Golang Developer

Position : GoLang Developer

Location: Toronto (Hybrid)

Key Responsibilities:

• Coding and Development: Writing, debugging, and maintaining Go code for various applications and systems.
• Backend Development: Building and implementing APIs, microservices, and backend services for web applications and other systems.
• Performance Optimization: Focusing on performance, scalability, and efficiency of applications and systems.
• Concurrency and Parallelism: Utilizing Go's concurrency features to create efficient and responsive applications.
• Testing and Debugging: Running unit tests, integration tests, and debugging code to ensure quality and reliability.
• Collaboration: Working with other developers, designers, and product managers to implement and maintain software.
• Code Reviews: Providing feedback and guidance on code quality and standards.
• Architectural Design: Contributing to the design and architecture of software systems.
• Deployment: Deploying applications to various environments, including cloud platforms.

Essential Skills:

• Go Programming Language: Proficiency in Go syntax, concepts, and best practices.
• Concurrency and Parallelism: Understanding and experience with Go's concurrency features (goroutines and channels).
• REST APIs: Experience with building and consuming REST APIs.
• Microservices: Familiarity with microservices architecture and design.
• Testing: Experience with unit testing, integration testing, and other testing methodologies.
• Problem-Solving: Ability to analyze problems and develop effective solutions.
• Communication: Clear and concise communication skills, both written and verbal.
• Collaboration: Ability to work effectively in a team environment.

Additional Skills (depending on the role):

• Cloud Technologies: Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Containerization: Knowledge of containerization tools like Docker and Kubernetes.
• Database Technologies: Familiarity with relational databases (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB, Cassandra).
• Databases: Experience with different database systems, including relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).