Senior Site Reliability Engineer

EPAM Systems; Warszawa; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Hybrid work model

Relocation opportunities

Work abroad opportunities

Health insurance

Employee stock purchase plan

Job summary

EPAM Systems seeks a Senior Site Reliability Engineer to own reliability and observability for production AI systems in a hybrid model. You will own deployment end-to-end on Azure, implement infrastructure as code, and ensure environments are rebuildable from source.

You will build LLM-aware observability with traces on model calls, cost and latency dashboards, and define SLOs. You will manage on-call rotations, incident responses, and security postures across the lifecycle.

Qualifications

• 5+ years operating cloud production systems.
• Experience in Azure IaaS/PaaS operations.
• Proficiency in observability stacks with LLM tracing and Python/Bash automation.
• Knowledge of FinOps basics for AI workloads.
• Familiarity with incident triage, runbook drafting and automation.

Responsibilities

• Own deployment end-to-end on Azure with IaC, CI/CD, and environment management.
• Build LLM-aware observability with traces, eval sampling, drift detection, and dashboards.
• Define and defend SLOs for availability, latency and quality.
• Run incident management with on-call models and blameless postmortems.
• Monitor token economics, budgets, and capacity for AI workloads; ensure security posture.

Skills

Cloud operations

SLOs and on-call

Python scripting

FinOps for AI

Incident management

Observability

Automation

Cost optimization

Tools

Azure

Terraform

Bicep

CI/CD tooling

Kubernetes

Job description

We are seeking a Senior Site Reliability Engineer to own the reliability, observability, and operational health of production AI systems, bridging the gap between deployment and long-term operability while embedding cost, security, and quality discipline into every solution's lifecycle.

Responsibilities

• Own deployment end-to-end, including infrastructure as code, CI/CD pipelines, and environment management on Azure, ensuring every environment is rebuildable from source
• Build LLM-aware observability with traces on every model call, production quality signals such as eval sampling, drift detection, and guardrail-trigger rates, plus cost and latency dashboards
• Define and defend SLOs covering availability, latency, and quality objectives per solution, balancing delivery speed against stability with data-driven error budgets
• Run incident management, including on-call models, runbooks written before incidents occur, and blameless postmortems afterward
• Manage the cost of intelligence by monitoring token economics per solution, wiring in budgets and alerts, and conducting capacity planning proactively
• Keep the security posture current through patching, secret rotation, access reviews, and audit readiness across the solution’s entire lifecycle
• Shape operability requirements before handover, ensuring they land in the pod’s definition of done, and run hypercare jointly with sign-off on what will be operated
• Feed operational patterns, failure modes, and cost learnings back to the pods and the Architect

Requirements

• 5+ years of experience operating cloud production systems, with a track record in scaling, defining SLOs, managing on-call rotations, and automating manual work away
• Expertise in Azure IaaS/PaaS operations, infrastructure as code (Terraform/Bicep), and CI/CD tooling
• Proficiency in observability stacks with LLM tracing, container orchestration, and Python/Bash automation
• Knowledge of FinOps basics for AI workloads
• Familiarity with daily AI use in operations work, including incident triage, runbook drafting, log analysis, and automation code

We offer

• We gather like-minded people:
  • Top tech minds driving innovation in AI, cloud and digital platform modernization
  • Supportive team and agile, startup-like culture
  • Hybrid by design mode and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities
• We provide growth opportunities:
  • Career development programs
  • Thought leadership, mentoring, soft skills and well‑being programs
  • Certification (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes
• We cover it all:
  • Stable pay
  • Participation in the Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000
  • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
  • Corporate, social and well‑being events
• Please, note:
  • Benefits listed above are available to employees only
  • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
  • We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI‑Native enterprises, driving measurable value from innovation and digital investments.