Requirements:
6+ years of hands-on technical experience in SRE, Platform Engineering, Infrastructure, or related roles
Strong experience with AWS, including services such as EKS, ECS, EC2, networking, IAM, and managed services
Deep hands-on experience with Kubernetes and containerized platforms
Proven experience designing and operating observability platforms, including monitoring, logging, and alerting
Hands-on experience with Datadog for metrics, logs, APM, and alerting
Solid understanding of SRE principles, including SLOs, error budgets, incident management, and reliability engineering
Solid understanding of cloud security principles and experience collaborating with security teams
Extensive hands-on experience in cloud security engineering, applying best practices to ensure system reliability, managing security incidents, and driving mitigation and remediation measures.
Experience or working knowledge of FinOps practices, including monitoring, optimizing, and controlling costs associated with ML models and API-based AI services.

Positive to have Skills




Experience supporting multi-cloud or hybrid environments
Exposure to Infrastructure as Code (e.g., Terraform, CloudFormation)
Experience in large-scale, complex, or regulated environments
Knowledge of vector databases and RAG architecture for building internal SRE knowledge assistants.
Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)

Person Specification
Should be open to WFO (client office) thrice a week
Strong technical authority with the ability to influence design and operational decisions
Highly collaborative, comfortable working across architecture, engineering, security, and operations teams
Calm and methodical under pressure, especially during incidents and critical issues
Pragmatic problem-solver who balances reliability, security, cost, and delivery speed
Explicit communicator, able to explain complex technical concepts to diverse audiences

📌 Site Reliability Engineer Bengaluru
🏢 EPAM Systems
📍 Bengaluru