Software Engineer, Observability

Backend Engineer · Senior · Full Time

San FranciscoUSD 255k – 405k5mo ago
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Role

What you'll do.

OpenAI is seeking a Software Engineer for their Observability team to build large-scale monitoring and AI-powered debugging tools. This role involves developing infrastructure to handle petabytes of logs and billions of metrics while creating intelligent systems that help engineers detect and resolve issues autonomously. The position requires expertise in distributed systems, full-stack development, and experience with observability technologies.

Responsibilities

  • Infrastructure Ownership: Own core observability infrastructure including distributed logging, time series databases, and trace storage systems handling petabytes of data
  • AI-Native Tool Development: Build AI-powered tools that help engineers detect, understand, and resolve production issues autonomously using machine learning techniques
  • UI Experience Development: Contribute to user interface experiences including dashboards, notebook-style interfaces, and interactive debugging tools for internal engineers
  • Cross-Functional Collaboration: Collaborate closely with engineers, researchers, user operations teams, and other departments to build next-generation observability products
  • System Reliability: Ensure the reliability and performance of OpenAI's production systems through comprehensive observability and monitoring solutions
  • Data Pipeline Management: Design and maintain data pipelines that ingest and process billions of time series metrics and massive log volumes in real-time
  • Problem-Solving Leadership: Take ownership of unscoped, ambiguous problems and drive them to completion in a fast-paced AI research environment

Qualifications

What we look for.

Technical

  • Distributed Systems Experience

    Proven experience operating large-scale distributed systems in production environments, especially logging systems or time series databases

  • Systems Fundamentals

    Strong fundamentals in systems architecture, networking protocols, and cloud infrastructure technologies

  • Cloud Platform Expertise

    Hands-on experience with cloud platforms, particularly AWS, and container orchestration using Kubernetes

  • Full-Stack Development

    Full-stack development capabilities or strong product sensibilities for building user-facing tools and applications

  • Observability Technologies

    Experience with observability systems such as Prometheus, OpenTelemetry, Grafana, or similar monitoring and tracing tools

Education

  • Computer Science Degree

    Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience

Experience

  • Production Systems

    5+ years of experience building and maintaining production-grade distributed systems at scale

  • Infrastructure Engineering

    Demonstrated experience in infrastructure engineering with focus on reliability, scalability, and performance optimization

  • Problem-Solving Ability

    Track record of thriving in ambiguous environments and successfully solving complex, unscoped technical problems

Skills

Required

  • Distributed Systems

    Deep understanding of distributed system design patterns, consistency models, and scalability challenges

  • Infrastructure Programming

    Proficiency in systems programming languages like Go, Rust, or Python for building scalable infrastructure

  • Cloud Architecture

    Experience designing and implementing cloud-native architectures on AWS, GCP, or Azure

  • Database Systems

    Knowledge of time series databases, distributed storage systems, and query optimization techniques

  • Monitoring and Observability

    Hands-on experience with monitoring tools, metrics collection, distributed tracing, and log aggregation

Preferred

  • AI/ML Integration

    Nice to have

    Experience integrating machine learning models into production systems for intelligent automation

  • Frontend Development

    Nice to have

    React, TypeScript, or similar frontend technologies for building observability dashboards and user interfaces

  • Open Source Contributions

    Nice to have

    Contributions to observability open source projects like Prometheus, Grafana, OpenTelemetry, or similar tools

  • Performance Optimization

    Nice to have

    Experience with performance profiling, optimization techniques, and handling high-throughput data systems

  • DevOps Practices

    Nice to have

    Knowledge of CI/CD pipelines, infrastructure as code, and automated deployment strategies

Tech stack

Languages

PythonGoJavaScript/TypeScriptSQL

Frameworks

KubernetesReactOpenTelemetry

Databases

PrometheusClickHouseElasticsearchInfluxDB

Tools

DockerGrafanaJaegerAWS

Other

Distributed TracingTime Series AnalysisLog AggregationAI/ML Pipelines

Compensation

Pay and benefits.

Base·USD 255,000 – 405,000

Equity·Stock options

Benefits

  • Equity Compensation

    Stock options and equity participation in one of the world's most valuable AI companies

  • Comprehensive Health Coverage

    Full medical, dental, and vision insurance with premium coverage options

  • Flexible Time Off

    Unlimited PTO policy allowing for work-life balance and personal time

  • Professional Development

    Learning and development budget for conferences, courses, and skill advancement in AI and engineering

  • AI Research Access

    Direct access to cutting-edge AI research and early access to OpenAI's latest models and technologies

  • Innovation Culture

    Opportunity to shape the future of AI observability and work on problems that impact millions of users

  • Team Collaboration

    Work alongside world-class researchers, engineers, and product teams in a collaborative environment

Process

Interview steps.

  1. 01

    Initial Screening

    Phone or video call with talent acquisition team to discuss background, motivation, and basic technical qualifications

  2. 02

    Technical Phone Interview

    45-60 minute technical discussion covering distributed systems concepts, observability challenges, and coding fundamentals

  3. 03

    System Design Interview

    Design session focused on building large-scale observability infrastructure, handling petabyte-scale data, and AI integration patterns

  4. 04

    Coding Interview

    Live coding session implementing algorithms related to data processing, time series analysis, or infrastructure problems

  5. 05

    Cross-Functional Collaboration

    Interview with team members from different functions (research, product, ops) to assess collaboration and communication skills

  6. 06

    Final Round

    Meeting with engineering leadership to discuss technical vision, career goals, and cultural fit within OpenAI's mission

Full posting

Original listing.

Join the engineering teams that bring OpenAI’s ideas safely to the world!!

The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs.

We’re hiring software engineers across the stack—infra, backend, and product. You’ll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable.

What You’ll Do

  • Own core observability infrastructure, including distributed logging, time series, and trace storage

  • Build AI-native tools that help engineers detect, understand, and resolve issues autonomously.

  • Contribute to UI experiences like dashboards, notebooking, or interactive debugging

  • Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product

You Might Be a Fit If You:

  • Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases)

  • Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems.

  • Have full-stack chops or product sensibilities—you're excited to build real tools people use.

  • Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc).

  • Bonus: built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc).

Why This Team

  • We’re both an infra and product team—building a real AI application for internal use.

  • Your work will directly power the reliability of GPT-based products at massive scale.

  • You'll help define what "AI-powered observability" looks like at one of the world’s most advanced AI labs.

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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