Senior Go Engineer building Zelle and Fedwire payment capabilities for Form3’s cloud - native payments platform. Designing resilient, regulated, high - volume payment infrastructure from Ontario, Canada.
About the role
- Senior technology leader at Citi responsible for scalable enterprise applications and data platforms. Leading systems analysis, application development, and technical strategy while mentoring engineers.
Responsibilities
- Lead the design and development of scalable, high‑performance data ingestion solutions for enterprise data lakes using Apache Spark, Hadoop, and related big‑data technologies
- Architect and implement Apache Airflow clusters to orchestrate enterprise data pipelines (DAGs)
- Design and deliver BI and analytics reporting solutions, including automation of reporting and release processes
- Build and maintain data quality, data governance, and control frameworks
- Develop engineering tools and best practices to improve developer productivity, code quality, and operational readiness
- Design solutions and frameworks to enhance risk management, controls, and compliance
- Provide hands‑on technical leadership and ensure solutions align with enterprise architecture and firmwide standards
- Partner with architecture, infrastructure, and business teams to deliver integrated solutions aligned to business objectives
- Perform complex system analysis and lead problem‑solving using sound engineering judgment
- Mentor and coach mid‑level engineers; guide work allocation and technical execution
- Proactively assess and manage risk, ensuring compliance with regulatory requirements, internal policies, and ethical standards
Requirements
- Bachelor’s degree or equivalent practical experience required
- 5+ years of experience in Java or Python
- Strong understanding of Object‑Oriented and Functional Programming
- Experience developing RESTful APIs, OpenAPI / Swagger, and Java/J2EE applications
- Knowledge of big‑data ecosystems: Spark, Flink, Kafka
- Familiarity with data lakes, batch and streaming pipelines
- Understanding of data quality, governance, and controls
- Experience with microservices architecture and design patterns
- Familiarity with containers and orchestration: Docker, Kubernetes, OpenShift
- Knowledge of CI/CD and release automation
- Experience in on‑prem and hybrid cloud environments, with preferred experience in AWS, Azure, or GCP.
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