L2 Operations Engineer

TL;DR

L2 Operations Engineer (Multi-Cloud SRE): Investigating and resolving P2–P4 incidents across AWS, Azure, GCP, and on-premise environments with an accent on root-cause analysis, blameless PIRs, and AI-assisted troubleshooting. Focus on implementing fixes, collaborating with L3/SRE teams, improving runbooks, and supporting SRE practices like SLO tracking and toil reduction.

Location: Work from the European Union region and a work permit are required. Providing CET-timezone coverage as part of the European nearshore delivery model.

Company

Global tech company with 1,000+ experts in Poland & Eastern Europe, delivering cloud, data, AI, and software solutions for clients like McLaren, Spotify, ING, and UPS.

What you will do

• Investigate and resolve P2–P4 incidents across multi-cloud and on-premise infrastructure.
• Perform root-cause analysis and contribute to blameless Post-Incident Reviews (PIRs).
• Implement workarounds and permanent fixes for recurring issues.
• Collaborate with L3 and SRE teams on complex investigations and RCA backlog.
• Work with AI agents for dependency analysis and change risk validation.
• Update SOPs and runbooks based on incident learnings.
• Support SRE practices adoption, including error budgets and toil reduction.
• Mentor L1 engineers and facilitate knowledge transfer.

Requirements

• 3–5 years in L2/L3 production support or infrastructure operations
• Practical experience with AI-powered assistants (e.g., Claude Code, GitHub Copilot) for productivity
• Strong troubleshooting in Linux, Windows, networking, and cloud platforms
• Experience with at least one major cloud provider (AWS, Azure, or GCP)
• Proficiency in monitoring tools (Datadog, Splunk, AppDynamics)
• Experience with ITSM tools like ServiceNow and incident workflows
• Understanding of SRE principles (SLIs, SLOs, error budgets, toil reduction)
• Scripting in Bash, Python, or PowerShell
• Strong English communication skills (at least B2 level)

Nice to have

• Experience with Kubernetes or Docker
• Structured GenAI use in SDLC (workflows, prompt patterns, tool integrations)
• Familiarity with emerging AI practices (agent-based workflows, automation)
• IaC tools like Terraform or Ansible
• ITIL Foundation or SRE certifications
• Experience in managed services or multi-tenant environments

Culture & Benefits

• Support for tech communities, meetups (Software Talks, Data Tech Talks)
• Growth via Guilds, Labs, and personal development budgets for tech/soft skills
• Modern open-source stacks; partners of Databricks, dbt, Snowflake, Azure, GCP, AWS
• Trusted by top clients across fintech, e-commerce, aviation, logistics, media
• Emphasis on smart tech, ownership, and continuous growth

Hiring process

• CV review
• HR call
• Technical Interview
• Client Interview
• Decision