Senior Site Reliability Engineer (SRE)

Finite State is a fast-growing series-B company focused on securing the connected world by providing transparency for connected devices and supply chains. They are seeking a Senior Site Reliability Engineer (SRE) to define and drive observability and reliability strategies within an AI-first development organization, ensuring operational excellence and infrastructure automation.

Responsibilities:

• Leverage AI tools and Agentic processes to drive observability, quality, responsiveness, and operational clarity
• Design modern telemetry pipelines (metrics, logs, traces, events) for distributed systems and AI-driven workloads
• Define and implement a comprehensive observability framework across applications and infrastructure
• Establish and operationalize meaningful SLIs, SLOs, and SLAs aligned with business objectives
• Lead the adoption and optimization of observability tooling including Honeycomb, Grafana, and related telemetry platforms
• Drive best practices in error budgeting, alert design, and production health monitoring
• Define and evolve incident management processes, including:
• On-call structures and escalation models
• Postmortems and blameless retrospectives
• Runbooks and operational playbooks
• Improve system reliability, performance, scalability, and cost efficiency
• Establish operational KPIs and reliability dashboards for engineering and leadership visibility
• Lead reliability reviews for new architecture and product initiatives
• Architect and implement scalable cloud infrastructure primarily within AWS
• Work closely with modern application platforms such as Vercel and Supabase
• Implement and improve Infrastructure-as-Code practices
• Leverage AI-assisted tooling to accelerate infrastructure design, validation, and automation
• Ensure production-grade security, compliance, and resilience standards
• Champion the use of AI tools to:
• Accelerate infrastructure provisioning
• Improve operational workflows
• Enhance observability signal quality
• Automate incident response and remediation
• Partner with AI-focused product teams to ensure observability supports model performance, experimentation, and reliability
• Serve as a senior technical authority for reliability and infrastructure decisions
• Mentor engineers on production best practices
• Influence architectural decisions to improve system resilience and maintainability
• Drive a culture of reliability, accountability, and continuous improvement

Requirements:

• 10+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or Production Engineering
• Proven experience defining and implementing SLOs, SLAs, SLIs, and error budget frameworks at scale
• Deep experience building and managing on-call rotations and incident management processes
• Strong background in distributed systems and cloud-native architectures
• Hands-on experience with Honeycomb
• Hands-on experience with Grafana
• Hands-on experience with AWS
• Hands-on experience with Vercel
• Hands-on experience with Supabase
• Strong experience with observability instrumentation and telemetry design
• Infrastructure-as-Code experience (e.g., Terraform, Pulumi, or similar)
• Experience designing resilient CI/CD pipelines
• Deep understanding of high-availability, scalability, and performance engineering principles
• Demonstrated experience leveraging AI tools (Cursor, Claude, Codex, etc.) in development or infrastructure workflows
• Experience using AI-assisted tooling to generate, validate, or optimize infrastructure configurations
• Strong interest in building AI-native operational practices
• Ability to operate as both strategic architect and hands-on implementer
• Strong written and verbal communication skills
• Experience influencing cross-functional teams
• Comfort working in fast-paced, high-growth environments
• Experience supporting AI/ML workloads in production
• Experience building internal developer platforms (IDP)
• Experience with cost observability and FinOps practices
• Experience scaling observability in high-growth SaaS environments