Staff Platform & Reliability Engineer at Interface AI · LumiJobs

Responsibilities

You own how the platform ships and how it stays up — the reliability and security backbone behind every conversation on interface.ai.
Our customers are banks and credit unions, and the bar for trust is high: real money, real regulators, and the uptime our customers count on. This role holds the platform to the enterprise-grade, 99.99% reliability we're known for and sets the engineering practices that keep it there as we scale. You'll define the SLOs, own the deploy path, run incidents when they happen, and build the platform so a small, senior team working with AI tooling can operate it with confidence — and you'll set the reliability and security bar the rest of the org builds against.
This is a hands-on, senior-most IC seat. What we mean by senior isn't tenure — it's judgment: you've run production systems people depend on, you think in failure modes and containment, and AI tooling is already part of how you work every day.
Reliability & SLOs — define customer-facing SLIs and SLOs across product surfaces, run an error-budget program that governs release decisions, and hold the platform to its reliability bar.
Resilience & disaster recovery — own the DR strategy: regional failover, written RTO/RPO per tier, resilience against third-party dependency failure, and recovery you've actually tested rather than just planned.
Deploy & delivery — a GitOps deploy path with progressive delivery, automated analysis, and one-click rollback for every service, plus drift detection and a full change audit trail.
Cloud & infrastructure-as-code — the AWS foundation, fully managed as code; the Kubernetes platform and service mesh; capacity, cost, and scale.
Incident management — end to end: paging and severity policy, an incident-commander rotation, status-page automation, blameless post-mortems with tracked actions, and SLA reporting to customers.
Observability — metrics, logging, and distributed tracing across services; dashboards and alerts as code; burn-rate alerting that pages on what actually matters.
AI-native operations — build the automation and guardrails that let a small, senior team operate the platform with AI in the loop: runbooks encoded for safe automation, self-healing for routine work, and golden-path templates that ship new services with SLOs, alerts, secrets, and policy built in.
Security & Compliance
You own the infrastructure's security posture — including the parts unique to running an AI platform in regulated financial services.

Qualification

A senior-mostDeep production Kubernetes on AWSSecurity as daily practiceBS/BA in Computer Science requiredReal-time voice or telephony systemsRegulated-industry background (fintechCloud cost engineeringWhat This Role Is — And Isn'tThis is a hands-on

Required

A senior-most, hands-on IC who has run production systems with real uptime commitments — and carried the pager for them.
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 — and you've produced evidence that satisfied auditors (SOC 2, ISO 27001, PCI, or FFIEC-style exams).
Extreme AI fluency — you use frontier AI tools (Claude Code, Cursor) daily and have clear opinions about the boundaries agents should operate within.
Strong programming in TypeScript and/or Python, plus Bash — and writing clear enough that a regulator could follow your post-mortem.
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.

Preferred

Real-time voice or telephony systems, or other latency-critical streaming workloads.
Operating streaming and analytical data platforms and durable workflow engines at scale.
Chaos engineering and running resilience exercises against live environments.
Regulated-industry background (fintech, banking, healthcare), including vendor-risk management.
Threat modeling for LLM and agentic applications (e.g., OWASP LLM Top 10) and defending tool and agent integrations.
Cloud cost engineering, including compute-fleet optimization and LLM spend attribution.
What This Role Is — And Isn't
This is a hands-on, senior-most IC seat — not a management track, and not a hands-off "architect" role. You'll be measured by what you ship, what stays up, and the reliability and security bar you set for the engineers around you. If you want the title without owning the pager, this isn't it.

Staff Platform & Reliability Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Interface AI

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