DevOps Engineer
Core
Own build, release, and deployment processes for AI agent integrations across Azure and AWS environments.
Role type
DevOps Engineer (AI/ML infrastructure)
Builds
CI/CD pipelines, automated deployment workflows, and scalable multi-cloud infrastructure for AI agent solutions.
Domain
Enterprise software, AI agents, multi-cloud (Azure/AWS)
Deliverable
production ML models | infrastructure
Required skills
CI/CD pipeline management, Infrastructure-as-Code (Terraform/CloudFormation), multi-cloud operations (Azure/AWS), scripting (Bash/Python/SQL), Kubernetes, Kafka, Redis, relational databases, automated testing, incident resolution, release management strategies.
Preferred skills
None stated.
Technologies
Azure, AWS, Jenkins, GitHub Actions, Terraform, CloudFormation, Kubernetes, Kafka, Redis, Bash, Python, SQL.
Responsibilities
Manage end-to-end CI/CD pipelines for software releases; Automate and maintain build, integration, and deployment workflows; Monitor and optimize infrastructure performance, reliability, and cost efficiency; Implement Infrastructure-as-Code (IaC); Support troubleshooting, incident resolution, and proactive performance monitoring; Collaborate with engineering, QA, and support teams to streamline delivery; Work with security and compliance teams to align deployment pipelines with governance requirements.
Seniority
Mid-to-Senior, hands-on IC