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Mid-level SRE role, metro hiring, and common skills (AWS/Kubernetes/Datadog) drive high competition.
Core SRE, cloud, Kubernetes and observability skills are broadly transferable across industries.
Explicit 6–9 years plus mandatory AWS, Kubernetes, Datadog and security skills make shortlisting highly strict.
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Design and operate observability platforms including monitoring, logging, alerting using Datadog, managing SLOs, error budgets, and incident management.
Manage AWS infrastructure (EKS, ECS, EC2, networking, IAM) and operate Kubernetes containerized platforms ensuring system reliability and cloud security.
Monitor and optimize costs related to ML models and API-based AI services, collaborate with security teams on incident management and mitigation.
6-9 years of hands-on experience in SRE, Platform Engineering, Infrastructure or related roles.
Strong hands-on experience with AWS services, especially EKS, ECS, EC2, networking, IAM, and managed services.
Deep expertise in Kubernetes and containerized platforms, and designing/operating observability platforms with Datadog.
Onsite presence required at client office three times a week.
Experienced in applying SRE principles (SLOs, error budgets, incident management) in complex infrastructure environments.
Skilled in cloud security engineering, including managing security incidents and collaborating with security teams.
Knowledgeable in FinOps practices for cost control of ML and AI services and comfortable with operational trade-offs balancing reliability, security, and cost.