About the Role :

We are seeking a Senior Java Engineer to actively contribute to the development of existing data standardization tools and, over time, design and produce new iterations by leveraging internal expertise and AI-driven capabilities.

You will work as part of a globally distributed team, building new microservices and improving current ones. The position offers exposure to a broad technology stack, including Java, Scala, Python, Elastic, Kafka, Spark, Iceberg, and Snowflake, all supported by market-leading AI tools.

As a key contributor, you will help shape the next generation of data standardization solutions for a global leader in life sciences. Success in this role requires a proactive approach, a willingness to tackle complex problems independently, and the ability to leverage cutting-edge AI technologies.

Key Responsibilities :

- Design, develop, and maintain Java-based microservices for data processing.

- Collaborate on data standardization workflows and integrate AI/ML-driven enrichment features.

- Support workflow automation and role-based security for distributed systems.

- Write high-quality code, follow best practices, and participate in peer reviews.

- Develop and maintain unit, integration, and automated tests.

- Keep documentation for services and integrations clear and up to date.

- Take ownership of understanding business problems and designing effective solutions.

- Use AI-powered development tools to improve efficiency and code quality.

- Stay up to date with emerging AI trends and their impact on software engineering.

Qualification :

Bachelor's or master's degree in computer science, Information Technology, Software Engineering, or a related field.

Required Skills :

- 10+ yrs of professional experience in software development, with a significant focus on Java.

- Hands-on experience with microservices architecture and cloud platforms (Azure preferred).

- Familiarity with Agile methodologies.

- Exposure with Spring boot.

- Exposure to database/SQL is a plus (any database should be ok).

Technical Skills :

- Strong proficiency in Java.

- Experience with containerization tools such as Docker.

- Experience with CI/CD pipelines and DevOps practices.

- Proficient in version control systems such as Git (GitLab Ultimate).

Nice to have :

- Proficiency with Postgres SQL / Oracle.

- Exposure to AI-driven data solutions and ML-based data enrichment.

- Familiarity with cloud platforms (Azure / AWS).

- Knowledge of role-based security models and workflow automation in distributed systems.

- Experience integrating heterogeneous data sources (Hive, MSSQL, Oracle, PostgreSQL, Azure Databricks).

- Understanding of search optimization and performance tuning for large-scale data systems.