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Mid-level backend role, metro Hyderabad, strong employer brand and broad cloud/distributed skillset increase competition.
Backend and cloud skills are broadly transferable, though cybersecurity and AI-agent experience add some domain bias.
Explicit 4+ years requirement plus mandatory backend, cloud, and distributed systems experience makes filters strict.
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End-to-end ownership of backend system design, development, deployment with focus on quality, automation, and continuous improvement.
Drive scalability, efficiency, and reliability by introducing new architectures and best practices in production-grade distributed systems.
Build monitoring, tooling, and observability to ensure system health and proactively resolve issues while balancing rapid iteration with long-term maintainability.
Minimum 4+ years of professional software engineering experience focused on backend or distributed systems.
Experience building and operating production-grade distributed systems at scale in cloud environments such as AWS, Azure, or GCP.
Proficiency with microservice design, event streaming (Kafka/Kinesis), container orchestration (Kubernetes/Docker), and CI/CD workflows.
Strong debugging, instrumentation, and observability skills in distributed systems.
Engineer who excels at taking ownership of complex backend problems and delivering scalable production systems.
Experience with languages like Python, Go, or Rust and familiarity with DevOps practices in cloud native environments.
Has startup or early product-building experience, ideally including AI engineering or building agentic AI applications with LLMs.