Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large-scale strategic planning
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new client needs while leveraging a solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects, act as an escalation point, and provide guidance and direction to less experienced staff
Required Qualifications:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of software development experience using Java and Python, with demonstrated proficiency in at least one
2+ years of experience developing data processing solutions using Apache Spark or comparable distributed data processing technologies
2+ years of SQL development experience with modern data lakehouse technologies, such as Apache Iceberg, Delta Lake, Project Nessie, or equivalent platforms
Desired Qualifications:
2+ years of experience supporting Counterparty Credit Risk functions within Capital Markets environments
Experience deploying and managing Apache Airflow on Kubernetes or OpenShift, including development and maintenance of Helm charts
Experience developing and supporting Apache Airflow DAGs and workflow scheduling
Experience using Harness CI/CD pipelines or equivalent technologies, to automate build, testing, and deployment processes
Experience working in Agile delivery teams, including participation in sprint planning, backlog refinement, and stand-ups
Proficiency with Jira and Confluence for project tracking, collaboration, and documentation
Experience leveraging GitHub Copilot or similar AI-assisted development tools to support software development, automation, and developer productivity