Role Overview
- Resilient Architecture: Design highly available, fault-tolerant systems with redundancy, failure isolation, automated recovery, and disaster recovery capabilities.
- Cloud Infrastructure: Architect and implement Kubernetes-based environments using Terraform and infrastructure as code.
- Cell-Based Design: Establish independent deployment and failure boundaries that limit the impact of outages and support scalable operations.
- Observability: Build comprehensive, real-time monitoring across infrastructure, applications, transactions, data pipelines, latency, errors, and system health.
- Engineering Delivery: Work with backend and data engineers to establish deployment standards, performance targets, operational controls, and secure production environments.
- Architectural decisions: across infrastructure, backend services, data engineering, and ML.
- Team coordination: Conduct technical reviews, resolve blockers, and remain hands-on with engineering work.
- Proven experience architecting and operating highly available production systems.
- Advanced hands-on experience with Kubernetes and Terraform.
- Experience implementing cell-based, fault-isolated, or similarly resilient distributed architectures.
- Strong understanding of cloud networking, load balancing, autoscaling, service reliability, and disaster recovery.
- Experience building observability platforms with metrics, logs, distributed tracing, dashboards, and alerting.
- Experience with CI/CD, container security, infrastructure automation, and production incident management.
- Experience leading small, cross-functional engineering teams, coordinating architecture, technical decisions, and end-to-end delivery across infrastructure, backend, and data engineering.
- Customer-Facing Delivery Leadership: Proven ability to serve as the primary technical lead for client engagements, managing requirements, milestones, technical communications, and delivery accountability with minimal oversight.
- Experience with Microsoft Azure.
- Experience building low-latency, transaction-intensive platforms.
- Experience in healthcare, financial services, or other regulated environments.
- Familiarity with HIPAA-related security and data isolation requirements.
What We Offer
Our SCOUT Values
Skills Required
- Proven experience architecting and operating highly available production systems
- Advanced hands-on experience with Kubernetes and Terraform
- Experience implementing cell-based, fault-isolated, or similarly resilient distributed architectures
- Strong understanding of cloud networking, load balancing, autoscaling, service reliability, and disaster recovery
- Experience building observability platforms with metrics, logs, distributed tracing, dashboards, and alerting
- Experience with CI/CD, container security, infrastructure automation, and production incident management
- Experience leading small, cross-functional engineering teams across infrastructure, backend, and data engineering
- Ability to serve as the primary technical lead for client engagements, managing requirements, milestones, technical communications, and delivery accountability
- Experience with Microsoft Azure
- Experience building low-latency, transaction-intensive platforms
- Experience in healthcare, financial services, or other regulated environments
- Familiarity with HIPAA-related security and data isolation requirements
What We Do
We turn business problems into governed applications, agents, and targeted software. Our forward-deployed pods combine senior operators and engineers. Each pod embeds with client teams, learns how work happens, and ships production systems within weeks. Chiri supports AI adoption, AI optimization, and AI software engineering. We assess workflows, design operating models, and deploy digital workers into existing tools. We also audit scattered AI systems, add governance, consolidate systems, and measure return on investment. Chiri Brain provides the shared foundation for every deployment. Its ontology preserves company knowledge and operating context. Sherpa connects current applications and provides broad AI model access. Glacier applies security, permissions, validation, and audit controls. Client data remains client-owned. Each Statement of Work defines the custom deliverables and related terms. Chiri supports work across go-to-market, engineering, finance, and people operations. Our systems work inside tools such as Slack, HubSpot, Gmail, Teams, Salesforce, Jira, and Zendesk. We build from a first production application through enterprise scale. Chiri Brain remains after the pod steps back. This model gives companies lasting AI capability without requiring a separate internal AI company.
Why Work With Us
We value curiosity, ownership, speed, and people who love solving complex problems with simple solutions. If you’re excited about building a meaningful company, working with highly talented people, and making a real impact from day one, we’d love to meet you.
