Full Stack Engineer

Full Stack Develfoper

We're hiring a Full Stack Developer who can ship at two speeds: engineering production-grade systems the traditional way, and building prototypes and features in hours using AI-assisted vibe coding.

You'll build a leadership intelligence platform with social and AI features, on an event-driven microservices architecture that integrates with enterprise HR systems such as Workday. You'll know when speed matters, when rigor matters, and how to turn a fast AI-built prototype into code that is safe to run in production. You also run what you build:CI/CD pipelines, cloud infrastructure, monitoring and on-call.

What you'll do

• Build web features end to end in Next.js and TypeScript, from UI to API to database.
• Build mobile features in React Native (Expo) that share types and logic with the webapp.
• Design and build backend microservices in NestJS, each owning its own PostgreSQLdatabase.
• Expose services through a federated GraphQL gateway, and connect servicesthrough gRPC and Kafka events.
• Build reliable cross-service workflows (approvals, write-backs, scheduled syncs) withTemporal.
• Integrate with enterprise systems such as Workday, applicant tracking and ERP platforms through REST, SOAP and report-based APIs.
• Ship AI features: LLM-powered summaries, assistants, RAG search and content moderation, working with the AI service team.
• Prototype new ideas fast with AI coding tools, then harden the ones that work: tests,types, security review, observability.
• Write and review pull requests for both hand-written and AI-generated code.
• Build and maintain cloud infrastructure on AWS with Terraform: networking, Kubernetes clusters, databases, event streaming and IAM.
• Own CI/CD end to end: GitHub Actions pipelines, container builds, Git Ops deployments with ArgoCD, canary releases and automated rollbacks.
• Run your services in production: instrument logs, metrics and traces, set alerts, jointhe on-call rotation and write postmortems.
• Keep the platform secure and cost-efficient: secrets management, least-privilegeaccess, image scanning, right-sized workloads

The Desired Skills:

• Microservices and event-driven systems: Kafka (or Redpanda), outbox pattern,idempotent consumers.
• Workflow engines such as Temporal.
• React Native or Expo apps published to the App Store or Google Play.
• Integrations with HR, payroll or ERP platforms, especially Workday (REST, SOAP,RaaS).
• LLM application work: RAG, embeddings (pgvector), tool-calling agents, prompt evals(Langfuse or similar).
• Redis, OpenSearch or ClickHouse.
• Fine-grained authorization (OpenFGA or another Zanzibar-style system).
• Service mesh (Linkerd or Istio), cluster autoscaling (Karpenter) and cloud cost optimization.
• Certifications: AWS (Developer, SysOps or Solutions Architect), CKA or CKAD, HashiCorp Terraform Associate.
• Experience handling sensitive HR data in SOC 2 environments, with awareness of privacy rules such as CCPA/CPRA and GDPR.

Job Requirements:

• 5 years building and shipping full stack web applications in production.
• Strong TypeScript, with React and Next.js on the frontend and Node.js (NestJS orExpress) on the backend.

Engineering:

• Solid SQL and PostgreSQL: schema design, migrations, indexing, query tuning.
• API design with REST and GraphQL; you understand versioning, pagination and error handling.
• Testing habits: unit, integration and end-to-end tests (Jest or Vitest, Playwright).
• Git, pull request workflows and CI/CD pipelines (GitHub Actions or similar).
• Security basics: authentication (OAuth 2.0, OIDC), authorization, input validation, secrets handling, OWASP Top 10.

AI-assisted development

• Hands-on use of at least one AI coding agent or assistant (Claude Code, Cursor, Copilot or similar). Has turned at least one AI-built prototype into a maintained production feature.
• Integrations with HR, payroll or ERP platforms, especially Workday (REST, SOAP,RaaS).
• React Native or Expo apps published to the App Store or Google Play.
• LLM application work: RAG, embeddings (pgvector), tool-calling agents, prompt evals (Langfuse or similar).

DevOps and cloud

• Docker: production Docker files, multi-stage builds, small and hardened images.
• Kubernetes: deploy, scale and debug workloads (Deployments, Services, Ingress, autos caling, ConfigMaps and Secrets), packaged with Helm.
• CI/CD: pipelines in GitHub Actions (or similar) with tests, security scans and safe rollout strategies; GitOps experience (ArgoCD or Flux).
• Infrastructure as code with Terraform on AWS (or GCP): VPC, EKS, RDS, IAM, S3.
• Observability: OpenTelemetry instrumentation, dashboards and alerts in Grafana or Datadog; finding a problem from logs, metrics and traces.
• Production operations: on-call, incident response, rollbacks, backup and restore, postmortems.
• Linux and networking fundamentals: shell, DNS, TLS, load balancers.
• Uses AI agents to draft Terraform, Helm and pipeline code, and reviews every planbefore it touches real infrastructure.