Senior Platform Reliability Engineer – AI-Driven FinServ

interface.ai; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

100% paid health, dental & vision

401(k) & financial wellness

Daily meals on us

Commuter benefit

Discretionary PTO + parental leave

Claude Enterprise + frontier AI tools

Job summary

interface.ai is seeking a hands-on, senior IC to own the reliability and security backbone of our AI-driven platform for financial services. You will define SLOs, lead incident response, and implement GitOps-based delivery across a multi-service AWS/Kubernetes stack.

You will drive observability and AI-native operations, ensure disaster recovery readiness, and maintain security posture for a trusted production environment used by banks and credit unions.

Qualifications

• BS/BA in Computer Science required; MS or PhD a strong plus. San Francisco-based and committed to working onsite; on-call participation. H1B transfers welcome.
• Deep production Kubernetes on AWS, including service mesh, with GitOps-based delivery across many services.
• Infrastructure-as-code at multi-account scale, including taking over and reshaping a large existing estate.
• You've built an SLO and error-budget practice that actually changed release decisions, with alerting tuned to burn rate rather than noise.
• You've delivered multi-region or DR capability with defined RTO/RPO and proven it with real failover tests.
• Security as daily practice, not a checklist — least-privilege IAM, secrets management, admission and network policy, software supply-chain controls.

Responsibilities

• Reliability & SLOs — define customer-facing SLIs and SLOs across product surfaces, run an error-budget program that governs release decisions.
• Resilience & disaster recovery — own the DR strategy: regional failover, written RTO/RPO per tier, resilience against third-party dependency failure.
• Deploy & delivery — a GitOps deploy path with progressive delivery, automated analysis, and one-click rollback for every service.
• Cloud & infrastructure-as-code — AWS foundation, Kubernetes platform and service mesh; capacity, cost, and scale.
• Incident management — end to end: paging and severity policy, incident-commander rotation, status-page automation.
• Observability — metrics, logging, and distributed tracing across services; dashboards and alerts as code.
• AI-native operations — build automation and guardrails for safe AI-enabled deployment and self-healing templates.

Skills

Production reliability

Kubernetes on AWS

GitOps

SLOs & error budgets

Incident management

Observability & monitoring

Security best practices

TypeScript/Python/Bash

Education

BS/BA in Computer Science

Tools

Kubernetes

AWS

GitOps tooling

Job description

interface.ai is seeking a hands-on, senior IC to own the reliability and security backbone of our AI-driven platform for financial services. You will define SLOs, lead incident response, and implement GitOps-based delivery across a multi-service AWS/Kubernetes stack.

You will drive observability and AI-native operations, ensure disaster recovery readiness, and maintain security posture for a trusted production environment used by banks and credit unions.