QuadSci.ai · 18 hours ago
Cloud Native Engineer
United States
Full-time
Remote
Mid Level
3+ years expQuadSci.ai is an AI product company that leverages fine-tuned AI to enhance customer experiences for software companies. The Cloud Native Engineer will design and manage cloud infrastructure to support AI products, collaborating with various engineering teams to ensure reliability and scalability.
AnalyticsArtificial Intelligence (AI)B2BPredictive AnalyticsSoftware
Responsibilities
Design, architect, and deploy cloud-native applications using modern patterns (microservices, containers, Kubernetes, serverless)
Build and manage cloud infrastructure using Infrastructure as Code (Terraform, CloudFormation)
Configure and optimize infrastructure for parallel processing of large-scale AI and data workloads
Instrument observability and monitoring for QuadSci products, including data pipelines, AI services, and action workflows (e.g. Azure Monitor, Google Cloud Operations Suite,Grafana, Loki, OpenTelemetry)
Partner with customer DevOps and SRE teams to design and implement CI/CD pipelines and deployment strategies
Collaborate with Data/ML Engineers to provision and optimize infrastructure for AI workloads leveraging Azure Machine Learning, Vertex AI, and managed compute services
Work with Full Stack Engineers to design backend cloud services and deployment architectures
Act as a trusted cloud advisor across 1–5 customer environments
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, or related field
3+ years of experience in cloud architecture, platform engineering, or DevOps
Strong experience with cloud-native application design, containers, and Kubernetes
Proficiency with Infrastructure as Code tools (Terraform, CloudFormation)
Hands-on experience designing and maintaining CI/CD pipelines
Experience implementing cloud security best practices (IAM, encryption, vulnerability scanning)
Experience with monitoring, observability, and performance optimization
Familiarity with observability tooling (e.g., Grafana, Loki, Elasticsearch)
Experience deploying applications via containers and modern CI/CD platforms (GitHub, GitLab, Bitbucket)
Preferred
Master's degree in a related field
Experience with serverless architectures and frameworks
Experience supporting or building MLOps pipelines
Strong understanding of networking concepts (VPCs, load balancing, service meshes such as Istio or Linkerd)
Familiarity with Python-based APIs
Cloud certifications (AWS, GCP, Azure, Snowflake)
Experience with Azure-native services (AKS, Azure Container Registry, Azure Data Factory, Azure Synapse Analytics, Azure Databricks)
Experience with GCP-native services (GKE, Artifact Registry, Cloud Composer, BigQuery, Dataflow, Dataproc)
Experience with OpenTelemetry and distributed tracing
Company
QuadSci.ai
QuadSci is a provider of AI Products for B2B Software GTM teams.
11-50 employees
H1B Sponsorship
QuadSci.ai has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Early StageLeadership Team
Dan Harmeson
Co-Founder & Co-CEO
Recent News
Morningstar.com
2025-06-25
Company data provided by crunchbase