Hive Logo

Hive

Staff Software Engineer - Backend

Reposted 28 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-300K Annually
Senior level
In-Office
San Francisco, CA, USA
200K-300K Annually
Senior level
The Staff Software Engineer will design, implement, and improve backend systems and APIs, focusing on scalability, security, and maintainability. Responsibilities include debugging, improving standards, and participating in on-call rotations.
The summary above was generated by AI
About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

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 Hive, 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 Hive 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

Yesterday
In-Office
San Francisco, CA, USA
157K-235K Annually
Senior level
157K-235K Annually
Senior level
Big Data • Cloud • Marketing Tech • Social Impact • Software
Lead the design and evolution of LiveRamp’s petabyte-scale activation backend. Build and optimize distributed batch and streaming data pipelines using Spark, cloud infrastructure, warehouses, workflow engines, and messaging systems. Drive multi-tenant scheduling, reliability, observability, performance, cost efficiency, and production excellence. Define technical strategy, mentor engineers, collaborate across teams, and adopt AI-enhanced development and operations tooling.
Top Skills: AirflowSparkAutoscalingBigQueryCachingCadenceCloud ComputingContainerizationData PipelinesDataprocDistributed SystemsGoGoogle Cloud PlatformGoogle Cloud StorageGoogle Kubernetes EngineIamJavaKafkaKubernetesPub/SubRedpandaScalaSinglestoreSnowflakeSQLStreamingTemporal
Yesterday
In-Office
Sunnyvale, CA, USA
267K-297K Annually
Senior level
267K-297K Annually
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
Architect and scale high-concurrency backend systems for Uber’s financial products. Lead technical direction, system architecture, code reviews, reliability, testing, and maintainability while partnering with product, design, and business leaders. Build globally scalable, secure financial transaction frameworks and mentor senior engineering teams. The role requires 10+ years of software engineering experience and expertise in Go, Java, or C++.
Top Skills: Automated TestingC++Distributed SystemsGoJava
Yesterday
In-Office
Sunnyvale, CA, USA
267K-297K Annually
Senior level
267K-297K Annually
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
Architect and scale high-concurrency backend systems for Uber’s financial products. Provide technical leadership, guide architecture and code reviews, ensure reliability, champion testing and maintainability, and build resilient frameworks supporting global-scale financial transactions. Collaborate with Product, Design, and Business leadership while mentoring senior engineers and delivering mission-critical financial services capabilities.
Top Skills: Automated TestingC++Distributed SystemsGoJava

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account