Impellam Group
Website:
impellam.com
Job details:
Job purpose-
The Senior Full Stack Java Engineer will design, develop, and maintain next-generation Capital Markets platforms using Event-Driven Architecture (EDA), Java microservices, Apache Kafka, and cloud-native technologies. The role will focus on building highly scalable and resilient applications supporting trade capture, lifecycle processing, workflow management, and real-time event distribution across Front Office, Middle Office, and downstream platforms.
The candidate will contribute to systems supporting FX, Rates, Swaps, OTC Derivatives, and post-trade processing workflows while collaborating with business, operations, risk, and technology stakeholders. Experience with ISDA Common Domain Model (CDM), Databricks, and enterprise data platforms will be an advantage.
Key responsibilities-
- Design, build, and maintain high-performance Java-based microservices.
- Develop scalable, fault-tolerant, and resilient distributed applications.
- Deliver end-to-end solutions spanning UI, backend services, APIs, and messaging layers.
- Build reusable frameworks, components, and libraries.
- Participate throughout SDLC including design, development, testing, deployment, and production support.
- Develop applications utilizing Apache Kafka for event distribution and real-time messaging.
- Build Kafka producers, consumers, and streaming solutions.
- Implement event sourcing, idempotency, retry handling, dead-letter queues, error recovery, and event versioning.
- Design Kafka topics, partitioning strategies, schema management, and consumer optimization.
- Support event replay, resiliency, and high-availability requirements.
- Develop microservices using Java 11/17+, Spring Boot, Spring Cloud, Spring Kafka, REST APIs, and JPA/Hibernate.
- Design and implement integrations across trading, risk, market data, and operational systems.
- Develop secure, scalable, and performant APIs.
- Optimize reliability and performance within distributed environments.
- Build solutions supporting: FX Spot, FX Forward, FX Swaps, Interest Rate Swaps, Cross Currency Swaps & OTC Derivatives
- Support trade lifecycle processing from execution through settlement.
- Collaborate with Front Office, Risk, Product, and Operations teams.
- Develop event-driven data pipelines feeding enterprise analytics platforms.
- Support integrations with Databricks and data lake environments.
- Enable regulatory reporting, risk reporting, reconciliation, trade surveillance, and operational analytics.
- Ensure data quality, governance, and lineage standards.
- Support adoption of ISDA Common Domain Model (CDM).
- Contribute to event and lifecycle modelling.
- Enable standardized trade lifecycle processing and canonical business event structures.
- Promote cross-platform data consistency.
Key competencies-
- Strong hands-on experience in Java (Java 11/17+) development.
- Expertise in Spring Boot, Spring Cloud, Spring Kafka, and JPA/Hibernate.
- Experience designing and developing Microservices-based applications.
- Strong knowledge of Event-Driven Architecture (EDA) principles.
- Hands-on experience with Apache Kafka, Kafka Streams, and Kafka Connect.
- Experience building Kafka producers, consumers, and stream-processing applications.
- Strong expertise in REST API design, development, and integration.
- Experience with distributed systems and scalable application architecture.
- Good understanding of event sourcing, idempotency, dead-letter queues (DLQ), retry mechanisms, and event versioning.
- Proficiency in Oracle, PostgreSQL, SQL Server, MongoDB, and Redis.
- Experience with AWS and/or Azure cloud platforms.
- Hands-on experience with Docker and Kubernetes.
- Experience implementing Infrastructure as Code (Terraform).
- Knowledge of CI/CD pipelines using Jenkins and GitHub Actions.
- Experience with observability and monitoring tools including Grafana, Prometheus, Splunk, ELK Stack, and OpenTelemetry.
- Strong understanding of software engineering best practices, design patterns, and Agile methodologies.
- Experience integrating trading, risk, market data, and operational systems.
- Exposure to Databricks, Apache Spark, Delta Lake, and enterprise data platforms is preferred.
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