Software Engineer, Caching Infrastructure

Backend Engineer · Senior · Full Time

San FranciscoUSD 230k – 385k12mo ago
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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 have

    Strong Go development skills for backend systems

  • Rust

    Nice to have

    Experience with Rust for performance-critical components

  • Cloud Platforms

    Nice to have

    Experience with AWS, GCP, or Azure infrastructure

  • AI/ML Infrastructure

    Nice to have

    Understanding of AI model serving and inference infrastructure

  • Database Systems

    Nice to have

    Knowledge of PostgreSQL, ClickHouse, or other database technologies

  • Network Programming

    Nice to have

    Low-level networking and protocol implementation experience

Tech stack

Languages

GoPythonRustC++

Frameworks

gRPCProtocol Buffers

Databases

RedisMemcachedPostgreSQLClickHouse

Tools

KubernetesEnvoyTerraformPrometheusGrafanaJaegerDockerHelm

Other

Redis ClusterConsistent HashingLoad BalancersService MeshAutoscaling

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.

  1. 01

    Initial Screening

    30-minute recruiter call covering background, interest in OpenAI, and basic technical experience

  2. 02

    Technical Phone Screen

    60-minute technical interview focusing on distributed systems design and caching concepts

  3. 03

    System Design Interview

    90-minute session designing a large-scale caching infrastructure with Redis clustering and Kubernetes

  4. 04

    Code Implementation

    75-minute coding interview implementing cache algorithms, consistency patterns, or performance optimization

  5. 05

    Cross-Team Collaboration

    45-minute behavioral interview with infrastructure team focusing on collaboration and communication

  6. 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.

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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.

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