Backend Engineering Leader (AI)

Location: Sunnyvale, California, United States; on-site at headquarters

Salary: $233,000–$280,000 per year

Company

hirify.global develops cybersecurity products for ransomware and breach containment, including a Zero Trust Segmentation platform powered by an AI Security Graph.

What you will do

• Lead and grow backend engineering teams building scalable cloud services and AI-powered platform capabilities.
• Drive technical strategy and execution for distributed systems, platform APIs, AI-enabled services, microservices, event-driven systems, and cloud-native applications.
• Define the AI roadmap covering agentic workflows, LLM integrations, RAG architectures, and AI infrastructure.
• Partner with Product, Security, Infrastructure, and Data Science teams to deliver customer-facing platform capabilities.
• Establish practices for reliability, observability, scalability, security, and operational excellence.
• Lead planning, staffing, technical roadmaps, architectural reviews, mentoring, and delivery of highly available services across AWS, Azure, and GCP.

Requirements

• 10+ years of experience building distributed and scalable backend systems.
• 3+ years of experience leading software engineering teams and engineering leads or managers.
• Strong experience with Java, Go, Python, or equivalent backend technologies.
• Deep expertise in microservices, APIs, cloud-native architectures, Kubernetes, and containerized workloads.
• Experience building high-scale distributed systems and event-driven architectures using technologies such as Kafka.
• Practical understanding of modern AI systems, including LLMs, AI agents, RAG architectures, model serving, prompt engineering, and agent orchestration frameworks.
• Experience partnering with Product Management to define strategy and deliver customer-facing capabilities.
• Strong communication skills and the ability to influence technical direction across organizations.
• Experience operating production services with a focus on telemetry, monitoring, and reliability.

Nice to have

• Experience leading AI Platform, ML Infrastructure, or Agentic Systems teams.
• Hands-on knowledge of vector databases, inference optimization, model evaluation frameworks, and AI observability platforms such as Langfuse.
• Security or cybersecurity domain experience.
• Experience building enterprise SaaS platforms at scale.
• Familiarity with Terraform, cloud automation, and Infrastructure-as-Code.

Culture & Benefits

• Engineering culture emphasizing visionary leadership, autonomy, ownership, and innovation.
• Medical, dental, and vision coverage, plus health and dependent savings accounts.
• Life and disability programs, paid parental leave, paid time off, and paid holidays.
• Retirement savings, equity opportunities, incentive programs, and wellness benefits.
• Employment is subject to compliance with U.S. export controls for roles involving controlled software or technology.