DevOps Engineer

DevOps Engineer

U.S. GenAI startup, Cambridge Office

Full-Time Employment with We . We are committed to building a transformative AI platform that revolutionizes software development. Our goal is to enable you to have a long, impactful career with us, with opportunity for advancement. If you want a role where you can shape the future of AI-powered infrastructure, read on!

About Us

We are a Boston, MA based Generative AI Start-up on a mission to automate custom software creation to unlock the next industrial revolution. We're building an AI-powered platform capable of autonomously generating enterprise-grade software, powered by thousands of cooperative AI agents working in concert.

We're backed by multiple tier 1 investors, have success as founders at our previous start-up, and hold dozens of Generative AI patents.

Location : 1 Kendall Square, Cambridge, MA (In-person role)

About the Role

We're looking for an exceptional DevOps Engineer to architect and maintain the infrastructure that powers our revolutionary AI agent ecosystem. You'll be instrumental in building scalable, resilient systems that support both our cutting-edge AI platform and modern applications. This role offers the unique opportunity to work at the intersection of traditional DevOps and emerging AI infrastructure, creating systems that enable thousands of AI agents to collaborate seamlessly.

As our DevOps Engineer, you'll take ownership of our entire infrastructure stack-from Kubernetes orchestration to AI agent deployment pipelines. You'll work directly with our engineering teams to ensure our platform can scale to support enterprise customers while maintaining the performance and reliability they demand.

What Success Looks Like

Architect and implement robust Kubernetes infrastructure that scales effortlessly to support our growing AI agent ecosystem

Create sophisticated CI / CD pipelines that enable rapid, reliable deployment of both traditional services and AI agents

Develop Python-based automation to eliminate manual tasks and accelerate development velocity

Design monitoring and observability systems for deep insights into both infrastructure and AI agent performance

Optimize cloud infrastructure for cost-efficiency while maintaining enterprise-grade reliability

Collaborate effectively with development teams to improve developer experience and productivity

Proactively identify and resolve infrastructure bottlenecks before they impact customers

Establish infrastructure best practices to support rapid growth

Build systems that handle the unique challenges of AI workloads at scale

Maintain 99.9%+ uptime for critical production services

Areas of Ownership

Core Infrastructure :

Kubernetes cluster design, deployment, and management for AI and application workloads

Infrastructure as Code using Terraform for multi-cloud environments

Container orchestration and optimization for AI agent deployment

Network architecture and security for distributed systems

Automation & Tooling :

Python-based automation scripts for infrastructure management

Helm chart development and maintenance for application deployment

CI / CD pipeline design using modern DevOps tools

Developer productivity tooling and automation

Monitoring & Reliability :

Comprehensive monitoring, alerting, and tracing systems

Performance optimization for AI workloads

Incident response and disaster recovery planning

Cost optimization and resource management

AI Infrastructure (Unique to Us) :

Infrastructure for AI agent orchestration and management

MLOps pipeline integration

Scalable systems for handling AI model deployment

Resource optimization for GPU / compute-intensive workloads

Required Technical Experience

5 8 years of DevOps / Infrastructure experience

Expert-level Python proficiency for automation and scripting

Deep Kubernetes expertise : deployment, scaling, troubleshooting, and optimization

Strong experience with Helm for application package management

Proven track record designing and implementing CI / CD pipelines

Hands-on experience with major cloud platforms (AWS, Azure, or GCP)

Terraform expertise for Infrastructure as Code

Strong Linux administration and containerization (Docker) skills

Experience with monitoring tools (Prometheus, Grafana, ELK stack)

Understanding of microservices architecture and distributed systems

Ways to Stand Out

CKA (Certified Kubernetes Administrator) or CKAD certification

Experience with MLOps tools (MLflow, Kubeflow, Ray, etc.)

Knowledge of AI / ML infrastructure requirements and optimization

Experience with GPU orchestration and management

API gateway and service mesh implementation (Istio, Linkerd)

GitOps experience (ArgoCD, Flux)

Experience scaling infrastructure for high-growth startups

Contributions to open-source infrastructure projects

Experience with multi-region, highly available deployments

Background in security and compliance (SOC2, HIPAA)

You'll Get

Competitive Salary

Comprehensive health, dental, and vision insurance

401(k) with company match

Flexible PTO policy

$5,000 annual professional development budget

Latest hardware and software tools

The opportunity to shape infrastructure for the future of software development

Work with cutting-edge AI technology and world-class engineers

Modern office in Cambridge's innovation hub

Regular team events and activities

The chance to solve novel infrastructure challenges at the intersection of DevOps and AI

Culture

Who we are : Our founding team consists of a Serial Gen AI Inventor and a successful Serial Entrepreneur. We work hard, maintain a curious mindset, and believe in a low-ego, high-output approach.

We move fast. Time is our most precious asset. We make decisions quickly and iterate rapidly, believing that a good decision today beats a perfect decision next week.

We have a Championship Mindset. We operate like a professional team-winning together by maintaining high standards, supporting each other, and staying laser-focused on our mission.

We have a Passion for Invention. As technologists pushing the boundaries of what's possible with AI, we thrive on solving problems that haven't been solved before.

What We Ask of You

This role requires someone who thrives in ambiguity and loves tackling unprecedented challenges. You'll be building infrastructure for a type of platform that's never existed before-one where thousands of AI agents collaborate to write software. This means being comfortable with rapid change, continuous learning, and creative problem-solving.

You should be excited about working independently while collaborating in-person with our team at our Cambridge headquarters. The ability to communicate complex technical concepts clearly and work effectively with both technical and non-technical stakeholders is essential.

To Apply

Apply with your resume and a brief note about :

Your most challenging infrastructure project and how you solved it

Why you're excited about building infrastructure for AI-powered software development

Interview Process

Here's what you can expect :

Initial screening call (30 minutes)

Technical discussion with our team (45 minutes)

Deep dive system design (60 minutes)

Final conversation with leadership (45 minutes)

Offer discussion

We are an equal opportunity employer committed to building a diverse and inclusive team.