Senior Detection Analyst Jobs

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices — code review, testing, CI/CD for data, incident response, and postmortems — and champion the effective, measured use of AI coding tools to improve engineering productivity. Team Leadership: Lead, mentor, and grow

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Cheat Software Engineer. As a Senior Cheat Software Engineer you’ll work closely with other engineering and product teams to research and implement solutions that mitigate threats to the player experience while staying ahead of evolving attack vectors. This is a full-time, permanent and in-office position based in Rockstar’s state-of-the-art game development studio in Dundee, Scotland. WHAT WE DO The Rockstar Games Cheat Software Engineering Team supports the entire cheat lifecycle including discovery, technical breakdown, reproduction, root cause analysis and remediation. We strive to understand the threat landscape affecting our titles and the gaming industry as a whole to maintain and continuously update our knowledge. We independently assess our applications, services, and builds to identify potential vulnerabilities and design flaws and work with development teams to remediate. RESPONSIBILITIES Reverse engineer, analyse, debug, and document application behaviours. Develop, fine-tune, and support anti-cheat measures and in-game abuse prevention systems. Drive root cause analysis efforts behind internally and publicly identified vulnerabilities. Collaborate with cross-functional teams to improve security controls and detection. Support the active development of internal tooling and anti-cheat solutions. Identify gaps in anti-cheat capabilities and detection&

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Cheat Software Engineer. As a Senior Cheat Software Engineer you’ll work closely with other engineering and product teams to research and implement solutions that mitigate threats to the player experience while staying ahead of evolving attack vectors. This is a full-time, permanent and in-office position based in Rockstar’s state-of-the-art game development studio in Edinburgh, Scotland. WHAT WE DO The Rockstar Games Cheat Software Engineering Team supports the entire cheat lifecycle including discovery, technical breakdown, reproduction, root cause analysis and remediation. We strive to understand the threat landscape affecting our titles and the gaming industry as a whole to maintain and continuously update our knowledge. We independently assess our applications, services, and builds to identify potential vulnerabilities and design flaws and work with development teams to remediate. RESPONSIBILITIES Reverse engineer, analyse, debug, and document application behaviours. Develop, fine-tune, and support anti-cheat measures and in-game abuse prevention systems. Drive root cause analysis efforts behind internally and publicly identified vulnerabilities. Collaborate with cross-functional teams to improve security controls and detection. Support the active development of internal tooling and anti-cheat solutions. Identify gaps in anti-cheat capabilities and detecti

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer – Logging, Diagnostics & Post-Release Incident Analysis Overview The PlayStation Portal Platform team is seeking a Senior Software Engineer to lead the design, development, and operation of Logging and Diagnostics infrastructure that enables rapid detection, investigation, and resolution of Performance, Stability, and Platform Quality issues occurring after products are released to customers. In this role, you will be responsible for building scalable Logging Architecture, Crash Diagnostics, and Incident Analysis Frameworks that empower engineering teams to perform efficient root cause analysis of field issues. You will collaborate closely with Engineering, Quality Engineering (QE), Customer Support, Security, and Product teams to reduce the time from issue detection to root cause identification and drive continuous improvements in product quality and reliability. We are looking for engineers who are passionate about quality, thrive on solving complex system-level problems, and take strong ownership in delivering exceptional user experiences through continuous improvement. Key Responsibilities Logging Architecture Define and drive the overall platform logging strategy. Design and impleme

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. Role Overview The ASIC Test Engineer is responsible for test program development, silicon validation, yield analysis, and production test optimization for advanced ASIC/SSD controller products. This role supports both NPI and HVM phases, driving fast ramp, robust quality, and cost-effective test solutions across wafer sort and final test. Key Responsibilities Develop and debug ATE test programs for wafer sort and final test (probe to package) to support silicon bring-up and production ramp. Drive yield analysis, failure characterization, and root cause investigation to accelerate yield improvement and ensure product quality. Collaborate with design, product engineering, reliability, and OSAT teams to resolve test and silicon issues across the product lifecycle. Optimize test coverage, test time (TTR), and cost through test content development, guardband tuning, and screening strategy improvements. Support hardware bring-up including probe cards, load boards, and tester configurations to ensure stable manufacturing operations. Enable efficient NPI execution by developing scalable test solutions and improving cycle time from bring-up to HVM. AI/Advanced Data Capability Apply AI/ML and data-driven methodologies to enhance yield analysis, anomaly detection, and failure classification. Leverage AI-assisted tools (e.g., code generation, debug automation, data analytics platforms) to improve engineering productivity and debug cycle time.<br

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

Role Overview You are a senior product leader who wants to shape how AI transforms IT and cyber risk management at scale. In this role, you will own one of the most strategic product areas in a global GRC SaaS platform, defining how organisations identify, assess, and act on cyber risk — and how CISOs and boards get the clarity they need when it matters most. You will set and drive the product vision, roadmap, and outcomes for IT & Cyber Risk on a multi-solution platform used by enterprises worldwide. You will partner closely with engineering, design, data science, and senior leaders to build AI-native capabilities that automate risk detection, prioritisation, and reporting. Your work will have high executive visibility, real strategic weight, and direct impact on how customers manage governance, risk, and compliance. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the end-to-end product strategy and roadmap for IT & Cyber Risk, aligning to company objectives and broader platform direction. Design and deliver AI-powered features (LLMs, agents, ML models) that automate risk identification, assessment, and reporting for enterprise security and risk teams. Partner with engineering, data science, and design to define technical approaches, ship high-quality releases across web, mobile, and API, and iterate using product analytics. Develop deep market and customer insight by engaging regularly with CISOs, security leaders, and risk managers, and turn those insights into clear product bets. Define, track, and communicate product KPIs, AI performance metrics, and north star outcomes to senior stakeholders, including business cases for major investments. Work cross-functionally with Sales, Customer Success, Professional Services, and Marketing to ensure successful launches and adoption of new IT & Cyber Risk capabilities. These are the essentials you’ll need to get an interview 7+ years of product management experience, includi

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. As a Systems Engineer at Zoox, you will be working with cross functional teams including product, feature, operations, vehicle engineering, software, autonomy, and legal to design, develop, and deploy systems that enable and support safe autonomous driving. You are responsible for ensuring these systems are developed within a safety engineering process that results in end-to-end traceability and achievement of both system safety targets and product requirements. In this role, you will: Lead powertrain safety and fail-operational design and analysis covering high-voltage battery systems, charging, propulsion, and on-vehicle load management Architect vehicle-level safety concepts, focusing on fault tolerance, and fail-operational behaviors necessary for supporting autonomy and ensuring mission assurance on the vehicle’s powertrain functions Develop vehicle level safety concepts covering fault detection, and vehicle level reaction for ensuring the powertrain systems can achieve mission objectives under presence of faults Own the delivery of key work-products including hazard analysis risk assessment (HARA), fault tree analysis (FTA), functional safety concept, vehicle level safety requirements, safety clearance artifacts, and quantitative residual risk assessments Drive consensus across product, feature, operations, vehicle engineering, software, autonomy and legal teams to implement and release safety requirements Qualifications B.S. or higher degree in Automotive, Aerospace, Robotics, Computer Science, Electrical, Mechanical, or

About the role: This is an opportunity to join K's critical InfoSec team as a Senior Security Engineer - AppSec and operate with foresight in protecting our infrastructure, applications, cloud security, and customer trust. As a lean team, we span across multiple areas such as AppSec, CloudSec, SecOps, ITSec, and Compliance and apply it towards reading and interpreting architecture, or planning and building out net new security solutions. You will have the autonomy to define and implement cutting-edge security solutions across our entire technical ecosystem, ensuring our innovative work remains robust and compliant against evolving global threats. This role is crucial for establishing and maintaining a world-class security posture, particularly within the sensitive and highly regulated healthcare technology space. What you will do: Lead the development and implementation of robust application security protocols throughout the entire Software Development Lifecycle (SDLC). Partner with engineering teams to incorporate security into architecture, design, development, testing and deployment Perform hands-on security testing of web applications, APIs, cloud-native services and supporting infrastructure Build and improve automated security testing within CI/CI pipelines, including static analysis, dependency scanning, secrets detection, container scanning and dynamic testing Evaluate effectiveness of application security tools, improve tooling output quality and reduce unnecessary findings and developer friction Develop secure coding standards with developer-focused documentation Contribute application security expertise to vulnerability management, during security incidents/investigations and post-incident reviews Evaluate third party applications, libraries and APIs and integrations for security risk Ensure adherence to relevant healthcare regulatory and compliance requirements (e.g., HIPAA, GDPR, etc.) across all product lines and systems. What we're looking for: 4+ yea

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! We are the Silicon Power Team within the Silicon Co-Design Group. We architect and deliver groundbreaking solutions for productizing NVIDIA's chips across consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch and design expectations, product spec finalization, and productization techniques and infrastructure are our day-to-day work — always on the bleeding edge of the industry. Small decisions here have outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product delivers in the field. We are hiring a Senior Silicon Power Engineer to own power-feature productization on a flagship silicon program. This is not a coordination role, and it is not a compliance role — it is the seat where power features either work at scale or become the reason a program slips. The two highest-leverage problems in this seat: Close the hardest multi-functional power failures before they gate a program. Take ambiguous, cross-boundary issues across architecture, firmware, validation, and platform to root-cause closure — with productized fixes and reusable methodology the next program can inherit. Build AI-enabled characterization as a real capability, not a demo. Every bring-up generates terabytes of characterization, shmoo, and telemetry data. Deploy AI workflows for data analysis, metric extraction, trend detection, and cross-bring-up correlation — with the guardrails and validation discipline to make them trustworthy enough to gate production decisions! <

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Development Engineer in Test San Mateo, CA Role Overview Sony Interactive Entertainment LLC seeks a Senior Software Development Engineer in Test in San Mateo, CA to design, develop, and maintain automated testing frameworks and tools for PlayStation console and platform applications using both internal and external Python-based technologies. Requirements Master’s degree in Computer Science, Computer Engineering, or related field or equivalent, and two (2) years of experience in containerizing ML services and exploring Kubernetes-based deployments to support scalable service infrastructure; leveraging Amazon Web Services (AWS) technologies, including EC2, S3, and Lambda, to support model training, storage, and deployment workflows; implementing cloud-based ML infrastructure and monitoring solutions to improve system reliability and availability; utilizing Python and ML libraries including Scikitlearn and Pandas to build predictive models, perform data preprocessing and feature engineering, and generate analytical insights; applying supervised learning, anomaly detection, and optimization algorithms to support system tuning and predictive analytics; creating real-time ROI and analytics dashboards using Tableau to support data-driven decision-m