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Job Description
- Req#: JPC 9033955
Job Decsription:
We are seeking a skilled DevOps Engineer to design, implement, and maintain cloud infrastructure on AWS and Azure platforms. The ideal candidate will have extensive experience with microservices architectures, CI/CD pipelines, and infrastructure as code. They will be responsible for managing identity and access management across both cloud platforms, optimizing application delivery, and ensuring robust security practices.
Essential Functions:• Design and implement scalable cloud architectures using AWS and Azure services
• Manage and optimize microservice stacks, including routing (e.g., AWS Route 53) and serverless computing (e.g., AWS Lambda)
• Implement and maintain identity management solutions in AWS (IAM) and Azure (Azure Active Directory, App Authorization)
• Develop and maintain CI/CD pipelines for reliable and efficient application deployment
• Implement infrastructure as code using tools like Terraform,Serverless, and Terragrunt
• Optimize application performance and cost-efficiency across cloud platforms
• Ensure robust security practices are implemented and maintained across all systems
• Manage and troubleshoot networking components, including VPCs, subnets, and security groups
• Implement monitoring, logging, and alerting solutions for cloud infrastructure and applications
• Collaborate with development teams to streamline the software delivery process
• Continuously evaluate and implement new technologies and best practices
Requirements: • 5+ years of experience in DevOps or Site Reliability Engineering roles
• Strong experience with AWS services (e.g., EC2, ECS, Lambda, Route 53, API Gateway, DynamoDB)
• Solid experience with Azure Azure AD and Authorization schemas including OAuth.
• Proficiency in scripting languages such as Python, Bash, or PowerShell
• Experience with containerization technologies (Docker) and orchestration (Kubernetes)
• Strong understanding of CI/CD principles.
• Expertise in infrastructure as code using Terraform, Terragrunt, or Serverless.
• In-depth knowledge of networking concepts and implementation in cloud environments
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana)
• Strong problem-solving skills and ability to troubleshoot complex systems
Requirements
• Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert)
• Experience with hybrid or multi-cloud architectures
• Knowledge of AI/ML concepts and experience integrating these services into cloud architectures
• Experience with database management and optimization in cloud environments
• Familiarity with compliance standards (e.g., HIPAA, PCI DSS) in cloud environments
Secondary Skills (Nice to Have): • Experience with LLMs, RAG systems, and vector databases
• Familiarity with AI services like AWS Bedrock or Azure Cognitive Services
• Knowledge of API design and development using RESTful principles
• Experience with data pipelines for AI/ML workflows
The ideal candidate will be proactive, detail-oriented, and able to follow through on project needs efficiently. They should be comfortable working in a fast-paced environment and be able to communicate technical concepts clearly to both technical and non-technical stakeholders.
About the company
PROLIM is a global company focused on product innovation by leveraging IT and PLM Technologies. PROLIM has more than a decade of PLM Service history – serving Automotive, Aerospace, High Tech and Industrial Machinery companies throughout the world.
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