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Metro, mid-level cloud role with common Golang/Kubernetes/AWS skills yields moderate competition.
Cloud, Kubernetes and AWS skills are broadly transferable across industries.
Explicit 2–5 years plus mandatory Golang, Kubernetes and AWS increases filtering strictness.
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Design, develop, test, and deploy cloud-based data processing systems including ingest pipelines and ETL workflows for automotive data.
Build and maintain backend services primarily using Golang and support production workloads running on Kubernetes and AWS.
Investigate and resolve issues in distributed and legacy systems while collaborating with cross-functional teams to improve reliability, scalability, and performance.
2–5 years of hands-on experience in backend, cloud, or platform engineering roles.
Strong hands-on experience with Golang (Python is a plus but Golang required).
Proven experience working with Kubernetes and AWS in production environments.
Bachelor’s degree in Computer Science, Computer Engineering, or related field.
Experienced in building or supporting data processing/ETL pipelines at scale, preferably with automotive or telemetry domain exposure.
Comfortable working with distributed systems, especially in cloud environments using Kubernetes, AWS, and microservices.
Skilled in backend service development with Golang, with additional knowledge of Python and database schema design (MySQL/MongoDB).