DevOps Engineer

Augeo Affinity Marketing, Inc. • Saint Paul, MN

3d

About The Position

Augeo’s DevOps Engineer supports the design, implementation, and continuous improvement of CI/CD pipelines, container infrastructure, cloud environments, and DevSecOps practices across the engineering organization. The role supports three technology ecosystems with distinct deployment and infrastructure needs: AWE (TypeScript, React, Node.js, and AWS), Encore (.NET, C#, and SQL Server), and ColdFusion platforms (Lucee, ColdBox, and MySQL). The engineer contributes to Augeo’s DevOps and DevSecOps roadmap, automates the software delivery lifecycle, and helps embed security into pipelines and infrastructure.

The engineer collaborates with engineering teams across all three platforms and applies AI-powered operations tools and agentic AI assistants to infrastructure provisioning, security scanning, incident response, deployment workflows, monitoring, and remediation. The role also participates in production reliability practices, including an on-call rotation and post-incident reviews.

The position operates in a professional office environment using standard office equipment. Local business-day travel is primary, although occasional out-of-area and overnight travel may be expected for team gatherings, client engagements, or executive off-sites.

Requirements

• 2–4 years of experience in DevOps, infrastructure engineering, or site reliability engineering.
• Familiarity with GitHub Actions, including workflow design, environment secrets, and integration with AWS deployment targets.
• Exposure to Podman for container image builds and management, including rootless containers and Podman Compose.
• Familiarity with Amazon ECS, including Fargate and/or EC2 launch types, task definitions, service configurations, and integration with ECR and CloudWatch.
• Some experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, or similar.
• Exposure to DevSecOps practices and tools for SAST, DAST, SCA, or container image scanning.
• Familiarity with secrets management solutions such as AWS Secrets Manager, HashiCorp Vault, or similar.
• Exposure to observability and monitoring tools such as CloudWatch, Prometheus, Grafana, Datadog, ELK stack, or New Relic.
• Willingness to learn the deployment and infrastructure needs of .NET/C#, Node.js/TypeScript, and ColdFusion/Lucee applications.
• Interest in AI agent development for automated incident response, runbook execution, and infrastructure self-healing workflows.
• Basic understanding of AWS networking fundamentals, including VPC design, security groups, NACLs, DNS, CDN, and load balancing.
• Four-year college degree in Computer Science, Information Technology, Cybersecurity, or a related field, or equivalent relevant experience; the degree is preferred.
• Ability to meet the physical demands described, including occasional lifting or moving of up to 20 pounds and the stated vision requirements.

Nice To Haves

• Prior mentorship or team-lead experience.
• Relevant certifications such as AWS Solutions Architect Associate, AWS Certified DevOps Engineer, Certified Kubernetes Administrator, CompTIA Security+, or similar.

Responsibilities

• Build and maintain GitHub Actions CI/CD pipelines for the AWE, Encore, and ColdFusion platforms, supporting reliable builds, tests, and deployments.
• Follow pipeline-as-code standards, managing workflows in version control with branching, approval gates, and environment promotion strategies.
• Automate build, test, and deployment processes to reduce manual work and time-to-production.
• Support containerized deployments using Podman and Amazon ECS, including image builds, registry management, task definitions, service configurations, and auto-scaling policies.
• Assist with provisioning and maintaining AWS cloud infrastructure using Infrastructure as Code tools.
• Write and maintain PowerShell scripts and automation tooling for infrastructure provisioning, configuration management, deployments, and operational tasks across Windows and Linux environments.
• Support automated security compliance checks and vulnerability remediation workflows, helping maintain SOC 2 Type II compliance and supporting PCI-DSS and other regulatory requirements as needed.
• Participate in infrastructure, pipeline, and deployment-configuration security audits and help identify and remediate vulnerabilities before production.
• Use AI-powered operations tools and agentic AI assistants for monitoring, anomaly detection, incident triage, capacity planning, and automated remediation.
• Help build and deploy AI agents to automate security scanning, deployment validations, log analysis, runbook execution, and infrastructure drift detection.
• Participate in incident response and production reliability practices, including on-call rotation and post-incident reviews.
• Collaborate with engineers across the three platforms on DevOps best practices and learn their deployment and infrastructure needs.
• Embrace Augeo’s CORE values: Collaborative, Objective, Responsive, and Earnest.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level