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Process streamlining and automation: Leverage your programming expertise and AI knowledge to enhance internal systems, automate processes for Compliance and CLI and add some AI into the Departments’ day to day work....

• Develop and implement AI-driven workflows for optical system design
• Combine modeling, simulation, data analytics, and machine learning to enable efficient
• design processes
• Contribute to modern software and toolchains for advanced system development

• You design and evolve our GKE platform, including architecture, networking, autoscaling, security and capacity planning.
• You develop our GitOps delivery platform with ArgoCD, Helm and Kustomize and enable reliable software delivery.

• Design and implement production-grade features on a modern anchor stack
• Rebuild complex functional modules month-by-month with progressive cutover, working in one focused senior team
• Move business rules from compiled legacy code into a central, configuration-driven rule store

Providing technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment...

• Leading the design, development, testing, and deployment of enterprise software solutions
• Driving the full software development lifecycle, from requirements gathering to production support
• Building and enhancing automated testing frameworks to improve software quality and release speed

You advise our customers in the context of ServiceNow architecture in such a target-oriented way that the business processes digitally transformed with ServiceNow have an innovative effect and innovatively improve amortization times....

Working directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

Design and build a new generation of C++23 backend services that orchestrate the full detector acquisition lifecycle (configuration, arming, triggering, streaming, teardown). You'll analyse an existing product to define the architecture, deciding what to carry forward, what to redesign, and where...

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Analyzing business processes and collaborating with stakeholders to identify, assess, and prioritize automation opportunities
• Designing, developing, testing, and deploying scalable end-to-end automation solutions using UiPath, following industry best practices and enterprise standards

• Define end-to-end architecture for on-prem / air gapped AI platforms, including compute, storage, networking, and model serving layers.
• Design and implement portable AI infrastructure using open-source components (model serving, orchestration, vector storage, pipelines).

Planning, implementation, development and testing of HW/SW components for the company backbone and data center networks (Layer 2&3 networks interconnects company datacenters & cloud instances inside company as well as external partner/client networks)...

• Lead and mentor a distributed US team of 13 engineers across AI/ML, cloud backend, frontend, and DevOps.
• Conduct regular 1:1s, manage performance, support career development, and foster a high-trust, continuous-learning team culture.

• Developing, testing, and continuously improving cloud-native CaaS and PaaS capabilities, primarily using Go
• Contributing to Kubernetes operators and controllers that automate cluster and platform lifecycle processes

• Designing, developing, testing, and continuously improving cloud-native CaaS and PaaS capabilities, primarily using Go
• Developing Kubernetes operators and controllers to automate cluster, platform, and application lifecycle processes

• Define and own the program-wide test strategy: automation, regression suite, environment management, and sign-off gates for every module go-live
• Build the automation pipeline from the ground up during the foundation phase — the new platform must not inherit the legacy system's sparse test coverage

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Write code that is simple, readable, testable, and maintainable, whether you write it yourself or with the help of AI tools
• Conduct code reviews, give helpful feedback, actively contribute in team discussions and decisions

• Operate, maintain and continuously improve enterprise Red Hat OpenShift environments and surrounding platform services
• Design and implement enhancements to existing Kubernetes and OpenShift environments