Total 18 process development engineer job vacancies in Pune, Maharashtra

Software Engineer with Java/Sprint boot, ETL (SQL, Python, ETL)

Job Summary We are looking for a highly skilled and motivated Software Engineer with strong backend development experience to join our engineering team. The ideal candidate will have a solid foundation in Java-based technologies, database systems, cloud platforms, and modern DevOps practices. You will be responsible for designing, developing, and maintaining scalable, high performance applications while collaborating closely with cross-functional teams to solve complex business and technical challenges.

Key Responsibilities

• Design, develop, test, and maintain robust, scalable, and high-performance software applications.
• Build and maintain backend services using Java and Spring Boot.
• Design and optimize database schemas and queries using SQL and PostgreSQL.
• Develop and support ETL pipelines for data ingestion, transformation, and processing.
• Implement and maintain search and analytics capabilities using Elasticsearch.
• Work with cloud platforms (Azure preferred; AWS/GCP acceptable) to deploy and manage applications.
• Implement and enhance CI/CD pipelines to ensure efficient and reliable software delivery.
• Write clean, maintainable, and well-documented code following best practices.
• Troubleshoot, debug, and resolve complex technical issues in production and non production environments. |
• Collaborate with product managers, architects, QA, and other engineers to deliver high quality solutions.
• Participate in code reviews and contribute to improving coding standards and engineering practices.
• Continuously evaluate and adopt new technologies, tools, and frameworks as needed.
• Take ownership of assigned modules and drive them end-to-end.

Required Technical Skills

• Strong proficiency in Java and Spring Boot.
• Excellent knowledge of SQL and relational databases, especially PostgreSQL.
• Hands-on experience with ETL processes and data pipelines.
• Experience working with Elasticsearch for search, logging, or analytics use cases.
• Solid understanding of cloud computing concepts; hands-on experience with Azure is highly preferred.
• Experience with CI/CD tools and pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins).
• Good understanding of RESTful APIs, microservices architecture, and distributed systems.
• Experience with version control systems (Git).

Non-Technical & Soft Skills
• Strong problem-solving and analytical skills with the ability to handle complex challenges.
• Excellent communication skills, both written and verbal.
• A can-do attitude with a strong sense of ownership and accountability.
• Willingness and enthusiasm to learn new technologies and adapt to changing requirements.
• Ability to work effectively both independently and as part of a team.
• Proactive mindset with attention to detail and quality.

Good to Have (Added Value)
• Experience with system design and performance optimization.
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Exposure to monitoring, logging, and observability tools.
• Experience working in Agile/Scrum development environments.
• Understanding of security best practices for application development.

Role Overview

An AI Engineer at METRO unlocks the potential of AI for full organization. Rapidly delivers business-driven AI solutions by integrating existing cloud models and APIs, rather than inventing new algorithms. An AI Engineer builds digital agents and engineers the future of smart wholesale by delivering pragmatic, secure, maintainable, and observable AI powered solutions, that drive business value. Curious to get more information about the team, the products, or the tech stack?

Key Responsibilities

• Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing new algorithms.
• Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers.
• Integrate Google Cloud AI services and models into microservices and workflows to support scalable and maintainable solutions.
• Design, implement, deploy, and monitor intelligent agents to support automation and personalization.
• Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring.
• Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions.
• Ensure all AI solutions comply with METRO’s corporate policies on responsible AI and ethical standards.

SUMMARY:

You’ll join the Xplor Pay Development Team, which provides a full stack payment processing and acquiring platform to integrators, partners, and merchants. Whether small and independent or large franchises, we build services that customers can rely on. You will be involved in the entire software development lifecycle, working with Product Owners, Business Analysts, and others to help deliver and support required functionality across our payment platform, its user interfaces and APIs.

DUTIES AND RESPONSIBILITIES:

• Hands on problem-solving attitude with the ability to generate ideas/solutions and adapt and learn new technologies on the job.
• Write clean, testable, and well-documented code.
• Refactor existing code, write unit tests and review other teammates code.
• Fix problems and defects by collecting information, finding root causes, and implementing solutions.
• Conduct peer reviews for other members of the development team, ensuring that project conventions are adhered to and that requirements are correctly implemented.
• Participate in full-life cycle software development.
• Contribute to performance, diagnostic, and troubleshooting analysis of software.
• Create and maintain documentation for developed APIs.
• Involve and engage with other developers and other teams to motivate and connect with others.
• Mentoring junior team members and guiding them towards raising their own software quality standards.
• Estimate, plan and implement new features in collaboration with product and design.
• Code based on standards and best practices provided by your team lead.
• Keeping up to date with industry trends and technology developments.