- Company Name
- Stealth IT Consulting
- Job Title
- DevOps Consultant
- Job Description
-
Job Title: DevOps Consultant
Role Summary: Senior/Lead DevOps Consultant specializing in Google Cloud Platform (GCP) to design, implement, and optimize secure, scalable cloud solutions for enterprise clients. Responsible for delivering modern DevOps capabilities, driving platform engineering, and improving observability, reliability, and delivery performance across engineering teams.
Expectations:
- Lead architecture and delivery of GCP solutions (GKE, Cloud Run, Cloud Build, Terraform, VPC, IAM, etc.).
- Mentor and empower engineering teams to adopt CI/CD, GitOps, and infrastructure-as-code practices.
- Set, track, and achieve OKRs/KPIs to elevate operational excellence.
- Serve as a trusted advisor in client-facing engagements, guiding tech strategy and platform roadmaps.
- Continuously evaluate and incorporate emerging technologies such as AI/ML, advanced observability, and automation.
Key Responsibilities:
- Architect and implement secure, high‑availability GCP environments.
- Define and maintain internal developer platforms, reusable components, and “golden paths”.
- Drive the lifecycle of cloud platforms: roadmap, deployment, testing, monitoring, and continuous improvement.
- Advise clients on cloud‑native operating models, best practices, and modern tooling.
- Design and implement automated pipelines, SRE, and DevSecOps frameworks.
- Enhance observability, logging, monitoring, and alerting across multi‑cloud or hybrid setups.
- Collaborate with cross‑functional teams to align technical solutions with business objectives.
Required Skills:
- Proven experience in GCP (GKE, Cloud Run, Cloud Build, Pub/Sub, Cloud Logging/Monitoring, VPC, IAM, etc.).
- Hands‑on expertise in CI/CD, GitOps, Terraform, Docker, Kubernetes, Helm, and infrastructure‑as‑code.
- Strong background in SRE, DevSecOps, automated pipelines, and reliability engineering.
- Ability to set measurable OKRs/KPIs and improve team delivery performance.
- Excellent client‑facing communication and advisory skills.
- Deep understanding of hybrid/multi‑cloud architecture and platform engineering principles.
- Expertise in improving observability, monitoring, and reliability practices.
- Familiarity with AI/ML, advanced observability tools, and platform automation.
Required Education & Certifications:
- Bachelor’s (or higher) degree in Computer Science, Engineering, or related field.
- Professional certification: Google Cloud Professional DevOps Engineer (required) or equivalent (e.g., GCP Professional Cloud Architect, Cloud Developer, or Terraform Associate).