What are the responsibilities and job description for the Lead Software Engineer – Full Stack - Java/AWS/Streaming position at JPMorgan Chase?
We have 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 JPMorgan Chase within the Corporate Technology Office, you will lead a technical area and drive impact across teams, technologies, and projects spanning multiple departments. You will leverage your deep expertise in software engineering, applications, technical processes, and product management to deliver complex projects and initiatives.
Job Responsibilities:
- Lead technology implementations for the modernization and integration of existing applications into in-house strategic builds, replacing vendor solutions.
- Deliver technical solutions that can be leveraged across multiple businesses and domains.
- Influence peer leaders and senior stakeholders across business, product, and technology teams.
- Contribute to the design and implementation of strategic, high-volume, high-resilience data processing systems for surveillance and retention.
- Collaborate as part of a global technology organization spanning the US and APAC, providing end-to-end design, build, and delivery.
- Ensure adherence to team and organizational standards, focusing on continuous improvement and sustained delivery.
- Employ simple design and pragmatic implementation techniques to maximize business value.
- Pair program with team members to build high-quality solutions.
- Demonstrate passion for technology and a commitment to continuous learning and adoption of new technologies and practices.
- Mentor junior team members to advance their technical and professional skills, while actively seeking opportunities to learn and grow.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts and 5 years of applied experience.
- Strong software engineering background with a solid understanding of design patterns, cloud-native microservices architecture, and engineering best practices.
- Proficient in Java, Python, Spring Boot, and Oracle, with a good understanding of Maven build tooling.
- Experience collaborating with data scientists, product managers, and business stakeholders to identify AI-driven business opportunities.
- Hands-on experience with Docker, Kubernetes, AWS (including EMR, OpenSearch, AWS Bedrock, EKS, and ECS).
- Experience with data platforms hosted on Databricks, implementing AI/ML solutions using Claude and DBx Vector search.
- Proficient with relational databases (Postgres, Oracle, Aurora, etc.).
- Practical experience with unit testing tools such as JUnit or Mockito.
- Experience with OpenSearch or ElasticSearch for search and analytics capabilities.
- Hands-on experience with AI/ML frameworks, Vector DB, OpenSearch, LLMs, and cloud-based AI services (e.g., AWS SageMaker, Azure ML).
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred Qualifications, Capabilities, and Skills:
- Proficient in SQL, preferably across multiple databases.
- Experience with monitoring and observability tools such as Grafana, Cortex, Kibana, Datadog, and Cloudwatch.
- Familiarity with package management and artifact repositories (NuGet, JFrog Artifactory).
- Experience with modern UI technologies such as Angular or React is a plus.