Lead end-to-end delivery of cloud-native, full-stack software initiatives, defining architecture, engineering standards, reliability practices, observability, CI/CD, and secure production operations. Build microservices, APIs, and AI capabilities using LLMs and generative AI. Guide responsible AI-assisted development, lead incident response and continuous improvement, mentor engineers, and align technical priorities across stakeholders and initiatives.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, OPS Tech, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities:
As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, OPS Tech, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities:
- Lead end-to-end delivery of complex full-stack initiatives from concept through production launch, balancing speed, quality, risk, and maintainability.
- Set technical direction for the team/domain: define target architecture, drive roadmap-level technical decisions, and align designs to business priorities and constraints.
- Architect and deliver cloud-native microservices and APIs with strong security controls, scalability, resilience, and performance; ensure designs are operationally production-ready.
- Lead development of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows; establish patterns that are reusable across squads.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices (e.g., CoPilot, Claude) to improve code quality, delivery speed, and operational outcomes; set consistent validation standards (secure coding, peer review, automated testing) and promote reuse.
- Establish and enforce engineering standards across the team (coding standards, API guidelines, testing strategy, dependency management, documentation expectations, and operational readiness).
- Own reliability outcomes for key services: define SLIs/SLOs, lead incident response and RCA/postmortems, and drive continuous improvements to stability, latency, and cost.
- Lead observability and operational automation strategy (logs/metrics/tracing, alert quality, runbooks, auto-remediation) to reduce recurring issues and improve MTTR.
- Drive CI/CD maturity and safe delivery practices (quality gates, canary/blue-green, feature flags, rollback strategy), enabling predictable releases and zero/low downtime changes.
- Mentor and grow engineers (senior and junior) through technical coaching, architecture reviews, and feedback; cultivate a culture of technical excellence and continuous improvement.
- Communicate status, risks, and tradeoffs clearly across stakeholders; manage priorities and dependencies across multiple initiatives while operating effectively in Agile/Scrum.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience in addition to 7+ years of applied experience building production systems, including leading delivery of complex initiatives.
- Strong system design, application development, and operational stability skills in production environments, with demonstrated ownership of on-call readiness and incident outcomes.
- Expertise designing and building microservices and RESTful APIs, with strong knowledge of data technologies and integration patterns, and ability to set standards used by others.
- Hands-on experience building cloud-native systems on at least one major cloud platform (AWS, GCP, or Azure), including production deployment and operationalization.
- Experience with distributed systems concepts (scalability, resiliency, concurrency, idempotency, failure modes, and performance tuning) and ability to guide design reviews.
- Proven ability to influence product design and technical direction by proposing pragmatic architectures, tradeoffs, and standards aligned to firm SDLC, security, and controls expectations.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Demonstrated experience leading effective team use of approved AI-assisted development practices (coding, code review, test acceleration, troubleshooting), including establishing team expectations and reusable validation patterns.
- Hands-on experience with Large Language Models (LLMs) and generative AI use cases (e.g., RAG, summarization/extraction, workflow assistants), including evaluation and monitoring considerations.
- Understanding of responsible AI use in engineering workflows (data sensitivity, safe handling of inputs/outputs, resiliency/security expectations) and ability to guide peers on safe and effective usage.
- Strong communication and stakeholder management skills; ability to drive alignment, resolve ambiguity, and deliver outcomes across multiple initiatives.
Preferred qualifications, capabilities, and skills:
- AWS cloud certification(s).
- AI/ML or GenAI certification(s) (or equivalent practical experience delivering LLM-enabled capabilities).
- Advanced Java proficiency (primary) and working knowledge of Python.
- Experience with Docker, Kubernetes, and modern CI/CD practices.
- Experience with multi-region deployments, disaster recovery, and zero-downtime release patterns.
- Strong understanding of responsible AI practices, including prompt/agent safety patterns and secure handling of sensitive data.
- Track record delivering scalable, reliable, and secure products from concept to launch in a regulated environment.
- Domain familiarity with financial services technology; IVR/CCaaS experience a plus.
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
About the TeamOur Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You’ll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.Similar Jobs
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Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
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