Salary
≈ $15k – $34k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 7+ years exp
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. Zensar Technologies scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
Responsibilities:
- Analyze requirements, design and build solutions to ensure the product meets business and non-functional (performance, security, scalability, resilience, observability) requirements
- Develop high-quality, maintainable, and well-tested code aligned with engineering standards and best practices
- Use modern development tools, including AI-assisted coding tools (e.g., GitHub Copilot, code assistants), to improve productivity and code quality
- Maintain and enhance both business and platform side of the product
- Review code and share knowledge with other team members
- Participate in presentation sessions to demonstrate new features to stakeholders
- Apply best practices in software development (code style and patterns, quality, performance)
- Work on algorithmic calculations used by leading financial institutions
Experience
- 7+ years of experience as Java Software Engineer / Developer
- Degree in Computer Science
- Expertise in designing, developing, testing and maintaining microservices.
- Solid knowledge of Java and the Spring ecosystem (Spring Boot preferred)
- Deep expertise in Spring framework and distributed systems (Kafka)
- Strong knowledge of RESTful API standards, secure API design (JWT) and observability
- Deep understanding of AI concepts and extensive usage of AI tools in SDLC
- Strong experience with Oracle Database, including SQL optimization, indexing strategies, data modeling, and performance tuning.
- Hands-on experience with containerized deployment (Kubernetes) and CI/CD
- Proficiency in software engineering methodologies, patterns and tools
- Understanding of CI/CD pipelines and DevOps practices
- Strong communication, presentation skills, and collaborative attitude
Responsibilities:
- Analyze requirements, design and build solutions to ensure the product meets business and non-functional (performance, security, scalability, resilience, observability) requirements
- Develop high-quality, maintainable, and well-tested code aligned with engineering standards and best practices
- Use modern development tools, including AI-assisted coding tools (e.g., GitHub Copilot, code assistants), to improve productivity and code quality
- Maintain and enhance both business and platform side of the product
- Review code and share knowledge with other team members
- Participate in presentation sessions to demonstrate new features to stakeholders
- Apply best practices in software development (code style and patterns, quality, performance)
- Work on algorithmic calculations used by leading financial institutions
Experience
- 7+ years of experience as Java Software Engineer / Developer
- Degree in Computer Science
- Expertise in designing, developing, testing and maintaining microservices.
- Solid knowledge of Java and the Spring ecosystem (Spring Boot preferred)
- Deep expertise in Spring framework and distributed systems (Kafka)
- Strong knowledge of RESTful API standards, secure API design (JWT) and observability
- Deep understanding of AI concepts and extensive usage of AI tools in SDLC
- Strong experience with Oracle Database, including SQL optimization, indexing strategies, data modeling, and performance tuning.
- Hands-on experience with containerized deployment (Kubernetes) and CI/CD
- Proficiency in software engineering methodologies, patterns and tools
- Understanding of CI/CD pipelines and DevOps practices
- Strong communication, presentation skills, and collaborative attitude
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