Golang Architect

• Design and develop cloud-based solutions focusing on backend services using Go (Golang).
• Architect, implement and maintain cloud infrastructure leveraging modern cloud platforms such as AWS, GCP, Azure, or similar.
• Create scalable, secure, and reliable microservices-based architectures.
• Collaborate with DevOps teams to ensure seamless CI/CD pipelines and automated deployment strategies.
• Monitor cloud systems to ensure stability and performance, applying proactive measures to prevent issues.
• Develop APIs and work closely with front-end developers to ensure smooth integration.
• Conduct code reviews, enforce best practices, and mentor junior developers.
• Stay updated with the latest trends in cloud computing and backend development.
• Lead the decision-making process for cloud infrastructure and backend services.
• Ensure adherence to security best practices and compliance requirements.

• Solid experience in backend development, specifically with Go (Golang).
• Strong expertise in designing, building, and maintaining scalable cloud-native applications.
• Experience with cloud platforms like Microsoft Azure.
• Knowledge of microservices architecture and experience implementing microservices in a production environment.
• Expertise in RESTful APIs development, integration, and best practices.
• Proficiency in CI/CD pipelines, containers (Docker), and orchestration tools like Kubernetes.
• Solid understanding of SQL and NoSQL databases.
• Familiarity with distributed systems and event-driven architecture.
• Strong understanding of cloud security best practices and architecture patterns.
• Excellent problem-solving skills and a deep understanding of system performance and tuning.
• Ability to handle multiple competing priorities in a fast-paced environment
• Highly communicative English skills both written and spoken
• Personal initiative, commitment, perseverance, and resilience**

Will be a plus:

• Experience with Serverless architectures (e.g., AWS Lambda, Google Cloud Functions).
• Exposure to Terraform or other infrastructure such as Code (IaC) tools.
• Knowledge of message queues (e.g., Kafka, RabbitMQ) and event streaming systems.
• Familiarity with GraphQL.
• Understanding of multi-cloud or hybrid cloud environments.
• Knowledge of Go frameworks such as Gin, Echo, or Revel.
• Experience in machine learning or data engineering on the cloud.