Job Summary:
We are seeking a highly experienced Lead DevOps Engineer / Cloud Solution Architect with deep expertise in Google Cloud Platform (Google Cloud Platform) and modern cloud-native technologies. This is a hands-on technical leadership role that combines solution design with direct implementation. The individual will design secure, scalable, resilient, and cost-effective cloud solutions; build critical platform components and automation; and lead engineers through delivery and production support.
The role requires practical expertise in Google Cloud Platform networking, identity and access management, infrastructure as code, CI/CD, container orchestration, serverless technologies, observability, data services, and generative AI platforms. The candidate will translate business and nonfunctional requirements into implementable solution designs, validate decisions through prototypes and hands-on engineering, develop reusable patterns, review technical deliverables, and troubleshoot complex production issues. The role will partner with application, data, security, architecture, and operations teams to ensure solutions meet security, compliance, reliability, performance, operational, and cost objectives. Solid AWS experience is expected; Azure experience is preferred but not required.
Required Qualifications:
- 12 or more years of experience in DevOps, cloud engineering, platform engineering, site reliability engineering, or related disciplines, including substantial hands-on delivery and technical leadership experience.
- Proven ability to translate business, security, compliance, and nonfunctional requirements into practical solution designs and lead them through implementation and production support.
- Deep hands-on expertise with Google Cloud Platform, including enterprise landing zones, multi-project environments, hybrid or multi-cloud integrations, networking, and workload migrations.
- Deep expertise in Google Cloud Platform IAM, Workload Identity, Shared VPC, Private Service Connect, Serverless VPC Access connectors, GKE, Cloud Run, and Cloud Functions.
- Experience designing and implementing solutions with Dataproc, Dataform, Cloud SQL, and BigQuery.
- Advanced hands-on experience with Jenkins, GitHub, GitOps, Terraform, Docker, and Kubernetes.
- Strong Python and Bash scripting skills, with the ability to develop production-ready automation and troubleshooting utilities.
- Strong command of cloud security, networking, reliability, disaster recovery, observability, performance engineering, and cost optimization.
- Demonstrated ability to lead technical reviews, mentor engineers, influence stakeholders, and communicate complex decisions clearly to technical and nontechnical audiences.
- Willingness and ability to personally implement, test, troubleshoot, and support critical solutions rather than operating solely in an advisory or governance capacity.
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