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Tier-1 brand, metro location, generic engineering lead title, and broad stack increase candidate competition.
Core SRE and cloud skills transfer broadly, but banking compliance and TLM governance add domain-specific constraints.
Explicit 8+ years, mandatory SRE/cloud/Kubernetes and compliance requirements make shortlisting highly strict.
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Lead multiple engineering teams to design, develop, and deliver automation solutions including LLMs/agents to eliminate manual operational work and streamline remediation workflows.
Own application risk, controls, compliance, security, and data accountability for assigned applications, ensuring firm standards adherence and effective issue remediation.
Drive adoption of AI-assisted engineering practices and SRE principles, oversee production service reliability, and coordinate across large teams to prioritize and execute critical AO workstreams.
Bachelor’s degree or equivalent experience in software engineering discipline.
8+ years of relevant software engineering experience with expertise in at least one technology stack involving production software delivery.
Strong experience with Kubernetes, AWS/Cloud, Big Data/ETL pipelines, and development in Java, Python, or Scala.
Proficiency in SRE best practices, observability tools (e.g., Grafana, Dynatrace, Prometheus), and CI/CD tools (e.g., Jenkins, GitLab, Terraform).
Experienced leader capable of influencing and coordinating execution across multiple teams and large developer communities in a financial institution context.
Deep knowledge and hands-on expertise in secure, scalable, and reliable cloud-native application architectures including automation and monitoring.
Strong understanding and practical experience in responsible enterprise AI-assisted development, risk governance, and software delivery lifecycle improvements.