Job Discription:
Seeks an experienced Cloud Platform/DevOps consultant to augment the Cloud Platform Engineering team. The consultant will operate as an embedded engineer, supporting day-to-day sprint priorities and contributing to various cloud infrastructure, Kubernetes, CI/CD, security, and platform automation initiatives. This engagement is execution-focused, with an emphasis on GCP, AWS, Terraform, Kubernetes, GitOps workflows, DevSecOps, and automation-driven engineering.
Engagement Model: The consultant will work as an integrated member of the Cloud Platform Engineering team, contributing to any active sprint priorities as assigned. Work may span platform improvements, operational support, incident response, engineering execution, and cross-team collaboration. Will set priorities on a weekly or sprint basis; the consultant must be able to pivot as needed and deliver high-quality, reliable engineering output. Potential Project Assignments
The consultant may be asked to contribute to one or more of the following initiatives during the engagement: GCP Hosted Looker Network Setup (Prod Environment)
Potential Deliverables:
? Production-ready GCP network configuration for Hosted Looker
? Terraform modules and GitOps-reviewed deployment artifacts GCP Security Audit Remediation
(Project Secure) Potential Deliverables:
? Completed InfoSec remediation items
? Updated Terraform modules and documentation reflecting required controls FinOps Year-End
Optimization & Cast.AI Expansion Potential Deliverables:
? AWS Account cleanup and suspension
? Identified GCP cost optimization opportunities (e.g. unused or orphaned resources, underutilized, etc.)
? Executed right-sizing/scale-down changes
? Cast.AI rollout updates for target clusters Credentials DB Migration (MongoDB → Firestore)
Potential Deliverables:
? Firestore infrastructure and IaC configurations
? Migration support artifacts, testing results, and documentation GKE Upgrades & Cluster
Modernization Potential Deliverables:
? Validate GKE upgrade path, provide documentations, and support
? Updated charts, workloads, and platform components supporting upgrades General Cloud Platform
Engineering Support Potential Deliverables:
? Participate in the Systems Support channel to assist engineers with issues related to cloud services, CI/CD, Artifactory, Terraform, Kubernetes, and platform tooling
? Identify opportunities to streamline support, reduce repetitive toil through automation, improve documentation, and enhance developer self-service
? Ensure that larger engineering asks are properly captured in Jira, triaged, and funneled into sprint planning instead of ad-hoc or chat-only support
? Troubleshoot deployment, build, and configuration issues in partnership with application teams
? Improve platform reliability, observability, and operational excellence via incremental changes
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.