





Tier-1 brand and generalist production-support role create moderate competition for senior hires.
Medium — core devops skills transferable, but banking experience and generative AI familiarity preferred.
High — explicit 8–13 years requirement plus mandatory cloud, scripting, and incident management skills.
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Provide front-line technical support for generative AI applications including diagnosing production issues such as performance bottlenecks, API errors, and infrastructure problems.
Monitor application health using tools like Datadog, Prometheus, or Grafana to identify and proactively resolve anomalies.
Manage incident response procedures, collaborate with engineering teams for root cause analysis and fixes, and maintain support documentation and automation scripts.
Bachelor's degree in Computer Science, Engineering, or related field.
8-13 years of experience in application production support or related roles.
Experience supporting cloud-based applications on AWS, Azure, or GCP.
Proficiency in at least one scripting language (e.g., Python, Bash) and familiarity with monitoring tools (e.g., Datadog, Prometheus, Grafana).
Experienced in incident, change, and problem management within technology support environments, demonstrating ownership and accountability for production stability.
Strong collaboration skills working with development and infrastructure teams to resolve and prevent application issues.
Background in AI or machine learning domain support, with bonus experience around generative AI models, MLOps practices, and containerization technologies.