Job Description

Position: Sr. Software Engineer - Golang

100% Remote

6 month + Contract

NOTES:

• 5-7 yrs relevant exp
• Refactoring 2 platform solutions for alerts, custom IBM solution

1. Event Management Solution
2. eBonding - system integration allowing for automated, bi-directional exchange of data between applications, streamlining workflows and improving collaboration between Solarwinds and a custom IBM product.

• These platforms support a multi-billion dollar agreement with federal government agencies. They say this solution will be replaced but they've been saying for that about 4 years. Goal is to transfer these two platforms to a ServiceNow based solution.
• Golang with PostGres and RabbitMQ backend (or similar messaging / streaming solution such as Kafka)

Client is seeking a Golang Developer with deep expertise in automation systems, distributed systems, and high-throughput application design to contribute to advanced projects using Temporal. This role requires a highly skilled developer who can work independently, delivering fast, reliable, and maintainable code with minimal guidance. You'll focus on building scalable, resilient systems that integrate seamlessly into our broader infrastructure, ensuring performance, reliability, and automation excellence.

The Main Responsibilities

Golang Development:

• Develop and maintain high-performance, scalable, and clean Golang code.
• Implement advanced concurrency patterns and memory management techniques for optimal efficiency.

Distributed Systems Design

• Design and build high-throughput distributed systems, ensuring fault tolerance, scalability, and performance.
• Designing & implement rate-limiting and throughput optimization algorithms.
• Develop systems that handle large-scale data processing efficiently and reliably.

Automation With Temporal

• Leverage Temporal for orchestrating distributed workflows and building robust automation solutions.
• Design workflows that optimize execution efficiency and minimize latency across services.

Caching & State Management

• Utilize Redis and Memcached to implement efficient caching strategies and improve response times.
• Ensure data consistency and reliability in distributed cache systems.

Containerization & Orchestration

• Build and deploy containerized applications using Docker.
• Manage and optimize Kubernetes clusters, focusing on networking, scaling, and workload security.

Monitoring & Observability

• Set up and maintain monitoring, alerting, and observability systems using Prometheus and Grafana.
• Implement robust logging and tracing mechanisms to troubleshoot and optimize distributed workflows.

Networking & Security

• Develop secure, resilient networking configurations for distributed systems and Kubernetes workloads.
• Understand and apply network protocols, load balancing, and application-layer security best practices.

System Resilience & Performance

• Design systems for self-healing and implement practices like circuit breakers and backpressure handling.
• Proactively identify and resolve bottlenecks, minimizing latency and improving system reliability.

Troubleshooting

• Debug and resolve complex issues across distributed systems, including cloud infrastructure, Kubernetes, and backend services.
• Conduct root cause analysis and implement fixes to ensure long-term system stability.

Ideal Candidate

What We Look For in a Candidate

• Operates with a high degree of autonomy and delivers consistent, high-quality results.
• Excels at balancing system performance, scalability, and maintainability in a distributed environment.
• Demonstrates strong critical thinking and problem-solving skills in complex system environments.
• Thrives in a fast-paced, innovative setting while maintaining a focus on quality and reliability.

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