Design and maintain infrastructure-as-code using CDK and CloudFormation for AWS environments, ensuring reproducible and scalable deployments.
Build and optimize CI/CD pipelines for containerized microservices written in Python, Typescript, and Go.
Implement and manage Amazon ECS clusters for orchestrating production workloads and development environments.
Build, configure, and maintain observability stack using industry best practices.
Manage data infrastructure including RDS, S3, and streaming services for AEC data pipelines.
Implement security best practices, including secrets management, IAM policies, and network segmentation.
Collaborate with development teams to optimize application performance and deployment strategies.
Document infrastructure patterns, runbooks, and operational procedures for team knowledge sharing.
Participate in on-call rotation and incident response, driving root cause analysis and prevention.

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
2-4 years of hands-on experience with AWS services (EC2, ECS, Lambda, RDS, S3, CloudFormation/CDK).
Strong proficiency with Docker and container orchestration using Kubernetes.
Experience with infrastructure-as-code tools (CloudFormation/CDK preferred, Terraform acceptable).
Solid understanding of CI/CD principles and tools (GitHub Actions, Jenkins, or GitLab CI).
Strong background in Python scripting.
Experience with observability and monitoring tools (Prometheus, Grafana, and OpenTelemetry).
Strong Linux/Unix administration skills and networking fundamentals.
Excellent problem-solving abilities and capacity to troubleshoot complex distributed systems.

Opportunity to build cloud infrastructure that transforms how the built environment is designed and delivered.
Exposure to cutting-edge DevOps practices and tools in a rapidly evolving technology landscape.
Mentorship from senior engineers with deep expertise in cloud architecture and AEC technology.
The chance to work on diverse technical challenges spanning real-time data processing, AI/ML pipelines, and enterprise integrations.
Direct impact on products that influence billion-dollar construction projects and critical infrastructure.

DevOps Engineer

Key skills