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Key skills for this role
• Lead design and delivery of complex cloud services and cross-service workflows
• Define architecture for services, data flows, and system interactions across teams
• Make key decisions on: data modeling for AI use cases service decomposition scaling strategies and trade-offs
• data modeling for AI use cases
• service decomposition
• scaling strategies and trade-offs
• Establish and enforce best practices for: testing strategy CI/CD observability and operational readiness
• testing strategy
• CI/CD
• observability and operational readiness
• Drive service reliability, performance, and cost optimization at scale
• Lead design reviews and mentor senior engineers
• Own resolution of complex production issues involving multiple systems
• Influence how AI is integrated into product and platform design
• Collaborate across teams to align architecture and delivery
• University degree in computer science, mathematics, IT or relevant professional experience with qualified technical training
• 10 to 14 years of relevant experience
• Strong fundamentals in distributed systems and cloud-native architecture
• Proficiency in at least one modern programming language (Go, Java, C++, Python, Rust, or similar) with experience building production-quality services
• Experience building and operating production services
• Understanding of scalability, reliability, and security
• Experience with automation, CI/CD, and service ownership
• Ability to use AI tools effectively while applying engineering judgment
• Working under minimal supervision
• Takes responsibility proactively
Lead design and delivery of complex cloud services and cross-service workflows
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Fort Lauderdale, USA
Define architecture for services, data flows, and system interactions across teams
Make key decisions on: data modeling for AI use cases service decomposition scaling strategies and trade-offs
data modeling for AI use cases
service decomposition
scaling strategies and trade-offs
Establish and enforce best practices for: testing strategy CI/CD observability and operational readiness
testing strategy
CI/CD
observability and operational readiness
Drive service reliability, performance, and cost optimization at scale
Lead design reviews and mentor senior engineers
Own resolution of complex production issues involving multiple systems
Influence how AI is integrated into product and platform design
Collaborate across teams to align architecture and delivery
University degree in computer science, mathematics, IT or relevant professional experience with qualified technical training
10 to 14 years of relevant experience
Strong fundamentals in distributed systems and cloud-native architecture
Proficiency in at least one modern programming language (Go, Java, C++, Python, Rust, or similar) with experience building production-quality services
Experience building and operating production services
Understanding of scalability, reliability, and security
Experience with automation, CI/CD, and service ownership
Ability to use AI tools effectively while applying engineering judgment
Working under minimal supervision
Takes responsibility proactively
Privately held endpoint OS software company serving enterprises using SaaS, DaaS, VDI, and secure browsing.
Visit company websiteJobs and hiring trendsFull-time
Senior · 10+ years experience
Hybrid
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