DevOps Engineer, Sr

About The Company
Stack AI is at the forefront of innovation, building advanced infrastructure that intersects artificial intelligence and enterprise solutions. Our mission is to enable organizations to deploy AI technologies safely, securely, and at scale, transforming how businesses leverage AI capabilities. As a rapidly growing company, we are committed to fostering a collaborative environment where cutting-edge technology and strategic thinking drive our success. Our team is dedicated to pushing the boundaries of what is possible with AI and infrastructure, creating impactful solutions for our clients across various industries.

About The Role
We are seeking a highly skilled Senior DevOps Engineer to join our dynamic team. In this hands-on role, you will be responsible for designing, building, and maintaining the foundational infrastructure that supports our AI-powered platform. You will work closely with engineering teams to ensure that our deployment pipelines, cloud environments, and operational processes are optimized for scalability, security, and reliability. The ideal candidate will have extensive experience with cloud services, container orchestration, and automation tools, and will play a key role in shaping our DevOps strategies as we continue to grow. This position offers an excellent opportunity to work at the intersection of AI and infrastructure, impacting how our platform evolves and scales.

Qualifications

• 5+ years of experience in DevOps, Cloud, or Infrastructure engineering
• Strong expertise with Kubernetes, Terraform, Docker, and Infrastructure as Code (IaC)
• Hands-on experience with cloud providers such as AWS, Azure, and GCP
• Proficiency in CI/CD pipelines using tools like GitHub Actions, Azure DevOps, or GitLab CI
• Solid scripting skills in Python, Bash, or similar languages
• Experience with monitoring and observability tools such as Grafana, Prometheus, and Datadog
• Excellent problem-solving and communication skills
• Ability to thrive in a fast-paced startup environment

Responsibilities

• Design, implement, and maintain scalable, secure, and cost-efficient cloud infrastructure
• Manage and optimize containerized applications in Kubernetes, including deployment, scaling, monitoring, and troubleshooting
• Drive Infrastructure as Code practices to standardize and automate environment provisioning and management
• Architect and maintain CI/CD pipelines to facilitate rapid, reliable deployments with zero downtime
• Implement monitoring, logging, and alerting systems to ensure high observability and proactive issue resolution
• Collaborate with engineering teams to improve system architecture and accelerate deployment cycles
• Explore new tools and workflows to continuously improve DevOps practices and infrastructure reliability
• Ensure compliance with security standards and best practices across all systems and processes

Benefits

• Opportunity to work at the cutting edge of AI and infrastructure technology
• Influence the foundation of our cloud and DevOps practices
• Join a small, fast-moving team where your contributions have immediate impact
• Hybrid work flexibility with in-person collaboration in San Francisco or remote work options
• Competitive salary range of $130,000 to $210,000 per year, commensurate with experience
• Professional development opportunities and a collaborative work environment
• Access to innovative projects at the intersection of AI and enterprise solutions

Equal Opportunity

Stack AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, disability, or any other protected status. We believe that diverse perspectives foster innovation and are essential to our success.