Senior GoLang Developer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GoLang Developer based in United States.

This is a senior backend engineering opportunity focused on building scalable, resilient, and high-performance software systems.
You will design and develop core services using Go while helping shape architecture and long-term technical direction.
The role combines hands-on engineering with systems-level problem solving across distributed systems, APIs, data, and cloud infrastructure.
You will work closely with product, DevOps, frontend, and engineering leadership to deliver reliable end-to-end solutions.
You will also contribute to engineering standards around testing, observability, CI/CD, performance, and cloud-native deployment.
As a senior technical contributor, you will mentor other engineers, guide architectural decisions, and help resolve complex production challenges.
This is a fully remote, full-time position designed for an experienced engineer who enjoys ownership, technical depth, and meaningful influence.

Accountabilities:

• Design, develop, and maintain high-performance backend services and core platform components using Go.
• Architect and implement scalable distributed systems and microservices with a strong focus on reliability, resilience, scalability, and observability.
• Optimize APIs, data pipelines, and service-to-service communication to improve system performance and efficiency.
• Apply engineering best practices across code quality, automated testing, CI/CD, deployment, and cloud-native development.
• Design and guide technical solutions involving system architecture, data modeling, infrastructure, and service integration.
• Build and maintain APIs and communication patterns using REST, gRPC, GraphQL, and/or event-driven architectures.
• Collaborate with product managers, DevOps engineers, frontend developers, and engineering leaders to deliver cohesive end-to-end solutions.
• Lead technical discussions and make informed architectural decisions that support both current product needs and long-term engineering strategy.
• Investigate and resolve complex production issues, including performance bottlenecks, service failures, and distributed-system reliability challenges.
• Contribute to technical roadmaps and help define long-term platform and engineering priorities.
• Mentor junior and mid-level engineers through code reviews, technical guidance, architectural discussions, and knowledge sharing.
• Help establish and continuously improve development practices around observability, reliability, maintainability, and operational excellence.

Requirements

• 5-8+ years of backend software engineering experience, including at least 3 years of hands-on professional Go development.
• Strong command of Go, including concurrency patterns, goroutines, channels, memory management, and idiomatic coding practices.
• Demonstrated experience designing and building distributed systems and microservices at scale.
• Strong knowledge of API and service communication technologies such as REST, gRPC, GraphQL, and event-driven architectures.
• Extensive experience with at least one major cloud platform, such as AWS, GCP, or Azure.
• Practical experience with Docker, Kubernetes, and cloud-native deployment environments.
• Strong knowledge of SQL and NoSQL databases, caching technologies, and message-queue systems.
• Experience building CI/CD pipelines, automated testing frameworks, and production observability solutions.
• Familiarity with tools such as Prometheus, Grafana, and OpenTelemetry is highly valuable.
• Ability to write clean, maintainable, reliable, and idiomatic Go code.
• Excellent systems-thinking and problem-solving abilities, with the capacity to navigate complex technical challenges.
• Strong communication skills and confidence leading technical discussions with engineers and cross-functional stakeholders.
• Experience with high-throughput and low-latency systems is preferred.
• Background in DevOps, infrastructure-as-code, or Site Reliability Engineering (SRE) practices is a plus.
• Experience with Kafka, NATS, RabbitMQ, or comparable messaging technologies is advantageous.
• Knowledge of Domain-Driven Design (DDD) and/or clean architecture is beneficial.
• Contributions to open-source Go projects are a plus.
• Must be based in the United States and authorized to work as a U.S. citizen or permanent resident without requiring visa sponsorship .

Benefits

• Fully remote, full-time work environment.
• Opportunity to work on mission-critical enterprise software, data, and AI solutions.
• Significant technical ownership and influence over architecture, engineering practices, and long-term product direction.
• Collaboration with experienced engineering, product, DevOps, and technology professionals.
• Opportunity to mentor engineers and contribute to the development of technical teams.
• Exposure to modern distributed systems, cloud-native infrastructure, observability, and AI-enabled technology environments.
• Ability to contribute to technically challenging projects where scalability, resilience, security, and performance are critical.
• Opportunity to grow as a senior technical leader while remaining hands-on with software development.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?


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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.