Senior Software Engineer, GraphQL in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, GraphQL in the United States.

This is an exciting opportunity for an experienced backend engineer to help shape the future of large-scale GraphQL infrastructure powering millions of daily user interactions. The role focuses on building and scaling foundational API systems that support high-performance, distributed applications across global environments. Working within a highly collaborative engineering culture, the successful candidate will contribute to the development of scalable backend architecture, improve developer tooling, and enhance platform reliability, observability, and performance. This position combines deep technical problem-solving with strategic influence, offering the opportunity to work on complex distributed systems and cutting-edge infrastructure challenges. Candidates will collaborate closely with talented engineers while mentoring peers, contributing to technical direction, and supporting platform evolution at massive scale. The role is ideal for professionals passionate about backend systems, cloud infrastructure, GraphQL technologies, and developer experience.

• Design, develop, and maintain scalable GraphQL infrastructure and distributed backend systems supporting large-scale applications.
• Build and optimize platform solutions to improve GraphQL performance, reliability, scalability, and developer ergonomics.
• Contribute to the evolution of federated GraphQL architecture and support deployment across global data center environments.
• Improve observability, monitoring, and operational efficiency across backend infrastructure and request coordination systems.
• Collaborate with cross-functional engineering teams to deliver high-impact platform enhancements and infrastructure improvements.
• Investigate system performance issues and implement solutions to optimize latency, resilience, and scalability.
• Contribute to technical strategy discussions and help shape the future direction of backend platform architecture.
• Mentor and support fellow engineers through technical guidance, collaboration, and knowledge sharing.
• Participate in on-call rotations and operational support responsibilities to maintain platform reliability.

• Minimum of 5 years of experience designing and building large-scale distributed backend systems.
• Strong programming expertise in Go or other general-purpose programming languages.
• Experience working with cloud infrastructure and modern engineering environments, including Kubernetes, CI/CD pipelines, AWS, or GCP.
• Proven ability to lead or contribute to high-impact technical projects aligned with broader business and platform strategies.
• Strong understanding of backend architecture, distributed systems, and scalable API development.
• Excellent communication and collaboration skills with the ability to work effectively across engineering teams.
• Experience with GraphQL backend systems, federated GraphQL architecture, or related technologies is highly preferred.
• Familiarity with complex data modeling and large-scale platform infrastructure is considered a strong advantage.
• Strong problem-solving mindset with the ability to navigate ambiguous technical challenges in fast-paced environments.

• Competitive base salary range of $190,800 – $267,100 USD annually.
• Eligibility for equity compensation and additional performance-based rewards.
• Comprehensive medical, dental, and vision healthcare coverage.
• 401(k) retirement plan with employer matching.
• Flexible remote-first work environment with optional office access.
• Generous paid vacation, parental leave, and volunteer time off.
• Mental health, coaching, and wellness support programs.
• Family planning and gender-affirming care benefits.
• Professional development support and workspace benefits tailored to individual needs.
• Inclusive, collaborative, and community-driven engineering culture.
• Opportunity to work on high-scale systems impacting millions of daily users worldwide.