דרושים » דאטה » Data Engineer /Architect

We are looking for a skilled Cloud DevOps Engineer to join our dynamic team. The ideal candidate will have a strong background in cloud infrastructure, automation, and continuous integration/continuous deployment (CI/CD) processes. You will be responsible for designing, implementing, and maintaining the cloud infrastructure that supports our applications and services. This role requires a deep understanding of cloud platforms such as Google Cloud, Azure, or AWS, as well as proficiency in scripting and automation tools. You will work closely with development, operations, and security teams to ensure that our cloud environments are secure, scalable, and highly available. Your primary goal will be to streamline our deployment processes, reduce downtime, and improve the overall efficiency of our cloud operations. In addition to technical skills, you should have excellent problem-solving abilities, strong communication skills, and the ability to work in a fast-paced, collaborative environment. If you are passionate about cloud technologies and have a knack for optimizing complex systems, we would love to hear from you.

Responsibilities
Design and implement cloud infrastructure solutions.
Automate deployment and scaling processes.
Monitor and optimize cloud performance.
Ensure security and compliance of cloud environments.
Collaborate with development and operations teams.
Manage CI/CD pipelines.
Troubleshoot and resolve cloud-related issues.
Implement backup and disaster recovery solutions.
Maintain documentation for cloud infrastructure.
Stay updated with the latest cloud technologies and best practices.

We are seeking an experienced cloud solution architect (5+ years) to design, implement, and manage cloud infrastructure and CI/CD pipelines for big data solutions using Kubernetes and AWS.
If you are passionate about DevOps and big data, wed love to hear from you!
What will your job look like?
Design and manage cloud infrastructure on AWS using IaC tools like Terraform or CloudFormation.
Optimize Kubernetes clusters for big data workloads.
Develop and maintain CI/CD pipelines using tools like ArgoCD and GitLab CI/CD.
Implement monitoring and logging solutions for big data systems.
Ensure compliance with security best practices.
Collaborate with development and operations teams.
Troubleshoot and resolve complex technical issues.

Required FinOps Specialist - Temporary Position (Maternity Leave Replacement)
Which department will you join?
The Cloud team of the Development Infrastructure (DI) department is responsible for our Cloud infrastructure on AWS and Google Cloud. We develop mainly in Python, and some Golang. We are developing highly efficient systems for the company, running on up to 500K CPUs, processing hundreds of Petabytes of data monthly collected from all over the world. We also provide networking, security, governance, support, and guidance for all of our diverse uses of AWS across tens of AWS accounts, including ML Training and AWS China. 
What will your job look like?
Analyze, optimize, and implement cost optimization actions over different cloud services
Implement and manage automated tools to help identify cost trends and anomalies
Create financial and usage dashboards
Work with our technical teams to design and implement new services in the most cost-efficient way
Work with the financial teams on budget, forecast, and expenses reports
Work closely with our finance and legal departments to negotiate cost terms and contracts.

Required System Architect
We build products that help drive the automotive industry towards the Autonomous Vehicle revolution.
This is an exciting opportunity to work with highly talented teams, and define the core software and algorithmic architecture for the vision and fusion algorithms on front-facing and surround systems aimed for different levels of autonomy.
What will your job look like:
Serve as a System Architect for our 'brain'- the part of the software responsible for the vision, fusion and high level management in ADAS and AV projects.
Define high-level architecture for new product lines and help adapt the current architecture dynamically to the changing needs.
Lead and facilitate internal product design discussions with technology managers.
Map the needs of the different algorithmic teams, functional testing teams, software, optical and hardware teams.
Understand the customer needs and our product-lines and strategy.
Define APIs and division of responsibilities between the different teams.