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晶睿通訊股份有限公司_台達電子集團

資深後端工程師-1

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Description

We are looking for a highly motivated Senior Backend Engineer with a passion for cloud technologies! If you have extensive backend or cloud development experience and are eager to take on complex challenges while leading the development of scalable systems, this is the perfect opportunity for you. After joining the team, you will play a key role in designing and building a cloud-based video surveillance platform and collaborate with cross-functional partners to develop stable, scalable cloud services.

About the Team
Our team is dynamic and creative, with members from diverse backgrounds, including web developers, backend engineers, and mobile engineers (iOS and Android). We are passionate about developing innovative products that improve lives and make a positive impact on the world. We value teamwork, encourage open communication and knowledge sharing, and are committed to supporting the continuous growth and learning of each team member.

Responsibilities
1. Lead the design and development of cloud services (AWS), write and maintain Go (Golang) code.
2. Lead the development and maintenance of GraphQL and RESTful APIs.
3. Collaborate closely with front-end engineers, UX designers, and PMs to deliver high-quality product features.
4. Manage the maintenance and scaling of both new and legacy systems.
5. Mentor junior engineers and provide guidance on best practices and development techniques.

Requirements
1. At least 4 years of experience in backend or cloud development.
2. Strong expertise in AWS services such as IoT, Lambda, S3, RDS, DynamoDB, Cognito, and message queues such as RabbitMQ or AWS SQS.
3. Proficient in Go (Golang) and experienced in Infrastructure as Code (IaC) development.
4. Strong understanding of TDD, DDD, and Clean Architecture.
5. Experience in learning new tools and technologies, with the ability to apply knowledge across different technical domains.
6. Excellent problem-solving skills, with the ability to propose innovative and practical solutions in a team environment.
7. Expertise in utilizing AI tools to assist development, with practical AI experience and the ability to integrate AI solutions into the development process.

Skills

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