Senior Cloud Engineer

About the role

The Cloud Engineer role is a highly self-driven, technically curious position that sits at the intersection of modern cloud native software engineering and the rugged physical systems domain. In this role you will design, build, and operate the scalable, secure infrastructure that powers our ocean current visualization and prediction platform, delivering massive, real time data streams from models and digital twins to end user operators.

You will be responsible for creating end to end cloud solutions that ingest, store, and process scientific data, provision compute resources for high-performance digital twin simulations, and expose robust, versioned APIs (REST, gRPC, WebSocket) that downstream applications consume.

Because many of our products run on physical platforms such as unmanned surface vessels, offshore rigs, and defense grade sensor suites, we seek candidates with proven experience building cloud centric data pipelines, container orchestrated workloads, and automated DevOps/CICD frameworks for robotics, automotive, manufacturing, oil & gas, IIoT, defense, or aerospace applications.

Your ability to translate complex scientific workloads into reliable, cost effective cloud services will directly enable operators and analysts to visualize and act on critical maritime information.

Integer is a science and technology research and development organization. As such, much of our work entails developing solutions for complex problems that presently have no known solutions. To achieve internal and customer project goals all candidates must be able to conduct research, understand new concepts from other engineering disciplines on advanced and complex topics, and document findings in a way that is easy for non-experts to understand.

What you'll do

Design a cloud deployment architecture that bridges multiple customer clouds

Deploy and manage containerized simulation workloads on Kubernetes (EKS, AKS, GKE) or on managed batch services. Implement job scheduling, autoscaling, and provisioning for compute-intensive models.

Collaborate with backend engineers to design secure, versioned services. Implement APIgateway, throttling, and authentication (OAuth2 / OpenID Connect) that the frontend UI consumes.

Observe using centralized logging (ELK/EFK), metrics (Prometheus + Grafana, CloudWatch, Azure Monitor), and distributed tracing (OpenTelemetry) to achieve SLOgrade incident detection and rootcause analysis

Enforce leastprivilege IAM policies, data encryption at rest/inflight, secret management (Vault, AWS Secrets Manager), and vulnerability scanning (Trivy, Snyk). Ensure the environment meets FedRAMP/NIST80053 baselines required for any government funded work.

Evaluate emerging cloud services (e.g., serverless GPUs, managed AI pipelines, datamesh concepts) that could accelerate digital twin simulations or improve data latency.

Qualifications

• Core Requirements
• Must be a US Citizen with the ability to obtain a US DoD/DoW Secret clearance.
• Must have excellent written and oral communication skills.
• 4+ years of relevant experience in cloud architecture and management
• Ability to travel up to approximately 20% of time.
• Additional Desired Skillsets
• Experience running Digital Twins or Simulations in the cloud
• Familiarity with compliance frameworks like FedRAMP, DoD/DoW SRG, and NIST-800-53
• Knowledge and understanding of back-end development using tools and languages such as:
• Rust
• Node.js
• C++
• Experience with network configurations, protocols, certificates, and firewalls.
• Experience with scripting in BASH or Powershell