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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

3–5 yearsUNKNOWNofficeDirect Career PageEst. 12–20 LPA

Posted 8h ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Tier-1 employer, generic Software Engineer title, mid-level (3–5 years), and Bangalore location increase competition.

Background Fit Sensitivity

(Low)

Technical big-data skills are broadly transferable across industries despite banking-domain preference.

Shortlisting Strictness

(High)

Explicit 3–5 years plus mandatory Java, Spark, Kubernetes and CI/CD skills raises shortlisting strictness.

Structured overview of role & requirements

Own development and maintenance of Java and Spring Boot framework components with hands-on coding.

Develop and manage Java Spark applications on HDInsight or SoK8s for big data processing.

Implement and manage containerized environments using Docker and Kubernetes along with CI/CD pipelines on Agile projects.

3 to 5 years of hands-on experience with Java and Spring Framework components.

At least 2 years experience with Java Spark on HDInsight or SoK8s.

At least 2 years experience with container and orchestration tools like Docker and Kubernetes.

Experience with SQL and at least one RDBMS (Oracle, PostgreSQL, or SQL Server).

Experienced working in Agile methodology with CI/CD pipeline implementation.

Comfortable working in big data environments integrating Java Spark and container orchestration.

Preferably has exposure to Linux (RHEL), cloud platforms such as Azure Data Lake, and Investment Banking domain but not mandatory.