Design, build, and improve scalable backend systems, REST APIs, microservices, data processing pipelines, and distributed task systems. Write secure, maintainable code, contribute to product and engineering improvements, practice test-driven development, debug production issues, participate in on-call rotations, and apply security best practices including OWASP Top 10 techniques.
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.
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.
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
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.
Similar Jobs
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, implement, operate, and improve highly available backend services and distributed systems at significant scale. Collaborate across teams to deliver product solutions, test and debug code, and promote availability, scalability, operational excellence, security, and cost management. Investigate incidents, provide technical leadership, and use AI-assisted engineering workflows while maintaining production-quality standards.
Top Skills:
Ai ToolsAmazon Web ServicesC++Cloud ComputingData StorageDistributed SystemsGCPJavaKubernetesMachine LearningMemcacheMicroservicesNatural Language ProcessingNetworkingNoSQLPythonRedis
Artificial Intelligence • Legal Tech • Professional Services • Software
Build and operate Harvey’s shared backend platform, including internal frameworks, libraries, APIs, service templates, and versioned interfaces. Improve scalability through asynchronous I/O and streaming, while embedding authorization, observability, reliability, and data governance. Collaborate with Model Infrastructure on GenAI workloads and with Developer Experience, Infrastructure, and product engineering teams to establish reliable paved-road development practices, documentation, and tooling.
Top Skills:
APIsAsyncioAutomated TestingCachingCi/CdDistributed SystemsFastapiFlaskKafkaMessagingMetricsMicroservicesNosql DatabasesPythonRedisSQLStatic TypingTracingVector Databases
Big Data • Cloud • Logistics • Machine Learning • Retail
Leads the design, development, and delivery of scalable backend, data, infrastructure, tooling, and AI/ML platform capabilities. Responsibilities include cloud-native architecture, full software lifecycle ownership, system design reviews, coding, testing, deployment, monitoring, maintenance, and AI-driven application development. The role mentors engineers, influences technical decisions, collaborates cross-functionally, and drives continuous engineering improvement for Walmart Fulfillment Services.
Top Skills:
Ai/Ml FrameworksAPIsCi/CdCloud-Native ArchitectureContainersData EngineeringJavaMicroservicesPython
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
