At Kinaxis, who we are is grounded in our common belief that people matter. Each one of us plays an important part in accomplishing our work, building our culture and making a global impact.
Every day, we’re empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform RapidResponse ensures that the products we need – everything from medicine and cars, to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.
We make the world better, and you can too.
Software Engineer, Big Data Platform
Job location: This is a remote position. You can work from home and be located anywhere in Canada.
About the Team
Our Data Platform team designs and implements Kinaxis’ big data platform that allows data more secure and accessible to our data scientists and analysts. We collaborate with teams and stakeholders around the globe to implement cutting-edge innovative and industrial-strength AI solutions for the global supply chains.
We are looking for a passionate, smart and experienced engineer to help us build tools to further accelerate our mission to make data-driven solutions easy to experiment, build, secure and maintain.
What you will do
Design and implement scalable and maintainable platform(PaaS) for our data lake/warehouse, big data transformation and secure data governance of supply-chain AI solutions
Investigate and troubleshoot defects in a timely fashion
Participate in our team-oriented ceremonies, design sessions and code reviews
Effectively communicate technical and product knowledge to stakeholders at various levels such as engineers, product managers, engineer managers and architects
What we are looking for
Strong software engineering knowledge and discipline
Proficiency in any major programming language (eg. Java, Scala, C#)
Dedication to software craftmanship and teamwork
Passion for functional programming and big data processing
Degree in Computer Science or a related field or equivalent work experience
Excellent written and verbal communication, and interpersonal skill
Experience engineering data-intensive, highly scalable software platforms, data services or SaaS products
Knowledge of Spark, Docker, Kubernetes, Helm and cloud services (Azure, AWS, GCP)
Data warehousing, large scale batch or real-time data processing experience
What we have to offer
- Challenging Work - We love solving highly complex problems. And as the global leaders in our industry, we never stop innovating—our work is never “done. That’s because across our teams and in all roles, every employee is empowered to bring their best ideas forward and to jump in and solve the problems they’re passionate about.
- Great People - We take our work seriously, but we don’t take ourselves too seriously! It’s in our DNA to celebrate, laugh, and have fun. We are stronger, together, when we are open, honest, and above all, real. Every person is valued here and plays an important role in our shared success.
- Global Impact - As a global team spanning continents, boundaries, and cultures, every day we are inspired by the impact our work has on our colleagues, our customers, our communities, and the world at large.
- Diversity, Equity and Inclusion - Diversity, equity and inclusion are more than words to us. They are the guiding principles for building a culture where we celebrate each others’ differences, continuously strive for equality and recognize that inclusion makes us stronger as individuals, a company and a global citizen.
Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Human Resources at email@example.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.