Senior Platform Engineer

Loop•Columbus, OH

22h•$160,000 - $200,000

About The Position

Loop is hiring a hands-on individual contributor to strengthen the platform foundation that enables engineers to deliver quickly, reliably, and confidently. The role builds infrastructure, improves delivery workflows, investigates production behavior, and helps engineers operate more independently. It also contributes to Loop’s technical direction and to the engineering environment used by both people and AI agents. The immediate priorities are developer self-service, safer releases, and reducing operational toil. The engineer will identify complexity and manual work, then deliver practical improvements across Loop’s AWS and Kubernetes environment and related systems. The role involves technical work, collaboration, coaching, and technical leadership, including partnership with product, data, and security colleagues. Success includes establishing an understanding of the environment, earning trust, and delivering an evidence-backed plan with early improvements. Over time, infrastructure and delivery work should become more self-service, releases easier to verify and recover from, operational noise and recurring incidents should decrease, and platform knowledge should be shared more broadly. Agent-assisted workflows should produce better results with appropriate checks and human accountability.

Requirements

At least 5 years of experience in platform engineering, DevOps, SRE, or related infrastructure work, or equivalent demonstrated depth.
Deep, hands-on Kubernetes experience, including configuration, secrets, deployment, scaling, and production troubleshooting.
Experience building and operating AWS infrastructure for production systems with meaningful traffic and availability requirements.
Strong infrastructure-as-code and CI/CD experience, including Terraform and GitLab CI or comparable tools.
Experience using metrics, logs, traces, and alerting to understand system behavior.
Ability to write, read, debug, and maintain automation and tooling, and investigate problems across application and infrastructure boundaries.
Examples of making delivery safer, reducing operational toil, or enabling engineers to work independently.
Clear written communication and experience leading technical work across teams without relying on formal authority.

Nice To Haves

Experience with cloud security, least-privilege access, secrets management, SOC 2, or GDPR.
Application performance tuning experience.
PHP/Laravel experience.
Database operations experience.
Experience with infrastructure for AI agents.

Responsibilities

Build self-service workflows for engineers to provision infrastructure, ship services, and recover from failures.
Improve CI/CD pipelines, deployment checks, progressive delivery, and automated rollback.
Simplify AWS and Kubernetes infrastructure by prioritizing improvements that balance reliability, security, cost, and upkeep.
Make production changes safer and easier to recover from.
Strengthen observability, alerting, SLOs, and capacity planning; use incidents and support trends to guide improvements.
Improve tooling, environments, reusable context, and access boundaries for agent-assisted engineering.
Partner with security colleagues to appropriately control permissions, secrets, and consequential actions.
Work with product and data engineers to investigate performance and reliability issues across application code, containers, databases, networking, and cloud services.
Share technical reasoning, document decisions, and coach teammates so systems are understandable to others.
Participate in platform on-call and incident response, and work to reduce the frequency and impact of interruptions.