





Strong employer brand, generic senior software title, mid-level experience, and Bangalore metro increase applicant competition.
Observability and cloud skills are widely transferable, though banking regulatory experience increases domain specificity.
Explicit 4+ years requirement plus specific observability, cloud, and security skills for a regulated bank.
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Lead development of enterprise-scale Observability capabilities to transform telemetry, monitoring, and observability across on-prem and cloud environments.
Design, code, test, debug, and document complex technology projects, including establishing standards and best practices for large-scale engineering solutions.
Provide strategic technical guidance and drive adoption of AI and agentic systems for intelligent insights, anomaly detection, and automation in observability.
Minimum 4+ years of software engineering experience or equivalent through work experience, training, military experience, or education.
Experience with modern programming languages and tools including Python, JavaScript, Java Spring Boot, ReactJS, Kubernetes, Prometheus, Grafana, OpenTelemetry, and cloud platforms (Azure, AWS, or Google Cloud).
3+ years experience in developing AI-powered products end-to-end, including AI/ML model design, development, and deployment.
Strong understanding of software architecture, multi-threading, REST services, microservices, and data analytics relevant to telemetry and observability.
Experienced in large-scale, enterprise-level software engineering with a strong focus on observability and telemetry technologies.
Skilled in integrating AI/ML into production systems for monitoring, anomaly detection, and automation to reduce operational overhead.
Able to influence senior stakeholders and lead technology innovation initiatives in complex, multi-domain environments.