Lead Software Engineer - AWS RDS Postgres Database

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