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Mid-level generalist backend role, metro Hyderabad, and known cloud brand increase candidate competition.
Core backend distributed-systems skills transfer well, but AI inference and workflow orchestration add moderate domain specificity.
Explicit 5+ years plus mandatory backend, Go/Python, orchestration and containerization requirements make filtering strict.
Design and develop high-throughput backend systems for orchestrating complex execution workflows and processing AI agent evaluation signals.
Build and maintain robust, scalable, and highly available backend services using Python and Go, integrating with secure execution environments and scalable APIs (gRPC, REST).
Monitor system performance, investigate bottlenecks, and ensure reliability of distributed orchestration systems supporting AI agent evaluation.
5+ years of software engineering experience building concurrent, fault-tolerant distributed systems.
Proficiency in Python and Go, or strong experience in C++/Java with willingness to learn Python and Go quickly.
Experience with durable workflow orchestration engines and technologies like Docker, Kubernetes, or microVMs for secure workload isolation.
Location requirement: Hyderabad, India (hybrid work).
Experienced in building backend platforms that manage distributed state and long-running asynchronous workflows at scale.
Strong understanding of containerization and secure execution environments in production systems.
Familiar with AI/ML ecosystem basics, including working with LLM APIs and challenges in testing non-deterministic AI systems.