Software Engineer (Quality) (AI)

TL;DR

Software Engineer (Quality) (AI): Increase deployment confidence and velocity by embedding automation and quality signals into engineering work for low-latency, distributed services in Kubernetes with an accent on catching regressions early and validating failure modes. Focus on building rapid team-embedded validation in CI/CD, establishing quality metrics for microservices, and partnering with Engineering, Product, and Security teams.

Remote (US) - strong preference for Eastern Time Zone hours

Company

hirify.global protects the world’s most valuable technologies from adversarial AI attacks with a patent-pending solution to secure AI adoption.

What you will do

• Build and maintain automation (unit/integration/e2e) for continuous deployment with high confidence.
• Create test harnesses and frameworks for critical-path, upgrade, and failure-mode testing across microservices.
• Validate installation and upgrade workflows for Kubernetes deployments (Helm, manifests, customer-like configuration).
• Run environment and compatibility testing across cloud and customer setups (AWS/Azure).
• Track, publish, and operationalize quality metrics (coverage, flake rate, defect escapes, regression trends).
• Partner closely with Engineering, Product, and Security—communicate risks and align on release readiness.
• Use AI-assisted tools to accelerate test development, triage, and analysis.

Requirements

• Experience shipping automation-first quality practices that support safe continuous deployment.
• Strong experience testing microservices/distributed systems, including integration points and failure scenarios.
• Hands-on experience with Kubernetes and containerized workloads (Docker, Helm-based deployments).
• Familiarity with AWS or Azure environments and cloud-native debugging.
• Ability to contribute in at least one of: TypeScript/React, Go, or Python.
• Experience working in Agile delivery environments.
• Strong communication skills; proactively align stakeholders and surface tradeoffs.
• Comfort with ambiguity and a bias for action.

Nice to have

• Experience with low-latency/performance testing (p95/p99 regression detection, load testing).
• Familiarity with observability (metrics/logs/traces) and using telemetry to improve test signal.
• Experience building quality dashboards and defining quality KPIs across services.
• Exposure to ML/AI workflows or platforms and testing those integrations.
• Experience with contract testing, service mesh/API gateways, or event-driven systems.

Culture & Benefits

• Fully remote global team with intentional in-person gatherings a couple of times a year, home office stipend, and monthly internet/phone expenses.
• Comprehensive health & wellness benefits including multiple subsidized healthcare options, vision, dental, and 401k.
• Unlimited and flexible time off for salaried employees plus 15 paid company holidays.
• Commitment to learning and development through a dedicated L&D fund for training, conferences, and certifications.
• Diversity, equity, and inclusion focus as an equal opportunity employer.