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Responsible for building and maintaining reliable, automated data pipelines and systems to ensure seamless data flow across the organization. Focuses on data infrastructure availability, performance, scalability and automation using tools like Apache Airflow, Spark and BigQuery. Collaborates with cross-functional teams to optimize data operations, monitor pipelines, troubleshoot incidents and implement DataOps practices. Requires experience managing cloud-based data infrastructure and implementing monitoring and security best practices.

Citi is hiring a Senior GenAI Specialist in Mississauga to design, develop, and deploy generative AI solutions for financial applications, including agentic AI, RAG pipelines, and intelligent chatbots. The role requires hands-on experience with LLMs, vector databases, prompt engineering, and MLOps to productionize models using containerization and cloud infrastructure. You will collaborate with engineering teams and business stakeholders to analyze large structured and unstructured financial datasets and drive GenAI innovation in areas like risk assessment and fraud detection. Strong Python, deep learning, and software engineering skills are essential.

Experienced Senior Java Developer to design and build scalable, high-performance real-time and batch data processing applications for front-office chat data. The role focuses on Java/Spring Boot microservices, Kafka for event streaming, Elasticsearch for indexing/querying, Oracle SQL/PLSQL, and Apache Spark for large-scale batch processing. You will integrate NLP engines via REST APIs, optimize performance and scalability, leverage caching (Redis) and CI/CD, and use Gen AI coding tools to accelerate development. The position involves close collaboration with product, business analysts, and global engineering teams to ensure reliability and alignment with business requirements.

Lead the Finance Data Office's cloud data governance program, defining and enforcing standards for structure, metadata, lineage, ownership, and controls across Finance cloud platforms (e.g., Snowflake). Partner with Finance business areas and Technology to ensure authoritative sourcing, cataloging, regulatory compliance, and AI/GenAI readiness. Drive cloud governance forums, train teams, develop automated cataloging and governance reporting, and maintain compliance metrics. Expected to work with senior management and deliver high-quality, well-controlled cloud data implementations.

Morgan Stanley is seeking an experienced Product Manager to drive the Workplace Platforms product strategy and deliver a unified participant experience across corporate stock plan platforms. The role partners with technology, UX, operations, risk, legal and sales to define requirements, prioritize features, and oversee delivery using Agile/Waterfall processes. Responsibilities include writing epics/stories, analyzing product performance and customer feedback, ensuring risk controls, and producing strategic materials for executive decision-making. The position focuses on improving online and mobile experiences for workplace participants and supporting the division's Unified Participant Experience initiative.

Senior product leader responsible for strategy and execution of global digital platforms for Equity Compensation and Workplace Wealth at Morgan Stanley Wealth Management. Lead cross-functional teams to design, build and integrate equity compensation experiences across online and mobile channels, driving onboarding, activation, servicing and cross-sell. Partner with senior stakeholders, control partners and data teams to define requirements, measure success, and ensure regulatory and risk controls. Focus on scalable omni-channel solutions and use of data/AI to inform product decisions and enhance client experience.

Morgan Stanley is hiring a Product Manager (AVP) to help define, build and improve end-to-end goal-based planning digital experiences across Morgan Stanley Online/Mobile and E*TRADE. The role involves backlog management, drafting requirements in Jira, working with Agile squads, and leveraging generative AI and AI analytics to inform product scope and prioritization. You will collaborate closely with technology, UX, risk, compliance and business stakeholders to deliver client-facing fintech solutions and track product KPIs. The position requires 3-5 years of product or business analysis experience and strong knowledge of web/mobile technologies and wealth management concepts.

Senior full-stack engineer role responsible for designing and developing complex end-to-end software systems across backend services and user-facing components. The role requires strong experience with Java and/or Scala, cloud and data platform technologies (e.g., Azure, Spark/Databricks, Snowflake) and front-end frameworks like Angular. You will mentor junior engineers, drive technical excellence, lead architecture and refactoring efforts, and advocate for automated testing and DevOps practices. The position sits within Morgan Stanley's Technology division supporting regulatory and internal data analysis solutions.

The Emerging Tech Engineer will evaluate and accelerate adoption of emerging technologies (primarily Cyber, AI/GenAI and Data Science, plus Cloud, DevOps, DLT/Blockchain) across Morgan Stanley, driving end-to-end technical product evaluations and proofs-of-concept to realize business value. The role partners with business and technology stakeholders, Labs and Sector Coverage teams to prioritize technology investments, remove adoption barriers, and establish enabling capabilities. It requires hands-on technical aptitude (experience building PoC lab environments, Python/scripting, cloud or on-prem) plus strong communication and project coordination skills to influence senior leadership and deliver results.

Associate Java backend developer role on the Institutional Securities Technology team supporting Advisory & Sales Distribution. Build time-critical, revenue-generating applications for investment banking using Java, Spring Boot (reactive), REST APIs and related backend technologies. Collaborate with product, QA and global peers in an Agile environment, applying TDD/BDD and DevOps practices to deliver scalable, high-performance systems. The role requires experience with data-intensive and real-time applications, asynchronous messaging, and relational databases.