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About the role
As a DevOps Engineer at KKR in Gurugram, you will play a crucial role in the operational backbone of KKR's AI platform. You will be responsible for owning CI/CD, cloud infrastructure, and ensuring the day-to-day reliability of systems that AI Engineering, AI Infrastructure, and Data teams depend on. Your role will involve working closely with the DevOps and Cloud Platform leadership team to build secure, reliable, and cost-efficient delivery mechanisms for KKR's AI estate. If you are passionate about automation, observability, and managing AI workloads at an enterprise scale, this role is for you. Roles and Responsibilities: - Own CI/CD, infrastructure-as-code (Terraform), and release pipelines for KKR's AI and data services. - Manage cloud infrastructure, networking, secrets, and access controls in alignment with enterprise security and compliance standards. - Integrate observability, alerting, and incident response capabilities into all platform services. - Collaborate with AI Infrastructure and AI Engineering teams to optimize the path from commit to production. - Drive cost visibility and optimization across cloud and GPU spend, partnering with Finance and Technology leadership. - Establish operational standards such as runbooks, on-call practices, and post-incident reviews to scale with the growth of KKR's AI footprint. - Enhance developer experience by automating tasks and streamlining common engineering workflows. Qualifications: - 6+ years of experience in DevOps, SRE, or cloud platform engineering, preferably supporting data or AI workloads. - Proficiency in Python (or Go) for automation and tooling. - Hands-on experience with cloud platforms like AWS, GCP, or Azure at a strong mid-level practitioner level. - Familiarity with Kubernetes, Terraform, GitHub Actions or ArgoCD, and modern observability tools (Datadog, Prometheus, Grafana). - Comfortable supporting AI/ML workloads, including GPU instances, large model artifacts, and training/inference jobs. - Ability to remain calm under pressure during incidents and prioritize automation over manual tasks. - Excellent communication skills to collaborate effectively with engineering, security, and business stakeholders. Preferred Qualifications: - Experience in operating cloud platforms in financial services or regulated environments. - Knowledge of model serving infrastructure, GPU scheduling, or ML-specific operational practices. - Exposure to FinOps practices and large-scale cloud cost optimization. - Contributions to open-source DevOps or platform tooling. - Advanced degree in a relevant field (Computer Science, Engineering, or equivalent). KKR is an equal opportunity employer that provides reasonable accommodations as required by applicable laws. If you require an accommodation for the application or interview process due to a disability, you can request it by emailing Benefits@kkr.com. Remember, only emails for this purpose will receive a response. As a DevOps Engineer at KKR in Gurugram, you will play a crucial role in the operational backbone of KKR's AI platform. You will be responsible for owning CI/CD, cloud infrastructure, and ensuring the day-to-day reliability of systems that AI Engineering, AI Infrastructure, and Data teams depend on. Your role will involve working closely with the DevOps and Cloud Platform leadership team to build secure, reliable, and cost-efficient delivery mechanisms for KKR's AI estate. If you are passionate about automation, observability, and managing AI workloads at an enterprise scale, this role is for you. Roles and Responsibilities: - Own CI/CD, infrastructure-as-code (Terraform), and release pipelines for KKR's AI and data services. - Manage cloud infrastructure, networking, secrets, and access controls in alignment with enterprise security and compliance standards. - Integrate observability, alerting, and incident response capabilities into all platform services. - Collaborate with AI Infrastructure and AI Engineering teams to optimize the path from commit to production. - Drive cost visibility and optimization across cloud and GPU spend, partnering with Finance and Technology leadership. - Establish operational standards such as runbooks, on-call practices, and post-incident reviews to scale with the growth of KKR's AI footprint. - Enhance developer experience by automating tasks and streamlining common engineering workflows. Qualifications: - 6+ years of experience in DevOps, SRE, or cloud platform engineering, preferably supporting data or AI workloads. - Proficiency in Python (or Go) for automation and tooling. - Hands-on experience with cloud platforms like AWS, GCP, or Azure at a strong mid-level practitioner level. - Familiarity with Kubernetes, Terraform, GitHub Actions or ArgoCD, and modern observability tools (Datadog, Prometheus, Grafana). - Comfortable supporting AI/ML workloads, including GPU instances, large model artifacts, and training/inference jobs. - Ability to rem