Senior Software Development Engineer - Remote Job at Anime Universe, Canada

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  • Anime Universe
  • Canada

Job Description

Senior Software Engineer - GCP 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 , infrastructure is not a support function—it’s a core enabler of the product itself . As a Senior Software Engineer (GCP-focused) , you will design and build the applications , systems , and services that power an intelligent, scalable creative platform.

Why This Role Matters

This is a software engineering role at its core.

You’ll architect and implement cloud-native services, data-driven features, and scalable backend systems that bring our creative universe to life.

You will:

  • Build application logic, APIs, and services that run on GCP.
  • Shape the foundational architecture that supports real-time creativity, analytics, and future AI systems.
  • Partner closely with product, data, and AI teams to turn ideas into production-ready software.

Your work is the backbone of how we deliver magic to users.

What You’ll Do

Build Cloud-Native Applications

  • Develop microservices, APIs, backend components, and data-intensive features using GCP-native compute options like Cloud Run, GKE, and Cloud Functions.
  • Write clean, scalable software using Python (or another backend language), with strong emphasis on modularity, maintainability, and performance.

Design & Implement GCP-Based Architectures

  • Architect services using Cloud Storage, BigQuery, Pub/Sub, Firestore, Cloud SQL, and VPC networking.
  • Make key decisions around system design, data modeling, and service boundaries.

Develop Data-Driven Features

  • Build application logic that consumes real-time and batch data pipelines.
  • Integrate with BigQuery, Dataflow, and Pub/Sub to power analytics, personalization, and content systems.

Build for Scale, Reliability & Developer Velocity

  • Use CI/CD and IaC (Cloud Build, Terraform) to support the software you write—without being a dedicated DevOps engineer.
  • Prioritize automation that supports fast iteration and high service quality.

Collaborate Across the Product

  • Work with architects, designers, and AI engineers to ship product features end-to-end.
  • Help define best practices for cloud-native software development internally.

(Bonus) AI/ML Enablement

  • Integrate applications with Vertex AI components or internal ML systems.
  • Experience with LangChain or generative AI is helpful but not required.

What You Bring

Software Engineering First

  • 4+ years of professional software development experience
  • Strong expertise with Python (or equivalent backend languages), distributed systems, and API development
  • Experience developing production services on Google Cloud Platform

Deep GCP Knowledge (but applied through software engineering)

  • Proficiency with:
  • Cloud Run / GKE
  • BigQuery, Dataflow, Pub/Sub
  • Cloud SQL / Firestore
  • IAM, VPC networking
  • Experience designing scalable cloud architectures
  • Strong familiarity with containerization and CI/CD workflows (Docker, Cloud Build, GitHub Actions)

Other Strengths

  • Solid understanding of cloud security, monitoring, and performance tuning
  • Terraform experience (for managing the resources your services rely on)
  • Cloud certifications (Professional Cloud Architect/Developer/Data Engineer) are a plus
  • A builder’s mindset—practical, iterative, and product-focused

Success Metrics

  • Production-ready services delivered quickly and reliably
  • Well-architected systems that scale with usage
  • Fast deployment cycles and high engineering throughput
  • Efficient, cost-conscious use of GCP resources
  • New features (data-driven or AI-driven) enabled through your architectures

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

Job Tags

Internship,

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