Architect and integrate LLM-powered, agentic tools into our platform ecosystem. You will design self-healing infrastructure and automated root-cause analysis workflows to drastically reduce operational toil and accelerate incident resolution.
Drive the strategic roadmap for our GCP and Kubernetes-based cloud capabilities, balancing direct developer feedback with emerging cloud technologies.
Define, build, and maintain rigorous system Service Level Objectives (SLOs) and incident management processes. You will share ownership of platform health by participating in on-call rotations, using those frontline insights to continuously harden our systems.
Design transparent platform security (access controls, encryption, vulnerability management) that keeps the platform secure without slowing down developer velocity.
Manage cloud capacity and FinOps proactively, offering efficient scaling solutions and cost transparency to engineering teams.
Transform CI/CD (GitHub Actions, TeamCity), deployment (ArgoCD), and build tooling into a cohesive, self-service product that drives Change Failure Rates (CFR) to zero.
Embed platform standards directly into our tooling so that the "right way" is automatically the fastest and easiest way for our software engineers.
Provide high-level, solutions-oriented support by troubleshooting complex infrastructure issues and delivering resilient, product-level fixes.
Foster a customer-focused engineering environment. You will mentor junior team members and advocate for product-thinking and deep empathy for the developer experience.

Requirements

Deep proficiency in Google Cloud Platform (GCP) is required; AWS experience is a strong plus. You have in-depth knowledge of cloud networking, protocols, and security best practices.
Extensive expertise operating both self-managed and cloud-managed Kubernetes architectures at scale.
Experience managing and scaling robust data storage and streaming technologies (e.g., PostgreSQL, MySQL, Cassandra, Elasticsearch, Kafka).
Strong software development skills in high-level languages (e.g., Python, Go, Java, TypeScript) combined with modern development practices.
Proven ability to build secure, self-service infrastructure using Infrastructure-as-Code (Terraform) and declarative CI/CD pipelines (ArgoCD, GitHub Actions, TeamCity) to deploy with confidence and drive down CFR.
Proficiency using modern AI-assisted development tools (Cursor, GitHub Copilot, Claude). Crucially, you possess the architectural critical thinking required to audit AI-generated code for security, correctness, and long-term maintainability.
Experience designing scalable, OpenTelemetry-based monitoring and tracing frameworks that equip engineering teams to swiftly pinpoint bottlenecks and lower MTTR.

Benefits

Discretionary Time Off Policy (Unlimited!)
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Google Cloud Platform (GCP)KubernetesPythonGoJavaTypeScriptTerraformArgoCDGitHub ActionsPostgreSQL

Soft Skills

mentoringcustomer-focusedsolutions-orientedempathycollaboration