Bright Data Logo

Bright Data

Senior Backend JavaScript Developer - SF

Posted 12 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
Senior level
Hybrid
San Francisco, CA, USA
Senior level
Senior Backend JavaScript Developer role based in San Francisco. The posting provides no substantive details about responsibilities or requirements.
The summary above was generated by AI
Description

We’re looking for exceptional and experienced Senior Backend JavaScript Developers to join our Unblocker team, with deep expertise in Node.js and building production-grade backend services.

In this role, you will take end-to-end ownership of product and feature development, building SaaS applications and services in a microservices architecture, using modern technologies in a fast-paced and professional environment.

Tech Stack:

Node.js, JavaScript, MongoDB, Kubernetes, Redis (including Redis Streams)

*Hybrid position based in San Francisco*

Responsibilities
  • End-to-end feature development, from design and implementation to production rollout and ongoing improvements.
  • Build and operate backend services with a strong focus on scalability, reliability, and performance in a microservices environment.
  • Participate in system design and architecture planning, and contribute to technical decisions across the team.
  • Work with asynchronous, message-driven components using Redis Streams, including debugging, tuning, and ensuring resilient processing.
  • Write high-quality, maintainable code with appropriate test coverage; participate actively in code reviews.
  • Collaborate effectively with teammates and cross-functional stakeholders to deliver high-impact outcomes.
  • Continuously learn, adapt, and stay up-to-date with best practices and evolving technologies.
Requirements
  • 5+ years of hands-on software engineering experience, including 3+ years focused on backend JavaScript / Node.js development.
  • Proven experience building and maintaining SaaS applications and/or production backend services.
  • Experience working in a microservices architecture (service boundaries, APIs, reliability patterns).
  • Hands-on experience with MongoDB and Redis (including practical experience with Redis Streams or similar pub/sub/stream processing).
  • Familiarity with Kubernetes and containerized deployments.
  • Good understanding of system design fundamentals: APIs, data modeling, performance, scalability, and reliability.
  • Fast learner, able to work both independently and as a team player.
  • Strong written and verbal communication skills.

Nice to Have:

  • Experience with AWS and cloud-based production environments.
  • Experience with observability tooling (logging/metrics/tracing) and incident response.
  • Experience with scraping, browser automation, Playwright, Puppeteer, or Selenium.

Similar Jobs

29 Minutes Ago
In-Office
San Francisco, CA, USA
200K-325K Annually
Senior level
200K-325K Annually
Senior level
Artificial Intelligence • Software
Own the AI research roadmap from problem identification through production deployment. Develop LLM and deep learning methods for legal text reasoning, extraction, drafting, redlining, hallucination mitigation, explainability, and efficient inference. Build evaluation datasets and benchmarks, assess emerging techniques, collaborate with Engineering and Product, and communicate findings to technical and non-technical audiences.
Top Skills: Agentic SystemsDeep LearningJaxLlmsLong-Context ModelingModel EvaluationParameter-Efficient Fine-TuningPyTorchQuantizationRetrieval-Augmented GenerationSpeculative DecodingTensorFlow
29 Minutes Ago
In-Office
San Francisco, CA, USA
190K-230K Annually
Mid level
190K-230K Annually
Mid level
Artificial Intelligence • Software
Manage enterprise SaaS customer relationships from onboarding through renewal and expansion. Develop success and recovery plans, drive product adoption, resolve issues, provide training and demonstrations, conduct business reviews, and advocate for customer needs internally. The role requires strategic account ownership, strong communication, retention planning, value-based selling, and experience supporting mid-market and enterprise customers.
Top Skills: Artificial IntelligenceLarge Language ModelsSaaS
29 Minutes Ago
In-Office
San Francisco, CA, USA
180K-200K Annually
Entry level
180K-200K Annually
Entry level
Artificial Intelligence • Software
Conduct applied AI research for legal technology, focusing on LLMs, deep learning, long-context reasoning, contract analysis, information extraction, hallucination mitigation, explainability, and model evaluation. Own research roadmaps, design experiments, build benchmarks, develop prototypes, and ship successful approaches into production with Engineering and Product. Communicate findings to technical and non-technical stakeholders.
Top Skills: Agentic SystemsDeep LearningJaxLlmsLong-Context ModelingModel EvaluationParameter-Efficient Fine-TuningPyTorchQuantizationRetrieval-Augmented GenerationSpeculative DecodingTensorFlow

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