Staff Software Engineer - Backend

About the role

About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.

Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

Staff Software Engineer

In order to execute our vision, we need to grow our team of best-in-class engineers. We are looking for developers who are excited about launching new products and features into production, who can work autonomously and aren’t afraid to try new technologies, and who don’t back down from the challenges of scale. Our ideal candidate has experience building core services and web-based APIs from the ground up, cares just as much about the product itself as the technology that powers it, and is capable of both structuring and writing clean, maintainable code.

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Responsibilities

Design, implement or improve features in a variety of backend systems including our REST APIs, microservices, data ingestion and processing systems, and distributed task/job processing systems

Write and maintain scalable, performant and secure code that can be shared across platforms

Meaningfully contribute to the product and core backend systems by suggesting and executing improvements

Improve engineering standards, tooling, processes and security

Practice test-driven development

Debug production issues across services and multiple levels of the stack

Participate in on-call rotations, as needed, to ensure prompt and effective resolution of critical technical issues

Utilize OWASP top 10 techniques to secure code from vulnerabilities

Maintain awareness of industry best practices for data maintenance handling as it relates to your role

Adhere to policies, guidelines and procedures pertaining to the protection of information assets

Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Minimum Requirements

You have a Bachelor's Degree in computer science or a related field

You have 8+ years of experience building web applications

You have successfully implemented highly-available distributed systems/microservices

You have delivered scalable backend APIs

You have strong interpersonal and communication skills with a bias towards action

Preferred Requirements

Master’s degree or PhD in Engineering, Computer Science, or a related technical field

Hands on technical leadership experience leading project teams and setting technical direction

Experience architecting and developing solutions to ambiguous problems with significant impact

Interest and ability to learn other coding language

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Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Deploy and we hope to meet you soon!

The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.