Staff Software Engineer, Observability

TL;DR

Staff Software Engineer (Observability): Evolving the observability platform, including distributed logging, metrics, and tracing infrastructure with an accent on building AI-native capabilities to automatically detect anomalies and accelerate root cause analysis. Focus on creating powerful developer experiences through dashboards, notebooks, and interactive debugging tools.

Location: hirify.global has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). When approved to work from a location other than a hirify.global office, a secure, reliable, and consistent internet connection is required.

Salary: $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & New York.

Company

hirify.global is a modern, online people platform that helps small businesses take care of their teams by offering full-service payroll, health insurance, 401(k)s, expert HR, and team management tools.

What you will do

• Shape engineering organization standards around observability.
• Own and evolve the observability platform, including distributed logging, metrics, and tracing infrastructure.
• Build AI-native capabilities to automatically detect anomalies, diagnose failures, and accelerate root cause analysis.
• Create powerful developer experiences through dashboards, notebooks, and interactive debugging tools.
• Drive reliability automation with intelligent alerting, diagnostics, and incident response systems.
• Partner across engineering teams to embed observability and reliability best practices and mentor engineers to influence reliability culture.

Requirements

• Strategic systems thinker with experience operating large scale distributed systems in production, especially logging platforms or time series databases.
• Strong fundamentals in systems, networking, and cloud infrastructure such as Kubernetes and AWS.
• Product mindset or full stack instincts and excited to build real tools engineers love to use.
• Strong communicator who can align technical and non technical stakeholders.
• Have 8+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure.
• Experience implementing or operating observability platforms such as Datadog, Sentry, Splunk, or similar.
• Have strong SWE coding proficiency in at least one of Ruby, Python, or TypeScript.

Nice to have

• Cloud infrastructure experience (AWS preferred).
• Infrastructure-as-Code, such as Terraform or Crossplane.
• Container orchestration, such as Kubernetes.
• Linux systems knowledge and shell proficiency.
• Experience designing highly available and scalable systems.
• Experience acting as an internal consultant or trusted advisor.

Culture & Benefits

• Committed to building a collaborative and inclusive workplace, both physically and virtually.
• Offer a workplace that represents and celebrates the customers served.
• Proud to be an equal opportunity employer.