Systems Integration Engineer with Security Clearance

This is a direct hire role with a strong comp package up to $190K, hybrid flexibility out of the DC/Arlington area, and a chance to join a team that's genuinely doing cutting-edge work — not just talking about it.  This team also has openings for DevOps/DevSecOps Engineers, Agentic AI Machine Learning Engineers, and Cyber Machine Learning Engineers!

Role Overview

This team sits within a National Security-focused Disruption Cell at one of the country's premier defense and technology consulting firms. They build proprietary AI and cyber products — from the ground up — and deliver them to commercial and federal clients. Right now they're deep in agentic AI, counter-AI defensive cyber, and ML-driven threat solutions. Think agent blueprints, reusable agentic frameworks, and real-time ML models built to detect and block emerging AI-based threats. As a Systems Integration Engineer, you'd be the forward-deployed technical force connecting these products into client environments — owning integrations end-to-end, not inheriting someone else's half-finished work.

Role Highlights

• Position: Systems Integration Engineer
• Location: Arlington, VA / Washington, DC (Hybrid — ~2 days/week in office)
• Job Type: Direct Hire — Full-Time
• Compensation: $150,000 – $190,000 (based on experience, top of band reserved for elite candidates)
• Clearance: Clearable candidates welcome — work begins while clearance is processing
• Interview Process: 30-min technical screen, then a 1.5–2-hour panel interview & offer within 24 hours

Key Responsibilities

• Own API integrations end-to-end — REST, webhooks, and authentication flows
• Build prototype applications in Python or Go to validate and deliver integration approaches
• Implement and maintain CI/CD pipelines and deployment automation
• Troubleshoot distributed systems across logs, metrics, and integration layers
• Operate in AWS (primary) and other major cloud environments in a production capacity
• Serve as a forward-deployed engineer — taking internal products and integrating them into client environments

Technical Skills:

• API integrations — REST, webhooks, authentication flows
• Python or Go for application and prototype development
• CI/CD pipeline design and implementation
• Cloud production environments — AWS preferred, Azure/GCP welcome
• Distributed systems troubleshooting

Key Requirements:

• 3+ years navigating complex customer environments and implementing requirements
• 2+ years of API integration experience
• 2+ years building applications in Python or Go
• 1+ year CI/CD pipeline experience
• Ability to troubleshoot across distributed systems, including logs, metrics, and debugging integration issues
• Ability to obtain a Secret clearance — US Citizenship required
• Bachelor's degree required (exceptions considered for exceptional candidates)

Preferred Skills

• Experience in a Solutions Engineer or Implementation Engineer capacity
• Infrastructure-as-Code — Terraform, CloudFormation, or Pulumi
• Identity providers and auth protocols — Okta, Auth0, Azure AD, OAuth2, SAML, OIDC
• Event-driven architectures — Kafka, SNS/SQS, Pub/Sub
• Networking fundamentals — DNS, TLS, load balancing, firewalls