Senior Engineer, SRE

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer, SRE based in Germany.

This role offers the opportunity to build and operate the infrastructure powering advanced AI-driven products and services.

As a Senior Engineer, SRE, you will help design reliable, secure, and scalable systems that enable engineering teams to deliver with confidence.

You will work across cloud infrastructure, Kubernetes, networking, automation, and production reliability while solving complex technical challenges.

The position combines software engineering, infrastructure design, and operational excellence rather than traditional IT operations.

You will have significant ownership in shaping platform architecture, improving developer experience, and preparing systems for rapid growth.

This is an ideal opportunity for an experienced engineer who enjoys autonomy, solving ambiguous problems, and building resilient technology platforms.

Accountabilities

• Design, build, and operate reliable infrastructure that supports AI-powered products and high-scale workloads.
• Own and improve Kubernetes environments, including cluster reliability, networking, workload isolation, autoscaling, and deployment patterns.
• Develop and maintain cloud infrastructure across areas such as networking, security, identity management, and platform automation.
• Improve production reliability through observability, monitoring, alerting, incident response, and disaster recovery practices.
• Build automation and infrastructure-as-code solutions to reduce operational complexity and eliminate repetitive manual processes.
• Improve CI/CD workflows, Git Ops practices, progressive delivery, and deployment safety mechanisms.
• Optimize infrastructure costs through better resource management, capacity planning, and performance improvements.
• Operate and enhance distributed data systems such as search and database platforms.
• Investigate and resolve complex production issues across application, infrastructure, networking, and data layers.
• Identify architectural improvements and help evolve systems to support increasing usage, larger customers, and new AI workloads.
• Take ownership of critical technical challenges and collaborate across engineering teams to deliver impactful solutions.

Requirements

• Strong software engineering skills 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.
• Hands-on experience managing Kubernetes environments in production.
• Strong understanding of cloud networking and security concepts, including VPCs, IAM, load balancing, firewalls, WAFs, CDNs, DNS, and service identity.
• Experience with infrastructure-as-code tools and automated deployment systems.
• Ability to debug complex issues across applications, infrastructure, networking, and distributed systems.
• Experience operating large-scale systems such as Open Search, Elasticsearch, Postgre SQL, or similar technologies.
• Strong understanding of reliability engineering principles, security practices, and cost optimization.
• Interest in improving developer experience and reducing operational complexity through automation.
• Ability to work independently, take ownership of important problems, and operate effectively in a fast-moving environment.
• Experience with AI infrastructure, large language model deployment, or serving frameworks such as v LLM or SGLang is a plus.
• Strong engineering fundamentals, adaptability, and willingness to learn unfamiliar technologies quickly.

Benefits

• Fully remote working environment with the flexibility to work from wherever you are most productive.
• Opportunity to work on innovative AI technology shaping the future of software creation.
• High level of ownership and direct impact on products, infrastructure, and company growth.
• Culture focused on engineering excellence, autonomy, and individual contribution.
• Opportunity to collaborate with a highly skilled global team of AI and software engineers.
• Equity plan designed to align employee success with company growth.
• Flexible and inclusive workplace that values diversity and different perspectives.
• Chance to solve challenging technical problems with meaningful real-world impact.

How Jobgether works

We use an

AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer.

This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.