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.
