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Senior Cloud Architect (AWS)
Quantum Circuits Inc.New Haven, United Statesfull_timeVerifiedPosted 2 Jun 2026
About the role
At Quantum Circuits Inc., we are building the world’s first truly algorithmic quantum computers to achieve transformational computing capabilities. Our full-stack quantum computing platform uses dual-rail superconducting devices along with a modular, robust, and scalable architecture. Our unique approach is based on a decade of technology research and breakthroughs at Yale University's world-renowned quantum labs.
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. This is a senior, hands-on role ideal for a systems thinker who can architect complex distributed systems, guide modernization efforts, and contribute directly to high-priority cloud initiatives.
Our cloud-based applications frequently interface with specialized hardware platforms, including embedded systems and scientific instrumentation, and support a range of data-intensive workloads. While direct experience with these systems isn't required, a strong conceptual understanding of Linux internals, embedded environments, or FPGA-based architectures will enable you to architect more effective, integrated solutions. You'll be expected to work independently, lead projects from concept through delivery, and collaborate cross-functionally to align technical solutions with organizational objectives.
Responsibilities / Description:
- 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.
Minimum Qualifications:
- 7+ years of experience in software, infrastructure, or cloud engineering, with significant time spent designing and delivering AWS-based architectures
- 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
Preferred Qualifications:
- 10+ years of experience in software, infrastructure, or cloud engineering, with significant time spent designing and delivering AWS-based architectures, bonus points for experience with Braket
- 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
- 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
Quantum Circuits Inc., is an equal opportunity employer. All applicants w
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