Senior Site Reliability Engineer (AI)

Location: Fully hirify.global, with Europe prioritised for diversity and timezone requirements

Company

hirify.global builds an HR platform with automation and AI capabilities for a globally distributed workforce.

What you will do

• Lead discovery and delivery of complex reliability and infrastructure solutions with a high degree of autonomy.
• Contribute to platform architecture, tooling, roadmap decisions, and technical initiatives.
• Define and operate SLOs, SLIs, error budgets, alerting, observability, and the platform's operational strategy.
• Identify systemic issues and create reusable fixes, runbooks, and solutions for cross-team requests.
• Build AI-native workflows, reusable prompts, tooling, agent-ready systems, and secure-by-default engineering guardrails.
• Mentor engineers, participate in hiring and RFC discussions, collaborate with Security, and join incident response and on-call rotations.

Requirements

• Professional experience in SRE, DevOps, or Platform Engineering.
• Hands-on experience operating and scaling production Kubernetes clusters, Docker, and related tooling.
• Experience managing AWS or similar cloud infrastructure and strong Terraform infrastructure-as-code skills.
• Knowledge of SLOs, SLIs, error budgets, alerting strategies, OpenTelemetry, Grafana, Prometheus, and observability practices.
• Experience with CI/CD and deployment automation, plus proficiency in Golang and Bash or scripting.
• Practical use of AI in infrastructure, operations, or development, including agentic workflows with observable results.

Nice to have

• Experience with Elixir, Node, Python, or another backend programming language.
• Experience running and configuring Linux systems outside cloud environments.
• Defensive and offensive security knowledge.

Culture & Benefits

• Fully hirify.global, async-first work with flexible working hours.
• Work-from-anywhere benefit and flexible paid time off.
• Sixteen weeks of paid parental leave and mental health support services.
• Budgets for coworking spaces, learning, wellness, home office equipment, and IT equipment.
• Stock options and a focus on fair, location-adjusted compensation.
• Inclusive environment with employee resource groups and interview accommodations when needed.

Hiring process

• Recruiter interview followed by a hiring manager interview.
• Async infrastructure exercise requiring approximately 2–4 hours, followed by a team interview and Bar Raiser interview.
• Executive interview, offer, and background check.