Lead Software Engineer - Java, Big Data, Hybrid cloud
JPMorgan Chase View all jobs
- Bangalore, Karnataka
- Permanent
- Full-time
- Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develops secure high-quality production code, and reviews and debugs code written by others.
- Contribute to the adoption of agile methodologies and participate in sprint planning, reviews, and retrospectives.
- Own and execute end-to-end SDLC best practices, including production deployments on-premises and in AWS.
- Provide platform support and implement enhancements to improve client experience.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Collaborate with cross-functional teams to deliver robust, scalable solutions.
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Ability to collaborate effectively with diverse roles and teams.
- Advanced experience in at least two of the following:
- Web application development
- Databases, Big Data platforms, ETL processes
- Unix/Linux environments
- Distributed and parallel systems
- Large-scale software development
- Strong critical thinking, problem-solving, and communication skills.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security and all aspects of the Software Development Life Cycle
- Proficiency with development tools such as Jira, Jenkins, Git, and testing frameworks (Junit, Cucumber etc.).
- Practical cloud native experience with AWS.
- Cloud certifications (AWS preferred).
- Experience with containers and Kubernetes.
- Familiarity with AI/ML concepts, Data platforms, Object storage, Iceberg and tools like Databricks, Snowflake, Trino, etc.
- SRE (Site Reliability Engineering) mindset with good knowledge of infrastructure and deployment strategies
- Solid understanding of cloud technologies (preferably AWS), virtualization, APIs, and modern software languages.