Senior Cloud DevOps Engineer

As a Senior Engineer at a cloud and AI services firm in India, you will have the opportunity to lead a small, high-impact team in designing, building, and evolving modern AWS platforms that power real businesses. You will be deeply technical and hands-on, focusing on building modern cloud and AI platforms, experimenting with AI-enabled architectures, and guiding talented engineers to do their best work. Key Responsibilities: - Design and implement AWS-based platforms that support AI workloads, data pipelines, and intelligent applications. - Support the transition of AI from experimentation to production by facilitating model hosting, inference, and AI-integrated services. - Utilize AI-assisted tooling to enhance engineering velocity and operational excellence. - Architect and implement AWS services, AI services, systems/networks/database management, and DevOps/IaC automation. - Provide guidance on the implementation of cloud environments, platform services, and operational tooling. - Review architecture, implementation plans, and code of junior engineers, serving as an escalation point when needed. - Participate in architecture discussions, stand-up calls, and technical reviews with clients to translate business needs into scalable, secure, and cost-effective cloud solutions. - Influence architecture decisions across multiple customer environments. Qualifications Required: - Deep hands-on experience with AWS and modern cloud services. AWS Pro-Level Certification is a requirement. - Strong build & deploy automation experience, e.g., with Terraform, Ansible, etc. - Solid Linux, networks, security, and DevOps experience. - Experience with cost optimization, observability, and governance tooling. - Proficiency in scripting or programming, with Python preferred. - Experience supporting AI/ML workloads in cloud environments. - Knowledge of LLMs, GenAI platforms, and modern AI architectures. - Consulting or managed services background. - Experience collaborating as a team member and guiding junior team members. - Clear communicator who enjoys teaching and learning. If you join this company, you will work on real production systems and business challenges, be part of a small, elite team where your ideas are valued and implemented, shape the delivery of cloud and AI solutions as the company scales, and grow alongside the company's expansion into larger AI-driven engagements. As a Senior Engineer at a cloud and AI services firm in India, you will have the opportunity to lead a small, high-impact team in designing, building, and evolving modern AWS platforms that power real businesses. You will be deeply technical and hands-on, focusing on building modern cloud and AI platforms, experimenting with AI-enabled architectures, and guiding talented engineers to do their best work. Key Responsibilities: - Design and implement AWS-based platforms that support AI workloads, data pipelines, and intelligent applications. - Support the transition of AI from experimentation to production by facilitating model hosting, inference, and AI-integrated services. - Utilize AI-assisted tooling to enhance engineering velocity and operational excellence. - Architect and implement AWS services, AI services, systems/networks/database management, and DevOps/IaC automation. - Provide guidance on the implementation of cloud environments, platform services, and operational tooling. - Review architecture, implementation plans, and code of junior engineers, serving as an escalation point when needed. - Participate in architecture discussions, stand-up calls, and technical reviews with clients to translate business needs into scalable, secure, and cost-effective cloud solutions. - Influence architecture decisions across multiple customer environments. Qualifications Required: - Deep hands-on experience with AWS and modern cloud services. AWS Pro-Level Certification is a requirement. - Strong build & deploy automation experience, e.g., with Terraform, Ansible, etc. - Solid Linux, networks, security, and DevOps experience. - Experience with cost optimization, observability, and governance tooling. - Proficiency in scripting or programming, with Python preferred. - Experience supporting AI/ML workloads in cloud environments. - Knowledge of LLMs, GenAI platforms, and modern AI architectures. - Consulting or managed services background. - Experience collaborating as a team member and guiding junior team members. - Clear communicator who enjoys teaching and learning. If you join this company, you will work on real production systems and business challenges, be part of a small, elite team where your ideas are valued and implemented, shape the delivery of cloud and AI solutions as the company scales, and grow alongside the company's expansion into larger AI-driven engagements.