Headquartered in Palo Alto, Calif., TIBCO Software empowers businesses to their digital destinations by interconnecting everything in real time and providing augmented intelligence for everyone, from business users to data scientists.
With more than 10,000 customers, 3500 employees located in over 30 countries, TIBCO has retained the speed and agility of a startup.
We value and encourage new ideas, direct communication, out-of-the-box thinking, risk-taking and creative problem solving.
Don’t know TIBCO? We fuel digital business by enabling better decisions and faster, smarter actions through our connected Intelligence Cloud.
From APIs and systems to devices and people, we interconnect all these data sources, capture data in real time wherever it is, and augment the intelligence of people and things in a business through analytical insights.
TIBCO was recently named a leader in Gartner’s Magic Quadrant for Data Science and Machine Learning Platforms.
Customer examples include :
36 of the top 55 banks in Fortune’s Global 500
32 of the world’s leading Retailers
25 of the world’s leading Airlines including all of the top 5
7 of the world’s top 10 Manufacturing companies
20 of the largest 25 European companies
We're looking for people who want to make a difference doing a job they love dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, new-idea-driven environment.
We value hard work and provide new opportunities to grow, learn, and excel.
As a Senior Engineer for TIBCO Data Science you will enhance and extend the capabilities of a leading commercial data science and analytic platform that provides highly scalable machine learning capabilities across financial services, manufacturing, energy and other verticals.
You will aim to develop powerful analytic software that is still easy to use. You will develop features end-to-end for a range of customers from VMware to NASA.
You will be working with the latest cloud native development technologies.
Candidates must have strong programming skills, engineering experience with big data analytic technologies and a strong desire to work with the latest cloud and distributed computing technologies.
Lead development of a massively-scalable analytic and machine learning platform built on Hadoop and Spark
Work on the full stack of application development, using agile practices, from concept phase through testing and launch
Develop cloud architectures and make use of cloud storage and compute services from AWS, Microsoft Azure and Google.
Evolve our analytics plug-in framework supporting extensible, scalable analytic tools
Contribute to open-source projects for analytics and machine learning
5+ years of experience in software development. Understands test driven development and build automation practices.
Strong Java skills (able to work with Servlets, Spring, Jetty) and Scala skills are a must (knowledge of Akka, Spray a plus).
Knowledge of functional programming principles.
Experience / Knowledgeable with micro services architectures and cloud technologies such as AWS, Docker, Kubernetes.
2+ years commercial software engineering experience with Big Data technologies, including Spark, Hadoop, Pig and Hive
Python experience is a plus.
Knowledge of the latest technologies in Big Data analytics, machine learning
Strong communication skills and the ability to collaborate and lead in a dynamic team
Passion to learn new technologies, solve problems, and deliver customer-centered solutions that make you proud