Award-winning AI for identity verification and KYC
Senior / Staff DevOps Engineer
Location
United States
Posted
4 days ago
Salary
$200K - $225K / year
Seniority
Lead
No structured requirement data.
Job Description
Senior / Staff DevOps Engineer
Vouched
Role Description We are seeking a Senior/Staff DevOps Engineer who thrives in a fast-paced startup environment and is passionate about building reliable, secure, and scalable infrastructure alongside a talented team. The ideal candidate blends deep operational expertise with strong software engineering instincts, partnering closely with engineering, security, and product stakeholders to design and operate the platform that powers identity verification for customers around the world. - Improve and develop infrastructure and reliability across the full product lifecycle, from architecture and provisioning through deployment, monitoring, and continuous improvement. - Ensure every service is observable, performant, and resilient, providing the team with the automation, tooling, and guardrails needed to ship quickly and safely. - Treat security, privacy, and regulatory compliance as first-class, non-negotiable requirements in every system built. - Maintain and advance compliance posture across frameworks such as SOC 2, ISO 27001, GDPR, etc. - Foster a culture of shared accountability around operational excellence and security by leading incident response and facilitating open conversations about risk. - Leverage modern AI-powered tooling to accelerate infrastructure and platform work. Qualifications - 6+ years of experience in DevOps, Site Reliability, Platform, or Infrastructure Engineering within a software engineering organization. - Deep expertise with a major cloud provider (GCP preferred) and strong understanding of networking, security, and distributed systems. - Strong hands-on experience with infrastructure-as-code (Terraform, Pulumi, and/or CloudFormation) and configuration management. - Production experience with containers and orchestration (Docker, Kubernetes, or ECS) and with building robust CI/CD pipelines (GitHub Actions, CircleCI, or similar). - Proficiency with observability and monitoring stacks (Datadog, Prometheus/Grafana, CloudWatch, or equivalent). - Solid scripting and programming skills (Python, Go, Bash, or TypeScript/Node) to build automation and tooling. - Strong grasp of cloud security best practices: IAM and least-privilege, secrets management, encryption, network security, and vulnerability management. - Hands-on experience supporting compliance frameworks such as SOC 2, ISO 27001, GDPR, HIPAA including control implementation, evidence and audit readiness, and compliance automation. - Proficiency with AI-powered development tools such as Claude Code, Cursor, GitHub Copilot, or equivalent. - Experience leading incident response and participating in an on-call rotation for production systems. - Excellent written and verbal communication skills; ability to document systems clearly and write actionable runbooks. - Experience working in a startup environment is required. - Experience managing or collaborating with distributed teams is essential. - Familiarity with identity verification products or AI/ML-based solutions is a plus. Requirements - 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. - Build and maintain observability across the platform, including monitoring, logging, tracing, alerting, and meaningful dashboards. - Improve and advance security posture: secrets management, encryption in transit and at rest, IAM and least-privilege access, network segmentation, and vulnerability management. - Drive compliance readiness by partnering with security and leadership to maintain, automate, and provide evidence for controls. - Lead incident response and the on-call rotation; drive blameless postmortems and reduce mean-time-to-recovery. - Define and uphold reliability targets (SLOs/SLIs), capacity planning, and performance tuning. - Leverage AI-powered tooling to accelerate infrastructure-as-code, automation, and internal tooling. - Partner with engineering to improve developer experience and deployment velocity. - Drive a culture of operational excellence, reliability, security, and continuous improvement. - 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. Benefits - Equity compensation - Remote working environment - Self-managed paid time off - 11+ annual company holidays - 401(k) - Health Care Benefits: Medical, Vision, Dental - Wellness benefits: EAP, LifeHealth Online, One Medical, Perkspot - Parental leave
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