Sr. Cloud / DevOps Engineer

About Algebra

Algebra builds and operates AI-powered workflows for mid-market companies as a managed service. We identify high-value operational processes, design AI systems to run them, and own the outcome end to end. We are not consultants. We do not sell software licenses. We are the accountable operator.

The Role

This is a senior infrastructure and engineering operations role with no large team below you. You will own the cloud, deployment, security, and reliability foundation behind the AI workflows Algebra builds for clients.

You will design the deployment architecture, own cloud infrastructure, improve CI/CD, harden environments, set up monitoring, and make sure what we build can actually run in production.

This is a builder role. You will not inherit a mature platform with perfect documentation and fixed processes. You will create the standards, patterns, and systems that allow Algebra to scale from individual client deployments into a repeatable operating model.

What You'll Do

Cloud Infrastructure

• Own Algebra’s cloud infrastructure across internal products, client deployments, and AI workflow environments
• Design secure, scalable deployment architecture for production systems
• Build and maintain infrastructure-as-code, environment templates, and repeatable deployment patterns
• Manage staging, production, and client-specific environments
• Make practical decisions across cloud architecture, cost, scalability, security, and delivery speed
• Support deployment across cloud providers or client infrastructure where required

DevOps and Release Management

• Own CI/CD pipelines across backend services, workflow systems, and AI agent deployments
• Improve release processes so engineers can ship faster without breaking production
• Create deployment standards for new client implementations
• Automate manual operational processes wherever possible
• Manage secrets, environment variables, access controls, build pipelines, and release workflows
• Work closely with backend and AI engineers to make deployment a product strength, not a bottleneck

Reliability and Observability  

• Build monitoring, logging, alerting, and incident visibility into production systems
• Set up health checks, uptime monitoring, error tracking, and performance dashboards
• Create operational runbooks for deployments, incidents, rollback, and client support
• Identify reliability risks before they become client problems
• Improve system resilience, recovery processes, and production readiness
• Help move the company from “it works” to “it is stable, observable, and supportable”

Engineering Systems

• Create reusable infrastructure patterns for future client deployments
• Build the technical operating model for how Algebra deploys, monitors, and supports AI workflows
• Improve developer experience across local development, staging, testing, and production release
• Identify technical debt in the infrastructure layer and fix it before it compounds
• Work across product, engineering, and delivery teams to make sure systems are not just built, but actually operable

What We're Looking For

• 10+ years of experience across cloud infrastructure, DevOps, platform engineering, or site reliability engineering
• You have owned production infrastructure for real systems, not just supported pipelines
• Strong experience with at least one major cloud provider: AWS, Azure, or GCP
• Strong experience with CI/CD, Docker, containers, infrastructure-as-code, deployment automation, and environment management
• You know how to build observability into systems: logging, monitoring, alerting, tracing, and incident response
• You can design infrastructure that balances speed, security, cost, reliability, and client requirements
• You can work directly with engineers, founders, and client-facing