Senior Software Engineer - Enterprise Applications

Why join usAt Brex, we are pioneering a new era in financial management with our AI-driven spend platform. Our mission is to empower businesses with confidence through integrated corporate cards, banking solutions, and global payments, alongside innovative software for streamlined travel and expense management. We proudly serve tens of thousands of clients, from agile startups to major enterprises, including DoorDash, Flexport, and Compass. Our platform enables proactive spend control, cost reduction, and enhanced efficiency across the globe.Joining Brex means pushing your boundaries, challenging conventional wisdom, and collaborating with some of the most innovative minds in the industry. We are dedicated to fostering a diverse team and an inclusive culture, believing that your potential should only be limited by your ambitions. We provide the tools, resources, and support you need to advance your career.AI at BrexOur AI Engineering team at Brex is transforming how businesses manage their finances by embedding intelligent, autonomous systems directly into our platform. We develop AI agents that not only provide insights but also take actionable steps, optimizing spending, managing workflows, and making real-time decisions for our clients. By seamlessly integrating proprietary financial data with our product and platform infrastructure, we simplify complex financial operations into efficient, automated experiences, establishing a new standard in modern finance.Your RoleAs a Senior Software Engineer, you will take charge of Brex's simulation and validation platform for our AI-driven products. Your primary objective is clear: ensure that every AI interface at Brex undergoes rigorous testing under demanding, realistic conditions, enabling our teams to deploy solutions with confidence.You will develop a system that leverages synthetic data and scenario generation in a recursive self-improvement loop. Product teams will depend on this system to identify regressions before they reach our customers, validate new features safely, and continuously enhance prompts and agent behavior. The platform will operate in isolated, ephemeral environments closely resembling production to ensure reliability.This role is not about research; it's about rigorously testing real products, creatively breaking them, and driving the organization towards improvement.Work EnvironmentThis position is based in our Seattle office, where we embrace a hybrid work culture that combines the vibrancy and connection of in-office collaboration with the flexibility of remote work. Team members are required to be in the office three days a week (Monday, Wednesday, and Thursday), with the option for up to four weeks of fully remote work each year!

Anduril Industries builds advanced defense technology for the U.S. and its allies, with a focus on autonomy, AI, computer vision, sensor fusion, and networking. The company’s flagship platform, Lattice OS, uses AI to deliver a real-time 3D command and control environment, supporting military operations with rapid, integrated solutions. Team focus The Simulation Integrations team bridges Anduril’s high-fidelity simulation engine with the live production services that power Lattice. This group ensures simulated entities, sensors, and autonomous systems interact effectively with real-world assets, supporting seamless operation across both simulated and live domains. Role overview The Senior Software Engineer - Simulation Integrations will design and build a core service that connects robot simulations to live production systems. This work enables advanced capabilities such as wargaming and live-virtual constructive (LVC) exercises, and supports the deployment of synthetic environments for broader system integration. What you will do Develop foundational services linking simulation products with live production environments. Support next-generation features, including complex LVC exercises and wargaming scenarios. Work across the stack: manage network infrastructure, deploy with Kubernetes, build backend services, and design database schemas and APIs. Take ownership of the product lifecycle, from design through deployment and integration.

Anduril Industries develops advanced defense technology for the U.S. and allied military forces, combining expertise from top technology firms with the needs of the defense sector. The company’s products run on Lattice OS, an AI-based operating system that transforms large data streams into a 3D command and control interface. The mission centers on delivering autonomy, AI, computer vision, sensor fusion, and networking capabilities to military teams efficiently. TRS Simulation Team The TRS Simulation team creates the frameworks, tools, and processes that make simulation reliable for the Tactical Recon & Strike business line. Their work covers simulation infrastructure, fidelity, integrations, and training simulations. These efforts support products such as Altius, Ghost, Bolt, and Anvil throughout their lifecycle, from early development to field deployment. Every improvement in simulation fidelity and each validated model directly influences the effectiveness of autonomous systems in real-world missions. The team aims for a unified simulation framework that works seamlessly across all products and deployment targets. This includes developer laptops, CI pipelines, operator training, and large-scale HPC Monte Carlo runs. A single declarative workspace definition can be composed and deployed wherever simulation is required, allowing teams to focus on mission challenges rather than infrastructure. Role overview The Software Engineer - Simulation Integrations role suits an adaptable engineer who thrives on cross-disciplinary work and new challenges. The Sim Integrations sub-team connects the simulation platform with the programs that rely on it. This involves collaborating with program managers, autonomy engineers, systems engineers, operators, and clients across the full range of TRS products and programs. One week may involve setting up a new simulation environment for a field exercise, while the next could focus on refining an existing setup for greater operational efficiency. The pace is quick and priorities may shift, but the team’s simulation environments enable others to create, validate, and deploy autonomous systems. What you will do Understand simulation requirements from different programs Identify gaps in current simulation capabilities Develop actionable plans to address those gaps Execute plans and ensure satisfaction for customers and stakeholders Location Seattle, Washington, United States

Anduril Industries develops defense technology for the U.S. and allied militaries, bringing modern technical expertise and new business models to the defense sector. The company’s Lattice OS, an AI-driven operating system, transforms multiple data streams into a real-time 3D command and control interface. Core areas include autonomy, artificial intelligence, computer vision, sensor fusion, and networking, all delivered on accelerated timelines. Team: TRS Simulation The TRS Simulation team supports the Tactical Recon & Strike business line by building and maintaining tools, frameworks, and processes for reliable and scalable simulations. The group focuses on four main areas: Simulation Infrastructure Simulation Fidelity Simulation Integrations Training Simulations These efforts enable products like Altius, Ghost, Bolt, and Anvil to move from early development through deployment. Each advance in simulation fidelity and every validated model directly impacts the readiness of autonomous systems for field use. The team aims for a unified simulation framework that adapts to developer laptops, CI pipelines, operator training, and large-scale Monte Carlo campaigns, allowing teams to focus on mission goals rather than infrastructure. What you will do This Software Engineer - Simulation Fidelity role focuses on identifying and addressing where simulated components differ from real-world system behavior. Work involves close collaboration with subsystem experts to design, refine, and validate models within the simulation framework. Daily tasks include analyzing gaps, understanding domain-specific challenges, and engineering solutions to improve simulation fidelity. Data is used to validate changes, and problems often involve multi-physics and multi-rate scenarios, both in real-time and accelerated simulations. Validation cycles may extend over months, as improvements are tested against real flight data and integrated into operational systems alongside ongoing product development.

Anduril Industries is a forward-thinking defense technology firm dedicated to revolutionizing military capabilities through cutting-edge technology. By integrating the innovation, expertise, and agile business models of some of the 21st century's most dynamic companies into the defense sector, Anduril is redefining the design, construction, and deployment of military systems. Our systems leverage Lattice OS, an AI-driven operating system that synthesizes extensive data streams into a real-time, 3D command and control interface. In a time marked by strategic competition, Anduril is devoted to providing state-of-the-art autonomy, AI, computer vision, sensor fusion, and networking solutions to military operations faster than ever before.About the RoleWe are on the lookout for a Staff Software Engineer to spearhead our Distributed Simulation initiatives. In this pivotal role, you will take charge of developing a groundbreaking distributed simulation product that facilitates collaboration among diverse robotic units across multiple physical locations. The ideal candidate will have a robust understanding of the entire product lifecycle, from the initial scoping of user requirements through to the architectural design and implementation of viable solutions.Your ResponsibilitiesYou will leverage your expertise to advocate for design decisions that consider:varied interpretations of “truth” between server and clientlatency challenges between clients and the serveroptimal locations for GPU-intensive computationsthe process of registering new robots within the networkdelivering software updates while ensuring system availabilitytransferring data across isolated networksmonitoring simulation states for comprehensive post-exercise debugging and reporting

About Us:Read AI is at the forefront of productivity-enhancing AI solutions, dedicated to empowering individuals and organizations to streamline their workflows across meetings, messaging, and email communication. Our seamless integration with leading platforms such as Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce transforms how teams collaborate, providing an AI copilot that enhances productivity wherever work happens.Having recently secured $50 million in Series B funding led by Smash Capital, along with ongoing support from existing investors Madrona and Goodwater Capital, our total funding now stands at $81 million, marking an exciting phase of growth just six months post-Series A. If you are passionate about developing impactful solutions and eager to contribute to a rapidly growing company, we invite you to be part of our journey!The Role:As a Senior Software Engineer at Read AI, you will play a critical role in shaping the architecture and performance of our product. You will oversee the data flows and machine learning infrastructure, which encompasses real-time audio and video processing, interactions with third-party LLM providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services.Responsibilities:Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.Take ownership of key system components from conception through deployment and maintenance.Implement quality assurance best practices, including unit and integration testing.Optimize data processing pipelines and storage solutions for efficiency.Seamlessly integrate third-party services and data sources into our platform.Monitor and troubleshoot infrastructure and operational issues to ensure maximum uptime and reliability.Continuously assess and adopt best practices, tools, and technologies to improve system scalability, reliability, and maintainability.

Join Anduril Industries as a Senior Modeling and Simulation Engineer, where you'll leverage your expertise in aerospace systems to develop high-fidelity simulations and digital twins for our advanced defense technologies. In this pivotal role, you will contribute to the design and implementation of simulation solutions that support our fleet of innovative drones. Your work will directly influence the development of cutting-edge Guidance, Navigation, and Control (GNC) algorithms, enhancing the capabilities of our autonomous systems in challenging environments.

Senior Backend Software EngineerJoin Read AI's innovative Backend team as a Senior Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and optimizing robust backend systems that fuel our AI-driven productivity platform. Engage in a dynamic, collaborative setting where you’ll deploy code weekly and make a substantial impact on millions of users.Complete your application with a Provn skills assessment.

Read AI develops tools that add intelligence to team collaboration, helping groups stay productive across meetings, messaging, and email. The platform connects with Zoom, Microsoft Teams, Google Meet, and Slack, making it easier for teams to coordinate and move projects ahead from anywhere. With $81 million in backing from Smash Capital, Madrona, and Goodwater Capital, Read AI is expanding its impact on AI-powered teamwork. Role overview This Senior Fullstack Software Engineer position is based at Read AI’s Seattle headquarters. The role involves both hands-on feature development and shaping the technical direction of the product. The engineer will design scalable systems, establish coding standards, and help define the technical roadmap. The work spans complex backend logic and building responsive, reliable user experiences. Read AI values engineers who are comfortable with ambiguity, mentor others, and focus on building systems that stand the test of time. What you will do Architectural leadership: Design and implement scalable web applications and distributed systems across the stack. Technical excellence: Maintain high code quality through code reviews, automated tests, and clear documentation. System ownership: Take responsibility for major product areas from initial design through deployment and ongoing improvement. Cross-functional strategy: Collaborate with Product and Design to shape the roadmap, balancing technical feasibility and scalability. Performance and reliability: Address issues affecting application speed, database performance, and frontend rendering. Mentorship: Support mid-level and junior engineers, encouraging best practices and ongoing learning. DevOps culture: Improve CI/CD pipelines, observability, and infrastructure-as-code. Location This role is on-site at Read AI’s Seattle HQ. Learn more Find additional information at https://www.read.ai/.

About Read AI:At Read AI, we’re transforming team collaboration by infusing intelligence into every conversation. Our innovative platform enhances productivity across meetings, messages, and emails, enabling work to be executed more efficiently and with an enhanced focus. We seamlessly integrate with various tools such as Zoom, Microsoft Teams, Google Meet, Slack, and more, ensuring teams remain synchronized and progressive, whether they are co-located or distributed across different time zones.Supported by $81 million in funding from esteemed investors including Smash Capital, Madrona, and Goodwater Capital, Read AI is on a growth trajectory. If you are passionate about shaping the future of AI-driven collaboration and wish to make a significant impact in a product-focused startup, we would love to connect with you.The Role:As a Senior Software Engineer specializing in Frontend at Read AI, your work will directly influence how users engage with our platform. This pivotal role is essential for enhancing the user experience at Read through impactful features and improvements. Utilizing Typescript and React, you will contribute to our reporting application, billing system, and native note-taking apps (Zoom, Meet, and Teams), as well as Read’s browser extensions.In this position, you will play a key role in both developing new features and guiding the direction of our product roadmap.Responsibilities:Translate product specifications and visual designs from Figma into new features.Work collaboratively with cross-functional teams to design and implement scalable, maintainable APIs.Design and develop responsive, accessible user interfaces that function seamlessly on various devices and browsers.Advocate for and implement best practices in frontend development, focusing on code quality, testing, and performance optimization.Offer insightful feedback to the product team throughout the development lifecycle.Take ownership of specific product workstreams, driving them forward to make a notable impact on Read's future.Requirements:Bachelor's degree or higher in Computer Science/Engineering (preferred) with 5-7+ years of relevant industry experience.Demonstrated experience in frontend development, with in-depth knowledge of Typescript and React.Strong grasp of modern web development practices and responsive design principles.

About the Role:Join our dynamic Mobile Team at Read AI, where we are on a mission to capture and process high-value audio data for our innovative applications. We are dedicated to delivering intelligent, real-time insights across diverse use cases, and we thrive on creativity, collaboration, and technical excellence. Our mobile applications for iOS and Android empower users to capture audio instantly and receive AI-generated transcripts and summaries in real time, ensuring they remain present and engaged in conversations. As we broaden user interactions with Read AI, we are committed to crafting a seamless cross-device experience, allowing users to record, watch, and access Read AI wherever they are.We are seeking a Senior Mobile Engineer who will take significant ownership of our mobile applications and help shape the future of Read AI. This role is critical in scaling high-performance, AI-driven experiences to a wider audience. You will collaborate closely with product, design, and machine learning teams to develop new capabilities, while also raising the standard through mentorship, technical leadership, and robust engineering practices.If you are passionate about creating fast, reliable mobile products and making a real-world impact through AI, we would love to hear from you!Key Responsibilities:Lead major feature areas end-to-end on both iOS (Swift, SwiftUI) and Android (Kotlin, Jetpack Compose), from technical design to implementation, testing, rollout, and iteration.Drive the development of new mobile features and product enhancements, coordinating execution and aligning stakeholders on scope, tradeoffs, and timelines.Enhance real-time audio capture and processing across platforms, utilizing AVFoundation (iOS) and Android audio frameworks to ensure high-quality recordings and accurate transcriptions.Optimize app performance, reliability, battery efficiency, and latency to deliver smooth, real-time AI-powered transcription and summarization.Design and implement AI-driven mobile interactions, including chat-based experiences that enable users to explore, query, and act on meeting reports and insights.Collaborate closely with product, design, and ML teams to prototype and launch innovative mobile UX patterns for conversational AI, making complex information intuitive, fast, and actionable.Evolve mobile architecture patterns, ensuring scalability and maintainability.

Join HackerOne, a global frontrunner in Continuous Threat Exposure Management (CTEM), where we merge advanced AI technology with the talent of the world's largest network of security researchers. Our cutting-edge platform aids organizations in the continuous discovery, validation, prioritization, and remediation of vulnerabilities across code, cloud, and AI systems. With solutions such as bug bounty programs, vulnerability disclosures, agentic pentesting, AI red teaming, and code security, we empower enterprises to achieve a measurable and ongoing reduction in cyber risk. Recognized by industry giants like Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, and government entities like the UK Ministry of Defence and the U.S. Department of Defense, HackerOne is trusted to protect digital ecosystems. Our commitment to innovation has been acknowledged in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report, and we’ve been honored as a Most Loved Workplace for Young Professionals (2024).As we stand at a crucial juncture in the security landscape, offensive security has become a necessity for progressive companies aiming to build trust and resilience in an era where AI-driven advancements and adversaries are evolving rapidly. HackerOne distinguishes itself by combining the brilliance of the largest security research community with an exceptional AI-enhanced platform, earning the confidence of the world’s leading organizations.Our ValuesAt HackerOne, we are committed to nurturing a robust and inclusive culture. Our customer-centric approach drives our decisions and actions, as we are Customer Obsessed and prioritize customer outcomes. We practice Default to Disclosure, emphasizing transparency and integrity to foster trust and accountability. Together, we Win Together by promoting empowerment, inclusion, respect, and accountability across our team, researchers, customers, and partners.Senior Software Engineer, Applied AILocation: Seattle, WA; Austin, TX.Work Schedule: 1 Day Onsite WeeklyPosition OverviewAs a Senior Software Engineer on our AI Platform team, you will play a pivotal role in transforming offensive security through the integration of human and artificial intelligence, thereby creating a safer internet. Your contributions will directly impact the development of our next-generation AI security capabilities, particularly our in-platform AI security agent, Hai. You will be responsible for developing AI-driven features that optimize vulnerability discovery, enhance remediation processes, and much more.

Join HackerOne as a Senior Software Engineer on our cutting-edge AI Platform team. In this role, you will be pivotal in designing and developing innovative AI solutions that enhance our security platform. We are looking for a skilled engineer who thrives in a collaborative environment and is passionate about leveraging technology to solve complex challenges in cybersecurity.

Role Overview Airwallex is hiring a Senior Software Engineer focused on Infrastructure AI in Seattle. This role centers on improving infrastructure systems by applying AI technologies. The position calls for close collaboration with colleagues across different teams to build scalable solutions that strengthen both performance and reliability.

Join the cutting-edge 3D Simulation team at Zoox, where we are on a mission to revolutionize the intersection of machine learning and 3D vision. We are actively seeking talented machine learning engineers to leverage the latest research and innovative techniques to enhance diversity and seamlessly merge simulation with reality. You will have unparalleled access to world-class sensor data and a robust infrastructure for testing and validating your algorithms. Our ML team is dedicated to generating rich, diverse 3D environments, human models, and varied environmental conditions, allowing you to make significant contributions across all these domains.

Join the dynamic 3D Simulation team at Zoox, where innovation meets cutting-edge technology! We are seeking talented Senior Machine Learning Engineers to spearhead the simulation of advanced sensors, including cameras, LiDAR, and radar. By integrating Generative AI and machine learning with state-of-the-art 3D graphics techniques, you will help bridge the gap between simulation and real-world applications. You'll work with unparalleled sensor data and utilize our exceptional infrastructure to rigorously test and validate your algorithms. Collaborate closely with our Sensor Simulation, Perception, and Verification & Validation teams to continually enhance the accuracy and fidelity of sensor simulations. Your contributions will play a pivotal role in generating high-quality synthetic data for training and validating autonomous vehicle AI systems, as well as providing real-time sensor data for hardware-in-the-loop simulations.

Join Aircall, a leading unicorn in AI-powered customer communication solutions, trusted by over 22,000 businesses globally to enhance revenue, accelerate issue resolution, and scale customer-facing teams. We are revolutionizing customer interactions by integrating voice, SMS, WhatsApp, and AI into a unified platform.Our growth is driven by a core principle: empower teams to work smarter, not harder. With innovations like our AI Voice Agent for automating routine calls, AI Assist for optimizing post-call tasks, and AI Assist Pro for providing real-time support, we enable teams to achieve higher revenue and faster resolutions confidently.Headquartered in Paris, with a strong North American hub in Seattle, Aircall also has teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We have developed a beloved product and a high-growth business, supported by top-tier investors and driven by rapid advancements in AI across various product lines.At Aircall, you'll be part of a dynamic and ambitious organization. We prioritize product excellence and execution, allowing for quick decision-making and significant impact.Our Work Culture: We are deeply customer-focused, data-informed, and committed to delivering valuable results. We value ownership, continuous learning, and thoughtful agility. If you excel in a collaborative, fast-paced environment where trust and impact are paramount, you're in the right place.We are seeking a Senior Software Engineer to develop intelligent systems that automate workflows across various internal departments at Aircall. This position merges advanced software engineering expertise with a passion for understanding and automating the workflows of stakeholders in Marketing, Sales, Customer Support, Customer Success, Finance, HR, Legal, Engineering, Product, and other functional areas utilizing AI agents. Ideal candidates should possess curiosity, an affinity for solving complex challenges, and practical experience deploying LLMs in production.

At PitchBook, a subsidiary of Morningstar, we are committed to pioneering the future. Our culture of innovation, collaboration, and continuous improvement fosters an environment where every team member can thrive and contribute to our dynamic ecosystem.We offer extensive learning programs and mentorship opportunities that create a culture of curiosity, empowering our employees to explore new solutions and optimize existing processes. In a fast-paced industry filled with challenges, we excel by pushing our limits and embracing the possibility of failure as a stepping stone to success.If you possess a proactive attitude and a willingness to dive deep into tasks, PitchBook is where your potential can be fully realized.About the Role:As a vital member of our Product and Engineering team, you will collaborate with creative thinkers and innovators dedicated to enhancing our positive impact on customers and the business. We prioritize curiosity and customer empathy, which guide us in developing exceptional product experiences.We believe that collaboration and diverse perspectives are essential for greatness. Our team engages with partners worldwide, fostering a culture built on respect, integrity, and continuous growth. We heavily invest in our employees, who are eager to learn and evolve alongside us. Join us to amplify your career!

About Sobek AISobek AI is at the forefront of creating a secure infrastructure for life sciences innovation and intergovernmental emergency response. With backing of over $10M in grants and funding, we collaborate with internationally recognized organizations to enhance mission-critical, distributed workflows using AI, all while safeguarding intellectual property and sensitive public health data.The RoleWe are seeking a talented Full-Stack Engineer to take ownership of product surfaces from start to finish. This role is high-impact and allows for significant ownership, focusing on transforming complex generative AI workflows into reliable software solutions.What You’ll DoOwn features across the stack: Bring ideas to life from conception to production, including UX flows, React/TypeScript UI, well-defined Python/TypeScript APIs/services, and oversee production rollout and performance measurements.Build intuitive, data-rich interfaces: Create tables, complex forms, document views, and comparisons that are accessible and responsive, tailored for modern generative AI workflows.Design and operate services: Develop clear REST/gRPC/streaming endpoints, model data using SQL/NoSQL and vector stores, implement queues/caches as necessary, and enhance with tracing and metrics.AI orchestration: Improve orchestration to effectively manage multi-LLM workflows with appropriate controls for cost, latency, and security/auditability.Ship quickly and iterate: Prototype, launch behind feature flags, gather feedback and telemetry, and refine based on user input.Collaborate deeply: Work alongside engineers across the stack to translate real-world needs into dependable software solutions.Be a force multiplier: Facilitate reviews and architectural decision records across frontend and backend to establish scalable patterns.About You3+ years of full-time software engineering experience.You have successfully owned and delivered full-stack software in production—from UI (experience with React/TypeScript is a plus) to backend services (experience with Python or Node.js is a plus)—and are familiar with deployment pipelines in product environments where both quality and speed are crucial.You are comfortable designing API contracts (paging, errors, retries) and debugging end-to-end with logs and traces.You can reason about concurrency and understand how to ensure reliability in distributed systems.