Top Tech Jobs & Startup Jobs

Designs, develops, and troubleshoots secure, high-quality mainframe and Java-based payment systems. Produces architecture artifacts, analyzes large datasets for improvements, ensures operational stability, and contributes to engineering communities and agile practices.

Drive market, competitor, and customer research to assess opportunities; design and launch offers, campaigns, and partnerships using test-and-learn methods; execute cross-channel marketing across digital, branch, and advisor channels; evaluate campaign effectiveness and recommend optimizations; work cross-functionally with Insights, Product, Decision Science, and Finance.

Lead resolution of high-priority incidents, drive root cause analysis and preventative fixes, maintain runbooks and monitoring, mentor support engineers, collaborate with engineering/product for automation and improvements, track support metrics, and communicate status and risks to stakeholders to maintain stable, performant banking platforms.

Lead design and delivery of scalable Java microservices and APIs, architect cloud-native solutions on AWS, build Databricks/Spark data pipelines, and drive CI/CD, testing, observability, and responsible AI-assisted engineering practices while mentoring engineers and collaborating with product and data partners.

Lead design, validation, and implementation of psychometric hiring assessments for tech/data/product roles. Manage assessment projects, vendor collaboration, analytics, compliance with EEOC/UGESP/OFCCP, automation opportunities, and documentation to meet OKRs and improve hiring outcomes.

Lead architecture and development of production-grade agentic AI and multi-agent systems for reliability engineering. Design autonomous agents, manage AI infrastructure and deployment, ensure observability/security/guardrails, automate remediation, evaluate vendors and models, and produce secure, high-quality production code to improve system reliability and engineering productivity.

Lead technology risk and controls for AI and broader tech environments: identify, quantify, and mitigate compliance and operational risks; provide SME guidance to technologists; use enterprise AI to synthesize evidence and reporting; govern controls, monitor effectiveness, recommend enhancements, and influence executive decision-making.

Lead technology risk identification, assessment, and control evaluation within CORE. Support Technology Control Managers, maintain data quality and reporting, implement controls with cross-functional teams, and validate AI-assisted risk evidence and remediation recommendations to strengthen governance, compliance, and operational risk posture.

Lead independent oversight of the firm's capital risk across North America: set capital risk assessment, limits, governance; perform deep-dive analyses; support stress testing and capital planning; present insights to senior management; oversee credit risk transfer review; engage regulators and internal partners; manage and develop a high-performing team to ensure capital resiliency and regulatory compliance.

Lead technology risk identification, assessment, and control evaluation within CORE. Support Technology Control Managers, ensure data quality and program hygiene, implement controls with stakeholders, and validate AI-assisted risk evidence and remediation recommendations to maintain compliance with firm standards and regulatory requirements.