Senior Software Engineer

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 startups

Have experience scaling infra from seed to Series A+ , especially with real-time systems , AI / ML infra, or media streaming

Built and scaled multi-region or multi-tenant architectures

Are hands-on with Kubernetes , AWS / GCP , Docker , Terraform , Helm

Understand the tradeoffs between performance , cost , and stability

Have a strong sense of DevOps automation , GitOps practices, and security-first thinking

Have worked in or supported SOC2 / ISO27001 / compliance-sensitive environments

Value velocity with quality – you know when to move fast, and when to build it right

Enjoy collaborating across AI, product, and design – not just being given specs

Bonus (Nice to Have)

Experience with LiveKit , WebRTC , or media pipelines

Experience with SDK distribution or managing customer integrations

Background in performance tuning for AI pipelines

Familiarity with tools like Vault, ArgoCD, Spacelift, etc.

What We Offer

A high-ownership role at the ground floor of a high-potential AI startup

Competitive compensation with meaningful equity

Remote-first culture with flexible hours

The chance to shape not just infra, but also culture and engineering excellence

Deep collaboration with founders and direct impact on product roadmap