What success looks like:

Platform meets or exceeds SLAs.

Incidents resolved quickly and documented with appropriate RCA and future runbooks.

Additional automation helps scaling and relieving manual effort.

Observability detects incidents as early as possible.

Ongoing review of environments with stakeholders to identify cloud cost optimization opportunities.

Qualifications And Experience

• BS in CS or related STEM field
• 5+ years of experience in an Infrastructure, DevOps, or Site Reliability Engineering role with expertise in Google Cloud Platforms (GCP)
• Proven experience with DevOps methodologies and building robust CI/CD pipelines
• Experience with designing, managing, and deploying cloud infrastructure with a focus on ensuring scalability, security, resiliency, and high uptime
• Experience with microservices, serverless/containerization and container orchestration such as Kubernetes, Docker, and Cloud Run
• Strong experience with monitoring and observability tools such as Grafana, Prometheus, ELK stack, DataDog, NewRelic, Splunk, or similar technologies
• Experience with Infrastructure as code using Terraform
• Familiarity with networking, security, and access management within a cloud environment (VPCs, subnets, firewalls, DNS, load balancers, full/partial VPNs)
• Strong scripting skills (Bash, Go, python)
• The ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skills

Preferred skills and experience:

• Deep expertise in Google Cloud Platform (GCP), with hands-on experience managing and deploying services such as Google Compute Engine (GCE), Cloud Runs, Google Kubernetes Engine (GKE), Pub/Sub, Cloud SQL, and BigQuery
• Experience with Github actions
• Experience with managing cloud costs and FinOps optimization
• experience with ISO27001
• CMMC Level 2

What we Offer

Competitive salary and comprehensive benefits package.

A vibrant and supportive work environment.

Opportunities for professional development and career growth.

Access to the latest tools and technologies.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.