Top Tech Jobs & Startup Jobs

Execute risk-based internal audits across lines of business: plan and perform testing, evaluate control design and operating effectiveness, report findings to management, recommend improvements, and use data analytics and automation to enhance audit efficiency.

Lead infrastructure engineering across cloud, on‑prem, and SaaS environments; set strategy, governance, and AI-assisted workflow standards; manage large cross‑functional teams, budgets, and SLAs; drive risk, security, compliance, automation, and scalable infrastructure solutions using Agile practices.

Lead day-to-day production support and operational stability for document/letter processing platforms. Manage incident response, controls execution, release readiness, metrics, root-cause remediation, stakeholder communications, and team development to improve reliability and meet compliance and service objectives.

Lead design, build, and operate scalable, secure cloud platform capabilities. Develop Java/Spring Boot services, implement IaC with Terraform, run Kubernetes in HA, deliver CI/CD, apply SRE practices, use observability/APM tooling, and prototype AI/agentic workflows. Mentor engineers and enforce reliability, security, and compliance.

Lead technology operational risk and cybersecurity assessments for CIB Technology. Conduct independent testing and monitoring, identify control gaps, manage risks under the Operational Risk Management Framework, develop KPIs/KRIs, advise 2LoD teams, and drive automated, data-driven testing and remediation across stakeholders.

Design, build, and operate reliable, scalable AI/ML platform infrastructure. Develop observability, resilience, security, and automation tooling, own NFRs, participate in on-call rotations, troubleshoot production issues, and collaborate cross-functionally to support large-scale AI deployments.

Lead delivery of complex data-focused technology programs (analytics, reference data, reporting) by developing plans, mitigating risks, managing resources/budgets, coordinating cross-functional teams, adopting agile and AI-assisted practices, and ensuring alignment with business goals.

Lead risk and control design across operations: assess risks, design and validate controls, drive process re-engineering and automation, use data analytics to monitor controls, escalate breaches, and report to senior management.

Lead and conduct high-impact AI research across multi-agent systems, foundation models, continual learning, multimodal AI, synthetic data, and formal methods; translate research into production, collaborate with engineers and stakeholders, publish findings, and drive reusable assets and business solutions.

Lead and mentor an analytics team to modernize reporting, deliver automated data solutions, and improve business decisions. Manage a high-complexity reporting portfolio, translate stakeholder needs into analytical designs, champion data quality and documentation, and implement scalable workflows and visualization to drive business impact.