AWS DevOps Engineer (Freelancer)

Far Coder; Northern (KY); Hybrid; USD 124,000 - 248,000; Part time

Job summary

Mactores is seeking a remote AWS DevOps Engineer (Freelancer) to join our infrastructure modernization work. The role focuses on automation, deployment, and reliability across enterprise and big data workloads. You will own build and release cycles, implement IaC, and optimize cloud operations while collaborating with delivery teams.

The position is project-based, remote, with forward-deployed engagement. Expect hands-on work, customer interaction, and a focus on producing repeatable, scalable

Qualifications

• 4+ years of Terraform-based IaC.
• 4+ years of configuration management and engineering for large-scale customers.
• 4+ years of Linux or Windows administration experience.
• 4+ years with Git including branching and merging strategies.
• 2+ years of experience with AWS infrastructure and services.
• 2+ years of experience with cloud automation tools (Ansible, Chef).
• Experience with container services on AWS: Kubernetes, ECS, and EKS.
• Expertise across multiple cloud providers: AWS, Azure, GCP.

Responsibilities

• 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 like Amazon EMR, Redshift, and SageMaker.
• Build our CI pipeline, and train and guide the team in DevOps practices.

Skills

Kubernetes

Terraform

CI/CD

Go

AWS

Azure

Linux administration

Windows administration

Git

Ansible

Chef

Jenkins

Tools

Kubernetes

Terraform

AWS

Azure

Jenkins

Bitbucket

Graphite

Grafana

Job description

Mactores is hiring a remote candidate for AWS DevOps 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 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.

What you will do?

• 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.

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 DevOps 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 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.

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision‑making, Leadership, Collaboration, and Curiosity drive how we work.

• Be one step ahead
• Deliver the best
• Be bold
• Pay attention to the detail
• Enjoy the challenge
• Be curious and take action
• Take leadership
• Own it
• Deliver value
• Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers.

The Path to Joining the Mactores Team

• Pre‑Employment Assessment: A series of evaluations of your technical proficiency and suitability for the role.
• Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands‑on experience, leadership potential, and communication.
• HR Discussion: During this 30‑minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

Mactores provides equal opportunities in all employment practices.

Mactores provides equal opportunities in all employment practices.

We don't discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws.

This applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.

Skills required for this role include Kubernetes, Terraform, CI/CD, and related tools for day‑to‑day development.

Seniority level: Mid-level.