Field Security Specialist Jobs

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

About Prophecy Prophecy is building the next generation AI-powered data prep and analysis platform. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions. About the Roles We are looking for a Director of Strategic Partnerships who can do both: drive revenue through Prophecy's partner ecosystem, and build an effective partner program. This is an early-stage, high-ownership motion, the playbook is still being written, and you'll have real influence over how we engage partners, what good looks like for partner-sourced pipeline, and how we build durable co-sell relationships with Snowflake, Databricks, GCP field and partner teams. You will sit at the intersection of sales, partnerships, and strategy, owning partner performance while building the programs and processes that scale it. You'll work directly with our AEs and SEs to bring partners into deals at the right moments, and you'll serve as the primary point of contact for our strategic cloud and ecosystem partners. What You’ll Own Partner Revenue & Pipeline Own and exceed partner-sourced and partner-influenced revenue targets on a quarterly basis Proactively generate pipeline through Snowflake, Databricks, and GCP field AEs and PDMs — building the relationships that produce qualified, sourced opportunities Drive joint account mapping and target account activation against Prophecy's ICP: enterprises running Alteryx on Snowflake or Databricks Activate co-sell motions through marketplace programs (GCP Marketplace, Snowflake Partner Network, Databricks

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

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times International desk is looking for a Senior Producer based in New York to grow a video team and develop new approaches to our international reporting in video. Your team will work with a growing group of foreign correspondents who report in video as well as text. The goal is to help readers understand the world through powerful video stories, reaching our core audience as well as new viewers who increasingly consume journalism in video. We will experiment with a mix of short-form, immersive vertical video that can bring readers with us on the ground. You will lead a team of video journalists who will shape this work with correspondents in the field. You are a trusted editorial leader who is also a creative force excited about experimenting with new formats, and who is deeply immersed in the digital video world. You have experience making high-level editorial decisions that lift critical lines of coverage, including under deadline pressure. You are a strong manager of creative teams, an effective collaborator, and a fluid communicator and writer. You should be able to manage the deployment of teams in the field, including in security-sensitive areas. You should be comfortable routinely collaborating with multiple teams, including the newsroom Video department. This position is based in New York and includes regular attendance in the office four days each week. Responsibilities: Lead coverage of a group of hybrid video

We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way . At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is expected in this role, mainly within Japan. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bri

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. This role is open in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting

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. Micron's Firmware & Product Test (FPT) team is hiring a Staff Engineer to lead validation strategy for enterprise SSD firmware. In this role, you'll architect next-generation test frameworks, drive AI/ML-powered validation methodologies, and own end-to-end verification of complex NVMe front-end features across multiple product lines. You'll serve as a technical authority at the intersection of firmware validation and applied machine learning — shaping the strategic direction of our test infrastructure, mentoring engineers, and influencing firmware architecture decisions through deep validation insights. The FPT team builds verification plans in Python, enforces NVMe and security protocol compliance, and executes white-box, grey-box, and black-box testing across simulation, FPGA, and prototype hardware environments. Responsibilities Lead the design and execution of firmware verification strategies for customer specifications and NVMe protocols, owning validation of complex front-end features (SMART, Trim, Get Log Page, OCP) across multiple product lines. Architect scalable grey-box, white-box, and black-box test frameworks that become organizational standards for firmware quality. Drive root-cause analysis for critical field and regression failures; establish systematic debug methodologies and knowledge-sharing practices across the team. Own the test infrastructure roadmap — including automation frameworks, CI/CD integration, and reporting dashboards — and influence t

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. Responsibilities: SUPPORT CUSTOMERS AND DEBUG FIRMWARE Customer engineering support: Act as the primary technical escalation point for Security Firmware on SSD products — triage, prioritize, and drive customer reported security issues to closure within committed response times Security feature enablement: Guide customers through the configuration, integration, and validation of SSD security features; including, but not limited to: TCG Opal/Pyrite/Ruby and Enterprise SSC, ATA and NVMe security commands, self-encrypting drive operation, secure boot and signed firmware update, sanitize and cryptographic erase, key management, and device attestation Debug and root cause analysis: Reproduce customer, qualification, and field failures in the lab; analyze firmware logs, traces, and bus captures; debug Security Firmware source; and deliver documented root cause and corrective action Firmware fixes and validation: Develop, unit test, and functionally validate targeted Security Firmware changes and customer specific configurations and builds, ensuring each change meets the security, functional, performance, and quality/reliability requirements of the technical spec matrix before release Vulnerability and incident response: Assess the impact of reported vuln

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. We are looking for world-class Solution Engineers to join our Global field teams whose technical skills and customer savvy will help customers understand and utilise the value of the cutting-edge data platform that we are building. They must share our passion about reinventing the data platform and thrive in a dynamic environment. The Solution Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing. In this role you will work directly with the account sales team on a handful of global accounts with GCCs in India to accelerate their Snowflake journey. The Solution Engineer will be responsible for providing the technical expertise to make Snowflake customers successful in driving existing projects and uncover new use cases. This data architect will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide con

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are bringing our people systems in-house on Workday, and we are hiring our first dedicated Workday Analyst to make it excellent. You will join while the implementation is underway, ramp alongside our deployment partner, and own the tenant from go-live onward. This is a hands-on configuration role: you will build business processes, manage security, load data, and test releases yourself, and you will teach others on the People team to do the same as we grow. If you want to shape a Workday environment from its first day in production instead of inheriting years of someone else's decisions, this is that rare opening. RESPONSIBILITIES Own day-to-day Workday configuration: business processes, security groups and roles, custom reports, calculated fields, and tenant settings Build and run EIB loads for data changes, mass updates, and audits Own the twice-yearly Workday release cycle: evaluate new features, regression-test, and roll out changes safely Shadow the implementation build, then take over tenant ownership at go-live Monitor integrations and triage issues with our IT team and vendors Support payroll configuration in partnership with our Accounting team and payroll services provider Field and resolve system requests from employees, managers, and the People team Mentor teammates so Workday administration becomes a team capability, not a single point of failure REQUIREMENTS 4+ years administering a live Workday

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 Senior Technical Program Manager 1. Overview This role provides Tier 1 and Tier 2 support for Jira Cloud users across Mastercard programs, ensuring seamless onboarding, issue resolution, and vendor coordination. You will work closely with engineering, product, and vendor teams to maintain operational excellence and drive adoption of Jira Cloud and integrated tools like Aha! and X-ray. 2. Role • Serve as the primary contact for Jira Cloud support , handling Remedy tickets, onboarding queries, and user escalations. • Facilitate onboarding of programs to Jira Cloud, including license validation, test case migration, and user provisioning. • Conduct demos and office hours to guide users through Jira workflows and integrations. • Partner with engineering teams to troubleshoot configuration issues, permission models, and data sync errors between Jira and Rally/Aha • Support CRQ planning and execution for Jira schema updates, field validations, and migration logic enhancements. • Coordinate with vendors to resolve plugin issues, validate architecture diagrams, and ensure compliance with Mastercard’s security standards. • Monitor and clean up orphaned work items, duplicate epics, and initiatives across programs using Domo reports and Confluence documentation. • Maintain Confluence pages for s

Step into a mission where what you do truly matters! At Leidos, innovation is at the heart of everything we do. Powered by a team as diverse as it is talented, we're driven by a shared passion for delivering bold solutions that fuel our customers' success. We believe in empowering our people, giving back to our communities, and leading with sustainability. Every action we take is grounded in integrity and a steadfast commitment to doing what’s right—for our customers, our teams, and the world around us. Our Mission, Vision, and Values aren't just words—they're the compass guiding our journey toward a brighter future. If this sounds like the kind of environment where you can thrive, keep reading! Leidos has an exciting opportunity for a Chinese Mandarin Linguist/Instructor. This role can be based at Fort Bragg, NC; Cannon AFB, NM; or Hurlburt Field, FL. Candidates must currently possess a TS/SCI security clearance in order to be considered. The selected individual will provide translation services in a variety of forms, primarily global and cryptologic language training to military personnel. Works with unit Language Program Manager to develop/integrate language training materials, technologies, and methods in existing training programs. Note-Assignment is projected for one year, approximately October 2027. Essential Duties and Responsibilities Provide global language, cryptologic, language, and cultural training to military forces and civilian personnel via traditional classroom instruction, written materials, technology-based instruction, and distributed learning services. Help to develop and integrate new global and cryptologic training materials, curriculum, and courseware for approval of US Government. Adapt instructional methods to meet student language proficiency goals, learning styles, and time constraints. Advise Language Manager

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Summary: Workplace Experience Manager/ Lead duties and responsibilities include working closely with the hard services engineering manager. Leading a team of Workplace Ambassador, Event Ambassador, Helpdesk/Security Admin and soft services vendors to manage the workplace day-to-day operations, functional services of the facilities and ensure that all workplace experience functions and soft services are covered. You will strive for continuous improvement in the process. In addition, you will help mitigate risks by taking part in emergency evacuation procedures, and handling crisis management and business continuity plans. You will also be on top of health and safety issues that may arise, and actively participate in reviewing them. The responsibilities will include site budgets, accounting and finance, maintenance and operations, contract services, purchasing of material, equipment & supplies, occupancy services and helpdesk. Also, part of your mandate is to monitor the facilities infrastructure, vendor’s performance and processes comply with standards. Direct report to the Senior Facilities Manager. As an expert in the field, you must be flexible in taking other responsibilities aside from y