Director of Software Engineering-HR Domain

Next Frontier Capital

Jersey City (NJ)

On-site

USD 180,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Job summary

JPMorgan Chase & Co. in New Jersey seeks a Director of Software Engineering to provide hands‑on technical leadership across multiple application teams within Corporate Technology – HR, Pay & Time Technology.

You will architect and build highly scalable, serverless solutions on AWS for Compensation, Benefits, Payroll, and Time, spanning Web, Mobile, and conversational interfaces. The role emphasizes multi‑region, active‑active resiliency, AI‑native development, secure‑by‑design practices, and

Qualifications

  • Formal training or certification on software engineering concepts with 10+ years applied experience.
  • 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • Deep, current, hands‑on expertise developing on AWS with serverless design patterns (e.g., Lambda, API Gateway, DynamoDB, EventBridge, Step Functions).
  • Expert in designing and operating multi‑region active‑active applications with high‑availability, resiliency, and disaster‑recovery patterns.
  • Strong programming expertise in Java with the Spring Boot and broader Spring framework, and in Python with modern frameworks (e.g., FastAPI, Flask).
  • Demonstrated experience with AI‑native development—agentic workflows, prompt engineering, and loop engineering—using tools such as Claude Code, Copilot, or similar
  • Experience building MCP servers and custom agents integrated with conversational/chatbot platforms (e.g., Moveworks).
  • Strong command of CI/CD, test‑driven development (TDD), Infrastructure as Code, and Pipeline as Code, with automated testing and security embedded in pipelines.
  • Domain experience building applications across Compensation, Benefits, Payroll, or Time
  • Experience leading adoption of agentic AI‑enabled engineering practices across teams, including defining operating expectations and measuring outcomes.
  • Strong understanding of responsible AI use and control expectations in engineering workflows.

Responsibilities

  • Architects, builds, and operates custom, highly scalable applications on AWS using serverless design patterns, delivering mission‑critical Compensation, Benefits, Payroll, and Time capabilities.
  • Designs and runs multi-region active‑active applications engineered for continuous availability—resilient, self‑healing, and built to never go down—for a large, regulated, globally distributed enterprise
  • Leads hands‑on development across the full stack—Web, Mobile, and conversational chat—building robust services with Java and Spring Boot, Python, and modern front‑end frameworks, and setting standards for clean, secure, testable, and maintainable code
  • Drives AI‑native engineering: agentic development workflows, prompt and loop engineering, and AI‑assisted development with Claude Code, Copilot, or similar tools to accelerate delivery while maintaining strong controls
  • Builds MCP (Model Context Protocol) servers and custom agents that drive accurate, low‑latency interactions with conversational platforms such as Moveworks—engineered for high accuracy and no hallucinations through grounding, tool/function calling, and guardrails
  • Establishes and enforces modern engineering practices—CI/CD, test‑driven development (TDD), Infrastructure as Code, Pipeline as Code, automated security scanning, and observability
  • Manages and continuously innovates across a portfolio of applications, balancing rapid, iterative delivery with operational stability, security, and compliance‑by‑design
  • Champions secure‑by‑design development with guardrails appropriate for a highly regulated industry, supporting controls, statutory and tax considerations, segregation of duties, and access management
  • Partners with product, platform, and operations stakeholders to translate needs into pragmatic, high‑quality technical solutions; hires, mentors, and grows strong engineers; and champions the firm's culture of diversity, opportunity, inclusion, and respect
  • Sets direction and governance for agentic AI‑enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes, while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.

Skills

AWS serverless
Java/Spring Boot
Python
Full-stack dev
AI-native engineering
CI/CD
Security/compliance
Leadership
Multi-region architecture

Tools

Moveworks
Claude Code
Copilot
Docker
Kubernetes
GraphQL/REST
React/TypeScript

Job description

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.

As a Director of Software Engineering at JPMorgan Chase within Corporate Technology – HR, Pay & Time Technology, you provide deep, hands‑on technical leadership across multiple application teams while remaining close to the code. You set the engineering bar, architect and build highly scalable solutions, and drive relentless innovation—helping the firm remain at the forefront of industry trends, best practices, and technological advances.

In this role you design and build custom, highly scalable applications on AWS that power Compensation, Benefits, Payroll, and Time for the largest bank in the world. You lead engineering for a portfolio of applications that must never go down, blending modern serverless design, multi‑region active‑active resiliency, and AI‑native development to deliver continuously across Web, Mobile, and conversational interfaces.

Job responsibilities
  • Architects, builds, and operates custom, highly scalable applications on AWS using serverless design patterns, delivering mission‑critical Compensation, Benefits, Payroll, and Time capabilities
  • Designs and runs multi-region active-active applications engineered for continuous availability—resilient, self‑healing, and built to never go down—for a large, regulated, globally distributed enterprise
  • Leads hands‑on development across the full stack—Web, Mobile, and conversational chat—building robust services with Java and Spring Boot, Python, and modern front‑end frameworks, and setting standards for clean, secure, testable, and maintainable code
  • Drives AI‑native engineering: agentic development workflows, prompt and loop engineering, and AI‑assisted development with Claude Code, Copilot, or similar tools to accelerate delivery while maintaining strong controls
  • Builds MCP (Model Context Protocol) servers and custom agents that drive accurate, low‑latency interactions with conversational platforms such as Moveworks—engineered for high accuracy and no hallucinations through grounding, tool/function calling, and guardrails
  • Establishes and enforces modern engineering practices—CI/CD, test‑driven development (TDD), Infrastructure as Code, Pipeline as Code, automated security scanning, and observability
  • Manages and continuously innovates across a portfolio of applications, balancing rapid, iterative delivery with operational stability, security, and compliance‑by‑design
  • Champions secure‑by‑design development with guardrails appropriate for a highly regulated industry, supporting controls, statutory and tax considerations, segregation of duties, and access management
  • Partners with product, platform, and operations stakeholders to translate needs into pragmatic, high‑quality technical solutions; hires, mentors, and grows strong engineers; and champions the firm's culture of diversity, opportunity, inclusion, and respect
  • Sets direction and governance for agentic AI‑enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
  • 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 and support capacity unlock initiatives at scale.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • Deep, current, hands‑on expertise developing on AWS with serverless design patterns (e.g., Lambda, API Gateway, DynamoDB, EventBridge, Step Functions)
  • Expert in designing and operating multi‑region active‑active applications with high‑availability, resiliency, and disaster‑recovery patterns for systems that must never go down
  • Strong programming expertise in Java with the Spring Boot and broader Spring framework (e.g., Spring Cloud, Spring Security), and in Python with modern frameworks (e.g., FastAPI, Flask)
  • Modern full‑stack development across Web, Mobile, and conversational interfaces, including front‑end frameworks (e.g., React, TypeScript) and API‑first design using GraphQL and REST
  • Demonstrated experience with AI‑native development—agentic workflows, prompt engineering, and loop engineering—using tools such as Claude Code, Copilot, or similar
  • Experience building MCP servers and custom agents integrated with conversational/chatbot platforms (e.g., Moveworks), engineered for high accuracy and hallucination mitigation
  • Strong command of CI/CD, test‑driven development (TDD), Infrastructure as Code, and Pipeline as Code, with automated testing and security embedded in pipelines
  • Domain experience building applications across Compensation, Benefits, Payroll, or Time
  • Experience leading adoption of agentic AI‑enabled engineering practices (using enterprise‑authorized tools within the work environment) across teams, including defining operating expectations (human‑in‑the‑loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
Preferred qualifications, capabilities, and skills
  • Experience with microservices and event‑driven architecture using frameworks such as Spring Boot, Spring Cloud, and messaging/streaming platforms (e.g., Kafka)
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes) and GitOps‑based deployment on AWS
  • Experience integrating large vendor/payroll ecosystems and delivering end‑to‑end automation toward touchless processing
  • Experience evaluating and operationalizing emerging GenAI/agentic tooling with strong controls in an enterprise setting
  • Experience leading globally distributed engineering teams
  • Proven experience building secure code using guardrails appropriate for a highly regulated industry

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 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. Hands‑on Director of Software Engineering building always‑on apps for Comp, Benefits, Payroll & Time—serverless, multi‑region AI‑native

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