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Tier-1 brand, metro location, mid-level generalist role, and hybrid work raise candidate competition.
Requires deep Kubernetes, cloud, and distributed-systems expertise, making cross-industry fit limited.
Explicit 5+ years requirement plus mandatory Kubernetes and cloud skills make filters highly strict.
Design and build scalable, high-performance cloud-native platforms for distributed workloads using Spark and Airflow.
Develop, operate, and optimize microservices on Kubernetes ensuring reliability, scalability, and resource efficiency.
Own feature lifecycle end-to-end including design, development, testing, deployment, and production support with leadership on technical decisions and mentoring.
5+ years experience designing and building distributed, scalable production systems.
Strong hands-on expertise in Kubernetes including scheduling, autoscaling, and networking (mandatory).
Proficiency in Java or Golang with strong data structures and algorithms fundamentals.
Experience with at least one major cloud platform (AWS or Azure).
Experienced in scaling and improving large-scale data-intensive platforms and pipelines.
Skilled in troubleshooting complex production issues with a systems-thinking approach and improving system observability.
Capable of leading technical design discussions and mentoring junior engineers in cloud-native distributed environments.