Description :

Senior Platform Engineer Bengaluru (610 Years)

Role Overview :

You will design, build, and scale core platform systems that empower engineers to develop, deploy, and operate services efficiently. This role emphasizes Python-based automation, cloud-native infrastructure, and Kubernetes reliability engineering.

Key Responsibilities :

Reliability & Operations :

- Design, build, and maintain scalable platform services and developer tooling using Python.

- Develop automation frameworks, orchestration systems, and backend infrastructure services.

- Improve platform reliability, observability, deployment automation, and operational excellence.

- Implement best practices around security, monitoring, testing, and production operations.

- Lead incident response, RCA, and postmortems; drive reliability improvements through automation.

- Contribute to architectural decisions for distributed systems and cloud-native applications.

- Mentor engineers and promote engineering excellence across the organization.

Cloud & Platform Engineering :

- Build and manage infrastructure on AWS.

- Operate Kubernetes clusters (EKS preferred).

- Deploy services using Helm, ArgoCD, Argo Rollout.

- Manage containerized workloads using Docker / containerd.

- Implement Infrastructure-as-Code (Terraform).

- Automate with Python, Ansible, Packer.

- Integrate CI/CD pipelines with GitHub Actions / Jenkins / ArgoCD.

- Build observability solutions with Prometheus, Grafana, Datadog, Splunk.

Automation & Tooling :

- Develop Python-based automation and reliability tooling.

- Create internal monitoring and operational tools.

- Integrate CI/CD pipelines with observability and reliability checks.

Collaboration & Leadership :

- Mentor junior engineers and influence architecture decisions.

- Collaborate across engineering, product, and security teams.

Required Qualifications :

- 610 years of experience in SRE, DevOps, or Platform Engineering.

- Strong Python programming skills for production-grade automation.

- Hands-on Kubernetes experience (EKS preferred).

- Solid understanding of observability fundamentals.

- Experience with Helm, ArgoCD, Argo Rollout, Docker, Ansible, Packer.

- Strong AWS cloud experience.

- Solid Linux and networking fundamentals.

- Familiarity with SDLC and modern DevOps practices.

Preferred Qualifications :

- Toolchain development using Python.

- Multi-cluster or multi-region Kubernetes experience.

- Service mesh (Istio) and API gateway (Kong) exposure.

- Cloud cost optimization expertise.

- Advanced Infrastructure-as-Code with Terraform.

Project Focus :

- Build internal platform tools and APIs using Python.

- Automate infrastructure provisioning, deployments, and operational workflows.

- Design scalable backend services and platform components.

- Improve CI/CD pipelines, deployment reliability, and developer experience.

- Manage and optimize Kubernetes and AWS infrastructure.

- Build observability solutions (monitoring, logging, alerting, tracing).
- Reduce operational toil through automation and self-service platforms.
- Partner with engineering and security teams to drive scalability and reliability.