Remote Software Engineer II

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Description:

  • Measured is a 100% remote-first company that helps DTC brands grow by providing insights into media's incremental contribution to business outcomes.
  • The engineering program operates in an agile and iterative manner, allowing for maximal creative freedom and ownership.
  • The team consists of experienced members who have a strong background in architecting machine learning and big data systems.
  • The role involves solving complex real-world problems and requires a passion for software engineering.

Requirements:

  • Candidates must have 4+ years of production software experience.
  • A BA/BS degree or equivalent experience is required.
  • Experience with cloud platforms, preferably AWS, and understanding of services like ECS, Lambda, EKS, SecretsManager, and RDS is necessary.
  • Proficiency in design and development using languages such as Java, Kotlin, Javascript, Typescript, or Python, with a willingness to learn other languages is essential.
  • Understanding of microservices and serverless architectures with containerized deployments is required.
  • Experience with relational and NoSQL data stores, including MySQL, Postgres, or Redshift, is necessary.
  • Candidates should have a solid understanding of programming concepts, including iterative design, functional and object-oriented programming, and software design patterns.
  • Familiarity with software development best practices, including unit testing and continuous delivery, is required.
  • A desire to apply agile development principles in a fast-paced startup environment is essential.
  • Strong teamwork and communication skills are necessary.

Benefits:

  • Employees enjoy the flexibility of a fully remote work environment.
  • The company fosters a culture of creativity and ownership, allowing engineers to express themselves and excel in their careers.
  • Team members have the opportunity to work on innovative projects that impact the marketing measurement industry.
  • The role offers the chance to collaborate with experienced professionals in the field of machine learning and big data systems.
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