Back-End Engineer

Industry: Healthtech
Remote
Company size: 251-10K
Full-time/Part-time
salary
Not disclosed

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Job description

A fast-growing company cultivating a community of developers dedicated to creating high-quality software that benefits the health-conscious is looking for a Back-End Engineer. The engineer will contribute to managing the infrastructure and improving data pipelines. The company is building well-considered and well-architected products that enable users to engage in their health and partake in secure insurance choices. They have managed to raise close to $150mn during their Series D round of funding.

 

Job Responsibilities:

  • Use current frameworks and security standards, create unique B2C, B2B, and internal BPO software solutions
  • Create new solutions and re-architect existing ones to make them more scalable, fault-tolerant, and secure
  • Define and develop features to improve business efficiency in collaboration with key stakeholders and technical leadership
  • Understanding complicated systems and improving them with the newest technologies and patterns
  • Lead the development of essential subsystems and ensure that they are constantly improved
  • Complete the whole SDLC, which includes requirements analysis, architectural and design specifications, service development, code review, testing, and delivery

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 4+ years of relevant experience as a back-end engineer
  • Extensive experience with Typescript/Node, Ruby, Java, Python, or other server-side object-oriented languages
  • Experience with web frameworks like Express, Rails, Spring, and Django
  • Knowledge of API standards like GraphQL, REST, and OAuth
  • Extensive data storage experience like SQL, NoSQL, Redis, OLTP, and Data Lake
  • Prior deployment experience with Serverless, Containerization, and CICD
  • Experience and in-depth knowledge of scalability, latency, stability, and performance 
  • An innate ability to understand the trade-offs between acceptable offerings and costs

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