At NetWitness, we empower organizations to detect, respond to, and neutralize cyber threats in real time. Our cutting-edge security solutions provide deep visibility, advanced threat intelligence, and rapid incident response capabilities to help businesses stay ahead of evolving cyber threats.
Our Software Engineers create solutions. As part of the team, you will analyze the customer’s business goals, needs and general business environment to design technical system answers.
Responsibilities:
• Contribute to the design and architecture of new or re-engineered software/storage environments
• Prepare written software/storage specifications for complex products from architectural diagrams and documents
• Create and review design, functional, technical and/or user documentation, as needed
• Develop, review and implement test strategies for software products and systems/for storage products and systems
Requirements
• 5+ years of Software development experience
• Hands on development experience using Java technology stack with focus on architecture and design.
• Hands-on in Java Programming, J2EE, Spring, Hibernate, RestAPI, Data Structures, Design Patterns, Oracle Database, PL/SQL
• Experience in application servers with prime focus on Tomcat.
• Experience in messaging systems such as RabbitMQ.
• Experience working in Linux/Unix environments.Must be hands on with Object Oriented concepts along with passion for design patterns and applicability.
• Relevant experience in Java frameworks like Spring Microservices, Spring-Boot, Hibernate, JPA etc.
Top Skills
What We Do
PartnerOne is an enterprise software company that manages the world’s largest data environments through virtualized cloud storage, hyper-automation, artificial intelligence, and metadata analytics. Contrary to other software companies, we play a mission-critical role in not just one, but many aspects of the enterprise Big Data cycle.
Over 1250 of the world’s largest data environments rely on our software for their most critical needs and to safeguard their most valuable data.
