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Key skills for this role
Architect and oversee scalable, secure, cloud-native systems (AWS preferred)
Guide teams on best practices in: Microservices architecture Data pipelines (batch and streaming) API design and integration Event-driven systems
Microservices architecture
Data pipelines (batch and streaming)
API design and integration
Event-driven systems
Champion engineering excellence: Code quality, testing strategies, CI/CD pipelines Observability and production
Code quality, testing strategies, CI/CD pipelines
Observability and production
Improve adoption of AI/GenAI solutions to improve engineering efficiency and product capabilities
Lead development of large-scale data platforms using tools like Spark, Glue, and data lakes
Ensure real-time and batch data processing pipelines
Collaborate with data scientists to productionize ML models
Ensure governance, security, and compliance (especially in regulated domains like KYC/KYB, AML)
Skip the repetitive application forms
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Global leader in information services and data analytics.
Visit company websiteJobs and hiring trendsFull-time
Senior · 10+ years experience
Hybrid
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