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Staff Software Engineer (Python)

Sia Verified employer

Full time On-site
Experience
8+ years
Location
Mumbai
Work mode
On-site
Salary
₹12L – ₹28L a year estimatetypical for IT Jobs in Maharashtra, 116 posts
Posted 1 month ago Last checked 7 hr ago

CoreHRx never asks candidates for money. If anyone does, .

Role at a glance

You will
  • Define and own architecture for backend systems (primarily Python) that integrate AI/ML into production services.
  • Deploy, optimize, and scale ML models in collaboration with Data Science and Data Engineering.
  • Design and maintain cloud infrastructure using Terraform and Helm; support deployments on GCP/AWS.
Experience
8+ years
Education
Master's degree or higher
Must-have skills
AWSDockerGoogle Cloud Platform (GCP)GrafanaJavaJavaScript
Work mode
On-site

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Job description

Location: Mumbai, MH, India
Department: Engineering

Job Description

We are seeking a Staff Engineer to support the design and delivery of next-generation AI and Generative AI platforms within Sia’s AI Factory. This is a hands-on engineering role focused on building scalable, production-grade systems where LLMs, agentic workflows, and machine learning models integrate seamlessly with cloud-native backend services. 

You will work closely with product, data science, and platform teams to translate business and client requirements into robust technical solutions. The role requires strong Python expertise, experience with distributed systems and microservices, and a pragmatic approach to delivering reliable, scalable systems in enterprise environments. In addition to technical delivery, you will contribute to architectural decisions, raise engineering standards, and support client-facing engagements through technical leadership and clear communication. 

Key Responsibilities 

  • Define and own architecture for backend systems (primarily Python) that integrate AI/ML into production services. 

  • Deploy, optimize, and scale ML models in collaboration with Data Science and Data Engineering. 

  • Design and maintain cloud infrastructure using Terraform and Helm; support deployments on GCP/AWS. 

  • Lead containerization and orchestration best practices (Docker, Kubernetes) for development and production. 

  • Ensure data integrity and performance across SQL and NoSQL systems (Postgres, MongoDB, etc.). 

  • Establish and maintain monitoring and observability: Prometheus, Grafana, logging (Loki/ELK) and alerting. 

  • Ship backend microservices and platform tooling: APIs, auth, data pipelines, batch/streaming components. 

  • Contribute to product architecture decisions for both SaaS products and client implementations. 

  • Act as a technical contact on client-facing projects—translate requirements into technical designs and guide delivery. 

Qualifications

  • Education: Master’s or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Physics. 

  • 8+ years engineering experience (or equivalent) building backend systems, demonstrable ownership of architecture and delivery. 

  • Strong Programming in python, java or JavaScript expertise, experience building microservices and backend tooling. 

  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes). 

  • Practical experience with Terraform, Helm, and cloud platforms (GCP/AWS). 

  • AI-Native Engineering: Experience utilize Cursor, GitHub Copilot, or Claude Code as a core part of their daily workflow. 

  • Familiarity with deploying/operating ML models in production; comfortable collaborating with Data Science. 

  • Solid knowledge of relational and NoSQL databases and performance tuning. 

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

  • Proven track record mentoring engineers, leading cross-team initiatives, and influencing technical strategy. 

  • Excellent communicator, able to translate technical trade-offs to engineering leadership and Stake holders. 

  • Comfortable owning triage, incident decisions, and conducting RCAs. 

Staff Engineer Traits (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. 

Additional Information

What We Offer 

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

  • Leadership development programs and training sessions at our global centers. 

  • A dynamic and collaborative team environment with diverse projects. 

Position based in Mumbai (onsite)

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. 

Company Description

Sia Partners is a next-generation global management consulting firm, founded in 1999 and headquartered in Paris, France. The firm is recognised for its innovative approach, combining strategy and management consulting with data science and creativity. Sia Partners serves a diverse range of sectors, including energy, banking, healthcare, and technology, providing services to over 1,000 clients worldwide, including many Fortune 500 companies. With a strong emphasis on delivering tangible results and superior value, Sia Partners is committed to helping clients navigate the digital revolution and achieve transformation. The firm operates with a global presence, employing over 3,500 consultants across 48 locations in 20 countries

Our Mumbai office was launched in 2024, marking an exciting new chapter for us. We’re building the team with people who are eager to shape something from the ground up — combining the agility and entrepreneurial energy of a startup with the backing and reach of a global brand.

Key skills

Required

AWSDockerGoogle Cloud Platform (GCP)GrafanaJavaJavaScriptKubernetesMicroservicesPrometheusPythonTerraformHelmMachine LearningMonitoringObservability

Soft skills

LeadershipMentoring

Job market insights

85active AWS jobs in Mumbai
29active Docker jobs in Mumbai
43active Google Cloud Platform (GCP) jobs in Mumbai
₹12L – ₹28L advertised yearly salary for IT Jobs in Maharashtra (middle half of 116 posts that show a salary; median ₹19L)
17 more open jobs at Sia

Most IT Jobs posts in Mumbai ask for 3–6 years of experience (49% of 433 that say).

Hiring most for IT Jobs in Mumbai

  • JPMorgan Chase54 open jobs
  • Necsws24 open jobs
  • Schneider Electric22 open jobs

Jobs asking for AWS in Mumbai also ask for

  • Microsoft Azure55%
  • Python54%
  • Google Cloud Platform (GCP)41%
  • CI/CD40%
  • Java35%

From live job posts on CoreHRx, updated 5 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Staff Software Engineer (Python) job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹12L – ₹28L a year (typical for IT Jobs in Maharashtra, 116 posts).

How much experience does this job need?

The post asks for 8 Yrs experience.

Where is this job based?

In Mumbai (on-site).

What kind of job is this?

It is a full time job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
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