Senior / Staff DevOps Engineer

Vouched

4d•$200,000 - $225,000•Remote

About The Position

Vouched is seeking a Senior/Staff DevOps Engineer to join their team. This role involves building and maintaining reliable, secure, and scalable infrastructure in a fast-paced startup environment. The ideal candidate will have a blend of operational expertise and software engineering skills, working closely with engineering, security, and product teams. A key aspect of this role is ensuring the security, privacy, and regulatory compliance of the platform, which handles sensitive personal data. The engineer will also be responsible for leading incident response, fostering a culture of operational excellence, and leveraging modern AI-powered tooling to accelerate infrastructure and platform work. Experience with distributed teams, strong communication skills, and a bias for action are essential. While knowledge of AI-based identity verification products is a plus, a passion for innovative technologies and scaling a dynamic team is key.

Requirements

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; demonstrated ability to accelerate infrastructure and automation work with them.
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.
US work authorization is required.

Nice To Haves

Familiarity with identity verification products or AI/ML-based solutions is a plus.
HIPAA experience is a plus.

Responsibilities

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 efficiency.