Job Description :

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

- Strong 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.

Good 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

- Clear communicator, able to explain complex technical concepts to diverse audiences