Role Description The successful candidate will be an Engineer, with broad experience in aspects of the discipline that are relevant to the medical device domain, e.g., safety testing, design, and manufacturing, etc. They will provide scientific, technical, product development, product validation, and sustaining engineering advice as part of regulatory review of medical devices, with specific attention to premarket submissions. Such submissions include Premarket Notification (510(k)), Premarket Approval Application (PMA), etc. - The candidate should have demonstrated experience as a systems engineer or product development engineer, as relevant to medical devices. - Expertise in areas of requirements and design input, risk management, verification and validation, cross-functional coordination, quality and documentation should be evident. - The candidate should be familiar with applicable industry standards and regulatory requirements, such as, but not limited to: - FDA Guidances (Appropriate Use of Voluntary Consensus Standards in Premarket Submissions for Medical Devices) - US regulatory standards (21 CFR Part 820 -- Quality System Regulation) - ANSI standards (ANSI/AAMI/ISO 14971: Medical devices - Applications of risk management to medical devices) Qualifications - The candidate must possess a bachelor’s degree (BS) in engineering. - An advanced degree (MS, PhD) in a related/applicable field is strongly preferred. - 10 years of experience is required. - Experience with directly supporting FDA 510(k) and related regulatory submissions is preferred. - Exceptionally strong written and verbal communication skills. - Ability to communicate well with others using excellent written and verbal communication skills. - Excellent interpersonal skills, with the ability to effectively work both independently and within a team of technical personnel. - Proficiency with Microsoft Office Suite (Outlook, Word, Excel, etc.). Requirements - The primary focus of the role is to support analyses of medical devices relative to regulatory and technical aspects of engineering. - Provide consultation related to supporting medical device reviews (EUA, 510(k), PMA, IDE, Combination Devices, and De Novo marketing applications, Pre-submissions). - Participate in meetings and teleconferences; coordinate meetings with internal and external stakeholders. - Develop written reviews and correspondence. - Write detailed documents and reports. Benefits - Full Time Employee. - Schedule: Monday through Friday (No Holidays). - Location: This position is 100% telework. - Must be a US Citizen or a full Green Card holder.

• Partner with the CTO and Product/Business leaders to define and execute a 3-year technology strategy • Build and lead a high-performing engineering organisation, including a strong leadership tier • Own engineering delivery across multiple product areas and platform capabilities • Build & lead a high-performing engineering team • Work closely with C-Level stakeholders to guide & support technical decisions aligned to their strategy & goals

Role Description The Security Platform Delivery and Success team is responsible for building core capabilities that power Elastic’s next-generation security experiences. Our focus is on delivering context-rich solutions that enhance security insights across the platform, owning the onboarding process for all security customers and helping users understand their estimated costs. As a Senior Software Engineer on the Security Platform Delivery and Success team you will help: - Design and implement features that power Value Reports, AI powered Inboxes, Guided onboarding for all of the Security products. - Build and evolve APIs that correlate entities, findings, signals, and configuration data into coherent security stories. - Develop scalable, high-performance systems within the Elastic ecosystem and cloud-native environments. - Own the reliability, observability, and operational health, from design to production. - Collaborate with product, design, and other engineering teams to refine requirements and deliver impactful, user-centered solutions. - Write production-grade code in TypeScript/Node.js (and potentially other languages) as part of a high-quality, well-tested codebase. - Participate in code reviews, technical design discussions, and ongoing improvements to engineering practices. Qualifications - Solid programming experience in Javascript/TypeScript with a particular emphasis on React.js and Node.js frameworks. - Experience designing and implementing APIs, data models, and services that support rich application workflows. - Ability to take ownership of problems end-to-end: from clarifying requirements and proposing designs to delivering, monitoring, and iterating in production. - Comfort working in a distributed, async-first environment and collaborating with colleagues across time zones. - A proactive mindset: you ask the right questions, challenge assumptions, and look for ways to improve both product and engineering processes. - Strong communication skills and the ability to explain complex technical topics to both technical and non-technical partners. Requirements - Familiarity with Kibana or Elasticsearch. - Contributions to open source. Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Minimum of 16 weeks of parental leave.

• This internship offers a unique opportunity to work at the intersection of Document Verification (DocV), Digital Intelligence (DI), fraud detection, and behavioral analytics. • The core focus is on exploring how behavioral and device signals—such as interaction timing, motion data, and environmental context—can be leveraged to better understand user sessions and strengthen fraud detection systems. • The successful intern will evaluate, prototype, and demonstrate how these signals can improve decisioning accuracy, enhance system robustness, and be integrated into DocV and RiskOS workflows. • You will not just observe; you will build, analyze, and deliver a portfolio-ready prototype that informs future detection and risk capabilities. • Data Instrumentation & Collection - Instrument code to collect behavioral and device signals. Deliver a clean, structured dataset. • Signal Analysis & Feature Engineering - Analyze data and engineer features. Deliver analysis showing signal impact. • Detection Prototyping - Develop detection or scoring logic. Deliver a working proof-of-concept with metrics. • Integration & Documentation - Map integration points and document findings. Deliver technical documentation and presentation.