Senior Team Lead | Engineering, AI & Data - Engineering | Site Reliability Engineering

Reliability & Operations

Own end-to-end production systems reliability, availability, scalability, cost and performance.

Drive measurable improvements in MTTR, MTTA, and incident response practices using automation and runbook additions and process enhancements.

Participate in 24x7 on-call rotations and handle high-severity incidents and document the learnings on ongoing basis.

Establish and manage SLI, SLO, SLA, Error Budgets, and operational metrics for mission critical services and partner with engineering teams with full accountability for upholding the SLOs.

Partner with the various engineering, operations and cloud management teams to deliver highly reliable service in a timely manner.

Cloud & Infrastructure

Design, deploy, and manage infrastructure on Google Cloud Platform (GCP).

Work extensively on: GKE (Kubernetes Engine), Compute, networking, IAM, Load Balancers, TLS Certs, BigQuery, Pub/Sub, cloud logging enhancement, metrics and logs analysis

Implement and manage infrastructure using Terraform (Infrastructure as Code).

Kubernetes & Containers

• Deploy and manage containerized workloads using Kubernetes (GKE).

• Troubleshoot issues related to: Pods, nodes, networking, storage, services on an ongoing basis

• Manage deployments using Helm, YAML, and rollout strategies (Canary/Blue-Green).

Automation & CI/CD

Build and maintain CI/CD pipelines using: Jenkins (pipeline-based, Groovy / Shell / Python scripting) Strong experience in using GitHub as a PowerUser

Develop automation using Python and Shell scripting.

Reduce operational toil through automation initiatives.

Observability & Monitoring

Implement and manage monitoring systems using: Dynatrace, Grafana, logs and metrics explorer

Work with logs, metrics, and traces for deep observability to identify trends and arrest problems proactively.

Define alerting strategies based on system behaviour and SLOs and create runbooks.

Work alongside operations teams to identify, fix the production incidents and own the problem resolution.

Work with engineering teams to isolate infra and application issues and set up right tooling for debugging production incidents.

System & Application Troubleshooting

Perform deep troubleshooting for: Distributed systems, Microservices-based architectures on containerised workloads, Java and Golang applications

Strong debugging of: Application issues, Infrastructure issues, Network-related problems. Plan and execute continuous improvement

Identify and eliminate repetitive manual tasks.

Drive reliability engineering practices and culture. (DRY – Don’t Repeat Yourself)

Collaborate with development teams to improve system design and resilience.