About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Database Engineer for the Data Engineering team, you will be responsible for maintaining and enhancing the reliability of our data infrastructure. Your work will directly impact the availability and performance of our data services, enabling the organization to make data-driven decisions. You will collaborate closely with data engineers, and software engineers to develop and drive 100% automation, best practices for deep monitoring and alerting.

About You

We get excited about candidates, like you, because...

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in database operations, or a related role with a focus on data platforms, data stores, data operations.
• Deep experience in RDS and NoSQL is a must.
• Extensive experience with AWS cloud platform and their data-related services.
• Proficiency in monitoring tools (e.g., Datadog, CloudWatch, DevOps Guru, DB Performance Insights).
• Proficiency in one or more programming languages (e.g.  Python, Java)
• Strong understanding of various performance metrics both at a high level and at a low level like Disk/IO saturation.
• Experience in identifying and eliminating the bottlenecks in the system.
• Strong understanding of database internals like types of indexes, schemas, query plans.
• Strong understanding of database systems (e.g., SQL, NoSQL) and experience in managing large-scale data infrastructures.
• At least basic knowledge in automation frameworks (e.g., Terraform, Cloud Formation).
• At least basic knowledge and some hands-on implementation of CI/CD pipelines and DatabaseOps practices.
• Experience with data governance, compliance, and lifecycle management.
• Strong problem-solving skills and a proactive approach to identifying and addressing issues.
• Ability to independently own and execute projects while effectively collaborating with the team to influence and shape the vision of the data engineering organization.
• Strong communication skills and the ability to mentor and guide junior engineers.

About the Team

The Database Operations Engineering team is dedicated to ensuring the reliability, scalability, and performance of our data infrastructure. We focus on standardizing and implementing monitoring and alerting across all datastores to track key metrics like errors, latency, and throughput, and to ensure critical systems are covered. Our team also leads efforts to keep databases up-to-date, implements Infrastructure as Code (IaC) for high availability and performance, and automates key processes to enhance operational efficiency. 

We lead and evangelize the principle of 100% automation. Additionally, we define and document operational requirements, develop incident response processes, and automate monitoring and compliance checks to maintain a secure and reliable data environment. By continuously improving load testing and optimizing data governance practices, we support the overall health and efficiency of our data systems.

About the role

As a Senior DevOps Engineer within the Core Infrastructure team, you are a key person in managing and scaling the systems and services that power our streaming platform. Your expertise in cloud technologies and DevOps methodologies enables you to take on complex challenges independently and create scalable solutions that meet our customers' needs. You will work with our delivery teams and lead projects, driving them forward to completion and ensuring that the platform processes and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery. You will work with our delivery teams to ensure that their systems are efficient and reliable, guide them to better quality and practices including observability and troubleshooting of services & incident management. You are expected to take initiatives to improve what we do overall, introduce new technologies & processes when it is needed and share knowledge across teams.

You will report to the Senior Manager, Core Infrastructure Engineering.

About You

You have an in-depth understanding of Software and DevOps methodologies, automation, and infrastructure as code. Your experience in designing, building, and scaling high availability systems shows your commitment to operational excellence. You excel in a collaborative environment and can work well with your teammates, providing a good example to other engineers to achieve high quality and standards in everything they do.

Requirements:

• At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
• 8+ years of experience working in production-level environments as a DevOps/SRE
• Proficient in AWS cloud technologies, coupled with Infrastructure as Code (IaC) such as Pulumi and Terraform
• 3+ years of experience managing containerized infrastructure in ECS or Kubernetes
• Experience in GitOps practices and CI/CD.
• Experience managing Linux based infrastructure.
• Experience with observability and instrumentation of services so that efficient dashboards and alerts are created.
• Familiarity with relational databases like PostgreSQL, MySQL and non-relational databases like MongoDB, DynamoDB.
• Experience with CDN and caching technologies including AWS CloudFront. 
• Experience working with and guiding Software Engineers in production best practices, sharing knowledge across teams and teammates.
• Experience in at least two or more scripting languages including TypeScript.
• Able to accommodate periodic off-hour meetings with the international team members.
• Excellent communication skills and ability to collaborate with stakeholders.
• Participate in an on-call and developer support rotations.

Pluses:

• Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
• Proficiency in TypeScript
• Familiarity with big data and payments domain.
• Understand security concepts such as cryptography, authentication, authorization, and security protocols.
• Familiarity with Datadog
• Familiarity with GitHub Actions

About the Team

At Crunchyroll, our Core Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

• Architect and implement end-to-end LLM-based applications, including chatbots, assistants, search agents, and knowledge discovery tools.
• Design and deploy scalable RAG and GraphRAG pipelines using vector databases (e.g., Opensearch, Pinecone, Mongo) and document chunking strategies.
• Fine-tune and optimize foundation models (e.g., Bedrock, Claude, Nova) for domain-specific use cases.
• Own prompt design and evaluation - build prompt libraries and frameworks that enable rapid experimentation and reuse.
• Develop APIs and microservices to serve LLM-based applications with real-time latency and uptime guarantees.
• Collaborate with data, platform, and backend teams to integrate LLM capabilities into broader Crunchyroll product experiences.
• Monitor and evaluate LLM systems in production for hallucination, latency, cost, and feedback loops.
• Stay up to date with the latest in LLM research, tooling (LangChain, LlamaIndex), and ecosystem advancements.

About You

We get excited about candidates, like you, because...

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• 5+ years of experience building production ML/AI systems, with 2+ years specifically focused on LLM applications.
• Hands-on experience with production-ready RAG systems using tools like LangChain, LlamaIndex, or custom pipelines.
• Hands-on experience with GraphRAG, LLMs, Graph and Vector Databases.
• Deep understanding of prompt engineering, prompt templating, and prompt evaluation strategies.
• Experience working with major foundation models (OpenAI, Anthropic, Nova, Bedrock etc.).
• Familiarity with building semantic search systems and working with vector DBs at scale.
• Strong backend/API development experience using TypeScript and knowledge of deploying services to cloud environments.
• Python skills and experience working with AWS cloud platform and MLOps tools (e.g., AWS Bedrock, SageMaker, Databricks, Lambda, ECS/Fargate).

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

About the Team

The Data Services team is focused on building robust, scalable, and efficient data services, pipelines, lakes, tools, libraries, and software components that drive best practices and empower service teams to succeed. We design and implement data services, pipelines and data lakes for operational analysis, ensuring they are production-ready with automation and standardized access controls. 

We lead and evangelize the principle of 100% automation. Additionally, we establish best practices, provide training, and document data architectures to ensure our systems are reliable, future-ready, and capable of continuous evolution and process improvement across the organization.

About the Role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Software Engineer, you will play a pivotal role in designing, implementing, and optimizing data services, ensuring that our data services support the needs of the business. You will also collaborate with cross-functional teams to enhance eventing systems, and develop tools that empower our data and services teams. Your expertise will also be critical in driving 100% automation, best practices, creating scalable services, and optimizing our data environments.

Key Areas of Responsibility

• Write clean, maintainable, and well-documented API and code while adhering to industry best practices, including code reviews and design patterns.
• Identify and resolve performance bottlenecks, ensuring that both frontend and backend components are optimized for speed and reliability.
• Contribute to the automation and optimization of build, deployment, and monitoring processes to support a smooth development lifecycle.
• Develop and maintain comprehensive test suites (unit and integration) to ensure system reliability and robustness.
• Implement and maintain security best practices, safeguarding sensitive data and ensuring compliance with relevant standards and regulations.
• Must be proficient in both TypeScript and Python
• Design, build, and maintain scalable applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Build event-driven architectures and event interfaces using AWS services such as SNS/SQS, EventBridge, Kinesis, or Kafka.
• Deep understanding of AWS Processing Framework like Step Functions
• Architect and optimize database schemas and queries for relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Collaborate with service engineers, data engineers, and product teams to deliver high-quality software solutions.
• Apply best practices for code quality, security, testing, and performance optimization.

About you

We get excited about candidates, like you, because...

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in backend engineering, specializing in microservices, APIs, and event-driven systems.
• Strong expertise in TypeScript (Node.js) and Python.
• Experience in building applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Deep understanding of cloud-based architectures (AWS preferred), including serverless frameworks, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Hands-on experience with event-driven architectures and event interfaces (Kafka, SNS/SQS, EventBridge, Kinesis).
• Strong database design skills across relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Excellent problem-solving skills, ownership mentality, and ability to work in a collaborative, fast-paced environment.

NIce to Have:

• Experience with retrieval-augmented generation (RAG) or Graph RAG architectures.
• Knowledge of fine-tuning and optimizing LLMs for performance and cost efficiency.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

About the Team

At Crunchyroll, our Cloud Reliability team within the Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable. Cloud Reliability team members will engage directly with development teams on helping them become empowered and effective at delivering on our Infrastructure.

About the role

As a Staff DevOps Engineer within the Infrastructure Engineering team, you are essential in automating and scaling the systems and services that power our streaming platform. You will work with our DevOps team, delivery teams and lead projects related to infrastructure automation, scaling, CICD, driving them forward to completion and ensuring that the platform processes, automation and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery and architecture / infrastructure. You are expected to be highly collaborative working across teams to understand the needs, establish best practices and automate them whenever possible. You will also play a key role in partnering with our development teams and understanding their needs and assisting them in their journey.

You will report to the Senior Manager, Cloud Reliability - Infrastructure Engineering. We are considering applicants for our Los Angeles, CA or San Francisco, CA offices. We work a hybrid schedule, in-office 3 days a week.

About you

The ideal candidate for the Staff DevOps Engineer role has a strong background in DevOps, automation, infrastructure as code and enabling software engineers to deliver independently and safely at scale. You have experience in building and scaling high-availability systems, with a focus on operational excellence. This role involves leading and mentoring other engineers, collaborating with cross-functional teams, and continually improving our technology platform and infrastructure. Your ability to excel in a collaborative environment sets an example for fellow engineers, contributing to a culture of high quality and standards in all aspects of our work.

Requirements:

• At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
• 12+ years of relevant experience in DevOps and infrastructure management.
• 8+ years working in production environments, combining DevOps and software engineering.
• 5+ years of experience managing containerized infrastructure in ECS or Kubernetes.
• Proficiency in automation, creating reusable patterns and solutions.
• Expertise in GitOps practices and CI/CD, including tools like GHA & CodeDeploy and infrastructure automation within CI/CD.
• 5+ years experience in AWS and its major services such as ECS, S3, SQS, Lambda, containerization, utilizing Infrastructure as Code (IaC) such as Pulumi and Terraform.
• Proficient in programming in TypeScript with familiarity of other languages such as Go or Python.
• Familiarity with relational databases (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., DynamoDB).
• Experience guiding software engineers in production best practices, sharing knowledge across teams.
• Design and deployment experience with data sovereignty-driven designs (e.g., GDPR).
• Collaboration with other engineers to build tools and systems supporting services and facilitating high-quality software delivery.

Pluses:

• Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
• Familiarity with big data and payments domain.
• Understand security concepts such as cryptography, authentication, authorization, and security protocols.
• Experience with Vault, Packer or other HashiCorp tools.
• Knowledge, or working experience with GCP.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Senior Database Engineer for the Data Engineering team, you will maintain and enhance the reliability of our data infrastructure. Your work will directly impact the availability and performance of our data services, enabling the organization to make data-driven decisions. You will collaborate with data engineers, and software engineers to develop and drive 100% automation, best practices for deep monitoring and alerting.

In the role of Senior Database Engineer, you will report to the Director of Data Engineering. We are considering applicants for the locations of Los Angeles, CA and San Francisco, CA.

About You

We get excited about candidates, like you, because...

• You have a Bachelor's degree in Computer Science, Information Technology, or a related field.
• You have 8+ years of experience in site reliability engineering, database operations, or a related role with a focus on data platforms, data stores, data operations.
• You have experience with AWS cloud platform and their data-related services.
• You are proficient in monitoring tools (e.g., Datadog, CloudWatch, DevOps Guru, DB Performance Insights).
• You are proficient in one or more programming languages (e.g. Python, Java).
• You have a strong understanding of various performance metrics both at a high level and at a low level like Disk/IO saturation.
• You have experience in identifying and eliminating the bottlenecks in the system.
• You have a strong understanding of database internals like types of indexes, schemas, query plans.
• You have a strong understanding of database systems (e.g., SQL, NoSQL) and experience in managing large-scale data infrastructures.
• At least basic knowledge in automation frameworks (e.g., Terraform, Cloud Formation).
• At least basic knowledge and some hands-on implementation of CI/CD pipelines and DataOps practices.
• You have experience with data governance, compliance, and lifecycle management.
• You have strong problem-solving skills and a proactive approach to identifying and addressing issues.
• You're able to work independently and own projects while effectively collaborating with the team to influence and shape the vision of the data engineering organization.
• You have strong communication skills and can mentor and guide junior engineers.

About the Team

The Database Engineering team is dedicated to ensuring the reliability, scalability, and performance of our data infrastructure. We focus on standardizing and implementing monitoring and alerting across all datastores to track key metrics like errors, latency, and throughput, and to ensure critical systems are covered. Our team also leads efforts to keep databases up-to-date, implements Infrastructure as Code (IaC) for high availability and performance, and automates key processes to enhance operational efficiency.

We lead and evangelize the principle of 100% automation. Additionally, we define and document operational requirements, develop incident response processes, and automate monitoring and compliance checks to maintain a secure and reliable data environment. By continuously improving load testing and optimizing data governance practices, we support the overall health and efficiency of our data systems.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid 

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Senior Database Engineer for the Data Engineering team, you will maintain and enhance the reliability of our data infrastructure. Your work will directly impact the availability and performance of our data services, enabling the organization to make data-driven decisions. You will collaborate with data engineers, and software engineers to develop and drive 100% automation, best practices for deep monitoring and alerting.

In the role of Senior Database Engineer, you will report to the Director of Data Engineering. We are considering applicants for the locations of Los Angeles, CA and San Francisco, CA.

About You

We get excited about candidates, like you, because...

• You have a Bachelor's degree in Computer Science, Information Technology, or a related field.
• You have 8+ years of experience in site reliability engineering, database operations, or a related role with a focus on data platforms, data stores, data operations.
• You have experience with AWS cloud platform and their data-related services.
• You are proficient in monitoring tools (e.g., Datadog, CloudWatch, DevOps Guru, DB Performance Insights).
• You are proficient in one or more programming languages (e.g. Python, Java).
• You have a strong understanding of various performance metrics both at a high level and at a low level like Disk/IO saturation.
• You have experience in identifying and eliminating the bottlenecks in the system.
• You have a strong understanding of database internals like types of indexes, schemas, query plans.
• You have a strong understanding of database systems (e.g., SQL, NoSQL) and experience in managing large-scale data infrastructures.
• At least basic knowledge in automation frameworks (e.g., Terraform, Cloud Formation).
• At least basic knowledge and some hands-on implementation of CI/CD pipelines and DataOps practices.
• You have experience with data governance, compliance, and lifecycle management.
• You have strong problem-solving skills and a proactive approach to identifying and addressing issues.
• You're able to work independently and own projects while effectively collaborating with the team to influence and shape the vision of the data engineering organization.
• You have strong communication skills and can mentor and guide junior engineers.

About the Team

The Database Engineering team is dedicated to ensuring the reliability, scalability, and performance of our data infrastructure. We focus on standardizing and implementing monitoring and alerting across all datastores to track key metrics like errors, latency, and throughput, and to ensure critical systems are covered. Our team also leads efforts to keep databases up-to-date, implements Infrastructure as Code (IaC) for high availability and performance, and automates key processes to enhance operational efficiency.

We lead and evangelize the principle of 100% automation. Additionally, we define and document operational requirements, develop incident response processes, and automate monitoring and compliance checks to maintain a secure and reliable data environment. By continuously improving load testing and optimizing data governance practices, we support the overall health and efficiency of our data systems.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid 

About the Team

The Platform Development organization powers Crunchyroll's core access and security platform. This platform includes authentication and authorization, notifications, and AI runtimes. It enables other teams to safely build fan-facing features on top of a stable, compliant, and leverageable foundation.

The team's mission is to provide reliable, secure fan access across devices and partners, integrate access services with data and compliance orchestration, and evolve notifications and AI inference into reusable platform capabilities that accelerate product and partner launches. We collaborate with product, data, security, client engineering, video, and service monetization teams to deliver seamless and secure experiences for millions of anime fans worldwide.

About the Role

As the Senior Manager, Platform Development, you will report to the VP of Platform Engineering. You will lead a team of software engineers building and operating the core services that govern how fans access Crunchyroll. These services include login, identity, authorization, partner authentication, compliance-aware account flows, notifications, and AI runtimes.

You will own the team's strategy and execution, guiding the decomposition of legacy authentication and IAM into clearer, safer platform services, stabilizing and evolving our notification stack toward a unified orchestration layer, and working with our data team to layer the foundations of a shared AI inference platform. You will lean on your engineering and leadership experience to raise the bar on architecture, reliability, security, and delivery, while hiring and developing a high-performing, inclusive team aligned to Crunchyroll's values.

We are considering applicants based in the San Francisco Bay Area.

Core Responsibilities

Team leadership and people management

• Lead, coach, and grow a team of software engineers, providing clear expectations, feedback, and career development aligned with Crunchyroll's engineering manager career ladder.
• Hire and onboard diverse talent, build an inclusive team culture, and set a high bar for engineering quality, ownership, and collaboration.

Domain ownership: access, notifications, and AI runtimes

• Own the roadmap and execution for Platform Development's core domains: authentication and identity, authorization, notifications, and AI runtimes, ensuring these services are reliable, secure, and easy for other teams to adopt.
• Partner with Data and security teams to integrate access services with compliance orchestration for GDPR/DSAR and age-assurance requirements, including data wipe/anonymization and age-based access controls in key markets.
• Define and maintain SLOs, on-call practices, and incident response workflows for your services, in partnership with SRE/DevOps and Engineering Operations.

Platform architecture and modernization

• Lead the decomposition of existing account-auth and IAM systems into well-bounded services (core auth, client policies, consent, risk/security), laying the groundwork for future capabilities like passkeys, social login, and targeted friction models.
• Guide the evolution of notifications from legacy systems toward a modern, observable Universal Notification Orchestrator, starting with critical flows such as OTP and security/compliance messaging.
• Collaborate with Data and AI/ML teams to define the vision and reference architecture for a shared AI inference platform, supporting multi-model serving, observability, and cost management for risk, security, and experience optimization use cases.

Cross-functional collaboration and stakeholder management

• Work closely with product management, program management, and partner teams to translate fan and business outcomes into a clear, prioritized roadmap for Platform Development.
• Partner with client, video, and partner engineering to improve authentication success, account linking flows, and time-to-first-play across distribution channels and devices.
• Communicate status, risks, and tradeoffs clearly to senior leadership, ensuring alignment on priorities and visible impact to fan experience, regulatory posture, and platform leverage.

Operational excellence and continuous improvement

• Ensure your team designs for observability, security, and operability, embedding testing, monitoring, alerting, and runbooks into all critical services.
• Use incident and operational data to drive learning and durable improvements, in partnership with SRE and Engineering Operations (RCA, standards, and best practices).
• Contribute to and adopt shared engineering practices across Platform Engineering, including multi-account AWS patterns, GitHub security, and self-service infrastructure and deployment workflows.

About You

We get excited about candidates, like you, because:

• You have 10+ years of experience building and operating cloud-native backend or platform services at scale, and 4+ years of experience managing engineering teams.
• You have deep experience with at least one major cloud provider (preferably AWS) and modern application architectures (microservices, event-driven systems), including APIs, queues, and data stores.
• You are proficient in one or more backend programming languages (such as TypeScript, Go, Java, or Python) and can meaningfully review designs and code with your team.
• You have led teams responsible for authentication, identity, authorization, notifications, or similar consumer access domains, with a strong understanding of security, fraud, and trust considerations.
• You are comfortable partnering on compliance and data protection topics (e.g., GDPR/DSAR, data retention, age assurance) and integrating technical systems with policy and regulatory requirements.
• You have experience working with or around AI/ML production systems—such as inference runtimes, model deployment, or ML-powered risk/scoring systems—or are eager to learn and partner closely with ML/AI teams in this area.
• You can synthesize complex tradeoffs for technical and non-technical audiences, and build trust across teams and time zones.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

• Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models.
• Define and drive the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.
• Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams.
• Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.
• Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects.
• Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness.
• Own operational metrics around model impact, latency, cost, and system scalability.
• Foster a strong team culture centered on innovation, curiosity, collaboration, and continuous learning.

About You

We get excited about candidates, like you, because...

• Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
• 8+ years of industry experience in data science or applied ML, with 4+ years of people leadership experience.
• Proven track record of delivering production ML systems that solve real-world business problems.
• Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
• Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
• Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
• Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
• A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

About the Team

At Crunchyroll, our Cloud Reliability team within the Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable. Cloud Reliability team members will engage directly with development teams on helping them become empowered and effective at delivering on our Infrastructure.

About the role

As a Staff DevOps Engineer within the Infrastructure Engineering team, you are essential in automating and scaling the systems and services that power our streaming platform. You will work with our DevOps team, delivery teams and lead projects related to infrastructure automation, scaling, CICD, driving them forward to completion and ensuring that the platform processes, automation and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery and architecture / infrastructure. You are expected to be highly collaborative working across teams to understand the needs, establish best practices and automate them whenever possible. You will also play a key role in partnering with our development teams and understanding their needs and assisting them in their journey.

You will report to the Senior Manager, Cloud Reliability - Infrastructure Engineering. We are considering applicants for our Los Angeles, CA or San Francisco, CA offices. We work a hybrid schedule, in-office 3 days a week.

About you

The ideal candidate for the Staff DevOps Engineer role has a strong background in DevOps, automation, infrastructure as code and enabling software engineers to deliver independently and safely at scale. You have experience in building and scaling high-availability systems, with a focus on operational excellence. This role involves leading and mentoring other engineers, collaborating with cross-functional teams, and continually improving our technology platform and infrastructure. Your ability to excel in a collaborative environment sets an example for fellow engineers, contributing to a culture of high quality and standards in all aspects of our work.

Requirements:

• At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
• 12+ years of relevant experience in DevOps and infrastructure management.
• 8+ years working in production environments, combining DevOps and software engineering.
• 5+ years of experience managing containerized infrastructure in ECS or Kubernetes.
• Proficiency in automation, creating reusable patterns and solutions.
• Expertise in GitOps practices and CI/CD, including tools like GHA & CodeDeploy and infrastructure automation within CI/CD.
• 5+ years experience in AWS and its major services such as ECS, S3, SQS, Lambda, containerization, utilizing Infrastructure as Code (IaC) such as Pulumi and Terraform.
• Proficient in programming in TypeScript with familiarity of other languages such as Go or Python.
• Familiarity with relational databases (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., DynamoDB).
• Experience guiding software engineers in production best practices, sharing knowledge across teams.
• Design and deployment experience with data sovereignty-driven designs (e.g., GDPR).
• Collaboration with other engineers to build tools and systems supporting services and facilitating high-quality software delivery.

Pluses:

• Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
• Familiarity with big data and payments domain.
• Understand security concepts such as cryptography, authentication, authorization, and security protocols.
• Experience with Vault, Packer or other HashiCorp tools.
• Knowledge, or working experience with GCP.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid