Sr. Platform Engineer (Python) - (CREQ257993)

Description

Mandatory Skills

Python, Terraform, Kubernetes, Ci/Cd, Site Reliability Engineering, AWS

Required Qualifications

  • -6+ years of relevant experience in SRE, DevOps, or Platform Engineering

  • Strong Python skills with experience building production-grade automation and tooling

  • Strong programming experience in Python

  • - Production experience with Kubernetes

  • - Strong observability fundamentals

  • - Experience with Helm, ArgoCD, Argo Rollout and Docker, Ansible, Packer

  • - Experience with AWS cloud

  • - Strong Linux and networking fundamentals

  • - Familiarity with the SDLC

Reliability & Operations

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

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

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

  • - Drive infrastructure-as-code and cloud automation initiatives

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

  • - Design, implement, and maintain highly available and resilient systems in Kubernetes-based environments

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

  • - Mentor engineers and promote engineering excellence across the organization

  • - Lead incident response, RCA, and postmortems

  • - Drive reliability improvements through automation

Cloud & Platform Engineering

  • - Build and manage infrastructure on AWS.

  • - Operate Kubernetes clusters (EKS preferred)

  • - Deploy services using Helm, ArgoCD and Argo rollout

  • - Manage containerized workloads using Docker and containerd

  • - Terraform

  • - Python Programming

  • - Ansible

  • - Packer

  • - GitHub Actions / Jenkins / ArgoCD

  • - Prometheus / Grafana / Datadog/ Splunk

Automation & Tooling
- Strong Python skills with emphasis on reliability, automation, and observability tooling

  • - Develop automation and tooling using Python

  • - Create internal reliability and monitoring tools

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

Collaboration & Leadership

  • - Mentor junior engineers

  • - Influence architecture decisions

  • - Collaborate across engineering teams

Preferred Qualifications

  • - Experience with tool chain development using Python

  • - AWS Experience

  • - Ansible, Packer

  • - Multi-cluster or multi-region Kubernetes experience

  • - Experience with Kubernetes package manager (helm) and deployment (ArgoCD / Argo Rollout)

  • - Service mesh (Istio) and API gateway (Kong) experience

  • - Infrastructure-as-Code (Terraform preferred)

  • - Cloud cost optimization experience

Primary Location

: IN-KA-Bangalore

Schedule

: Full Time

Employee Status

: Individual Contributor

Job Type

: Experienced

Travel

: No

Job Posting

: 22/05/2026, 7:32:44 AM
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