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AWS DevOps Engineer (Senior)

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 i

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Mactores Mumbai, Mumbai, MH Source published Oct 14, 2021 Verified 1 hour ago
✓ 100% verification score · Source: Mactores (lever) · Always confirm final requirements on the original source.
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EmploymentFull time (Remote)
Work modeRemote / location-flexible

Overview

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 i

Full job description

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.

Legacy infrastructure doesn't retire itself. Someone has to build the pipelines, rehearse the cutover, and carry the release into production and that's this seat. As a Senior AWS DevOps Engineer, you serve our application and infrastructure modernization work: you own build and release cycles for customer projects, land migrations from legacy hardware to AWS, and make deployments boring in the best sense of the word. Agents change what this job looks like day to day. Aedeon and automation handle the repetitive discovery, mapping, and validation work that used to eat engineer hours. That leaves you the parts that actually need a senior engineer: infrastructure architecture, risk tradeoffs, release judgment, and the operational standards the whole team ships against. You'll work client-facing, embedded with customer teams, and the delivery commitment is one you carry personally.

Automate infrastructure creation with Terraform and AWS CloudFormation — infrastructure as code, not tickets and toil. Own application configuration management and drive Infrastructure as Code through deployment tooling. Own the build and release cycle for customer projects, end to end. Share responsibility for deploying releases and for operations and maintenance work. Improve the operations infrastructure we ship with — Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana. Support the engineering team operationally and help migrate legacy infrastructure to the cloud — retiring the old systems, not just standing up new ones. Establish and enforce operational best practices, and hold releases to them. Help hire culturally aligned engineers and mentor them as they grow. Work with the founders on team strategy and long-term technical planning. Work across distributed teams in the US and India, and with customer SMEs, to keep the business logic honest through migration.

4+ years with Terraform for Infrastructure as Code (IaC). 4+ years in configuration management and systems engineering, supporting large-scale Agile environments. 4+ years of Linux or Windows administration. 4+ years working with Git, with a solid grasp of branching and merging strategies. 2+ years hands-on with AWS infrastructure and platform services. 2+ years with cloud automation tools such as Ansible or Chef. 2+ years with container orchestration, Kubernetes (EKS), AWS ECS, and Docker. A proactive, solutions-oriented approach and a drive to improve reliability and scalability.

Expertise across multiple cloud providers: AWS, Azure, GCP. AWS certifications: Solutions Architect (Associate/Professional) or DevOps Professional. Hands-on experience with data pipelines, big data processing, or machine learning workflows on cloud platforms.

Our forward-deployed model means you embed with the customer's team rather than working behind a project-manager wall. Aedeon, the agent platform we deploy, absorbs the repetitive majority of engagement work discovery, mapping, validation, test generation so your hours go to architecture, cutover, and the judgment calls agents can't make. We commit to fixed delivery dates and absorb overage cost for delays inside our control, which means release discipline isn't a slogan here. It's the contract.

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