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Strong Tier-1 brand and senior technical role, but niche generative AI reduces applicant volume slightly.
Core production support and cloud skills transfer broadly, though banking and generative AI context adds some domain specificity.
Explicit 8-13 years plus mandatory cloud, scripting, monitoring, and incident management increases filtering stringency.
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Diagnose and resolve production issues related to generative AI applications including performance, API, data, and infrastructure problems.
Monitor application health using dashboards and tools to identify anomalies and proactively prevent user impact.
Manage incidents per procedures, collaborate with engineering to root cause and fix issues, maintain documentation, automate support tasks, and participate in 24/7 on-call rotation.
Bachelor's degree in Computer Science, Engineering, or related field.
8-13 years of experience in application production support or related role.
Experience supporting cloud-based applications on AWS, Azure, or GCP.
Proficiency in scripting languages (e.g., Python, Bash) and familiarity with monitoring tools (e.g., Datadog, Prometheus, Grafana).
Experienced with change, incident, problem, and stakeholder management in a production support environment.
Comfortable working with DevOps principles and cloud infrastructure for application support.
Has knowledge or experience in generative AI models, MLOps, and containerization (Docker, Kubernetes) to align with AI application support needs.