Xcelpros - DevOps Engineer - Cloud Infrastructure
Xcelpros Technologies Pvt LtdDelhi, IN30+ days ago
Job type
- Remote
Job descriptionDesign, implement, and optimize continuous integration and continuous deployment (CI / CD) pipelines across development, staging, and production environments. Ensure high availability and minimal downtime for production releases by automating rollbacks, canary deployments, and blue-green deployments. Integrate monitoring and alerting into the pipelines to catch issues before they reach production. Work closely with the AI / ML teams to deploy and monitor machine learning models in production environments, ensuring smooth integration with CI / CD pipelines. Implement and maintain automated workflows for ML model training, testing, and deployment. Use tools like Azure ML, SageMaker, or other relevant services to enable ML lifecycle management. Promote and implement Test-Driven Development (TDD) practices within CI / CD pipelines to improve software quality and reduce defects in production. Ensure that code quality is maintained by integrating automated unit and integration tests into the pipelines, along with ensuring that sufficient test coverage is in place. Develop automation scripts and tools to streamline repetitive tasks across various environments. Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or ARM Templates. Create and manage cloud-native services such as Kubernetes (AKS, EKS), containerized applications, and serverless architectures. Set up and manage monitoring systems (e.g., Azure Monitor, CloudWatch, Prometheus, Grafana) for tracking system performance, cost, and security metrics. Implement logging and alerting systems to ensure rapid detection of issues in production. Continuously improve infrastructure performance by analyzing bottlenecks and resource optimization opportunities. Collaborate with software engineers to ensure smooth integration of new code into the pipelines, supporting Agile development cycles. Provide guidance and mentorship to junior DevOps engineers and developers on best practices for cloud infrastructure, CI / CD, and automation. Ensure cloud infrastructure complies with industry standards for security, privacy, and governance. Implement security best practices, including identity and access management (IAM), encryption, and network security. Extensive experience with Azure and AWS cloud platforms, with a strong understanding of their respective services (e.g., Azure Kubernetes Service, AWS EC2, S3, Lambda, CloudFormation, and Azure Resource Manager). Experience with multi-tenant architecture at scale on cloud platforms, including designing isolated environments and managing cross-tenant resources. Strong experience with CI / CD tools such as Jenkins, GitLab CI, Azure DevOps, or AWS CodePipeline. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Azure ARM templates. Proficient in containerization technologies such as Docker, Kubernetes, and container orchestration platforms (AKS, EKS). Familiarity with AI / ML Ops practices and tools (e.g., Azure Machine Learning, AWS SageMaker, MLFlow, Kubeflow). Experience automating the deployment and monitoring of machine learning models in production environments. Proven experience integrating Test-Driven Development (TDD) into CI / CD pipelines. Familiarity with testing frameworks like JUnit, pytest, Mocha, or equivalent for unit, integration, and functional tests. Experience with monitoring tools such as Prometheus, Grafana, CloudWatch, Azure Monitor, and Datadog. Familiarity with logging frameworks such as ELK Stack, Fluentd, or Splunk. Security Best Practices : Experience with cloud security practices, including IAM, security groups, VPNs, and encryption standards.
Description :
Job Title : Devops Engineer
Experience : 5+yrs
Employment type : Part Time
Timings : It would be for 3 - 4 hours on a daily basis starting from 7pm onwards
Key Responsibilities :
Cloud Infrastructure Management (Azure & AWS) :
- Manage and scale cloud-based environments, ensuring high availability, fault tolerance, and security.
- Implement and maintain multi-tenant architectures in cloud platforms (Azure and AWS), ensuring resource isolation and efficient cost management.
- Configure and optimize resources across both Azure and AWS platforms, leveraging best practices for cloud security, networking, and performance.
CI / CD Pipeline Maintenance :
AI / ML Ops Integration :
Test-Driven Development (TDD) Integration :
Automation & Scripting :
Monitoring & Performance Tuning :
Collaboration & Mentoring :
Security & Compliance :
Skills & Qualifications :
Essential :
Cloud Experience :
CI / CD & Automation :
AI / ML Ops Knowledge :
Programming & Scripting :
Strong programming skills in languages such as Python, Go, or Ruby.
Experience with scripting in Bash, PowerShell, or Python for automating tasks.
Test-Driven Development (TDD) :
Monitoring & Logging :
(ref : hirist.tech)
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Cloud Infrastructure Engineer • Delhi, IN
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