Senior Automation & Controls Engineer M/F

voize

🎤 WHY VOIZE? BECAUSE WE’RE MORE THAN JUST A JOB! At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people. Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don't replace humans with technology - we amplify their impact. Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission!   💡 YOUR MISSION: DELIGHT CUSTOMERS, OPTIMIZE PROCESSES! As DevOps Engineer, you will build and own voize's platform and infrastructure — from cloud and edge systems to ML data pipelines; ensuring our systems are secure, reliable, and compliant. You will enable product and ML teams to ship state-of-the-art healthcare AI with confidence to hospitals, care facilities, and mobile devices across Europe.   🚀 YOUR DAILY BUSINESS - NO TWO DAYS ARE ALIKE * Own and operate our Kubernetes clusters (AWS EKS production, bare-metal K3s for ML training, on-premises appliances running K3s) using GitOps (FluxCD) and Infrastructure as Code (CloudFormation, Ansible) * Manage the lifecycle of on-premises gateway appliances deployed at customer sites — VM image builds, TLS certificate automation, staged rollouts via GitOps, remote monitoring and troubleshooting * Build and maintain monitoring, alerting, and observability infrastructure (Prometheus, Grafana, Loki, Tempo, OpenTelemetry) across cloud and edge environments * Drive compliance automation — security hardening, access controls, audit logging, encrypted secrets management (SOPS/KMS), and evidence collection for C5, HIPAA, and HDS certifications * Support and scale ML training and data processing infrastructure — GPU cluster management, training job orchestration, and data pipeline reliability, working closely with the ML team to power state-of-the-art speech and language models * Incident response — detection, triage, resolution, and post-incident reviews for infrastructure issues.   🤝 YOUR SKILLSET - WHAT YOU BRING TO THE TABLE * Strong experience operating Kubernetes in production (cluster operations, troubleshooting, networking, storage) * Experience with GitOps workflows * Experience working with monitoring and observability stacks * Security-minded — you have strong understanding of encryption, access controls, secrets management * Solid Linux systems administration skills, and experience with CI/CD pipeline design and maintenance. * You are comfortable with taking shifts in on-call rotations. We typically share a time zone with our customers (currently CET, with potential growth to EST).   🌱 GROWING TOGETHER – WHAT YOU CAN EXPECT AT VOIZE * We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people * We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across Germany * Become a co-creator of our success with stock options * Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses * You decide when you work best, that means flexible working hours and a good hybrid set-up.   ✨ READY TO TALK? APPLY NOW! 🚀 We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!

Awin

About the AI Platform Team The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently. We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence. This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization. About the role We are looking for a Senior AI Platform Engineer - Security & Governance to join the AI Platform Team and help define and implement the guardrails, privacy patterns, governance mechanisms, and safe defaults that allow AI adoption to scale responsibly across Awin. In this role, you will work on the safety and control layer of AI development: AI security patterns, privacy and PII handling guidance, provider and model governance, reusable guardrails, and lightweight readiness mechanisms that improve safety without creating unnecessary process. This role is best suited to someone who combines strong engineering judgment with real practical experience in security, governance, privacy, or compliance for AI-powered systems. We care more about evidence of sound decision-making and pragmatic implementation than about titles or years in a specific niche. What youʼll do * Define and improve practical guardrails and safe defaults for AI-powered systems * Help shape Awinʼs approach to privacy, PII handling, and data-safe patterns for AI workflows * Contribute to approved provider and model guidance, including practical validation and usage expectations * Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls * Help define production-ready expectations for AI systems from a safety, governance, and risk perspective * Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes * Help improve logging, tracing, and observability practices so AI systems are auditable and safer to operate * Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate * Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene * Write clear documentation, patterns, and guidance that help teams apply standards consistently * Contribute to strong engineering practices across the team through clean code, testing, and collaboration  * Mentor others and help raise the teamʼs overall maturity in AI safety, governance, and privacy-aware engineering Requirements * Strong software engineering fundamentals and experience working on production systems * Practical experience in security, governance, privacy, compliance, or risk-related engineering work * Clear hands-on experience applying those controls to AI- or LLM-powered systems * Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns * Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults * Good understanding of how to make AI systems observable, auditable, and safer to operate in production * Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal * Good practical experience with Python and/or JavaScript / TypeScript * Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration * Good understanding of information security and how to design solutions with security in mind * Comfortable applying unit testing, continuous integration, and continuous deploymentStrong communication skills, both synchronous and asynchronous * Comfortable working through ambiguity and helping shape standards where the right balance between safety and speed is still evolving * Strong judgment and pragmatism, with an ability to improve safety without introducing excessive bureaucracy Nice to have * Experience designing or implementing guardrails for AI or LLM-powered systems * Experience with AI governance automation, readiness gates, policy checks, or preflight validation patterns * Familiarity with tracing, auditability, and logging standards for AI systems * Familiarity with evaluation workflows, regression checks, and production readiness practices for AI * Experience assessing third-party AI providers or model usage from a risk or governance perspective *  Experience with privacy-by-design patterns in data-sensitive systems * Experience working in regulated or higher-risk environments * Experience writing clear developer guidance and turning repeated risk questions into reusable standards Tools and technologies you may work with: * Python * JavaScript / TypeScript * Azure / AWS * LLM APIs * CI/CD tooling * Observability and tracing tools * Policy and validation patterns * Internal platform services, standards, and governance tooling Working style We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value. A strong fit for this role is someone who: * Thinks clearly about real-world AI risk, not just theoretical concerns * Can balance safety, speed, and developer experience * Communicates clearly and helps others understand trade-offs * Prefers reusable controls and automation over manual gatekeeping * Is comfortable collaborating across engineering, security, architecture, and legal boundaries * Writes clear, actionable guidance rather than vague policy language * Is proactive about identifying risk patterns early and turning them into scalable solutions * Enjoys helping other engineers build safer systems without slowing them down unnecessarily Our Offer * Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. * Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. * Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. * Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. * Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1

Marvel Fusion

WHO WE ARE Founded in 2019, Marvel Fusion is Europe’s leading fusion energy company, uniting 75 scientists, engineers, and entrepreneurs across our locations in Munich and Colorado.  Backed by over €385 million in public and private funding, we’re driven by a shared mission: to deliver clean, abundant energy to the world.  WHY MARVEL FUSION By joining us, you will be: * Solving one of the most complex technological challenges known to humanity, harnessing Fusion on Earth * Part of a highly purpose-driven team working on providing the world with clean, safe and abundant energy * Working alongside world-leading scientists and entrepreneurs in the field of Fusion * Part of a start-up where growth on a company and individual level is the default As a Software Engineer you will develop the software backbone of our laser facility. You will work at the intersection of complex, time-critical hardware and modern software technologies, building robust applications, services and tooling for automated development, testing and deployment. You will collaborate closely with engineers and scientists who develop and operate high power laser systems. Your work will be critical to achieving stable, repeatable and safe laser operation on the path to commercial fusion energy. YOUR RESPONSIBILITIES * Design, develop and maintain software applications and services for laser facility operation, data handling and automation * Build and support CI/CD pipelines, testing frameworks and deployment tooling * Elicit and manage technical requirements together with engineers and scientists * Collaborate on, and continuously improve, the architecture and technology stack * Define and document functional specifications, test plans and acceptance criteria WHAT YOU BRING * Bachelor's or Master's degree in Computer Science, IT or a related Engineering field * 3+ years of hands-on industry experience in software development (backend, systems or application development) * Strong programming skills in languages like C++, Python, Java, C#, Kotlin, Rust or similar * Solid grasp of modern software development practices, processes and tools (CI/CD, Git, automated testing, etc.) * Experience working in a software development team following established practices and processes * Fluent English; German proficiency is welcome * Flexibility, adaptability and a hands-on, can-do attitude WHAT SETS YOU APART * Experience with development of distributed systems * Experience interfacing software with hardware (PLCs, embedded systems, instrumentation) * Experience with EPICS (epics-controls.org) or other control system frameworks * Experience working with scientific facilities like laser laboratories, accelerators, etc. * Understanding of real-time concepts and industrial interfaces such as EtherCAT, Modbus-TCP, and serial protocols WHAT WE OFFER Our mission is motivation enough for many. But we also support our team with benefits that foster wellbeing and growth:  * Public transport reimbursement  * EGYM Wellpass fitness club access  * Complimentary health insurance  * Professional development support  * Healthy office snacks  For more information on how we process your application data, please review our privacy notice.