DevOps Engineer - Backend Development

Join Our Team as a DevOps Engineer!Full-time | Munich | Seed Stage | Equity + SalaryHelp Us Build a Generational CompanyAt Knowlix, we are dedicated to amplifying the productivity of small businesses. Our goal is to establish ourselves as the leading platform for human-AI and AI-to-AI collaboration.Though we are still in the early stages, our vision is expansive. This is a unique opportunity for you to influence a product that will serve millions and redefine an industry.We prioritize speed, frequent shipping, and a commitment to quality. If you are passionate about building, deploying, and scaling innovative solutions with AI, we invite you to join us.Why Choose Knowlix Now?Well-funded seed-stage startup with top-tier investors and seasoned founders.Proven technology with early users experiencing the initial magic.Targeting a substantial market with a transformative product.Be among the first team members, with significant influence and ownership in the company's direction.We believe that speed is a product of focus and iteration.This is more than a job; it's your chance to contribute to a once-in-a-generation company.The RoleIn this position, you will architect, maintain, and enhance our DevOps pipelines utilizing Bitbucket Pipelines and AWS CodePipeline, CodeBuild, and CodeArtifact. You'll design modular pipeline-as-code workflows with reusable YAML configurations and deploy advanced strategies like canary and blue-green deployments. Collaborating closely with product and engineering teams, you will facilitate progressive delivery through feature toggles and automated rollback triggers.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower clients to seamlessly integrate our cutting-edge coding tools throughout their software development lifecycle. As trusted technical partners, we collaborate closely with engineering teams to incorporate Codex into their workflows. Our diverse clientele ranges from agile digital-native startups to large-scale global enterprises, and together, we enhance their software planning, building, and delivery processes.Role OverviewWe are on the lookout for an innovative and technically adept AI Deployment Engineer who is an enthusiastic user of AI coding tools and is driven to elevate developer productivity. In this role, you will work hand-in-hand with engineering leaders and practitioners to design, validate, and scale sophisticated AI workflows, employing Codex to prototype and create demonstrations, integrations, and automations that our customers will adopt.This cross-functional position merges technical architecture, product strategy, and customer engagement. You will collaborate with Sales, Solutions Engineering, Product, Applied Engineering, and the larger Codex team to represent customer needs, influence product direction, and expedite the successful implementation of intelligent coding systems across influential organizations globally.Key ResponsibilitiesAct as the primary technical expert on OpenAI Codex for a select group of customers, deeply embedding yourself to empower their engineering teams and enhance coding workflows.Collaborate closely with customers to design and execute AI-enhanced development workflows, from rapid prototyping to scalable production implementations.Create high-quality demos, reference implementations, and workflow automations, using Codex as an integral part of your development process.Facilitate large-scale workshops, technical deep dives, and practical enablement sessions that help engineering organizations effectively and safely adopt AI coding tools.Contribute technical resources, including examples, guides, patterns, and best practices, to the OpenAI Cookbook, aiding the wider developer community in leveraging Codex.Collect detailed product feedback from real customer deployments to translate into actionable product proposals and insights for internal teams.Shape customer strategy and influence decision-making by elucidating the role of AI coding tools in their software development lifecycle.

About the RoleJoin OpenAI as a Partner AI Deployment Engineer (P-ADE) and play a pivotal role in driving technical execution with our partners throughout EMEA. Your main objective will be to facilitate the scaling of customer deployments leveraging the robust OpenAI platform. This position encompasses a diverse array of customer use cases, focusing on the design, implementation, and enhancement of production-grade AI solutions delivered via our partners.In this position, you will collaborate closely with partner delivery teams, Solutions Engineers (SEs), Forward Deployed Engineers (FDEs), and fellow ADEs to guide customer projects from initial design stages to stable, scalable production environments. Your contributions will expedite the realization of value, mitigate delivery risks, and ensure all solutions adhere to OpenAI’s stringent standards for quality, safety, and reliability. Engage with Go-To-Market (GTM), Applied, and Research teams to foster partner-driven enterprise adoption.This position is available in either Paris or Munich, utilizing a hybrid work model of three in-office days each week, with relocation assistance provided for new team members.Your Responsibilities:Serve as the primary technical delivery partner for OpenAI's partners across EMEA, facilitating customer deployments across various industries and use cases.Partner with delivery teams and customer stakeholders to transform solution designs into deployable, production-ready architectures on the OpenAI platform.Enhance customer time to value through hands-on prototyping, integration support, architectural guidance, and troubleshooting during critical delivery phases.Work collaboratively with SEs, FDEs, and other ADEs to ensure appropriate technical expertise is engaged throughout the design and production rollout phases.Assist partners in operationalizing solutions, addressing scalability, reliability, security, and safety considerations essential for enterprise production environments.Contribute to the development of reusable deployment patterns, reference architectures, and delivery guidelines that promote efficient execution across partner engagements.Act as a technical quality and governance checkpoint during deployments, ensuring solutions meet OpenAI’s standards and best practices pre- and post-launch.Gather and synthesize feedback from real-world customer deployments, sharing insights with Applied, Research, and partner teams to refine delivery playbooks and enhance platform capabilities.Ideal Candidate:Possess a minimum of 8 years of relevant experience in technology deployment, engineering, or a related field.

airapps is seeking a Mobile DevOps Engineer in Munich to help strengthen development and deployment processes for mobile applications. This position centers on improving workflows and supporting the full mobile development lifecycle. Role overview This role focuses on refining how mobile apps are built, tested, and delivered. The Mobile DevOps Engineer will work with the team to identify bottlenecks, automate routine tasks, and help ensure smooth releases. What you will do Enhance and maintain development pipelines for mobile projects Streamline deployment processes to boost efficiency Collaborate with developers to support continuous integration and delivery Who we’re looking for Experience with DevOps practices in mobile development Ability to analyze and improve existing workflows Interest in driving efficiency and quality in app releases

As a Senior DevOps Engineer at rw1, you will play a pivotal role in maintaining and enhancing a robust Azure-based cloud infrastructure that supports our cutting-edge XR solutions, ensuring they operate reliably at scale for leading organizations in the life sciences sector. Your responsibilities will include designing resilient, production-ready deployment solutions and automation pipelines that streamline our product development and delivery processes, while ensuring seamless operations. With your technical expertise and proactive ownership, you will guarantee that our cloud infrastructure remains performant, resilient, secure, scalable, and maintainable over the long term.

Join Causa Prima as a Senior DevOps / Infrastructure Engineer, where you will take ownership of our cloud infrastructure. Your work will encompass CI/CD pipeline creation, production monitoring, security enhancements, and cost optimization, laying the groundwork for a platform managing sensitive financial data at scale.Your Responsibilities:GCP Infrastructure: Develop and manage Cloud Run (API), GKE Autopilot (agents, GPU nodes), VPC with private subnets, dedicated Cloud SQL instances, IAM, and Secret Manager using Infrastructure-as-Code.CI/CD: Design secure pipelines utilizing GitHub Actions and Cloud Build, implementing production approval gates, container image scanning, secret isolation, and signed commits.Observability: Implement OpenTelemetry distributed tracing for TypeScript and Python services, utilize Cloud Monitoring, and Sentry with PII-stripping hooks, ensuring structured logging and tiered alerting.Secret Management & Rotation: Manage credential lifecycles for LLM API keys, database credentials, OAuth tokens, and agent signing keys with GCP Secret Manager.Container Orchestration: Handle Docker builds, registry management, and GKE cluster configuration, designing the roadmap for Kubernetes-native deployment as we scale.Incident Response Infrastructure: Establish per-agent circuit breakers, graceful degradation, and forensic tooling through event store replay and traces.Network Security: Configure VPC firewall rules, private ingress for all data stores, and egress controls for PII Vault within restricted-access infrastructure.Neo4j Aura Operations: Oversee monitoring, scaling decisions, and backup verification for the managed graph database.

Join our innovative team as a Cloud and DevOps Engineer!Be responsible for the design, implementation, and maintenance of state-of-the-art server and cloud systems.Engage in hands-on development and automation within the cloud environment.Provide 2nd and 3rd level support for various technical issues.Independently lead national and international IT projects.Advise and support business units on cloud-related projects.

JOIN US IN REVOLUTIONIZING HEALTHCAREAt Avelios, our mission is to develop a premier software platform driving the data-driven digitization of hospitals and patient care. We have created a modular software platform that enhances and digitizes workflows in hospitals, utilizing cutting-edge technology in an intuitive manner. Our software empowers hospitals, doctors, and nurses to deliver the highest quality of care to their patients.As we experience rapid growth, we are eager to expand our team and business to significantly transform healthcare for the better. We value diverse backgrounds and consider diversity one of our greatest strengths.THE ROLEWe are seeking a Senior DevOps Engineer (all genders) to join our infrastructure team, taking charge of the deployment and operation of our software in both cloud and clinical settings. You will work closely with developers and product teams to ensure our systems are scalable, secure, and reliable. This position plays a crucial role in enhancing healthcare delivery through seamless and robust technology.KEY RESPONSIBILITIESCollaborate extensively with our core development team to implement new features and servicesDesign, test, deploy, and maintain the infrastructure supporting Avelios in hospitals and the cloudManage and enhance large-scale deployments with stringent availability and performance demandsImplement best practices in observability, incident response, and fault toleranceEnsure our systems are secure, reliable, and scalable in clinical environmentsContinuously suggest and implement enhancements to performance, automation, and toolingYOUR PROFILEDegree in Informatics, Computer Science, or a related field, or equivalent hands-on experienceProven experience with Docker, Kubernetes, CI/CD pipelines, and Linux environmentsFamiliarity with monitoring, alerting, and logging best practicesExperience with modern toolchains and infrastructure-as-code (e.g., Terraform, Ansible) is a plusStrong enthusiasm for exploring new technologies and thriving in a fast-paced, impactful environmentSolution-oriented mindset with a pragmatic, hands-on approach to work

About the RoleJoin OpenAI as a Partner AI Deployment Engineer (ADE) and take charge of our senior technical collaborations with renowned firms such as McKinsey, BCG, and Bain on a global scale. In this pivotal position, you will serve as the key technical liaison for MBB advisory partners, guiding complex enterprise proposals and transformation initiatives to ensure that OpenAI’s platform is strategically positioned, designed, and implemented to align with executive-level AI objectives.This role is uniquely situated at the convergence of strategy, architecture, and execution. You will collaborate closely with MBB partners and principals to translate high-level executive strategies into scalable, production-ready AI solutions leveraging the OpenAI platform. Your responsibilities will span various industries and projects, where you will shape solution direction, inform architectural choices, and coordinate seamless delivery between OpenAI and partner teams.This position is available in Munich or Dublin, operating under a hybrid work model that allows for three days in-office each week. We also provide relocation assistance for new hires.Key Responsibilities:Serve as the senior technical representative for McKinsey, BCG, and Bain in high-priority enterprise initiatives and transformation programs.Act as the primary technical liaison with MBB Partners and Principals during proposal development and client engagements.Translate board-level AI strategies into actionable technical architectures, delivery plans, and platform roadmaps.Provide architectural guidance across multiple concurrent programs, ensuring consistency, quality, and alignment with OpenAI standards.Coordinate ADEs and Forward Deployed Engineers (FDEs) across MBB-led projects, engaging the right expertise at each phase.Guide partners and clients through critical decisions regarding platform design, scalability, governance, safety, and reliability.Assist in developing repeatable industry solutions and transformation patterns utilizing the OpenAI platform.Act as a technical escalation point during complex or high-risk delivery phases to mitigate execution risks.Represent MBB partners internally, synthesizing insights from large-scale programs into actionable feedback for Product and Research teams.You Will Succeed in This Role If You:Have experience in a highly technical role at McKinsey, BCG, or Bain.

Join brainlab as a Senior/Advanced Software Engineer specializing in DevOps to drive innovation and optimize our software development processes. You will collaborate with cross-functional teams to enhance our deployment pipelines and ensure the robustness and reliability of our applications.

About Emidat Emidat builds a climate-focused product management system tailored for building material manufacturers. The platform helps reduce the carbon footprint of construction materials, which contribute 11% of global greenhouse gas emissions. By gathering real-world production data, Emidat creates digital product passports with verified environmental information, making this data available across the entire value chain. The system supports assessment, design, purchasing, sales, and management of products with sustainability as a core principle. The team is developing a digital infrastructure to support faster, simpler, and more sustainable construction. Learn more about Emidat, the team, and company values. Role Overview: Senior DevOps Engineer (Munich) The Senior DevOps Engineer will guide the design and upkeep of Emidat’s infrastructure, which includes a multi-tenant AWS core, edge deployments in customer VPCs, on-premises environments, and integrations with legacy enterprise systems. The role supports a team of 7 engineers and will help scale the platform for future growth. Solutions must ensure that digital and environmental product data remain accessible for the lifetime of the buildings they support. What You Will Do in the First 6 Months Audit and improve the AWS multi-tenant architecture, CI/CD pipelines, observability stack, and deployment processes to meet production standards. Build a reliable operational backbone: deliver production infrastructure for digital product data, implement incident management, on-call, and automated remediation practices, and set up status pages, alert pipelines, and runbooks. Design a repeatable, maintainable deployment pattern for customer-hosted VPC and on-prem environments, avoiding one-off solutions. Develop secure, dependable connectivity patterns for integrating with customer legacy ERP, procurement, and compliance systems. Architect a hosting platform for digital product passports with stable URLs, data integrity, and a resilient operational model to ensure long-term sustainability.

Join Avelios Medical as a DevOps Engineering Lead and play a pivotal role in shaping our technological vision. We are looking for an innovative leader to guide our DevOps initiatives, ensuring seamless integration and delivery of our medical solutions.In this role, you will collaborate with cross-functional teams, optimize our cloud infrastructure, and lead a talented team of engineers. Your expertise will help us enhance our operational efficiency and drive our mission to revolutionize healthcare technology.

Join our dynamic team at Roland Berger as a Cloud DevOps Engineer specializing in Azure technologies. In this role, you will collaborate with cross-functional teams to design, implement, and manage cloud infrastructure solutions that enhance our clients' operations.You will leverage your technical expertise to automate processes, optimize performance, and ensure the reliability of our cloud environments. If you are passionate about cloud technologies and are eager to make a tangible impact in a fast-paced environment, we want to hear from you!

Location: Munich, Germany About Celonis Celonis leads in Process Intelligence and pioneered Process Mining technology. As a rapidly growing enterprise SaaS company, Celonis invests heavily in advanced AI, including the Process Intelligence Graph, to turn data insights into real business actions. The company’s mission is to embed intelligence into every business process, aiming to boost productivity and sustainability for organizations worldwide. Product Team Overview The Product team at Celonis focuses on transforming process intelligence using advanced technologies. This cross-functional group converts event data into actionable insights and values collaboration, challenging norms, and pursuing product excellence. Role Overview: Manager of Product Management – Data Pipeline & Integration This role leads the Data Pipeline and Integration strategy for the Celonis Process Intelligence Graph. The Manager ensures the platform can ingest and process data from any system, at any speed. This position is part of the Data Platform team and involves guiding the vision for connecting to complex enterprise environments, moving from batch extraction to real-time, push-based data ingestion. The Manager will lead a high-performing team and play a key part in expanding the engineering hub in India. Key Responsibilities Expand Data Connectivity: Ensure Celonis can access business data from any format or source, reinforcing the platform’s connectivity leadership. Scale the India Hub: Lead and mentor product teams in India, shape the roadmap for out-of-the-box Extractors, and speed up delivery of native connectivity. Optimize ETL Reliability: Own the reliability of ETL workloads, focusing on resource utilization and system performance for major global customers. Deliver Platform Primitives: Drive development of foundational elements to advance Celonis’ data integration goals.

About NavVis NavVis GmbH creates technology that connects the physical and digital worlds. Our products help people and businesses visualize, understand, and improve real spaces. We aim to give users the tools they need to shape a better future, blending physical and digital experiences to support productivity and creativity. Role Overview: DevOps Engineer (f/m/d) The Cloud Infrastructure team at NavVis is looking for a DevOps Engineer in Munich (hybrid work setup). This role centers on building and refining our delivery platform, which relies on AWS and Kubernetes. The position is hands-on and involves working closely with other engineers to modernize and streamline our software delivery. What You Will Do Take full responsibility for the CI/CD ecosystem, ensuring smooth and reliable deployments. Champion GitOps practices across the engineering organization. Work directly with engineering teams to improve and update delivery processes. Lead the migration from TeamCity to GitHub Actions, guiding the transition and supporting teams throughout the process. Develop self-service solutions to reduce bottlenecks and increase productivity for engineers. Location This position is based in Munich with a hybrid work arrangement at NavVis GmbH.

Machine Learning Reply in Munich is looking for DevOps/ML Engineers (m/f/d) to join projects focused on machine learning and data processing. The team supports clients from a range of industries and values candidates with a solid technical background. Both experienced engineers and those early in their DevOps or ML careers are encouraged to apply. Key responsibilities Design technical solutions for data-driven applications, with a focus on machine learning and AI systems. Deploy and manage these solutions on cloud platforms such as AWS, Azure, and GCP, as well as on-premises environments. Automate operational workflows using DevOps and MLOps practices to accelerate project delivery. Set up and maintain monitoring, failover, and recovery processes to ensure reliability and regulatory compliance for ML solutions. Work closely with clients and stakeholders to translate business needs into production-ready systems. Collaborate with enterprise architects, analysts, data scientists, and data engineers to develop data warehouses, data lakes, and data platforms. What to expect Project assignments across sectors including Banking, Insurance, Automotive, and Retail. Skill development through interdisciplinary teamwork and training in data engineering, cloud architecture, and data science. Collaboration with leading partners in cloud computing, business intelligence, and AutoML. A social program featuring training sessions, conferences, team-building events, community practices, and hackathons. Flat hierarchies and a strong knowledge-sharing culture within Reply. An award-winning office in central Munich, near the “Stammstrecke”. Location This position is based in Munich, Bayern, Germany.

ABOUT USAt Avelios, we are dedicated to creating the premier software platform that facilitates data-driven digital transformation in hospitals and enhances patient care. Our innovative modular software platform streamlines and digitizes workflows in healthcare settings, utilizing state-of-the-art technology that is both effective and user-friendly. With our solutions, healthcare professionals can deliver exceptional care to their patients. As we experience rapid growth, we are eager to expand our team and our impact on the healthcare industry. We value diversity and believe that it is one of our greatest strengths.THE TEAM AND ROLEWe are seeking a Working Student DevOps Engineer (all genders) to become part of our infrastructure team. In this role, you will assist in deploying and managing our software in cloud and clinical environments. You will collaborate closely with our developers and product teams to ensure our systems maintain scalability, security, and reliability. Your contribution will be crucial in revolutionizing healthcare delivery through seamless and dependable technology.YOUR RESPONSIBILITIESWork hand-in-hand with our core development team to implement new features and services.Assist in designing, testing, deploying, and maintaining the infrastructure that supports Avelios in hospitals and in the cloud.Help operate and enhance large-scale deployments that require high availability and performance.Adopt best practices in observability, incident response, and fault tolerance.Ensure that our systems are secure, reliable, and scalable in clinical settings.YOUR QUALIFICATIONSCurrently enrolled in a degree program in Informatics, Computer Science, or a related discipline.Initial experience with Docker, Kubernetes, CI/CD pipelines, and Linux environments.Familiarity with monitoring, alerting, and logging best practices.Basic experience with modern toolchains and infrastructure-as-code (e.g., Terraform, Ansible) is advantageous.A strong desire to learn new technologies and thrive in a fast-paced, impactful environment.A solution-oriented mindset paired with a pragmatic, hands-on approach to work.Fluency in English; proficiency in German is a plus but not mandatory.

At Mistral AI, we harness the transformative power of artificial intelligence to streamline workflows, enhance productivity, and foster creativity. Our cutting-edge solutions are designed to seamlessly integrate into everyday operations, empowering users across various sectors. We are committed to democratizing AI through high-performance, open-source models and solutions tailored for enterprises, whether on-premises or in the cloud. Our flagship product, le Chat, serves as an intelligent assistant for both personal and professional use. We pride ourselves on our vibrant and collaborative culture, where a diverse team of innovators is united in their passion for AI's potential to revolutionize society. Our workforce spans multiple countries, including France, the USA, the UK, Germany, and Singapore, fostering creativity and teamwork in a competitive landscape. Join us at Mistral, where we are shaping the future of AI and making a meaningful impact together. Learn more about our culture at [Mistral Careers](https://mistral.ai/careers). As an AI Deployment Strategist, you will lead the charge in promoting and implementing Mistral's AI solutions, collaborating closely with clients to transition from strategic vision to practical execution. This pivotal role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring that our customers achieve significant and transformative results. You will engage with senior leaders to formulate AI roadmaps, partner with our Applied AI team to implement production solutions, and facilitate smooth transitions from presales to postsales. Your contributions will be crucial in driving customer success, effectively bridging the gap between strategy and execution. This position is perfect for individuals who excel in fast-paced environments, relish solving complex business challenges, and are enthusiastic about leveraging AI to create tangible impact.

Join Us in Advancing Europe's Hypersonic Capability At Hypersonica, we are at the forefront of transforming European defense technology. Our mission is to provide unparalleled speed, resilience, and technological independence, setting a new benchmark in the industry. As a part of our elite, agile team, you will tackle significant challenges and deliver solutions swiftly. In the role of Mechanical Design Engineer, you will not be confined to a traditional role. You will thrive in a talent-rich environment where every member contributes to the company's trajectory. We believe in recruiting a select group of extraordinary individuals who possess extensive technical expertise, sound judgement, and the ability to work independently. We prioritize talent over conventional qualifications. This position addresses a crucial business need, but its evolution will be guided by your unique skills and experiences. If you have accomplished what others deemed impossible or possess an exceptional skill set that defies traditional norms, we encourage you to apply. Your contributions here will play a vital role in enhancing Europe’s technological autonomy.