JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Data and Payments Business Observability Platform

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-timeJersey City, NJ, USA$156.8k - $215k /yrIn-person

About the Job

Requirements

Formal training or certification on software engineering concepts and 5+ years of applied experience.
2+ years in a technical lead or lead engineer role driving design and delivery with cross-functional partners.
Strong hands-on expertise in Java and Spring Boot and strong working proficiency in Python for automation, data access utilities, and developer productivity tooling.
Experience designing and operating Kafka-based systems, including topics, partitions, consumer groups, ordering, delivery semantics, retries, and dead-letter queue patterns.
Strong MySQL experience in schema design, indexing, query optimization, and transactions, with solid data modeling skills.
Familiarity with NoSQL datastores and search technologies such as Elasticsearch and knowledge of when to use them.
Working experience with Databricks and practical knowledge of connecting applications to Databricks to retrieve data securely and efficiently.
Experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, including validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
Experience coaching engineers on safe and compliant adoption of AI-assisted development practices.
Experience with AWS cloud platforms, including deploying and operating services in a cloud environment.
Hands-on React experience building user interfaces, including performance optimization for data-heavy screens and grids such as AG Grid.
Hands-on experience with Jenkins continuous integration and continuous delivery and modern deployment practices, including quality gates, automated testing, release management, and rollback strategies.

Responsibilities

Lead the design and delivery of an activity monitoring solution spanning a React user interface 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, including at-least-once delivery, retries, and dead-letter queue patterns.
Set and uphold engineering standards for Spring Boot services, including API design, error handling, security, logging, performance tuning, and versioning.
Partner with product owners and stakeholders to translate monitoring and operational requirements into 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 on AWS, including blue-green deployments, canary deployments, rollback, and configuration management.
Own and improve Jenkins continuous integration and continuous delivery pipelines, including automated builds, tests, quality gates, release orchestration, and environment promotions.
Design, build, and maintain the React-based user interface, including performant data-heavy grid experiences using AG Grid, state management, and frontend quality controls.
Ensure production readiness through observability involving 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 validation standards for secure coding, peer review, automated testing, and reuse of effective patterns.
Apply knowledge of software development lifecycle toolchains, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized from automation.

Desired Qualifications

Deep AWS experience in cloud-native design, security and identity and access management concepts, networking basics, and operational best practices.
Experience with distributed tracing and observability stacks, including OpenTelemetry patterns, log correlation, and service-level objectives and indicators.
Containerization and orchestration experience with Docker and Kubernetes, Amazon Elastic Container Service, or Amazon Elastic Kubernetes Service, including understanding of deployment tradeoffs.
Infrastructure-as-Code exposure using tools such as Terraform or CloudFormation and experience with environment standardization practices.
Experience with security- and compliance-minded engineering, including secrets management, least privilege, secure software development lifecycle practices, and dependency vulnerability management.
Domain experience in monitoring, telemetry, activity-tracking platforms, audit or event pipelines, or operational analytics systems.

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

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

Base Pay/Salary: Jersey City,NJ $156,750.00-$215,000.00

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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