You’ll be one of the First Senior Engineers to join Revrag’s core team. This is a hands-on IC role with significant scope for ownership across infrastructure, platform engineering, security, and reliability. You’ll work closely with the CTO and engineering manager to :
- Design and implement high-availability infrastructure for real-time AI voice interactions
- Build and manage scalable Kubernetes-based deployments (cloud + on-prem + private cloud)
- Set up infrastructure as code (IaC) using Terraform / Pulumi
- Lead the setup of multi-tenant, isolated environments and support for on-prem deployment
- Define and implement observability and alerting (e.g., Prometheus, Grafana, ELK)
- Drive DevSecOps practices, SOC2 / ISO compliance automation, secrets management, access control
- Architect CI / CD pipelines , staging / prod separation, rollout strategies (blue / green, canary)
- Optimize infra for low-latency, high-throughput use cases , especially around AI inference and media streaming
- Help integrate with third-party tools like CRMs or enterprise services
- Collaborate with product and AI engineers to ensure infrastructure supports real-time AI services (OpenAI, ElevenLabs, Deepgram, etc.)
Requirements
Have 6+ years of experience as a backend / platform / infra / DevOps engineer in high-growth startupsHave experience scaling infra from seed to Series A+ , especially with real-time systems , AI / ML infra, or media streamingBuilt and scaled multi-region or multi-tenant architecturesAre hands-on with Kubernetes , AWS / GCP , Docker , Terraform , HelmUnderstand the tradeoffs between performance , cost , and stabilityHave a strong sense of DevOps automation , GitOps practices, and security-first thinkingHave worked in or supported SOC2 / ISO27001 / compliance-sensitive environmentsValue velocity with quality – you know when to move fast, and when to build it rightEnjoy collaborating across AI, product, and design – not just being given specsBonus (Nice to Have)
Experience with LiveKit , WebRTC , or media pipelinesExperience with SDK distribution or managing customer integrationsBackground in performance tuning for AI pipelinesFamiliarity with tools like Vault, ArgoCD, Spacelift, etc.What We Offer
A high-ownership role at the ground floor of a high-potential AI startupCompetitive compensation with meaningful equityRemote-first culture with flexible hoursThe chance to shape not just infra, but also culture and engineering excellenceDeep collaboration with founders and direct impact on product roadmap