R&D Software Engineer

The Elevator Pitch: Why would you enjoy this new opportunityVMware by Broadcom is the leader in datacenter infrastructure, networking and security business, and virtualization software. We empower customers with solutions from the software-defined data center to hybrid cloud computing and the mobile workspace. We have an exciting opportunity for a Sr Engineer on our Security Intelligence Big Data and Analytics team in the Application Networking and Security Business Unit. A tightly knit and fast paced team, Security Intelligence develops a distributed analytics engine that gives customers real time, actionable insights into their VMware vDefend security deployments. Security Intelligence is focused on security, with Network Traffic Analysis, Intrusion Detection and Prevention, Distributed Firewall, Policy Recommendations and Network flow and threat Visualization being some core features.
The Security Intelligence team is looking for engineers who share our passion for innovation in the fields of network security, distributed systems, machine learning, and big data visualization to name a few. Youll be working with technologies like Kubernetes, Kafka, Spark, Apache Druid, Redis, MinIO, Java Spring, Golang, and more to enable our customers to better protect their networks against threats, deliver granular network analytics, and gain datacenter-wide visibility. You will be part of a talented team of industry experts from across the world. You will be part of a winning team - Security Intelligence won TechTarget s Best of Show award - Judge s Choice for Disruptive Technology, in VMWorld. Are you ready for your next great challenge with the Security Intelligence team at VMware by Broadcom
Success in the Role: What are the performance outcomes over the first 6-12 months you will work toward completing
You will contribute to key pieces of Security Intelligence, including but not limited to crisp network flow visualization, policy recommendation, network threat detection as per MITRE framework, metrics, and health analytics.
You will analyze and improve performance, scalability, and stability of Security Intelligence when servicing multiple complex queries while ingesting and processing terabytes of data.
You will collaborate effectively with other engineers and researchers to solve complex problems.
You will work with a global team in different geographical locations and will have a unique opportunity to mentor and grow junior engineers while also developing your leadership skills.
You will be building highly scalable big data platforms within large complex systems to drive significant customer impact.
You will be driven and passionate about understanding customer needs and crafting high quality solutions to meet those needs.

The Work: What type of work will you be doingWhat assignments, requirements, or skills will you be performing on a regular basis
Champion growth, and transformation of Security Intelligence using subject matter expertise and creativity and ingenuity
Ensure high-quality software and high customer satisfaction.
Lead and participate in design reviews to build highly scalable and a performant distributed system architecture.
Influence technical discussion and decision making
Be an effective spokesperson and champion for Security Intelligence while pushing the envelope in adopting new technologies and best design practices.

Who you are:
You are a self-starter - you thrive in a fast paced and changing environment.
You have strong collaboration skills with a Team First mentality.
You have technical engineering excellence, innovation in everything you do.
You have a Growth mindset in tackling problems and creating great solutions.
You have a Bachelors in Computer Science or equivalent.

Preferred Qualifications
Bachelors and 8+ years or Masters degree and 6+ years of related experience in developing distributed, multi-tier enterprise applications.
Solid knowledge of OOP concepts, object/data modeling, and data structures.
Deep working knowledge/expertise in Java.
Working knowledge of Relational Databases and NOSQL Databases.
Experience using or tuning Druid, Redis, Spark, Kubernetes is desirable
Experience with Performance Analysis and Optimization in Big Data processing.
Experience with Spring and SpringBoot
Exposure to firewall and end-point security concepts (nice-to-have).
Exposure to virtualization technologies, centralized networking, SDN, and security management.