Website:
nexus-aidc.com
Job details:
Company Description
NEXUS AIDC is revolutionizing the data center industry with an AI-native Data Center Operating System. Addressing the growing complexity of AI-driven workloads and infrastructure, our platform unifies DCIM, APM, FinOps, Kubernetes orchestration, AI workload management, digital twins, and full-stack observability into one intelligent, real-time system.
With predictive intelligence and automated remediation, NEXUS enables organizations to optimize infrastructure performance, improve resource utilization, and manage AI workloads more efficiently
Role Description
This is a full-time, on-site DevOps Engineer role based in Bengaluru for professionals with approximately 2–3 years of experience. The DevOps Engineer will design, implement, and maintain CI/CD pipelines that support rapid, reliable delivery of platform features and infrastructure changes.
Key Responsibilities
Kubernetes & Container Management: Deploy, configure, monitor, and troubleshoot containerized applications using Docker and Kubernetes, including managing pods, services, deployments, and cluster resources.
CI/CD Automation: Develop, maintain, and improve CI/CD pipelines using GitHub Actions, GitLab CI/CD, or Jenkins, ensuring efficient and reliable application deployments.
Infrastructure as Code (IaC): Implement and maintain infrastructure automation using Terraform, Ansible, or equivalent tools across cloud and on-premises environments.
Linux & Infrastructure Administration: Manage Linux-based servers, system configurations, networking, access controls, patching, and routine infrastructure maintenance.
Monitoring & Observability: Configure and maintain monitoring, logging, and alerting solutions using Prometheus, Grafana, ELK, or similar tools to improve system visibility and reliability.
Automation & Scripting: Develop Bash or Python scripts to automate operational processes, reduce manual intervention, and improve infrastructure efficiency.
Troubleshooting & Performance: Identify and resolve deployment, infrastructure, networking, and application performance issues, collaborating with senior engineers on complex incidents.
Cloud & AI Infrastructure: Support infrastructure deployments across cloud, hybrid, and on-premises environments, including Kubernetes-based AI workloads and GPU-enabled infrastructure.
Security & Reliability: Follow DevSecOps practices, including access management, secrets handling, configuration management, and infrastructure security.
Collaboration & Documentation: Work closely with development, QA, and infrastructure teams to improve deployment processes, operational reliability, and technical documentation.
Qualifications
Immediate availability to join is mandatory.
- 2–3 years of hands-on experience in DevOps, SRE, cloud infrastructure, or infrastructure engineering.
- Strong working knowledge of Linux administration, networking fundamentals, and system troubleshooting.
- Practical experience with Docker and Kubernetes, including application deployments, troubleshooting, and cluster operations.
- Hands-on experience implementing and maintaining CI/CD pipelines using GitHub Actions, GitLab CI/CD, or Jenkins.
- Working knowledge of Terraform, Ansible, or similar infrastructure automation tools.
- Proficiency in scripting using Bash or Python.
- Experience with monitoring and observability tools such as Prometheus, Grafana, or ELK.
- Familiarity with Git, container registries, deployment workflows, and release management.
- Understanding of cloud infrastructure concepts and experience with at least one major cloud platform (AWS, Azure, or GCP).
- Strong troubleshooting skills and the ability to independently resolve routine infrastructure and deployment issues.
- Good communication skills, ownership mindset, and ability to work collaboratively in a fast-paced engineering environment.
Preferred / Good-to-Have Skills
- Exposure to GPU infrastructure, NVIDIA GPU operators, device plugins, or GPU monitoring.
- Familiarity with AI/ML workloads and Kubernetes-based workload orchestration.
- Experience with Helm charts, Kubernetes ingress, storage, and networking.
- Understanding of data center infrastructure, DCIM, or hardware-level monitoring.
- Exposure to hybrid cloud or on-premises Kubernetes deployments.
- Familiarity with DevSecOps practices and infrastructure security automation.
What We Offer
- Opportunity to work on an innovative AI-native Data Center Operating System.
- Hands-on exposure to modern cloud, Kubernetes, GPU, and AI infrastructure technologies.
- An engineering environment that encourages technical ownership, innovation, and continuous learning.
- Opportunities for professional growth as NEXUS expands globally.
Click on Apply to know more.
