Remote Cloud-Native AI Detection and Response Engineer Job Singapore,Software Development

Title:
Senior Engineer, Cloud Native AI Detection and Response

Mode of Employment :
Remote

Work Timing :
Japan Time

Communication :
English & Japanese (Candidate is expected to be at least JLPT
2)

Responsibilities:

Architect enterprise grade solutions that scale from thousands to millions of requests per second
Design and implement highly scalable microservices, frameworks, and platform components
Build reusable platform libraries to accelerate development across multiple engineering teams
Develop comprehensive automated tests with emphasis on reliability, accuracy, and performance
Conduct code and design reviews with strong focus on security, testability, and scalability
Integrate services across a broad ecosystem of internal services and application programming interfaces
Drive rapid issue resolution, root cause analysis, and proactive system improvements
Collaborate across engineering teams to drive testing best practices
Mentor team members on secure coding practices, testing methodologies, and cloud native development
Deliver with speed while maintaining high standards of reliability and security

Qualifications:

Ten or more years of software development experience building enterprise grade products
Five or more years of experience developing microservices in cloud native environments
Strong computer science fundamentals including algorithms, data structures, and distributed systems
Expertise in at least one cloud native programming language such as Go, Python, or Java
Strong debugging skills with ability to troubleshoot complex distributed systems
Proven experience deploying services to at least one major cloud platform including AWS, OCI, GCP, or Azure
Experience with cloud monitoring, profiling, and optimization tools

Tools and Technologies:

Deep understanding of cloud architectures and microservices
Web services including REST, gRPC, Protocol Buffers, or similar application programming interface technologies
Data storage technologies such as Postgre

SQL, Redis, or comparable databases
Container technologies including Docker and Kubernetes or similar orchestration platforms

Bonus Qualifications:

Experience working for cybersecurity companies or security focused products
Understanding of artificial intelligence and machine learning security challenges and mitigation strategies
Experience with real time data processing systems such as Kafka, Pulsar, or Splunk
Contributions to open source libraries or frameworks
Hands on experience with Oracle Cloud Infrastructure, Google Cloud Platform, or Microsoft Azure
Experience with Kubernetes, AWS, and application programming interface gateway technologies
Experience with Microsoft Copilot ecosystem and Microsoft Agent Studio
Experience building highly scalable and performant cloud native services on AWS

#J-18808-Ljbffr