Position at Wind River
In a world increasingly driven by software innovation, Wind River is pioneering the technologies to accelerate the digital transformation of our customers with a new generation of Mission Critical AI Systems in an AI-first world with the most exacting standards for safety, security, performance, and reliability.
Success will be determined by our ability to innovate with velocity and sell at the solutions level.
About the opportunity
Wind River Systems is seeking an experienced high-performing senior software engineer for a position developing a hybrid cloud-based data analytics, machine learning and artificial intelligence platform.
The successful candidate will join a highly skilled development team delivering internal and external tools and technologies across a complete analytics driven DevSecOps platform, pioneering many new industry leading capabilities.
This is a data warehouse all-rounder role. The core purpose of the role is to integrate the platform to embed into the product, the customer experience and ultimately the business.
We're looking for someone with expert level technical skills in cutting edge big data platforms.
You'll do things like :
Conceive, devise, create, implement and fine tune data science models to solve a range of development and systems problems
Help devise and layout a high-quality infrastructure, upon which future data science can flourish
Help up skill other analytical team members into advanced data science techniques
Produce ad hoc analyses
And let's be honest, a whole load of data wrangling!
Who You Will Work With :
The successful candidate will lead and collaborate with development and customer facing teams to ensure high levels of intuitive usability and product quality.
Deliver cloud analytics stacks across a wide portfolio of class-leading products, in many industry verticals.
Deliver and maintain cloud infrastructure, spanning on-prem, AWS and Azure.
Deliver features and updates to the infrastructure using Kubernetes, Docker, Jenkins and other tools.
Extracting data from development tools like Gitlab, Jenkins, JIRA, and many more.
Extracting data from real devices in the labs and the real world planes, trains and automobiles.
Ensure security of all data.
About you :
Core Competencies & Demonstrated Success
Demonstrable skills in SQL and Python
Experience with Nifi / Kafka / Postgres / Hadoop
Multiregion AWS & Azure experience
Kubernetes and Docker Experience
Excellent programming skills using Python, Go and C / C++.
Experience with Linux software development.
Knows what an RTOS is
Experience in autonomous systems development a bonus
3+ years of experience of big data analytics
6+ years working in software development arena
BSc / MSc degree (Computer Science, Computer / Electrical Engineering, or equivalent technical degree).