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Soulpage IT Solutions - DevOps Engineer - Docker/Kubernetes

SOULPAGE IT SOLUTIONS PRIVATE LIMITED
1 - 4 Years
Hyderabad

Posted on: 18/02/2026

Job Description

Description :


Location : Hyderabad

Work Mode : Work From Office (WFO)

Experience : 1 to 4 Years

Employment Type : Full-time

Role Overview :


- We are seeking a DevOps Engineer to support the deployment, automation, and operations of an enterprise-grade AI platform. The platform includes machine learning, deep learning, RAG-based models, data processing pipelines.

- The solution is deployed in a secure on-premise high-performance computing (HPC) environment and is accessed by multiple internal teams over LAN and intranet. The role also offers exposure to future cloud and hybrid deployments.

Key Responsibilities :

- Deploy, configure, and manage applications on on-premise HPC infrastructure

- Build and maintain CI/CD pipelines for on-prem environments

- Containerize applications using Docker and support orchestration using Kubernetes

- Manage LAN/intranet-based networking, internal routing, and service access

- Support ML/DL and RAG pipelines from an infrastructure and deployment perspective

- Implement and maintain RBAC, access controls, and security policies

- Monitor system health, performance, and resource utilization

- Automate infrastructure and operational workflows using scripts and configuration tools

- Troubleshoot deployment, networking, and performance issues

- Maintain clear documentation for deployment processes and operational SOPs

- Collaborate with engineering teams to plan future cloud and hybrid deployments

Required Skills & Qualifications :

- 1 to 4 years of hands-on experience in DevOps, Platform Engineering, or Infrastructure roles

- Strong experience with Linux system administration

- Experience with on-premise deployments (bare metal or virtualized environments)

- Working knowledge of Docker and containerized workloads

- Familiarity with Kubernetes fundamentals

- Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.)

- Good understanding of networking fundamentals (LAN, intranet, DNS, ports, firewalls)

- Scripting skills in Bash/Shell and/or Python

- Knowledge of RBAC, secrets management, and security best practices

Good to Have :

- Exposure to HPC environments (GPU clusters, schedulers like Slurm/PBS)

- Experience supporting AI/ML workloads (training, inference, pipelines)

- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack)

- Knowledge of Infrastructure as Code tools (Ansible, Terraform)

- Basic exposure to cloud platforms (AWS, Azure)

- Experience working in restricted or enterprise-grade environments


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