Arijit Goswami

About Arijit Goswami

AI Cloud Engineer with 2+ experience in AWS Big Data and AI/ML platforms, specializing in production support, cloud architecture, and complex issue resolution. Skilled in troubleshooting high-impact infrastructure and application issues across Amazon SageMaker and Amazon Bedrock, including networking (VPC, DNS) and system integrations. Currently working as a Primary Subject Area Point (PSAP), leading resolution of complex production cases and handling Sev1–Sev5 incidents with strong focus on reliability and customer impact. Experienced in performing root cause analysis, optimizing system performance, and ensuring high availability of cloud workloads. Proficient in designing scalable, secure, and cost-efficient solutions, while collaborating with Solutions Architects and Technical Account Managers. Actively mentor engineers and contribute to quality and operational excellence initiatives (Q+). Core Skills AWS (SageMaker, Bedrock, EC2, VPC, IAM)| Networking (DNS, Load Balancing)| Incident Management | RCA | Cloud Architecture | Distributed Systems | API Integrations Certifications 1. AWS Certified Solutions Architect – Associate 2. AWS Certified AI PractitionerGithub : https://github.com/arijitrocker23-lang

Experience

1. Cloud Engineer 1 - Big Data (Svo)

   Amazon

   Feb 2026 — Present · Hyderabad, IN

   Act as a Primary Subject Area Point (PSAP) for AI/ML services, guiding engineers in resolving complex production issues across Amazon Bedrock, SageMaker, and AgentCore.>Troubleshoot and resolve high-priority (Sev1–Sev5) production incidents, serving as frontline support for enterprise customers and ensuring minimal downtime.>Design and recommend tailored cloud solutions (STEER & SpecReqs) aligned with customer business use cases, focusing on scalability, performance, and cost optimization.>Provide architectural guidance to customers, helping them build secure, fault-tolerant, and well-architected AI/ML workloads on AWS.>Collaborate closely with Solutions Architects (SAs) and Technical Account Managers (TAMs) to support customer success, long-term planning, and complex issue resolution.>Mentor and onboard junior engineers, sharing deep-dive troubleshooting techniques and domain expertise in AI/ML systems.>Part of the Quality (Q+) program, reviewing quality, providing feedback, and improving overall engineering standards.>Work directly with AWS service teams as a Bedrock Support Opps to diagnose and resolve service-level issues, acting as a bridge between customers and internal engineering teams.

Education

• Techno Main - Salt Lake

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

  2019 — 2023

• Hem Sheela Model School - India

  Secondary Education

• Jadavpur University, Kolkata

  Master of Technology - MTech, IT courseware Engineering