Back
Tier-1 brand, metro location, and broad platform/observability skillset increase candidate competition.
Deep observability, distributed systems, and platform engineering expertise are required, limiting cross-industry transferability.
Senior 10+ years plus specialized observability, cloud, and platform requirements make filters very strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Owns design, development, testing, deployment, and maintenance of large-scale Observability Platform software focusing on Workflow Insights, Distributed Tracing, and RUM applications.
Leads technical strategy and integration of agentic solutions and next-generation AI-powered observability tools, shaping product and technology direction.
Mentors engineers, leads requirement gathering, technical specification development, and data-driven decision-making for platform evolution and scalability.
Minimum 10 years experience designing and developing high-scale distributed systems and/or AI applications.
Strong expertise in Observability domain (Traces/Logs/Metrics) with experience building high-scale systems.
Proficient in programming languages such as Java and Python, and experience with Kubernetes, Docker, Kafka, Kinesis, Amazon S3, and SQS.
Experience with Unix/Linux environments, distributed and parallel systems, workflow automation, CI/CD platforms, and cloud platforms like AWS or GCP.
Proven technical leader with hands-on experience in building scalable, resilient observability solutions in agile software environments.
Experience applying LLM/Gen AI to operational intelligence and observability platforms.
Skilled at driving platform innovation through data-driven decisions, mentoring teams, and bridging technical complexity across diverse stakeholders.