We are seeking a highly skilled Site Reliability Engineer/Architect (SRE) to join our innovative and fast-paced team. In this role, you will be responsible for designing and implementing modern SRE practices to enhance the reliability and scalability of our enterprise-grade Generative AI (GenAI) integration platform. You will play a vital role in driving operational excellence by adopting advanced methodologies and tools while collaborating with key stakeholders across technical and business units. Responsibilities Define Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to establish reliability standards and monitor system health Architect resilient production systems using methodologies like canary deployments, shadow traffic, and testing-in-production Develop incident management strategies and automate on-call operations to minimize downtime and improve system stability Enhance observability frameworks with logging, tracing, and monitoring for real-time visibility and proactive troubleshooting Automate tasks related to scalability, performance optimization, and operational processes for improved efficiency Collaborate with engineering teams to integrate SRE principles into system design and development Provide strategic leadership for implementing site reliability solutions in multi-cloud, multi-tenant environments for enterprise applications Advise executive stakeholders with insights and recommendations to align SRE strategies with organizational goals Promote a culture of innovation and operational reliability through mentoring and industry-leading best practices Ensure the platform's infrastructure supports high availability and scalability in partnership with architecture and DevOps teams Drive continuous improvement by identifying opportunities for process innovation and optimization Requirements 10+ years of professional experience in SRE, DevOps, or related areas, including managing production systems Expertise in SRE practices such as SLOs, SLIs, canary testing, and incident management Proficiency with cloud technologies like AWS, Google Cloud Platform, or Azure, with hands-on experience in multi-cloud setups Background in observability tools such as Prometheus, Grafana, or ELK Stack, as well as monitoring distributed systems Skills in automation platforms such as Terraform, Ansible, or Kubernetes, enabling infrastructure-as-code adoption Familiarity with programming languages like Python, Go, or Bash for building automation solutions Strong understanding of CI/CD pipelines, containerization technologies, and orchestration frameworks Competency in system architecture for fault tolerance, redundancy, and performance optimization History of collaborating effectively with diverse stakeholders, from technical teams to executive management Background in managing enterprise-scale systems and multi-tenant platform deployments Nice to have Knowledge of Generative AI platforms and integration techniques Understanding of managed database services, including Amazon RDS, Google Spanner, or Azure SQL Familiarity with security practices for enterprise platforms and multi-cloud infrastructures Background in contributing to technical roadmaps for distributed systems at scale Capability to lead initiatives involving Chaos Engineering or disaster recovery strategies We offer/Benefits - International projects with top brands - Work with global teams of highly skilled, diverse peers - Healthcare benefits - Employee financial programs - Paid time off and sick leave - Upskilling, reskilling and certification courses - Unlimited access to the LinkedIn Learning library and 22,000+ courses - Global career opportunities - Volunteer and community involvement opportunities - EPAM Employee Groups - Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn