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Java Software Engineer

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: Apexon
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    Backend Developer, Java Developer, Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below

Overview

We are seeking a Software Engineer to contribute to the resilience, scalability, and operational excellence of our Corporate Actions (GASS) platform. The platform processes voluntary and mandatory corporate action events — dividends, mergers, splits, rights issues, spin-offs, tender offers, and elections — across the full lifecycle from event capture and entitlement calculation through position impact, client notification, booking, and downstream publication.

Built on a heterogeneous stack spanning C++, Java, Kafka, Sybase, Perl, Autosys, Proc Mon, and MongoDB, the platform demands precision, auditability, and deterministic processing at every stage.

Tech stack:
Java (JVM), C++, Apache Kafka, Sybase (Stored Procedures), MongoDB, Perl Scripts, Autosys

Responsibilities
  • Contribute to the resilience, scalability, and operational excellence of the Corporate Actions platform.
  • Support end-to-end processing from event capture to downstream publication, ensuring accuracy and auditability.
  • Own production incidents, perform log analysis and RCA contributions, and maintain runbooks.
  • Work with the platform’s heterogeneous stack and health monitoring to ensure deterministic processing.
Qualifications Must-Have
  • Java multithreading, concurrency, basic JVM/GC diagnostics
  • C++, ability to read, trace, and debug native components in a production codebase
  • Apache Kafka - producer/consumer patterns, offset management, idempotency, retry handling
  • Sybase stored procedures - reading, debugging, and maintaining SQL
  • Perl scripting - debug and extend batch/ingest scripts in a production pipeline
  • Autosys - job chaining, dependency management, failure recovery for batch processing
  • Test automation - integration and unit testing, regression coverage for event-driven workflows
  • Production ownership - incident investigation, log analysis, RCA contribution, runbook maintenance
  • Practical familiarity with AI-enabled development and operations tooling
Good-to-Have
  • Corporate actions domain - entitlement calculation, mandatory/voluntary events, elections, ex-date/pay-date processing, custody chains
  • Snowflake / SQL - querying large datasets for reconciliation and data validation
  • Observability - Prometheus, Grafana, Elasticsearch, structured logging
  • Gradle / Maven - multi-module builds and dependency management
  • AWS / Kubernetes - cloud and container platform awareness (added advantage)
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