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Metro location, popular fullstack title, mid-level experience band, and strong multinational brand increase applicant competition.
Core full-stack and cloud skills are transferable, but Camunda/SRE and enterprise LLM deployment needs add moderate domain specificity.
Explicit 7-9 years plus many mandatory cloud, Camunda, Kubernetes, and LLM production experience requirements increase strictness.
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Design, develop, and maintain full stack software solutions leveraging AWS cloud infrastructure, including Lambda functions and React-based AI-enhanced UI components.
Drive automation of manual operational tasks within cloud infrastructure through code and infrastructure-as-code tools like CloudFormation or Terraform.
Engage in all phases of the Software Development Life Cycle within an Agile/Scrum environment, supporting multi-cloud operations and production deployment of LLM models.
7-9 years of experience in Full Stack development or Software Engineering in an enterprise environment.
Proficiency in Python, Node.js, JavaScript, React, and experience with AWS cloud services including Lambda, API Gateway, SNS, SQS, and AWS SDK.
Experience with infrastructure-as-code tools (CloudFormation or Terraform), CI/CD pipelines, Git, and managing Camunda 8 clusters on Kubernetes (AWS EKS, GCP GKE, Azure AKS).
Onsite work required at Hyderabad, India location.
Experienced in building and deploying AI-enhanced web applications integrating large language models (GPT-4/5, Claude, Llama) in production environments.
Strong knowledge of cloud-native architectures, Site Reliability Engineering (SRE) principles, and multi-cloud environments (AWS preferred).
Hands-on expertise with microservices, container orchestration (Docker, Kubernetes), Linux administration, and automation in enterprise-scale cloud infrastructure.