Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and broad platform skillset drive high candidate competition.
Requires specialized observability, tracing, and platform engineering skills, limiting cross-industry transferability.
Explicit 8+ years, observability domain expertise, and mandatory cloud/Kubernetes/Kafka experience make shortlisting strict.
Design, develop, test, deploy, maintain, and improve the Observability Platform focusing on Workflow Insights, Distributed Tracing, and Real User Monitoring (RUM).
Contribute as a hands-on technical expert for high-scale, highly available data processing and agentic solutions in observability.
Drive technology and product direction for next-generation observability tools, leveraging data-driven decisions to evolve platform capabilities.
8+ years in designing and developing large-scale distributed systems and/or AI applications.
Strong experience in Observability domain (Traces/Logs/Metrics) and associated high-scale system development.
Proficient in at least one general-purpose programming language such as Java or Python.
Experience with multiple of the following: Unix/Linux, distributed systems, workflow automation, CI/CD, cloud platforms (AWS/GCP), Kubernetes/container development.
Experienced software engineer comfortable building scalable, resilient observability and data-intensive platforms.
Practitioner with strong technical contribution in AI/LLM or Gen AI applied to operational intelligence.
Skilled in cloud-native environments, container orchestration (Kubernetes/Docker), data streaming technologies (Kafka, Kinesis) and real-time observability data handling.