United States onlyThis is a remote position.
Software Engineer (Full Stack) — Mid to Senior (Onsite)
About the role
We’re hiring a Mid-to-Senior Software Engineer (Full Stack) to help build and scale a B2B/B2C PaaS platform. This is a new headcount on a small, high-ownership team (5–10 engineers). While this is a full-stack role, it is backend-leaning (~80%) with meaningful contributions across the stack when needed.
You’ll report to the Tech Lead and work in an Agile/Scrum environment focused on shipping high-quality product iteratively.
What you’ll do
- Own execution of implementation work end-to-end: design, build, test, release, and operate services and features.
- Build and evolve backend services in Golang, including REST, gRPC and WebRTC APIs.
- Contribute to platform capabilities including serverless workloads, pub/sub messaging (NATS), and service integrations.
- Work with data stores and infrastructure such as Postgres, Redis, and Milvus to deliver reliable, performant systems.
- Contribute to frontend delivery using TypeScript and Aurelia when required (UI wiring, feature implementation, integration).
- Use agentic tooling to support development workflows (design exploration, code generation, refactoring, test creation, troubleshooting), and validate outputs with strong review and verification habits.
- Improve reliability and performance through strong engineering fundamentals: observability, profiling, throughput, and compute efficiency.
- Participate in code reviews, technical discussions, and continuous improvement of engineering practices.
What we’re looking for (must-haves)
- 5+ years of applied industry experience (excluding educational experience).
- Strong fundamentals in software engineering: clean code, data structures, APIs, distributed systems basics, debugging, and performance thinking.
- Professional experience building enterprise-grade applications and services.
- Strong problem-solving and critical thinking, with a bias toward execution and delivery.
- Understanding of throughput/compute considerations (latency, scaling characteristics, resource usage/cost tradeoffs).
- Experience building and shipping production systems with testing discipline (unit/integration/e2e as appropriate).
- Comfortable using agentic tooling (AI-assisted development/automation agents) to accelerate implementation work, while maintaining strong engineering judgment, code quality, and security practices.
- Comfort working across a modern stack and collaborating closely within an Agile/Scrum team.
Technical environment (what you’ll work with)
- Backend: Golang, REST, gRPC
- Frontend: TypeScript, Aurelia
- Data: Postgres, Redis, Milvus
- Platform: Kubernetes, cloud-agnostic infrastructure, Terraform
- Messaging: NATS (pub/sub)
- CI/CD: GitLab
- Observability: OpenTelemetry (OTLP)
Nice-to-haves (strong plus)
- AI engineering experience, especially productionizing AI features/services.
- Experience with AI inference across vision, audio, text, and multimodal workloads.
- Experience operating high-scale / high-traffic systems.
- Experience building/maintaining language SDKs and strong API developer experience.
CA and US only