Top Tech Jobs & Startup Jobs

Leads architecture, design, development, testing, documentation, and code reviews for scalable Java-based clearing applications in hybrid cloud and Agile environments. Analyzes requirements, ensures security, performance, reliability, audit, and quality standards, supports production issues, and conducts risk analysis. Mentors developers and collaborates with business analysts, architects, product owners, and cross-functional teams. Develops event-driven and distributed solutions using Java, cloud technologies, messaging platforms, databases, DevOps tools, and automated testing frameworks.

Owns Investor Education’s visual identity, brand standards, video strategy, and digital content production across web, email, social, print, and events. Manages video production, website updates, accessibility compliance, performance metrics, and user experience improvements. Coordinates business continuity, management self-testing, compliance documentation, and risk remediation. Partners with internal teams and external vendors, supports events and departmental projects, and provides guidance to interns and junior marketing staff.

Supports and drives IT, security, and enterprise regulatory compliance programs in a highly regulated financial environment. Advises business units on regulatory obligations, risk and control frameworks, remediation plans, audits, examinations, policies, procedures, and controls. Monitors regulatory changes, evaluates new products and technology initiatives, prepares compliance reports, and partners with internal control functions, auditors, regulators, and business stakeholders. The role also supports continuous improvements across IT and Security Services compliance.

Manage day-to-day database administration staff and operations to ensure availability, integrity, and recoverability of corporate databases. Support project and production databases, review/approve design changes, coordinate cross-department activities, hire/train/evaluate staff, and manage budget and departmental objectives.

Leads architecture, design, development, testing, and documentation of scalable, secure, cloud-based clearing applications. Analyzes requirements, reviews code, develops unit and integration tests, assesses risks, supports production issues, and ensures adherence to SDLC, security, performance, audit, and quality standards. Mentors developers, collaborates with business and technical stakeholders, contributes to enterprise data strategy, and supports training and continuous improvement.

Analyzes business and technology needs, identifies gaps and dependencies, and translates stakeholder requirements into user stories, acceptance criteria, and system designs. Partners with product owners and scrum teams on Agile planning, backlog refinement, integrations, testing, data flows, and UI requirements. Supports enterprise policies, standards, documentation, and cross-functional collaboration while solving complex problems across legacy and future-state systems.

Develop scalable Java and Spring Boot microservices, REST APIs, distributed event-driven systems, and real-time AWS applications supporting financial market clearing and risk operations. Optimize database access and SQL performance, work with Kafka, MongoDB or PostgreSQL, conduct software testing and risk analysis, address security vulnerabilities, follow SDLC and Agile practices, and assist production support.

Leads enterprise-wide AI adoption by owning AI literacy and training programs, workforce transformation, change management, adoption metrics, communication materials, and reusable enablement playbooks. Partners with business, technology, and AI portfolio teams to address adoption barriers, redesign roles, and align organizational readiness with the AI roadmap. Coordinates cross-functional contributors without direct supervisory authority.

Leads OCC’s AI transformation agenda by identifying business opportunities, building prioritized AI roadmaps, and owning use cases from problem definition through adoption. Translates business needs into technical requirements, evaluates AI vendors and feasibility, supports governed citizen-led development, and partners with CTO engineering teams. The role also drives AI adoption, monitors outcomes and risks, supports portfolio reporting, and advises stakeholders on AI architecture, governance, and operating-model transformation in regulated capital-markets environments.

Design and implement quality metrics and ETL pipelines for reporting. Collaborate in Agile teams to analyze requirements, create test scenarios, validate data, monitor KPIs, optimize SQL performance, develop reusable ETL frameworks, integrate Tableau dashboards, recommend automation tools, and lead QA governance and team workload management.