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Tier-1 brand, generic Software Engineer title, mid-level experience, and metro location drive high competition.
Requires financial services domain knowledge plus specific data engineering stack, limiting cross-industry transfer.
Explicit 3+ years plus mandatory AWS, Kafka/Spark, and cloud/data expertise enforces strict shortlisting.
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Design, develop, and deliver secure, stable, and scalable software solutions across multiple technical areas supporting business objectives.
Serve as a subject matter expert in AWS, Terraform, and cloud-native technologies, leading evaluation of technologies and vendors to improve architectural outcomes.
Leverage enterprise-authorized AI coding assist tools to improve code quality and productivity; lead communities of practice to promote cutting-edge technology adoption.
3+ years of applied software engineering experience with formal training or certification.
Hands-on experience delivering system design, application development, testing, and operational stability within AWS.
Experience using enterprise-authorized AI-assisted development tools critically and securely within software development workflows.
Expertise in data engineering technologies (Apache Kafka, Apache Spark, Cassandra, ETL) and distributed systems including microservices, Kubernetes, and containers.
Experienced with complex cloud-native architecture and operational stability in financial services IT environments.
Able to critically evaluate and guide responsible and secure AI tool usage within engineering teams.
Skilled in agile methodologies including CI/CD, observability monitoring (e.g., Grafana, Dynatrace), and performance tuning to enhance software resiliency and security.