GCP Platform Developer

Senior Software Engineer - GCP Platform Developer - Equity Partner - Location: Remote (United States/Canada) Commitment: Minimum 20 hrs/week Anime Universe is an early stage startup in the building and fundraising phase. Compensation: No upfront cash "Sweat Equity": Equity (shares) + future token-based rewards (pending legal clearance) Salary unlocked by revenue milestones Remote-first, async-native, autonomy-rich team What You Put In Is What You Get Out At Anime Universe, building AI infrastructure isn't a back-office task—it's how we scale creativity, innovation, and intelligence across worlds. As a GCP & Vertex AI Developer, you'll craft the systems that make our imagination computable—designing pipelines that learn, adapt, and evolve in real time. Why This Role Matters This isn't just about maintaining cloud systems—it's about building the backbone of a scalable, intelligent platform that enables innovation across the company. You'll be shaping the foundation on which data, analytics, and AI applications thrive. Your work will ensure our GCP environment is secure, performant, automated, and built for growth. You'll collaborate with architects, developers, and data teams to design and deliver cloud solutions that turn bold ideas into production-ready systems. What You'll Do Architect & Operate GCP Infrastructure: Design, implement, and scale secure, resilient systems using GKE, Cloud Run, Cloud Storage, VPC networking, and IAM. Automate & Optimize Cloud Operations: Build CI/CD pipelines with Cloud Build, Artifact Registry, and Terraform to accelerate deployments and enforce reliability best practices. Enable Data-Driven Systems: Develop and manage data pipelines leveraging BigQuery, Dataflow, and Pub/Sub for real-time and batch processing. Monitor, Secure, and Improve: Continuously optimize for performance, cost, and uptime using Cloud Monitoring, Logging, and Stackdriver, while maintaining compliance and access control hygiene. Collaborate & Support: Partner with engineering and data science teams to enable new workloads and streamline cloud resource provisioning. (Bonus) AI/ML Enablement: Support AI workloads using Vertex AI or related frameworks—experience with ML pipelines, LangChain, or generative AI is a plus but not required. What You Bring Bachelor's or Master's degree in Computer Science, Cloud Engineering, or related field 3+ years of hands-on experience designing and managing systems on Google Cloud Platform Expertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAM Strong Python, SQL, and infrastructure-as-code (Terraform) skills Proficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes) Solid understanding of networking, monitoring, and security principles in cloud environments Familiarity with MLOps and Vertex AI (a plus, not a core requirement) Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferred A mindset focused on automation, reliability, and continuous improvement Success Metrics Improved reliability and uptime of GCP-based systems Reduced manual effort through automation and IaC adoption Lower cloud spend through performance and resource optimization Faster deployment cycles and higher developer velocity Successful enablement of new data and AI workloads through scalable infrastructure Compensation & Culture Equity: Role-based equity package Token Rewards: Potential based on contribution and compliance clearance Salary: Equity-first; salary unlocks via company revenue milestones Culture: Remote-first, async-native, and high-trust engineering environment