Data Security Engineer Jobs

About the Team OpenAI’s Financial Engineering and Identity data science team owns how revenue flows through our products and builds the systems that enable people and organizations to access OpenAI products safely, seamlessly, and at global scale. Identity sits at the critical intersection of growth, trust, and user experience. The team owns the experiences and infrastructure behind sign up, sign in, account recovery, authentication, and identity integrations across both consumer and enterprise products. As OpenAI expands across products and markets, Identity plays an increasingly important role in helping more users get started quickly while protecting them from abuse, fraud, and account compromise. About the Role We're looking for the first dedicated Data Scientist to partner with the Identity organization. In this role, you will define how we measure success across the entire identity journey—from first-time sign up and onboarding through authentication, account recovery, and enterprise identity experiences. You'll develop the experimentation frameworks, metrics, and analytical approaches that guide product decisions while helping the team navigate one of Identity's core challenges: optimizing growth while maintaining trust and security. You'll work closely with Product, Engineering, Design, Abuse, Risk, and Go-to-Market teams to identify opportunities, quantify trade-offs, and influence strategy. Some questions can be answered through A/B tests. Others require observational analyses, causal inference, and judgment under uncertainty. This is an opportunity to shape the analytical foundations of a high-impact product area from the ground up. This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support. In this role, you will Define the north-star metrics and measurement frameworks used to evaluate the identity experience across consumer and enterprise products. Design and analyze experiments to optimize top-of

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research. About the Role We’re looking for a Staff+ Software Engineer to help build and evolve the identity infrastructure that supports OpenAI’s research, engineering, and internal platforms. This role sits at the intersection of cloud infrastructure, identity systems, and software engineering. You’ll work across production systems, infrastructure-as-code, cloud control planes, identity providers, and operational infrastructure to build secure, scalable, and reliable systems used broadly across the company. The ideal candidate has experience building and operating large-scale, mission-critical systems with strong reliability and security requirements, and is comfortable writing production code, designing distributed systems, and driving ambiguous projects from 0 to 1 while building the operational rigor needed to run critical infrastructure over time. In this role, you will: Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services. Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design. Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams. Improve the reliability, observability, performance, and op

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 1touch.io is a technology company focused on automated, real-time discovery, mapping, and tracking of sensitive personal data. Its AI-powered platform helps enterprises improve data privacy, security, and governance across complex on-premises and cloud environments. Together, 1touch.io and Everpure transform enterprise data from passive storage into an intelligent, context-aware, and governed foundation - making it AI-ready at the source so organizations can securely understand, trust, and activate their data at scale. As a Mainframe Software Engineer, you will help design, develop, and modernize core data discovery and scanning capabilities across enterprise systems. You will focus on a Java-based mainframe agent running on IBM z/OS, enabling scalable access to critical mainframe data sources while supporting the modernization of legacy implementations. Working within a broader Java engineering team, you will contribute to cross-platform solutions, share mainframe expertise, and help evolve modern platform capabilities and architecture. WHAT YOU'LL DO Design, develop, and maintain a Java-based agent running on IBM z/OS systems. Build capabilities to scan and interact with mainframe technologies, including VSAM, QSAM, IMS, DB2, flat files, and system-level resources. Design, implement, and support scalable software solutions from development through production operations. Build and maintain scalable microservices

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 hands-on senior leader for our India SecOps team, you will shape and safeguard Everpure’s security posture at the intersection of detection engineering, threat hunting, attack surface management, and incident response. Positioned as a strategic cornerstone in Bangalore, you will empower an elite engineering team, optimize critical SecOps pipelines, and partner cross-functionally across global engineering and infrastructure groups. By driving execution excellence and high team morale, you ensure our enterprise platform and global telemetry remain resilient against evolving threats. WHAT YOU'LL DO Scale & Lead SecOps Operations: Architect, mentor, and grow the India SecOps team to foster an environment of high morale, technical excellence, and rapid execution across detection engineering and incident response. Proactively Manage & Remediate Attack Surface: Own end-to-end Attack Surface Management (ASM) across cloud environments, SaaS applications, endpoints, and secrets management to measurably minimize enterprise exposure and mitigate risk. Optimize Telemetry & Incident Response: Mature SIEM and SOAR automation pipelines to drastically reduce mean time to detect, contain, and respond (MTTD/MTTC/MTTR) while continuously elevating alert fidelity and signal confidence. Drive Cross-Functional Alignment & RCA Postmortems: Lead continuous validation through purple-teaming and incident postmortems alo

Identity has become a critical to an organizations security posture. This is true across their entire digital landscape include cloud, traditional on prem and emerging technologies like agentic ai. Britive is at the forefront of a modern approach to delivering identity security with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across infrastructure, platforms & SaaS. Our patent-pending technology is deployed at companies of all sizes around the world, including Fortune 500 companies. We have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs. About You You are a passionate Senior Software Engineer who wants to develop and scale our multi-tenant SaaS applications on the AWS platform. You have strong hands-on technical expertise in a variety of big data technologies. From day one, you must be able to hit the ground running and bring all your experience to the team to contribute in the building of a great product. Most importantly, you have a positive “can do” attitude and a passion for delivering technical solutions in a fast-paced startup environment. Your Impact Key Responsibilities: Responsible for design and development of a large-scale data ingestion and analytics. Design and develop data pipelines for real-time and batch data processing for disparate datasets. Develop systems which can store data in highly normalized fashion to allow correlation with other data sources. Collaborate with product management and engineering teams to design and integrate software, conduct code reviews, and troubleshoot product issues. Perform proof of concepts to identify best design options including usage of AWS services. Resear

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . We are seeking a talented Cloud Application Full Stack Engineer to join our team in developing a cutting-edge cloud application in cybersecurity. As a key member of our engineering team, you will help create an innovative endpoint security solution. Our development environment is truly cross-platform, encompassing a wide range of technologies, including AWS cloud services, Windows, macOS, Linux, ChromeOS, Android, and iOS applications. This unique setup offers you an exceptional opportunity to gain exposure to a diverse array of technologies that few organizations can match. Join us in shaping the future of cybersecurity and expanding your expertise in a dynamic and multi-platform development team. Role and Responsibilities: Develop and maintain robust, scalable, data-intensive, and high-performance web applications using Node.js and Vue3.js. Implement and maintain backend services, APIs, and databases using TypeScript, MongoDB, and Redis. Collaborate with cross-functional teams, including developers, QA, product managers, and designers, to ensure seamless integration of frontend and backend components, de

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all can

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 The Digital & Data Experience (DDX) business unit simplifies fleet management through intelligent, cloud-native solutions. Our SaaS platform enables customers to manage their assets through automation, security, and AI-driven insights. In this role, you will contribute across the full application development lifecycle while helping build and maintain our data intelligence platform. Working closely with engineering teams, you will develop automated testing solutions, support mission-critical processing services, and help ensure our platform is secure, reliable, and scalable through modern engineering and quality practices. WHAT YOU'LL DO Work across the full application development lifecycle, designing, developing, testing, operating, and maintaining mission-critical processing services with a focus on security, compliance, and interoperability. Create and maintain test automation for our data intelligence platform, verifying applications across unit, integration, and end-to-end testing layers. Collaborate with peers and stakeholders to identify requirements and take solutions from initial design through production. Contribute to engineering best practices, including code reviews, documentation, continuous integration, and continuous deployment. Experiment with new technologies, platform ecosystems, and AI-assisted approaches to improve automation, platform capabilities, and engineering efficiency. Work with en

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 Everpure is expanding beyond traditional storage to help organizations understand, govern, and activate their data in the AI era. As part of Everpure’s Data Management business, 1touch brings capabilities in data discovery, classification, contextualization, enrichment, and security posture management across SaaS, on-premises, cloud, and hybrid environments. Together, we are building an intelligent data-management platform that helps enterprises turn complex, distributed data into trusted, governed, and AI-ready information. Joining this team means contributing to a high-impact transformation at the intersection of data, cloud, security, and artificial intelligence. As a Senior Golang Engineer , you’ll build core backend capabilities that enable enterprises to discover, understand, and protect sensitive data across complex environments. You’ll solve challenging engineering problems around scale, concurrency, performance, and reliability , with meaningful ownership over how our platform evolves. Working closely with Engineering, Product, Architecture, and DevOps/SRE, you’ll help expand the platform to new data sources and increasingly complex customer environments. WHAT YOU'LL DO Design and build high-performance backend systems in Go that operate reliably across complex enterprise environments. Solve challenging engineering problems around concurrency, distributed systems, scalability, performance, and fault

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 Join the Digital Experience (DX) business unit to deliver the next generation of intelligent, cloud-native fleet management solutions for our customers. You will contribute to our mission of simplifying operations by building scalable SaaS platforms that leverage AI, security, and automation . This role involves working across the full application lifecycle, from Pure IAM to Pure1 Manage , collaborating with cross-functional teams to translate business needs into resilient, production-ready systems. WHAT YOU'LL DO Own the end-to-end design, development, and operation of mission-critical processing services , ensuring seamless, secure, and compliant data flow between edge devices and the Pure1 cloud platform. Partner with Product and Architecture teams to translate complex requirements into scalable, resilient architectural designs that drive significant organizational impact from initial concept through to production deployment. Drive continuous innovation by experimenting with new technologies, platform ecosystems, and architectural patterns to improve system performance, security, and cost-effectiveness for petabytes of real-time data. Maintain a quality-first mindset throughout the entire software development lifecycle, emphasizing comprehensive unit testing, thorough code reviews, and robust Continuous Integration/Continuous Deployment (CI/CD) pipelines. Lead the resolution of complex inter-operab

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 Everpure is expanding beyond traditional storage to help organizations understand, govern, and activate their data in the AI era. As part of Everpure’s Data Management business, 1touch brings capabilities in data discovery, classification, contextualization, enrichment, and security posture management across SaaS, on-premises, cloud, and hybrid environments. Together, we are building an intelligent data-management platform that helps enterprises turn complex, distributed data into trusted, governed, and AI-ready information. Joining this team means contributing to a high-impact transformation at the intersection of data, cloud, security, and artificial intelligence. Working closely with engineering teams, you will develop automated testing solutions, support mission-critical processing services, and help ensure our platform is secure, reliable, and scalable through modern engineering and quality practices. WHAT YOU'LL DO Design and run quality strategies for the platform's AI-driven features — building evaluation datasets, regression suites, and quality metrics for non-deterministic outputs, and validating accuracy, latency, and cost alongside functional correctness. Create and maintain test automation for our data intelligence platform, verifying applications across unit, integration, and end-to-end testing layers. Collaborate with peers and stakeholders to identify requirements and take solutions from init

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. Responsibilities: Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your use

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least four years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with giving