DevOps Manager, Infrastructure

🏒 Origami Risk · all Origami Risk jobs
πŸ“ United States
πŸ’° USD 145,000 - 185,000 / annual
πŸ“… Posted 2026-08-10 Β· via Himalayas
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Overview The DevOps Manager, Infrastructure is a people leader and technical operator responsible for leading the team that builds, runs, and continuously improves the cloud infrastructure, CI/CD pipelines, and operational systems that Engineering teams and clients depend on every day. This manager sets a high bar for infrastructure reliability, deployment velocity, and operational discipline β€” building a team culture where automation is the default, manual work is treated as a problem to be solved, and every Engineer on the team is actively leveraging AI to work faster, diagnose issues more accurately, and build infrastructure that operates intelligently at scale. This is a hands-on technical leader who coaches Engineers on infrastructure engineering craft, drives AI adoption into daily DevOps workflows, holds the team accountable for the reliability and performance of the systems they own, and partners with Engineering, Security, and Product teams to ensure cloud operations are a source of competitive advantage β€” not a constraint on what engineering can deliver. Starting base pay for this role is between $145,000 and $185,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states). Responsibilities - People Leadership & Team Development - Leads, develops, and retains a team of DevOps Engineers β€” building a high-performance team culture defined by technical excellence, automation mindset, operational ownership, and a continuous improvement orientation that makes the team better every sprint.β€― - Sets clear goals, role expectations, and success criteria for each team member β€” conducting regular 1:1s, providing direct and constructive feedback, and ensuring every engineer on the team has a visible path for technical growth and career progression.β€― - Conducts structured performance reviews that recognize strong operational contributions, address delivery or quality gaps with support and specificity, and develop team members who are growing in both AI tooling fluency and foundational infrastructure engineering depth.β€― - Identifies capability gaps across the team β€” including in areas such as infrastructure-as-code, AI-assisted operations, container orchestration, security controls, and observability engineering β€” and develop targeted hiring, upskilling, and cross-training plans that keep the team ahead of organizational demand.β€― - Fosters a team culture where every manual process is treated as a temporary state, automation is the permanent solution, and AI tooling is an expected part of how every engineer approaches their work β€” not an optional enhancement.β€― - Supports Engineering hiring across the broader organization by participating in technical interviews, contributing to DevOps role design, and helping calibrate the infrastructure engineering bar for the engineering organization.β€― Cloud Infrastructure Operations & Strategyβ€― - Owns the operational health of the organization's AWS cloud infrastructure β€” setting the team's standards for provisioning, configuration management, environment consistency, patching cadences, capacity planning, and cost optimization across all environments.β€― - Leads the team's infrastructure-as-code practice β€” ensuring all AWS resources are defined, versioned, peer-reviewed, and deployed through Terraform or AWS CDK, and that manual infrastructure changes are treated as exceptions that are immediately codified rather than accepted as standard practice.β€― - Drives cloud cost efficiency as a continuous management discipline β€” working with

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