Senior Software Engineer (Golang) in Saudi Arabia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer (Golang) in Saudi Arabia.

You will join a high-performance platform engineering environment focused on building and scaling distributed systems that power critical blockchain infrastructure at global scale. In this role, you will take full ownership of backend services and platform capabilities, from early design and architecture through to production deployment and ongoing optimization. You will work on systems that enable reliable provisioning, operation, and scaling of blockchain nodes, with a strong emphasis on performance, observability, and resilience. This position combines deep backend engineering with platform thinking, requiring a strong sense of ownership and product impact. You will collaborate closely with DevOps, product, and customer-facing teams to translate operational challenges into scalable technical solutions. The environment is highly technical, fast-moving, and increasingly AI-driven, with a strong focus on automation and engineering efficiency. Your work will directly shape how developers and enterprises interact with blockchain infrastructure.

• Own end-to-end development of platform features, including discovery, design, implementation, testing, deployment, and production operations.
• Translate customer and operational challenges into scalable backend and infrastructure solutions, improving provisioning, reliability, observability, and performance.
• Design and build distributed backend systems in Go, ensuring scalability, fault tolerance, and operational efficiency.
• Define and track key platform metrics such as deployment success rate, provisioning time, system reliability, and infrastructure utilization.
• Collaborate with cross-functional teams including DevOps, product, support, and infrastructure to evaluate trade-offs and prioritize platform improvements.
• Identify system bottlenecks and reliability risks, driving long-term architectural and operational improvements from concept to production.
• Apply AI-augmented engineering practices to accelerate development, testing, documentation, and operational analysis while maintaining high correctness standards.

• 5+ years of software engineering experience, with strong focus on backend systems, distributed systems, platform engineering, or DevOps environments.
• Strong production experience with Golang or similar backend programming languages.
• Proven experience owning complex engineering projects end-to-end in production environments.
• Deep understanding of distributed systems, event-driven architectures, asynchronous processing, and reliability engineering principles.
• Hands-on experience with messaging or streaming systems such as Kafka, NATS, or RabbitMQ.
• Experience deploying and operating services in Kubernetes and containerized environments.
• Familiarity with infrastructure-as-code tools such as Terraform, Helm, or Terragrunt.
• Strong understanding of observability practices including logging, monitoring, alerting, and incident response.
• Experience working in CI/CD-driven environments with a focus on automation and developer productivity.
• Strong AI-native engineering mindset, with practical use of coding assistants, automation tools, and AI workflows to improve productivity and system quality.
• Excellent written and verbal communication skills in English.

• Competitive compensation in USD with transparent, experience-based salary structure.
• Equity and stock option plan allowing participation in long-term company growth.
• Fully remote, flexible work environment with global collaboration.
• AI-first engineering culture that emphasizes automation and productivity enhancement.
• Opportunity to work on cutting-edge blockchain and Web3 infrastructure technologies.
• Flat organizational structure with strong ownership and minimal bureaucracy.
• Flexible working hours focused on output and impact rather than fixed schedules.
• International, diverse team operating across multiple time zones and regions.