AWS GovCloud)

FutureFeed•Baltimore, MD

1d•$125,000 - $175,000•Remote

About The Position

FutureFeed is seeking a senior engineer to build features end-to-end across their Rails/PostgreSQL backend, React and Next.js frontends, and AWS GovCloud infrastructure. This is a hands-on role where the engineer will work directly with a small, senior team, write production code daily, and contribute to architecture, tooling, and deployment processes. FutureFeed provides a compliance platform for organizations to safeguard U.S. government-sensitive information, serving over 1,200 clients. They emphasize the use of AI tools in their development workflow and product, expecting engineers to be fluent with these tools and to understand the underlying technical details rather than relying solely on AI-generated solutions.

Requirements

8+ years building production web applications.
At least 3 years in Ruby on Rails.
Strong frontend experience in React, Next.js, or both.
Deep expertise in primary part of the stack.
Real database fluency: query plans, indexing, transactions, migrations on live systems.
AWS production experience (any region; GovCloud is a plus, not a prerequisite).
Ability to debug across the stack — frontend network errors, backend N+1s, container networking, IAM.
Comfort working with AI coding tools as a force multiplier and explaining every decision they help you make.
Strong written communication — async-first team, decisions live in tickets and PRs.
U.S. citizen or lawful permanent resident (green-card holder) residing in the United States.
Employment is contingent on a background check.

Nice To Haves

Microsoft Graph integrations (Intune, Defender, Entra) — much of our compliance evidence collection runs through Graph.
AWS GovCloud, ECS, Bedrock production experience.
Background in compliance, security, or regulated SaaS.
Familiarity with CMMC, NIST 800-171, or FedRAMP.

Responsibilities

Build features end-to-end across Rails/PostgreSQL backend, React and Next.js frontends, and AWS GovCloud infrastructure.
Write production code daily.
Contribute meaningfully to architecture, tooling, and deployment processes.
Debug across the stack, including frontend network errors, backend N+1s, container networking, and IAM.
Work with AI coding tools as a force multiplier and explain every decision they help make.