Top Tech Jobs & Startup Jobs

Leads the design and delivery of secure, scalable distributed systems and AI-enabled applications. Responsibilities include architectural leadership, Java or Scala development, cloud engineering, CI/CD, infrastructure automation, API integration, retrieval-augmented generation, agentic workflows, responsible AI adoption, mentoring, and establishing engineering quality and security standards.

Manage client relationships during Merchant Services digital onboarding for small-business banking clients. Conduct outreach to collect information and documentation, serve as the primary onboarding contact, coordinate with KYC, Credit Operations, Sales, Product, and Customer Experience teams, recommend alternative payment platforms when needed, and ensure regulatory compliance and process improvements.

Leads software engineering within an agile team, providing technical guidance, developing and reviewing secure production code, and driving architecture and operational decisions. Promotes enterprise-approved AI-assisted development practices, governance, secure coding, automated testing, and SDLC automation. Serves as a technical subject matter expert and advocates for engineering frameworks and standards. Requires hands-on experience with Java, microservices, Kafka, AWS, PostgreSQL, cloud-native development, system design, testing, and operational stability.

Lead the design, architecture, and production deployment of multi-agent AI systems for control monitoring, risk analytics, and decision support. Develop agent orchestration, communication protocols, reasoning patterns, planning, tool use, memory, evaluation frameworks, and autonomous decision-making capabilities. Research and implement advanced agentic AI, reinforcement learning, and large language model techniques while partnering with technology teams and business stakeholders across the firm.

Provides escalation-level technology support for large-scale macOS environments. Maintains application and infrastructure stability, monitors production systems, troubleshoots complex endpoint, network, identity, security, and cloud issues, and supports incident, problem, and change management. Administers Jamf or Workspace ONE across more than 10,000 Macs, validates AI-assisted recommendations, identifies recurring issues, and communicates resolutions to technical and business stakeholders.

Leads the design, automation, and operation of enterprise backup, recovery, data-protection, and resilience services across hybrid and cloud environments. Builds distributed systems, APIs, automation, observability, security controls, and AWS infrastructure. Drives reliability engineering practices, compliance readiness, recovery assurance, cross-functional delivery, stakeholder influence, and engineer mentorship.

Leads enterprise data governance and regulatory technology programs involving data catalogs, lineage, entitlements, quality, metadata, and data contracts. Owns intake prioritization, roadmap delivery, agile coordination, executive governance reporting, audit-ready controls, and platform adoption. Partners with engineering teams and senior data leaders to advance data mesh, data product, self-service, and domain-driven ownership strategies.

Supports Private Client Advisors by handling account openings, money movement, investment trades, client requests, relationship management, account reviews, performance reporting, lead generation, wealth-planning assistance, risk management, and compliance documentation. The role requires prioritizing operational work, resolving issues, maintaining accurate records, meeting deadlines, and helping deepen client relationships through firm services.

Designs, builds, and operates global remote access infrastructure for virtual desktops and applications. Owns reference architecture, configuration standards, capacity planning, regional resiliency, failover, security hardening, certificate and authentication services, automation, and validation. Partners with networking, identity, security, and data center teams while applying AI-assisted engineering practices with strong validation, auditability, and data-sensitivity controls.

Leads development of secure, scalable Python backend and AWS cloud-native applications using microservices, serverless, containers, and infrastructure as code. Designs distributed systems, APIs, data stores, CI/CD pipelines, observability, resiliency, and security controls. Troubleshoots production incidents, conducts root-cause analysis, optimizes performance, modernizes dependencies, promotes AI-assisted engineering practices, and mentors team members while collaborating with product, platform, SRE, security, and data teams.