Job Role: Software Engineer – Product Development (GAVATAR Global Monitoring & Data Analysis Centre)
Company: Siemens Limited (Siemens Real Estate – GAVATAR)
Job Location: Thane, Maharashtra, India
Job Type: Full-Time (Permanent, Office/Site only)
Eligible Batch: Recent Graduates / 0-2 Years Experience (Early Professional)
Work Mode: On-site
Expected CTC: Competitive for early-career roles (indicative ₹6–₹12 LPA based on market trends for Siemens Software Engineer / early professional in Thane/Mumbai area from AmbitionBox/Glassdoor; actual based on interview/performance; includes benefits/perks)
Siemens Software Engineer Overview
Siemens Real Estate’s GAVATAR is a pioneering Global Monitoring and Data Analysis Centre in India, delivering remote digital services to Siemens’ worldwide real estate portfolio across ~66 countries and ~1300 locations. GAVATAR transforms traditional buildings into intelligent, autonomous ecosystems using telemetry, AI/ML, data analytics, and automation for energy efficiency, carbon reporting, occupancy optimization, and operational excellence. The Software Engineer – Product Development role (0-2 years exp) is an exciting opportunity to contribute to backend APIs, data pipelines, cloud deployments, AI/ML PoCs, and autonomous building features—working with global experts on sustainability-driven tech at the intersection of AI, IoT, and smart infrastructure.
This is a promising early-career role at Siemens GAVATAR for fresh/0-2 yrs Python/Node/React folks excited about AI/ML in real estate, sustainability, and global-scale building automation—great if you’re in/near Thane and want meaningful impact with good learning in cloud/AI. Avoid if you prefer pure frontend, non-cloud work, or dislike on-site office requirements, as it’s hands-on backend + data + PoCs in a structured corporate setup.
Roles and Responsibilities
- Contribute to the development and maintenance of RESTful APIs and backend services using Node.js and Python
- Support implementation of data pipelines for telemetry validation and ingestion
- Assist in cloud-based deployments and testing of services on AWS
- Contribute to building simple ML-based features (forecasting, anomaly detection) under senior guidance
- Participate in PoC development and testing for AI/ML, Generative AI, and automation use cases
- Write clean, maintainable code following Git-based version control practices
- Debug and troubleshoot application issues with team support
- Collaborate with cross-functional teams to translate business use-cases into technical solutions
- Support data retrieval, transformation, validation, and integration from platforms like Snowflake
- Document technical work and assist in preparing presentations or reports
Eligibility Criteria for Siemens Software Engineer
Mandatory Requirements
- BE/ME/M.Tech in IT, Computer Science, or related field
- 0-2 years of relevant experience (freshers/early professionals eligible)
- Solid proficiency in Python with strong OOP principles
- Strong working knowledge of SQL and relational databases
- Practical experience building RESTful APIs using Node.js
- Hands-on exposure to React.js for UI/dashboard components
- Good communication skills and team collaboration ability
- Ability to translate business requirements into scalable technical implementations
Preferred Skills
- Working knowledge of AWS services (Lambda, EC2, S3) and cloud fundamentals
- Foundational understanding of AI/ML (forecasting, anomaly detection)
- Exposure to Generative AI concepts and PoC implementation
- Understanding of data integration from enterprise platforms (e.g., Snowflake)
- Flexible/adaptive to evolving tech and requirements
Siemens Salary, Benefits and Perks
- CTC: Competitive for early professional (indicative ₹6–₹12 LPA; varies with skills/experience)
- Hands-on work on a global-scale autonomous building ecosystem with AI/ML and sustainability focus
- Exposure to cutting-edge tech: Python/Node/React/AWS/AI/ML/Generative AI/Snowflake
- Opportunity to collaborate with global experts and contribute to real-world carbon reduction/optimization
- Supportive culture encouraging curiosity, innovation, ownership, diverse thinking, and recognition/rewards
- Standard Siemens benefits, including learning opportunities and career growth in real estate digitalization
CTC figures are indicative based on recent Siemens early-career Software Engineer hiring patterns in the Mumbai/Thane area (from AmbitionBox/Glassdoor). Actual offers may vary depending on interview performance and company policies.
Siemens Selection Process
- Online application and resume shortlisting
- Technical assessments (coding/Python/SQL/Node.js basics possible)
- Technical interview(s) on programming, APIs, data concepts, AI/ML exposure, and problem-solving
- HR/managerial round (communication, team fit, and behavioral) and final selection
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How to Apply for Siemens Software Engineer – GAVATAR
Official Apply Link:
Apply Online – Siemens Careers
Documents Required: Updated resume, academic mark sheets/certificates, any project/PoC proofs or GitHub links
FAQs for Siemens Software Engineer – GAVATAR
Who can apply for this role?
Fresh/0-2 yrs BE/M.Tech CS/IT graduates proficient in Python, Node.js, SQL, React, and interested in AI/ML/cloud for smart buildings/sustainability at Siemens GAVATAR.
Is this role suitable for freshers?
Yes. Open to 0-2 years; strong foundational skills in the listed tech stack preferred.
Is work from home available?
Office/Site only in Thane (on-site mandatory; confirm during process).
What is the tech focus?
Backend (Node.js/Python APIs), data pipelines/telemetry, AWS cloud, React UI, SQL/Snowflake, AI/ML (forecasting/anomaly/GenAI PoCs), and autonomous building automation for global real estate.
About Siemens (GAVATAR)
Siemens Real Estate’s GAVATAR is India’s Global Monitoring and Data Analysis Centre, centralizing and digitizing Siemens’ worldwide real estate portfolio. It pioneers autonomous, intelligent buildings through telemetry, AI/ML, energy/carbon optimization, and smart infrastructure—driving sustainability and operational excellence across 66+ countries.
Last Updated March 2026 | Job verified and active