Detection And Response Jobs

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role As Lead Manufacturing Engineer, Test, you will be the technical owner of production testing across all products and subsystems. This scope includes PCB flashing and configuration, component and subassembly test, end-of-line (EOL) system functional test, and final acceptance. You will define what gets tested, where, and how. You will design, source, and launch the stations, fixtures, software, and data flows that make it work at rate. You will work across Product Engineering, Firmware, Manufacturing Engineering, Controls, Quality, Supply Chain, and Operations so that design intent becomes repeatable, high-coverage, data-rich production testing. This is a hands-on technical role with direct reports. You will set the technical direction for your test area and guide the engineers, technicians, and integrators working on it. You will also be on the floor bringing up stations, debugging failures, and keeping hardware moving. Key Responsibilities Own production test strategy and execution for assigned products and subsystems, from incoming and component test through subassembly test, EOL functional test, rework and retest, and final acceptance. Turn product requirements, design intent, and DFMEA/PFMEA risks into test requirements, coverage maps, test l

Our Purpose Mastercard powers economies and empowers people in 200&#43; 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 Software Engineer Overview Join a team responsible for building the authentication and security solutions that help protect digital interactions across Mastercard's Identity Solutions platform. As a Senior Software Engineer, you will design, develop, and support secure, scalable, and high-performing applications that enable trusted identity verification, authentication, and fraud prevention capabilities. In this role, you will take ownership of complex technical challenges, contribute to software design and architecture decisions, and partner closely with product, security, and platform teams to deliver reliable, production-ready solutions. You'll play a key role in advancing engineering excellence through secure development practices, system reliability, automation, and continuous improvement while mentoring other engineers and influencing technical direction across the team. Role •Design, build, test, deploy, and maintain scalable, cloud-native applications and microservices •Develop REST APIs using Java and Spring Boot, focusing on performance, scalability, and reliability •Translate requirements into well-structured designs and architecture, ensuring maintainability and security •Lead and contribute to system design discussions, aligning with architectural standards and best practices<

Job Summary The Manufacturing Systems Engineer I is an entry-level professional responsible for supporting the implementation, maintenance, and continuous improvement of digital manufacturing systems that connect production operations, industrial equipment, and enterprise platforms. Working under the guidance of experienced engineers and leadership, this role applies foundational engineering knowledge to support manufacturing system performance, equipment connectivity, data collection, and operational reporting. The incumbent performs routine to moderately complex assignments using established processes, practices, and technical standards while developing proficiency in manufacturing systems, industrial automation, and digital technologies. Responsibilities include assisting with system troubleshooting, testing, documentation, data analysis, and continuous improvement initiatives that enhance operational visibility, reliability, and efficiency. This position collaborates with manufacturing, engineering, quality, supply chain, and IT stakeholders to support day-to-day system operations and project execution. The Manufacturing Systems Engineer I exercises judgment within defined procedures, receives guidance on complex issues, and contributes to team objectives through effective problem-solving, learning agility, and continuous skill development. Success in this role is demonstrated through the ability to build technical expertise, execute assigned work with increasing independence, and contribute to the advancement of digital manufacturing capabilities across the organization. Key Responsibilities Assist in the configuration, maintenance, and support of digital manufacturing systems connecting production equipment and enterprise platforms. Support the implementation and sustainment of IIoT, MES, SCADA, and plant-level data collection systems under the direction of senior engineers. Monitor manufacturing system performance and report identified issues, tre

About the Role: As a Senior Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights. You'll operate as an embedded data engineer within a specific data product vertical, shaping the culture, best practices, and overall approach to data engineering within the team. Our diverse product verticals, such as Viewer Growth, Ad Product Sales, and Marketing Analytics, are all highly data-driven. In this role, you will also be responsible for supporting Tubi’s Growth vertical with the creation and curation of CRM and Growth related pipelines, datasets, and scripting in the Databricks environment and leveraging the Braze CRM platform. Additionally tasks related to general pipeline creation, SQL optimization, data-related automation,, and contributing to the strategic direction of data engineering for the Growth organization. Each product team presents unique big data challenges, requiring you to be adaptable, curious, and possess a strong foundation in big data and engineering principles. Your responsibilities will span from constructing efficient pipelines and facilitating data access for data scientists and analysts, to building specialized data products that empower non-engineering teams with deeper insights into their datasets. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Be the primary owner of the data needs of a specific product vertical. That means everything from raw-data ingestion to end-user analysis. Build intuitive, easy-to-use, and high quality datasets using Spark and DBT Track down data quality issues when they arise, and then set appropriate data quality monitors and alerts to help prevent future incidents Participate in the occasional on-call rotation (12-hr day time shifts, ~1-2/month) Understand your product vertical's datase

Role Summary The AI Knowledge Analyst is a member of the Customer Care and Managed Services team, responsible for ensuring the knowledge ecosystems that power GHX's operations and AI platforms are accurate, well-governed, and continuously improving. This role works closely with leadership, SMEs, data scientists, and operational teams to identify content gaps, manage knowledge lifecycles, and translate business needs into structured, AI-ready information assets. The AI Knowledge Analyst is equally comfortable working through a detailed content audit and presenting a structured recommendation to leadership. Strong organizational skills, clear communication, and a bias for action are required. This is a role for someone who treats knowledge gaps as solvable problems and can move from gap identification to resolution with minimal direction. Core Focus Areas Knowledge Governance & Lifecycle Management Maintain, organize, and govern the knowledge assets that support Customer Care and Managed Services teams. This includes managing intake, triage, and routing of knowledge requests; driving SME review cycles; and ensuring content is accurate, current, and ready for both human use and AI ingestion. AI Knowledge Readiness Identify, structure, and groom content that feeds GHX's AI platform. Partner with AI and data teams to ensure knowledge assets are formatted, accurate, and optimized for ingestion. Monitor AI solution performance and drive content improvements that translate into measurable efficiency gains. Roles & Responsibilities Knowledge Management & Content Quality Manage the intake, triage, and routing of knowledge-related requests from operational teams. Maintain content lifecycle through SME review checkpoints — flagging material for update, review, or archival on a consistent cadence. Identify obsolete, duplicate, or conflicting content and drive resolution through appropriate stakeholders. Conduct knowledge audits and implement improvement c

Leidos is seeking a highly analytical and curious Data Analyst who is passionate about turning data into actionable business insights. The ideal candidate combines strong technical expertise with critical thinking and exceptional communication skills. This role requires someone who can work independently, uncover meaningful patterns in complex datasets, and communicate findings in a way that drives informed business decisions. *The Data Analyst will be a hybrid role, 50% onsite in the Fort Worth, TX office and 50% remote. The candidate for this role must be within commutable distance to the office location. Primary Responsibilities: Extract, clean, transform, and validate data from multiple sources, including relational databases. Write efficient SQL queries to retrieve, manipulate, and analyze large datasets. Develop Python-based data analysis workflows for data exploration, modeling, and reporting. Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis. Apply statistical methods and predictive modeling techniques such as linear regression and other statistical evaluations. Utilize AI and machine learning tools to identify trends, generate insights, and improve analytical processes. Build and evaluate machine learning models, including: Regression Classification Clustering Decision Trees Supervised Learning Unsupervised Learning Investigate data anomalies and independently determine the root causes behind unexpected results. Identify the most relevant data elements, metrics, and business questions without requiring extensive direction. Translate complex analytical findings into clear, compelling presentations and recommen

Our Purpose Mastercard powers economies and empowers people in 200&#43; 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 Principal Software Engineer Principal Software Engineer Position Overview The Principal Software Engineer is a senior individual contributor within Architecture & Technology (A&T), responsible for driving enterprise engineering strategy, architecture standards, and technology excellence across Mastercard. This role provides deep technical leadership across distributed systems, cloud-native platforms, resiliency, observability, and software engineering practices while influencing technology direction across multiple teams and domains. The Principal Engineer partners with senior engineering leaders, architects, and platform organizations to define architectural standards, establish reusable patterns, and guide critical technology decisions. Through technical expertise, thought leadership, and cross-functional influence, this role helps teams build secure, scalable, reliable, and operationally excellent solutions that align with Mastercard's long-term engineering strategy. Role • Provide technical leadership and architectural guidance across multiple engineering organizations, driving consistent adoption of engineering standards, best practices, and enterprise technology patterns. • Partner with platform CTOs, architects, and engineering leaders to evaluate technology investments, transformation initi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Executive Content & Experiences team builds trusted relationships with leaders shaping the global economy. We design high-impact programs—including executive briefings, advisory boards, flagship convenings at Davos, and executive programming at Stripe Sessions—to bring Stripe's strategy to life. Beyond delivering premier high-touch moments, we turn leadership insights into actionable intelligence that directly informs Stripe’s narratives, product, and go-to-market direction. What you’ll do We are looking for a rock star product marketer to translate Stripe’s most complex technology and strategy into compelling, executive-ready narratives and scalable sales motions. In this role, you will lead the content strategy and enablement engine that powers our highest-stakes executive moments—from global Executive Briefing Centers (EBCs) to bespoke leadership workshops. Sitting at the intersection of Product, Sales, and Executive Engagement, you will equip Stripe leaders, account teams, and event hosts to clearly articulate Stripe as the complete financial infrastructure for the internet. Responsibilities Develop Thought Leadership Narratives: Craft tailored, point-of-view-driven narratives and presentations for executive-level meetings, advisory boards, and Tier-1 convenings. Drive Executive Briefing Center Enablement: Develop and scale sales enablement frameworks, messaging toolkits, and prep materials to empower account teams to lead im

About the Role The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team. You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization. Key Responsibilities Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries. Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation. Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use. Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads. Debug com

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role The Principal Software Engineer will play a pivotal leadership role in developing and advancing our autonomous defense systems. You will drive the architecture, design, implementation, and optimization of mission-critical software, with deep focus on real-time performance, reliability, security, and scalability. This senior position demands exceptional technical expertise, strategic thinking, and strong ownership as you lead complex initiatives across the full software stack - from low-level firmware to high-level mission systems - in a fast-paced, high-stakes environment. Key Responsibilities Lead the design, development, testing, and maintenance of software for autonomous defense platforms, ensuring world-class performance, reliability, and security. Architect and implement high-performance, well-tested systems in C++, Rust, Python, or C, setting technical direction for real-time and embedded applications. Define and own end-to-end software architecture, spanning low-level firmware through high-level mission software and edge computing solutions. Collaborate closely with embedded engineers, GNC specialists, systems engineers, and cross-functional teams to deliver seamless hardware-software integration and system-level optimization. Drive perfo

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search. We are looking to speak to candidates who are based in the San Francisco Bay Area for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our reliability, performance, security and efficiency Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background Experienced in the development and maintenance of concurrent, stateful services Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in writing features, debugging and optimizing multithreaded applications written in Java Familiarity with LLM

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. Snowflake is looking for someone with adaptability and aptitude to join our Product admin team and elevate the business through proactive and holistic support of Product Management leadership. As an Executive Assistant, you’re at the center of the team’s business operations and activities, and are relied upon to keep the team moving in a positive, forward direction. You are organized, dependable and able to keep up with changing business needs - using your understanding to strategically support and prioritize your team’s projects. You also have communication skills needed to interact with a variety of people and job functions including customers, partners and vendors. In this role you will work closely with a team of Administrative professionals and manage the day-to-day operations of the office and help keep teams efficient, happy and productive. Responsibilities: Perform an extensive array of core administrative tasks: Effectively manage and maintain complex calendars for Product Leadership. Book complex travel and manage team and executive level expenses. Create, organize and maintain team mailing lists, folders, drives. Organize, plan and execute team events. Respond to questions and requests for information by employees and guests, connecting people with the right reso

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the progress of generative AI, with a focus around frontier evaluations, the science of data around posttraining, agentic applications, trustworthy agents oversight framework and beyond. Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. Additionally, Scale plays an integral role in understanding the capabilities and safeguarding of LLMs. Scale Labs is Scale's frontier research effort dedicated to tackling the challenging research problems in evaluation, agents, post-training, reasoning, safety and alignment of advanced AI systems. The SPRL team is a new effort focused on safety and policy research to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. We’re looking for a VP of Research to lead this charge. This is a critical leadership role where you will blend cutting-edge research with real-world applied ML impact and build a world-class research organization that expands that capabilities of frontier AI systems and develops safeguards to deploy them responsibly. You will shape the technical direction of Scale’s ML research, translate science into production-ready solutions, and partner with go-to-market, delivery, engineering, and customers to ensure our work defines the next era of AI. You’ll lead with vision and clarity, execute with urgency, and grow with intention. What you'll do: Lead the ML Research function, responsible for delivery, quality, performance, and roadmap execution Build and scale a global high-performing team, with an emphasis on initiative ownership and ML excellence Partner directly with Fortune 100 customers and the GTM team to translate business needs into scalable technical solutions Collaborate with engineering, product, and delivery teams across Scale to drive cutting edge

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can turn deep data insights into better business outcomes. We are the Spark Structured Streaming team, responsible for building stream processing into Apache Spark and the Databricks Data Intelligence Platform. Stream processing is still in its early days, and we're here to build not only state-of-the-art streaming technology but also a best-in-class managed offering for customers to run their streaming workloads. The role We're seeking an experienced Staff Engineer to drive the technical direction of Spark Structured Streaming, spanning both open source and Databricks-specific components. Your mission is to make Spark Structured Streaming the state-of-the-art stream processing engine — adding advanced capabilities such as sophisticated state management and new operators, while re-imagining the engine's architecture to drive improvements for latency, throughput, and cost. What you'll do: Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform Design and build core engine capabilities — state management, new operators, and architectural improvements to latency and throughput Raise the bar for engineering quality and operability, building software that is not just high quality but easy to run in production Make company-wide impact by driving stream processing adoption across the Databricks product portfolio Guide long-term architecture and technical-debt decisions, balancing them against the product roadmap Mentor and technically lead engineers on the team, and partner with the Engineering Manager to attract and grow top-tier talent What we look for: BS (or higher) in Computer Science

Traditional engineering roles hand you a task and ask you to implement it. This one hands you a problem and a fleet of AI agents and asks you to ship the solution. The Product Engineer / Builder is a Staff/Principal level individual contributor role , for someone who takes a defined problem and owns the solution end to end. You understand the customer and the problem, then design, build, and ship working software, using AI agents as your primary means of turning direction into product. You combine deep engineering craft with genuine product instinct, and act as a force multiplier rather than a single pair of hands. How You’ll Work Given a problem to solve, you shape the approach and use AI to bring it to life by directing several AI agents in parallel and rigorously reviewing what they produce. An idea sketched in the morning can be a functional prototype by lunch and a working product by the end of the week . You think like a product manager, care like a designer, and build like an engineer. This is not a role for someone who waits to be told exactly what to type. You bring taste and judgment to every decision. It’s your responsibility to know what to build, what not to build, and to prove — through evals, testing, and review — that AI-generated work is reliable enough to ship. You measure success in customer and business outcomes, not tasks completed. Build on What Works, Invent Where It Counts Build rapidly by composing solutions from the best available tools, whether internal or external, and apply your own innovation where it matters most. That means drawing on proven platforms, components, services, and models instead of building everything from scratch, then adding original thinking where there are gaps to close, experiences to elevate, or clear opportunities to differentiate. You know when to leverage what already works, when to extend it, and wh