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Lead DevOps, Platform Engineering, and Cloud Operations teams at HARMAN Automotive, driving DevOps strategy, cloud-native modernization, CI/CD automation, and SRE practices across AWS/Azure/GCP with Kubernetes, Terraform, and observability tooling.
Lead DevOps, Platform Engineering, and Cloud Operations teams at HARMAN Automotive, driving CI/CD automation, cloud infrastructure modernization across AWS/Azure/GCP, Kubernetes orchestration, SRE practices, and DevSecOps for enterprise-scale platforms.
The DevOps Lead will design and implement CI/CD pipelines, infrastructure as code, and SRE practices to support reliable software delivery at scale. The role involves leading technical teams, driving automation, and embedding security and observability into the development lifecycle using tools like Kubernetes, Terraform, and various cloud platforms.
Design and operate AI-driven agentic systems for autonomous monitoring, anomaly detection, and self-healing infrastructure at Pitney Bowes in Pune, leveraging AWS, Kubernetes, Python, Terraform, and observability tools like Prometheus, Grafana, and SumoLogic.
The Associate Technical Architect will lead the design and implementation of scalable, secure cloud-based platform infrastructure and integration pipelines. The role focuses on AWS architecture, API management, and DevSecOps automation to support large-scale digital and AI-driven transformation projects.
Senior SRE designing and optimizing cloud infrastructure (IaC with Terraform on AWS) for video game production tools and applications within the R&D team.
Designs, implements, and maintains DevOps infrastructure to ensure software reliability, scalability, and security. Focuses on CI/CD pipelines, cloud automation, and cross-team collaboration to streamline operations.
Senior Associate SRE ensuring reliability, availability, and performance of systems in Hyderabad — monitoring, incident response, automation, and deployment support using cloud platforms, scripting, and tools like Prometheus, Grafana, and Terraform.
Leads MLOps automation for a regional bank’s data/analytics team, designing CI/CD pipelines and Kubernetes infrastructure (AWS EKS) to deploy models/data pipelines at scale while mentoring engineers and collaborating cross-functionally.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
This hybrid role combines technical support and SRE responsibilities to maintain and scale an AI security SaaS platform. The engineer will monitor system performance, troubleshoot customer incidents, and develop automation to improve platform reliability.
Senior SRE leading the build and transformation of a cloud-native technology stack across the full SDLC, working with AWS, Terraform, GitLab CI/CD, Kubernetes, and Python at a state pension fund.
Backend Engineer designing APIs, task orchestration, and streaming responses for LLM/Agent products using Golang or Python, relational/NoSQL databases, and AI tools like Claude Code and MCP.
Designs and maintains GPU-powered AI compute clusters, high-speed networks, and storage for distributed ML workloads using Kubernetes, InfiniBand, and IaC tools.
AI Infrastructure Engineer managing multi-GPU compute clusters, high-performance networking/storage, and IaC automation for AI/ML workloads using Kubernetes, Slurm, Terraform, and NVIDIA GPU technologies.
Industry: Security Technology / IT Infrastructure Company Location: Jurong East Working Hours: Monday – Friday, 8:30 AM – 5:30 PM Salary range: $4,500 – $6,000 About the Role We are looking for an experienced IT…
Designs and maintains high-density GPU clusters for AI/ML workloads, focusing on compute, networking, storage, and automation to optimize distributed training performance.
Designs, automates, and maintains OpenStack cloud infrastructure, integrating Kubernetes and AI-driven ops tools to ensure scalability, security, and performance.
Manage and optimize high-density multi-GPU compute clusters, high-performance networking/storage fabrics, and IaC automation pipelines for AI/ML distributed training workloads on Linux.
Architect and maintain multi-GPU compute clusters for AI/ML workloads, covering Kubernetes/Slurm orchestration, high-performance InfiniBand/RoCE networking, parallel storage, and IaC automation with Terraform/Ansible on Linux.
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