Lead Software Engineer - Java, Spark, Kafka

This is an opportunity to impact your career and provide an adventure where you can push the limits of what's 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 lifecycle-including 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 firm's 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.