Senior Site Reliability Engineer

EPAM Systems; Turkey; On-site; TRY 600,000 - 900,000; Full time

Benefits offered by this job

Private health insurance

Continuous upskilling & development

English courses

Referral bonuses

Job summary

EPAM Systems, Inc. is seeking a Senior Site Reliability Engineer to ensure high reliability, scalability, and efficiency of systems.

You will collaborate with development, security, and operations teams to deploy, maintain, and automate infrastructure and applications, while leading AI-enabled platform capabilities and reducing toil through automation. The role emphasizes defining SLOs/SLIs, managing error budgets, capacity planning, incident management, and using Kubernetes, Docker, and IaC

Qualifications

• 5+ years of hands-on experience in Site Reliability Engineering or related roles.

Responsibilities

• Collaborate with development, security, quality, and operation teams to implement SRE practices and ensure system reliability.
• Define and support required level of reliability, availability, and performance for services and applications.
• Design and deliver Cloud-based solutions tailored to client needs.
• Troubleshoot, mitigate, and support fixing of the infrastructure and application issues in a timely manner.
• Implement a monitoring system for the infrastructure and application reliability.
• Guide adoption of AI technologies on the platform (GenAI, AI agents, AIOps) to improve operations.

Skills

SRE practices

Cloud platforms

Python scripting

Monitoring tools

Tools

Kubernetes

Docker

CI/CD tools

Terraform

Job description

We are seeking a highly skilled and motivated Senior Site Reliability Engineer (SRE) to join our team.In this critical role, you will collaborate closely with software developers and operations teams to ensure high reliability, scalability, and efficiency of our systems, with a strong focus on meeting and exceeding customer expectations. Your expertise will be crucial in deploying, maintaining, and automating our infrastructure and application environments to ensure seamless user experiences.Your proactive involvement will be key to enhancing system reliability, optimizing resource utilization, and ensuring continuous improvement in our operational practices.You will have the opportunity to lead the adoption of AI-enabled platform capabilities, such as generative AI (GenAI), autonomous agents, and AIOps, driving innovation and operational excellence.Your responsibilities will include defining and tracking Service Level Objectives (SLOs), managing error budgets, and reducing toil through automation. You will play a pivotal role in driving the success of technology initiatives, maximizing their impact across the organization, and ensuring that solutions consistently meet the high standards our customers expect.ResponsibilitiesCollaborate with development, security, quality, and operation teams to implement SRE practices and ensure system reliabilityDefine and support required level of reliability, availability, and performance for services and applicationsDesign and deliver Cloud-based solutions tailored to client needsTroubleshoot, mitigate, and support fixing of the infrastructure and application issues in a timely mannerImplement a monitoring system for the infrastructure and application reliabilityGuide adoption of AI technologies on the platform (GenAI, AI agents, AIOps) to improve operationsCommunicate technical concepts clearly to both engineering teams and management stakeholdersRequirementsBachelor’s degree in Computer Science, Engineering, or a related field5+ years of hands-on experience in Site Reliability Engineering or related rolesProven experience in any cloud (AWS/GCP/Azure)Experience with implementing SRE practices such as SLO/SLI, Error budgets, Postmortems, Reducing Toil, capacity planning, and Incident ManagementPython or other scripting/programming languageStrong background in monitoring toolsProficiency in CI/CD tools, infrastructure as code, and configuration managementSolid knowledge of container orchestration technologies (Kubernetes, Docker)English language proficiency at an Upper-Intermediate level (B2) or higherNice to haveCertification in Kubernetes, AWS/GCP/Azure, or similar technologiesProven experience in DevOpsExpertise in deployment and management of LLMs, including technologies like RAGKnowledge of managing and optimizing AI/ML models in production environments, including basic deployment, monitoring, and maintenanceNative AI cloud services: AWS Bedrock, Google Vertex AI, Azure AIExperience in designing, building, and operating AI agents and agentic frameworksCoding Agents: Claude Code, OpenCode, Cursor, Trae, AntigravityWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.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.