• We are seeking a Senior DevOps Engineer to design, automate, and manage the mission-critical cloud infrastructure supporting our marketplace. • As a key member of our DevOps team, you will drive our Infrastructure-as-Code (IaC) strategy, develop tools to simplify our deployment processes, and integrate automated testing into our delivery pipelines. • This is a collaborative, cross-functional role requiring close partnership with development, security, and QA teams. The ideal candidate is a proactive engineer with a strong foundation in cloud platforms, CI/CD automation, containerization, and security best practices, dedicated to helping us deliver reliable services to 4 million members.

• Design and manage scalable, secure, and highly available infrastructure on Google Cloud Platform (GCP) • Develop and maintain Infrastructure as Code (IaC) using Terraform or Deployment Manager • Build and optimize CI/CD pipelines using tools like Cloud Build, GitHub Actions, or Jenkins • Implement and manage GKE (Google Kubernetes Engine) clusters, including autoscaling, monitoring, and security • Set up and manage Cloud Monitoring, Cloud Logging, and Error Reporting for observability • Automate operational tasks using Python • Ensure compliance with security best practices using IAM, VPC Service Controls, and Cloud Armor • Collaborate with development teams to support microservices architecture and service mesh (e.g., CloudRun, CloudFunction) • Lead incident response and root cause analysis for production issues • Mentor junior DevOps engineers and contribute to DevOps best practices and documentation

• Design, build, and operate cloud infrastructure (GCP preferred) using infrastructure-as-code, with an emphasis on repeatability, security, and cost efficiency. • Own and continuously improve CI/CD pipelines. Automated integration and unit testing, provisioning, deployments, and rollbacks to keep delivery fast and safe. • Build and maintain observability across the platform, including monitoring, logging, tracing, alerting, and meaningful dashboards that surface issues before customers do. • Improve and advance our security posture: secrets management, encryption in transit and at rest, IAM and least-privilege access, network segmentation, and vulnerability management across all infrastructure. • Drive compliance readiness by partnering with security and leadership to maintain, automate, and provide evidence for controls across frameworks such as SOC 2, ISO 27001, GDPR, (HIPAA a plus), including audit support and continuous control monitoring. • Lead incident response and the on-call rotation; drive blameless postmortems, reduce mean-time-to-recovery, and turn lessons learned into lasting fixes. • Define and uphold reliability targets (SLOs/SLIs), capacity planning, and performance tuning as we scale across countries and industries. • Leverage AI-powered tooling (Claude Code, Cursor, GitHub Copilot, and others) to accelerate infrastructure-as-code, automation, and internal tooling, and to improve incident triage and response. • Partner with engineering to improve developer experience and deployment velocity, removing friction and automating away toil. • Drive a culture of operational excellence, reliability, security, and continuous improvement across the engineering organization. • Set technical direction for platform and infrastructure, and mentor engineers on DevOps, reliability, and security best practices. • Continuously evaluate and adopt emerging AI-powered tools and workflows to improve infrastructure speed, quality, and security.

• Implement the technical roadmap for Infrastructure as Code (IaC), CI/CD evolution, and cloud-native architecture to support TrueML’s scaling needs. • Design, develop, and maintain self-service internal platforms to reduce developer cognitive load, enabling feature teams to deploy and manage services with minimal friction at increased velocity. • Act as a core steward for cloud spend (AWS), proactively identifying and driving cost-optimization initiatives across our infrastructure. • Build and maintain infrastructure architecture that supports strict High Availability (HA) requirements and robust Disaster Recovery (DR) protocols across multiple regions. • Implement and evolve comprehensive monitoring, logging, and distributed tracing systems, leveraging AIOps to move from reactive to predictive system maintenance.