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

SOULPAGE IT SOLUTIONS PRIVATE LIMITEDHyderabad

7 days ago

Job description

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

(ref : hirist.tech)

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