Golang Job: Software Engineer

RESPONSIBILITIES:

• As a Software Engineer in Near Real-Time Data platform, you will join a team of engineers, scrum masters and product owners to envision and deliver innovative, seamless solutions that enable software engineers, data engineers in building streaming solutions. You will be involved in designing and building secure, highly scalable, and innovative backend services in a continuous delivery model. This role will partner with leads and architects to deliver services that are robust, architecturally sound, easily maintainable, and highly scalable for various workloads. You will also be responsible for helping customers of the platform in migrating and transitioning to the newly built capabilities.
• The successful candidate is a proven software engineer with excellent communication and teamwork skills and the ability to multitask, innovate and challenge conventional thinking.

WHAT YOU WILL WORK ON

• Finish building the Streaming platform capabilities that uses Java, Go, K8s
• Build tools to enable migration from prior versions to the latest version of Streaming platform using any of the languages, primarily Python
• Help customers migrate their code to the latest Streaming platform by reviewing their code, and submitting pull requests to their code base. The customers code base could be in any of the languages used at Nike including Java, Go, Node.js, Python

WHAT YOU BRING

• 5+ years software development experience designing, developing, and testing complex solutions and code in Web technologies such as Java, Python, Golang, Node.js or similar
• Experience working in a distributed/cloud-based environment, especially AWS with service like S3, Route 53, ELB/ALBs, SQS/SNS
• Prior experience in designing and implementing web services
• Experience in micro service architecture, domain driven design, and RESTful Services using languages such as Golang or Java
• Experience building container applications using Docker is required
• Deploying to Kubernetes, ECS and Kubernetes operator development experience preferred
• Exposure to streaming technologies such as Kafka, NiFi, Spark Streaming, Flink preferred
• Experience with continuous integration, unit testing, static analysis, and automated integration tests. Continuous delivery experience is preferred
• Working knowledge of Scrum and agile principles
• Comfortable working in a fast-paced, results-oriented environment
• Commitment to and hands-on experience in performing technical code reviews
• Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical teams