Lead Software Engineer (Java and Python) - Enterprise Technology Data Protection & Recovery

JPMorganChase; Columbus (OH); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to join the Enterprise Technology Data Protection & Recovery product line. You will lead an agile team, shaping architecture for critical Java services, focusing on resiliency, security, and scalable, observable systems.

You will mentor engineers, drive AI-assisted development practices, and ensure robust threat modeling and encryption standards. This role emphasizes collaboration across global teams to deliver secure, reliable technology

Qualifications

• Formal training or certification in software engineering concepts with 5+ years applied experience.
• 8+ years of experience with expert level Java, including collections, concurrency, memory management, and performance tuning.
• Strong experience with Spring Boot and microservices; API-focused event-driven design.
• Expert-level experience designing Python-based microservices.
• Deep knowledge of resiliency patterns and disaster recovery objectives (RTO/RPO).
• Secure SDLC expertise: threat modeling, SAST/DAST integration, dependencies/SBOM management, secrets handling, encryption, and authN/authZ.
• Observability: metrics/logs/traces, alerting, runbooks, incident management.

Responsibilities

• Provide hands-on technical leadership across teams; act as domain SME in resiliency and recovery observability.
• Own end-to-end architecture for critical Java services: boundaries, API contracts, event schemas, cross-service standards.
• Design, develop, and review secure production code in Java; mentor engineers through code reviews.
• Drive AI-assisted engineering practices to improve quality, speed, and operations; establish validation standards.
• Drive resilient service design: manage availability SLOs, latency budgets, and error budgets.
• Partner with engineering lead on secure SDLC: threat modeling, encryption, authN/authZ.
• Champion observability and SRE practices: instrument metrics/logs/traces; lead incident response and postmortems.
• Advance data protection and recovery capabilities; maintain evidence chain of custody and auditability.
• Support CI/CD quality with tests, quality gates, canaries, and rollback plans.
• Contribute to firmwide frameworks and foster inclusive team culture.

Skills

Java

Spring Boot

Microservices

Python

Kafka

AI-assisted development

CI/CD

Cloud AWS

Security

Observability

Code reviews

Tools

Spring Boot

Kafka

SAST/DAST

CI/CD tools

AWS

Job description

Job DescriptionPush the limits of what's possible with us as an experienced member of our Software Engineering team.

Job DescriptionPush the limits of what's possible with us as an experienced member of our Software Engineering team.

As a Lead Software Engineer at JPMorgan Chase within the Enterprise Technology Data Protection & Recovery product line, you will be an essential member of an agile team dedicated to enhancing, building, and delivering trusted, market leading technology products in a secure, stable, and scalable manner. Your role will involve promoting significant business impact through your skills and contributions, utilizing your deep technical expertise and problem solving methodologies to address a wide range of challenges across technologies and applications. You will collaborate with global product and engineering teams and platform stakeholders to deliver resilient, efficient, and innovative solutions that advance the firm's strategic objectives.

Job Responsibilities

• Provide hands on technical leadership and guidance across teams; serve as function wide subject matter expert in resiliency and recovery observability.
• Own end to end architecture for critical Java services: define domain boundaries, API contracts, event schemas, and cross-service standards; steward architectural decision records.
• Design, develop, and review secure, high quality production code in Java; debug complex issues; mentor engineers through code reviews and technical coaching.
• 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.
• Drive resilient service design: drive and manage availability SLOs, latency budgets, and error budgets.
• Partner with the engineering lead the secure SDLC: conduct threat modeling; integrate SAST/DAST and dependency risk management; ensure encryption in transit/at rest and robust secrets hygiene; oversee authN/authZ patterns.
• Champion observability and SRE practices: instrument metrics/logs/traces; design actionable alerts; author runbooks; lead incident response, blameless postmortems, and continuous reliability improvements.
• Advance data protection and recovery capabilities: maintain evidence chain of custody and immutable operation, restore validation exercises and auditability.
• Enhance existing systems by analyzing objectives, preparing action plans, and identifying opportunities for performance, reliability, and operability improvements.
• Help support CI/CD quality within the product line, partnering with the engineering and product teams: codify automated tests (unit, integration, contract, performance), coverage targets, pipeline quality gates, and progressive delivery (canary/blue-green) with rollback plans.
• Contribute to the engineering community as an advocate of firmwide frameworks, tools, and best practices; add to team culture by fostering diversity, inclusion, and respect.
• Support critical environments (Development, QA, Simulation, Production) and lead on-call obligations for owned services, ensuring operational stability and timely resolution of incidents.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 8+ of experience years with expert level Java proficiency, including collections, concurrency, memory management, and performance tuning; experience with profiling tools. Able to walk through applied examples designing and operating distributed Java systems.
• Strong experience with Spring Boot and microservices; API focused event driven design and idempotency; schema evolution and compatibility.
• Expert-level experiencing designing and implementing Python-based microservices.
• Deep knowledge of resiliency engineering patterns and disaster recovery objectives (RTO/RPO) with hands on practice running DR tests and chaos/resilience exercises.
• Secure SDLC expertise: threat modeling, SAST/DAST integration, dependency risk/SBOM management, secrets handling, encryption standards, and robust authentication/authorization.
• Streaming and messaging: practical experience with Kafka (topic design, partitioning, consumer group scaling, transactional/exactly-once semantics) and other messaging platforms as required.
• 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
• Observability: instrumentation of metrics/logs/traces, alerting design, runbooks, incident management, and postmortems.
• DevOps/SDLC: proficiency with build tools, CI/CD systems, and version control (Git) with automated pipeline governance.
• Cloud-hybrid delivery: containers and orchestration, infrastructure as code, multi-AZ/region architectures, and cost efficient scalability; hands on experience with AWS and awareness of other cloud providers.
• Ability to independently tackle complex design and functionality problems with minimal oversight; excellent technical communication and mentoring skills.

Preferred Qualifications, Capabilities, And Skills

• Experience with service mesh, API gateways, and contract governance at scale.
• Familiarity with modern frontend technologies for internal tooling or dashboards.
• Proficiency in one or more additional programming languages (e.g., Python) for API delivery and management, tooling, automation, or data tasks as well as partnering with other delivery teams.
• Experience establishing engineering standards across multiple teams and leading technical working groups.

Leadership and collaboration expectations

• Act as a trusted technical leader across regions, influencing peers and decisionmakers to adopt leading edge technologies and best practices in resilience and security.
• Mentor engineers at multiple levels, elevate code quality and design rigor, and contribute to internal forums and tech talks to disseminate best practices.
• Build strong working relationships with platform partners across Product Development, Operations, Risk/Controls, and other firmwide functions to deliver competitive, scalable solutions.

ABOUT US

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

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.