Backend Software Engineer, B2B Applications
WFA Digital Insight
The demand for skilled backend engineers with expertise in AI and machine learning has skyrocketed, with a 25% increase in job openings in the last year alone. As companies like OpenAI continue to push the boundaries of what's possible with AI, the need for talented engineers who can design and scale complex systems has never been greater. With the rise of remote work, candidates now have more opportunities than ever to join innovative companies like OpenAI and work on cutting-edge projects that can impact millions of people worldwide. Before applying, candidates should be prepared to showcase their experience with distributed systems, proficiency in languages like Python or Go, and a passion for building reliable and secure infrastructure.
Job Description
About the Role
As a Backend Software Engineer at OpenAI, you will play a critical role in designing and scaling the systems that power the company's B2B applications. You will be part of a team that is pushing the boundaries of what's possible with AI and machine learning, and your work will have a direct impact on the company's mission to make AGI beneficial for all of humanity. The role involves collaborating closely with product, research, and infrastructure teams to bring new AI capabilities to production, ensuring performance, safety, and compliance at a global scale.The team you will be joining is responsible for building and operating the products that bring OpenAI's cutting-edge research to millions of companies and developers worldwide. You will be working on large-scale distributed systems, databases, APIs, and data pipelines, and will be expected to own the end-to-end development lifecycle for new platform capabilities and integrations.
What You Will Do
- Design and implement scalable and secure backend systems that can handle large volumes of data and traffic
- Collaborate with product and research teams to develop new AI capabilities and bring them to production
- Work on building and maintaining large-scale distributed systems, databases, and APIs
- Develop and implement data pipelines and workflows to support the company's products
- Ensure performance, safety, and compliance of the systems you design and implement
- Collaborate with external customers and partners to understand their needs and implement effective solutions
- Work with the research team to improve the next generation of AI models
- Participate in code reviews and contribute to the improvement of the codebase
- Troubleshoot and debug complex issues in the systems you design and implement
What We Are Looking For
- 5+ years of professional engineering experience in relevant roles at tech and product-driven companies
- Proficiency in one or more backend languages such as Python, Go, Rust, or TypeScript
- Experience with distributed systems concepts and large-scale system design
- Strong understanding of reliability, safety, and performance in production environments
- Interest in AI and machine learning, with direct experience not required
- Proven ability to thrive in fast-growing, product-driven companies and navigate loosely defined tasks and competing priorities
- Strong communication and collaboration skills, with experience working with cross-functional teams
- Experience with cloud-based infrastructure and containerization technologies such as Docker and Kubernetes
- Familiarity with agile development methodologies and version control systems such as Git
Nice to Have
- Experience as a founder or early engineer at a startup, with a track record of building and scaling complex systems
- Knowledge of AI and machine learning concepts, with experience developing and deploying AI models
- Experience with data pipelines and workflows, with a strong understanding of data processing and storage
- Familiarity with security and compliance frameworks, with experience implementing secure systems and protocols
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health insurance and benefits package
- Generous PTO and vacation policy
- Flexible working hours and remote work options
- Opportunities for professional growth and development, with a strong focus on learning and innovation
- Access to cutting-edge technology and tools, with a budget for professional development and training
- Collaborative and dynamic work environment, with a team of talented and passionate engineers
- Opportunity to work on complex and challenging problems, with a direct impact on the company's mission and products
How to Stand Out
- Make sure to highlight your experience with distributed systems and large-scale system design, as these are critical components of the role.
- Be prepared to talk about your experience with AI and machine learning, and how you have applied these concepts in previous roles.
- Showcase your proficiency in backend languages such as Python, Go, or Rust, and be prepared to provide examples of your code.
- Emphasize your ability to work collaboratively with cross-functional teams, and provide examples of times when you had to communicate complex technical concepts to non-technical stakeholders.
- Be prepared to talk about your experience with agile development methodologies and version control systems such as Git.
- Consider creating a portfolio of your work, with examples of complex systems you have designed and implemented, and be prepared to walk the interviewer through your code and design decisions.
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