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Backend Engineer

Glocomms

San Francisco, CAFull time5-10 yearsNot Disclosed

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sanagilecloudnosqlarchitecturerestful apiscode coveragesystem design + 3 more

Job Description

Backend Engineer

Location: Remote, must be based in NYC, Seattle, or the San Francisco Bay Area

Employment Type: Full-time

Compensation: Starting at $160,000+


We are looking for a Backend Engineer to join a collaborative engineering team focused on building scalable, high-performance systems. This role is open to engineers across mid-level, senior, and staff-level scope, and is ideal for someone who enjoys working on distributed systems, contributing to core architectural decisions, and delivering reliable software at scale.

You will work closely with cross-functional partners, contribute to backend system design and implementation, and help raise engineering standards through thoughtful execution and collaboration.


Key Responsibilities

  • Design, develop, test, and debug backend components for distributed systems operating at scale
  • Build and maintain services with a focus on performance, reliability, and security
  • Own nonfunctional requirements such as scalability, availability, and resilience
  • Contribute to unit and integration testing with an emphasis on high-quality code coverage
  • Produce clear, well-structured documentation for internal and external use
  • Break down complex technical problems into well-scoped, executable work
  • Collaborate closely with other engineers to apply best practices consistently
  • Participate in Agile development processes to deliver high-quality software solutions


Qualifications

  • 3+ years of professional backend software engineering experience (open to mid-level, senior, and staff-level candidates)
  • Strong programming fundamentals and problem-solving skills
  • Experience designing and building backend services or distributed systems
  • Familiarity with microservices architectures and RESTful APIs
  • Solid understanding of concurrency and multithreaded systems
  • Ability to reason through complex systems and visualize end-to-end flows
  • Demonstrated eagerness to learn and grow while building production-grade systems


Nice to Have

  • Experience working in cloud-native or large-scale infrastructure environments
  • Exposure to NoSQL databases, high-throughput or low-latency systems, or event-driven architectures
  • Background working on data-intensive platforms, analytics systems, or ML-enabled services
  • Experience with Golang in production environments


Compensation & Benefits

  • Base salary starting at $160,000 for mid-level candidates, scaling upward based on seniority and experience
  • Generous bonus and equity packages
  • Remote work environment with access to office space for onsite collaboration and working sessions
  • Opportunity to contribute to high-impact systems with strong ownership

About The Company

Glocomms

Extraordinary technological changes continue to drive the next chapter in human development. The Fourth Industrial Revolution is fundamentally disrupting how we live, work and relate to one another; fusing the physical, digital and biological worlds. There has never been a more significant time to work in technology. At Glocomms, we are proud to be a leading specialist talent partner in this thriving sector. Founded in 2013, we help clients solve the number one challenge: talent. Today, we provide permanent, contract and multi-hire recruitment solutions across commercial services, enterprise solutions, cloud & infrastructure, cyber security, development & engineering, and data & analytics If you would like to talk to us about your current talent needs, please request a call back here and one of our specialist consultants will call you back to discuss your hiring needs: https://www.glocomms.com/request-a-call-back

Company Size1000-5000
HeadquartersNew York
IndustryProfessional Services
TypePrivately Held
SpecialitiesIT, M2M, Cyber Security, Internet of Things (IoT), Mobile to Mobile (M2M), Mobile/ Online Payments, Recruitment, Executive Search, Artificial Intelligence, Software Development, Data Science, DevOps Engineers, Commercial Services , Sales & Marketing, Sales Engineering, machine learning, natural language processing, information security, and engineering

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