Top Tech Jobs & Startup Jobs

Leads infrastructure engineering for enterprise WAN modernization. Designs, deploys, configures, troubleshoots, and optimizes Cisco and Arista network environments, including routing, switching, connectivity, and data center technologies. Manages network lifecycle documentation, compliance, resiliency, security, and performance. Applies validated AI-assisted engineering practices and may automate deployments using Ansible, Terraform, Puppet, and CI/CD tools.

Leads multiple software engineering teams, guiding daily execution, engineering practices, collaboration, compliance, and delivery against business requirements. Drives responsible adoption of enterprise-authorized AI-assisted development and SDLC automation, coaches engineers on secure and compliant usage, manages stakeholder relationships, anticipates dependencies, and improves delivery quality and operational outcomes through agile, cloud-native, resilient, and secure engineering practices.

Lead complex infrastructure technology programs from planning through delivery. Develop project plans, manage resources and budgets, identify and mitigate risks, coordinate engineering, product, and business stakeholders, and align initiatives with business objectives. Apply analytical reasoning, Agile practices, and enterprise-authorized AI tools to improve program governance, planning, reporting, and risk management while validating AI-generated outputs and protecting sensitive information.

Supports digital deposit account opening product development across at-home and in-branch channels. Conducts user research, journey mapping, market analysis, and product metric evaluation. Partners with Product, Engineering, Design, Architecture, and stakeholders to define epics, features, requirements, and user stories. Manages sprint backlogs, Agile ceremonies, trade-offs, and sprint readiness while contributing to roadmap development and product optimization.

Supports sales by configuring and adapting embedded payment solutions for complex client needs. Partners with Product, Sales, Technology, and client engineering teams to define technical requirements, answer product and integration questions, analyze client and market data, develop sales training materials, identify opportunities, and accelerate solution adoption. Requires expertise in payment products, technical design, client integration, and U.S. regulatory frameworks.

Provide comprehensive financial planning and investment advice to individuals and families. Build and manage a book of business through client acquisition, relationship development, personalized investment solutions, partner referrals, financial coaching, and digital education. Deliver exceptional client service while maintaining strong knowledge of financial markets, ethical judgment, and a focus on goals-based planning.

Designs, develops, tests, troubleshoots, and maintains secure, scalable cloud-native software solutions. Creates architecture and design artifacts, develops Python and data-intensive applications on AWS and Databricks, builds AWS Glue jobs, and improves system reliability through data analysis, automation, and responsible AI-assisted development. Collaborates within an agile environment while supporting software delivery, security, resiliency, and operational stability.

Lead end-to-end AI transformation projects for Payments, managing roadmaps, governance, cross-functional delivery, stakeholder engagement, risk mitigation, metrics, and product/technology coordination to implement data-driven solutions.

Manage end-to-end procedure documentation for Commercial Bank operations: prioritize BAU change requests, lead annual attestations, apply style guidelines, improve usability and searchability, ensure compliance and audit readiness, conduct QA and peer reviews, publish documents, and coordinate communications and meetings with business partners and control managers.

Generate and quality-control daily valuations for securitized products across multiple market closes. Collect and analyze market data, build and maintain cashflow and pricing models, assess complex deal structures and portfolio performance, conduct quantitative research, support product growth, improve controls, and communicate findings with clients, traders, portfolio managers, research teams, and technology partners.