Senior/Principal Golang Engineer

We are seeking an experienced Senior/Principal Golang Engineer with strong proficiency in Go and concurrent programming. The ideal candidate will lead the design and development of complex software systems, utilizing advanced knowledge of concurrency control, cloud-native technologies, and distributed architectures. Key skills include strong troubleshooting, innovative problem-solving, and process optimization. The role requires a quick learner with a proactive attitude, capable of leveraging AWS, SQL, CircleCI, and GitHub for architectural improvements and enhancements.

Key Responsibilities:

• Lead the design and development of complex software systems using Golang, with a strong focus on concurrent programming, scalability, and performance optimization.
• Architect and manage cloud-native applications using AWS, ensuring reliable, secure, and efficient infrastructure.
• Streamline software development and deployment by implementing CI/CD pipelines with CircleCI and managing version control through GitHub.
• Optimize SQL database performance, ensuring efficient data management and query responsiveness.
• Collaborate with cross-functional teams (DevOps, Product, QA) to deliver high-quality, end-to-end solutions aligned with business objectives.
• Troubleshoot and resolve complex issues in both development and production environments, providing timely and effective solutions.
• Drive problem-solving strategies to enhance the performance and efficiency of distributed systems and streamline operational processes.
• Implement coding best practices, ensuring high-quality, maintainable, and scalable code across all development efforts.
• Foster innovation by proactively exploring and implementing out-of-the-box solutions to overcome technical challenges and improve system architecture.
• Manage production releases, ensuring seamless deployments, collaboration, and communication across teams and also continuously improving future releases through feedback and lessons learned.
• Mentor and guide teams, fostering a collaborative and communicative environment to meet project goals and enhance team workflows.
• Use AI to rapidly transform the requirements into a functional reality.
• Ultra-fast prototyping and initial production deployment within a matter of days, leveraging generative AI.
• Instantly identifying technical flaws in AI-generated code or UI, and then correcting and improving them.

Qualifications:

• 5+ years of software engineering experience, including 3+ years of Golang development with a strong focus on concurrent programming (goroutines, channels).
• Proficient in Go programming, with demonstrated expertise in concurrency control, troubleshooting, and performance optimization for large-scale systems.
• Experience with cloud-native technologies, particularly AWS, as well as Docker and Kubernetes for infrastructure management.
• Strong proficiency in SQL databases with proven ability in query optimization for high-performance systems.
• Hands-on experience with CI/CD pipelines using CircleCI (or similar tools) and version control with GitHub.
• Adept at troubleshooting and optimizing distributed systems and architectures, ensuring performance and scalability.
• Proven ability to streamline architecture and processes, driving long-term scalability and efficiency.
• Experience with designing and managing RESTful APIs and microservices architecture.
• Demonstrated success in leading production releases, managing timelines, ensuring quality, and fostering team collaboration.

Preferred Skills:

• Experience with monitoring and logging tools such as Prometheus, Grafana, or the ELK Stack for system performance tracking and analysis.
• Strong knowledge of security best practices in cloud-native environments, ensuring robust infrastructure protection.
• Familiarity with message brokers like Kafka or RabbitMQ, particularly in event-driven architectures.
• Proficiency in continuous integration and automated testing practices, ensuring reliable and efficient deployments.
• Hands-on experience with Docker and Kubernetes, especially in micro-services architecture for scalable application management.
• Experience integrating and orchestrating LLMs within application workflows, including prompt engineering and managing asynchronous AI responses.
• Proven ability to build interfaces or services that interact with AI agents, focusing on efficient data exchange, state management, and handling non-deterministic outputs.
• Hands-on experience working with AI APIs (e.g., OpenAI, Anthropic, or LangChain) to develop agentic features or build internal AI agents that enhance user capabilities and automate complex tasks.
• Practical background in software engineering or a related field (technical institution that enables you to build things on your own). A basic understanding of and familiarity with the B2B business domain.