As a Full Stack Engineer, you will develop web applications using Node.js and React, ensuring quality performance while collaborating with teams to implement features.
As a Fullstack Developer specializing in Node.js and React, you will be an essential part of our engineering team, working on both client-side and server-side applications. Your primary focus will be to develop user interfaces and implement server-side logic, creating seamless integrations between the two. Collaborative problem-solving, sophisticated design, and a commitment to quality products are essential in our fast-paced, dynamic environment.
Responsibilities:
- Design and develop web applications using Node.js and React.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure the performance, quality, and responsiveness of applications.
- Work with modern tools and technologies, maintaining code quality, organization, and automation.
- Identify and correct bottlenecks, fix bugs, and optimize performance.
- Participate in brainstorming sessions and contribute ideas to technology, algorithms, and products.
- Collaborate closely with design and engineering teams to translate end-user requirements into effective technical solutions.
- Embrace and solve complex challenges, delivering results on schedule.
Requirements:
- Ideally have technical skills with at least 5 years of experience in Node.js and React.
- Familiarity with REST and RESTful APIs, micro-services.
- Experience with databases, both SQL and NoSQL.
- Version control: GIT.
- Nice to have technical skills (Strongly advised): Containers (Docker, Kubernetes), Caching (Redis), Scaling, Web load balancing.
- Experience in a rapidly growing company in the mobility, on-demand, or fintech space is a plus.
- BSc/MSc in Engineering, Computer Science, or relevant field.
Top Skills
Docker
Git
Kubernetes
Node.js
NoSQL
React
Redis
Rest
SQL
Yassir Palo Alto, California, USA Office
Hamilton Avenue, Palo Alto, California, United States, 94301
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves leading technology projects, optimizing distributed systems, collaborating on cloud-based solutions, and mentoring others while leveraging various technologies to enhance services.
Top Skills:
AWSCassandraDockerGoKafkaNode.jsOpensearchPostgresPython
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Business Analyst on the AI/ML team at Velocity Black, you will analyze data, support model governance, and collaborate with cross-functional teams to enhance product offerings through AI and ML tools.
Top Skills:
AIMlSQL
Fintech • Machine Learning • Payments • Software • Financial Services
Collaborate on Agile teams to develop cloud-based solutions using various programming languages and technologies, mentoring others and staying current on tech trends.
Top Skills:
AWSAzureDockerGCPGoJavaKubernetesNode.jsNoSQLOpen Source RdbmsPythonScalaSQL
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
