ApplySarthi

Site Reliability Engineer / SRE (all genders)

Lio

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This role on the market

927 open reliability roles across 175 companies are on ApplySarthi right now, most of them in Bengaluru (40), Delhi NCR (13), Hyderabad (11).

What reliability roles keep asking for: Python (35%), Kubernetes (34%), Observability (32%), AWS (25%), Terraform (22%), Linux (21%), System design (19%), CI/CD (16%) — counted across their open postings here.

Site Reliability Engineer jobs in Germany · Remote Site Reliability Engineer jobs · CI/CD jobs · MongoDB jobs · Observability jobs · Python jobs

Lio has 2 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for reliability roles keep coming back to Python, Kubernetes, Observability, AWS. Practise those questions before you sit with Lio.

Questions you are likely to be asked

  1. Why do you want to join Lio?
  2. What is your experience with Observability? Tell me one thing you learned the hard way.
  3. Tell me about an outage you handled. What did you learn from it?
  4. How do you decide what to monitor, and what should wake someone up at night?
  5. How would you cut the cloud bill of a system without hurting it?

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Practise the Site Reliability Engineer / SRE (all genders) at Lio interview free →

Build and scale the infrastructure behind enterprise AI. At Lio, we're building the AI workforce for procurement. As a Site Reliability Engineer , you'll work directly with our CTO to build the infrastructure that powers one of Europe's fastest-growing enterprise AI startups. From scaling our platform across regions to optimizing databases for agentic AI, you'll help shape the foundation that enables Lio to serve global enterprise customers with exceptional performance and reliability. What you'll do Work directly with our CTO on the architecture and scaling of Lio's infrastructure Design and operate highly reliable cloud infrastructure for production AI workloads Scale our platform globally with multi-region deployments and high-availability architectures Optimize databases for agentic AI workloads, including Vector Search, Hybrid RAG, MCP , and high-performance query execution Improve backend performance, latency, throughput, and resource efficiency Build observability, SLOs, alerting, and incident response processes Automate deployments, infrastructure, and developer workflows Partner closely with product engineering teams to build systems that scale with rapid growth What we're looking for Experience operating production workloads on a major cloud platform Strong Python skills and experience optimizing backend services Solid understanding of distributed systems, asynchronous processing, and scalable architectures Experience with monitoring, observability, and incident management Experience optimizing databases at scale (MongoDB is a plus) Familiarity with CI/CD pipelines (GitHub Actions preferred) Passion for automation, infrastructure, and solving complex scaling challenges Why Lio? Work directly with our CTO on company-defining infrastructure decisions. Build the foundation for one of Europe's fastest-growing enterprise AI companies. Solve challenging problems around global scaling, reliability, and agentic AI infrastructure. Competitive compensation, meaningful equity, and exceptional teammates. 100% on-site in our Munich office, where we build together every day Any questions about the role? Feel free to reach out to Cansel . Find more English Speaking Jobs in Germany on Arbeitnow

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Listed on arbeitnow · posted 2026-09-27. ApplySarthi collects openings and links to application pages; the role is advertised by Lio, not by us.