Senior Go Engineer

About the role

This role focuses on designing, developing, and maintaining Go-based backend services, including APIs and internal processing components for a scientific and computational platform. The work involves extending APIs to support scientific workflows and ensuring system reliability through robust observability systems and proactive issue resolution.

The successful candidate will deploy, operate, and troubleshoot services within Kubernetes environments, specifically AWS EKS. This includes defining key system metrics, building dashboards, and setting up alerting mechanisms. Collaboration with platform and infrastructure teams is crucial for seamless integration with cloud-native systems.

Success in this position means contributing to system design discussions with an emphasis on scalability, reliability, performance, and observability. It also involves monitoring production systems, resolving incidents, improving CI/CD pipelines, and writing clean, well-tested code. Mentoring junior engineers is also part of the role.

The compensation for this full-time senior role is listed between $115,000 and $195,500 USD.

Skills that matter here

• Go: This role requires strong experience in building production-grade backend systems using Go.
• Kubernetes: The engineer will deploy, operate, and troubleshoot services in Kubernetes environments, preferably AWS EKS.
• AWS: Working knowledge of AWS services like EKS, EC2, S3, IAM, and VPC is necessary for cloud-native integration.
• RESTful APIs: The position involves designing and implementing RESTful APIs to support scientific and computational workflows.
• Linux: Strong Linux fundamentals are needed for troubleshooting system-level issues.
• Git: Proficiency with Git is required for modern development workflows and contributing to CI/CD pipelines.

Who this role suits

• A person with a strong background in building and operating scalable backend services.
• Someone who thrives in a cloud-native environment and has experience with Kubernetes in production.
• An engineer who values system reliability and proactively implements observability practices.
• An individual who enjoys collaborating on system design and mentoring less experienced team members.

From the employer

• Design, develop, and maintain Go-based backend services, including APIs and internal processing components
• Build and extend APIs supporting scientific and computational workflows
• Deploy, operate, and troubleshoot services in Kubernetes (EKS) environments
• Implement and maintain observability systems (logging, monitoring, alerting) to ensure system reliability and performance
• Define key system metrics, build dashboards, and set up proactive alerting mechanisms
• Collaborate with platform and infrastructure teams to ensure smooth integration with cloud-native systems
• Participate in system design discussions with a focus on scalability, reliability, performance, and observability
• Monitor production systems and proactively resolve incidents and performance issues
• Contribute to and improve CI/CD pipelines and deployment workflows
• Write clean, maintainable, well-tested code following engineering best practices
• Support and mentor junior engineers when needed

• Strong hands-on experience building production-grade backend systems in Go
• Proven experience with Kubernetes (preferably AWS EKS) in production environments
• Solid background in designing and implementing RESTful APIs or similar service interfaces
• Strong understanding of cloud-native architecture principles
• Experience working with production observability stacks (e.g., Prometheus, Grafana, CloudWatch, ELK, OpenTelemetry)
• Working knowledge of AWS services (EKS, EC2, S3, IAM, VPC, etc.)
• Strong Linux fundamentals and ability to troubleshoot system-level issues
• Proficiency with Git and modern development workflows
• Strong debugging and root-cause analysis skills across application and infrastructure layers
• Working hours must overlap with US Pacific Time (12:00 PM – 5:00 PM PST)

• Competitive compensation
• Remote work
• Flexible working hours
• A team with excellent tech expertise