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Tier-1 brand, metro location, and a mid-level generalist SRE role increase competition.
SRE skills transfer across industries, but finance-specific security and responsible AI needs create medium bias.
Explicit 5+ years, required certifications, SRE and AI-assisted tooling experience make filters strict.
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Lead and provide technical guidance to multiple teams, contractors, and vendors to support business and technical initiatives.
Develop, review, and debug secure, high-quality production code and drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Influence product design, application functionality, and technical operations while serving as a subject matter expert and advocating firmwide SDLC frameworks, tools, and practices.
5+ years of applied software engineering experience with formal training or certification.
Advanced proficiency in one or more programming languages.
Demonstrated experience leading enterprise-authorized AI-assisted software development tools and enforcing responsible AI use, including security and data sensitivity.
Proficiency in Infrastructure and Site Reliability Engineering (SRE) techniques.
Experienced in system design, application development, testing, and operational stability within agile teams.
Skilled in integrating AI-assisted development tools responsibly, coaching senior engineers on compliance and secure usage.
Familiarity with cloud-native technologies, SRE concepts (SLO/SLI), and observability tools like Grafana and Databricks is preferred.