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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
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 milestonesRemote-first, async-native, autonomy-rich team
What You Put In Is What You Get OutAt 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 MattersThis 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 DoArchitect & 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 BringBachelor’s or Master’s degree in Computer Science, Cloud Engineering, or related field3+ years of hands-on experience designing and managing systems on Google Cloud PlatformExpertise in GKE, Cloud Run, BigQuery, Dataflow, Pub/Sub, and IAMStrong Python, SQL, and infrastructure-as-code (Terraform) skillsProficiency with CI/CD tools (Cloud Build, GitHub Actions, etc.) and containerization (Docker, Kubernetes)Solid understanding of networking, monitoring, and security principles in cloud environmentsFamiliarity with MLOps and Vertex AI (a plus, not a core requirement)Google Cloud certifications such as Professional Cloud Architect or Data Engineer preferredA mindset focused on automation, reliability, and continuous improvement
Success MetricsImproved reliability and uptime of GCP-based systemsReduced manual effort through automation and IaC adoptionLower cloud spend through performance and resource optimizationFaster deployment cycles and higher developer velocitySuccessful enablement of new data and AI workloads through scalable infrastructure
Compensation & CultureEquity: Role-based equity packageToken Rewards: Potential based on contribution and compliance clearanceSalary: Equity-first; salary unlocks via company revenue milestonesCulture: Remote-first, async-native, and high-trust engineering environment
