Live opening · Posted 4 days ago
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Job Description:
We are seeking a Senior Java Engineer to actively contribute to the development of existing data standardization tools and, over time, design and productions new iteration 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)
Please note that we are looking for candidates who can join immediately or have a notice period of up to 30 days.
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.
Relevant candidates can reach out to reshma.ponnamma@customertimes.com
Work arrangement
Yes
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