Software Engineer III Java & Spark

s architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Experience in developing distributed, mission-critical trading or transactional analytics systems.

• Proficiency in Core Java, Spring Boot, and J2SE.

• Experience with Big Data technologies like Hadoop and Spark.

• Cloud computing experience with AWS or Azure.

• Database experience with RDBMS (e.g., Oracle) and NoSQL databases (e.g., MongoDB).

• Development of SOA services, including REST and XML/RPC.

• Strong understanding of algorithms, data structures, and multi-threading.

• Experience with Agile development and familiarity with TDD/ADD and automation tools.

• Strong analytical and problem-solving skills, with the ability to work under pressure.

• Understanding of CI/CD, application resiliency, and security practices.

Preferred qualifications, capabilities, and skills

• Developed market surveillance systems to monitor trading activities, ensuring compliance and detecting suspicious activities.
• Built and enhanced front-office trading platforms for equities, FX, commodities, and derivatives with a focus on low latency and real-time data processing.
• Created risk management solutions to assess and manage market, credit, and operational risks using advanced analytics.
• Designed big data solutions for processing and analyzing large volumes of financial data to support decision-making and strategy development.