Senior Cloud Architect (AWS)

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 will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job Quantum Circuits Home Page Jobs powered by

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