Full Stack Cloud Engineer (AI Security Platform)

HiddenLayer is a company dedicated to protecting valuable technologies from adversarial AI attacks. They are seeking a Full Stack Cloud Engineer to design and implement microservices, build cloud-native services, and enhance customer-facing product experiences while ensuring performance and operational excellence.

Responsibilities:

• Ship end-to-end platform features (UI → API → cloud services) that customers rely on daily
• Improve performance and reliability of low-latency, distributed services running in Kubernetes
• Increase deployment confidence and velocity through strong automated test coverage and CI/CD
• Deliver integrations that connect HiddenLayer into the broader cloud, AI, and security ecosystems
• Design and implement microservices in Go and/or Python, with clear API contracts and interoperability
• Build and operate cloud-native services on AWS or Azure, deployed as containerized workloads on Kubernetes
• Build and evolve customer-facing product experiences using TypeScript + React
• Own performance: profile, troubleshoot, and optimize p95/p99 latency, throughput, and resource efficiency
• Strengthen delivery: maintain test strategies (unit/integration/e2e) that enable continuous deployment
• Improve operational excellence: logging/metrics/tracing, alerting, on-call readiness, runbooks, and incident follow-ups
• Partner closely with Product, Security, and Engineering peers, communicate early, document decisions, and seek alignment
• Use AI-assisted development tools to accelerate delivery, while applying strong engineering judgment and security hygiene

Requirements:

• Strong full-stack experience shipping and operating production software
• Proficiency with Go and/or Python (service development in production)
• Proficiency with TypeScript + React
• Hands-on experience with AWS or Azure
• Strong experience with Kubernetes + Docker / containers
• Experience designing or working in microservices / distributed systems, ideally with low-latency requirements
• Experience in Agile delivery environments (iterative planning, continuous improvement)
• Track record of building automated test coverage that supports safe continuous deployment
• Strong communication skills; you proactively align stakeholders and surface tradeoffs
• Comfort with ambiguity and a bias for action, you move forward while clarifying what needs to be figured out
• Exposure to ML/AI concepts or building adjacent to ML workflows
• Experience building security products, cloud security tooling, or security ecosystem integrations
• Familiarity with observability (OpenTelemetry, metrics/logs/traces) and defining SLOs/SLIs
• Experience with API gateways, service mesh, event-driven systems, or contract testing
• Infrastructure-as-Code experience (Terraform, Pulumi, CloudFormation, Bicep)