This 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)

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  • 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.