<p><p><b>Description :</b><br/><br/><b>About Soulpage :</b></p><p><br/>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.<br/><br/><b>Job Overview :</b></p><p><br/>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.<br/><br/><b>Key Responsibilities :</b></p><p><br/>- Design, implement, and maintain CI/CD pipelines for application and ML model deployments<br/><br/></p><p>- Deploy, optimize, and manage infrastructure on AWS, Azure, or GCP<br/><br/></p><p>- Support containerization and orchestration using Docker & Kubernetes<br/><br/></p><p>- Implement MLOps strategies for deploying AI/ML and LLM models into production<br/><br/></p><p>- Automate infrastructure provisioning using IaC tools like Terraform or CloudFormation<br/><br/></p><p>- Monitor system health and performance using tools like Prometheus, Grafana, ELK, or CloudWatch<br/><br/></p><p>- Collaborate with cross-functional teams to improve system reliability and scalability<br/><br/></p><p>- Manage cost optimization and resource planning for cloud environments<br/><br/></p><p>- Ensure security best practices, backups, and disaster recovery plans<br/><br/></p><p>- Troubleshoot production issues and perform root cause analysis<br/><br/><b>Required Skills & Qualifications :</b></p><p><br/>- Bachelor's degree in Computer Science, Engineering, or a related field<br/><br/></p><p>- 2- 4 years of hands-on DevOps experience<br/><br/></p><p>- Experience with any two cloud platforms : AWS, Azure, or GCP<br/><br/></p><p>- DevOps/Cloud certifications preferred (AWS DevOps Engineer, Azure DevOps, GCP Associate Engineer, etc.)<br/><br/></p><p>- Strong understanding of CI/CD tools : GitLab CI, GitHub Actions, Jenkins, or Azure DevOps<br/><br/></p><p>- Experience with containerization & orchestration : Docker, Kubernetes<br/><br/></p><p>- Good knowledge of Linux, Shell scripting, and Python/Bash<br/><br/></p><p>- Hands-on experience in MLOps / AI/ML model deployment<br/><br/></p><p>- Familiarity with LLM model deployment (Hugging Face, TensorRT, ONNX, vLLM, Sagemaker, Vertex AI, etc.)<br/><br/></p><p>- Knowledge of AWS services and cost optimization<br/><br/></p><p>- Experience with monitoring/logging tools : CloudWatch, New Relic, Prometheus, ELK Stack<br/><br/></p><p>- Familiarity with IaC tools (Terraform, CloudFormation, Ansible)<br/><br/><b>Good to Have :</b></p><p><br/>- Hands-on exposure to Bedrock, Azure ML, or Vertex AI<br/><br/></p><p>- Knowledge of API gateways, microservices, and REST architecture<br/><br/></p><p>- Experience with serverless computing (Lambda, Azure Functions, Cloud Functions)<br/><br/></p><p>- Exposure to GitOps methodologies (ArgoCD, Flux)<br/><br/></p><p>- Knowledge of security and DevSecOps frameworks<br/><br/><b>Why Join Us :</b></p><p><br/>- Opportunity to work in cutting-edge AI/ML + DevOps environments<br/><br/></p><p>- Great learning exposure and career growth in AI-driven product engineering<br/><br/></p><p>- Collaborative work culture with innovative teams<br/><br/></p><p>- Competitive salary and performance bonuses</p><br/></p> (ref:hirist.tech)