Infrastructure Engineer

Overland AI
Full_time$130k-225k/year (USD)Seattle, United States

📍 Job Overview

  • Job Title: Infrastructure Engineer
  • Company: Overland AI
  • Location: Seattle, WA
  • Job Type: On-site
  • Category: Infrastructure Engineering
  • Date Posted: 2025-06-21

🚀 Role Summary

Overland AI is seeking a hands-on Infrastructure Engineer to design, build, and maintain core systems that power their autonomous technology. This role is ideal for someone who enjoys working across the stack, from DevOps and networking to data pipelines and field deployments, and thrives in a fast-paced, field-test-forward environment.

💻 Primary Responsibilities

  • Design, build, and maintain infrastructure tools and systems that support development, deployment, and field operations.
  • Support DevOps, CI/CD pipelines, data ingestion, and distributed systems.
  • Set up and maintain networking infrastructure for field tests and deployments.
  • Work cross-functionally with autonomy, perception, and hardware teams to ensure systems are reliable, scalable, and performant.
  • Troubleshoot and resolve infrastructure issues both in the lab and in the field.
  • Contribute to documentation and operational tooling to improve team velocity.

🎓 Skills & Qualifications

Education: Relevant degree or equivalent experience in computer science, software engineering, or a related field.

Experience: 3–6 years of experience in software infrastructure, DevOps, or systems administration.

Required Skills:

  • Proficiency with tools like Docker, Kubernetes, Ansible, or similar orchestration/configuration frameworks.
  • Experience with cloud platforms (e.g., AWS, GCP) and Linux-based systems.
  • Strong understanding of networking concepts and experience managing real-world deployments.
  • Familiarity with logging, monitoring, and data management tools.
  • Comfortable working in a field-testing environment and solving problems on the ground.

Preferred Skills:

  • Experience with robotics, autonomy, or defense tech.
  • Exposure to infrastructure challenges in unreliable or bandwidth-constrained environments.
  • Prior involvement in test or demo environments for R&D-stage hardware/software.
  • Software development experience to support tooling and data management, e.g., Python, Rust, or TypeScript.

💰 Compensation & Benefits

  • Salary Range: $130K – $225K annually
  • Benefits:
    • Equity compensation
    • Best-in-class healthcare, dental, and vision plans
    • Unlimited PTO
    • 401(k) with company match
    • Parental leave

🎯 Team & Company Context

Industry: Defense and robotics

Company Size: Small (11-50 employees)

Founded: 2022

Team Structure:

  • Small, agile teams with a flat hierarchy and cross-functional collaboration.
  • Close-knit, mission-driven culture with a focus on field-test-forward development.

Development Methodology:

  • Agile/Scrum methodologies and sprint planning for web projects.
  • Code review, testing, and quality assurance practices.
  • Deployment strategies, CI/CD pipelines, and server management.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level Infrastructure Engineer

Reporting Structure: Directly reports to the CTO or a senior engineering manager.

Technical Impact: Significant influence on autonomous technology, user experience, and infrastructure decisions.

Growth Opportunities:

  • Work closely with autonomy, perception, and hardware teams to drive technical innovation and architecture decisions.
  • Contribute to the development of cutting-edge autonomous systems and field deployment strategies.
  • Grow into a senior engineering role or technical leadership position within the organization.

🌐 Work Environment

Office Type: On-site, collaborative workspace with a focus on cross-functional teamwork and knowledge sharing.

Office Location(s): Seattle, WA

Workspace Context:

  • Collaborative workspace with multiple monitors, testing devices, and development tools available.
  • Cross-functional team interaction and code review culture.
  • Flexible work schedule with deployment windows and maintenance considerations.

Work Schedule: Standard full-time work schedule with flexible hours for deployment windows and maintenance.

📄 Application & Technical Interview Process

Interview Process:

  • Step 1: Technical phone screen assessing problem-solving skills and infrastructure knowledge.
  • Step 2: On-site or video technical interview focusing on system design, architecture, and troubleshooting scenarios.
  • Step 3: Final evaluation criteria and technical impact discussion.

Portfolio Presentation Strategy:

  • Highlight relevant infrastructure projects, system design, and deployment strategies.
  • Demonstrate problem-solving skills and experience working in field-test environments.
  • Showcase familiarity with logging, monitoring, and data management tools.

Technical Challenge Preparation:

  • Brush up on networking concepts, cloud platforms, and infrastructure management tools.
  • Practice system design and architecture exercises with a focus on scalability, reliability, and performance optimization.
  • Prepare for behavioral questions focusing on problem-solving, teamwork, and adaptability in field-test environments.

ATS Keywords: (Comprehensive list provided in the output)

📌 Application Steps

To apply for this Infrastructure Engineer position:

  1. Submit your application through the application link.
  2. Tailor your resume to highlight relevant infrastructure experience, skills, and achievements.
  3. Prepare a portfolio showcasing your infrastructure projects, system design, and deployment strategies.
  4. Research Overland AI's mission, culture, and autonomous technology focus to demonstrate your fit for the role.
  5. Prepare for technical interviews by practicing system design exercises, studying relevant technologies, and brushing up on your problem-solving skills.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates should have 3–6 years of experience in software infrastructure, DevOps, or systems administration. Proficiency with tools like Docker, Kubernetes, and cloud platforms is essential, along with a strong understanding of networking concepts.