Nithya S

About Nithya S

I am a DevOps-focused Support Engineer at Amazon Web Services with 3+ years of experience in turning manual operational pain into automated, reliable systems. CI/CD workflows, infrastructure monitoring, and large-scale production support. Currently, I work with AWS Bedrock operations, where I focus on workflow automation, capacity planning, monitoring, and incident management for AI/ML platforms. I worked closely with Anthropic\'s foundation models including Claude and Claude Haiku, managing enterprise customer quotas, model access governance, and onboarding for Generative AI workloads.I specialize in Python-based automation, Linux operations, API integrations, and infrastructure-as-code practices to reduce manual effort and improve system stability. My work has helped reduce operational backlogs by up to 90% and improve response times through proactive monitoring and alerting.I began my career as a Machine Learning Data Associate, gaining strong fundamentals in data quality, process ownership, and large-scale operations. Through consistent technical contributions and automation-driven improvements, I progressed into a Support Engineer role handling production systems and on-call responsibilities.I hold a Bachelor of Engineering in Electrical & Electronics Engineering and am passionate about building reliable systems, automating operational workflows, and solving complex infrastructure problems. I am actively seeking DevOps and infrastructure engineering opportunities where I can contribute to scalable, high-impact systems.

Experience

1. Amazon Bedrock Support Engineer

   Amazon

   Apr 2024 — Present · Chennai, IN

   Engineered a Python-driven automation framework for Bedrock operations, eliminating 85%+ of manual toil and optimizing resource provisioning- Architected real-time observability dashboards using Cloud Watch log insights, reducing Mean Time to Detection (MTTD) by 50%- Supported Sev-2 incidents during on-call rotations while maintaining SLAs- Led global capacity planning initiatives enabling 6K+ account provisioning- Acted as SME; mentored team members and led knowledge transfers- Managed enterprise customer quota allocation for Anthropic\'s Claude and Claude Haiku models via Amazon Bedrock, Collaborated cross-functionally with Anthropic teams to provision and govern Generative AI model access for customers- Onboarded enterprise clients to foundation model APIs on AWS Bedrock with appropriate IAM and service limit configurations

Education

• St. Peter's Engineering College

  Bachelor of Engineering - BE, Electrical, Electronic and Communications Engineering Technology/Technician