Design and build scalable backend systems and APIs, improve engineering standards, ensure code security, and debug production issues at Hive.
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!
About the Role
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
Requirements
- You have a Bachelor's Degree in computer science or a related field
- You have a few years of experience building web applications
- You have experience or a strong interest in writing applications in Node.js
- You have experience implementing highly-available distributed systems/microservices
- You have experience building scalable backend APIs
- You have experience working with relational databases, Postgres preferred
- Understanding monitoring and alerting platforms is a plus
- You strongly believe in high code quality, automated testing, and other engineering best practices
- You have attention to detail and a passion for correctness
- You are comfortable learning new technologies and systems
- You have strong interpersonal and communication skills with a bias towards action
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 $120,000 - $180,000. 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
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.
Top Skills:
APIsAWSC#Cloud-Native ArchitecturesDistributed SystemsGoogle Cloud Platform (Gcp)Integration TestingJavaPerformance TestingUnit Testing
Logistics • Transportation • 3PL: Third Party Logistics
Build AI/ML-powered consumer products and scalable distributed systems for Uber’s grocery and food experiences. Drive projects from scoping and experimentation through deployment and maintenance, while designing and optimizing systems and algorithms at scale. Collaborate with product, operations, and data science stakeholders to deliver measurable customer and business outcomes.
Top Skills:
Ai/MlDistributed SystemsGoJavaPython
eCommerce • Fintech • Logistics • Retail
Design, build, deploy, and maintain highly scalable workflow platform infrastructure supporting distributed fulfillment systems. Benchmark platforms, monitor reliability, manage capacity, maintain 99.995% uptime, and lead incident response. Analyze open-source platform components, resolve critical system issues, improve operational excellence, and collaborate across teams. The role also involves coaching engineers, gathering requirements, and developing technical designs for mission-critical, high-throughput backend services.
Top Skills:
AWSCassandraJavaMySQLNetflix ConductorNoSQLSpring FrameworkSQLTemporal
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute



