DevOps Engineer

DevOps Engineer HuLoop Automation is an AI-powered Work Optimization platform based in Auburn, California. We help organizations eliminate broken work, automate manual processes, and scale operations without adding headcount. Our platform brings together productivity discovery, work orchestration, process automation, agentic operations, content processing, QuickApp building, and test automation. Through our Human-in-the-Loop approach, HuLoop's Intelligent Agents work alongside people to improve productivity, simplify operations, and support highly regulated industries including banking, credit unions, financial services, retail, and wholesale. We are seeking a hands-on DevOps Engineer to help scale, secure, automate, and stabilize HuLoop's cloud, hybrid, and customer-hosted environments. This role is critical to the reliability of our platform. The ideal candidate understands the importance of protecting production systems, managing change carefully, preventing repeat incidents, and ensuring that infrastructure, deployment, and configuration changes are thoroughly reviewed before release. You will work closely with Engineering, QA, Cloud Operations, Production Support, and Product Management to improve deployment reliability, system uptime, observability, security, scalability, vulnerability prevention, and release quality. This role is well suited for someone who can use AI tools to improve speed and productivity, while applying the experience and judgment required to validate outputs before they are used in production. Job Responsibilities: Build, maintain, and improve CI/CD pipelines across development, QA, staging, and production environments. Automate deployment, configuration, infrastructure provisioning, monitoring, and recovery processes. Support Microsoft Azure infrastructure, hybrid environments, and customer-hosted deployments. Support mixed operating system environments, including Ubuntu, Windows Server, and Red Hat Enterprise Linux. Improve platform stability, uptime, scalability, performance, elasticity, and operational resilience. Support Docker-based deployments and future container orchestration initiatives. Manage and improve infrastructure related to NGINX, TLS, routing, certificates, application services, APIs, and runtime components. Support deployment pipelines for Java, Tomcat, Spring Boot, Python, FastAPI, Angular, TypeScript, .NET, and containerized services. Improve release management through validation steps, smoke tests, deployment gates, rollback plans, and environment checks. Help prevent production issues by identifying risks before changes are deployed. Participate in incident response, troubleshooting, root cause analysis, and corrective action planning. Create and maintain runbooks, deployment documentation, operational procedures, and environment standards. Improve observability through better logging, monitoring, alerting, tracing, dashboards, and service health indicators. Support vulnerability prevention and remediation through scanning, dependency reviews, patching, secure configuration, and DevSecOps practices. Support secure secrets management, certificate management, access controls, and least-privilege operating practices. Support SOC 2 controls, audit readiness, customer security reviews, and operational evidence collection. Help ensure operational issues are documented, addressed, and not repeated. Use AI tools responsibly to accelerate scripting, troubleshooting, documentation, and analysis, while validating all outputs before production use. Desired Qualifications: 3 to 7+ years of experience in DevOps, Cloud Engineering, Infrastructure Engineering, Site Reliability Engineering, or Platform Engineering. Strong experience with Microsoft Azure environments. Experience building and managing CI/CD pipelines using GitHub, GitHub Actions, or similar tools. Hands-on experience with Docker and containerized deployments. Familiarity with container orchestration concepts. Experience with infrastructure automation and infrastructure-as-code tools. Strong working knowledge of Linux server operations, including Ubuntu and Red Hat Enterprise Linux. Working knowledge of Windows Server, Windows services, PowerShell, and enterprise Windows environments. Experience supporting mixed operating system environments across cloud, hybrid, and customer-hosted deployments. Experience with NGINX, TLS certificates, reverse proxy configuration, and web application routing. Experience supporting production SaaS applications. Strong understanding of cloud networking, monitoring, logging, operational security, and incident response. Scripting or automation experience using PowerShell, Python, Bash, JavaScript, or similar languages. Strong troubleshooting, documentation, and problem-solving skills. Sound judgment around production risk, change management, release readiness, and rollback planning. Ability to work cross-functionally in a fast-paced startup environment. Preferred Experience: Experience supporting AI, automation, workflow orchestration, RPA, or agent-based platforms. Experience with Java, Maven, Tomcat, Spring Boot, Python, FastAPI, .NET, Angular, and TypeScript environments. Experience with SQL Server, MongoDB, backup and restore processes, database connectivity, and performance monitoring. Experience with Azure Key Vault, managed identity, centralized secrets management, and least-privilege access. Experience with observability tools such as OpenTelemetry, Prometheus, Grafana, Application Insights, Datadog, New Relic, or similar platforms. Familiarity with RabbitMQ, Azure Service Bus, Temporal, or distributed task queue technologies. Experience with SBOMs, artifact signing, code signing, software supply chain security, and secure release practices. Experience supporting SOC 2, customer security reviews, vendor risk reviews, or regulated enterprise environments. Experience supporting banking, financial services, credit union, retail, or other regulated customer environments. Startup or high-growth SaaS company experience. Success Measures: Success in this role means: Deployments are safer, more consistent, and easier to roll back. Production incidents related to configuration, deployment, or environment issues are reduced. Repeat incidents are documented and prevented through process improvement, automation, monitoring, and runbooks. Infrastructure is more automated, repeatable, secure, resilient, and scalable. Vulnerabilities are identified and addressed earlier in the release process. Engineering teams have clearer deployment standards and better operational visibility. Customer environments are more stable, supportable, and secure. HuLoop is better positioned to scale across cloud, hybrid, and customer-hosted deployments. Why Join HuLoop? Help shape the future of AI-powered work optimization. Work on meaningful infrastructure, reliability, scalability, and security challenges. Support a rapidly growing AI and automation platform. Help modernize a platform serving enterprise and regulated customers. Be part of a collaborative, fast-moving, innovation-focused team. Equal Employment Opportunity Company: HuLoop is an Equal Employment Opportunity company that offers an excellent benefit package that includes Medical, Dental, Vision and 401K. The company also offers paid vacation, holidays, and sick time. HuLoop Automation