Sr. Software Engineer

The Sr. Software Developer - DevOps (India) is the senior technical anchor of the India DevOps engineering team. This role carries the full scope of the Software Developer - DevOps (JD5) - CI/CD, platform tooling, automation, and AI agent development across the PMT portfolio - with additional responsibility for technical mentorship, shift leadership, and setting the DevOps engineering standard for the India team.

This engineer is the India-side counterpart to the US DevOps engineers (JD11). Where the standard-tier DevOps engineers execute the platform build, the Sr. engineer shapes it, making the critical architecture calls on the India side, reviewing peers' work, owning the hardest platform incidents, and partnering most closely with the Domain Architect and US engineers on cross-cutting decisions.

Responsibilities:

• Serve as the senior technical authority and escalation point for complex platform and DevOps incidents during the IST shift.
• Mentor and develop the India DevOps engineers through code review, pairing, and design feedback.
• Drive platform quality standards: set patterns, identify gaps, and ensure the India DevOps team's output meets the same bar as the US team.
• Lead the India DevOps team's AI agent roadmap, identify the highest-value workflow automation opportunities, prototype agents, and establish the patterns the team follows.
• Partner with the Domain Architect on tooling selection and platform architecture decisions affecting the India team.
• Contribute to hiring and participate in technical interviews for India DevOps and SRE candidates.
• Represent the India DevOps perspective in cross-team architecture and design reviews with US partners.

Requirements:

• 6-9 years of software engineering experience with deep DevOps / platform engineering expertise.
• Production experience owning CI/CD platforms, deployment automation, and infrastructure-as-code at scale.
• Demonstrated technical leadership: you have led platform engineering work, driven architectural decisions, and influenced engineering practices across a team.
• Strong cloud infrastructure depth (AWS, GCP, or Azure); IAM, networking, observability, and cost governance.
• Track record of measurable toil reduction through automation, AI agents, and platform tooling investment.
• Excellent written communication; comfortable authoring architecture decision records, technical standards, and cross-team design docs.
• Hands-on experience using AI tools (Claude, GitHub Copilot, or equivalent) to build, operate, and improve engineering workflowsand the ability to lead others in doing the same.

Required Technical Skills:

• AI and agent tooling: Proficient in AI coding/automation assistants (Claude, Copilot, or equivalent). Able to design, build, and deploy AI agents as first-class platform components; set team standards for agent architecture and quality; and lead AI tooling adoption across the India DevOps team. Expected to be the India team's AI engineering anchor.
• Deep application development proficiency in TypeScript/Node.js and Java; strong command of NestJS for backend service design. Able to architect, build, and lead code review across application and platform layersnot just infrastructure.
• Cloud platform depth: AWS required, Azure a plus. Expert-level command of core servicescompute, IAM, networking, serverless, managed databases, and cost governance. Familiar with AWS-native DevOps tooling and multi-account architecture patterns.
• CI/CD pipeline ownership at scale (GitHub Actions, Jenkins, GitLab CI, or similar).
• Infrastructure-as-code depth: Terraform required; Pulumi or AWS CDK a plus.
• Containerization and orchestration: Kubernetes (CKA preferred) and Docker.
• Observability and instrumentation leadership: Splunk and Grafana for operational visibility; OpenTelemetry for application-level instrumentation; able to own end-to-end observability strategy and set the standard for the India team.
• Code management leadership: Git branching strategy ownership, PR review standards, release management, and code quality gate design. Sets the bar for the India DevOps team's engineering practices.
• Scripting proficiency in Python, Bash, and/or PowerShell for production automation.
• Secrets management (Vault, AWS Secrets Manager, or similar).

Preferred Skills:

• Prior experience building internal developer platforms or paved-path tooling at scale.
• Experience leading a DevOps or platform engineering buildout, greenfield program.

Skills

aws, azure, devops, docker, gcp, github actions, jenkins, kubernetes, platform, terraform