• Créer et mettre à jour des modules e‑learning (avec les outils Storyline et K-studio) • Adapter des contenus existants (mettre à jour des fiches mémos sur le SharePoint Galaxie) • Accompagner les utilisateurs dans la prise en main des outils de gestion en particulier en se déplaçant dans les différents sites • Accompagner la chargée de communication et de formation dans l’animation et la mise en place des diverses campagnes d’information • Réaliser une veille simple sur les bonnes pratiques de communication • Communiquer sur les évolutions apportées à la GMAO • Contribuer à la mise à jour des communications sur le Share point de l’unité ISI

Title: Staff Software Engineer - Admin Location: United States Job Description: What We Do At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe. What It’s Like to Work at GoGuardian We are an outcomes-focused learning company with a steadfast focus on improving learning environments, one classroom at a time. Working with us means joining a remote team of diverse, committed, mission-driven employees who are inspired by our vision, dedicated to our customers, and ready to roll up their sleeves. Guardians put their heads together to solve problems, learn together from experiments that fail, and stand together by their work with full accountability. We balance our diligence with an inclusive culture that invites everyone to bring their whole self to work. Join us and learn why “I love the people here” is one of the most frequent comments we hear from Guardians. The Role We’re looking for a Staff Software Engineer to build new and maintain existing products in GoGuardian’s Safety product suite . In this role, you’ll contribute to the full software development lifecycle, from conception, research, definition, scoping, planning, implementation, and testing, to documentation, delivery and maintenance. This position sits on the Admin Team, GoGuardian Admin delivers a single, unified interface for setting filtering policies and reporting across ChromeOS, Windows, and macOS devices. Powerful DNS-protection helps schools comply with CIPA across BYOD, guest networks, and unmanaged devices, all managed from the same dashboard. The ideal candidate is curious, able to manage risk, and driven to deliver quality software. What You'll Do - Collaborate with a cross-functional team toward feature delivery; Working both independently and in pairs/groups with others of varying skill levels - Leverage strong problem solving skills to apply existing knowledge and experience to new problems and creative solutions - Write production-grade code for well-scoped features with the help of code reviewers - Understand, implement and contribute to GoGuardian’s best practices, including style guides, standards, code reviews, documentation management, and operational workflows - Being generally available to work during standard working hours and to participate in an on-call rotation for production application support - Work closely with Product Management to create new features and products. - Lead the application architecture decision making process. - Champion AI adoption across engineering by defining best practices and driving effective use of AI in development workflows to improve velocity, quality, and customer impact. - Continuously experiment with and operationalize AI tools to accelerate innovation, improve productivity, mentor teams on AI usage, and help shape the company’s AI engineering culture and strategy. - Take part in short and long term planning. - Build & operate AWS infrastructure - Monitor and track performance and reliability of our services and software to meet promised SLA - Mentor other developers to increase the overall performance of the team. Who You Are - 8+ years experience as a software engineer of SaaS applications and or working on customer facing products - Competency in one or more languages. Experience with Go, Javascript, React, and MySQL preferred - Competency with Kafka or other Event Sourcing Systems - Direct involvement in shipping at least one production application / product - Experience with monitoring, performance optimization, technical documentation, and unit / integration testing - Up-to-date knowledge of full stack web development languages, libraries, and technology - Writes production-grade code for well-scoped features; integrating feedback from code reviewers - Learns quickly, applies existing knowledge to new challenges and is building proficiency in relevant technical skills - Confident in making technical decisions and explaining the reasoning behind them - Have deployed software utilizing AWS, Terriform, Kubernetes, Docker, and/or other similar technology. - Can drive automation adoption and enhancement in areas such as Test Automation, Github Runners, CI/CD platforms, and other automation platforms - Can drive change beyond the scope of the team. Nice to Have - An interest in Machine Learning and AI technology What We Offer - Competitive pay, complete health insurance, 401(k) matching, and an employee equity plan. - Flexible time off, paid holidays, paid parental leave, and a paid year-end holiday break. - A robust catalog of benefits that support your professional growth and personal wellbeing, including work from home funds, fertility & adoption reimbursement, and more… Plus the intangible - A varied and challenging role in an innovative, global company. - Supportive, driven colleagues who have your back and share your passion. The typical base salary range for this position is $190,000 - $205,000 per year. The range displayed on this job posting reflects the minimum and maximum target for new hire base pay for this position and your pay will be determined by a variety of factors, including your primary work location, skills, qualifications and experience. Additional benefits information is listed on our careers page. Please share this with your friends or co-workers who may be interested in working at GoGuardian! We have multiple openings and are always looking for talented people. GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law. GoGuardian's Job Applicant Privacy Policy is located here. #BI-Remote

• Collaborate with your engineering team on the design, development, and testing of features in Celonis’s cloud product. • Write clean, well-structured code using our modern tech stack, which includes Angular, Spring Boot, C++17, and Kubernetes. • Contribute to real product work — not toy projects — with ownership of specific features or components. • Work closely with senior engineers and your mentor to grow your technical skills and broaden your understanding of large-scale software systems. • Participate in code reviews, standups, and team rituals to get a full picture of how high-performing engineering teams operate. • Explore and contribute to open-source code and projects where applicable. • Bring curiosity and fresh perspective to the table — your ideas are welcome here.

Role Description Join the Chief Digital Office (CDO) as a Director of AI/ML Engineering within our Consumer Engineering division. This team is at the forefront of transforming the healthcare experience by building intuitive, data-driven digital products that empower our members. In this role, you will lead the technical vision for AI-driven consumer solutions, leveraging innovative machine learning techniques to personalize health journeys and improve outcomes. You will lead a high-performing engineering team to deploy scalable, high-impact AI models that drive the next generation of digital healthcare. You’ll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Integrate enterprise AI tools, set AI goals in development plans, and align hiring with AI competencies, actively removing barriers to accelerate adoption. - Champion the ethical use of AI by embedding transparency, fairness, and accountability throughout the entire AI lifecycle. - Strategically use AI to solve problems, unlock opportunities, and deliver tangible business value. - Champion AI as a core driver of the team's success and proactively shape how that AI is developed, deployed, and utilized. - Direct the engineering strategy for large-scale AI/ML initiatives, ensuring alignment with Consumer Engineering goals. - Oversee the end-to-end development, deployment, and optimization of machine learning models in a production environment. - Mentor and grow a team of AI/ML engineers, fostering a culture of technical excellence and continuous innovation. - Collaborate with senior CDO leadership to prioritize roadmaps and allocate resources effectively. Qualifications - Bachelor’s degree or equivalent experience. - 10+ years of professional experience in technology engineering. - 5+ years of experience specifically in AI/ML engineering, including the development and production of models. - 3+ years of experience in a leadership or management capacity, overseeing technical engineering teams. - Proven track record of deploying large-scale AI/ML models into a consumer-facing production environment. - Expertise in the software development lifecycle (SDLC) and MLOps principles. Requirements - Advanced degree (Master’s or PhD) in Computer Science, AI, Data Science, or related fields. - Specific expertise in Generative AI, recommendation engines, or Natural Language Processing (NLP). - Experience with cloud platforms such as Azure, AWS, or GCP for AI/ML workloads. - Solid proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow). - Exceptional communication and stakeholder management skills. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.