
1001 - 5000 employees
Founded 1990
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Rocket Software is a company that specializes in IT modernization and hybrid cloud solutions. They provide a variety of products and services aimed at optimizing mainframe and cloud integration, enhancing security and compliance, and improving IT skills and efficiency through automation and innovation. Rocket Software offers solutions for content services, hybrid cloud, IBM i, security, and efficiency, along with modernization of enterprise applications, data, and infrastructure. Their focus is on helping organizations seamlessly bridge critical business applications and data with AI-powered solutions for increased productivity and decision-making, while maintaining robust security and resilience.
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1001 - 5000 employees
Founded 1990
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Rocket Software is a company that specializes in IT modernization and hybrid cloud solutions. They provide a variety of products and services aimed at optimizing mainframe and cloud integration, enhancing security and compliance, and improving IT skills and efficiency through automation and innovation. Rocket Software offers solutions for content services, hybrid cloud, IBM i, security, and efficiency, along with modernization of enterprise applications, data, and infrastructure. Their focus is on helping organizations seamlessly bridge critical business applications and data with AI-powered solutions for increased productivity and decision-making, while maintaining robust security and resilience.
• Architect, design, and implement Change Data Capture and data integration technologies • Develop software that reads, interprets, and processes database transaction logs • Analyze database internals, transaction structures, encodings, and storage formats • Reverse engineer undocumented or partially documented software, interfaces, and data structures • Build, compile, debug, and test software across mainframe and distributed environments • Diagnose complex performance, reliability, compatibility, and data-integrity issues • Drive technical direction for CDC-related capabilities and engineering standards • Mentor engineers and share expertise in systems programming, database technologies, and software architecture • Collaborate with Product Management, Support, and Customer Success teams to solve complex customer challenges • Investigate and resolve critical customer escalations involving business-critical production environments • Work outside normal business hours when required for critical customer issues, production incidents, releases, or operational events • Champion innovation and adoption of modern engineering and AI-assisted development practices
• 10+ years of software engineering experience • Strong proficiency in C, C++, or comparable systems programming languages • Experience developing enterprise-scale software involving database internals, data replication, CDC, transaction processing, or similar technologies • Proven ability to understand and work within large, mature legacy codebases • Experience reverse engineering software behavior, transaction logs, binary formats, encodings, or proprietary interfaces • Hands-on experience building, compiling, debugging, and testing software across mainframe and distributed platforms • Strong understanding of performance optimization, concurrency, reliability, and data integrity • Excellent analytical, troubleshooting, and problem-solving skills • Strong written and verbal communication skills • Bachelor’s degree in Computer Science, Engineering, IS, or related technical discipline • Expertise in one or more of: Db2 for z/OS, Db2 LUW, Datacom, Adabas, or IDMS (preferred) • Experience with CDC, replication, recovery, log-reading, or database utility technologies (preferred) • Familiarity with z/OS, JCL, EBCDIC, packed decimal, and related mainframe technologies (preferred) • Experience modernizing mature enterprise software systems (preferred) • Experience with cloud-based or distributed architectures (preferred)
• Minimal travel requirement (<5%) • Inclusive workplace environment • Equal opportunity employment • Reasonable accommodation for disabilities • Background and reference checks as part of the hiring process • AI-powered tools and technologies to enhance efficiency, improve decision-making, and impact • Continuous learning and responsible use of AI
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