TL;DR

Principal Sre Engineer (DevOps): Architecting, building, and scaling next-generation infrastructure and AI-powered capabilities with an accent on cloud reliability, automation, and security. Focus on integrating AI systems into production, improving observability, and mentoring engineering teams.

Location: Hybrid with 2–3 days per week onsite in Singapore or Australia; fully remote for other locations with up to 1 month remote work worldwide annually

Company

%hirify_global% is a fast-growing startup providing proprietary software and AI solutions to simplify back-office operations for micro SMEs across Singapore, Hong Kong, Australia, and the UK.

What you will do

Architect and scale secure, reliable, and scalable cloud infrastructure supporting modern applications and AI workloads
Lead platform enhancements including CI/CD automation, infrastructure provisioning, and operational excellence
Integrate AI systems into production environments with monitoring and guardrails for performance and cost
Improve incident response, observability, and security compliance across platforms
Mentor engineers and lead architecture reviews to elevate engineering quality and DevOps maturity

Requirements

8+ years experience in Site Reliability Engineering with principal-level expertise
5+ years hands-on multi-cloud experience (AWS, GCP, Azure) including networking, compute, storage, and security
Expertise in container orchestration (Kubernetes, EKS, ECS) and Infrastructure as Code (Terraform, Pulumi, CloudFormation)
Experience supporting AI/ML workloads and integrating AI infrastructure
Excellent communication skills and ability to mentor and lead technical teams
Familiarity with Node.js, NestJS, and Python is highly desirable

Culture & Benefits

Culture of humility, kindness, and inclusivity with a startup mindset
Flexible hybrid work with remote options and family-friendly scheduling
Competitive salaries, generous paid time off, and employee share ownership plan
Opportunities for personal growth and learning, including AI excellence center
Certified B Corp committed to sustainability and social responsibility

Hiring process

Screening call with Talent Acquisition team
2-3 hour take-home SRE skills assessment
Technical interview with Delivery Lead and/or Head of Engineering
Final interview with CTO
Offer followed by background checks including education, criminal history, and credit