Lead Software Engineer - Java / AWS / AI

Aumni; Houston (TX); In loco; USD 140.000 - 230.000; Tempo pieno

Descrizione del lavoro

JPMorganChase is seeking a Lead Software Engineer to shape platform direction and deliver scalable, secure, production-grade capabilities across backend, data, and UI layers. You will own full-stack delivery from cloud-native services to frontend experiences, within Global Technology Banking.

Join a high-impact team focused on automation, AI-assisted development, and reliable production systems that support deal velocity and robust execution for Global Banking. Equal opportunity employer.

Competenze

• 5+ years of applied software engineering experience.
• Strong hands-on Java/J2EE, Spring Boot and microservices.
• Proficiency with AWS, Terraform, GitHub, Jenkins and modern tooling.
• Experience leading AI-assisted development with secure validation.
• Strong relational/noSQL databases incl. PostgreSQL/MySQL/DynamoDB/ Redis/Cassandra.
• Docker and container orchestration (Kubernetes/ECS/EKS).
• Fluent SDLC practices and monitoring/observability (Splunk, Datadog, Dynatrace, CloudWatch).

Mansioni

• Design and implement complex backend services, APIs, and UI components in Java, Python, and React.
• Lead adoption of AI-assisted engineering practices and ensure secure outputs.
• Drive enterprise‑grade reliability, observability, and code quality improvements.
• Develop data and search solutions with PostgreSQL and OpenSearch.
• Collaborate on cloud-native engineering on AWS with Terraform and CI/CD pipelines.
• Mentor teammates and promote inclusive engineering culture.

Conoscenze

Java/J2EE

Spring Boot

Microservices

AWS

Terraform

GitHub

Jenkins

AI-assisted development

PostgreSQL

OpenSearch

Docker

Kubernetes

SDLC tooling & observability

Monitoring tools (Splunk, Datadog, Dyn

Formazione

Software engineering degree or equivalent

Strumenti

AWS

Terraform

GitHub

Jenkins

Docker

Kubernetes

OpenSearch

PostgreSQL

MySQL

DynamoDB

Redis

GraphQL

CloudWatch

Descrizione del lavoro

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 JPMorganChase within the Commercial & Investment Bank - Global Technology Banking 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.

You will help shape the platform’s technical direction and lead delivery of high-impact, production‑grade capabilities: building scalable and resilient services, engineering secure data flows, and integrating seamlessly with other services within the JPMC ecosystem. You'll own the full stack from micro‑frontend UX to cloud‑native backend services, turning fragmented screening and origination processes into a unified, automated platform that accelerates deal velocity and strengthens execution quality for Global Banking teams.

The Transaction Development platform is an application suite within the Global Banking line of business that provides company screening and proprietary idea generation to drive M&A pipeline for Corporates and Sponsors

Job responsibilities

• Design and implement complex software components across backend services, APIs, and UI experiences using Java, Python, and React, applying sound engineering judgment and pragmatic architecture.
• Build and refine agentic capabilities using the Smart SDK, including tool integration, orchestration patterns, and safety/reliability guardrails suitable for production use.
• 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.
• Write secure, high‑quality production code and raise the bar through code reviews, debugging, and hands‑on mentorship—improving maintainability, performance, and consistency across the codebase.
• Drive operational excellence by identifying recurring issues and implementing automation, preventative controls, and reliability improvements to reduce toil and improve system stability.
• Engineer data and search solutions using PostgreSQL (schema design, migrations, query tuning) and OpenSearch (indexing strategies, query relevance tuning) to support AI and analytics workflows.
• Contribute to cloud‑native engineering on AWS, partnering on infrastructure‑as‑code with Terraform and improving deployment safety, environment consistency, and observability.
• Participate in technical evaluation sessions with internal partners and external vendors—assessing architecture, technical depth, and fit within existing platforms and information architecture.
• Champion modern engineering practices and knowledge‑sharing, contributing to communities of practice and accelerating adoption of leading‑edge technologies.
• Promote an inclusive team culture, contributing to diversity, opportunity, inclusion, and respect through daily collaboration and mentorship.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong hands‑on expertise in Java/J2EE, Spring Boot, and microservices architecture, building secure, high‑quality, production‑grade systems.
• Proficiency with AWS, Terraform, GitHub, Jenkins, and modern developer tooling (e.g., GitHub Copilot)
• 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
• Databases: proficiency with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., DynamoDB, Redis, Cassandra), and GraphQL.
• Containerization: experience with Docker and container orchestration (ECS, EKS, or Kubernetes).
• Demonstrated experience developing, debugging, and maintaining software in a large corporate environment using one or more modern programming languages and database querying languages.
• Demonstrable ability to write high‑quality code in one or more languages, with strong debugging and troubleshooting skills.
• Experience across the full Software Development Life Cycle (SDLC), from design and implementation through testing, deployment, and production support.
• Demonstrated expertise with monitoring/observability tools (e.g., Splunk, Datadog, Dynatrace, CloudWatch) and proven capability to lead high‑performing teams by influence—driving innovation, maintaining strong team health, and owning the end‑to‑end performance cycle

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

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Deliver secure, resilient microservices and data for agentic origination automation, accelerating JPMC pipeline growth at scale AI