Senior Software Engineer (Golang)

Overview

Accountabilities

• 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.

Requirements

• 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.

Benefits

• 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.

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