DevOps Engineer

Remote (United States)

This opportunity is for a DevOps Engineer with an AI-native, builder-focused mindset. The role is suited for an engineer who enjoys coding, experimenting, automating systems, and improving infrastructure end to end rather than simply maintaining deployment pipelines.

This position supports a fast-moving engineering environment focused on modern AI-assisted development workflows, distributed backend systems, compiler-like infrastructure, and rich web application experiences. The role sits at the intersection of infrastructure, software engineering, sales engineering, and AI-assisted operations.

Employment Type: Full-Time

Compensation: $150,000 – $250,000 annually, plus cash and equity compensation

What You’ll Do

• Design, deploy, and maintain cloud infrastructure, primarily in AWS
• Build and automate CI/CD pipelines and deployment systems
• Write code in Python, Go, or similar languages to improve internal tooling and operational workflows
• Manage and optimize Linux-based systems in production environments
• Configure and troubleshoot networking components, including DNS, firewalls, routing, and related infrastructure
• Implement monitoring, logging, and alerting systems
• Improve developer experience through better internal tooling and workflow automation
• Use AI tools such as Claude, ChatGPT, or similar platforms to accelerate operations and engineering workflows
• Continuously refine infrastructure for performance, reliability, and cost efficiency
• Manage bi-weekly release processes
• Work with sales engineering to improve customer onboarding and automation

Qualifications

• Strong experience with Linux systems and confidence working in terminal-based environments
• Solid understanding of networking fundamentals, including DNS, TCP/IP, firewalls, and load balancing
• Hands-on experience with AWS services such as EC2, VPC, IAM, S3, or similar cloud infrastructure components
• Experience deploying and managing production services
• Familiarity with Infrastructure as Code tools such as CDK, Terraform, CloudFormation, or similar platforms
• Experience with containers such as Docker, with Kubernetes or ECS experience preferred
• Ability to write code, not only configuration, and use code to manage infrastructure and solve operational problems
• Experience scripting and building tools to support automation and engineering workflows
• Experience with at least one programming language such as Python, Go, Rust, or similar
• Active use of AI tools to improve productivity and engineering output
• Curiosity about how AI can improve workflows, automation, debugging, and system operations
• Openness to experimenting with new tools, workflows, and technical approaches
• 3–5 years of solid experience in DevOps, software engineering, or computer engineering
• Senior-level DevOps experience is also relevant for candidates with 7–10+ years of experience
• Strong communication skills and ability to coordinate across teams to resolve issues
• Proactive mindset with the ability to identify and fix problems without waiting for direction
• Comfort working in fast-moving, ambiguous environments

Nice to Have

• Familiarity with observability stacks such as Prometheus, Grafana, or OpenTelemetry
• Experience working in startups or small engineering teams
• Open-source contributions or personal technical projects

Why This Role

• Work on real AI-driven products from day one
• High ownership and autonomy
• Opportunity to shape infrastructure and engineering culture
• Opportunity to work across other technical areas and develop new skills
• Collaborative environment with a small team that values builders and practical problem-solving

Benefits

• Competitive cash and equity compensation package
• Flexible work culture
• Unlimited time off plus 12 paid company holidays
• Health, dental, and vision insurance
• Life insurance
• FSA account options
• 401(k) retirement account options, including traditional, Roth, or both
• Quarterly team offsites