What You’ll Contribute
Work closely with product managers to understand priorities and usage scenarios of product features.
Collaborate with user experience personnel to understand personas within usage scenarios.
Work with architects to drive the design for your software platform capability.
Collaborate within working groups of software engineers to follow software engineering standards, guidance, and processes.
Continuously improve engineering practices for the software platform to support efficiency, reliability, and serviceability goals.
Assist research, case studies and prototypes on technologies to ensure the software platform remains the leading analytic decisioning platform.
Coach other software engineers on creating their domain designs.
Collaborate with QA engineers to design and implement non-functional tests.
What We’re Seeking
Bachelor’s/Master’s degree in computer science or related discipline.
Experience designing, building, deploying, and operating commercial software that integrates sophisticated AI & ML stateful algorithms executing in low milliseconds.
Experience with commercial software that covers the entire lifecycle of intelligence execution, from authoring to execution to observing.
Proficient with integrating model development tools within AI & ML tools such as Jupyter and Sagemaker.
Experience building sophisticated runtimes in C++ that integrate various other languages such as Python.
Ability to define and drive design transformation to an end state that is based on simplicity, modern software design patterns, open-source software, and cloud environments.
Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
Experience creating, documenting, and communicating software designs for complex products.
Skilled with domain-driven, event-driven, and microservice architectures.
Proficient in building, tracking, and communicating plans within agile processes.
Capable of coaching/mentoring individuals and teams.
Experience with supporting production software deployments.
Proficient with commercial software product processes.
Experience with multiple public cloud technologies is a plus, e.g., AWS, Google, Azure.
Experience with Kubernetes control plane and ecosystem is nice to have.
Preferred experience using artificial intelligence and machine learning technologies.
Our Offer to You
An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
The targeted base pay range for this role is: $123000 to $193000 with this range reflecting differences in candidate knowledge, skills and experience.
Any Graduate