Lead Software Engineering - Java/Python - AI

Next Frontier Capital; Houston (TX); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to shape architecture and deliver secure, scalable systems within Corporate Sector Technology. You will drive enterprise AI‑assisted practices and guide an agile team across multiple business functions.

You will mentor engineers, design resilient microservices, collaborate with architects and DBAs, and advance observability, security, and governance while delivering ML pipelines for fraud detection and risk assessment.

Qualifications

• Formal training or certification on software engineering concepts.
• 10+ years of hands-on software development experience in large-scale distributed systems, Java/J2EE and Spring Boot.
• 3+ years of Linux experience.
• Experience using AI-assisted software development tools.
• Strong understanding of responsible AI in engineering workflows.
• Experience with REST APIs and microservices.
• Kubernetes orchestration experience.
• Messaging systems such as Kafka.
• Log analytics with ELK/Splunk.
• AWS and/or hybrid on-prem + cloud exposure.

Responsibilities

• Drives enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies SDLC toolchain knowledge to improve automation value.
• Architects and implements scalable, low-latency services with target-state architecture.
• Designs services that integrate with enterprise systems with governance and security.
• Lead and mentor the development team in a high-pressured delivery environment; manage multiple deliverables and stakeholders.
• Collaborate with LOB users, SMEs, architects, DBAs, and system admins to design solutions and resolve issues.
• Build ML pipelines for fraud detection and risk assessment; support modeling teams.
• Deploy production ML models with validation and quality controls.
• Design reusable ML platform components and establish monitoring.
• Build agentic AI services to automate engineering workflows.
• Define guardrails and evaluation approaches for agentic AI in production.

Skills

Java/J2EE

Spring Boot

Microservices

REST APIs

Kubernetes

AI-assisted tools

Security

Agile

Team mentorship

Education

Formal software engineering certification

Tools

Kafka

ELK/Splunk

CI/CD tooling

Job description

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 Corporate Sector Technology, 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

• 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.
• Architect and implement resilient, highly scalable, fault‑tolerant, low‑latency services and drive target‑state architecture.
• Design and deploy services that integrate with enterprise systems; ensure functional, performance, scalability, security, governance, and auditability requirements are met.
• Lead and mentor the development team in a high-pressured delivery environment; manage multiple deliverables across business groups and strengthen stakeholder relationships.
• Collaborate with LOB users, SMEs, architects, DBAs, and system administrators to design solutions, manage enhancements, and resolve issues.
• Build and mature capabilities that execute ML pipelines for fraud detection and risk assessment; support modeling teams in implementation and tooling.
• Production Alize models built by data scientists, including validation readiness and quality controls prior to live usage.
• Design and own reusable ML platform components (e.g., feature‑store patterns, delivery pipelines) and establish monitoring/alerting for performance, scalability, availability, and reliability.
• Build agentic AI services to automate and enhance engineering and model‑ops workflows (tool‑using agents, orchestration, state management, and audit‑ready traceability).
• Define and implement guardrails and evaluation approaches for agentic AI in production (quality, safety, latency, and cost).

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 10+ years of recent hands‑on software development experience in large‑scale distributed systems, primarily Java/J2EE and modern Java/Spring Boot microservices.
• 3+ years of experience developing in Linux environments.
• 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
• Strong experience with REST APIs and service‑oriented / microservices architecture.
• Strong Kubernetes orchestration experience (building, deploying, and operating production services).
• Messaging expertise with Kafka, MQ, or similar platforms.
• Experience with backend infrastructure patterns (e.g., load balancing, autoscaling).
• Experience with log analytics / observability tools (e.g., ELK, Splunk).
• AI/ML platform exposure (MLOps, feature engineering, model hosting/operationalization; AWS and/or hybrid on‑prem + cloud).

Preferred qualifications, capabilities, and skills

• Strong communication skills and proven ability to influence across senior technology and business stakeholders.
• Strong SDLC knowledge and agile ways of working, including CI/CD, application resiliency, security, testing, and operational stability.
• Agentic AI experience preferred: building and operating LLM‑driven agents with tool integration, monitoring/telemetry, and governance/audit considerations.
• Experience with NoSQL databases such as Cassandra (preferred).

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

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. Carry out critical tech solutions across multiple technical areas as an integral part of an agile team