Java Engineer – Cloud-Native Financial Data Systems

Our clients institutional financial technology division plays a key role in driving data and platform strategy across their organization.

The team is responsible for building and maintaining a data platform that manages, processes, and distributes trading, revenue, risk, and reference data, including client, product, and pricing information for our clients.

As a central source of critical datasets, the platform is heavily involved in data engineering, modeling, processing, visualization, and analytics. 

The role involves developing user-facing, high-performance applications that operate on large-scale, real-time data systems using technologies such as Java, Angular, and Python. The platform leverages multiple data stores and processing frameworks, including both relational and NoSQL databases, as well as distributed data processing solutions.

They operate in a global, agile, and collaborative environment, working closely with stakeholders and their clients to set priorities and deliver scalable solutions. Responsibilities include implementing efficient caching and messaging strategies, as well as designing intuitive, enterprise-level data models by understanding the full lifecycle of financial products and end-to-end processing flows.

Our clients institutional financial technology division plays a key role in driving data and platform strategy across their organization.

The team is responsible for building and maintaining a data platform that manages, processes, and distributes trading, revenue, risk, and reference data, including client, product, and pricing information for our clients.

As a central source of critical datasets, the platform is heavily involved in data engineering, modeling, processing, visualization, and analytics. 

The role involves developing user-facing, high-performance applications that operate on large-scale, real-time data systems using technologies such as Java, Angular, and Python. The platform leverages multiple data stores and processing frameworks, including both relational and NoSQL databases, as well as distributed data processing solutions.

They operate in a global, agile, and collaborative environment, working closely with stakeholders and their clients to set priorities and deliver scalable solutions. Responsibilities include implementing efficient caching and messaging strategies, as well as designing intuitive, enterprise-level data models by understanding the full lifecycle of financial products and end-to-end processing flows.

Responsibilities

Collaborate in a global, distributed team environment across multiple regions
Manage and contribute to multiple projects simultaneously, ensuring timely delivery and quality outcomes
Design, develop, and maintain distributed systems using Java/J2EE technologies
Work across the full technology stack, including databases (RDBMS), batch processing, and application servers
Analyze complex technical challenges, research solutions, and drive issues through to resolution
Contribute to both technical design and implementation, ensuring scalable and robust system architecture
Engage with stakeholders to communicate ideas, provide updates, and align on technical solutions
Demonstrate strong ownership, proactively identifying improvements and driving initiatives forward
Apply problem-solving and analytical skills to optimize system performance and reliability
Effectively articulate and defend technical decisions while remaining open to feedback and collaboration

Requirements

Strong understanding of Java (Primary) / Python (Good to have) technology
Knowledge of open-source frameworks: Spring, Spring Batch, Spring Boot, Spring Cloud
Should have good understanding of microservices based architecture
Database Development and Debugging – Stored Procedures (Sybase and/or DB2)
NoSQL Experience preferably MongoDB
Database Design and Modeling
Decent Scripting knowledge (UNIX / Python)
Strong understanding of SDLC methodologies
Bachelor’s/Master’s Degree in Engineering, preferably Computer Science/Engineering, from a top tier university
Strong inclination towards innovation and efficiency
Ability to simultaneously manage multiple engagements, prioritize and resolve complex problems and escalate as necessary, in a deadline-oriented environment
Well organized and able to work in a fast-paced environment
Strong sense of ownership and accountability for work
Candidate will be required to work with geographically dispersed teams, specially team(s) in New York, London and India (Bangalore /Mumbai)
Excellent interpersonal, collaboration, client focus and organizational skills in a team-oriented environment
Possess excellent oral and written communication skills
Good problem-solving skills

Advantages

Experience in Cloud Native design including SPARK, Kafka
Experience on any Public Cloud Offering (AWS, Azure, Google)
UI Frameworkds