Platform Engineer - Python Development

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.