Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and a generalist senior backend role drive high applicant competition.
Requires financial-industry compliance experience and regulated-environment expertise, limiting cross-industry transferability.
Explicit 8+ years, mandatory financial compliance experience, and many required technologies enforce strict filtering.
Design and develop scalable, fault-tolerant cloud-native microservices and APIs supporting rule-based and ML detection pipelines at enterprise scale.
Build and operationalize streaming and batch data pipelines, ensuring immutability, lineage, traceability, and compliance auditing for alerts and workflows.
Lead multi-team adoption of enterprise AI-assisted engineering tools, set measurable delivery and quality expectations, and build CI/CD pipelines with observability to reduce production issues.
8+ years in building scalable, enterprise-grade cloud-native products with 2+ years in financial industry compliance domain.
Expert in Java/Kotlin and Python programming, experienced with building headless APIs, microservices, and streaming architectures using Spark and/or Flink.
Hands-on experience with AWS (EC2, ECS, EKS, EMR, S3), Elastic/OpenSearch, Kafka, PostgreSQL, CI/CD tools (ArgoCD, Helm, Terraform, Jenkins, GitHub Actions), and ML/LLM model production integration.
Experience leading multi-team adoption of AI-assisted development tools, with knowledge of responsible AI use, security, monitoring tools (Prometheus, Grafana, OpenTelemetry), and TDD methodology.
Senior engineer with strong leadership in technical mentorship and cross-team delivery coordination in complex regulated environments, especially in financial compliance.
Deep expertise in cloud-native scalable backend architectures combining ML operationalization, data streaming, and compliance workflows.
Strategic thinker able to set engineering process standards, integrate AI-assisted tools securely, and measure/improve operational SLIs, SLOs, and quality metrics.