Senior Detection Analyst Jobs

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Le

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Le

About the team The Incident Ops team is a global 24/7 team responsible for driving incident response and management from detection to resolution. Stripe is proud of its five 9s reliability and this team is at the forefront of ensuring we keep it that way - working hand-in-hand with Reliability Eng and across the Tech Org. This team of incident response managers (IRM) is defined by our sense of ownership and how we drive incidents to resolution - marshaling the necessary cross-functional resources to respond to and resolve service outages, critical bugs, security attacks and anything that significantly impacts the users of our products. The team is user-first and ensures appropriate external communications from Stripe and senior management to keep our users informed of disruption to their experience of Stripe. The team is skilled in communications, incident handling and technical adeptness as incidents can arise from anywhere and cut across products and orgs in Stripe. What you’ll do As an Incident Response Manager (IRM), you’ll play the key role in driving the right level of response from Stripes to incidents, determining impact, rallying Stripes to mitigate, communicating to users and ensuring appropriate remediations and orchestrate the Root Cause Analysis (RCA) process. You’ll work hand-in-hand with IRMs and engineers globally to ensure solid 24/7 coverage on how we monitor, detect, respond, communicate and mitigate incidents. When not managing incidents, you'll help scale our ability to respond to incidents, improve our operations, analyze data to provide insights and deepen our technical expertise in products. As a result, you’ll be seen as the protector of our users - in minimizing the impact of incidents on their business and ensuring that Stripe is always thinking of our users. Responsibilities Act as an on-call Incident Commander, responsible for driving and managing incident resolution with a high level of urgency, cross-functional collaboration, and accur

P-1125 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. The customer's journey on our platform starts with Authentication. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Craft and execute a long-term north-star vision for Authentication that balances uncompromised security with a frictionless user experience. Recruit and mentor top-tier engineering talent to scale our security infrastructure. Act as the voice of Security Engineering across the organization, driving data-driven decisions at the executive level. Databricks’ security innovations at major academic and industry conferences. What we look for: 10+ years of experience in Data Security or related areas and expertise in two or more of the following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experi

P-1125 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. The customer's journey on our platform starts with Authentication. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Craft and execute a long-term north-star vision for Authentication that balances uncompromised security with a frictionless user experience. Recruit and mentor top-tier engineering talent to scale our security infrastructure. Act as the voice of Security Engineering across the organization, driving data-driven decisions at the executive level. Databricks’ security innovations at major academic and industry conferences. What we look for: 10+ years of experience in Data Security or related areas and expertise in two or more of the following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experi

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Principal Engineer, you will be a senior technical authority who owns complex validation scopes, optimizes test flows, and leads technical problem solving for next generation HBM products. You’ll drive coverage completeness, improve detection efficiency, and mentor junior engineers—ensuring flawless product readiness through deep platform, Verilog simulation, and analysis expertise. Key Responsibilities Validation Execution Lead end‑to‑end Validation Run execution in a high‑pressure, fast‑paced environment , ensuring on‑schedule starts/completions , risk‑aware re‑plans , and efficient IQP/ETV material usage . Own time‑bound data crunching pipelines (automated log parsing, metrics aggregation, anomaly ranking) and deliver decision‑ready summary reports and sightings by agreed Cycle Time. Guarantee coverage completeness across MBIST and flows; drive Hot/Cold corners , TSV screen/AQLK , async timing boundary coverage, and evidence‑backed closure . Platform Leadership Develop and debug test programs on SM3/Cobra and Advantest V93K ; enforce code quality, reviews, and r

P-211 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. We are hiring a Staff Software Engineer for the Access Management team at Databricks, based in Bellevue, WA. Access Management owns the access-gating systems at the core of the Databricks platform – the services that decide, for every user, application, and automated workload, what they are permitted to do. You will set technical direction for the Bellevue engineers and partner with our Mountain View technical lead on a team distributed across both sites. What you'll work on : Evolving the platform's core authorization service – the system is on the critical path of every access-control decision. Migrating and consolidating permission-checking across the platform onto a unified authorization model. Building fine-grained access controls: scoped service identities, delegated access, and role-based access control. Network ingress access policy for customer resources. Raising the availability and reliability o

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary Illumina’s Multiomics software portfolio helps customers connect multiomic assays, analysis, and interpretation into usable products and workflows — including Illumina Connected Multiomics (ICM) and related software applications across spatial, single-cell, methylation, proteomics, and adjacent multiomics surfaces. As Associate Director, Software Technical Product Management — Multiomics, you lead the Multiomics software product management group: you set the bar for product excellence, coach a team of STPMs, and own the coherent product narrative across the Multiomics portfolio. You are a people leader first and a senior product leader second. You partner with the Data Platforms & Multiomics engineering organization, BioInsight platform peers, Marketing, design, commercial, and field teams to turn multiomics strategy into shipped software outcomes customers can feel. Scope of Responsibilities Lead the Multiomics STPM team (people leadership, hiring bar, coaching, performance) Own group-level product outcomes for the Multiomics / ICM portfolio and related multiomics enablement</li

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. Use pioneering defect detection equipment and processes to fix and solve issues. Accelerate cycles of learning and technology transfer in Technology Development. Use defect detection equipment applications and data analysis skills to identify and solve process issues. Collaborate with engineers in process integration, process development, data science, and yield analysis within and outside Technology Development. Responsible to support experimentation, data analysis, baseline health metrics, and systematic and random defect improvement through partnering with others in Research and Development and High-Volume Manufacturing. Working on critical line issues and presenting findings to peers and senior management on a daily to weekly basis. Employer will accept a Bachelor’s degree in Electrical Engineering, Chemical Engineering, Materials Science & Engineering, or related field and 24 months of experience in the job offered or in a related occupation. Position requires: 1. Process anomalies, root cause analysis, data manipulation, and correlations; 2. Data Science and Data Manipulation (scripting, coding, or programming); 3. Semiconductor fabrication techniques; 4. Metrology or inspection (SEM, X-ray, Laser or Optical Systems); 5. Statistical process control (SPC), and Design of Experiments (DOE); 6. Process Development for identifying and resolving defect integration issues; and 7. Data analysis using Klarity, Yield3, jmp, eBeam Inspection methods, defect reduction analysis and ADC Modeling t

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. As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. Work closely with Global Quality and internal stakeholders to perform data analysis in key metrics to monitor quality and reliability health including DPM and Uncorrectable Error (UE) metrics. Additionally, you will also work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution. Responsibilities and Tasks include but not limited to Design and develop methods to extract and analyze unstructured diverse Backend & Front-end data. Perform data correlations to determine the Patterns and perform first level of debug. Translate raw data into compelling visual stories that highlight trends, anomalies, and opportunities for improvement. Collaborate with business partners and cross-functional teams to drive detection, Corrective and Preventive Actions in line-of-sight metrics Work with cross-functional team to deploy BKMs of Back End to Front End collaboration process like WL DPM forecast and RMA DPM reduction etc. Lead cross-functional initiatives or enabling projects that support companywide quality objectives. Manage the projects to enable

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Data Scientist on the Digital Experience Insights team, you'll lead high-impact analytics initiatives, turning complex data, platform, and time-series data into rigorous predictive models, causal inferences, and strategic product metrics. You'll also apply advanced statistical and quantitative research methods to some of our most complex datasets, but the core of the role is turning that analysis into decisions leadership can act on. This role sits within a fast-moving analytics organization where the specific problems shift over time, so we're looking for someone with strong research rigor who can adapt it to whatever question is in front of them. WHAT YOU'LL DO Advanced Predictive & Statistical Modeling: Develop ML models spanning predictive modeling, time-series prediction, clustering, churn reduction, anomaly detection, and recommendation systems. Quantitative Research: Apply advanced computational methods and statistical techniques, including multilevel models and Statsmodels, to massive datasets. Executive Visualization: Create executive-level visual analytics that make complex findings accessible to senior stakeholders. Stakeholder Collaboration: Partner directly with Product, Engineering, and Business leaders to translate complex analytical findings into actionable strategy. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in complia

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. Join an ambitious team at Micron where you can help craft the future of technology. This position offers an outstanding opportunity to work in a world-class environment dedicated to innovation and excellence. As a Senior Advanced Digital Design and Test Engineer, you will be part of a collaborative team that drives the forefront advancements in semiconductor technology. Your work will be crucial in transforming innovative ideas into flawless products that compete on a global scale. Responsibilities: Establish and improve process conditions and technologies to achieve outstanding production standards. Upgrade process capability to reduce production costs without compromising quality. Develop and modify process management projects to ensure efficiency and effectiveness. Set up and optimize process parameters for a variety of semiconductor equipment to ensure flawless operation. Evaluate, promote, and plan the integration of new equipment and materials. Perform abnormal analysis and implement improvements to maintain world-class production standards. Using AI and Applying Artificial Intelligence to support data analysis, process monitoring, anomaly detection, troubleshooting, and engineering productivity. Qualificat

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Summary The Staff Data Engineer is a seasoned, hands-on engineer who designs, builds, and scales data products on our cloud lakehouse, powering analytics, reporting, and AI/ML across Illumina. We are looking for someone with strong proficiency in Python, SQL, and data modeling, a solid understanding of distributed systems and system design who has built and scaled data products on modern cloud platforms such as Databricks and Snowflake. This is a hands-on, senior individual-contributor role with end-to-end ownership and leadership spanning multiple domains such as Supply Chain, Manufacturing and Quality, including mentoring engineers on our global (India-based) team. Responsibilities Partner across business, AI, and platform teams translating domain needs (e.g., SAP, Manufacturing, Quality) into well-modeled, governed and scalable data products. Design, build, and scale end-to-end data products on Databricks (and interoperating with Snowflake) — from ingestion through curated, analytics-ready datasets following a medallion (Bronze/Silver/Gold) architecture. Develop reusable frameworks, libraries, 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 Elastic Security is one of the fastest-growing parts of our business, and our customers (including government and public sector organisations) rely on our Security Solution to modernise their SOC, threat detection, and response capabilities. You will lead the hands-on delivery of Elastic Security projects (new implementations, migrations, and use-case expansions) from discovery through architecture design and build. Along the way, you'll develop trusted relationships with senior stakeholders and work closely with our Services, Engineering and Sales teams. Elastic is a remote-first company, but many of the projects you'll deliver might require onsite availability, making the role hybrid in practice, varying by project, with travel of up to 60%. Some of these engagements, given the organisations involved, also require national security screening or clearance; eligibility to obtain one in your country of employment is a strong advantage, and Elastic will sponsor the process where required. What You Will Be Doing Assess and Design Analyse customer goals, pain points, existing architecture, and threat landscape, translating them into technical requirements Design Elastic Security solution architectures (SIEM, endpoint, cloud security) that integrate with the customer's wider security ecosystem Advise on the customer's security strateg