Security Assistant Account Manager Jobs

Join NVIDIA, a company with over 25 years of experience advancing visual technology, personal gaming platforms, and high-performance computing! We have pushed innovation through our innovative technology and talented team. As we expand into AI's vast possibilities, we need a Senior Security Engineer, Architecture Patterns to build the future of computing. In this role, you will be involved in the latest AI developments, uphold security standards, and contribute to powerful projects alongside top talent in Santa Clara, CA. Join us! What you'll be doing: Develop shift-left solutions that embed security standards directly into AI-generated code, ensuring constraints, scaffolds, rules, and guardrails are applied during the coding process rather than post-shipment. Convert written security standards into machine-enforceable formats, enabling programming assistants and pipelines to apply them seamlessly without manual interpretation. Engineer verification workflows that confirm generated code meets claimed standards, providing evidence for downstream release gating and policy enforcement. Maintain and evolve evaluation harnesses, reference repositories, known-bad cases, and encouraged findings to ensure constraint-steered agents produce conformant code amid changing models, patterns, and tooling. Convert approved architecture patterns into secure, runnable reference implementations, such as templates, Helm charts, container images, and worked examples, ensuring their reliability as platforms evolve. Elevate AI solutions from prototypes to enterprise-grade products, focusing on versioning, observability, latency and cost budgets, access control, audit, graceful failure, and a detailed support and deprecation model. Set the enterprise-grade architecture standards for AI tooling in a security context, determining qualification criteria and monitoring adoption and outcomes to ensure effic

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: ABOUT ABBOTT Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. This position works out of our Columbus, Ohio plant location in the Abbott Nutrition Division. Our Nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow to keeping adult bodies strong and active. Millions of people around the world count on our leading brands – including Similac®, PediaSure®, Pedialyte®, Ensure®, and Glucerna® – to help them get the nutrients they need to live their healthiest lives. The Columbus Plant is Abbott’s first manufacturing facility in the world, making us a leader in science-backed nutrition products. Working here, you’ll be part of a family that works together to produce quality products that make a difference and help keep consumers nourished at every stage of their lives. WORKING AT ABBOTT At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Production areas that are clean, well-lit and temperature-controlled Training and career development , with onboarding programs for new employees and tuition assistance Financial security through competitive compensation, incentives and retirement plans Health c

Atlas HXM is the global workforce platform built on compliance. We help companies determine how to engage each member of their workforce and then execute with accountability built in — direct Employer of Record (EOR), Agent of Record (AOR), payroll, and compliance capabilities backed by a decade of practitioner-led expertise. Recognized as a category Leader by NelsonHall and Everest Group, Atlas HXM builds Human Experience Management into everything we do, guided by our "For People, by People" principle. The future of work is borderless, and so are we. Our people are located around the globe — in the U.S., the UK, India, Colombia, China, and beyond. Diversity and belonging are not just values; they are who we are. We are also committed to making a positive impact. Through our Environment, Social, and Governance (ESG) impact initiative, we are addressing our environmental footprint and promoting social responsibility. Our impact program is central to our vision and culture, focusing on employee wellness, diversity, charitable work, and ethical corporate governance. Role Overview We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization. As part of the Information Security team, you will build and secure the platforms, processes, and governance that enable developers and business teams to safely leverage artificial intelligence. You'll work at the intersection of AI, application security, cloud security, and DevSecOps. This role is ideal for someone who thrives on emerging technologies, understands how modern platforms connect through APIs and automation, and can translate security requirements into scalable, developer-friendly solutions. Key Responsibilities Design and implement secure architectures for enterprise AI platforms, AI assistants, AI APIs, and AI-enabled applications. Build and maintain a secure AI sandbox environment supporting experimentation and responsibl

About the Team & Role The Platform Security Engineering team builds the security features and frameworks that every Rubrik product runs on protecting hundreds of petabytes of data across thousands of enterprise customers globally , from encryption and certificate management to access control and platform hardening at scale. We're a small team with massive impact: the problem space covers the entire Rubrik portfolio, from performant core backend architecture to the AI-powered engineering workflows we and the rest of Rubrik now build with daily. This is a strong opportunity for new grads and early-career engineers who want real ownership on security-critical systems. You'll help solve problems like: How do we roll out post-quantum cryptography across the backup data path before it's an industry requirement? How do we let customers manage sessions and access against compromise, at enterprise scale? How do we build an access control engine that holds up against dynamic, customer-defined policies unique to a data management platform? How do we secure the AI agents and agentic developer workflows that are now embedded in how Rubrik engineers ship code? You'll work alongside experienced engineers and deeply technical managers who will mentor you as you grow, on a roadmap with genuine business impact. What You'll Do Security feature development Design and steer AI to write clean, well-tested code in Go, Scala, or Python for scalable, secure platform services. Collaborate with senior engineers on system design and architecture decisions. Identify attack surfaces and build solutions to harden Rubrik products. Triage, debug, and drive product/system issues to resolution with clear ownership. Use AI coding assistants and agentic workflows as a core part of your daily engineering, while learning to treat AI-generated code as untrusted input that gets the same security scrutiny as any other contribution. Security code and design reviews Review code and design docs from

We are seeking a Senior Security Engineer to join our growing security team. As we continue building AI-powered services that deliver tremendous value to our customers worldwide, and given the rapid pace of our business growth, we are looking for experienced and capable talent to strengthen cybersecurity across all stages of product development and to collaborate closely with our software engineering teams. You will also play a key role in driving information security initiatives and integration efforts across the group, including addressing the emerging risks introduced by rapid advancements in AI technologies. Responsibilities Design, implement, and maintain secure CI/CD pipelines with automated security controls (SAST, DAST, SCA, secrets scanning, and IaC scanning) integrated into development workflows Establish and drive the Secure Software Development Lifecycle (SSDLC), ensuring security is embedded at every stage — from design and threat modeling through deployment and runtime Define and standardize security requirements analysis and threat modeling practices to identify risks during the design phase Develop Policy as Code solutions to enable automated compliance and governance checks Conduct pre-production security assessments, vulnerability assessments, and penetration testing Implement security best practices for Infrastructure as Code (IaC) and cloud-native environments Build and maintain security monitoring, log aggregation, and alerting systems to support detection and response Create security deployment checklists and continuously improve production environment security posture Assess and mitigate emerging risks introduced by AI technologies, including risks related to LLM applications, AI agents, prompt injection, data leakage through AI tools, model supply chain, and AI-assisted development workflows Partner with engineering teams to evaluate, adopt, and govern AI-powered development tools (e.g., AI coding assistants, AI agents) in a secure and compli

We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running continuously at scale on shared accelerated compute. They take on real work across enterprise systems, so people get far more done than they could before. This role defines the constructs that agents are built from: the blueprints they start from, the tools, skills, and plugins that power them against enterprise data, the runtime safety harness that keeps them in bounds, and the connections into credential management, sandbox, memory, and observability. The team designs and ships these building blocks so that agent developers across the company can stand up a new agent, wire it in, and run it for days or weeks. Security and safe execution come out of the box, not something each team has to get right on its own. Today an agent runs inside a single harness. Claude, Codex, and open-source agent harnesses each work differently underneath, with their own execution model, tool interface, and telemetry shape. The platform smooths over those differences, so a single skill, safety policy, or trace works the same no matter which harness is running. We want to enable agents that act on a person's behalf, governed and secure, continuously evaluated and self-improving. These agents coordinate and hand work off to each other, with identity and policy following every hop. They route and tune themselves across harnesses from live eval signals, and get better from their own production telemetry instead of waiting on a human to retrain them. Have you run agents on a harness like Claude or Codex and hit the walls that show up when they run for real, for days, against live systems — and wanted them to learn from it on their own? We're building the platform that solves those problems once, for every team. What you'll b

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

LOCATION : This will be a hybrid role (1 day a week) working out of our San Carlos, CA location. POSITION SUMMARY: Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D operations data science is to support R&D activities at Natera through data analytics and the development of intelligent tools to optimize workflows and processes. As a Senior Data Analyst on the team, you will play a pivotal role in designing, prototyping, and building out a modern, next-generation AI analytics platform to phase out legacy reporting infrastructure. In this role, you will leverage AI developer tools (e.g., Claude Code, Gemini) to significantly accelerate design, scripting, and platform prototyping. However, speed must be paired with engineering rigor: you must possess deep foundational technical expertise to critically review, audit, validate, and refine all AI-assisted output, ensuring production-grade code quality, data accuracy, and system reliability. PRIMARY RESPONSIBILITIES: Platform Design & Rapid Prototyping: Lead the effort in architecting, iterating, and building out a new R&D analytics platform. Rapidly prototype scalable analytics solutions and modern self-service data tools AI-Accelerated Development & Rigorous Validation: Proactively utilize advanced AI tools (including Claude Code, Gemini, and coding assistants) to accelerate development cycles, automate repetitive coding tasks, and speed up platform prototyping. Thoroughly review, debug, unit-test, and validate all generated code and analytics logic for correctness, security, and efficiency Data Pipeline & SQL Engineering: Extract, clean, transform, and model complex multi-source R&D data. Develop and optimize high-performance custom SQL queries and partner with Data Engineers to enhance database scalability and platform performance Analytics & Insight Generation: Translate operational requirements into act

Job Details: Job Description: Intel's Design Quality and Reliability organization is seeking an AI Platform Engineer to architect and build an enterprise-grade AI platform for mission-critical engineering work. This platform will enable Intel engineers to analyze complex design, qualification, and reliability data; automate engineering workflows; access organizational knowledge; and make faster, evidence-based decisions throughout the product lifecycle. The successful candidate will combine strong software engineering fundamentals with expertise in AI-native and agentic development. They will be highly proficient with Agentic AI coding assistants and able to use these tools responsibly to accelerate architecture, implementation, testing, debugging, and documentation. This role requires close collaboration with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security, and other Intel stakeholders. Responsibilities 1. Architect and develop Intel's reusable AI platform for Design Quality and Reliability. 2. Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation. 3. Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation. 4. Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools. 5. Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components. 6. Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability. 7. Implement human approval, deterministic validation, and rollback controls for consequential engineering actions. 8.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. About the Role We are looking for a Junior Software Engineer who is comfortable working across the full product development stack, including frontend, backend, and AI-powered features. In this role, you will build internal tools, automation platforms, data-driven products, and AI-enabled workflows. You will work on user-facing interfaces, backend services, APIs, data integrations, and LLM-powered capabilities. We are looking for someone who can move fast, learn quickly, and use AI tools effectively to deliver end-to-end product features. This is not a pure frontend or pure backend role. We value engineers who can take ownership of a feature from requirement understanding to UI implementation, backend logic, AI integration, testing, and iteration. Responsibilities Build and maintain end-to-end product features across frontend, backend, and AI/LLM components. Develop user interfaces for internal tools, dashboards, AI assistants, automation workflows, and productivity platforms. Build backend services, APIs, data pipelines, task workflows, and integrations with internal or external systems. <li style="list-style-

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and