DevOps Engineer

About the Role

We are seeking a DevOps Engineer to join our Cloud Platform team and help build the infrastructure and tooling that powers our engineering organization.

In this role, you will focus on automation, CI/CD, and cloud infrastructure, enabling teams to build, deploy, and operate services reliably and efficiently. You will play a key role in creating paved paths and self-service tooling that improve developer velocity while maintaining high standards for reliability, security, and performance.

You will work closely with the Cloud Platform, SRE, and Data Engineering teams in a fast-paced environment where systems are built and tested in real-world conditions.

Key Responsibilities

Automation & Platform Enablement

• Build and maintain CI/CD pipelines that support the full software development lifecycle
• Develop self-service tooling and standardized workflows for deployment and operations
• Improve developer experience through automation, documentation, and engineering best practices
• Help establish scalable platform capabilities that accelerate engineering teams

Cloud Infrastructure & Operations

• Implement and manage cloud infrastructure using Infrastructure as Code
• Deploy and support containerized workloads using Docker and Kubernetes
• Maintain and improve development, staging, and production environments
• Partner with Cloud Platform and SRE teams to ensure systems are scalable, reliable, secure, and cost-efficient

Reliability, Observability & Security

• Implement observability solutions across logging, metrics, tracing, and alerting
• Participate in incident response, root cause analysis, and continuous improvement efforts
• Implement secure CI/CD pipelines, secrets management, and access controls
• Contribute to operational readiness, reliability practices, and infrastructure resilience

Cross-Functional Collaboration

• Partner with engineering teams to support deployment, infrastructure, and operational needs
• Troubleshoot infrastructure, deployment, and runtime issues across environments
• Contribute to platform standards, technical documentation, and engineering best practices
• Help improve engineering workflows through automation and collaboration

Qualifications

• 3+ years of experience in DevOps, infrastructure, cloud platform, or related engineering roles
• Strong experience with CI/CD systems and deployment automation
• Hands-on experience with Docker and Kubernetes
• Experience managing cloud infrastructure, preferably AWS
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation
• Experience operating production systems with monitoring, logging, and alerting
• Proficiency in scripting or programming languages such as Python, Bash, or Go
• Solid understanding of Linux systems and networking fundamentals
• Strong problem-solving skills and ability to work in a fast-paced environment
• Strong written and verbal communication skills
• U.S. citizenship and ability to obtain and maintain a U.S. Government security clearance if required

Preferred Skills

• Experience working on a cloud platform or internal developer platform
• Familiarity with Site Reliability Engineering (SRE) practices, including SLIs, SLOs, and error budgets
• Experience supporting data pipelines or analytics infrastructure
• Knowledge of cloud security best practices
• Experience optimizing cloud costs and infrastructure efficiency
• Background supporting high-reliability, defense, or regulated environments
• Experience working in small, fast-moving engineering teams or high-growth technology companies
• Active or prior security clearance

What Success Looks Like

Within 12 months, success in this role looks like reliable, scalable CI/CD pipelines and deployment workflows that are broadly adopted across engineering teams. You will have improved developer velocity through automation and self-service tooling while strengthening observability, operational readiness, and incident response.

You will also have helped reduce operational toil, improve infrastructure reliability, and build cloud platform capabilities that scale alongside HavocAI's engineering and product organizations.