Overview
Cloud Platform – Senior Engineer Storage Jobs in Ottawa, Canada at Aptiv
Title: Cloud Platform – Senior Engineer Storage
Company: Aptiv
Location: Ottawa, Canada
Category:
About Wind River
Wind River is a global leader in delivering software for mission-critical intelligent systems.
For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability.
Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company’s software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers.
We’veachieved recent including with Verizonand building in the world with Vodafone.
for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a “Top Workplace” for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world.
About the Team
Within the Wind River Cloud team, we work with large-scale projects including Kubernetes, Docker, Open Stack and fast-paced Open-Source technologies that are in high demand from our customers. Wind River Cloud has adopted these technologies into the core of our product, which is driving us to find experienced and high-performing individuals that can learn and contribute to these full software stack solutions to fulfill the strict requirements of edge computing use cases from security to high availability.
The team delivers in the areas of configuration management, faultmanagementand host management. In addition,Wind River Cloud team is a leading contributor to the Open Source Starling
X cloud native project, to manage andmaintainthe critical infrastructure for highly distributed Edge solutions, primarily 5G.
The right candidate willpossessproven software engineering skills. You are expected to be versatile and able to thrive in a dynamic environment developing applications and tooling to be fault tolerant,availableand scalable for real time Kubernetes applications. You are comfortable managing competing priorities and can bring order to ambiguous scenarios. Maturity, impeccable judgment, and the ability to influence and lead are essential to success in this role.
Responsibilities:
Design and develophighly available, distributed storage solutions for edge cloud environments
Work as part of a team focused on containerization, virtualization, VMmanagementand fault tolerance/carrier grade development.
Contribute to integration and enhancement of container-native storage (e.g., Ceph, Rook, Kubernetes CSI drivers) within
Starling
X().
Develop andoptimizepersistent storage for Kubernetes workloads with a focus on performance, resiliency, and scalability.
Implement andmaintaindata replication, synchronization, and recovery mechanisms across geographically distributed edge nodes.
Diagnose and resolve issues related to IO performance, storage latency, and capacity management in distributed systems.
Contribute to storage resiliency and fault-tolerance strategies, including node failure handling
Enhance observability for storage systems through metrics, alerting, and logging for storage health and performance.
Collaborate with upstream communities (Ceph, Kubernetes, Open Stack) to upstream fixes and improvements in storage subsystems.
Leverage AI-assisted development tools (e.g., code generation, analysis, and debugging assistants) to improve code quality and development velocity.
Explore and apply AI-driven approaches to system observability, anomaly detection, and troubleshooting, particularly within storage and distributed systems.
Contribute to improving engineering workflows by integrating AI tooling into CI/CD, testing, and operational processes.
Qualifications/
Skills:
Bachelor’s / master’s degree in computer science or related field
5+ years of professional software…