B.S. degree in Computer Science or related discipline.
4+ years of experience as professional software engineer.
Strong software development fundamentals (data structures, algorithms, etc.).
Intimate knowledge of JS ecosystem (tooling, libraries, etc.).
Expert level familiarity with Node.js
Expert level familiarity with React (web frontend, server-side rendering, and React Native on mobile platforms).
Deep understanding of performance implications and scalability of code.
Keenness for writing good, meaningful tests and maintaining thorough test coverage.
Experience with large, complex code bases and know how to maintain them.
Strong intermediate+ level of English
Experience with GraphQL and Apollo
High-level compensation and regular performance based salary and career development reviews;
Medical insurance (health), employee assistance program;
Paid vacation, holidays and sick leaves;
Gym 24/7, personal fitness instructor;
Massage in the office, personal wellness consultant;
English classes with native speakers and partially or fully reimbursed personal training and conferences;
Team building and a lot of fun to take a break, relax, and give you the freedom to think beyond the next line of code.
We are looking for an experienced software developer who loves tackling convoluted problems and coming up with clean, stable solutions that scale. The ideal candidate would be someone who has a genuine passion for designing and implementing elegant software solutions. He would also be intimately familiar (and up to date) with his development ecosystem for making sound decisions when it comes to choosing the right tool or library for the job. We expect our senior engineer to be able to contribute across the entire product stack, as well as collectively oversee the integrity of the codebase.
Technology (fintech) company based in USA (San-Francisco, Silicon Valley), that leverages unique data/integrations to create a magical experience for consumers purchasing financial products. Using the technology, buying financial products (such as insurance, loans, etc) is as easy as sending an SMS text message. We have built cool technology to enable buying and underwriting insurance and loan from one piece of data about a user (cell phone number).
Technology Stack of the project:
GraphQL API (no REST)
PostgreSQL DB (transactional)
ClickHouse (columnar DB for data warehousing)
Redis (session storage, task queue management)
Sequelize ORM (exploring Prisma as a potential replacement)
Jest test runner
Infrastructure: Docker images orchestrated with Kubernetes, Ksonnet. Currently, all hosted on AWS.