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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist.<br> We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.<br> Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click.<br> RemoFirst manages employees and contractors for Fortune 500 companies (e.<br>g., Microsoft, Mastercard) and the best startups worldwide (e.<br>g., TransferGo).<br> We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc.<br> 5000 list of fastest-growing companies in 2025.<br> Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.<br> We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases.<br> This role goes beyond traditional data warehousing .<br>You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.<br> You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.<br> Key Responsibilities Design, build and maintain scalable data pipelines using modern data engineering tools (e.<br>g., dbt, Airflow, Prefect).<br> Develop and maintain dimensional and semantic data models to support analytics and operational use cases.<br> Build curated data products that support analytics and modern AI workloads.<br> Design data schemas and storage strategies optimized for both analytical and AI workloads.<br> Build and maintain version control workflows and isolated development/test environments.<br> Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.<br> Contribute to the architecture and evolution of the organization's modern data platform.<br> Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Senior Product Owner, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Data Lead which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation and 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.<br> Strong expertise in building scalable data pipelines using Python and SQL.<br> Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.<br> Strong experience with dimensional data modeling and semantic data models.<br> Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.<br> Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.<br> Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.<br> What we are looking for Strong ownership mindset with the ability to thrive in a fast-paced startup environment.<br> Ability to translate evolving business, analytics and AI requirements into scalable data solutions.<br> Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.<br> A senior engineer who balances architectural thinking with hands-on execution.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks.<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities</b></p><br><ul> <li>Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.</li> <li>Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.</li> <li>Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.</li> <li>Serve as a data ambassador, promoting a data-driven marketing culture within the organization.</li> <li>Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.</li> <li>Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.</li> <li>Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.</li> <li>Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.<br></li> </ul><br><p><b>Requirements</b></p><br><ul> <li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li> <li>A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.</li> <li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li> <li>Language skills : French and English (fluent) , Arabic is an advantage<br></li> </ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities </b></p><br><ul> <li>Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.</li> <li>Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.</li> <li>Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.</li> <li>Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.</li> <li>Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.</li> <li>Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.</li> <li>Engage in technology exploration and research, the development of PoC’s, conducting deep investigations.</li> <li>Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.</li> <li>Troubleshoot data issues and conduct root cause analysis when reporting data is in question.</li> <li>Work on Gen AI related initiatives aligned with the company goals.</li> </ul><br><p><b>Required Technical Skills</b></p><br><ul> <li>PySpark - Batch and Streaming</li> <li>GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage</li> <li>NoSQL (preferably MongoDB)</li> <li>Programming languages: Scala/Python</li> <li>Great Expectation, or similar DQ framework</li> <li>Familiarity with workflow management tools like: Airflow, Prefect or Luigi</li> <li>Understanding of Data Governance, Data Warehousing and Data Modelling</li> <li>Good SQL knowledge</li> </ul><br><p><b>Business</b></p><br><ul> <li>Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way</li> <li>Proactively identify and contribute with team development initiatives, and supporting junior members</li> </ul><br><p><b>Good to have skills</b></p><br><ul> <li>Infrastructure-as-Code, preferably Terraform</li> <li>Docker and Kubernetes</li> <li>Looker</li> <li>AI / ML engineering knowledge</li> <li>Lineage, or relevant tools e.g. Atlan</li> <li>DBT</li> </ul><br> </div>

<div><br></div> <div> <div><b> Responsibilities </b><div> <div> <div> <ul> <li>Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.</li> <li>Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.</li> <li>Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.</li> <li>Serve as a data ambassador, promoting a data-driven marketing culture within the organization.</li> <li>Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.</li> <li>Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.</li> <li>Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.</li> <li>Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.</li> </ul> </div> </div> </div> </div> </div> <div> <div><b> Requirements </b><div> <div> <div> <ul> <li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li> </ul> <ul> <li>A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.</li> <li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li> <li>Language skills : French and English (fluent) , Arabic is an advantage</li> </ul> <p> </p> </div> </div> </div> </div> </div> <div> <div><span style="font-size: 13px;">ontact us.</span></div></div>

<p>Identify, assess, and implement AI use cases within SAP business processes, applications, and enterprise environments. Design and develop AI-enabled solutions using SAP Business AI capabilities and SAP BTP services. Develop and integrate applications leveraging SAP AI Core, AI Launchpad, Generative AI Hub, and other relevant SAP AI services, where appropriate. Integrate Generative AI and Large Language Model (LLM) capabilities into SAP applications and business processes using appropriate APIs, SDKs, and SAP BTP services. Develop AI-powered extensions and side-by-side applications on SAP BTP, following clean core and modern extensibility principles. Build integrations between SAP systems, SAP BTP, AI services, and external systems using APIs, REST/OData services, events, and integration technologies. Work with SAP data and business objects to prepare, consume, and enrich data for AI-powered scenarios. Design and implement Retrieval-Augmented Generation (RAG), embeddings, vector search, and knowledge-based AI solutions where relevant to business requirements. Evaluate and integrate external AI/ML services and models with SAP environments when SAP-native capabilities do not fully address the business requirement. Develop prototypes and Proofs of Concept (PoCs) to demonstrate the feasibility and business value of AI use cases. Assess existing SAP applications and processes to identify opportunities for automation, intelligent assistance, prediction, classification, summarization, and other AI-driven capabilities. Analyse and provide solutions (workarounds, fixes, root-cause analysis) to incidents and technical issues affecting AI-enabled SAP solutions. Ensure AI solutions meet requirements related to security, data privacy, scalability, reliability, and responsible AI. Collaborate with business and technical teams to translate AI concepts into maintainable, production-ready SAP solutions. Participate in SAP S/4HANA and SAP BTP implementation, transformation, and clean core projects involving AI and intelligent automation. Handle other relevant tasks within the scope of SAP technical and AI support services for the client.</p><ul><li>4+ years of experience in SAP development, consulting, integration, or technical implementation, with significant exposure to SAP BTP and/or SAP Business AI.</li><li>Hands-on experience with SAP BTP and familiarity with its core services and development environments.</li><li>Practical experience implementing or integrating AI/ML or Generative AI solutions within SAP or enterprise environments.</li><li>Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, embeddings, vector databases/search, and Retrieval-Augmented Generation (RAG).</li><li>Experience integrating AI services and models through APIs, SDKs, or cloud services.</li><li>Experience with SAP Business AI capabilities and/or SAP AI Core, AI Launchpad, Generative AI Hub, or related SAP AI technologies.</li><li>Good understanding of SAP S/4HANA and SAP business processes, with the ability to identify suitable AI use cases within an SAP landscape.</li><li>Experience with programming and development technologies such as Python, JavaScript/Node.js, Java, or ABAP.</li><li>Experience with REST APIs, OData, JSON, and cloud-based integration technologies.</li><li>Understanding of SAP BTP architecture, including Cloud Foundry and relevant BTP services.</li><li>Understanding of security, authentication, authorization, and data protection considerations when implementing AI solutions.</li><li>Ability to analyse business requirements and translate them into technical AI solutions.</li></ul><p>Nice to Have</p><ul><li>Experience with SAP AI Core, AI Launchpad, Generative AI Hub, or SAP Joule-related technologies.</li><li>Experience with SAP Cloud Application Programming Model (CAP), SAPUI5/Fiori, or ABAP RESTful Application Programming Model (RAP).</li><li>Experience with hyperscaler AI services such as Microsoft Azure AI, AWS Bedrock, or Google Cloud Vertex AI.</li><li>Experience with Python-based AI/ML frameworks and libraries.</li><li>Experience with vector databases, vector search technologies, or knowledge graphs.</li><li>Experience implementing AI agents, agentic workflows, or tool/function-calling solutions.</li><li>Experience with SAP Integration Suite, API Management, Event Mesh, or other SAP BTP integration services.</li><li>Experience with Git-based development, CI/CD, and DevOps practices.</li><li>Experience with SAP S/4HANA implementation or transformation projects.</li><li>Knowledge of AI governance, responsible AI, model evaluation, and AI security.</li><li>SAP certifications relevant to SAP BTP, SAP Business AI, AI/ML, or SAP development.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Ability to understand client requirements and identify practical AI opportunities that deliver measurable business value using SAP technologies. Strong understanding of both SAP technology and modern AI concepts, with the ability to bridge the gap between business requirements and AI implementation. Good communication, interpersonal, and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Strong analytical and problem-solving skills, with a structured approach to investigating and resolving complex technical issues. Ability to evaluate new AI technologies and determine their relevance and applicability to SAP environments. Team player with the ability to work independently and adapt to different client environments and project requirements. Willingness to continuously upskill as SAP Business AI, Generative AI, SAP BTP, and the broader AI ecosystem evolve.</p>

<p>Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years. We are looking for a highly motivated Software Engineer to join our Hardware-Assisted Verification Division. You will be part of a high-performing FPGA-based prototyping R&amp;D team responsible for designing, developing, and debugging software programs for the Veloce proFPGA prototyping platform.</p><p>Job Responsibilities:</p><ul><li>Assist senior engineers in designing, developing, modifying, and implementing software for internal and external products, with a focus on exceeding customer expectations through high-quality and timely delivery.</li><li>Ensure the overall functional quality of released products across all required platforms and mechanisms.</li><li>Work under close supervision.</li><li>Apply basic skills with moderate levels of proficiency.</li><li>Develop software for low-level validation of components.</li><li>Integrate system components in close coordination with the software team.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s or Master s degree, or equivalent experience, in Computer Science or Electronics Engineering.</li><li>Experience with C++, algorithms, and object-oriented software development.</li><li>Proficiency in digital design using HDL languages such as VHDL, Verilog, and SystemVerilog.</li><li>Hands-on experience with FPGA design, FPGA tools (Vivado, Quartus), and static timing analysis (STA).</li><li>Strong debugging skills in RTL design and simulation.</li><li>Familiarity with Linux and scripting languages such as TCL, Bash, and Python.</li><li>Experience working in collaborative, multi-team environments using version control systems such as Git, Perforce, or SVN.</li><li>Fluent in English.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<p>LEONI is a global leading provider of products, solutions and services for energy and data management in the automotive industry. With around 86,000 employees in 21 countries and consolidated sales of EUR 3.9 billion in 2025 (excluding the former Automotive Cable Solutions division), we are a leading supplier of complex wiring systems and customer‑specific cable harnesses.</p><br><p>Since 2025, we have been part of the Luxshare Group, a global technology company headquartered in China. Together, we are shaping the future of mobility. Join us and help drive the transformation of the automotive world</p><br><br><br>Job Description<p>Are you excited by the potential of AI, automation, and low-code tools to transform how people work?&nbsp;</p><br><p>As an&nbsp;AI Community Enabler&nbsp;–&nbsp;Tech Expert &amp; Change Manager, you will be&nbsp;both&nbsp;the technical backbone&nbsp;and&nbsp;the community catalyst of&nbsp;LEONI’s&nbsp;global citizen development and AI&nbsp;community. Your mission is to ensure that our AI and Citizen Development transformation is not only technically sound, but also understood, embraced, and actively driven by our global business users.&nbsp;</p><br><p>You will&nbsp;care about&nbsp;the tools, trainings, and technical expertise that enable business users to innovate and automate at scale – and at the same time engage, inspire, and support them so that adoption, impact, and sustainability are maximized. You’ll bridge the gap between business and IT, simplifying complexity, fostering engagement, and empowering people to see themselves as part of the transformation.&nbsp;</p><br><p>This role is ideal for someone who thrives in a hands-on, solution-oriented environment, enjoys working with people, and wants to make a real impact across a global organization.&nbsp;</p><br><p><strong>1. Technical enablement &amp; expertise</strong></p><br><ul><li>Evaluate, set up, and maintain a best-in-class citizen development toolkit for automation/RPA and AI (especially Microsoft Power Platform and 365 Copilot) to be used by business users.</li><li>Provide technical guidance and support to community members on solution design, architecture, and troubleshooting.</li><li>Support business users in translating their needs into scalable and robust technical solutions.</li><li>Beware of existing citizen dev solutions and business needs. Proactively help in transferring solutions to areas where it makes sense.</li><li>Review, curate, and expand our internal citizen developer tools, a to-be-created solution marketplace, ensuring quality, reusability, and compliance with standards.</li><li>Contribute to a to-be-created Citizen Dev Knowledge Hub with technical best practices, documentation, blueprints, and how-to content.</li><li>Continuously identify and introduce new technologies and approaches that can scale across the company.</li><li>Act as a thought leader by exploring emerging AI/automation trends and translating them into practical solutions for the business in the context of citizen development.</li></ul><p><strong>2. Community building, change &amp; adoption</strong></p><br><ul><li>Engage, inspire, and grow our (just-starting) global AI and Citizen Dev Community.</li><li>Design, organize, and run community initiatives such as global challenges, dashboards, expert-sharing sessions, office hours, and community meetups.</li><li>Develop and maintain a Knowledge Hub with best practices, FAQs, success stories, and training resources.</li><li>Design and deliver training programs for employees (from executives to citizen developers) to improve AI literacy, citizen development skills, and prompt engineering, either by yourself or with external partners.</li><li>Collect user feedback and translate it into actionable improvements for tools, processes, and training.</li><li>Continuously innovate and improve how we communicate AI and Citizen Dev transformation and foster engagement.</li><li>Act as a culture champion, promoting change adoption and storytelling that inspires people to see themselves as part of the transformation.</li></ul><p><strong>3. Collaboration between business, IT &amp; AI</strong></p><br><ul><li>Besides with your internal business users and citizen developers, you work closely with AI Engineers, IT Professionals, and your peer AI Community Enabler to ensure seamless support for business users.</li></ul><p>Bridge the gap between business and IT by clarifying and assessing business requests and requirements for AI and automation use cases</p><br><br><br>Qualifications and Experience<p><strong>Must-have :</strong></p><br><p>· Strong expertise in Microsoft Power Platform (Power Automate, Power Apps, Copilot Studio, Power BI) and Microsoft 365 Copilot</p><br><p>· Experience with RPA tools and intelligent automation (MS Power Automate, plus awareness of other tools and their limitations).</p><br><p>· Solid understanding and broad knowledge of Generative AI and GenAI tools (especially MS 365 Copilot, Copilot Chat). Experience with GPT4All, open-source tools, ChatGPT (Enterprise), agentic AI is a plus.</p><br><p>· Basic understanding and experience with programming languages and scripting, especially Python and VBA; experience working with AI-assisted coding tools (GitHub Copilot, Cursor,…), APIs and relational/non-relational databases is a plus.</p><br><p>· Experience working with business users and translating their needs into technical solutions.</p><br><p>· Good communicator and storyteller, both verbal and written, with a knack for making complex topics feel simple and actionable.</p><br><p>· Empathetic mindset with strong user-centric thinking, especially when it comes to technology and change.</p><br><p>· Strong organizational and facilitation skills (e.g., running workshops, meetups, or training sessions).</p><br><p>· Motivation for change management, digital adoption, internal communications, or community building.</p><br><p>· Curious, self-driven, and eager to continuously improve, experiment, and learn new tools.</p><br><p><strong>Nice-to-have :</strong></p><br><p>· Experience with workflow and data automation tools (e.g. KNIME).</p><br><p>· Experience in scaling solutions and driving automation/AI programs at scale.</p><br><p>· Experience with design thinking, user journey mapping, or internal communication strategy.</p><br><p>· Knowledge about governance topics (responsible AI, data ethics, GDPR).</p><br><p>· Certifications in Microsoft Power Platform or AI/Automation tools.</p><br><br><br>Benefits<p>· You’ll be part of a cross-functional AI team with a startup spirit inside a global automotive supplier.</p><br><p>· You’ll work closely with colleagues (AI Community Enabler, AI Engineers, IT, community leads) to ensure both technical and change success.</p><br><p>· You will have the freedom to shape and grow a global citizen development and AI community, including its tools, technical foundation, and engagement formats.</p><br><p>· You’ll have the freedom to explore new tools and propose our citizen development tech stack.</p><br><p>· Your work can directly impact thousands of employees worldwide.</p><br><p>· Environment that values initiative, experimentation, and scalability.</p><br><p>· You’ll have room to grow, shape your role, and bring your own ideas to life.</p><br><p>· Opportunities for acquiring new, role-related certifications. · Hybrid/remote flexibility with occasional global travel.</p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a versatile and talented Full-stack Developer to grow with our global development team.<br> You will be working remotely on the main Assima platform application.<br> Your key role will be to implement features and maintain our platform developed in C# and .<br>NET framework.<br> There will be opportunities to work on the future version of our application as a backend developer (Python) or frontend (React) , depending on priorities and skills.<br> Roles and Responsibilities Develop and maintain features for our main platform Deploy code to production and respond to live incidents in production Work closely with developers and QA testers to deliver and meet expectations Work in an international environment with teams in multiple time zones Think out of the box and solve unique problems Attention to detail Core skills 3+ years of experience with C# Strong experience with .<br>NET Framework (ASPX) and ASP.<br>NET Experience with .<br>NET Core / ASP.<br>NET Core Experience with Microsoft SQL Server Extensive experience with legacy ASP.<br>NET is mandatory Bonus Experience with Entity Framework (EF / EF Core) Experience with WCF (Windows Communication Foundation) services Experience with RabbitMQ or other message brokers Strong knowledge of JavaScript, HTML, CSS, JQuery Understanding of asynchronous programming and multithreading Experience with TFS (Team Foundation Server) / Azure DevOps Familiarity with non-relational databases such as MongoDB and Apache Solr Special Requirements for the Role Ability to work and communicate clearly and efficiently with team members, with strong English communication both written and spoken M.<br>S. Degree in Computer Science or similar Work within a successful, dynamic, small and growing team Availability to work during CET business hours</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span>The Strategy &amp; Digital Manager is the primary architect of the plant’s future-state operating model. This dual-purpose leadership role is responsible for orchestrating the site’s five-year strategic roadmap—aligning capacity, sourcing, and "Funding the Growth" initiatives with long-term business objectives—while simultaneously spearheading the plant’s Industry 4.0 transformation.</span></p><br> <p><span>As the site’s central strategist and digital gatekeeper, you will bridge the gap between long-term operational planning and a digitally-enabled shop floor. By leveraging operational &amp; advanced analytics, digital tools, and emerging technologies, you will drive a data-centric culture that optimizes production, minimizes waste, and builds future-ready technical capabilities across the entire workforce.</span></p><br> <p><strong><span>Your Day to Day and The Future</span></strong></p><br> <p><span>Plant Strategy &amp; Operational Planning</span></p><br> <ul> <li> <p><span>Lead the five-year plant strategy process, ensuring a robust roadmap is in place to meet organizational growth and performance targets.</span></p><br> </li> <li> <p><span>Lead and coordinate short and long term capacity planning and road maps aligned with strategic sourcing and cost savings initiatives.</span></p><br> </li> <li> <p><span>Maintain factory capacity utilization models following the release of monthly forecasts.</span></p><br> </li> <li> <p><span>Partner with Division Network Operations to drive the timely and accurate collection of plant volume data for Budget and Latest Estimate (LE) reviews </span></p><br> </li> <li> <p><span>Develop and drive strategies for product and material portfolio simplification to improve plant performance and resilience.</span></p><br> </li> <li> <p><span>Lead and Coordinate the Funding The Growth Program to achieve savings targets (Coordinate Brainstorming Activities, Projects, go / no go decisions, benchmarking)</span></p><br> </li> </ul> <p><span>Digital Transformation</span></p><br> <ul> <li> <p><span>Develop and execute the plant-specific digital roadmap, aligning global/divisional/Plant initiatives to transition the plant from traditional to digital operations aligning with the key pillars of Industry 4.0.</span></p><br> </li> <li> <p><span>Act as the central gatekeeper for all plant-level digital requests and technology needs.</span></p><br> </li> <li> <p><span>Partner with plant functional leads to evaluate digital opportunities based on ROI, operational pain points, and technical feasibility.</span></p><br> </li> <li> <p><span>Drive the cultural shift toward digital ways of working through structured training, communication, and building a network of digital champions.</span></p><br> </li> <li> <p><span>Enforce an "Adopt-First" mindset, ensuring global or division tools are utilized before any local "self-service" development begins.</span></p><br> </li> <li> <p><span>Drive the utilization of both operational advanced analytics at all levels in the site to optimize production, minimize waste, and improve process efficiencies.</span></p><br> </li> </ul> <p><strong><span>You'll need to have:</span></strong></p><br> <ul> <li> <p><span>Bachelor’s Degree in a technical or analytical discipline.</span></p><br> </li> <li> <p><span>8+ years of manufacturing, production, or operations experience.</span></p><br> </li> <li> <p><span>Experience using analytical skills and working knowledge of databases and spreadsheets.</span></p><br> </li> <li> <p><span>Experience in Manufacturing Operations, Logistics, Planning, Quality, Safety, or Finance.</span></p><br> </li> </ul> <p><span>E</span><strong><span>ven better if you have:</span></strong></p><br> <ul> <li> <p><span>Proven supply chain domain knowledge (process, systems, and data) with solid operational experience in demand or supply; end-to-end experience strongly preferred.</span></p><br> </li> <li> <p><span>End-to-end supply chain experience covering planning, logistics, manufacturing, and/or customer service.</span></p><br> </li> <li> <p><span>Experience with ML models and/or cloud architecture.</span></p><br> </li> <li> <p><span>Formal certifications (e.g., PMP, CSM or equivalent Agile certifications).</span></p><br> </li> <li> <p><span>Experience working in a global matrixed organization and/or with global functional roadmaps.</span></p><br> </li> <li> <p><span>Demonstrated experience driving large-scale change management and digital adoption with diverse stakeholders.</span></p><br> </li> <li> <p><span>Experience with SQL/Python for data manipulation and analytics.</span></p><br> </li> <li> <p><span>Experience integrating GenAI/LLM into business processes.</span></p><br> </li> <li> <p><span>Proficiency in Agile/Scrum and project or product lifecycle management</span></p><br> </li> <li> <p><span>Strong interpersonal skills with the ability to communicate complex data to all levels of the organization.</span></p><br> </li> </ul> </div>

<p>Essential Job Functions: Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments. Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation. Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes. Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies. Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications. Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling. Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</p><p><strong>Desired Candidate Profile</strong></p><b>Basic Qualifications:</b><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience. Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles. Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments. Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices. Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services. Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms. Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration. Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions. Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices. Proficiency in automation scripting using Bash, Python, or similar languages.</p><b>Other Qualifications:</b><p>Experience with infrastructure-as-code and cloud automation technologies is a plus. Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred. Strong problem-solving, troubleshooting, and analytical skills. Excellent communication and collaboration skills with cross-functional technical teams. Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</p>

<p>Essential Job Functions: Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments. Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation. Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes. Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies. Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications. Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling. Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles.</li><li>Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments.</li><li>Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices.</li><li>Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services.</li><li>Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms.</li><li>Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration.</li><li>Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions.</li><li>Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices.</li><li>Proficiency in automation scripting using Bash, Python, or similar languages.</li><li>Experience with infrastructure-as-code and cloud automation technologies is a plus.</li><li>Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred.</li><li>Strong problem-solving, troubleshooting, and analytical skills.</li><li>Excellent communication and collaboration skills with cross-functional technical teams.</li><li>Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><br><ul><li><p><span><span>Identify, assess, and implement AI use cases within SAP business processes, applications, and enterprise environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Design and develop AI-enabled solutions using SAP Business AI capabilities and SAP BTP services.</span></span></p><br></li></ul><br><ul><li><p><span><span>Develop and integrate applications leveraging SAP AI Core, AI Launchpad, Generative AI Hub, and other relevant SAP AI services, where appropriate.</span></span></p><br></li></ul><br><ul><li><p><span><span>Integrate Generative AI and Large Language Model (LLM) capabilities into SAP applications and business processes using appropriate APIs, SDKs, and SAP BTP services.</span></span></p><br></li></ul><br><ul><li><p><span><span>Develop AI-powered extensions and side-by-side applications on SAP BTP, following clean core and modern extensibility principles.</span></span></p><br></li></ul><br><ul><li><p><span><span>Build integrations between SAP systems, SAP BTP, AI services, and external systems using APIs, REST/OData services, events, and integration technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Work with SAP data and business objects to prepare, consume, and enrich data for AI-powered scenarios.</span></span></p><br></li></ul><br><ul><li><p><span><span>Design and implement Retrieval-Augmented Generation (RAG), embeddings, vector search, and knowledge-based AI solutions where relevant to business requirements.</span></span></p><br></li></ul><br><ul><li><p><span><span>Evaluate and integrate external AI/ML services and models with SAP environments when SAP-native capabilities do not fully address the business requirement.</span></span></p><br></li></ul><br><ul><li><p><span><span>Develop prototypes and Proofs of Concept (</span><span>PoCs</span><span>) to demonstrate the feasibility and business value of AI use cases.</span></span></p><br></li></ul><br><ul><li><p><span><span>Assess existing SAP applications and processes to identify opportunities for automation, intelligent assistance, prediction, classification, summarization, and other AI-driven capabilities.</span></span></p><br></li></ul><br><ul><li><p><span><span>Analyse and provide solutions (workarounds, fixes, root-cause analysis) to incidents and technical issues affecting AI-enabled SAP solutions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ensure AI solutions meet requirements related to security, data privacy, scalability, reliability, and responsible AI.</span></span></p><br></li></ul><br><ul><li><p><span><span>Collaborate with business and technical teams to translate AI concepts into maintainable, production-ready SAP solutions.</span></span></p><br></li></ul><br><br><ul><li><p><span><span>Participate in SAP S/4HANA and SAP BTP implementation, transformation, and clean core projects involving AI and intelligent automation.</span></span></p><br></li></ul><br><ul><li><p><span><span>Handle other relevant tasks within the scope of SAP technical and AI support services for the client.</span></span><br></p><br></li></ul><br><p><b><span>Experience Required</span></b></p><br><br><ul><li><p><span><span>4+ years of experience in SAP development, consulting, integration, or technical implementation, with significant exposure to SAP BTP and/or SAP Business AI.</span></span></p><br></li></ul><br><ul><li><p><span><span>Hands-on experience with SAP BTP and familiarity with its core services and development environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Practical experience implementing or integrating AI/ML or Generative AI solutions within SAP or enterprise environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, embeddings, vector databases/search, and Retrieval-Augmented Generation (RAG).</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience integrating AI services and models through APIs, SDKs, or cloud services</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with SAP Business AI capabilities and/or SAP AI Core, AI Launchpad, Generative AI Hub, or related SAP AI technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Good understanding of SAP S/4HANA and SAP business processes, with the ability to identify suitable AI use cases within an SAP landscape.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with programming and development technologies such as Python, JavaScript/Node.js, Java, or ABAP.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with REST APIs, OData, JSON, and cloud-based integration technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Understanding of SAP BTP architecture, including Cloud Foundry and relevant BTP services.</span></span></p><br></li></ul><br><ul><li><p><span><span>Understanding of security, authentication, authorization, and data protection considerations when implementing AI solutions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ability to analyse business requirements and translate them into technical AI solutions.</span></span><br></p><br></li></ul><br><p><b><span>Nice to Have</span></b></p><br><br><ul><li><p><span><span>Experience with SAP AI Core, AI Launchpad, Generative AI Hub, or SAP Joule-related technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with SAP Cloud Application Programming Model (CAP), SAPUI5/Fiori, or ABAP RESTful Application Programming Model (RAP).</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with </span><span>hyperscaler</span><span> AI services such as Microsoft Azure AI, AWS Bedrock, or Google Cloud Vertex AI.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with Python-based AI/ML frameworks and libraries.</span></span></p><br></li></ul><br><br><ul><li><p><span><span>Experience with vector databases, vector search technologies, or knowledge graphs.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience implementing AI agents, agentic workflows, or tool/function-calling solutions.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with SAP Integration Suite, API Management, Event Mesh, or other SAP BTP integration services.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with Git-based development, CI/CD, and DevOps practices.</span></span></p><br></li></ul><br><ul><li><p><span><span>Experience with SAP S/4HANA implementation or transformation projects.</span></span></p><br></li></ul><br><ul><li><p><span><span>Knowledge of AI governance, responsible AI, model evaluation, and AI security</span><span>.</span></span></p><br></li></ul><br><ul><li><p><span><span>SAP certifications relevant to SAP BTP, SAP Business AI, AI/ML, or SAP development.</span></span></p><br></li></ul><br><p><b><span>Personal Profile/Attributes</span></b></p><br><br><ul><li><p><span><span>Ability to understand client requirements and identify practical AI opportunities that deliver measurable business value using SAP technologies.</span></span></p><br></li></ul><br><ul><li><p><span><span>Strong understanding of both SAP technology and modern AI concepts, with the ability to bridge the gap between business requirements and AI implementation.</span></span></p><br></li></ul><br><ul><li><p><span><span>Good communication, interpersonal, and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.</span></span></p><br></li></ul><br><ul><li><p><span><span>Strong analytical and problem-solving skills, with a structured approach to investigating and resolving complex technical issues.</span></span></p><br></li></ul><br><ul><li><p><span><span>Ability to evaluate new AI technologies and determine their relevance and applicability to SAP environments.</span></span></p><br></li></ul><br><ul><li><p><span><span>Team player with the ability to work independently and adapt to different client environments and project requirements.</span></span></p><br></li></ul><br><ul><li><p><span><span>Willingness to continuously upskill as SAP Business AI, Generative AI, SAP BTP, and the broader AI ecosystem evolve.</span></span></p><br></li></ul><br><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </div>

<p>Develop, maintain, and enhance shared platform libraries and reusable components that support multiple applications, services, and AI-enabled solutions. Design and implement cross-functional features spanning backend services, frontend applications, and AI agent ecosystems to ensure seamless platform integration. Define and execute comprehensive testing strategies, including unit testing, integration testing, and end-to-end validation to ensure platform reliability and quality. Improve developer productivity by enhancing local development environments, technical documentation, debugging tools, and engineering best practices. Rapidly prototype and iterate innovative AI agents, user interfaces, forms, and mini-applications using vibecoding frameworks and reusable platform tooling. Support software release management activities, including version control, environment promotion processes, deployment validation, and production readiness reviews. Monitor, troubleshoot, and resolve production incidents across platform components while contributing to continuous service improvement and operational excellence. Collaborate with engineering, product, and business teams to deliver scalable, secure, and high-quality technology solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in full-stack software development using Python and modern JavaScript/TypeScript frameworks.</li><li>Hands-on experience developing both backend services and frontend applications using technologies such as FastAPI, Next.js, React, or equivalent frameworks.</li><li>Strong understanding of software testing methodologies and experience with testing frameworks such as pytest, Jest, Playwright, or similar tools.</li><li>Familiarity with Docker containerization, CI/CD practices, and Kubernetes fundamentals within cloud-native environments.</li><li>Demonstrated ability to quickly learn and adopt new development frameworks, tools, protocols, and emerging technologies.</li><li>Working knowledge of AI and Large Language Model (LLM) concepts, including agent architectures, prompt engineering, and external tool integration patterns.</li><li>Strong debugging, troubleshooting, and incident response capabilities in production environments.</li><li>Experience contributing to collaborative software development processes using modern version control and DevOps practices.</li><li>Experience working within platform engineering, developer productivity, or internal tooling teams is a plus.</li><li>Familiarity with AI agent platforms, orchestration frameworks, and modern application integration architectures is preferred.</li><li>Strong analytical thinking, problem-solving, and decision-making skills.</li><li>Excellent communication and collaboration abilities in cross-functional team environments.</li><li>Relevant certifications in Software Development, Cloud Technologies, DevOps, Artificial Intelligence, or related disciplines are a plus.</li><li>Passion for continuous learning, innovation, and improving engineering efficiency across the software development lifecycle.</li></ul>