Platform Engineer

Job Description

We're looking for a Platform Engineer to own and evolve the infrastructure that powers a fast-moving, AI-native SaaS product used by real government customers with zero tolerance for downtime. This role sits at the intersection of reliability, developer experience, and scale.

You will be the person who keeps the foundation solid while the product grows quickly. That means owning cloud infrastructure, improving deployment pipelines, and making sure the engineering team can ship with confidence. This is not a corporate IT role. It is a hands-on, high-ownership position at a small startup where your decisions have direct and visible impact.

If you thrive in ambiguous environments, know how to prioritize without being told twice, and want your infrastructure work to matter to real users, this role is a strong fit.

Why You'll Want to Join

• You will be paid in USD (bi-monthly: every 15th and 30th)
• Paid Time Off in accordance with company policy
• Observance of Holidays per company guidelines
• 100% remote setup so you can work wherever you're most productive
• Work on a product that is actively used and trusted by government agencies
• High ownership, low bureaucracy, and direct access to engineering leadership
• Opportunity to shape infrastructure from the ground up at an early-stage company

What You'll Work On

Cloud Infrastructure

• Own and manage AWS infrastructure across all environments
• Write and maintain infrastructure as code using Terraform
• Ensure environments are reliable, secure, and cost-efficient
• Design and implement infrastructure changes that support product growth

CI/CD and Developer Experience

• Build and maintain deployment pipelines that let engineers ship quickly and safely
• Reduce friction in the development workflow without sacrificing reliability
• Automate repetitive operational tasks and eliminate manual toil
• Support engineers with clear runbooks and infrastructure documentation

Reliability and Security

• Monitor system health, set up alerting, and respond to incidents
• Implement and maintain security best practices across cloud infrastructure
• Own backup, recovery, and disaster preparedness processes
• Proactively identify and address reliability risks before they become incidents

AI-Assisted Operations

• Actively use AI tools to improve infrastructure workflows, automation, and debugging
• Stay current on how AI is changing platform engineering practices and apply it in real work

What You Bring

• Hands-on experience with AWS across core services (EC2, RDS, S3, Lambda, ECS, VPC, IAM, and similar)
• Strong proficiency with Terraform for infrastructure as code
• Experience building and maintaining CI/CD pipelines
• Genuine, practical experience using AI tools in your engineering workflow, not just awareness of them
• Prior experience working at a US-based small startup, with a real understanding of what ambiguity and limited resources look like in practice
• Ability to operate independently, prioritize without hand-holding, and make sound decisions under uncertainty
• Clear written and verbal communication with both technical and non-technical teammates

Nice to Have

• Experience with container orchestration (ECS, Kubernetes)
• Familiarity with observability tooling (Datadog, Grafana, CloudWatch)
• Exposure to compliance or security frameworks relevant to government or regulated environments
• Experience supporting a product through early growth stages

How to Apply

Please include:

1. Your updated resume
2. A short 1 to 2 minute Loom video introducing yourself, describing a piece of infrastructure you owned end-to-end, and giving a concrete example of how you use AI in your engineering work

Only candidates who submit a Loom video will be considered.

If you enjoy owning infrastructure, solving hard reliability problems, and building the foundation that lets a product team move fast, this role offers real ownership, a lean environment, and work that directly affects a product people depend on.

Application Process Overview

Our comprehensive selection process ensures we find the right fit for both you and our clients:

1. Initial Application - Submit your application and complete our prequalifying questions
2. Video Introduction - Record an video introduction to showcase your communication skills and work experience
3. Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)
4. Recruitment Interview - Initial screening with our talent team
5. Executive Interview - Meet with senior leadership to discuss role alignment
6. Client Interview - Final interview with the client team you'd be supporting
7. Background & Reference Check - Professional reference verification
8. Job Offer - Successful candidates receive a formal offer to join the team

Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.