Role Description - Réaliser des diagnostics sur ces ouvrages, parfois classés ou inscrits aux monuments historiques. - Utiliser le progiciel de gestion afin d'établir des indicateurs de qualité. - Harmoniser les pratiques de diagnostics et suivre leurs programmations. - Analyser les incidents rencontrés et en tirer les conséquences (ampleur des désordres esthétiques, fonctionnelles et structurelles). - Suivre les évolutions technologiques des matériaux et des méthodes. - Rédiger les cahiers des charges relatifs aux travaux, planification et coûts. - Participer à l'étude et à la réalisation de modernisation des ANM(s) et au maintien en conditions opérationnelles. - Suivis des travaux et gestion des déchets. - Participer à la politique environnementale du retrait des matériaux dangereux tel que le mercure, l'amiante ou le plomb. - Porter à connaissance de la direction tous désordres pouvant présenter un risque immédiat tant humain que matériel. Qualifications - Compétences techniques : connaissance en génie-civil, chaudronnerie et dessin industriel. - Compétences relationnelles : rigueur, aptitude au travail en équipe. - Diagnostiqueur expérimenté. - Diplômé d'une formation en génie civil niveau bac +2/3. Requirements - Rigueur et Organisation : Essentielles pour garantir le suivi des travaux et le respect de la planification. - Autonomie et Polyvalence : Champs d'interventions variés. - Esprit d'Équipe et Relationnel : Aptitude à travailler en réseau et avec les sous-traitants. Mode d'acquisition - Expérience professionnelle et formations internes CVRH et CEREMA.

Title: Infrastructure Engineer Location: San Jose United States time type: Full time job requisition id: R18515 Job Description: What you can expect The ideal candidate will possess a solid SRE & Automation mindset to transform our operations from reactive ticketing to proactive engineering. You will not just resolve issues; you will code the solutions that prevent them. You can expect to work on a mix of Identity/Auth systems, Cloud Infrastructure, and Observability. Support product teams and AI by building IaC for Identity, Directory Services, and SaaS, while maintaining a unified "Single Pane of Glass" monitoring stack. About the Team We are the engineering engine behind the organization's internal technology. As a modern infrastructure team, we serve as "Customer Zero" for our products, optimizing our cloud footprint while ensuring security and efficiency. We operate with a DevOps/SRE mindset to support a diverse landscape panning AWS, Azure, GCP, and critical SaaS platforms like Okta and Zoom Responsibilities - Architecting and maintaining secure infrastructure across AWS, Azure, and GCP. Manage Identity and Access Management (IAM) flows, integrating Okta, Active Directory, and SaaS applications (Zoom, Google Workspace) to ensure seamless, secure access. - Developing and maintaining Terraform modules and Ansible playbooks to automate the provisioning of cloud resources, Kubernetes (EKS) clusters, and configuration management. - Managing and scale our hybrid monitoring stack. Configuring Prometheus, Loki, and Grafana for infrastructure metrics. - Driving the adoption of ArgoCD to manage infrastructure deployments, ensuring that Git remains the single source of truth for our configurations. - Overseeing the deployment and management of critical SaaS applications, ensuring integration with our Unified Collaboration tools (Zoom, Google, Proofpoint). - Identifying and resolving complex issues across the network, application, and identity layers. You will lead blameless post-mortems and define SLOs to ensure compliance with service-level agreements. What we're looking for - Have 5+ years of experience. BS /MS in Computer Science, MIS, or equivalent engineering experience. - Hold extensive experience creating tools and automation services with Python or Golang. - Possess a solid background in automating infrastructure using standard tools like Terraform, Pulumi, or Ansible. - Own good understanding of authentication security practices (IAM/IGA, MFA, SSO, PKI) and experience managing Okta or similar Identity Providers. - Be experienced administering major cloud platforms (AWS is primary, familiarity with Azure/GCP) an Kubernetes internals. - Have proven ability to implement and tune monitoring stacks (Prometheus, Grafana, ELK/Splunk) to diagnose complex technical issues. - Have experience building pipelines with GitHub Actions/Jenkins and managing deployments via ArgoCD. - Be able to diagnose resolve complex technical issues from the physical/network layer up to the application/session level. Salary Range or On Target Earnings: Minimum: $124,000.00 Maximum: $271,200.00 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value. Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application! Anticipated Position Close Date: 04/14/26 Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the Developer Platform Experience team under Platform Engineering as our next Software Engineer (L3). About the job We are actively recruiting for this role to fill an existing vacancy. This position will help users interact with Twilio’s internal developer platform, manage our software taxonomy and cloud infrastructure inventory, accelerate developer productivity via self-service tools, and drive adoption of engineering best practices throughout the company. In the near term the team is focused on modernization, working to transition away from in-house legacy systems to cloud-native platform solutions. Responsibilities In this role, you’ll: - Develop, test, and deploy backend, frontend, and client-side applications for internal use at Twilio - Collaborate with teammates and guest contributors via peer reviews, planning exercises, and pair programming - Mentor junior engineers as necessary - Write tickets, testing plans, and runbooks for the team, as well as internal documentation for users - Support internal users and ensure system uptime by participating in a 24x7 weekly on-call rotation - Continuously improve Twilio’s internal developer platform interfaces, local development tools, and platform onboarding processes - Independently own medium-sized features, authoring specifications and designs for features of moderate complexity Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: - Ability to work in a remote, async software development environment leveraging GitHub, Jira, Slack, and Zoom - Proficiency in any/all of the following programming languages: Typescript, Python, Go, Terraform, Bash - Experience developing and operating software in an AWS cloud environment - Experience with relational database concepts and operations - 5+ years of full-time job experience in a software engineering role - Experience with Terraform, Kubernetes, and infrastructure-as-code concepts Desired: - Prior experience working with a platform engineering focus in a software engineering organization - Strong opinions on developer experience and local development best practices - Familiarity with front-end web application development and frameworks such as React, Angular, or Vue - Familiarity with internal developer platform frameworks such as Backstage, OpsLevel, Cortex, or Battlestar - Fluency with AI platforms such as Claude, ChatGPT, and/or Copilot to accelerate software development - Experience with SaaS and open source observability tools, such as OpenTelemetry, Datadog, Grafana, and Prometheus Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. The estimated pay ranges for this role are as follows: - CAD $132,640.00 - CAD 1$65,800.00 Target Bonus Percentage is 12.5% Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role: Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Senior ML Infra Engineer, you will work on the core systems that enable rapid dataset generation, training, evaluation and iteration of our most advanced Autonomous Driving models. From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next. You will develop model training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high-performance training platforms you help create. What You'll Do: - Design, implement, and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM. - Drive complex technical projects with strong ownership of implementation, code quality, and system reliability. - Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads. - Work closely with partner teams to ensure platforms meet real-world ML development needs and maximize adoption. - Identify technical improvements and help prioritize platform investments to improve performance, reliability, and developer productivity. - Contribute to a strong engineering culture through high-quality code reviews, documentation, and operational excellence. - Support onboarding and mentoring of junior engineers and interns. What You'll Bring: - 3+ years of experience working on large-scale distributed systems, applications, or ML infrastructure. - Experience designing robust services or frameworks with durable, well-designed APIs. - Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments. - Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure. - Practical experience across the ML development lifecycle, including model training, deployment, and MLOps practices. - Strong cross-functional collaboration skills across teams and organizations. - Strong coding skills in Python or C++. - Interest in autonomous driving and large-scale ML systems. - BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience. Nice to Have: - Experience with distributed training methodologies. - Experience scaling ML training across large GPU/CPU clusters or specialized accelerators. - Familiarity with deep learning frameworks such as PyTorch or TensorFlow. - Experience with performance profiling and training optimization techniques and their impact on model convergence and performance. - Experience with advanced build systems such as Bazel, Buck, Blaze, or CMake. - Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes). Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is $153,200.00 to $234,100.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #GM-AV-1 #LI-CX1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.