AWS DevOps Engineer (Freelancer)

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

This freelance role sits in our infrastructure modernization work under the Application & Database Modernization pillar: moving legacy infrastructure and large enterprise workloads to AWS, and making the resulting platforms boring to operate. Customers come to us with hand-built environments, release cycles that depend on heroics, and big data workloads that outgrew their monitoring years ago. You'll work as a hands-on DevOps engineer on customer deployments, Infrastructure as Code, CI/CD, automated monitoring — for enterprise applications, customer applications, and big data workloads. Aedeon absorbs the discovery and validation grind; your billed hours go to the automation and reliability engineering that gets releases out and keeps them out. It's client-facing work: you set customer expectations and then meet them.

Automate infrastructure creation using Terraform and AWS CloudFormation. Run application configuration management and enable Infrastructure as Code through deployment tools. Own and manage the build and release cycle for customer projects. Share responsibility for deploying releases and other operations and maintenance activities. Improve operations infrastructure: Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana. Provide operational support for the engineering team and help migrate legacy infrastructure to the cloud. Establish and enforce operational best practices, including monitoring for automated system health checks. Build scalable infrastructure for data platforms-Amazon EMR, Redshift, and SageMaker. Build our CI pipeline, and train and guide the team in DevOps practices.

4+ years of experience using Terraform for IaaC. 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process. 4+ years of Linux or Windows administration experience. 4+ years with version control systems (git), including branching and merging strategies. 2+ years of experience working with AWS infrastructure and platform services. 2+ years of experience with cloud automation tools (Ansible, Chef). Exposure to container services on AWS: Kubernetes, ECS, and EKS. A proactive eye for what can be made more reliable — and the follow-through to make it so.

Expertise across multiple cloud providers: Amazon Web Services, Microsoft Azure, Google Cloud Platform. AWS Solutions Architect Professional or Associate certification. AWS DevOps Professional certification.

We run a forward-deployed model: engineers embed with delivery teams, own their piece of the outcome, and ship against committed dates. This is a remote freelance engagement, so we'll be straight about the shape: you work project-by-project inside that model, with Aedeon absorbing the repetitive layer so your time goes to infrastructure judgment, not checklist work. You'll work independently, coordinate closely with the engagement team, and your automation will carry production traffic for named customers.

laptop-ats-crawler v3