Software Engineer, Caching Infrastructure
Backend Engineer · Senior · Full Time
Opens OpenAI's application page
Role
What you'll do.
OpenAI is seeking a Senior Software Engineer to design and scale their multi-tenant caching infrastructure that powers ChatGPT, APIs, and other AI products. The role involves building high-availability distributed caching systems using Redis/Memcached and Kubernetes to support inference, identity, and product experiences across OpenAI's platform.
Responsibilities
- Platform Architecture: Design, build, and operate OpenAI's multi-tenant caching platform used across inference, identity, quota, and product experiences
- Strategic Planning: Define the long-term vision and roadmap for caching as a core infrastructure capability, balancing performance, durability, and cost
- Cross-Team Collaboration: Collaborate with infrastructure teams (networking, observability, databases) and product teams to ensure caching platform meets their needs
- Performance Optimization: Optimize cache performance, minimize tail latency, and ensure high availability across diverse use cases
- Scalability Engineering: Build autoscaling systems that dynamically adjust to workload demands while maintaining cost efficiency
- System Monitoring: Implement comprehensive observability, monitoring, and alerting for distributed caching infrastructure
- Capacity Planning: Analyze usage patterns and plan infrastructure capacity to support OpenAI's growing AI model deployment needs
- Incident Response: Participate in on-call rotation and lead incident response for caching infrastructure issues
Qualifications
What we look for.
Technical
Distributed Systems
5+ years experience building and scaling distributed systems with focus on caching, load balancing, or storage
Redis/Memcached Expertise
Deep expertise with Redis, Memcached including clustering, durability configurations, client-side connection patterns, and performance tuning
Kubernetes Production
Production experience with Kubernetes, service meshes (Envoy), and autoscaling systems
Performance Engineering
Rigorous thinking about latency, reliability, throughput, and cost in platform design
Network Protocols
Strong understanding of networking fundamentals, TCP/IP, load balancing, and service discovery
Education
Computer Science Degree
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
Experience
Senior Engineering
5+ years in senior software engineering roles with increasing responsibility
Infrastructure Scale
Experience building infrastructure serving millions of users or high-throughput AI/ML workloads
Fast-Paced Environment
Ability to thrive in fast-paced environment balancing pragmatic engineering with long-term technical excellence
Skills
Required
Redis/Memcached
Expert-level knowledge of distributed caching systems
Kubernetes
Production experience with container orchestration
Distributed Systems
Deep understanding of consensus algorithms, consistency models, and fault tolerance
Performance Engineering
Experience with latency optimization and throughput scaling
Service Mesh
Hands-on experience with Envoy, Istio, or similar technologies
Monitoring & Observability
Proficiency with Prometheus, Grafana, and distributed tracing
Preferred
Go Programming
Nice to haveStrong Go development skills for backend systems
Rust
Nice to haveExperience with Rust for performance-critical components
Cloud Platforms
Nice to haveExperience with AWS, GCP, or Azure infrastructure
AI/ML Infrastructure
Nice to haveUnderstanding of AI model serving and inference infrastructure
Database Systems
Nice to haveKnowledge of PostgreSQL, ClickHouse, or other database technologies
Network Programming
Nice to haveLow-level networking and protocol implementation experience
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 230,000 – 385,000
Equity·Stock options
Benefits
Equity Compensation
Significant equity package in one of the world's leading AI companies
Health Insurance
Comprehensive medical, dental, and vision coverage
Learning Budget
Professional development and conference attendance budget
Flexible PTO
Unlimited paid time off policy
Parental Leave
Generous parental leave for new parents
Commuter Benefits
Transportation and parking assistance
Wellness Programs
Mental health support and wellness initiatives
AI Research Access
Early access to cutting-edge AI models and research
Process
Interview steps.
- 01
Initial Screening
30-minute recruiter call covering background, interest in OpenAI, and basic technical experience
- 02
Technical Phone Screen
60-minute technical interview focusing on distributed systems design and caching concepts
- 03
System Design Interview
90-minute session designing a large-scale caching infrastructure with Redis clustering and Kubernetes
- 04
Code Implementation
75-minute coding interview implementing cache algorithms, consistency patterns, or performance optimization
- 05
Cross-Team Collaboration
45-minute behavioral interview with infrastructure team focusing on collaboration and communication
- 06
Leadership Discussion
60-minute final interview with engineering leadership covering vision, technical direction, and culture fit
Full posting
Original listing.
About the Team
At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.
The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.
We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.
In This Role, You Will:
Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.
Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.
Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.
You Might Thrive In This Role If You:
Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.
Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.
Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.
Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.
Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Redirects to OpenAI's application page.
Other roles
More at OpenAI.
Manager, Forward Deployed Engineer (FDE), Life Sciences
Manager
Manager, Forward Deployed Engineer - Tokyo
Manager
Software Engineer, Ads Integrity
Senior
Forward Deployed Engineer - Zurich
Senior
Software Engineer, Conversion Measurement
Senior