DevOps Engineer | 2–3 Years Experience | Immediate Joiners Only

NEXUS AIDC; Bengaluru; On-site; INR 800,000 - 1,400,000; Full time

Benefits offered by this job

Hands-on exposure to AI‑native DCOS

GPU infrastructure exposure

Job summary

NEXUS AIDC is hiring a DevOps Engineer in Bengaluru to design, implement, and maintain CI/CD pipelines supporting rapid platform feature delivery and infrastructure changes.

The role includes Kubernetes container management, IaC with Terraform/Ansible, and Linux system administration across cloud, hybrid, and on‑prem environments. Immediate availability is mandatory.

Qualifications

• 2–3 years hands-on DevOps, SRE, cloud infra, or infra engineering.
• Strong knowledge of Linux administration, networking, and troubleshooting.
• Experience deploying and managing CI/CD pipelines (GitHub Actions, GitLab CI/CD, or Jenkins).
• Familiarity with Terraform, Ansible, or similar IaC tools.
• Scripting proficiency in Bash or Python.
• Experience with monitoring observability tools (Prometheus, Grafana, ELK).
• Knowledge of Git, registries, deployment workflows, and release management.
• Understanding of cloud concepts and at least one major cloud platform (AWS, Azure, or GCP).
• Strong troubleshooting and independent issue resolution skills.
• Excellent communication, ownership mindset, and teamwork in fast-paced environments.

Responsibilities

• Kubernetes & container management: deploy, configure, monitor, and troubleshoot applications with Docker/Kubernetes.
• CI/CD automation: build, maintain, and improve pipelines using major CI tools.
• Infrastructure as code: implement automation with Terraform, Ansible across cloud/on‑premises.
• Linux & infrastructure administration: manage servers, network configs, access control, patching.
• Monitoring & observability: configure monitoring, logging, alerting with Prometheus, Grafana, ELK.
• Automation & scripting: write Bash/Python scripts to automate operations.
• Troubleshooting & performance: resolve deployment, infra, network, app performance issues.
• Cloud & AI infrastructure: support deployments across cloud/hybrid/on‑prem with GPU AI workloads.
• Security & reliability: follow DevSecOps practices, manage secrets, config mgmt.
• Collaboration & documentation: work with dev, QA, infra teams, maintain docs.

Skills

Linux administration

Networking fundamentals

Troubleshooting

Scripting

Tools

Docker

Kubernetes

GitHub Actions

GitLab CI/CD

Jenkins

Terraform

Ansible

Prometheus

Grafana

ELK

Job 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.