Technology Architect | Data On Cloud - Platform | AWS

About the role

This is a 12-month contract position located in Greenwood Village, CO 80111 (onsite-hybrid). Candidates must be willing to relocate to the client’s location. Visa-independent candidates only. Target start date is 14 Aug 2026.

Responsibilities

• Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC).
• Design and manage event-driven architectures leveraging Apache Kafka.
• Implement containerization and orchestration solutions using Docker and Kubernetes.
• Ensure platform compliance, governance, and security best practices.
• Develop and maintain CI/CD pipelines (GitLab CI preferred).
• Monitor, alert, and respond to production incidents at scale.
• Optimize AWS cost monitoring and management.
• Build automation, tooling, and applications using Python (or comparable language).
• Write integration code against REST APIs and cloud SDKs (e.g., AWS SDK / boto3).
• Mentor engineering teams and make independent technical decisions.
• Triage production issues without escalation.
• Design and maintain data pipeline architectures (batch and streaming).

Requirements

• 8+ years of relevant experience.
• Strong experience with Infrastructure-as-Code (Terraform preferred, CloudFormation acceptable).
• Experience with production monitoring, alerting, and incident response at scale.
• Experience with cost monitoring and optimization in AWS environments.
• Experience with containerization (Docker) and CI/CD pipelines (GitLab CI preferred).
• Experience with event-driven architectures and messaging systems (e.g., Kafka, SNS/SQS, EventBridge).
• Proficiency with Linux-based operating systems and shell scripting.
• Proficiency in Python (or a comparable general-purpose language) for building automation, tooling, and applications.
• Solid software engineering fundamentals: Git-based workflows, code review, modular and reusable design, dependency management, and writing maintainable, documented code.
• Experience writing automated tests (unit/integration) for application and infrastructure code, and integrating those tests into CI/CD.
• Understanding of networking fundamentals: DNS, CIDR, NAT, VPC endpoints, firewalls, security groups.
• Understanding of data pipeline architectures (batch and streaming) and common failure modes.

Skills

• Must Have: AWS, DevOps, Python, AI, Kafka
• Nice to Have: Kubernetes

Intake call requested and completed as part of the process. Interview process is virtual.