Staff DevOps Engineer

Sia; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Opportunity to lead AI projects

Collaborative team environment

Equal opportunity employer

Job summary

Sia is hiring a Staff DevOps Engineer for the AI Factory product team based in Mumbai, responsible for architecting and standardizing cloud platforms that drive AI products. The role requires 8-12 years of experience, profound cloud platform knowledge (AWS, GCP, Azure), and strong proficiency in CI/CD pipelines, Docker, and Kubernetes. This position emphasizes technical leadership and mentorship across teams, promoting best practices in a fast-paced, collaborative environment.

Qualifications

• 8-12 years in DevOps / Platform / Infrastructure Engineering.
• Strong hands-on experience with cloud platforms (AWS, GCP, Azure).
• Deep knowledge of Docker and Kubernetes (cluster design, scaling, security).
• Strong experience building and maintaining CI/CD pipelines.
• Infrastructure automation and scripting using Python, Bash, or similar.
• Experience with monitoring and observability stacks (Prometheus, Grafana, ELK / Loki).
• Strong understanding of networking, IAM, secrets management, and cloud security fundamentals.

Responsibilities

• Architect and evolve cloud-native platform foundations supporting AI Factory products.
• Define and enforce DevOps standards across environments.
• Design scalable infrastructure patterns for multi-service, multi-environment systems.
• Act as the final escalation point for complex infrastructure and reliability issues.
• Own architecture and best practices across AWS / GCP / Azure.
• Drive reliability engineering practices: SLOs, SLIs, incident response.
• Identify systemic risks early and address them proactively.

Skills

Cloud platforms (AWS, GCP, Azure)

Docker

Kubernetes

CI/CD pipelines

Infrastructure automation

Networking

Scripting (Python, Bash)

Monitoring stacks (Prometheus, Grafana)

IAM and cloud security

Excellent communication

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Job description

Job Description

We are hiring a Staff DevOps Engineer for the AI Factory product team, responsible for architecting, scaling, and standardizing the cloud and platform foundations that power AI-driven products and internal platforms.

This is a senior individual contributor role with org-level technical influence. The Staff DevOps Engineer operates beyond single product or squad, shaping platform strategy, reliability standards, CI/CD foundations, and cloud cost governance across the AI Factory. The role is hands‑on where it matters most, while also acting as a technical authority and escalation point for complex infrastructure, deployment, and reliability challenges.

Key Responsibilities

Architect and evolve cloud-native platform foundations supporting AI Factory products and internal platforms.

Define and enforce DevOps standards across environments: CI/CD, deployment patterns, observability, security, and cost controls.

Design scalable infrastructure patterns for multi-service, multi-environment systems.

Act as the final escalation point for complex infrastructure and reliability issues.

Own architecture and best practices across AWS / GCP / Azure (multi‑cloud exposure).

Design highly available, secure, and cost-efficient infrastructure.

Drive reliability engineering practices: SLOs, SLIs, incident response, post‑mortems, and resilience planning.

Identify systemic risks early (capacity, cost, security, scaling) and address them proactively.

Architect and standardize CI/CD pipelines (GitLab CI, GitHub Actions, Azure DevOps).

Enable safe, repeatable deployments across products and teams.

Improve developer experience by reducing friction in build, test, and deployment workflows.

Support release strategies such as blue‑green, canary, and rollback mechanisms.

Stay hands‑on with critical infrastructure code, platform refactors, and high‑impact improvements.

Review infrastructure designs and pipeline changes for correctness, simplicity, and long‑term sustainability.

Build foundational tooling that enables multiple teams to move faster and safer.

Partner closely with Engineering Managers, Tech Leads, and Product teams to align platform capabilities with delivery needs.

Mentor senior DevOps and Platform engineers through reviews, architecture discussions, and coaching.

Act as a multiplier, improving outcomes across teams without direct people management.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

8‑12 years in DevOps / Platform / Infrastructure Engineering.

Strong hands‑on experience with cloud platforms (AWS, GCP, Azure).

Deep knowledge of Docker and Kubernetes (cluster design, scaling, security).

Strong experience building and maintaining CI/CD pipelines.

Infrastructure automation and scripting using Python, Bash, or similar.

Experience with monitoring and observability stacks (Prometheus, Grafana, ELK / Loki).

Strong understanding of networking, IAM, secrets management, and cloud security fundamentals.

Excellent communicator, able to translate technical trade‑offs to engineering leadership and stakeholders.

Comfortable owning triage, incident decisions, and conducting RCAs.

Additional Information

What Success Looks Like

Thinks in systems, not just features.

Acts as a force multiplier for technical teams.

Drives clarity in ambiguous technical situations.

Chooses long‑term maintainability over short‑term hacks.

Communicates complex ideas with precision and calm authority.

Leads through technical credibility, not hierarchy.

What We Offer

Opportunity to lead cutting‑edge AI projects in a global consulting environment.

A dynamic and collaborative team environment with diverse projects.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.