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Senior principal engineering role in a metro bank tech center yields moderate candidate competition.
Core backend, GCP, and data-product skills transfer broadly, though surveillance domain experience increases fit.
Explicit 16–20 years requirement and specific GCP, Java, Kubernetes expertise makes shortlisting highly strict.
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Design and develop backend services and microservice-based architectures using Java (Spring Boot) and Python for Markets Surveillance platforms.
Build scalable APIs, data pipelines, and data products leveraging GCP and BigQuery to support surveillance analytics and alerting.
Lead technical design, influence architecture, mentor engineers, and promote engineering best practices including automation, CI/CD, and cloud-native delivery.
16-20 years of relevant work experience.
Proficient in Java and Python with hands-on experience in microservice architectures.
Experience with GCP cloud services, including BigQuery, Docker, Kubernetes, and modern CI/CD pipelines.
Knowledge of React or Angular frontend frameworks and experience working in Agile teams.
Experienced in building large-scale, data-driven and cloud-native surveillance or market monitoring platforms.
Technical leadership capabilities with experience mentoring engineers and leading architectural discussions.
Familiarity with batch and real-time data processing patterns and modern observability and secure API design is a plus.