Top Tech Jobs & Startup Jobs

Lead and develop Java-based web services in an Agile Scrum environment. Design and implement REST/SOAP services, ensure thread-safe high-volume application performance, use J2EE, Spring, messaging (JMS/MQ), ORM and relational databases, and mentor a team of developers.

Design and manage the test data management lifecycle and governance. Implement data masking/obfuscation and data sub-setting across complex, integrated environments to support testing and compliance.

Design, implement and support enterprise monitoring suites and event management processes. Provide scalable monitoring architectures across infrastructure, applications, databases and middleware. Develop automation/scripts, coordinate projects, and apply monitoring best practices and APM tools to ensure high availability and performance.

Design, develop and maintain ETL solutions using IBM DataStage for DW/BI projects. Build parallel jobs, implement CDC and UDFs, tune Oracle/DB2 SQL/PLSQL, perform architecture and design reviews, monitor jobs with DataStage Director, use Unix/Linux and scheduling tools (Autosys, Control‑M, Tivoli), and support financial-domain clients.

Design, develop and lead MuleSoft-based integrations and RESTful APIs using Java/Spring or Node.js. Produce design documents and best practices, work in CI/CD and Agile/Scrum, mentor geographically distributed developers, and support change and incident management processes.

Design, develop and maintain Oracle Commerce (ATG) solutions in digital/commerce projects. Participate in SDLC and project lifecycle activities, perform design and architecture reviews, and collaborate with cross-functional stakeholders.

Develop native iOS applications using Swift and Xcode, focusing on performance and OOP principles. Participate across the SDLC, collaborate with global teams and multiple stakeholders, apply analytical skills, and continuously learn new technologies. Requires broad IT experience and the ability to work in a global delivery environment.

Design and deliver large-scale Big Data solutions using Hadoop ecosystem (MapReduce, Hive, Pig, Sqoop, Oozie, YARN). Develop Java-based data processing, REST APIs, and ETL; work with Spark, Kafka, HBase, Parquet/Avro, Impala and related tooling. Perform SQL tuning, sizing/estimating, and contribute to framework development in a global delivery environment.

Lead and participate in mainframe modernization projects (re-engineering, re-platforming, rationalization). Design and review architecture, develop and maintain mainframe applications using COBOL/PL/I/Assembler, CICS, IMS, JCL, DB2, and vendor tools. Collaborate across global teams and stakeholders, follow SDLC processes, and apply analytical and communication skills.

Design and execute performance test strategies: develop workload patterns, estimations, and load tests using tools like HP Performance Center and JMeter. Use APM tools (Dynatrace, AppDynamics) and heap/thread dump analysis to identify bottlenecks, lead optimization across network, database, app, and server components, and coordinate reporting and remediation with engineering teams. Mobile performance testing experience is a plus.