Mumbai Maharashtra Staff devops engineer Jobs – 39 Open Jobs Today

Staff DevOps Engineer
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Staff DevOps Engineer
CleverTap —Mumbai, Maharashtra
- Full-time
- Computer Science
- B.Sc
- DevOps
AI Engineer-MNC Financial Services
RiverForest Connections Private Limited —Mumbai, Maharashtra
- ₹15 - ₹20 an hour
- Azure
- Computer Science
- Salesforce
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AI Engineer
Kent —Mumbai, Maharashtra
- Azure
- Computer Science
- DevOps
Staff Engineer, Dotnet Fullstack (Angular)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
3d
Support Engineer
Luxoft —Mumbai, Maharashtra
- Azure
- Oracle
- Software troubleshooting
5d
Senior Staff Engineer (AI Developer - DevSecOps Tools)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
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19h
Senior Staff Engineer, Dotnet Fullstack (Angular)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Oracle
- Computer Science
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3d
Staff Software Engineer (Node.js & TypeScript)
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
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Senior Staff Engineer (AI Developer - AppSec)
Nagarro —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
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19h
Engineering Manager – AI Platforms
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Management
- Computer Science
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Data Engineer - Palantir - Contract- Mumbai
Burns & McDonnell —Mumbai, Maharashtra
- Oracle
- Databases
- Machine learning
Custom Software Engineer
Accenture —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Senior Member Technical Staff
The Nielsen Company —Mumbai, Maharashtra
- Full-time
- Computer Science
- DevOps
- Java
Quick apply
2d
DevOps Team Lead
Leah —Mumbai, Maharashtra
- Full-time
- Azure
- DevOps
- Computer networking
- Health insurance
- Paid time off
Cloud Security Manager
Sun Pharmaceutical Industries Ltd —Mumbai, Maharashtra
- Azure
- B.Sc
- HIPAA
Lead, Software Engineering (AI)
Bain & Co. —Mumbai, Maharashtra
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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Quality Specialist II A - GBS IND
Bank of America —Mumbai, Maharashtra
- Full-time
- Azure
- DevOps
- Java
Lead Platform Engineer
Bain & Co. —Mumbai, Maharashtra
- Full-time
- Computer science
- Azure
- Computer Science
Quick apply
2d

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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.

Quick apply

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