Cloud Engineer jobs in United States
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Outsource Talent Pro · 8 hours ago

Cloud Engineer

Outsource Talent Pro is pioneering the next era of media applications through quantum computing. They are seeking a Senior Cloud Engineer to own and evolve the cloud infrastructure and DevOps operations for their quantum-classical computing platform, ensuring reliable and automated workflows as they transition from R&D to customer pilots.

Outsourcing/Offshoring

Responsibilities

Own AWS infrastructure : Design, deploy, and maintain our primary cloud environment, currently hosted on Cloudflare
Kubernetes management : Operate and optimize our K8s clusters for compute-intensive quantum-classical workflows
Infrastructure as Code : Maintain and extend Terraform configurations for consistent, reproducible environments
Cost optimization : Monitor and optimize cloud spending for compute-heavy workloads with unique resource constraints
Covalent integration : Work with Covalent cloud orchestration software to manage hybrid quantum-classical workflows
Workflow automation : Build and maintain pipelines that coordinate jobs across classical compute (AWS) and quantum hardware providers
Queue management : Handle the unique challenges of batch-oriented workflows with 45-minute+ quantum hardware delays
Multi-environment coordination : Orchestrate workloads across on-prem, cloud, and quantum hardware resources
CI/CD pipelines : Maintain and improve deployment automation for the Archaea platform and supporting services
Python automation : Write scripts and tools to automate infrastructure operations and workflow management
Monitoring & observability : Implement and maintain monitoring, logging, and alerting for platform reliability
Deployment management : Ensure smooth deployments and rollbacks for our application and research teams
Code review & quality contribution: Participate in code review and quality processes, particularly when translating research code into production—this is a SHARED responsibility with the software engineering team, where you contribute your DevOps and infrastructure perspective
Support application scientists : Provide infrastructure support for 2 quantum physics PhDs running experiments and demonstrations
Collaborate with software engineers : Work alongside 2 software engineers (one application site engineer, one managing DevOps transition)
Cross-timezone coordination : Collaborate with international team members in Switzerland and UK (7am EST availability required)
Customer-facing readiness : Help prepare infrastructure for customer pilots and demonstrations

Qualification

AWSKubernetesInfrastructure as CodeCI/CD pipelinesPythonCovalentMonitoring toolsCloud securityStartup mentalitySelf-directedMulti-cloud experienceCollaboration

Required

5+ years of hands-on experience with AWS (EC2, S3, networking, security)
Strong experience with Kubernetes in production environments
Proficiency with Infrastructure as Code (Terraform preferred, Ansible acceptable)
Deep understanding of cloud architecture, security, and cost management
Proven track record building and maintaining CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.)
Strong Python scripting skills for automation and tooling
Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, etc.)
Version control expertise (Git workflows, branching strategies)
Startup mentality: Comfortable with ambiguity, autonomous decision-making, and wearing multiple hats
Early riser: Availability starting 7am EST for coordination with international team
In-office presence: Located in or willing to relocate to NYC; in-office 3+ days/week (10am attendance required)
Self-directed: Can work independently, prioritize effectively, and drive projects to completion
Previous startup experience strongly preferred over large tech company background

Preferred

Familiarity with Covalent or similar workflow orchestration software (you'll learn this on the job, but existing experience is valuable)
Experience with HPC (High-Performance Computing) environments or scientific computing workflows
Data science/data management background or experience supporting data-intensive research teams
Security expertise: Cloud security, compliance, secrets management, vulnerability scanning
Exposure to quantum computing frameworks (Qiskit, PennyLane) or willingness to learn (2-3 month learning curve expected)
Experience working closely with research scientists or PhD-level technical teams
Batch job scheduling systems (Slurm, PBS, etc.) or queue-based workflow management
Multi-cloud experience (GCP, Azure) though AWS is our primary platform

Company

Outsource Talent Pro

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Outsource Talent Pro (OTP) connects global businesses with exceptional South African talent through a seamless, fully managed outsourcing model.

Funding

Current Stage
Early Stage
Company data provided by crunchbase