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Software developer
Siemens
Develop AI-driven software solutions using Python/Java, CI/CD, and Kubernetes deployment.
4d ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Pune, Maharashtra, India
Office Full-Time
Company Size
303,000 Employees
Service Specialisms
Industry Automation
Power Transmission
Imaging & Therapy Systems
Diagnostics
Rail Systems
Mobility & Logistics
Low & Medium Voltage
Smart Grid
Sector Specialisms
Industrial Automation
Building Automation
Rail Transport
Health Technology
Factory Automation
Process Industries
Pharmaceuticals
Chemicals
Role
What you would be doing
software development
ai integration
quality assurance
prompt engineering
kubernetes
team collaboration
- Develop and maintain production‑grade software solutions using modern development practices and CI/CD workflows.
- Build and integrate agentic AI services using LangGraph framework with enterprise‑level requirements and performance standards.
- Implement comprehensive testing strategies, code reviews, and quality assurance processes to ensure robust software delivery.
- Contribute to team knowledge sharing and technical documentation while maintaining high standards of code quality and architecture.
- Design and implement prompt engineering strategies and context management for AI agents to optimize performance and reliability.
- Deploy and manage containerized applications on Kubernetes using Docker and Helm charts for scalable, reliable operations.
- Collaborate effectively with cross‑functional teams, including domain experts from business units, to translate requirements into technical solutions.
What you bring
python
java
langgraph
ci/cd
kubernetes
2‑5 years
- Great Communication skills.
- Self‑directed work style with excellent analytical thinking and attention to detail.
- Python (excellent) and Java for building production‑ready applications and services.
- Experience with advanced prompt optimization techniques, retrieval‑augmented generation (RAG), and context window management.
- English very good / business fluent; German knowledge is a plus.
- Hands‑on experience with LangGraph or similar agent frameworks for AI‑driven applications. Strong skills in prompt engineering and context engineering for optimizing AI agent behavior and outputs.
- Proven professional software development experience with strong foundation in CI/CD, testing methodologies, and development best practices.
- 2-5 years of experience is required.
- Analytical and problem-solving skills
- Practical experience with Kubernetes, Docker, and Helm charts in production environments. Strong communication skills for effective collaboration with technical teams and business stakeholders.
- Demonstrated track record through references from professional software or AI projects (or equivalent proof of expertise).
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
Company
Overview
Founded in 1847
Historical Milestone
Established as a small telegraph company and transformed into a global leader in technology.
- The company drives progress with solutions in electrification, automation, and digitalization across industries.
- With cutting-edge products and services, it leads sustainable innovation for industries like energy, manufacturing, and infrastructure.
- Its impressive portfolio includes smart grids, automated factories, advanced healthcare technologies, and solutions for urban mobility.
- Siemens’ digital solutions enhance efficiency and sustainability in everything from smart buildings to electric vehicles.
- It has contributed to iconic projects, including energy-efficient train systems and automation in key industrial sectors.
- Transforming how industries use digital technology to optimize operations and tackle global challenges.
- Leading change is a team effort
- Our people are enthusiasts with diverse backgrounds, skills and interests
- Every individual is valued
- Ownership – empowering employees to take responsibility
- Collaboration – leveraging unique strengths to find creative solutions
- Respect & Inclusion – diverse, respectful, flat hierarchies, flexibility, celebrating individual contributions
90% reduction
Scope 1 & 2 emissions by 2030
Achieve a 90% reduction in own-operations greenhouse gas emissions compared to 2019 levels by 2030.
144 million tonnes
CO₂-equivalent avoided in FY 2024
Products sold in FY 2024 helped customers avoid approximately 144 million tonnes of CO₂-equivalent emissions.
100% renewable
Electricity by 2030
Transition to 100% renewable electricity across operations by 2030, aligned with the RE100 initiative.
90% reduction
Scope 3 emissions by 2050
Achieve a 90% reduction in value-chain (Scope 3) emissions by 2050, validated by the Science-Based Targets initiative.
- Achieve net‑zero greenhouse‑gas emissions across the value chain by 2050
- Own‑operations net‑zero by 2030
- Value‑chain (Scope 3) target: 30% reduction by 2030
- €650 million invested in decarbonization efforts by 2030
- 100% EV fleet (EV100) by 2030
- 100% net‑zero buildings (EP100) by 2030
- Scope 1 & 2 emissions reduced by 50% since 2019, Scope 3 by 15% since 2019
- Products sold in FY 2024 helped customers avoid ~144 million tonnes CO₂‑equivalent
- Eco‑design standard achievement: 54%; 25,000 Siemens products labeled “EcoTech” for sustainable design
- Landfill waste down ~12%; recycling share of total waste 84%
Women at 32%
Top Management Increase
Women in top management roles increased significantly from a baseline of 23% in FY 2020 to 32% in FY 2024.
- DEGREE strategic framework includes 'Equity' as a measurable field of action
- Global Equity program focuses on equal rights in hiring and internal promotion processes
- SBTi‑validated targets exclude DEI but inclusion embedded in governance and career development
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