Senior Engineer, Infrastructure

Team: IT

Location: Germany

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Design, build, and operate reliable infrastructure platforms supporting AI-powered products and large-scale production workloads.
• Own and improve Kubernetes environments, including cluster architecture, networking, ingress, service communication, workload isolation, autoscaling, and deployment practices.
• Develop and maintain cloud infrastructure across areas such as networking, security, identity management, secrets, firewalls, content delivery, and access controls.
• Improve system reliability through enhanced observability, monitoring, alerting, incident response processes, disaster recovery planning, and resilience improvements.
• Build and optimize infrastructure automation using infrastructure-as-code, CI/CD pipelines, GitOps workflows, and reusable platform tooling.
• Investigate and resolve complex production issues across application, infrastructure, networking, and data system layers.
• Improve infrastructure efficiency through cost optimization, capacity planning, resource management, and operational improvements.
• Support scalable data systems and distributed technologies, ensuring strong performance and reliability.
• Identify architectural bottlenecks and proactively develop solutions that prepare the platform for future growth and increasing AI workloads.
• Reduce operational complexity by replacing manual processes with automated, scalable engineering solutions.

Requirements

• Strong software engineering background with experience writing and maintaining production-quality code.
• Proven experience designing, building, and operating infrastructure on major cloud platforms such as GCP, AWS, or similar environments.
• Hands-on production experience with Kubernetes and containerized infrastructure.
• Strong understanding of cloud networking and security concepts, including VPCs, IAM, load balancing, DNS, firewalls, WAFs, CDNs, and service identity.
• Experience with infrastructure-as-code tools and automated deployment systems.
• Ability to debug and solve complex issues across software applications, infrastructure components, networking layers, and distributed systems.
• Experience operating large-scale distributed technologies such as OpenSearch, Elasticsearch, PostgreSQL, or similar systems.
• Strong focus on reliability, security, developer experience, and infrastructure cost efficiency.
• Proactive mindset with the ability to identify improvements, eliminate operational complexity, and take ownership of critical systems.
• Strong engineering fundamentals, problem-solving skills, and the ability to quickly learn unfamiliar technologies.
• Experience deploying or operating large language models with serving frameworks such as vLLM or SGLang is considered an advantage.

Benefits

• Fully remote position with the flexibility to work from Europe.
• Opportunity to shape infrastructure foundations for next-generation AI-powered products.
• High level of ownership and direct impact on technical strategy and product development.
• Competitive equity package aligned with company growth and individual contribution.
• Opportunity to work alongside highly experienced AI and software engineering professionals.
• Flexible work environment focused on autonomy, trust, and results.
• Ability to contribute to meaningful projects with visible impact on users and the broader product direction.
• Culture that values engineering excellence, individual contributors, innovation, and continuous learning.
• Inclusive workplace committed to diversity and equal opportunities.