Top Tech Jobs & Startup Jobs

Own and deliver core cyber product vision and roadmap, translate strategy into prioritized backlog and user stories, collaborate with engineering and stakeholders, apply cloud and security expertise to design, iterate, and measure resilient multi-cloud cybersecurity features, and drive risk-reducing, data-driven improvements across scaled Agile teams.

Serve as a second-line Compliance partner for the New-to-Credit card business, advising on product development, controls, monitoring, remediation, and regulatory requirements. Perform control assessments, validations (including UDAAP), review audit and exam issues, support third-party compliance testing, analyze compliance data, and participate in governance and reporting to ensure scalable, compliant business growth.

Provide on-site technical support and advocacy for Capital One team members in Chicago. Handle service-desk intake calls, ticketing, laptop/Mac/Windows and mobile device support, cross-training, platform administration, process improvements, and act as site lead backup while collaborating with peers and escalation paths.

Lead and mentor engineering teams building distributed microservices and full-stack cloud solutions. Design and deliver scalable, secure systems using modern languages, containers, orchestration, databases, and AWS services to meet regulatory and customer needs.

Lead a team and portfolio building cloud-native, distributed microservices and full-stack systems to meet regulatory needs. Collaborate with product managers, mentor engineers, experiment with new technologies, and occasionally code or review code. Deliver robust AWS-based solutions using languages like Java, Python, Go, Scala, Node and container orchestration.

Lead and mentor a team building high-throughput, resilient distributed microservices and full-stack cloud solutions for global payment processing. Collaborate with product managers, design scalable systems, ensure observability and reliability, and occasionally code, evaluate, and modernize platforms using cloud, container orchestration, and multiple programming languages.

Lead analytics efforts by building data solutions, developing dashboards, performing analysis for business insights, and ensuring data quality, governance, lineage, and secure access. Use scripting, Snowflake, and BI tools to enable self-service and support cross-functional stakeholders.

Lead architecture and modernization of an enterprise-scale omni-channel message delivery platform. Integrate AI/LLM capabilities for real-time personalized messaging, ensure compliance and security, drive vendor strategy and automation, mentor engineering teams, and build observability and analytics to optimize delivery at scale.

Lead model risk audits across development life cycles: review design, training, evaluation, validation, and implementation of ML models. Partner cross-functionally to surface model risk issues, apply NLP and Generative AI methods, and communicate findings to stakeholders and the Audit Committee.

Design, build, deploy, and support large-scale AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Collaborate cross-functionally, optimize model performance and cost, and contribute to technical vision and roadmap for foundational AI platforms.