Lead Software Engineer – Full Stack JavaAWSStreaming

We have 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 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).
• Bachelors or Masters 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.