Collecting information
Organizing data
Seeking talented people to secure infrastructure supporting operational technology including robotics, automation, and embedded devices and removing security risks through formal, deep dive assessment activities and implementing controls. Ownership of Network Security Decisions for solutions including robotics, automation, and embedded devices. 5+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience.. CCSP (Certified Cloud Security Professional) or CEH (Certified Ethical Hacker) or CFR (CyberSec First Responder) or Cloud+ or CySA+ (CompTIA Cybersecurity Analyst) or GCED (GIAC Certified Enterprise Defender) or GICSP (Global Industrial Cyber Security Professional) or PenTest+.. Knowledge of industrial ethernet protocols ( CIP, PROFINET, EtherCAT ) and related technologies used in material handling equipment and fulfillment automation.
Backed by prestigious investors like General Catalyst, Founders Fund, and Lux Capital, they're making waves in both commercial and government aerospace and defense sectors, including direct collaboration with the Department of Defense. Their rockstar team brings together brilliant minds from SpaceX, Palantir, Anduril, Lockheed Martin, and NASA, all united by a common mission: making it faster and easier for hardware engineers to push technological boundaries safely and efficiently. Their platform is a game-changer for engineering teams, accelerating test data review and analysis while scaling testing campaigns to save time and cut costs. Empower Engineering Velocity Be the hero who ensures the growing engineering team can move quickly and safely by building and improving DevOps and cloud infrastructure systems. AWS cloud infrastructure (required), Azure (nice-to-have)
Optimizing validation processes for cloud and app software, implementing automation, load, and stress testing strategies.. Leading the transition to a unified, scalable IoT cloud ecosystem, optimizing for performance, cost, and security.. Deep expertise in Azure, microservices, SaaS, DevOps, CI/CD, agile practices.. Certifications in Agile (SAFe, Scrum), TOGAF, AWS/Azure, DevOps.. Resideo is a global provider of critical home security and comfort solutions, serving over 150 million homes.
Industry knowledge in job search services, HR technology, or the energy sector is a plus.. As a seed-stage startup with strong momentum, we’re proud of our growing industry partnerships — including with the American Association of Professional Landmen (AAPL) — and recognition from industry publications such as NAPE Magazine.. Experience with project management frameworks (Agile, Scrum, Kanban, or hybrid approaches).. Industry experience in job search services, HR technology, or energy sector solutions.. Familiarity with SaaS platforms, cloud infrastructure (AWS, Azure), and enterprise software integrations.
Scout and integrate innovative technologies, ensure robust infrastructure and cybersecurity measures, and lead enterprise architecture (EA) activities. Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!. Lead, develop, and socialize solutions for cloud migration, application migration, and cloud data security. Knowledge of other cloud providers (AWS, GCP, OCI) is a bonus. Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect) are a plus.
MNTN is seeking a visionary and highly experienced Principal Architect, AI to lead our team focused on revolutionizing campaign performance and inventory cost optimization through cutting-edge machine learning initiatives. Define and champion the technical vision and architecture for MNTN's Machine Learning initiatives, including campaign performance prediction, optimization, and inventory cost management.. Partner with data engineering teams to ensure data quality, integrity, and accessibility for training and model development.. Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques. Significant experience with cloud computing platforms (e.g., AWS, GCP, Azure).