Senior Site Reliability Engineer (AI)

Location: Hybrid in Boston, MA or San Francisco, CA

Salary: $130,000–$190,000 per year plus equity

Company

hirify.global is an AI ROI company providing a financial control plane that connects AI and cloud spending to business outcomes in real time.

What you will do

• Own reliability for the real-time Kafka ingestion path, including cross-team SLOs, failure modes, and architectural improvements.
• Define critical-path release standards, monitor error budgets, and build observability so failures are detected before customers are affected.
• Develop production Python tooling such as load generators, fault-injection harnesses, SLO libraries, deployment safety checks, internal services, and automation.
• Design and maintain CloudFormation and SAM modules for reliable, cost-efficient serverless infrastructure.
• Automate deployments, scaling, backups, limit changes, and infrastructure operations without relying on cloud consoles.
• Partner with product engineering teams to design resilient services, improve deployment pipelines, and drive adoption of reliability practices across 40+ engineers.

Requirements

• Strong production Python experience, including systems that are owned, tested, and maintained at scale.
• Experience operating asynchronous, event-driven distributed systems and reasoning about back-pressure, consumer lag, replay, poison messages, and partial failure.
• Typically 5+ years building and operating distributed systems in AWS, with ownership of reliability outcomes.
• Hands-on Infrastructure as Code experience with CloudFormation and SAM, or equivalent depth in Terraform or Pulumi.
• Experience instrumenting production systems with monitoring tools such as Sumo Logic, Datadog, Prometheus, or Splunk, plus production debugging under pressure.
• Ability to explain complex technical issues clearly, document systems thoroughly, and influence teams without direct authority.

Nice to have

• Experience building chaos engineering or load-testing practices.
• Internal developer portal experience with Cortex or Backstage.
• Test automation, ephemeral test environments, or GitHub Actions at scale.
• Experience building LLM-backed tooling used by engineers.

Culture & Benefits

• Collaborative, fast-moving environment with emphasis on ownership, creativity, curiosity, and reliable system design.
• Light on-call responsibilities through a weekly shared-infrastructure rotation; feature teams support their own services.
• Opportunity to work on serverless infrastructure processing billions of events daily across AWS, Azure, and GCP.
• Work focused on measurable customer impact and complex cloud and AI cost challenges.
• Equity included in the compensation package.