Calpyso Engineer
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Remote
Depends on Experience


VHL Technologies
Fitment
Dice Job Match Score™
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Job Details
Skills
- Nasdaq Calypso
- Calypso
Summary
Calpyso Engineer Role
Remote
Long term Contract
Required Qualifications
- Minimum of 5–7 years of hands-on experience supporting Nasdaq Calypso platforms and infrastructure.
- Experience configuring, implementing, and testing OTC derivatives products across the trading lifecycle, including front, middle, and back-office processing.
- Strong experience configuring and extending Calypso application modules for Interest Rates, Commodities, FX, FX Options, and Equity Derivatives.
- Good understanding of collateral management, General Ledger accounting, ISDA SIMM, and SWIFT processing.
- Hands-on experience integrating Calypso with financial market utilities such as DTCC SDR, FedWire, Bloomberg, AcadiaSoft, TriResolve, and market data, credit risk, and market risk platforms.
- Experience developing and supporting applications using Java, Spring Boot, WebSphere, MQ, ETL, and REST APIs.
- Experience working on UNIX/Linux environments with Oracle SQL and PostgreSQL.
- Strong programming skills in Java, JavaScript, HTML, Python, Angular, and Unix shell scripting.
- Experience working with AWS cloud services and DevSecOps/CI/CD tools such as Bitbucket, Jenkins, Nexus, Terraform, or equivalent technologies.
- AWS Cloud certification is a plus.
- Strong analytical, problem-solving, communication, and interpersonal skills.
- Ability to collaborate effectively in a fast-paced Agile environment.
Preferred Qualifications
- Experience in financial services supporting trading, capital markets, portfolio management, treasury, compliance, or wealth management platforms.
- Experience with Apache, Lucene, Memcache, RabbitMQ, and NoSQL technologies.
- Experience supporting Calypso upgrades, production support, performance tuning, and application optimization.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90982944
- Position Id: 9036875
- Posted 18 hours ago
Company Info
About VHL Technologies
OUR CORE EXPERTISE
We have a large pool of expert resources that specialize in all aspects of the Big Data Technology stack including Spark SQL, spark streaming, Hive, Pig, Storm, Hbase and MongoDB, Cassandra, Redis and other NoSql technologies. We take pride in partnering with companies to help them harness the power of big data, enabling advanced analytics, AI, BI and deep learning. We are obsessed with all things data and our vision is to enable companies explore and monetize massive amounts of unexplored data assets at the speed of thought.


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