Cloud and Things

Cloud and Things

Full Stack Developer

Albany, New York, USA · full-time

Sponsorship not specified$95k-$108kDetected 112 days ago
JavaAngularSpringFull-Stack DevelopmentCode ReviewAWSRESTComplianceRecruiting

About the role

  • Our team is on the forefront of helping to solve the government''s most complex IT challenges.
  • If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things. *This is an exempt position.

Responsibilities

  • This role will be expected to develop Java Spring Boot microservices, Angular user interfaces, and AWS solutions, while helping move legacy systems to containerized microservices using AWS EKS and cloud-native architecture.
  • The ideal candidate will have 2-5 years of relevant experience, strong troubleshooting skills, and the ability to deliver practical solutions, including testing new tools and technologies through proof of concepts.

Requirements

  • 5 years of experience as a Full Stack Developer Between 2.

Skills

  • Salary commensurate with experience*
  • Assist in migrating applications from monolithic architecture to containerized microservices using AWS EKS and cloud-native solutions.
  • Troubleshoot, analyze, and resolve issues related to EKS microservices and application performance.
  • Participate in code reviews and help improve application reliability, scalability, and maintainability.
  • Support application deployment, testing, and ongoing system enhancements.

Compensation

  • $95,000 - $108,000 We are seeking a Full Stack Developer who will support our client with application modernization by building, improving, and maintaining cloud-based applications.

Visa & Work Authorization

  • may store your resume in our Applicant Tracking System (ATS) indefinitely for future job matching opportunities You may opt out of long-term ATS storage by emailing your name and your request to opt out of storing your r
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This listing is sourced directly from Cloud and Things's careers page and normalized into a canonical job model.