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28d ago

Lead Software Engineer - AWS RDS Postgres Database

JPMorganChase Plano, TX

Plano, TX

28d ago

Full time Backend Developer Amazon Web Services Cloud Operations

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Job Description

A focused Lead Software Engineer role concentrating on the AWS database platform (Postgres and RDS SQL Server) within JPMorgan Chase’s Cloud Foundation Services, based onsite in Plano, TX, driving end-to-end design, build, and operations while pushing AI-assisted development and CI/CD improvements.

Responsibilities

Design and deliver major components of the AWS database platform and enabling infrastructure, from requirements through build, testing, release, and steady-state operations.
Create secure, production-grade code and infrastructure automation (primarily using Python and Terraform); review peers’ work to ensure correctness, performance, and maintainability.
Influence product design and operational practices by proposing pragmatic architectures, tradeoffs, and standards aligned to the firm SDLC, security, and controls expectations.
Partner with operations, SRE, security, risk, and controls teams to deliver compliant solutions, improve observability, reduce toil, and maintain audit-ready artifacts.
Advance automation and CI/CD initiatives, focusing on pipeline reliability, quality gates, testing strategy, and repeatable environment provisioning to enable safe and fast delivery.
Lead adoption of enterprise authorized AI-assisted engineering practices to enhance code quality, delivery speed, and operational outcomes, establishing validation standards and promoting reuse of effective patterns across the team.
Apply knowledge of the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation value.
Utilize AI-assisted developer tools (GitHub Copilot and Microsoft Copilot) to accelerate routine tasks while ensuring outputs meet production and security standards through validation and refinement.
Define and reinforce safe AI usage patterns within the team, including verification expectations, data handling considerations, licensing/IP awareness, and compliance with firm controls before merges and releases.

Requirements

Formal software engineering training or certification with 5+ years of applied experience.
4+ years of hands-on software development and design on AWS, including solutions that leverage AWS database services and the supporting infrastructure.
Strong practical skills in Python and Terraform, with a track record of production-grade automation and infrastructure as code.
Advanced working knowledge of AWS services across compute, containerized workloads, and serverless models, and how these patterns integrate with database services and platform guardrails.
Experience leading the effective use of AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Solid understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, resiliency, and security; experience coaching engineers on safe, compliant adoption.
Working experience with Jira, Bitbucket, and Confluence, plus 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 (data modeling, performance, availability patterns, backup/restore approaches, and operational troubleshooting).
Familiarity with AI-assisted coding tools (GitHub Copilot, Microsoft Copilot), including effective prompting and disciplined verification of outputs before they are used in code or infrastructure configuration.
Clear understanding of responsible and approved AI tool usage, adherence to firm controls, and applying engineering judgment to validate correctness, security posture, and compliance expectations.

Technologies

Python
Terraform
AWS
PostgreSQL
RDS
SQL Server
GitHub Copilot
Microsoft Copilot
Jira
Bitbucket
Confluence
IntelliJ IDEA
Visual Studio Code

Benefits

Commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity)
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

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1mo ago

Data Engineer, WW Pricing - Data & Analytics

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

$132k - $179k/yr Full time Amazon S3 Analytics AWS

This position is no longer accepting applications (closed Jul 3, 2026).