Security Scientist Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Firmware & Product Test (FPT) team at Micron Technology holds a pivotal role in validating firmware specifications for SSDs. The team develops comprehensive verification plans, implements them using Python, and ensures strict alignment to NVMe standards and security protocols. Validation occurs across multiple environments, including simulation, FPGA prototyping, and prototype hardware. Summary of the Role The Engineer (E4) in the Firmware & Product Testing (FPT) team supports the validation of enterprise SSD firmware through test development, automation, execution, and failure analysis. This role focuses on NVMe front-end features and customer specifications while applying Python-based automation and data-driven techniques to improve test efficiency and product quality. Working closely with firmware test engineers, senior mentors, and data scientists, the engineer gains hands-on experience at the intersection of firmware validation and AI/ML, contributing to more effective and scalable testing methodologies. Responsibilities: Develop and implement firmware verification plans for customer requirements and NVMe protocol features, including SMART, Trim, Get Log Page, and OCP Analyze regression and validation failures, perform root-cause analysis, and communicate findings and mitigation plans Develop and enhance test automation, reporting, and data-collection tools within established validation frameworks Leverage AI-assisted tools, LLMs, and agent-based solutions

Who We Are Simpplr is the AI-powered intranet for unifying the digital workplace. It brings people, trusted knowledge, apps, and agents into a coherent digital experience. Powered by a proprietary EX Knowledge Graph, Simpplr synthesizes signals and context across connected systems to deliver personalized information and actions. The platform serves as a digital hub supporting communications, engagement, employee services, and work. With low-code extensibility and enterprise-grade security and governance, Simpplr enables confident operation at scale. More than 1,000 organizations — including AAA, the NHS, Penske, and Moderna — trust Simpplr to keep their workforce informed, aligned, and productive. Learn more at simpplr.com . The Opportunity We're looking for a highly skilled Senior Product Manager – Enterprise Search to join our Product Management team . In this role, you'll own the strategy, definition, and execution of enterprise search across Simpplr — powering both Magnus (our AI assistant) and the Simpplr platform. You'll shape how employees find the right knowledge, content, and answers across the entire enterprise, quickly, accurately, and securely. Search is the connective tissue of the employee experience: it is what makes Magnus's answers trustworthy and what makes the Simpplr platform feel intelligent. You'll be responsible for the end-to-end search experience — from how content is ingested, chunked, and indexed, to how it is retrieved, ranked, and grounded into high-quality, permission-aware answers via retrieval-augmented generation (RAG). You'll work closely with AI engineers, search/ML engineers, data scientists, designers, and cross-functional teams to deliver a search foundation that is fast, relevant, and enterprise-grade. This role requires strong technical fluency in modern search and AI concepts — indexing, chunking, embeddings, vector and hybrid retrieval, ranking, and RAG — along with the product judgment to translate them into measurabl

Location - Bangalore About the Team : The Platform Product team at Meesho is the backbone of our product ecosystem, empowering functions across product, business, analytics, tech, and data science. By building scalable platforms and tools, we enable teams to make data-driven decisions, accelerate development cycles, and enhance productivity. Our key focus areas include Data Acquisition, Analytics Tools, Experimentation, Segmentation, Payouts, Security, Reporting and so on, which support critical functions of Meesho About the Role : As a Platform Product Manager, you will own and drive one or more product charters within the Platform Product charter. Your role will be pivotal in enabling Meesho’s growth by ensuring seamless cross-functional collaboration and delivering impactful technical solutions. You will work closely with product managers, engineers, analysts, and data scientists across the organisation to turn complex ideas into actionable products.We’re looking for strategic thinkers passionate about building platforms that solve large-scale challenges. We want to hear from you if you are a self-starter, excel in driving initiatives independently, and thrive in dynamic environments.

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Identity Threat Protection Team Identity Threat Protection (ITP), powered by cutting-edge Okta AI, shatters the mold of traditional login security. We deliver real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers. Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We are not just redefining cloud authentication—we are engineering the next-gen security platform that continuously evaluates global threats and constructs a comprehensive, dynamic risk . ITP stands as the uncompromising guardian of trust and security, placing decisive risk prioritization at the core of every authentication and authorization decision. Identity Threat Protection with Okta AI The Staff Software Engineer Opportunity Okta is seeking a Staff Software Engineer to be a driving force on the ITP engineering team. This is your chance to dive into the deep end and solve the most critical and complex security challenges facing enterprises today. We seek a candidate who has not just experience, but a proven record of designing, building, launching, and scaling world-class security products —from concept to global deployment. You will be a technical cornerstone of a team that lives and breathes elegant solutions and

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Join the AI-Native Authoring team and help shape how data scientists, analysts, engineers, and AI developers build on Snowflake. From SQL to python, and from Workspaces to our VS Code extension, our team owns the highest impact workloads and surfaces across Snowflake. We even own Snowflake Notebooks end to end, including the notebook service backend, container runtimes, and interactive, Jupyter-based experience our customers work in every day. Our team is at the center of delivering a profound AI and application-development platform, delivering secure, reliable, reproducible compute environments with a delightful and intuitive editing experience layered on top. These serve all of our customers, including our most critical security-sensitive customers running in regulated and air-gapped deployments. If you're excited by deep backend systems and delivering polished customer-facing experiences across the full stack, we invite you to be part of our team's success story. AS A SOFTWARE ENGINEER YOU WILL: Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend. Own and deliver features across the notebook service, container runtimes, and UI — designing and shipping medium-to-larg

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds specialized models that replace frontier models where they are not necessary, making AI capabilities faster, cheaper, and more secure. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As a Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on cost-efficient specialized models and AI security capabilities Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quality, latency, cost, and safety considerations. Drive evaluation and iteration practices for AI systems: define the quality bar and guide the team in building the offline

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you'll do Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance. Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions. Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications. Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms. Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business. Ensure compliance with industry standards and best practices in AI/ML. What's required Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software/AI/ML engineering, with a proven track record of successful delivery of complex, production-grade systems. Demonstrated experience building large-scale enterprise-grade services with high reliability, availability, and observability (SLO/SLA-driven en

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. What you will be doing? We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems. Key Responsibilities Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs. Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices. Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines. Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives. Mentorship: Lead project workstreams and

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-sc

Who are we? Artefact is a global leader in data and AI consulting, helping organizations transform data into measurable business impact. We combine deep expertise in data, artificial intelligence and digital transformation to solve complex business challenges and accelerate innovation. With 1,700+ experts across 25+ offices worldwide , Artefact supports leading international companies in designing and deploying cutting-edge data platforms, AI solutions and cloud architectures that create long-term value. At Artefact Casablanca , you'll join one of our fastest-growing hubs, working alongside highly skilled Data Engineers, Data Scientists, Analytics Consultants and Cloud Experts on ambitious international projects. Our culture is built around excellence, collaboration, continuous learning and entrepreneurship. If you are passionate about technology, leadership and delivering business impact through data, we'd love to meet you. Your Role As a Manager Data Engineering , you will play a strategic role in delivering large-scale Data & AI transformation programs while leading and growing high-performing engineering teams. You will combine technical expertise, people leadership and client engagement to build modern, scalable and cloud-native data platforms. Your Responsibilities Lead Data Engineering Projects Lead the design and delivery of modern cloud data platforms. Define scalable architectures aligned with business and technical requirements. Ensure engineering excellence, code quality, security and performance. Drive best practices across Data Engineering, DevOps and MLOps. Manage & Grow Teams Lead, mentor and coach a team of Data Engineers. Support consultants in their technical development and career progression. Foster a collaborative, high-performance and knowledge-sharing culture. Participate in recruitment, onboarding and capability building. Partner with Clients Act as a trusted advisor for clients throughout their data trans

Become a part of our caring community Help shape practical, responsible AI solutions that improve healthcare experiences and outcomes. Humana’s Enterprise AI organization develops safe, scalable AI solutions across our Insurance and CenterWell businesses. We bring together product managers, data scientists, engineers, policy experts, and business leaders to apply emerging technology to meaningful healthcare challenges. As Associate Director of Applied AI, you will lead teams that design, build, and deploy enterprise AI solutions, with a focus on generative AI and intelligent agents. You will connect technical strategy to business needs, guide responsible delivery in a regulated environment, and help teams turn promising ideas into measurable outcomes for members, patients, and associates. Key Responsibilities Lead and mentor teams developing production-ready AI solutions that improve healthcare delivery, member experiences, and business operations. Help define and execute the roadmap for applied AI initiatives in alignment with enterprise priorities and business needs. Guide the evaluation and adoption of machine learning, generative AI, large language models, multimodal models, and intelligent agent technologies. Oversee scalable APIs, frameworks, data pipelines, retrieval-augmented generation solutions, and agent orchestration capabilities. Partner with product, data science, engineering, architecture, security, and business teams to translate requirements into reliable solutions. Establish standards for AI evaluation, obse

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II (Java/Spring) Job Overview: As a Software Engineer II, you will: • Design, develop, test, and maintain backend services, APIs, and integration components that support business and technology capabilities. • Build secure, scalable, and maintainable software solutions using modern engineering practices. • Develop and support RESTful APIs, service-to-service integrations, and data exchange patterns across internal platforms. • Collaborate with product owners, architects, software engineers, data engineers, and data scientists to translate requirements into technical solutions. • Participate in design discussions, code reviews, testing, and release activities to ensure high-quality software delivery. • Apply secure coding, logging, monitoring, and operational readiness practices throughout the development lifecycle. • Troubleshoot production issues, perform root cause analysis, and contribute to long-term improvements in reliability and supportability. • Contribute to automation, CI/CD pipelines, and engineering process improvements that reduce manual effort and improve delivery speed. • Follow Mastercard technology, security, privacy, and compliance standards in the design and implementation of solutions. Essential Skills & Experience • 3+ years of h

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Identity Threat Protection Team Identity Threat Protection (ITP), powered by cutting-edge Okta AI, shatters the mold of traditional login security. We deliver real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers. Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We are not just redefining cloud authentication—we are engineering the next-gen security platform that continuously evaluates global threats and constructs a comprehensive, dynamic risk. ITP stands as the uncompromising guardian of trust and security, placing decisive risk prioritization at the core of every authen

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Platform Operations & Compliance team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create customer value. We execute complex customer integrations to create and customise data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while supporting reliability, release, cost and control obligations that come with operating big-data pipelines for public sector customers. The Platform Operations & Compliance team works closely with customers, as well as our internal Engineering, Machine Learning, InfoSec and Product organisations. In this role, you will: Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base Support platform reliability, cost and controls and support customer security reviews and accreditations Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. Work in a cross-functional team of engineers, data scientists, and product managers Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes owners

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. AS A SENIOR TECHNICAL PROGRAM MANAGER — ML/AI, YOU WILL: Own and drive complex, cross-team ML/AI programs end-to-end — from scoping and planning through execution and launch — across model infrastructure, inference pipelines, AI functions, Cortex AI services, and AI-powered application features Partner with ML Engineers, Research Scientists, Product Managers, and Engineering Leaders to define program roadmaps, surface dependencies, and build execution plans that account for the unique uncertainty and iteration cycles inherent to ML/AI development Coordinate cross-org launches for AI features that span ML infrastructure, application surfaces (Streamlit, Notebooks, Cortex Code), and core platform — ensuring all teams ship cohesively and on time Navigate the ambiguity of AI development — adapt program structures to handle model experimentation cycles, evaluation gates, accuracy/latency tradeoffs, and the non-linear nature of ML research-to-production timelines Establish program governance and reporting cadences — track milestones, risks, decisions, and engineering health with clarity and rigor, and proactively escalate to leadership when programs need intervention Drive cross-functional alignment between ML/AI engineering, product, design, infrastructure, security, and legal/c