Full Stack Cloud Engineer; AI Security Platform

Full Stack Cloud Engineer (AI Security Platform)

Remote - US

Remote (within the US) – strong preference for Eastern Time Zone hours

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 Hidden Layer 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 Type Script + 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.

• Strong full‑stack experience shipping and operating production software.
• Proficiency with Go and/or Python (service development in production).
• Proficiency with Type Script + 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 trade‑offs.
• 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 (Open Telemetry, 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, Cloud Formation, Bicep).

• Fully Remote: generous stipend for home office setup, annual upgrades, and monthly stipend for internet/phone expenses.
• Comprehensive Health & Wellness Benefits: multiple medical, vision, dental, and 401(k) options fully subsidized.
• Flexible Time Off: unlimited and flexible leave for all 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: commitment to building a diverse team and equal opportunity employment.

Hidden Layer is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.