We are seeking a highly capable and forward-thinking Infrastructure & DevOps Engineer with deep experience in cloud-native platforms, automation, and a passion for leveraging Agentic AI to optimize infrastructure operations. This role is ideal for someone who thrives in a dynamic environment and is eager to shape the future of DevOps through intelligent automation, observability, and scalable architecture.
Requirements
- Design, implement, and manage cloud infrastructure on AWS, including EKS, EC2, S3, IAM, RDS (PostgreSQL), DynamoDB, and CloudWatch.
- Build and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation.
- Develop and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, and AWS CodePipeline.
- Automate infrastructure provisioning, monitoring, and scaling using scripting languages such as Python, Bash, or Go.
- Support and optimize Kubernetes workloads on AWS EKS, including autoscaling, logging, and observability.
- Integrate and deploy decision models built in IBM ADS, ensuring secure and scalable runtime environments.
- Leverage Agentic AI frameworks to automate DevOps tasks such as anomaly detection, self-healing infrastructure, and intelligent alerting.
- Implement and manage observability and monitoring using Dynatrace, including custom dashboards, alerting, and performance tuning.
- Collaborate with engineering and data teams to ensure seamless deployment and monitoring of APIs, data pipelines, and decision services.
- Implement best practices for cloud security, networking, and cost optimization.
Benefits
- Equal Opportunity Employer
- Diversity, Equity, and Inclusion efforts
- Innovative work environment