Lead Software Engineer: Cloud Infrastructure & Platform Engineering (Java, Python, Agentic AI)

JPMorgan Chase

New York (NY)

On-site

USD 157,000 - 215,000

Full time

7 days ago
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Benefits offered by this job

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

Job summary

JPMorganChase in New York, NY seeks a Lead Software Engineer (Vice President) to drive cloud platform capabilities, secure Java services, and AI-enabled workflows. You will operate at scale, emphasize reliability, and mentor teams across risk, cybersecurity, and compliance.

The role blends platform/infra engineering (50%), Java engineering (30%), and AI development (20%), with opportunities to influence enterprise pipelines and release practices.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on Java/J2EE and Python development experience, with strong depth in Spring Boot and REST API design
  • AWS platform/infrastructure engineering experience, including designing and operating cloud workloads
  • Hands-on experience operating Kubernetes in high-availability environments, including deployments and incident troubleshooting
  • Strong Infrastructure-as-Code experience with Terraform (modules, state management, secure provisioning practices)
  • Production support experience using observability/APM tooling (e.g., Splunk, Datadog, Dynatrace), including root‑cause analysis and reliability improvements
  • Experience with testing practices and frameworks (e.g., JUnit, Mockito) and performance testing tools (e.g., JMeter/BlazeMeter or equivalent)
  • Solid grounding in domain‑driven design, microservices patterns, resiliency patterns, and operating services under change/incident management controls
  • 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

Responsibilities

  • Lead the design, build, and day-to-day operation of cloud platform capabilities and production environments at scale, emphasizing resiliency, security, and reliability
  • Build and maintain secure Java (Java 17+) and Spring Boot services, including RESTful APIs, with strong code review and debugging
  • Implement Infrastructure-as-Code / Everything-as-Code using Terraform, including secure provisioning and policy controls where applicable
  • Enable and support safe release practices (e.g., rolling and blue/green deployments) for high‑availability, high‑scale services
  • Improve operational stability by eliminating recurring issues and automating remediation/runbooks where appropriate
  • Apply SRE‑aligned practices (SLIs/SLOs, error budgets, incident response) and participate in formal change and incident management processes
  • Use observability and APM tooling (e.g., Splunk, Datadog, Dynatrace) to monitor, troubleshoot, and improve production services
  • Deliver CI/CD in a "you build it, you own it" culture using Git and enterprise pipelines (e.g., Jules, Spinnaker, or similar)
  • Prototype and deliver AI‑enabled/agentic workflows (e.g., tool‑using agents, orchestration patterns, evaluation and guardrails) and translate stakeholder needs into technical designs
  • Mentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirements

Skills

Java/J2EE
Spring Boot
AWS
Kubernetes
Terraform
CI/CD
Observability/APM
AI-assisted development
Security & compliance
SRE practices

Education

Bachelor's degree in Computer Science or related

Tools

Git
Jules
Spinnaker
Splunk
Datadog
Dynatrace
Kubernetes (EKS)

Job description

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 Lead Software Engineer (Vice President) at JPMorganChase, within the Consumer and Community Banking you will be part of an agile team enhancing, building, and operating secure, stable, and scalable platform and software solutions for corporate functions including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office. This role is infrastructure‑first (approximately 50% platform/infra engineering), complemented by hands‑on Java engineering (approximately 30%) and AI/agentic development (approximately 20%).


Job Responsibilities


  • Lead the design, build, and day-to-day operation of cloud platform capabilities and production environments at scale, emphasizing resiliency, security, and reliability

  • Build and maintain secure Java (Java 17+) and Spring Boot services, including RESTful APIs, with strong code review and debugging

  • Implement Infrastructure-as-Code / Everything-as-Code using Terraform, including secure provisioning and policy controls where applicable

  • Enable and support safe release practices (e.g., rolling and blue/green deployments) for high‑availability, high‑scale services

  • Improve operational stability by eliminating recurring issues and automating remediation/runbooks where appropriate

  • Apply SRE‑aligned practices (SLIs/SLOs, error budgets, incident response) and participate in formal change and incident management processes

  • Use observability and APM tooling (e.g., Splunk, Datadog, Dynatrace) to monitor, troubleshoot, and improve production services

  • Deliver CI/CD in a \"you build it, you own it\" culture using Git and enterprise pipelines (e.g., Jules, Spinnaker, or similar)

  • Prototype and deliver AI‑enabled/agentic workflows (e.g., tool‑using agents, orchestration patterns, evaluation and guardrails) and translate stakeholder needs into technical designs

  • Mentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirements


Required qualifications, capabilities, and skills


  • Formal training or certification on software engineering concepts and 5+ years of applied experience.

  • Hands‑on Java/J2EE and Python development experience, with strong depth in Spring Boot and REST API design

  • AWS platform/infrastructure engineering experience, including designing and operating cloud workloads

  • Hands‑on experience operating Kubernetes in high‑availability environments, including deployments and incident troubleshooting

  • Strong Infrastructure-as-Code experience with Terraform (modules, state management, secure provisioning practices)

  • Production support experience using observability/APM tooling (e.g., Splunk, Datadog, Dynatrace), including root‑cause analysis and reliability improvements

  • Experience with testing practices and frameworks (e.g., JUnit, Mockito) and performance testing tools (e.g., JMeter/BlazeMeter or equivalent)

  • Solid grounding in domain‑driven design, microservices patterns, resiliency patterns, and operating services under change/incident management controls

  • 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


Preferred qualifications, capabilities, and skills


  • Experience with AWS services commonly used in modern platforms (e.g., ELB/ALB, Route 53, API Gateway, Lambda, ECS, managed caching such as Redis)

  • Experience implementing policy‑as‑code and guardrails for cloud/Kubernetes environments

  • Experience building platform \"golden paths\" (templates, paved roads, reusable modules) that accelerate application teams safely

  • Experience with secrets management tooling and patterns (e.g., rotation, least privilege, auditability) in regulated environments

  • Practical experience building or integrating AI/agentic workflows with measurable evaluation, safety controls, and monitoring in production‑like environments

  • Operate Kubernetes platforms (preferably Amazon EKS), including cluster operations, upgrades, deployment strategies, networking/ingress, configuration and secrets management, and troubleshooting in high‑availability environments


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.



  • 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


Base Pay/Salary

New York,NY $156,750.00 - $215,000.00 / year, Jersey City, NJ $156,750.00 - $215,000.00 / year


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