Soulpage IT Solutions - DevOps Engineer - IT Infrastructure Automation & Monitoring

Description :

About Soulpage :

Soulpage IT Solutions is a leading AI, Data, and Digital Engineering company focused on transforming enterprises with advanced AI/ML solutions and intelligent automation. We work across industries to deliver impactful AI products, enterprise-grade platforms, and cloud-native solutions.

Job Overview :

We are looking for a passionate and skilled DevOps Engineer to join our engineering team. The ideal candidate must have strong knowledge in cloud platforms, CI/CD automation, infrastructure monitoring, and AI/ML deployment. You will work closely with our Data Science, MLOps, and Platform Engineering teams to build scalable, secure, and high-performing deployment infrastructuresincluding LLM and Generative AI model deployment.

Key Responsibilities :

- Design, implement, and maintain CI/CD pipelines for application and ML model deployments

- Deploy, optimize, and manage infrastructure on AWS, Azure, or GCP

- Support containerization and orchestration using Docker & Kubernetes

- Implement MLOps strategies for deploying AI/ML and LLM models into production

- Automate infrastructure provisioning using IaC tools like Terraform or CloudFormation

- Monitor system health and performance using tools like Prometheus, Grafana, ELK, or CloudWatch

- Collaborate with cross-functional teams to improve system reliability and scalability

- Manage cost optimization and resource planning for cloud environments

- Ensure security best practices, backups, and disaster recovery plans

- Troubleshoot production issues and perform root cause analysis

Required Skills & Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related field

- 2- 4 years of hands-on DevOps experience

- Experience with any two cloud platforms : AWS, Azure, or GCP

- DevOps/Cloud certifications preferred (AWS DevOps Engineer, Azure DevOps, GCP Associate Engineer, etc.)

- Strong understanding of CI/CD tools : GitLab CI, GitHub Actions, Jenkins, or Azure DevOps

- Experience with containerization & orchestration : Docker, Kubernetes

- Good knowledge of Linux, Shell scripting, and Python/Bash

- Hands-on experience in MLOps / AI/ML model deployment

- Familiarity with LLM model deployment (Hugging Face, TensorRT, ONNX, vLLM, Sagemaker, Vertex AI, etc.)

- Knowledge of AWS services and cost optimization

- Experience with monitoring/logging tools : CloudWatch, New Relic, Prometheus, ELK Stack

- Familiarity with IaC tools (Terraform, CloudFormation, Ansible)

Good to Have :

- Hands-on exposure to Bedrock, Azure ML, or Vertex AI

- Knowledge of API gateways, microservices, and REST architecture

- Experience with serverless computing (Lambda, Azure Functions, Cloud Functions)

- Exposure to GitOps methodologies (ArgoCD, Flux)

- Knowledge of security and DevSecOps frameworks

Why Join Us :

- Opportunity to work in cutting-edge AI/ML + DevOps environments

- Great learning exposure and career growth in AI-driven product engineering

- Collaborative work culture with innovative teams

- Competitive salary and performance bonuses