Staff DevOps Engineer

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Department:

Data Science

Job Summary

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: Bachelors or Masters 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.

Remote Work :

Employment Type :

Full-time

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: Bachelors or Masters 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.

Remote Work :

Employment Type :

Full-time

Key Skills

Computer Science
Docker
Kubernetes
Python
VMware
C/C++
Go
System Architecture
gRPC
OS Kernels
Perl
Distributed Systems

Apply Now

About Company

Sia

Sia est un groupe international de conseil en management de nouvelle génération. Fondé en 1999, nous sommes nés à l’ère du numérique. Aujourd’hui, nos services en stratégie et management sont augmentés par la data science, enrichis par la créativité et guidés par la responsabilité. No ... View more

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