GCP Platm Developer

What we're looking for

**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