TL;DR
Senior Engineering Manager (AI): Leading a team to design and build scalable, distributed backend systems and frontend components for an AI-native platform with an accent on performance, reliability, and multi-tenancy at scale. Focus on driving technical excellence through distributed systems best practices, API-first design, and CI/CD while mentoring engineers.
Location: This role is based in London, UK
Company
hirify.global is building an AI-native platform called Computer, an AI teammate that unifies data, offers powerful search, reasoning, and actions through extensions for teams and customers.
What you will do
- Lead your team to design and build scalable, distributed backend systems and frontend components taking ownership of clarity and execution.
- Stay hands-on – contribute to architecture, design reviews, and implementation of critical components.
- Be accountable for customer delight, ensuring systems deliver performance, reliability, and simplicity at scale.
- Mentor and coach engineers to solve complex scalability, performance, and multi-tenancy challenges while growing technical depth and ownership.
- Drive technical excellence through distributed systems best practices, API-first design, and CI/CD to ensure high deployment velocity and reliability.
- Collaborate with stakeholders across engineering, product, sales, marketing, and customer success to incorporate customer and market needs, align priorities, and drive clarity.
Requirements
- 10–15 years software engineering experience in large-scale distributed systems.
- 5+ years leading teams delivering high-performance, reliable, multi-tenant SaaS backends with frontend components.
- Expertise in defining clean interfaces, distributed systems, databases, message buses (Kafka preferred), and modern cloud-native architectures (Kubernetes, Docker, Serverless).
- Proficiency in Go (preferred), Java, or Python.
- BS/MS in Computer Science or related field.
- English: B2 required.
Nice to have
- Deep understanding of performance tuning and optimization in high-throughput, low-latency distributed systems.
- Experience leading teams building GenAI agentic reasoning engines that leverage memory, skills, and tools for complex task completion.
Culture & Benefits
- Work on cutting-edge AI-native platform technologies with individual autonomy and purpose.
- Company culture emphasizes transparency, honesty, and doing the right thing for customers, company, and employees.
- Focused on fostering a culture of hunger, humility, honesty, and heart.
Hiring process
- Shortlisted candidates will undergo a Background Verification (BGV).
- Any offer made will be subject to successful completion of the BGV.
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