Simple Technology Solutions (STS) is looking for a Sr. Full Stack Developer to add to our team. The salary range for this position is $110k – $130k based on education, years’ experience, and certifications.

Quick overview:

  • This position is full-time & remote with the possibility of occasional travel
  • US Citizenship and ability to obtain a Public Trust Clearance is required
  • A Bachelor’s degree and at least7years’ position related experience is required

The Role

In this role, we are looking for a strong technical leader with demonstrable experience solving problems, supporting and modernizing systems, and developing innovative solutions. The ideal candidate is an excellent communicator who has experience in building, deploying and managing large scale enterprise applications in a microservices environment. To succeed in this role, one must have extensive experience in AWS, front and back-end languages, databases, and DevOps. To succeed as an STS team member, one must be collaborative, have a desire for (and commitment to) life-long learning, and be comfortable working on an Agile team.

The Sr. Full Stack Developer at STS will:

  • Deploy and maintain production enterprise applications in AWS
  • Work in a Continuous Integration/Continuous Delivery environment
  • Support and update existing codebase to meet business needs
  • Work with customers to evaluate technical requirements

Experience & Education:


  • US Citizenship
  • Bachelor’s degree with at least 7 years of position related experience
  • Demonstrable experience with the following:
    • Front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
    • Back-end languages (e.g. C#, Java, Python)
    • JavaScript frameworks (e.g. Angular, React, Node.js)
    • Databases (e.g. SQL Server, MySQL, MongoDB)
    • Web servers (e.g. Apache)
    • UI/UX design
    • Full project life cycle starting with requirements gathering all the way to unit testing and system documentation
    • Extensive DevOps experience

Nice to have experience

  • Data science
  • Machine learning
  • Data engineering
  • Kafka
  • Zuul and or Apigee
  • Cloudbees Jenkins