Top Tech Jobs & Startup Jobs

Lead software engineering delivery for JPMorganChase’s Payments team, designing, developing, testing, and supporting secure, scalable Java and cloud-native applications. Responsibilities include writing and reviewing production code, troubleshooting client-impacting issues, improving operational stability through automation, evaluating architectures, owning features throughout the lifecycle, and mentoring or leading engineering communities.

Leads product portfolio operations and cross-functional transformation initiatives. Responsibilities include coordinating portfolio reporting and communications, improving business processes, streamlining policies and procedures, managing dependencies and stakeholder readiness, tracking benefits realization, accelerating adoption of AI-enabled solutions, and communicating complex changes to senior leaders and project teams. The role also promotes innovation, accountability, continuous improvement, and team development in a complex environment.

Develops, tests, troubleshoots, and maintains secure, scalable Java software within an agile team. Designs solutions across system components, considers upstream and downstream impacts, applies SDLC practices, and uses authorized AI-assisted development tools with appropriate validation. The role requires analyzing data, supporting application resiliency and security, and contributing to technical problem-solving. Preferred experience includes cloud technologies, AWS, and financial services.

Lead complex technology programs and software engineering projects from planning through delivery. Manage scope, timelines, budgets, resources, risks, and stakeholder alignment across engineering, product, business, and client teams. Drive agile practices, analytical improvements, vendor relationships, business process initiatives, and adoption of AI-enabled tools. Influence decision-making, resolve roadblocks, and ensure technology initiatives support firm-wide business objectives.

Own the strategy and roadmap for an ML platform supporting batch inference, real-time serving, and language model hosting. Drive self-service model deployment, monitoring, governance, explainability, reliability, and cost management. Partner with engineering, data science, infrastructure, risk, and compliance teams to accelerate production delivery, define KPIs, and ensure high-quality execution. The role also requires understanding production ML systems, language model operations, observability, responsible AI, and regulated-industry governance.

Lead end-to-end, cross-functional payments programs across regions: define scope, plan and govern delivery, elicit and prioritize requirements, run workshops, improve processes and reporting, manage risks, and coach teams while enabling safe, enterprise use of AI for program work.

Supports Financial Advisors and ultra-high-net-worth clients through onboarding, account maintenance, investment recommendations, trade execution, portfolio review preparation, money transfers, and administrative operations. Serves as a liaison among clients, advisors, branch management, compliance, and internal teams while ensuring regulatory compliance and delivering personalized wealth management solutions.

Manages a portfolio of small business clients, acquiring and retaining relationships while providing banking, deposit, cash management, credit, and financial advice. Identifies client needs, recommends tailored solutions, develops new business, conducts in-person client meetings, coordinates referrals across Chase business lines, and balances client service with portfolio profitability, risk management, and regulatory compliance.

Leads software engineering for infrastructure platforms, delivering secure, scalable, and resilient production systems. Designs, develops, tests, troubleshoots, and reviews code while driving automation, remediation, and modernization initiatives. Guides teams in responsible AI-assisted engineering, validating outputs for correctness, security, performance, and auditability. Leads infrastructure workstreams, evaluates vendor technologies, and architects solutions across public and private cloud environments, with a focus on Apigee, Python, and enterprise technology platforms.

Build and evaluate generative AI and autonomous agent systems that automate complex operational workflows. Responsibilities include translating business needs into technical approaches, developing agent orchestration and tool-use workflows, implementing reusable AI components, conducting rigorous model evaluations, supporting cloud production services, and collaborating with business and technology stakeholders on reliable, secure delivery.