Observability Engineer, OpenAI
$245-385k
+ Equity
3 days a week in office
AI research and development platform
Job no longer available
AI research and development platform
1001+ employees
Job no longer available
$245-385k
+ Equity
3 days a week in office
1001+ employees
Company mission
To ensure that artificial general intelligence benefits all of humanity.
Role
Who you are
- Have a track record of building, operating and accelerating observability systems that empower your fellow engineers, at scale
- Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems
- Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management
- Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services
- Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience)
- Proven proficiency in monitoring tools (e.g., DataDog, Prometheus, Grafana, ELK stack) and cloud platforms (e.g., AWS, Azure, GCP)
- Strong background in software engineering, with expertise in relevant programming languages (like Python, Java, Go) and cloud platforms (like AWS, GCP, Azure)
- Proficiency in programming/scripting languages
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Excellent communication skills are crucial for this role, as it involves interfacing with various stakeholders, presenting findings and plans, and documenting systems and processes
- Experience with microservices architecture and service mesh technologies
- Strong understanding of distributed systems, networking, and database technologies
- Excellent problem-solving skills and ability to work in a fast-paced environment
What the job involves
- As an Observability Engineer, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure
- You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload
- This role requires a blend of technical expertise, strategic thinking, and effective communication to ensure that systems are not only operational but also optimized and aligned with business goals
- Develop and maintain systems that allow for effective monitoring, logging, and tracing of software applications. This includes choosing appropriate tools and technologies, setting up dashboards, and ensuring the scalability and reliability of the observability infrastructure
- Develop and integrate tools for logging, monitoring, and alerting to enhance visibility into system performance. Ensure compatibility and efficiency across various platforms and services
- Collaborate with different engineering teams to integrate observability practices into their workflows
- Regularly analyze system performance and identify areas for improvement. This involves working closely with other engineering teams to understand their needs and challenges and providing insights and solutions for better system performance
- Consistently stay up-to-date with the latest trends in observability, logging, monitoring, and cloud technologies. Introducing innovative solutions and best practices to improve system observability and reliability. Experiment with new tools and practices to enhance the observability landscape
- Participate in strategic planning for the technology roadmap, including scalability, cost-effectiveness, and risk management considerations related to observability infrastructure
- Create comprehensive documentation for observability systems and processes. Prepare reports and insights for management regarding system performance and reliability
Our take
OpenAI aims to research and deploy AGI (Artificial General Intelligence) that is safe, controllable and beneficial to all of humanity. The company began its mission by developing an API that can solve language-based tasks, such as answering written questions or pulling up relevant documents based on a query.
Following the launch of ChatGPT in November 2022, which gained more than 1 million users in its first 5 days and is already worth billions, OpenAI announced a paid version named ChatGPT Plus which will be launched in the US first.
It is worth noting that OpenAI is not without controversy. Its products have sparked conversations regarding the morals and implications of AI tools, and recent investigations have uncovered misalignments between the company's public commitments and its alleged operations behind closed doors.
Whilst AI applications can be found in a vast variety of tech startups, this generally consists of the automation of algorithmic tasks such as data analysis and organization. OpenAI’s approach to designing true human-like artificial intelligence is futuristic, but with support from its high-profile partners (such as Microsoft), an annualised revenue reported at $ 2 billion in 2023, and the clear success of its products have the company well set to continue bringing advanced AI to the public.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Mar 2026
$122bn
LATE VC
Dec 2025
$1bn
LATE VC
Total funding: $191.9bn
Company benefits
- Health/Dental/Vision Insurance
- Flexible spending account for healthcare and dependent care
- Mental healthcare service
- Fertility treatment coverage
- 401(k) with generous matching
- 20-week paid parental leave
- Life insurance (complimentary)
- AD&D insurance (complimentary)
- Short-term/long-term disability insurance (complimentary)
- Optional buy-up life insurance
- Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)
- Annual learning & development stipend
- Regular team happy hours and outings
- Daily catered lunch and dinner
- Travel to domestic conferences
Company HQ
Mission District, San Francisco, CA
Leadership
Sam Altman
(CEO)Former Y Combinator President & Chairman.
Ilya Sutskever
(Chief Scientist)Initially served as the company's Research Director, then became Chief Scientist in 2018. Co-founded DNNResearch and previously worked at Google as a Research Scientist.
Greg Brockman
(President & Chairman)Previously served as CTO of the company. Founding Engineer and former CTO of Stripe.
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