Software Engineering III

JPMorganChase

Jersey City (NJ)

On-site

USD 120,000 - 190,000

Full time

5 days ago
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Job summary

JPMorganChase is seeking a Software Engineer III in New Jersey to join an agile team delivering trusted market-leading tech in a secure, scalable way. You will build production-grade code in Python/Terraform on AWS, drive automation, and shape architectures with governance and risk considerations.

You will lead AI-assisted development practices, ensure proper verification of outputs, and collaborate with SRE, security, and controls teams to meet firm standards and controls.

Qualifications

  • Formal training or certification on software engineering concepts and 4+ years applied experience.
  • Hands-on AWS development including database services and supporting infra.
  • Strong Python and Terraform skills for production automation and IaC.
  • Advanced knowledge of AWS compute, containers, serverless and database integration.
  • Experience using AI-assisted tools with verified outputs and security compliance.
  • Knowledge of secure handling of inputs/outputs and data sensitivity in AI workflows.
  • Experience with Jira/Bitbucket/Confluence and common IDEs (IntelliJ/VS Code).
  • Familiarity with SQL/NoSQL in managed AWS data services; performance and troubleshooting.

Responsibilities

  • Implement key components of a cloud platform on AWS with secure, scalable delivery.
  • Develop production-grade Python code and infrastructure automation; review peers' code.
  • Influence design decisions and align with SDLC, security, and controls.
  • Collaborate with operations, SRE, security, risk, and controls teams to deliver compliant solutions.
  • Drive CI/CD improvements and automated testing to speed delivery.
  • Promote AI-assisted engineering while enforcing validation standards and governance.
  • Utilize enterprise toolchains and AI features for productive automation.
  • Use AI tools like Copilot with proper verification before production use.
  • Define safe AI usage patterns and ensure reviews occur before merge and release.

Skills

Python
Terraform
AWS
CI/CD
Secure coding
Agile
AI-assisted dev tools
Code review
SQL/NoSQL
Team collaboration

Tools

Jira
Bitbucket
Confluence
IntelliJ IDEA
Visual Studio Code
GitHub Copilot
Microsoft Copilot

Job description

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the [insert LOB or sub LOB], you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities
  • Implementation of key components of a public cloud platform, primarily on AWS.
  • Develop secure, high-quality production code and infrastructure automation (primarily in Python and Terraform), and review and debug code written by others to ensure correctness, performance, and maintainability.
  • Influence product design, application functionality, and technical operations within the team and domain by proposing pragmatic architectures, tradeoffs, and standards aligned to firm SDLC, security, and controls expectations.
  • Partner with operations, SRE, security, risk, and controls stakeholders to deliver compliant solutions, improve observability, reduce operational toil, and ensure audit-ready processes and artifacts.
  • Drive automation and CI/CD improvements, including pipeline reliability, quality gates, testing strategy, and repeatable environment provisioning to support safe and fast delivery.
  • 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.
  • Use AI-assisted developer tools, including GitHub Copilot and Microsoft Copilot, to accelerate routine engineering tasks (for example, scaffolding, small utilities, repetitive patterns, test generation, refactoring suggestions, and first-pass documentation), while ensuring all outputs are validated and refined to meet production and security standards.
  • Define and reinforce safe team usage patterns for AI-assisted development, including verification expectations (correctness, security implications, licensing/IP considerations, and compliance) and adherence to firm controls (for example, avoiding sensitive data in prompts and ensuring reviews and approvals occur before merge and release).
Required Qualifications, Capabilities, And Skills
  • Formal training or certification on software engineering concepts and 4+ years applied experience
  • Hands-on practical experience in developing and designing software on AWS, with meaningful hands‑on experience delivering solutions involving AWS database services and the infrastructure that supports them.
  • Strong, practical proficiency in Python and Terraform, including building and maintaining production‑grade automation and infrastructure as code.
  • Advanced working knowledge of AWS services across traditional compute, containerized workloads, and serverless architectures, and how these patterns integrate with database services and platform guardrails.
  • 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
  • Working experience with engineering toolchains including Jira, Bitbucket, and Confluence, and day‑to‑day development in IntelliJ IDEA and Visual Studio Code.
  • Practical experience with SQL and/or NoSQL concepts as applied to managed AWS database services (for example, data modeling, performance considerations, availability patterns, backup/restore approaches, and operational troubleshooting).
  • Practical familiarity with AI‑assisted coding tools, including GitHub Copilot and Microsoft Copilot, including effective prompting for engineering tasks and disciplined verification of outputs before use in any code or infrastructure configuration.
  • Clear understanding of responsible and approved AI tool usage, including adherence to firm controls, avoiding sensitive or confidential data in prompts, and applying engineering judgment to validate correctness, security posture, and compliance expectations.
Preferred Qualifications, Capabilities, And Skills
  • Experience influencing decisions across adjacent teams within the domain (for example, platform consumers, SRE/ops partners, or security/control partners) through clear technical proposals and collaborative execution.
  • Prior experience with Amazon RDS (e.g., RDS SQL Server, PostgreSQL) is preferred.
  • Experience building reusable Terraform modules and standardized infrastructure patterns, including guardrails, policy‑aligned defaults, and composable platform building blocks.
  • Experience operating AWS database platforms at scale, including monitoring/alerting design, performance and capacity management, backup/restore validation, and availability/failover considerations.
  • One AWS certification preferred (for example, Solutions Architect, Developer, or Data Engineer), and Terraform Certified Associate certification preferred.
  • Demonstrated use of Copilot in team workflows to improve delivery outcomes (for example, accelerating test coverage, refactoring, documentation/runbook drafting), with a strong understanding of LLM limitations and risks (for example, hallucinations, security concerns, and licensing/IP considerations) and consistent verification practices.
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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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