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Tier-1 brand, popular mid-level backend title, generalist Python/Go and Kubernetes skills increase candidate competition.
Backend and cloud-native skills transfer across industries, though security focus slightly raises domain bias.
Explicit 2–4 years requirement plus mandatory Python/Go and Kubernetes skills raises filter strictness.
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Design, develop, deploy, and maintain scalable backend services and APIs with a focus on reliability, performance, and maintainability.
Own full service lifecycle including development, deployment, scaling, monitoring, and production troubleshooting in cloud-native and containerized environments.
Collaborate with cloud infrastructure teams on workload deployment, configuration, and operational troubleshooting, with active involvement in Kubernetes cluster management and incident response.
2 to 4 years of professional experience in backend or distributed systems software development.
Proven experience with Python or Go for building production-grade backend services and APIs.
Hands-on experience deploying, scaling, and troubleshooting containers and Kubernetes; familiarity with cloud platforms (GCP experience is a plus).
Strong debugging and troubleshooting skills with ability to perform root-cause analysis on distributed systems.
Work Experience Required: 2 to 4 years
Experienced in full lifecycle backend service ownership including development, deployment, monitoring, and incident management in production environments.
Comfortable working at scale with cloud-native architectures, container orchestration (Kubernetes), and operational reliability engineering.
Demonstrates curiosity and practical application of AI tools to improve workflows and problem-solving in software engineering contexts.