صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيحالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيDeep Instinct the first cyber security company to apply Deep Learning to cyber security is an innovative startup that has a unique and gamechanging software solution to protect against Zero Day & APT cyberattacks. This is an incredible opportunity to get in early at a PreIPO Cyber Security company that is poised to do huge things! Were on a mission to disrupt the cyber security market and the time is NOW!
In the past 7 years we ve faced and continue facing the challenges of bringing DeepLearning technologies and performancedriven software to a single solution.
Why work with us:
At Deep Instinct we are committed to creating excellent employee experience. We offer competitive salaries a generous benefits package among great culture. We have some of the most forwardthinking and hardworking people in the world working for us. What are we looking for
We re looking for an additional player to join our agentless team that would bring the world the cyber security solution it needs. Someone who is a savvy developer aspiring to spearhead the design and development of a cuttingedge malware detection service all while having fun throughout the day. Someone who isn t afraid to learn on their own while expanding the vast knowledge currently existing in the company all in the pursue to help protect the world s data.
As a data infrastructure engineer in Deep Instinct youll be at the forefront of data and ML infrastructure development. On a daily basis you will design develop and maintain the systems that allow for the seamless flow quality and reliability of our data and deep learning models. You will be part of a crossfunctional team in close cooperation with Algo and Cyber Security teams and answer their needs using cuttingedge technologies.
Responsibilities
Develop creative and robust software solutions to automate the operation of large distributed data processing systems.
Help build and support internal and external frameworks like spark pytorch etc to interact with various cloud technologies.
Designing and implementing complex ETL pipelines.
Collaborating with data scientists to develop new ML Ops processes.
Keep close and overall monitoring for all the deployments of the systems maintain the system s stability improve the performance the performance bottlenecks track and troubleshoot cost optimization.
Requirements :
Minimum 3 years of programming experience with Python in a collaborative CI/CD software development environment including git code review easily maintained scalable and documented code.
Data processing experience with ETLs and SQL data bases (experience with pipelines).
Experience with cloud environment management.
Experience with distributed data systems such as Hadoop Elasticsearch etc and their performance optimization.
Working with systems like Docker and Kubernetes.
Bachelors degree in Computer Science Software Engineering or equivalent practical experience.
Remote Work :
Yes
Employment Type :
Fulltime