JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Full Stack

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-time$156.8k - $215k /yrIn-person

About the Job

Requirements

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Demonstrated full stack engineering capability across frontend and backend, with the ability to deliver independently across the Software Development Life Cycle.
Strong proficiency in Python, experience building microservices and automation frameworks, working knowledge of JavaScript, and strong React experience building production-grade web applications.
Hands-on experience deploying and operating workloads on Kubernetes, including deployments, services, scaling, configuration, and troubleshooting; hands-on experience with API gateways, Kafka, and event-driven architectures.
Experience leading effective use of approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
Experience with Apache Airflow workflow orchestration, including DAG authoring, dependency design, failure handling, and operational support.
Experience with distributed databases or SQL data stores, including working knowledge of CockroachDB or similar distributed SQL systems, schema design, query performance, and reliability considerations.
Ability to support observability and operations through log- and metric-based troubleshooting and performance tuning using tools such as Splunk and Grafana.
Experience developing, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages.
Experience with continuous integration and continuous delivery, automated unit and integration testing, observability using logs, metrics, and traces, and application security including authentication, authorization, secrets handling, and dependency scanning.
Demonstrated technical leadership as a senior individual contributor through leading designs, driving delivery, and influencing across teams.

Responsibilities

Execute creative software solutions, design, development, and technical troubleshooting to build solutions and break down technical problems.
Own end-to-end full stack delivery across frontend with React and TypeScript, backend Python services, Apache Airflow data and workflow services, and CockroachDB data modeling.
Design and deliver scalable, highly available services and user experiences for large-scale applications, and drive architecture decisions that improve throughput, latency, reliability, and operability.
Build and maintain cloud-native deployments on Kubernetes, including configuration, scaling strategies, health checks, rollouts, rollback strategies, and capacity considerations.
Drive monitoring, observability, and performance tuning across the stack using Splunk, Grafana, and related logging, metrics, and tracing patterns; lead root-cause analysis and remediation.
Drive team adoption of enterprise-authorized AI-assisted engineering practices, establish validation standards for secure coding, peer review, and automated testing, and promote reuse of effective patterns.
Apply software development life cycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation outcomes.
Identify opportunities to eliminate or automate remediation of recurring issues and improve operational stability of software applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within existing systems and information architecture.

Desired Qualifications

Experience designing and delivering high-scale systems with high throughput, low latency, multi-service architectures, scaling, and capacity planning.
Strong experience with production readiness practices, including service-level objectives, service-level indicators, error budgets, alert tuning, runbooks, and incident management.
Experience with agentic artificial intelligence frameworks and model-to-tool integration patterns, including prompt and tool design, structured outputs, and evaluation and monitoring.
Experience building robust continuous integration and continuous delivery pipelines for Kubernetes deployments, including testing strategies, automated quality gates, and safe delivery patterns.
Experience implementing distributed-system resiliency patterns such as rate limiting, retries and backoff, circuit breakers, and idempotency, along with event-driven architectures and workflow engines.
Familiarity with secure software delivery practices, including threat modeling, secrets management, least privilege, and software supply chain controls.

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 – Full Stack at JPMorgan Chase within the Enterprise Technology - Network Services 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. This role is hands-on and suited for seasoned full stack engineers who can own end-to-end delivery—from system design through implementation, deployment on Kubernetes, and production operations (monitoring, troubleshooting, and performance tuning).

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Owns end-to-end full stack delivery across; Frontend (React/TypeScript), Backend (Python services), Data/Workflow Services (Apache Airflow - DAG design) and Database (CockroachDB - data modeling)
Designs and delivers scalable, highly available services and user experiences for large-scale applications; drives architecture decisions that improve throughput, latency, reliability, and operability
Builds and maintains cloud-native deployments on Kubernetes, including configuration, scaling strategies, and operational readiness (health checks, rollouts, rollback strategies, capacity considerations)
Drives monitoring, observability, and performance tuning across the stack using tools such as Splunk and Grafana (and related logging/metrics/tracing patterns); leads root-cause analysis and remediation
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Demonstrated full stack engineering capability (frontend + backend) and ability to deliver independently across the SDLC
Strong proficiency in Python and experience building microservices and automation frameworks; working knowledge of JavaScript for tooling/UI/integrations and strong React experience building production-grade web applications (performance, usability, maintainability)
Hands-on experience deploying and operating workloads on Kubernetes (deployments, services, scaling, configuration, troubleshooting) and hands-on experience with API gateways, Kafka, and event-driven architectures
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 workflow orchestration using Apache Airflow (DAG authoring, dependency design, failure handling, and operational support) and experience with distributed databases / SQL data stores; working knowledge of CockroachDB or similar distributed SQL systems (schema design, query performance, reliability considerations)
Proven ability to support observability and operations, including log/metric-based troubleshooting and performance tuning using tools such as Splunk and Grafana
Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Experience with CI/CD, automated testing (unit/integration), observability (logs/metrics/traces), and application security (authn/authz basics, secrets handling, dependency scanning)
Demonstrated technical leadership as a senior IC (leading designs, driving delivery, and influencing across teams)

Preferred qualifications, capabilities, and skills

Experience designing and delivering high-scale systems (high throughput/low latency, multi-service architectures, scaling and capacity planning)
Strong experience in production readiness practices (SLOs/SLIs, error budgets, alert tuning, runbooks, incident management)
Experience with agentic AI frameworks and model-to-tool integration patterns (prompt/tool design, structured outputs, evaluation/monitoring)
Experience building robust CI/CD pipelines for Kubernetes deployments (testing strategies, automated quality gates, safe delivery patterns)
Experience implementing distributed system resiliency patterns (rate limiting, retries/backoff, circuit breakers, idempotency) and experience with event-driven architectures and workflow engines
Familiarity with secure software delivery practices (threat modeling, secrets management, least privilege, supply chain controls)

FEDERAL DEPOSIT INSURANCE ACT:

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

Base Pay/Salary: San Francisco,CA $156,750.00-$215,000.00; Palo Alto,CA $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

Recently Posted Jobs

Explore more opportunities at JP Morgan Chase

See more jobs