SOFTWARE ENGINEER-FULLSTACK CLOUD INFRASTRUCTURE

We’re looking for a senior engineer who likes owning things end to end.

• Take an idea from a whiteboard to a working proof of concept, then through to a production system that people depend on.
• Move between rapid prototyping and production hardening as needed.
• Own infrastructure, CI/CD, observability, and security alongside application development.
• Work directly with leadership in an environment with no separate DevOps handoff.

What You’ll Work On

• Spec-driven development - write requirements, design, API contracts, data models, and correctness properties before coding.
• Rapid prototyping - turn a business idea into a working proof of concept quickly, while keeping it structured enough to scale.
• Production delivery - harden prototypes, provision infrastructure, build pipelines, promote through Dev, QA, Staging, and Production, and maintain stability after launch.
• Backend services - build REST APIs, background workers, data pipelines, and integrations with Microsoft 365, Salesforce, AI/LLM providers, and payment systems.
• Cloud infrastructure - manage AWS resources written as Terraform across multiple environments.
• CI/CD pipelines - build automated build, test, scan, deploy, and rollback workflows.
• AI and LLM integrations - connect LLM APIs into product workflows, including prompt design, structured output handling, confidence scoring, and cost tracking.
• Agentic AI systems - design AI agents with multi-step reasoning, tool use, structured outputs, human-in-the-loop checkpoints, and graceful handling of uncertainty.
• Observability - implement structured logging, custom metrics, health checks, and alerting.
• Frontend - work with React, Next.js, or TypeScript-based frontends as needed., This is what the day-to-day work actually looks like, so be honest with yourself about whether it fits.

• Backend: Strong in at least one backend language - Python or Node.js/TypeScript - and able to pick up the other when needed. Able to write production-grade code with async patterns, strong typing, explicit error handling, structured logging, and stable REST APIs with proper HTTP semantics and server-side auth enforcement.
• AWS: Experience provisioning and operating ECS Fargate, RDS, ALB, ECR, IAM, Secrets Manager, and CloudWatch in production. Able to manage Terraform with proper environment separation, remote state, and module structure.
• Containers and CI/CD: Experience building production Docker images with multi-stage builds, non-root users, health checks, and image scanning, plus CI/CD pipelines in GitLab CI or GitHub Actions with automated deployment, rollback, and no long-lived credentials.
• Agentic AI: Understands tool-calling or function-calling workflows, structured prompting, uncertainty handling, and human-in-the-loop design, especially in high-stakes environments like payments. Experience with LangChain, LlamaIndex, Strands, or custom agent loops is relevant.
• Security: Comfortable with parameterized queries, secrets managers, least-privilege IAM, and input validation at the API boundary.
• Testing: Writes meaningful unit, integration, and property-based tests that catch real regressions.
• Nice to have: Datadog APM and custom metrics, enterprise OAuth2 integrations such as Microsoft Graph and Salesforce, LLM API experience with Anthropic or OpenAI, and OIDC-based CI/CD auth to AWS.