Lead Software Engineer Java, Big Data, Hybrid cloud

This is an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within Infrastructure Platforms youwill be an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. You will be part of digital workflows team focusing on our Telemetry Data Lake platform. You will play a key role in developing new features supporting and enhancing our platform for clients and ensuring best practices across the full software development lifecycleincluding production deployments both on-premises and in AWS cloud environments. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• 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.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience

• Hands-on experience with one or more general-purpose programming languages which mandatorily includes Java Python and strong SQL skills.

• Demonstrates strong experience with Big data technologies like Kafka spark and enterprise scale storage/database systems.

• 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.

Preferred qualifications capabilities and skills

• 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.

• Experience with test-driven development (TDD) and developing frameworks to improve developer/release velocity and code health.

• 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.