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Tier-1 brand, mid-level generalist title, metro location, and broad cloud/data skillset increase competition.
Requirement for financial-services domain knowledge increases background sensitivity despite transferable data skills.
Explicit 3+ years plus mandatory data engineering and cloud expertise creates highly strict shortlisting.
Design, develop, and maintain secure, scalable software solutions across multiple technical domains supporting financial services business goals.
Serve as subject matter expert in AWS, Terraform, and cloud-native technologies while leading evaluation of technologies and vendor offerings.
Leverage AI-assisted software development tools for coding, testing, and documentation with peer review and best practices integration.
3+ years of software engineering experience with formal training or certification.
Hands-on experience with AWS including system design, development, and operational stability.
Experience with enterprise-authorized AI-assisted development tools and validating AI outputs for correctness, security, and performance.
Expertise in data engineering technologies like Apache Kafka, Apache Spark, Cassandra, ETL, and knowledge of distributed systems, microservices, Kubernetes, and containers.
Technical leader with deep experience in cloud-native architectures and financial services IT systems.
Proficient in applying AI-assisted development tools responsibly, understanding security and data sensitivity implications.
Experienced in agile/CI/CD methodologies with an emphasis on application resiliency, monitoring, and performance tuning.