Golang / IaC / Terraform Lead Software Engineer

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 150,000 - 210,000

Full time

8 days ago

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Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Golang / IaC / Terraform Lead Software Engineer to drive scalable cloud-native solutions and secure, reliable product delivery.

You will mentor engineers, lead architecture discussions with stakeholders, and champion AI-assisted development practices across teams. The role requires leadership in agile environments, deep experience with Golang and Terraform, and a strong focus on operational stability and security.

Qualifications

  • Minimum 5+ years of software engineering experience with strong design, development, testing, and operational skills.
  • Experience delivering cloud-native solutions and maintaining security and reliability.
  • Experience delivering cloud-native software and scalable solutions.

Responsibilities

  • Design and implement scalable cloud-native software solutions.
  • Mentor junior and mid-level engineers through code reviews and workshops.
  • Develop secure, high-quality production code and review others' code.
  • Lead evaluation sessions with customers and partner teams on architecture and feasibility.
  • Drive AI-assisted engineering practices and ensure validation of AI outputs.
  • Leads evaluation sessions with customers and partner teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • 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.

Skills

Leadership
Mentoring
Agile methodologies
Team collaboration
Security & compliance mindset
Responsible AI practices
Leadership in software projects
SRE & production stability

Education

Formal training or certification in software engineering concepts

Tools

Golang
Terraform
CI/CD

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 Golang / IaC / Terraform Lead Software Engineer at JPMorganChase within the Consumer and Community Bank, 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
  • Design and implement scalable cloud native software solutions using modern technology stacks to deliver highly available, performant, and resilient products.
  • Mentor junior and mid-level engineers, providing guidance and support through code reviews and educational workshops.
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with customers and partner teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • 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.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) including Golang and Terraform.
  • Proficiency in testautomation and continuous delivery methods
  • Experience working in an agile environment employing software delivery practices such as CI & CD and Scrum
  • Experience leading software development projects
  • Experience in building and maintaining cloud native software solutions
  • Experience migrating complex applications to the public cloud (IaC developer, SRE and Acceleration roles)
  • 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
  • Advanced knowledge of managing Infrastructure as Code
  • Experience in designing and maintaining Api/event driven architectures
  • Experience in designing and maintaining reactive/event driven architectures
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