Soulpage IT Solutions

3 days ago

Hyderabad, India SOULPAGE IT SOLUTIONS PRIVATE LIMITED Full time

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 analysisRequired 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 frameworksWhy 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 (ref:hirist.tech)

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