Cloud Infrastructure Manager

Team Leadership

• Lead an established team of six to eight engineers through a growth phase expected to roughly double headcount, owning hiring, onboarding, and ramp.
• Set direction for a networking sub-group covering VPC design, cloud connectivity, service mesh ingress, and DNS.
• Partner with the SRE, Developer Experience, and Data teams and the four product teams the platform serves, and own the team’s rotating on-call schedule and the operational standard behind it.

Software Development and Engineering

• Write and ship platform software in Go or Python, along with infrastructure code in Terraform and CloudFormation.
• Apply AI tooling across every stage of software development and use agentic solutions to improve how infrastructure is managed and operated.
• Review pull requests, debug failing pipelines, and pick up delivery work when the team is stretched or an incident calls for it.

Hands-On Engineering

• Review pull requests, debug failing pipelines, and pick up delivery work when the team is stretched or an incident calls for it.
• Write and ship infrastructure and platform code in Terraform, CloudFormation, and Go or Python tooling.
• Cloud Infrastructure and Infrastructure as Code
• Own AWS estate management across accounts, covering compute, storage, networking, identity, and the guardrails that keep the environment consistent.
• Drive the infrastructure-as-code practice across a mixed Terraform and CloudFormation footprint, including where each tool belongs and how the two converge over time, and hold the standard for change safety, review, and rollback.
• Own the Kubernetes (EKS) platform and the shared components running on it, covering scaling, upgrades, service mesh, and workload isolation.

Platform Abstractions

• Build the provisioning abstractions that let four product teams request and operate infrastructure without holding the full cognitive load of AWS.
• Treat the platform as a product whose users are engineers, covering API design, documentation, versioning, and a deprecation path.
• Extend paved paths so observability, security, and compliance requirements are satisfied by default, prioritized against measured friction.

Infrastructure Operations and FinOps

• Own base image strategy, build automation, CI/CD tooling, and release automation for infrastructure and platform components, keeping patching, hardening, and compliance posture current in a regulated financial services environment.
• Establish cost visibility, allocation, and accountability across the AWS estate, starting with tagging discipline, rightsizing, and commitment coverage.

• Eight or more years in cloud infrastructure, platform, or SRE engineering, including three or more years managing engineers directly as a hands-on manager who still contributes code and troubleshoots production.
• Software development proficiency in Go or Python, strong enough to review the team’s platform code and contribute to it directly.
• Deep AWS experience at production scale, including multi-account structure, IAM, VPC and networking, and core services such as EC2, Lambda, API Gateway, and CloudWatch.
• Hands-on infrastructure-as-code background with Terraform, CloudFormation, or both, including module design and state management.
• Production Kubernetes experience, ideally EKS, covering cluster operations, workload scheduling, and containerization on microservices infrastructure.
• Experience building internal platform abstractions that other engineering teams consume, Linux systems depth including image build pipelines and configuration management, and experience leading a distributed team.
• Experience applying AI tooling across the development lifecycle and agentic approaches to infrastructure management.

This role takes over an established Infrastructure team of six to eight engineers with the outlook of roughly doubling it, working alongside sibling teams covering SRE, Developer Experience, and Data. The team reduces cognitive load for product engineers by building self-service capabilities and paved paths, with observability, compliance, security, and operational excellence built in rather than added afterward. Product engineering teams across the company depend on what it ships. The organization works with an AI-first mindset, applying AI tooling throughout software development and agentic approaches to infrastructure management, and is moving to a flatter structure, so the role calls for someone who leads people well and still opens the editor when the team needs a second pair of hands.

• Employment Type: Contract, with potential for extension or permanent conversion. For conversion to permanent - must be in the Greater Seattel Area
• Duration: 6+ Months
• Location: Seattle, WA ; hybrid, approximately 3 days per week onsite or REMOTE for contract-only
• Compensation: $110 - $140/hr USD, Depending on Experience
• NOTE: Must be able to work in the United States without sponsorship.

Releady is partnering with a global cross-border payments company to hire a Cloud Infrastructure Manager on contract. The company serves customers in more than 170 countries and operates as a registered money services business across multiple regulated markets, so every infrastructure decision carries a compliance dimension. Engineering runs on a “you build it, you own it” model over a microservice architecture, and the Developer Platform organization exists to make that model work at scale.