Staff Site Reliability Engineer (AI)

Location: Mountain View, US; hybrid position requiring in-office work 2 days a week

Salary: $252,000–$308,000 base salary annually, plus equity and benefits

Company

hirify.global builds earned wage access products that provide real-time financial flexibility, enabling members to access, spend, save, and grow their hirify.globalgs.

What you will do

• Define reliability standards across critical services, including SLIs, SLOs, error budgets, observability, production readiness, incident response, and resilience patterns.
• Build AI-assisted workflows for alert correlation, incident triage, root-cause exploration, runbook retrieval, postmortem drafting, and corrective-action tracking.
• Lead high-severity incidents as Incident Commander and improve detection, response quality, communication, and recurrence prevention.
• Develop tools that reduce on-call toil by gathering context from Datadog, CloudWatch, incident.io, Slack, runbooks, deployment history, and service metadata.
• Guide resilient service architecture across AWS, including graceful degradation, failure isolation, capacity planning, and operational safety for EKS, Kafka, DynamoDB, RDS, and SQS.
• Mentor engineers and influence product engineering, infrastructure, security, and leadership teams through design reviews, incident reviews, documentation, and reusable reliability practices.

Requirements

• 7+ years of experience in SRE, software engineering, or infrastructure engineering with increasing scope and cross-organizational influence.
• Demonstrated success improving reliability and operational excellence at scale using KPIs such as MTTR, MTTD, alert quality, incident recurrence, SLO attainment, on-call health, and corrective-action completion.
• Experience applying AI or LLMs to engineering and operational workflows, plus practical use of AI-assisted development tools such as Cursor, Claude Code, Copilot, or ChatGPT.
• Strong expertise in SLIs, SLOs, error budgets, incident command, blameless postmortems, and recurrence prevention for distributed systems.
• Strong software engineering skills in Python, Go, or similar languages, with experience building automation and tools.
• Deep experience with observability, infrastructure as code, Terraform, Kubernetes, AWS, and safe reversible deployments.

Nice to have

• Experience in fintech, regulated environments, SOC 2, PCI, FinOps, or high-scale cost and performance tradeoffs.

Culture & Benefits

• Hybrid work arrangement based in the Mountain View headquarters.
• Equity and employee benefits included with the base salary.
• Inclusive workplace focused on diversity, belonging, and representation of the community served.
• AI-assisted operational workflows are treated as a standard engineering practice while retaining human accountability and judgment.