Senior Software Engineer (Golang)
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Key skills for this role
About the Role
Join a high-performance platform engineering team building distributed systems for blockchain infrastructure. You will own backend services end-to-end, design scalable systems in Go, and collaborate with DevOps and product teams.
Key Skills for This Role
Responsibilities
- 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
- Excellent written and verbal communication skills in English
Full Job Posting
Position Overview
- 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.
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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