About The Role
We're hiring a Sr. Software Developer to design, build, and operate the platform and backend systems that power the Company at scale. You'll own core infrastructure — from Kubernetes and cloud-native services to APIs and developer tooling — and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code, design systems, lead code reviews, and make the engineering organization more effective.
What You'll Do
- Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
- Own Kubernetes at depth — clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
- Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or GCP for scale, reliability, and performance.
- Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
- Collaborate across teams — Product, AI, and Security — to align architecture with business objectives.
- Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
- Partner with leadership to align engineering strategy with product objectives and technical roadmap.
What We're Looking For
- 6+ years of software engineering with deep backend and infrastructure focus.
- Strong programming skills in Python and/or Go — you ship production code, not just scripts and configs.
- Deep, hands-on Kubernetes experience — building and operating clusters, not just deploying to them.
- Proven experience designing and operating distributed systems in production.
- Cloud-native fluency across AWS and/or GCP — compute, storage, IAM, networking, and managed services.
- Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
- Familiarity with applied AI tooling and patterns — agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks — and being able to build backend services that integrate with them.
- Strong system design and architectural judgment.
- Clear communicator who partners well across product, security, and AI teams.
Nice to Have
- Observability stacks — Prometheus, Grafana, Datadog, OpenTelemetry.
- Multi-cloud or hybrid infrastructure experience (AWS, GCP, on-prem).
- Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC, OPA).
- Service mesh or platform-as-a-service design experience.
- Track record of improving engineering productivity at scale.
