JPMorganChase
Lead Software Engineer - Data and Payments Business Observability Platform
Be an Early Applicant
Lead the design, development, and operation of a business observability platform using React, Java, Spring Boot, Kafka, AWS, MySQL, and Databricks. Responsibilities include building event-driven microservices, data-heavy user interfaces, CI/CD pipelines, cloud deployments, production observability, and resilient data access patterns. The role also establishes engineering standards, leads cross-functional delivery, and promotes secure, responsible use of AI-assisted development tools.
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 - Data and Payments Business Observability Platform at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payment Team, you are 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. 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
As a Lead Software Engineer - Data and Payments Business Observability Platform at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payment Team, you are 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. 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
- Lead the design and delivery of an activity monitoring solution spanning a React UI and Java/Spring Boot backend services, ensuring scalability, resiliency, and a low-latency user experience with responsive APIs.
- Lead the design and evolution of event-driven microservices workflows, using Kafka for inter-service communication and reliable asynchronous processing (at-least-once delivery, retries, and DLQ patterns).
- Set and uphold engineering standards for the team’s Spring Boot services (API design, error handling, security, logging, performance tuning, versioning).
- Partner with product owners and stakeholders to translate monitoring/operational requirements into clear technical designs, delivery plans, and measurable outcomes.
- Design and maintain data access patterns across MySQL and Databricks, including connectivity, data retrieval strategies, and performance-efficient query patterns.
- Establish and evolve the deployment strategy (blue/green, canary, rollback, configuration management) aligned to engineering and operational needs on AWS.
- Own and improve CI/CD pipelines using Jenkins, including automated builds, tests, quality gates, release orchestration, and environment promotions.
- Design, build, and maintain the React-based UI, including performant, data-heavy grid experiences using AG Grid, state management, and frontend quality controls.
- Ensure production readiness through observability (metrics, logs, tracing), alerting, incident response runbooks, and proactive problem management.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.
- Apply knowledge of SDLC toolchains, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- In addition, 2+ years in a technical lead / lead engineer role driving design and delivery with cross-functional partners and being an highly collaborative team player with strong ownership/accountability and a high-energy delivery mindset (bias for action, urgency, excellence)
- Strong hands-on expertise in Java and Spring Boot and strong working proficiency in Python for automation, data access utilities, and developer productivity tooling
- Proven experience designing and operating Kafka-based systems (topics/partitions, consumer groups, ordering, delivery semantics, retries/DLQs).
- Strong MySQL experience (schema design, indexing, query optimization, transactions) and solid data modeling skills
- Familiarity with NoSQL datastores and search technologies (e.g., Elasticsearch) and when to use them
- Working experience with Databricks and practical knowledge of connecting applications to Databricks to retrieve data securely and efficiently.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Experience with AWS cloud platforms, including deploying and operating services in a cloud environment
- Hands-on React experience building UIs, including performance optimization for data-heavy screens and grids (e.g., AG Grid) and hands-on experience with Jenkins CI/CD and modern deployment practices (quality gates, automated testing, release management, rollback strategies)
Preferred qualifications, capabilities, and skills
- Deep AWS experience (cloud-native design, security/IAM concepts, networking basics, operational best practices)
- Experience with distributed tracing and observability stacks (e.g., OpenTelemetry patterns, log correlation, SLOs/SLIs)
- Containerization and orchestration experience (Docker and Kubernetes/ECS/EKS) and understanding of deployment tradeoffs
- Infrastructure-as-Code exposure (e.g., Terraform/CloudFormation) and environment standardization practices
- Experience with security and compliance-minded engineering (secrets management, least privilege, secure SDLC, dependency vulnerability management)
- Domain experience in monitoring/telemetry/activity tracking platforms, audit/event pipelines, or operational analytics systems
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Designs and supports high-speed digital circuit cards and complex electronic modules through development, testing, integration, troubleshooting, verification, and production transition. The role drives defect resolution, root-cause corrective actions, design and test improvements, technical documentation, and collaboration across engineering, operations, quality, technicians, and manufacturing teams.
Top Skills:
Analog EngineeringDigital Circuit DesignElectronic Module Integration And TestingHigh-Speed Digital Electronics
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain SysML system architecture models in Cameo Systems Modeler, translate requirements and design artifacts into structured models, and support digital transformation from document-based systems to MBSE frameworks. Collaborate with configuration management, requirements, and engineering teams; manage model changes through Jira and established workflows; improve model quality; and enable downstream simulation, analysis, and integration.
Top Skills:
Cameo Systems ModelerConfiguration ManagementDigital EngineeringJIRAModel-Based Systems Engineering (Mbse)Requirements ManagementSimulation IntegrationSysmlSystems Modeling
Financial Services
Leads the analytics and artificial intelligence strategy for Auto Commercial Solutions, overseeing data scientists and quantitative analysts. The role develops machine learning, predictive analytics, generative AI, experimentation, governance, and scalable data products to improve dealer acquisition, relationship growth, sales effectiveness, portfolio performance, and commercial lending opportunities. It partners with senior leaders across product, technology, risk, finance, and sales while translating complex insights into business recommendations and building a high-performing analytics organization.
Top Skills:
AutomationCloud Data PlatformsData GovernanceDatabricksGenerative AiMachine LearningMachine Learning OperationsPythonSalesforceSnowflakeSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
