Design, build, and maintain scalable REST/GraphQL APIs and backend microservices with Node.js. Work on system architecture, schema design, integrations, CI/CD deployments to cloud, monitoring, performance tuning, and incident resolution while collaborating with frontend, QA, product, and DevOps teams.
API & Backend Development
- Design, develop, and maintain RESTful and/or GraphQL APIs using Node.js.
- Build scalable, secure, and performant backend services and microservices.
- Integrate third-party systems, internal services, and databases.
- Use best practices for error handling, logging, caching, and performance optimization.
Architecture & System Design
- Participate in architectural planning and technical design discussions.
- Implement clean, maintainable, well-documented code following industry standards.
- Contribute to system design decisions around scalability, reliability, and security.
Database & Data Layer
- Work with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis).
- Design efficient schemas, write optimized queries, and implement ORM/ODM solutions.
Collaboration & Deployment
- Collaborate with frontend engineers, QA, product managers, and DevOps teams.
- Participate in code reviews, sprint planning, and technical documentation.
- Support CI/CD processes and deployment to cloud environments (AWS, GCP, Azure).
Monitoring & Maintenance
- Implement monitoring, logging, and alerting using tools like Prometheus, Grafana, Datadog, or similar.
- Diagnose and resolve performance bottlenecks, outages, and production issues.
- Ensure reliability, security, and compliance standards across backend systems.
Qualifications
Required
- 3–5+ years of hands-on backend development experience.
- Strong proficiency in Node.js, JavaScript/TypeScript, and modern backend frameworks (e.g., Express, NestJS, Fastify).
- Experience building and maintaining APIs at scale.
- Solid understanding of microservices, serverless architectures, and distributed systems.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Strong knowledge of databases (SQL and NoSQL).
- Experience with Git, CI/CD pipelines, and automated testing.
- Familiarity with API documentation tools (Swagger/OpenAPI).
Preferred
- Experience with event-driven architectures (Kafka, RabbitMQ, SNS/SQS).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience with OAuth2, JWT, and security best practices.
- Familiarity with performance tuning and application profiling.
- Experience with infrastructure-as-code (Terraform, CloudFormation).
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Information Technology
Sell CDW Security services and products across the full sales lifecycle. Develop strategic account plans, build relationships with enterprise clients and partners, manage pipeline and forecasts in Salesforce, coordinate cross-functional resources, mentor junior sellers, represent CDW at events, and achieve bookings, revenue, and profit targets while tracking market trends and driving customer security program adoption.
Top Skills:
AICloud SecurityData PrivacyEmerging Security TechnologiesIdentity And Access ManagementPhysical SecuritySalesforceSecure InfrastructureThird-Party Risk ManagementThreat And Vulnerability Management
Information Technology
Sell CDW Security services and products, manage full sales lifecycle, develop strategic account plans, build and grow client and partner relationships, coordinate internal resources, maintain Salesforce pipeline and forecasts, mentor junior sellers, represent CDW at industry events, and meet bookings, revenue, and profit targets.
Top Skills:
AICloud SecurityCyber Workforce DevelopmentEmerging Security TechnologiesIdentity And Access ManagementPhysical SecurityPrivacyRisk And ComplianceSalesforceSecure InfrastructureThird-Party Risk ManagementThreat And Vulnerability Management
Information Technology
Sell CDW Security services and products through full sales lifecycle management: strategic account planning, opportunity qualification, relationship building, partnering with services and OEMs, pipeline forecasting, and closing. Mentor junior team members, engage partners and marketing, maintain Salesforce, represent CDW at industry events, and drive revenue, bookings, and gross profit targets.
Top Skills:
Salesforce
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
