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Tier-1 brand, metro location, generalist senior backend role with broad cloud and streaming needs.
Requires financial-industry compliance experience and responsible-AI controls, limiting cross-industry transferability.
Explicit 8+ years, financial compliance experience, and many mandatory tech-stack and leadership requirements.
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Design and develop scalable, fault-tolerant microservices and APIs powering AI-driven detection pipelines and compliance workflows for enterprise communication monitoring.
Build and operate streaming and batch data pipelines handling billions of communication events with full audit traceability and integration points.
Lead adoption and scaling of AI-assisted engineering practices and automation tools across teams to improve delivery speed, quality, and operational resilience.
8+ years in building scalable, cloud-native backend products including 2+ years in financial compliance domain.
Expert-level programming in Java/Kotlin and Python with strong API development experience.
Experience with AWS cloud services (EC2, ECS, EKS, EMR, S3), streaming technologies (Spark or Flink), Kafka, OpenSearch, PostgreSQL, and operationalization of ML/LLM models.
Experience leading engineering teams, implementing CI/CD pipelines, observability tools (Prometheus, Grafana), Test-Driven Development, and enterprise AI-assisted development tools usage and governance.
Senior engineer comfortable leading multi-team initiatives integrating AI and ML capabilities into compliance-focused cloud-native backend systems.
Experienced in engineering practices that balance delivery speed with strong operational metrics (SLI/SLO/SLA) and security/governance around sensitive data.
Capable of collaborating effectively across product, data science, architecture, and compliance SMEs to drive actionable detection improvements and automation adoption.