2 months ago
Responsibilities
- Contribute to the design and implementation of platform-engineering domains and shape the future of platform engineering at Replicant.
- Build systems that reduce toil and keep production infrastructure available and operable under large-scale, real-time conversational AI traffic.
- Extend the agent harness, including CI, sandboxes, guardrails, validation, and agent-first evaluation loops.
- Own and improve CI/CD pipelines and developer tooling, including build and test performance, deployment ergonomics, and paved paths for new services.
- Participate in on-call rotation and incident management to maintain platform uptime and quality.
Requirements
- 6+ years of experience in software development enablement roles.
- End-to-end ownership experience with CI/CD platforms, including caching, architecture, and developer self-service.
- Experience using AI tools such as Claude and Cursor for coding, troubleshooting, and reasoning, with sound judgment about where not to use them.
- Familiarity with Node/TypeScript, Python, Terraform, Kubernetes, and Helm, including making code changes and developing automation.
- Practical observability experience with logs, metrics, tracing, monitoring, alerting, incident management processes, and related tooling.
- Experience working effectively in fully remote teams.
- Bonus experience with harness engineering for autonomous-agent platforms, production-scale GCP, and telephony or SIP architectures, particularly FreeSWITCH.
Benefits
- Fully remote, distributed work arrangement with flexible calendar management.
- Company-wide offsites and smaller team gatherings.
- Technology and learning stipend for conferences, books, and courses.
- Flexible vacations, comprehensive benefits, and a physical and mental wellness stipend.
- Paid sabbatical after five years.
- Equity in the company.
Tech Stack
DatadogGitLab CI/CDGoogle Cloud PlatformGrafanaHelmKubernetesNode.jsPrometheusPythonTerraformTypeScript
Categories
DevOpsSite Reliability
About Replicant
Replicant builds a conversational AI platform for contact centers that automates customer service over voice and chat and provides conversation intelligence and QA. It sells its AI agents and analytics as a SaaS offering to enterprises aiming to resolve calls and deflect tickets. Founded in 2017 and headquartered in San Francisco, the company is privately held and last raised a Series B in 2022.