Mumbai, Mh Staff devops engineer Jobs – 45 Open Jobs Today

Staff DevOps Engineer
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Senior Devops Engineer
Ingram Micro —Mumbai, Maharashtra
- Full-time
- Bachelor's degree
2d
DEVOPS ENGINEER L3(CONTRACT)
Wipro Limited —Mumbai, Maharashtra
- DevOps
8h
Staff DevOps Engineer
CleverTap —Mumbai, Maharashtra
- Full-time
- Computer Science
- B.Sc
- DevOps
Senior Member Technical Staff - Devops
The Nielsen Company —Mumbai, Maharashtra
- Full-time
- Computer Science
- DevOps
- Java
Quick apply
6d
Associate Staff Engineer (Python + Agentic Workflows)
Nagarro —Mumbai, Maharashtra
- Full-time
- Computer Science
- Software troubleshooting
- DevOps
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3d
Staff Engineer, Dotnet Fullstack (Angular)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
7d
Support Engineer
Luxoft —Mumbai, Maharashtra
- Azure
- Oracle
- Software troubleshooting
9d
AI Engineer
Kent —Mumbai, Maharashtra
- Azure
- Computer Science
- DevOps
Senior Staff Engineer (AI Developer InfraSec Automation)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Quick apply
3d
Senior Staff Engineer, Dotnet Fullstack (Angular)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
7d
AI Engineer-MNC Financial Services
RiverForest Connections Private Limited —Mumbai, Maharashtra
- ₹15 - ₹20 an hour
- Azure
- Computer Science
- Salesforce
Quick apply
Custom Software Engineer
Accenture —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
DevOps Team Lead
Leah —Mumbai, Maharashtra
- Full-time
- Azure
- DevOps
- Computer networking
- Health insurance
- Paid time off
Senior Staff Engineer (AI Developer - DevSecOps Tools)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
4d
Data Engineer - Palantir - Contract- Mumbai
Burns & McDonnell —Mumbai, Maharashtra
- Oracle
- Databases
- Machine learning
Lead Platform Engineer
Bain & Co. —Mumbai, Maharashtra
- Full-time
- Computer science
- Azure
- Computer Science
Quick apply
6d
Senior Staff Engineer (AI Developer - AppSec)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
4d
Staff Software Engineer (Node.js & TypeScript)
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Senior Staff Engineer (AI Developer SOC Automation)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
3d

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Staff DevOps Engineer

Sia -
Mumbai, Maharashtra

Quick apply

Job details

Full-time

Qualifications

CI/CD
Azure
Computer Science
Kubernetes
Software deployment
DevOps
Git
Master's degree
Bash (Unix shell)
AWS
Docker
Bachelor's degree
Continuous integration
GitHub
AI
GitLab
Python
Identity & access management

Full job description

Company Description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We’re optimists for change and we help clients initiate, navigate, and benefit from transformation. We believe optimism is a force multiplier, helping clients mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes.

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 a 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 issue
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 a related field.
8 -12 years in DevOps / Platform / Infrastructure Engineering.
Proven experience operating at Staff / Principal-like scope (multi-team, platform-level impact).
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 fundamental.
Excellent communicator, able to translate technical trade-offs to engineering leadership and Stake holders.
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.

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Refine Your Search

staff devops engineer jobs in mumbai, mh

Staff DevOps Engineer

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Senior Staff Engineer (AI Developer - DevSecOps Tools)

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Senior Staff Engineer (AI Developer - AppSec)

Staff Software Engineer (Node.js & TypeScript)

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