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You will play a key role in leading and scaling our DevOps and Cloud operations teams. Your mission is to ensure that our SaaS platform is reliable, scalable, and efficient, while enabling engineering velocity and high-quality delivery.

This is a hands-on leadership role combining technical depth with team management. You will work closely with R&D and Product to continuously improve our infrastructure, deployment processes, and production operations.

Responsibilities

DevOps Management
Architect and manage multi-cloud infrastructure (Azure, AWS, GCP).
Own CI/CD pipelines and IaC frameworks (Terraform, Pulumi).
Define and enforce SLOs/SLAs with an SRE mindset.
Manage monitoring, alerting, and incidents.
Promote Kubernetes and scalable micro-services practices.

SecOps & FinOps
Support implementation of security best practices across cloud and CI/CD environments in collaboration with Security stakeholders.
Participate in security incident response processes when relevant.
Own cloud cost visibility and optimization processes, including tagging, monitoring, and ongoing efficiency improvements.
Support business continuity and disaster recovery.
Enforce cost-efficiency policies and guardrails.

People & Process Management
Manage and develop DevOps team.
Establish and improve operational processes to support engineering delivery and production readiness.
Foster a culture of ownership and continuous improvement.
Provide operational metrics and updates to engineering leadership.

We are looking for a Backend Developer to join our Smart Mobility R&D team. This is a great opportunity for developers with around 2+ years of experience to grow professionally while working on large-scale production systems.You will work as part of a collaborative engineering team building scalable backend systems for smart mobility solutions, alongside Product, DevOps, and QA.
Responsibilities
Build and maintain backend services using Python and .NET on modern cloud platforms.
Take part in designing and developing scalable, production-grade backend systems.
Collaborate with Product, DevOps, QA and other engineers to deliver reliable solutions.
Write clean, maintainable and well-tested code, and participate in code reviews.
Use AI tools and agents to improve development workflows and productivity.

Were on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the worlds first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning Machine Learning, GenAI, and computer vision across the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world.
We are looking for an experienced Research Scientist, Sensing to push our inspection beyond todays sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that todays systems cannot see.
A day in the life and how youll make an impact
* Survey emerging sensing technologies and identify the modalities most likely to expand our defect coverage.
* Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
* Run controlled experiments that benchmark new modalities against todays inspection stack on shared defect scenarios.
* Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
* Recommend which modalities graduate into product and partner with R&D and product on integration.