Job Description, Responsibilities & Requirements
About the Position
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.
Location: Bangalore, India (Remote/Hybrid)
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.
Requirements
- Qualification: Bachelor's or master's degree in computer science, Information Technology, Software Engineering, or a related field.
- Experience: 10+ years of professional experience in software development, with a significant focus on Java.
- Skills:
- Hands-on experience with microservices architecture and cloud platforms (Azure preferred).
- Familiarity with Agile methodologies.
- Exposure to 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.
We Offer
- Opportunity to work with cutting-edge AI technologies.
- Exposure to a diverse and broad technology stack.
- Collaborative environment with a globally distributed team.
- Professional growth and development opportunities.
About the Company
[Company description if present]