Full Stack Cloud Engineer (AI Security Platform)

About the role

In your first 6–12 months, you'll help us:

• 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.

What You'll Do

• 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.

Who You Are

• 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.

PREFERRED

• 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).

Why HiddenLayer

• Fully Remote: Completely remote global team with intentional in-person gatherings a couple of times a year.
• Generous stipend for home office setup, annual upgrades, and monthly internet/phone expenses.
• Comprehensive Health & Wellness Benefits: Five healthcare options, some fully subsidized, plus vision, dental, and 401k.
• Flexible Time Off: Unlimited and flexible time off for salaried employees, plus 15 paid company holidays.
• Commitment to Learning and Development: Dedicated L&D fund for training, conferences, certifications, and industry events.
• Diversity, Equity, and Inclusion: Equal opportunity employer committed to building a diverse team.