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Tier-1 employer, metro location, and broad observability/full-stack skillset create high candidate competition.
Observability/SRE and full-stack skills transfer across industries, but banking domain and compliance add moderate bias.
Explicit 10+ years requirement plus deep observability, cloud, and full-stack technical mandates make screening strict.
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Lead and deliver complex technology initiatives for enterprise-wide observability and monitoring solutions.
Develop and implement standards and best practices for engineering large-scale, innovative software solutions.
Drive adoption of AI techniques (intelligent insights, anomaly detection, guided root-cause analysis, automation) within observability platforms.
10+ years of software engineering experience.
Experience with programming languages such as Python, JavaScript, Java Spring Boot, ReactJS, and Linux Shell Scripting.
Experience with cloud platforms (Azure, AWS, Google Cloud) and observability/monitoring tools (Prometheus, Grafana, App Dynamics, Splunk, etc.).
Work Experience Required: 10+ years in Software Engineering.
Proven track record leading large-scale, enterprise-level software or observability projects.
Strong expertise in AI/ML model development and deployment integrated with monitoring solutions.
Ability to engage with senior leadership and cross-functional teams to influence technology direction and standards.