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Mid-level cloud role, metro locations, broad generic skillset and popular title increase candidate competition.
Cloud infrastructure and IaC skills transfer easily across industries, enabling cross-industry candidate fit.
Multiple mandatory cloud, IaC, Kubernetes and language skills plus explicit 2+ years requirement tighten shortlisting.
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Design and maintain scalable, high-performance cloud native or on-prem infrastructure within AI stack focusing on availability, resiliency, and performance.
Develop and automate infrastructure changes using tools like Terraform and Helm to ensure reliability and version control.
Collaborate with cross-functional teams to build self-service platforms, robust RESTful APIs, and integrate AI/ML technologies including agentic AI and LLMs.
Bachelor’s degree in Computer Science or equivalent.
Minimum 2 years of experience in infrastructure, networking, DevOps, or cloud technologies.
Hands-on experience with public cloud providers (AWS, Azure, or GCP), container orchestration (Kubernetes, Istio, Docker), and automation tools (Terraform, Helm).
Proficiency in programming/scripting languages like Python, Go, or Bash and experience with RESTful APIs, SQL/NoSQL databases, and CI/CD tools.
Experienced in large-scale distributed system design and multi-cloud infrastructure deployment.
Demonstrates ability to influence infrastructure design decisions and drive engineering best practices.
Comfortable mentoring engineers, working independently, and adapting in a fast-paced, dynamic environment with a focus on AI-driven products.