Golang Developer
Summary
Onsite GoLang developer role in Woodland Hills, CA or Mason, OH focused on designing and maintaining scalable, high-performance backend applications and microservices in Go, using REST APIs, Docker/Kubernetes, SQL/NoSQL databases, and cloud platforms like AWS, Azure, or GCP.
Role GoLang Developer
Location Woodland Hills, CA | Mason, OH (Onsite)
Fulltime
Job Description
Must Have Technical/Functional Skills
Role Overview
Experienced GoLang Developer with expertise in designing, developing, and maintaining scalable, high-performance applications and microservices using Golang. Strong background in REST APIs, cloud-native development, distributed systems, containerization, and database technologies. Proven ability to work in Agile environments and deliver robust, secure, and efficient software solutions.
Key Skills:
- Strong proficiency in Go (Golang).
- Experience with Microservices Architecture and REST APIs.
- Knowledge of Docker, Kubernetes, and containerized deployments.
- Experience with SQL/NoSQL databases.
- Familiarity with Git, CI/CD tools, and Agile methodologies.
- Understanding of cloud platforms (AWS/Azure/GCP).
- Strong debugging, analytical, and problem-solving skills.
Preferred Skills
- Experience with Kafka, RabbitMQ, or other messaging systems.
- Exposure to distributed systems and event-driven architectures.
- Knowledge of security best practices and performance optimization.
- Experience with Terraform, Helm, or Infrastructure as Code (IaC) tools
Roles & Responsibilities
- Design, develop, test, and maintain applications using Golang.
- Build and enhance RESTful APIs and microservices.
- Implement clean, scalable, and high-performance backend solutions.
- Work with databases such as PostgreSQL, MySQL, MongoDB, or DynamoDB.
- Integrate applications with cloud platforms (AWS, Azure, or GCP).
- Collaborate with cross-functional teams including product, QA, and DevOps.
- Develop unit tests and ensure code quality through reviews and automation.
- Deploy and monitor applications using Docker, Kubernetes, and CI/CD pipelines.
- Troubleshoot production issues and optimize application performance.