Build the future of
autonomous growth
We're a small, technical team building AI-native infrastructure. Every role matters.
Voleryo is building the infrastructure layer for autonomous AI-driven growth. We move fast, write production-grade code, and take security seriously. If you want to work on problems that matter — at the intersection of AI, distributed systems, and real business impact — we'd love to hear from you.
You'll own the infrastructure that runs Voleryo's agent fleet — designing, deploying, and hardening the systems that keep 8+ AI agents operational around the clock. This means Kubernetes orchestration, CI/CD pipelines, secrets management, and real-time observability.
- Design and maintain cloud infrastructure (AWS/GCP) for agent workloads
- Build and own CI/CD pipelines
- Implement secrets management and credential vaulting
- Set up monitoring, alerting, and incident response
- Enforce security hardening across all environments
- Collaborate with engineering on infrastructure-as-code
- 3+ years DevOps/SRE experience
- Strong Kubernetes and Docker
- Experience with Terraform or Pulumi
- Familiarity with secrets management (Vault, AWS Secrets Manager)
- Security-first mindset
- Bonus: experience with AI/ML workloads
You'll work on the core Voleryo platform — building the agent runtime, tool orchestration layer, and the systems that make 8+ AI agents work reliably in production. This is infrastructure-level software engineering with a focus on correctness, security, and performance.
- Build and maintain the agent execution runtime
- Design tool orchestration and connector APIs
- Implement behavioral monitoring and audit logging
- Write production-grade, well-tested code
- Contribute to security architecture decisions
- Work closely with the DevOps team on deployment
- 3+ years software engineering experience
- Strong Python and/or TypeScript
- Experience building APIs and distributed systems
- Understanding of AI agent frameworks (LangChain, LlamaIndex, etc.)
- Security-conscious engineering mindset
- Bonus: experience with prompt engineering or LLM tooling