Senior Java Developer

Enterprise Technology & Services (ETS) delivers shared technology services for the Firm, supporting all business applications and end users. ETS provides capabilities for the entire software development lifecycle, including coding, testing, releases, monitoring, and support for over 3,000 production applications. The Bengaluru team focuses on automation, self-service tooling, and upgrading critical infrastructure components to modern DevOps tools such as Ansible, Restful Services (Java), Jenkins, and CI / CD pipelines. After onboarding, the role involves ownership of products, working with global teams to prioritize and execute enhancements, extensions, and remediation of critical infrastructure components. This position is within the Data Engineering group in Core Infrastructure, responsible for technologies and platforms that model, provision, transform, analyze, visualize, store, and protect enterprise data.

Key Responsibilities

Design, develop, and maintain solutions in Core Java, Spring, ReactJS, and Python.

Troubleshoot across hardware, operating systems, networks, and storage.

Implement automation and self-service tooling using modern DevOps practices.

Collaborate with global teams to deliver enhancements, extensions, and remediation of infrastructure components.

Integrate testing and documentation into all developed solutions.

Support delivery and operation of enterprise data technologies and platforms.

Required Qualifications

Minimum 5+ years of experience in software development and infrastructure engineering.

Proficiency in Core Java, Spring, ReactJS, and Python.

Strong troubleshooting skills across hardware, operating systems, networks, and storage.

Excellent communication and interpersonal skills.

Preferred Qualifications

Experience with Infrastructure as Code tools such as Ansible or Terraform.

Familiarity with Agile methodology and tools like GIT, Jira, Bit Bucket, and Jenkins.

Experience with databases such as MS SQL Server, DB2, Sybase, or MongoDB.

Familiarity with Azure or AWS cloud platforms.

Understanding of Kubernetes and Kafka.

Experience in large, multi-national enterprises with globally distributed teams.

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