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Strong employer brand, generic mid-level title, and metro hiring increase applicant competition.
Technical skills are transferable, but financial data domain expertise increases role-specific sensitivity.
Explicit 5+ years plus mandatory Python, AWS, SQL and Pandas increases screening strictness.
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Design, build, test, and support technology solutions to enable business capabilities in an Agile environment.
Apply engineering best practices to continuously improve software deliverables and participate in problem framing and root cause analysis of operational incidents.
Maintain strong partnerships with business, IT teams, and vendor partners while responding flexibly to evolving business needs.
Undergraduate degree or college diploma in Engineering, Computer Science, or related field.
5+ years of relevant software engineering experience.
Strong hands-on expertise in Python including Pandas and API development.
Experience developing and deploying cloud-native applications on AWS and with Gen AI tools (GitHub Copilot, Claude).
Experienced in Agile and DevOps practices including CI/CD pipelines.
Skilled in handling structured and large-scale financial datasets with strong SQL proficiency.
Able to rigorously analyze complex business and technical problems and deliver high-impact solutions in a collaborative, performance-driven environment.