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AWS DevOps Engineer; Freelancer

Job in Northern, Floyd County, Kentucky, USA
Listing for: Far Coder
Full Time, Contract position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AWS, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 90 - 180 USD Hourly USD 90.00 180.00 HOUR
Job Description & How to Apply Below

Mactores is hiring a remote candidate for AWS Dev Ops Engineer (Freelancer). This is a contract position.

Work location:

USA. The role typically involves technologies such as Kubernetes, Terraform, CI/CD, Go, AWS, Azure. 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 Dev Ops 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.

What

you will do?
  • Automate infrastructure creation using Terraform and AWS Cloud Formation.
  • 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 Sage Maker.
  • Build our CI pipeline, and train and guide the team in Dev Ops practices.
What are we looking for?
  • 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.
  • You will be preferred if Expertise across multiple cloud providers:
    Amazon Web Services, Microsoft Azure, Google Cloud Platform.
  • AWS Solutions Architect Professional or Associate certification.
  • AWS Dev Ops Professional certification.
How we work?

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…

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