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Tier-1 brand, metro location, generalist production-support role with broad cloud and monitoring requirements.
Core devops and monitoring skills transfer across industries, though banking domain knowledge moderately relevant.
Explicit 8-13 year requirement plus mandatory cloud, incident management, and scripting skills.
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Provide front-line production support for generative AI applications, resolving issues like performance bottlenecks, API errors, and data inconsistencies.
Monitor application health using tools and dashboards to identify anomalies and proactively address potential problems.
Manage production incidents per procedure, collaborating with engineering teams to diagnose root causes, implement fixes, and automate support tasks.
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, preferably 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 in production environments supporting AI or complex software applications.
Strong collaboration skills for working closely with development and infrastructure teams to resolve issues and improve support processes.
Familiarity with generative AI models, MLOps practices, and containerization technologies (e.g., Docker, Kubernetes) is advantageous but not mandatory.