We are seeking a highly skilled and self-motivated Senior Cloud Architect to join our dynamic team. The ideal candidate has a strong background in leading the design, implementation, and continuous improvement of our cloud infrastructure.
Requirements
- Design and implement secure, scalable, and maintainable cloud architectures to support a variety of internal applications and workflows.
- Continuously assess and improve existing systems to reduce complexity, boost performance, and increase reliability.
- Lead full lifecycle delivery of technical initiatives — from design through hands-on implementation, documentation, and internal knowledge transfer.
- Define and enforce cloud security, observability, and operational readiness best practices across environments.
- Translate complex technical and business requirements into cloud-native, scalable solutions.
- Understand CI/CD pipelines, Docker-based containerization (or comparable technologies), and infrastructure automation; able to collaborate with DevOps engineers, identify opportunities for improvement, and contribute directly when needed.
- Contribute to Python-based tools, infrastructure code, or reference implementations that support architectural goals.
- Proven track record of leading complex technical projects from planning through production deployment
- Deep understanding of AWS services, including IAM, VPC, EC2, Lambda, API Gateway, CloudWatch, and S3
- Proficiency in at least one modern programming language (preferably Python), including developing and consuming RESTful APIs
- Familiarity with container-based deployment strategies and tools (e.g., Docker), including defining and managing container images
- Understanding of CI/CD workflows, infrastructure automation, and Infrastructure-as-Code using Terraform or CloudFormation
- Strong grasp of security, observability, and operational best practices for cloud-native applications
- Ability to collaborate effectively across technical teams, translate business needs into technical designs, and drive architecture to completion
- Strong conceptual understanding of Linux internals, including custom OS builds, low-level debugging, or supporting non-standard hardware environments
- Familiarity with FPGA-based devices, embedded compute modules, or virtualization platforms used for scientific or control systems
- Ability to bridge hardware-generated data and cloud-native applications, such as designing data platforms or pipelines that integrate on-prem sources with simulation, analytics, or machine learning workflows
- Understanding of how to ingest, structure, and monitor telemetry, logs, and diagnostics from distributed systems across cloud and on-prem environments
- Experience with cloud interface to any of the following Quantum environments: Azure Preview, Qiskit, cuda-Q
- Experience designing cloud architectures that interact with hardware platforms, embedded systems, or data acquisition environments
Benefits
- 401(k)
- Medical
- Dental
- Vision
- Life Insurance
- Stock Options
