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This position is based in New York City, NY and requires in-office attendance two days per week. Candidates must be able to meet this hybrid work requirement. Company-paid relocation assistance is not available. Candidates applying from outside the New York City area should clearly indicate in their resume that they are willing and able to relocate at their own expense. #LI-Hybrid This position requires an in-person interview in New York City, NY. DIRECTV is seeking a System Engineer 2 with strong full stack software development and applied AI experience to build and deploy AI-powered products across our Advertising Technology ecosystem. This is a hands-on coding role with end-to-end responsibility for frontend experiences, backend services, APIs, AI integrations, data access, cloud deployment, and production support. The ideal candidate is product-minded and forward deployed. This person works directly with business users, turns ambiguous needs into working software, prototypes quickly, and then hardens successful concepts into secure, reliable, maintainable applications that deliver measurable business outcomes. This is a software development position, not an infrastructure administration, data science, or machine-learning model development role. Here's what you'll do: Full Stack AI Product Development • Design, code, test, deploy, and operate complete AI-enabled applications, including responsive user experiences, backend services, APIs, data access, and AI orchestration., • Build intuitive conversational and workflow-based interfaces that help business users understand, refine, and act on AI-generated insights., • Set up, configure, and extend AI cowork environments that allow business users to collaborate with AI agents, enterprise knowledge, approved tools, and shared workflow context., • Own features end to end and produce maintainable, well-tested code suitable for enterprise production environments., • Apply sound software design, accessibility, performance, security, and usability practices across the application stack. Applied AI Engineering • Build applications using LLMs, RAG, structured generation, tool calling, agents, semantic search, summarization, classification, and intelligent workflow automation., • Design prompts, context assembly, model routing, validation, guardrails, fallbacks, and human review for reliable business use., • Create evaluation datasets and automated tests for accuracy, groundedness, user value, safety, regression, latency, and cost., • Select the simplest effective approach, including deterministic software or traditional analytics when an LLM is not appropriate. Forward-Deployed Delivery • Partner directly with Ad Sales, Operations, Product, Data, and Engineering teams to observe workflows and identify high-value opportunities., • Translate incomplete requirements into prototypes, test them with users, and iterate rapidly based on evidence and feedback., • Connect technical choices to outcomes such as productivity, decision speed, quality, revenue protection, or reduced operational effort., • Support onboarding, adoption, documentation, training, and continuous improvement after launch. Backend, Data & Enterprise Integration • Develop scalable backend services using modern API, microservice, asynchronous processing, and event-driven patterns., • Integrate applications with enterprise APIs, advertising platforms, Snowflake and other data stores, identity providers, content systems, and workflow tools., • Build secure tool interfaces with clear contracts, authorization, validation, observability, and error handling., • Implement caching, state management, retrieval, and data access patterns that improve quality, performance, and cost. Production Engineering & Quality • Implement CI/CD, infrastructure as code, automated testing, feature controls, monitoring, logging, tracing, alerting, and runbooks., • Diagnose issues across browsers, frontend applications, APIs, models, retrieval, data, cloud services, and external integrations., • Apply security, privacy, responsible AI, and data-governance requirements throughout design and delivery., • Contribute reusable components, development standards, and engineering accelerators. Here's what you'll need: Experience & Education • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field., • 5+ years of professional software engineering experience with substantial hands-on full stack development across frontend and backend systems., • Proven experience delivering customer-facing or internal enterprise applications from concept through production operation., • Practical experience integrating foundation models, agents, retrieval services, and intelligent automation into production software beyond isolated demos or notebooks. Frontend Engineering • Strong experience with TypeScript or JavaScript and a modern UI framework such as React or Next.js., • Experience building accessible, responsive applications with clear state management, component design, testing, and API integration., • Ability to create polished business workflows, not only chat interfaces. Backend & Cloud Engineering • Strong proficiency in Python and frameworks such as FastAPI; experience with Node.js, Java, Go, or C# is also valuable., • Experience designing REST or GraphQL APIs, service integrations, relational and NoSQL data stores, asynchronous processing, and distributed applications., • Hands-on experience with cloud services, containers or serverless deployment, authentication and authorization, CI/CD, testing, and observability. Applied AI Skills • Experience with foundation-model APIs or managed AI platforms and frameworks such as Bedrock, OpenAI, Anthropic, Snowflake Cortex, LangGraph, Semantic Kernel, or comparable technologies., • Working knowledge of RAG, embeddings, vector search, tool calling, agents, context engineering, structured output, prompt management, evaluation, and guardrails., • Proficiency both using and setting up AI cowork environments for business users, including workspace configuration, role-based access, agent and tool integration, shared context, reusable workflows, and user onboarding., • Ability to troubleshoot quality issues across prompts, context, tools, data, models, latency, and application behavior. Collaboration & Communication • Ability to work directly with business users, demonstrate frequently, receive feedback constructively, and turn learning into better software., • Strong written and verbal communication with the ability to explain decisions and tradeoffs clearly., • High ownership, practical judgment, curiosity, and a bias toward delivering usable outcomes. Preferred Qualifications • Experience in advertising, media, AdTech, MarTech, campaign operations, analytics, or other data-intensive business environments., • Experience building workflow, analytics, decision-support, conversational BI, or operational automation products., • Experience with AWS, Snowflake, Kubernetes, vector databases, feature flags, experimentation frameworks, and enterprise design systems., • Experience contributing to shared platforms, component libraries, developer tooling, or reusable AI application patterns., • Portfolio or concrete examples demonstrating ownership of frontend and backend production code. Experience limited primarily to prompt engineering, model experimentation, notebooks, analytics, or ML pipeline development does not meet the requirements of this role. May require a background check due to job duties requiring routine access to DIRECTV and DIRECTV customer’s proprietary data. Qualified applicants with arrest and conviction will be considered for employment in accordance with local ordinances and state law. This role requires, but is not limited to, approximately 10% travel. This position is based in New York City, NY and requires in-office attendance two days per week. Candidates must be able to meet this hybrid work requirement. Company-paid relocation assistance is not available. Candidates applying from outside the New York City area should clearly indicate in their resume that they are willing and able to relocate at their own expense. #LI-Hybrid A career with us comes with big rewards: DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location. The Base Salary range displayed below reflects the minimum and maximum target salary for the position and work location(s) listed in the job posting US Labor Market Zone(s). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. DIRECTV WAGE ZONE N4: $134,516 - $201,653 Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together, it represents a pretty impressive total compensation package. Apply today!

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Us\n Join our team! Zenda is a fast-growing, design-forward SaaS company building an AI-powered workforce process management platform for modern enterprises. Our multi-tenant solution transforms how large organizations manage workflows—driving productivity, efficiency, and compliance through exceptional user experience and cutting-edge engineering. \n The Role\n We are seeking an experienced New York-based Senior Backend / Infrastructure Engineer who wants to own the systems that power Zenda’s SaaS Platform. You will be central to building and scaling a modern, event-driven platform that supports real-time collaboration, data-intensive workflows, and emerging AI capabilities. This is a senior individual contributor role ideal for someone with 5 to 8+ years of experience who loves designing resilient APIs, integrating real-world systems, and owning production infrastructure on AWS. \n You will own and evolve our development platform—designing systems, building services, and creating the automation and tooling that enable teams to ship quickly, safely, and at scale. \n \n Location: NYC (Local candidates only – no relocation offered) \n \n Type: Full-time \n What You’ll DoBackend & Microservices Development\n\n • Contribute hands-on across our backend and infrastructure while establishing long-term engineering foundations.\n, • Design and implement scalable backend services and APIs using Node.js (TypeScript) and Python (FastAPI)\n, • Architect and evolve microservices in a distributed, event-driven environment\n\n DevOps & Infrastructure\n\n • Design and implement Infrastructure-as-Code (Terraform) to provision and manage cloud environments\n, • Build and maintain robust CI/CD pipelines to support secure, repeatable deployments\n, • Operate and scale systems on AWS/Kubernetes, ensuring reliability, performance, and security\n, • Implement monitoring, logging, and distributed tracing\n, • Ensure systems are measurable, debuggable, and resilient in production\n\n AI & Data Enablement\n\n • Build automations and infrastructure that support AI-driven workflows and data pipelines\n, • Develop systems that power AI agents, data processing, and model integration\n, • Partner with data and product teams to enable scalable, production-ready AI capabilities\n\n Platform & Developer Enablement\n\n • Own and continuously improve the developer experience across environments, tooling, and workflows\n, • Build internal platforms, automation, and tooling that enable teams to develop, test, and deploy efficiently\n, • Establish and evolve standards for CI/CD, local development, and service orchestration\n\n Technical Leadership\n\n • Lead critical platform initiatives and drive architectural decisions\n, • Mentor engineers through design reviews and hands-on collaboration\n, • Raise the bar for engineering quality, pragmatism, and delivery\n\n Tech Stack\n\n • Backend: (Node.js/Typescript/Nest.js), (Python/FastAPI)\n, • Infrastructure: AWS, Teraform, Kubernetes, Redis, Kafka, Postgres, Clickhouse\n, • Frontend: React\n\n What We’re Looking For\n\n • Minimum 5+ years building and operating production-grade backend and distributed systems\n, • Strong hands-on experience with Node.js (TypeScript) and/or Python\n, • Deep understanding of microservices and event-driven architectures\n, • Experience with message brokers (Kafka, RabbitMQ, pub/sub)\n, • Strong data modeling skills across relational and/or NoSQL systems\n, • Experience building CI/CD pipelines, infrastructure automation, and cloud-native systems\n, • Proficiency with Docker, Kubernetes, and major cloud platforms (AWS preferred)\n, • Experience building or supporting AI/data pipelines, automations, or ML-enabled systems\n, • Familiarity with modern AI tooling and architectures (LLMs, embeddings, agents) is a strong plus\n, • Comfortable working across multiple layers of the stack (infra → backend → data)\n, • Strong ownership mindset with the ability to lead and execute independently\n, • Curious, adaptable, and eager to learn new technologies—especially in AI and platform evolution\n, • Clear communicator who collaborates effectively across engineering, product, and design\n\n \n Even if you don’t meet every requirement, we encourage you to apply. We value strong fundamentals, curiosity, and the ability to grow across platform, backend, and AI. Why Join Us?\n\n • Modern Stack: Work with a progressive tech stack powering real-time, collaborative software\n, • User-Centric Culture: Our design-first approach means building software people love to use\n, • Make an Impact: Contribute to product strategy and architecture in a fast-moving environment\n, • Grow with Us: Join a mission-driven team with opportunities to mentor, lead, and learn\n\n \n If you're passionate about building scalable, event-driven systems that support seamless real-time collaboration, we want to hear from you. \n \n Important: This role requires residency in the New York City area. We are not offering relocation assistance at this time. \n

About Photon \n \n Photon is a Digital Engineering and Digital Modernization company founded in 1999. We partner with leading global enterprises, including Fortune 500 organizations, to build and modernize digital platforms and deliver exceptional digital experiences. \n \n Role Overview \n \n Role: Senior Android Engineer \n Work Location: Berkeley Heights, NJ \n Secondary Locations: Alpharetta, GA and Frisco, TX. \n \n We are looking for a Senior Android Engineer with strong hands-on experience developing and supporting Android applications. The role requires expertise in Android development, REST API integration, SQLite, WebView, and managing application UI and performance on low-memory devices. \n \n Key Responsibilities \n \n\n • Design, develop, enhance, and support Android applications.\n, • Integrate Android applications with backend services using REST APIs.\n, • Work with SQLite for local data storage.\n, • Develop and support application functionality using WebView.\n, • Develop and manage user interfaces optimized for low-memory devices.\n, • Optimize application behaviour and UI performance for resource-constrained devices.\n, • Troubleshoot Android application, device, UI, and API integration issues.\n, • Write and maintain unit tests.\n, • Perform and support API testing.\n, • Follow secure coding practices for application development.\n, • Monitor and troubleshoot application issues using Datadog and Grafana, where applicable.\n, • Use GitHub for source code management.\n, • Use Jira for tracking development activities, issues, and defects.\n, • Support debugging and resolution of application issues across development and production environments.\n\n \n Required Qualifications \n \n\n • Minimum 8+ years of relevant software engineering experience.\n, • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.\n, • Strong hands-on experience with Android application development.\n, • Experience integrating Android applications with backend services using REST APIs.\n, • Hands-on experience with SQLite for local data storage.\n, • Experience developing and supporting application functionality using WebView.\n, • Experience developing and managing UI for low-memory devices.\n, • Experience with GitHub and Jira.\n, • Strong understanding of unit testing and writing test cases.\n, • Experience with API testing.\n, • Understanding of secure coding practices and mobile application security.\n, • Experience with Datadog and/or Grafana for application monitoring and troubleshooting.\n, • Strong debugging, problem-solving, and troubleshooting skills.\n\n \n Preferred Qualifications \n \n\n • Good knowledge of Kotlin and Java for Android development.\n, • Experience with Android SDK and modern Android development practices.\n, • Understanding of Android UI performance optimization and memory management.\n, • Knowledge of mobile application security best practices.\n, • Experience with JUnit, Espresso, or other Android testing frameworks.\n, • Experience with Postman or similar tools for API testing.\n, • Understanding of Android lifecycle management and device compatibility.\n, • Experience working in Agile/Scrum development environments.\n, • Experience developing and maintaining large-scale enterprise Android applications.\n\n

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer role (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Capital One is open to hiring a Remote Employee for this opportunity. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer\n \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Title: Go Platform Engineer \n Location: Jersey City, NJ 07310 \n Employment Type: W2 Contract Only \n Experience Required: 5–7+ Years \n Interview Process: 2 Rounds \n\n • Round 1: Hands-on Technical Coding\n, • Round 2: Scenario-Based Interview\n\n Job Description \n\n • We are looking for a Senior Go Platform Engineer with strong hands-on GoLang development experience to build and maintain cloud foundation services and platform solutions for public cloud environments.\n, • The ideal candidate should have a strong software development and DevOps/SRE background, with expertise in GoLang, API development, multithreading concepts, and CI/CD practices. The role primarily focuses on backend API and platform development, with no UI or web development responsibilities.\n, • Candidates must demonstrate strong hands-on coding skills. Previous candidates have fallen short due to limited coding experience and a background focused more on infrastructure administration or SRE operations rather than software development.\n\n Required Skills & Qualifications \n\n • Strong hands-on experience with GoLang (Golang) development and coding.\n, • Experience developing and building APIs using GoLang.\n, • Strong understanding of multithreading and concurrency concepts.\n, • Experience working in DevOps/SRE environments.\n, • Hands-on experience with CI/CD pipelines, Jenkins, and IAM.\n, • Basic working knowledge of Kubernetes; Kubernetes experience is preferred.\n, • Experience building and supporting cloud foundation services and platform solutions.\n, • Strong software development background with the ability to write, troubleshoot, and optimize code.\n, • Experience working across the software development lifecycle.\n\n Nice-to-Have Skills \n\n • Experience with AWS, particularly Amazon EKS.\n, • Experience with Terraform.\n, • Python development experience.\n\n Additional Qualifications & Responsibilities \n\n • Strong expertise in Amazon Web Services (AWS) and Microsoft Azure technologies, architecture, and design techniques.\n, • Experience working across large-scale environments involving multiple operating systems and infrastructure platforms.\n, • Ability to contribute to large-scale enterprise programs and serve as a technical resource across teams.\n, • Multi-skilled with expertise across the software development lifecycle and associated tools.\n, • Strong understanding of Agile methodologies and the ability to contribute to and support Agile teams.\n, • Ability to mentor and coach others in at least one technical skill.\n, • Strong understanding of:\n, • Continuous Integration and Continuous Delivery (CI/CD).\n, • Test-Driven Development (TDD).\n, • Cloud Development.\n, • Application resiliency and security.\n, • Ability to stay updated on emerging technologies and industry trends and apply them to support business objectives.\n, • Ability to influence the adoption of new technologies and best practices across engineering teams.\n\n Ideal Candidate Profile \n\n • A senior, hands-on GoLang engineer with strong API development and coding capabilities, supported by experience in DevOps/SRE and cloud environments. The candidate should be comfortable developing backend platform services, working with Kubernetes-based environments, and contributing to enterprise-scale cloud infrastructure initiatives.\n

Yank Technologies, Inc. is a wireless power startup in Brooklyn, New York. We develop long-range, high power wireless charging technology. Safe. Simple. No contact required. With patented coil and amplifier developments in resonant inductive technology, we provide a scalable solution for variable ranges of power and distances. We have multiple aerospace, military, mobility, and industrial customers for a range of applications, such as wirelessly charging robotic vehicles on the Moon and terrestrial industrial automation systems. \n \n The Electromagnetic Engineer will lead the design, analysis, and optimization of magnetic structures and resonant systems for near-field wireless power transfer applications. This role focuses on high-current, high-Q magnetic design rather than traditional RF antenna development. The ideal candidate has hands-on experience with power magnetics, including inductors, transformers, resonant structures, and wireless power systems operating in the low MHz range. \n \n This position requires a practical engineer capable of bridging EM theory with real-world implementation. Responsibilities include high-Q coil development, magnetic modeling, parasitic and thermal analysis, coupling optimization, shielding strategies, and integration into compact electromechanical systems. Candidates should understand challenges associated with operating magnetic and power electronic systems at low MHz frequencies, including skin and proximity effects, EMI/EMC considerations, and material selection. \n \n This role is highly technical and research-oriented, with opportunities to directly influence the next generation of wireless power technology. The Electromagnetic Engineer will contribute to advancing proprietary high-Q resonant coil architectures and help push the limits of efficiency, alignment tolerance, power density, and system scalability \n \n Competitive compensation includes a base salary, healthcare benefits, and stock options in the company. \n \n The primary responsibilities of the Electromagnetic Engineer are as follows: \n \n\n • Design and optimize high-Q resonant coil systems for wireless power transfer applications operating in the low MHz range (6.78MHz and similar frequencies) \n, • Develop custom magnetic structures including inductors, transformers, resonant coils, and shielding solutions for high power density systems \n, • Perform electromagnetic analysis focused on coupling, parasitics, losses, thermal effects, and efficiency optimization under real-world operating conditions \n, • Collaborate with power electronics engineers on system-level integration \n, • Design, prototype, test, and validate magnetic components and wireless power assemblies in laboratory environments \n, • Improve coil architectures with emphasis on quality factor (Q), alignment tolerance, manufacturability, thermal performance, and power transfer efficiency \n, • Evaluate magnetic materials, conductor technologies, ferrite structures, and packaging approaches for compact wireless power systems \n, • Support EMC/EMI analysis and mitigation strategies\n, • Work cross-functionally with mechanical, systems, and manufacturing teams to transition designs from prototype to production \n\n \n Qualifications Required \n \n\n • Master’s Degree in Electrical Engineering \n, • 3+ years of full-time experience in magnetics design, or wireless power applications \n, • Strong experience modeling and validating magnetic components and resonant structures using tools such as Ansys Maxwell, CST, or equivalent \n, • Hands-on experience designing, prototyping, testing, and manufacturing custom magnetic components \n, • Experience designing planar magnetics, inductors, transformers, or high-Q coil systems \n, • Understanding of skin effect, proximity effect, parasitic behavior, and thermal considerations in high-frequency magnetic systems \n, • Hands-on laboratory debugging and hardware validation experience required \n, • Excellent oral and written communication skills \n, • US Citizen or US Permanent Resident \n, • Ability to operate in a fast-paced environment, make effective and timely decisions, solve problems, and facilitate organizational and procedural changes \n, • Passion for advancing next-generation wireless power technologies\n\n \n Qualifications Preferred \n \n\n • PhD in Electrical Engineering \n, • Prior experience in wireless power transfer or resonant power conversion systems \n, • Prior experience in automotive, industrial, or aerospace industries \n, • Prior experience in high power density applications \n, • Prior experience leading engineering development efforts or mentoring engineers \n, • Prior startup experience\n

AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n Get Data In (GDI) Integrations Content team at Next Gen-SIEM is responsible for building out of the box integrations for 3rd party products to ingest and parse data into SIEM platform. We are looking for a passionate Security Engineer with expertise in data ingestion and integration for SIEM. This role focuses on designing, developing, and maintaining out of the box data connectors for CrowdStrike Next-Gen SIEM, ensuring seamless ingestion of security data from various third-party products. \n \n The ideal candidate has hands-on experience in cybersecurity, data ingestion pipelines, log collection mechanisms, and security event processing. You should be well-versed in industry-standard data ingestion and integration methods and possess strong knowledge about security products and platform \n \n This role is hybrid, on-site at our NYC Office Location. Candidates should be comfortable visiting the office twice a week once the development center is established. \n \n What You'll Do: \n\n • \n Evaluate, develop, maintain, and enhance data connectors and parsers to ingest data from third-party security products into CrowdStrike Next-Gen SIEM \n • \n Set up and maintain a lab or test environment for security products to validate data connectors and troubleshoot issues \n • \n Troubleshoot and resolve issues with existing data connectors to ensure reliable log ingestion \n • \n Collaborate with internal teams to define efficient logging, error handling, data normalization and documentation for data connectors \n • \n Research and implement best practices for ingesting security logs from Firewalls, IDS/IPS, Cloud Security products, Endpoint Security, and other security products and platforms \n • \n Write and maintain high-quality technical documentation for integration methods and troubleshooting guides \n • \n Provide on-call support for critical data ingestion issues and production incidents \n • \n Work with customers, customer success and customer support teams to troubleshoot and resolve data ingestion-related issues and ensure effective communication \n\n \n What You'll Need: \n\n • \n Bachelor’s or Master’s degree in Computer Science or related field or equivalent work experience. \n • \n 6+ years of experience in cybersecurity and SIEM integrations \n • \n Experience in developing data connectors or ingestion pipelines for SIEM platforms such as Splunk, Sentinel, Exabeam, QRadar etc. \n • \n Experience in security data normalization schemas, parsing and data enrichment \n • \n Experience in setting up and managing environments for security products such as Firewalls, IDS/IPS, EDR, CASB, Identity Security, Email Security etc. \n • \n Experience with security events and its formats such as Syslog, CEF, LEEF, JSON, XML \n • \n Working knowledge of log processing or shipping tools such as Cribl, Splunk forwarder, Azure monitoring agent, LogScale log collector etc. \n • \n Working knowledge on cloud-native logging services such as AWS CloudWatch, Azure Monitor, or GCP Logging \n • \n Proficiency in at least one programming language, preferably Python or Go \n • \n Strong documentation, communication and customer interaction skills \n • \n Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. \n\n \n #LI-SS1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n We're looking for a Senior UI Platform Engineer to lead the design and build of the shared developer tooling foundation for our next-generation front end. It's a strategic role for someone who wants to shape how hundreds of UI engineers scaffold, build, integrate and ship their code across the organisation. \n \n UI Platform owns the paved road for UI engineering at CrowdStrike. As Product Groups migrate onto the new UI, we're consolidating developer tooling, build infrastructure, dependency management and CI into a single internal platform that teams pick up themselves. This role is central to that mission and you'll build the module federation foundations, build pipelines, scaffolding and automation that every UI team relies on to stay productive at scale. \n What You'll Do: \n \n\n • Own the module federation architecture that lets dozens of Product Groups ship independent microfrontends into a single UI shell, keeping contracts stable, versions honest and cross-team breakage rare.\n, • Lead the shared Vite build and dev-server tooling that every UI engineer runs locally and in CI, keeping hot reload fast, sub-package watch reliable and cold starts honest.\n, • Design and run the CI pipelines that build, verify and publish every UI package across GitLab CI and Jenkins, keeping them fast, cacheable and giving engineers a clear signal when something breaks.\n, • Ship the single CLI that is the front door to the platform to scaffold a repo, wire it into module federation, run its tests, cut a release with one command for everything a UI engineer does locally and in CI.\n, • Wire automated dependency management (Renovate), security scanning and AI-assisted upgrades into the paved road so version bumps, vulnerability response and monorepo hygiene don't fall on individual teams.\n, • Shift left: move linting, type checks, build validation and contract checks into the developer's editor and pre-push hooks so engineers catch issues in seconds, not in a failed pipeline twenty minutes later.\n, • Work with UI Quality, UI Release and Observability so the platform feels like one thing through a single CLI.\n, • Pair with Product Group leads to migrate legacy build and tooling patterns onto the paved road and get the tooling strategy adopted across the organisation.\n, • Mentor engineers on build tooling, module federation and monorepo patterns, and give thoughtful code review across the platform and its consumers.\n, • Build the ephemeral environments and preview deployments per MR so engineers get fast, honest feedback on their changes before they merge.\n\n What You'll Need: \n \n\n • You've built shared frameworks, tooling or platforms that other engineers rely on day to day.\n, • You know Vite and modern front-end build tooling well, and you're comfortable diagnosing issues deep in the module graph.\n, • You've shipped module federation (or equivalent microfrontend architecture) in production at scale, and you understand the versioning, contract and runtime pitfalls.\n, • You're fluent in TypeScript, monorepo tooling (Nx, Turborepo or similar) and modern package management (pnpm workspaces).\n, • You've designed GitLab CI pipelines that stay fast and reliable and give engineers a clear signal when something breaks.\n, • You've automated dependency management (Renovate or similar) and pulled security tooling (SAST, SCA, Snyk) into developer workflows.\n, • You've set engineering standards that autonomous teams have genuinely adopted, and you can influence senior engineers and leaders when it matters.\n, • You've used AI in earnest to change how engineering work gets done, not as a novelty.\n, • You don't need to tick every box. If most of the "What you'll need" list sounds like you, we'd like to hear from you.\n, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n\n \n Bonus Points: \n \n\n • Playwright and modern browser test tooling wired into CI as a fast, reliable signal.\n, • Running Jenkins alongside modern CI during a platform migration.\n, • Ephemeral preview environments per MR and the infrastructure automation behind them.\n, • Developer experience metrics like DORA or SPACE, and using them to drive tooling investment.\n, • Contract testing between federated remotes in a large distributed front end.\n\n \n #LI-GO1 \n \n Benefits of Working at CrowdStrike: \n\n • Market leader in compensation and equity awards\n, • Comprehensive physical and mental wellness programs \n, • Competitive vacation and holidays for recharge \n, • Paid parental and adoption leaves\n, • Professional development opportunities for all employees regardless of level or role\n, • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections\n, • Vibrant office culture with world class amenities\n, • Great Place to Work Certified™ across the globe\n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing this website, submitting an application, requesting an accommodation, or providing feedback on the job posting, please contact us at recruiting@crowdstrike.com. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n \nCrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n CrowdStrike Falcon is the industry standard in cloud‑native cybersecurity and threat hunting, processing trillions of events per day. As a Principal SRE, you will operate at the intersection of our Core Platform and Embedded Reliability charters: building the foundational libraries, services, and tooling that every product group depends on, while embedding directly with product engineering teams and their leadership to drive reliability outcomes at scale. \n \n While we embrace the SRE moniker, at CrowdStrike it means something far more service‑oriented and engineering‑heavy than traditional operations. This is hands‑on systems engineering — writing production code, re‑architecting critical systems, and eliminating entire classes of failure — not ticket management. It is far and away our most self‑driven and autonomous backend engineering role, with the freedom to move up, down, and laterally across the stack as needed. \n \n You'll join a group with bottom‑up visibility and ownership of a fast‑expanding codebase (including AI‑based Detection & Response) and a far‑reaching mandate for service resiliency. Several key feature additions and critical re‑architecture initiatives are underway: deploying core services to additional cloud providers, modularizing into reusable components, improving core libraries and frameworks, maturing observability tooling (tracing, profiling, alerting, SLOs), and automating away manual toil across all of the above. Recent examples of the team's work include introducing adaptive concurrency into our core Kafka library to implement flow control that protects database performance, resolving critical issues in leader election libraries, and building infrastructure‑as‑code tooling that eliminated manual deployment processes. \n \n At the Senior Engineer level, your influence is organizational. Product engineers and engineering leaders will come to you for guidance on architectural decisions because you've earned credibility through hands‑on work and delivered results. You will shape architectural choices that affect every feature development team and provide shared architectural components leveraged throughout the Falcon Platform — including Unified Search, Protobuf libraries, and other shared‑tier infrastructure. \n \n Why This Role Matters: Our customers depend on us to protect their businesses from sophisticated threats, and reliability isn't optional — it's fundamental to our mission. Your work directly impacts whether organizations around the world can defend themselves against cyberattacks. You'll work on problems that matter, at a scale few companies can match, with the autonomy to make real architectural decisions. \n \n This is a hybrid role, with employees typically working 2 to 3 days per week in the office. Offices are in Midtown Manhattan, NY; Redmond, WA; Sunnyvale, CA; and Austin, TX. \n \n What You'll Do: \n\n • Partner with engineering leadership across multiple product groups to define and drive multi‑year reliability roadmaps.\n, • Design and implement architectural improvements to services, libraries, and platforms that impact teams across all of CrowdStrike.\n, • Develop and maintain services that meet aggressive reliability and scalability demands.\n, • Extend and build new libraries for cross‑cutting concerns spanning CrowdStrike's cloud platform, which comprises hundreds of libraries and services.\n, • Lead initiatives around reliability, scalability, performance, and cost efficiency in large‑scale distributed systems.\n, • Establish foundational observability practices: ensure teams instrument services properly, react to signals effectively, and leverage observability to drive automation such as continuous delivery.\n, • Define and implement service‑level objectives and error budgets that drive real decision‑making and prioritization.\n, • Lead performance and cost optimization efforts: profiling, bottleneck analysis, capacity planning, and cloud efficiency improvements.\n, • Conduct resilience engineering: chaos experiments, failure injection, failure modeling, and designing for graceful degradation.\n, • Design and implement automation and infrastructure‑as‑code to improve infrastructure reliability and eliminate manual toil.\n, • Provide technical leadership during complex incidents and ensure follow‑through on retrospectives with concrete improvements that eliminate entire classes of failures.\n, • Identify opportunities to extract common patterns into shared libraries and tools, or partner with platform teams on improvements benefiting multiple product groups.\n, • Continuously re‑evaluate our products to improve architecture, knowledge models, developer and user experience, performance, and stability.\n, • Drive strategic technical decisions and influence infrastructure and operational improvements across the organization.\n, • Mentor and coach engineers, raising the technical IQ of the team and driving architectural standards across the org.\n, • Use and give back to the open source community; evangelize software engineering best practices, especially as they pertain to Go.\n, • Brainstorm, define, and build collaboratively with members across multiple teams as an energetic self‑starter who owns and is accountable for deliverables.\n\n \n What You'll Need: \n\n • 10+ years of experience building and operating distributed systems and service‑oriented backends at scale.\n, • 5+ years developing microservices for a SaaS product in a modern backend language (Go, Java, Scala, Kotlin, Python, Node.js).\n, • Expert‑level proficiency in at least one programming language, with expert‑level Go or demonstrated ability and willingness to reach expert level in Go.\n, • Deep understanding of distributed systems: consensus algorithms, replication, consistency models, failure modes, and scalability patterns.\n, • Proven experience scaling backend systems — sharding, partitioning, horizontal scaling, capacity planning, and performance optimization are second nature.\n, • Deep understanding of multi‑threading, concurrency, and parallel processing.\n, • Track record of making impactful architectural decisions at organizational scope and seeing them through to production.\n, • Strong systems thinking and the ability to influence without direct authority across organizational boundaries.\n, • Thorough command of engineering best practices: appropriate testing paradigms, effective peer code review, and resilient architecture.\n, • Ability to thrive in a fast‑paced, test‑driven, collaborative, and iterative environment; strong team‑player orientation.\n, • A desire to ship code and a love of seeing your bits run in production.\n, • Degree in Computer Science, or commensurate experience in data structures, algorithms, and distributed systems.\n, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n\n \n Bonus Points: \n\n • Experience driving reliability improvements in organizations with hundreds or thousands of microservices. \n, • Deep knowledge of Kubernetes or other large‑scale orchestration systems. \n, • Hands‑on experience with AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, or similar large‑scale distributed technologies. \n, • Experience with Google Cloud Platform (GCP).\n, • Experience with Oracle Cloud Infrastructure (OCI).\n, • Experience delivering or operating services across multiple cloud providers, including multi‑cloud abstraction layers, portability, and cloud‑agnostic tooling. \n, • Track record of building internal platforms, developer platforms, or tools that other engineers depend on. \n, • Experience with infrastructure cost optimization at scale. \n, • Background in performance engineering: profiling, optimization, and identifying system bottlenecks. \n, • Experience with chaos engineering or resilience testing practices. \n, • History of establishing SLO/SLI frameworks and error budgets in production environments.\n, • Contributions to the open source community (GitHub, Stack Overflow, technical blogging). \n, • Prior experience in the cybersecurity or intelligence fields.\n\n \n #LI-MP2 \n #LI-SF1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n As a Senior Engineer (Typically equivalent to Staff or Sr Staff titles in other companies) in our Reliability team, you'll work directly within CrowdStrike product groups alongside product engineers and their leadership. You'll partner with engineering leaders to shape reliability roadmaps while doing hands-on work solving complex distributed systems problems at scale. This is hands-on systems engineering work focused on writing code, building foundational infrastructure, and solving complex problems rather than day-to-day operations or ticket management. While we embrace the SRE moniker, you'll find that it means something much more service-oriented at Crowdstrike, and affords you no shortage of Golang development initiatives, as well as the freedom to move up/down and laterally across the stack as & when needed. It is far and away our most self-driven & autonomous backend development role. \n CrowdStrike Falcon processes trillions of events per day. You'll work on the critical production systems that power this platform by improving, rearchitecting, and scaling them to meet growing demands. You'll write production code, debug complex distributed systems issues, and tackle problems spanning scale and resiliency, performance engineering, foundational observability and instrumentation, cost optimization, and failure modeling. \n Product engineers and engineering leaders will come to you for guidance on architectural decisions because you've earned credibility through hands-on work and delivering results. You'll ensure follow through on incident retrospectives with concrete improvements that eliminate entire classes of failures. You'll identify opportunities to extract common patterns into shared libraries or tools, or partner with platform teams on improvements that benefit multiple product groups. Recent examples from the team include resolving critical issues in leader election libraries and building infrastructure-as-code tools that eliminate manual deployment processes. \n Why This Role Matters: CrowdStrike Falcon is the industry standard in cloud-native cybersecurity and threat hunting. Our customers depend on us to protect their businesses from sophisticated threats, and reliability isn't optional - it's fundamental to our mission. As an Embedded SRE, your work directly impacts whether organizations around the world can defend themselves against cyberattacks. You'll be working on problems that matter, at a scale that few companies can match, with the autonomy to make real architectural decisions. \n \n This position requires candidates to work 2 to 3 days per week in one of our offices in Midtown Manhattan, NY; Redmond, WA; Sunnyvale, CA; or Austin, TX. It's a hybrid role, with employees typically working 2 to 3 days per week in the office, on average. \n \n What You'll Do: \n\n • Partner with engineering leadership across multiple product groups to define and drive multi‑year reliability roadmaps.\n, • Design and implement architectural improvements to services, libraries, and platforms that impact teams across all of CrowdStrike.\n, • Develop and maintain services that meet aggressive reliability and scalability demands.\n, • Extend and build new libraries for cross‑cutting concerns spanning CrowdStrike's cloud platform, which comprises hundreds of libraries and services.\n, • Lead initiatives around reliability, scalability, performance, and cost efficiency in large‑scale distributed systems.\n, • Establish foundational observability practices: ensure teams instrument services properly, react to signals effectively, and leverage observability to drive automation such as continuous delivery.\n, • Define and implement service‑level objectives and error budgets that drive real decision‑making and prioritization.\n, • Lead performance and cost optimization efforts: profiling, bottleneck analysis, capacity planning, and cloud efficiency improvements.\n, • Conduct resilience engineering: chaos experiments, failure injection, failure modeling, and designing for graceful degradation.\n, • Design and implement automation and infrastructure‑as‑code to improve infrastructure reliability and eliminate manual toil.\n, • Provide technical leadership during complex incidents and ensure follow‑through on retrospectives with concrete improvements that eliminate entire classes of failures.\n, • Identify opportunities to extract common patterns into shared libraries and tools, or partner with platform teams on improvements benefiting multiple product groups.\n, • Continuously re‑evaluate our products to improve architecture, knowledge models, developer and user experience, performance, and stability.\n, • Drive strategic technical decisions and influence infrastructure and operational improvements across the organization.\n, • Mentor and coach engineers, raising the technical IQ of the team and driving architectural standards across the org.\n, • Use and give back to the open source community; evangelize software engineering best practices, especially as they pertain to Go.\n, • Brainstorm, define, and build collaboratively with members across multiple teams as an energetic self‑starter who owns and is accountable for deliverables.\n\n \n What You'll Need: \n\n • 10+ years of experience building and operating distributed systems and service‑oriented backends at scale.\n, • 5+ years developing microservices for a SaaS product in a modern backend language (Go, Java, Scala, Kotlin, Python, Node.js).\n, • Expert‑level proficiency in at least one programming language, with expert‑level Go or demonstrated ability and willingness to reach expert level in Go.\n, • Deep understanding of distributed systems: consensus algorithms, replication, consistency models, failure modes, and scalability patterns.\n, • Proven experience scaling backend systems — sharding, partitioning, horizontal scaling, capacity planning, and performance optimization are second nature.\n, • Deep understanding of multi‑threading, concurrency, and parallel processing.\n, • Track record of making impactful architectural decisions at organizational scope and seeing them through to production.\n, • Strong systems thinking and the ability to influence without direct authority across organizational boundaries.\n, • Thorough command of engineering best practices: appropriate testing paradigms, effective peer code review, and resilient architecture.\n, • Ability to thrive in a fast‑paced, test‑driven, collaborative, and iterative environment; strong team‑player orientation.\n, • A desire to ship code and a love of seeing your bits run in production.\n, • Degree in Computer Science, or commensurate experience in data structures, algorithms, and distributed systems.\n, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n\n \n Bonus Points: \n\n • Experience driving reliability improvements in organizations with hundreds or thousands of microservices. \n, • Deep knowledge of Kubernetes or other large‑scale orchestration systems. \n, • Hands‑on experience with AWS, Cassandra, Kafka, Elasticsearch/OpenSearch, or similar large‑scale distributed technologies. \n, • Experience with Google Cloud Platform (GCP).\n, • Experience with Oracle Cloud Infrastructure (OCI).\n, • Experience delivering or operating services across multiple cloud providers, including multi‑cloud abstraction layers, portability, and cloud‑agnostic tooling. \n, • Track record of building internal platforms, developer platforms, or tools that other engineers depend on. \n, • Experience with infrastructure cost optimization at scale. \n, • Background in performance engineering: profiling, optimization, and identifying system bottlenecks. \n, • Experience with chaos engineering or resilience testing practices. \n, • History of establishing SLO/SLI frameworks and error budgets in production environments.\n, • Contributions to the open source community (GitHub, Stack Overflow, technical blogging). \n, • Prior experience in the cybersecurity or intelligence fields.\n\n \n #LI-MP2 \n #LI-SF1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n The CrowdStrike Cloud Detection Engine (CDE) team is building a powerful, next-generation platform designed to be a force multiplier for security teams. Our platform empowers customers who leverage multiple Falcon products to create and manage advanced, unified detections and content. This core platform capability is a strategic imperative for CrowdStrike, aiming to provide a competitive advantage that is difficult to replicate, ensuring our customers have unparalleled detection and response capabilities across the entire Falcon ecosystem. \n \n We build the real-time data systems behind CrowdStrike's detection pipeline. Our team owns the streaming engine that processes all first-party sensor telemetry and maintains a petabyte-scale graph of real-time system activity, and the distributed correlation engine that evaluates trillions of events a day to catch multi-stage attacks that no single event can surface. Both systems are at the core of how CrowdStrike finds adversaries. \n \n We're looking for someone who is excited about working in systems programming: custom query languages, graph databases, state machines, performance work where microseconds matter. We ship fast, we build with modern tooling including AI in our dev workflow, and own everything end to end from design to production \n \n This role is hybrid, requiring 2-3 days per week on-site at the posted location. \n About the Role: \n We are seeking a Senior Engineer II to join the CDE Platform team. In this role, you will be instrumental in designing, building, and scaling the foundational services that orchestrate data, content, and execution logic across CrowdStrike’s products (e.g., NGSIEM, FCS, Endpoint). You will be a key driver in creating a highly performant, scalable, and resilient platform that processes internet-scale data streams and enables real-time detection generation. \n \n What You'll Do: \n\n • Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products\n, • Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale\n, • Brainstorm, define and build collaboratively with members across multiple teams\n, • Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team\n, • Be mentored and mentor other developers on web, backend, and data storage technologies and our system\n, • Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability\n, • Be given the autonomy to own your work in a high trust environment\n\n \n The technology stack you’ll use will include: \n\n • Go (Golang) or C++\n, • AWS/GCP/Azure/Kubernetes\n, • Kafka\n, • GIT\n, • Cassandra\n, • Docker\n, • Redis\n\n \n What You'll Need: \n\n • Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)\n, • Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc\n, • Being a team player\n, • A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.\n, • The ability to thrive in a fast-paced, test-driven, collaborative and iterative programming environment.\n, • The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.\n, • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n\n \n Bonus Points: \n\n • Contributions to the open-source community (GitHub, Stack Overflow, blogging)\n, • Existing exposure to Go or C++, Scala, AWS, Cassandra, Kafka, Elasticsearch...\n, • Prior experience in the cybersecurity or intelligence field\n, • Experience in thinking about, designing, or implementing programming languages and/or compilers\n, • Interesting hobbies\n\n \n \n #LI-SS1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n

Job Description THIS IS A TEST JOB - DO NOT APPLY This listing is used to test ZipRecruiter job sync and sponsorship integration for the Betterteam ATS platform. It is not a real job opening. If you have reached this listing in error, please disregard it. No applications will be reviewed or responded to. Technical details: Testing POST/PUT sync, state transitions (Posted/Stale/Error), and Embedded Sponsorship widget flow.

Job DescriptionFront Office QA Engineer - Python Programmer - Charlotte, NC - Contract - $54-64 Per HR Designs, codes, and maintains software applications to meet user needs in a hybrid work environment. This contract position requires collaboration with developers and stakeholders to develop application features and fix bugs using a variety of programming languages and development frameworks. Key Responsibilities • Design application architecture to meet user requirements., • Code and test software applications for functionality and efficiency., • Fix bugs and optimize application performance., • Collaborate with other developers and stakeholders to enhance application features., • Maintain application documentation and version control., • Must have extensive Fixed Income Capital Markets expertise.Qualifications, • Proficiency in programming languages such as Java, C#, or Python., • Experience with development frameworks., • Strong problem-solving and analytical skills., • Ability to work collaboratively in a team environment., • Excellent communication skills.Core Technologies Java | C# | Python | Development Frameworks Contact Authorization By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here (https://www.mitchellmartin.com/privacy-policy). Benefits Learn more about our benefits offerings here (https://www.mitchellmartin.com/careers/benefits-perks) Onboarding Expectations Learn more about our Onboarding Process here (https://youtu.be/rjV_NFYjyY4) EEO Statement Learn more about our EEO policy here (https://www.mitchellmartin.com/eoe-statement) #LI-AA2

Job Description Experienced Software Engineer Our client is on crypto’s cutting edge technology, and we’re looking for the right engineers to join them. This is a remote position for any US candidate. Our client's Blockchain Distribution Network (BDN) allows DeFi (Decentralized Finance) traders to make better trades by being better connected. The key difference is that in the decentralized world of DeFi, you need to be connected to everyone. Coinbase is one of their investors. Responsibilities As a member of an agile engineering team, you will help design, implement, test and deploy new features in very short cycles to an always-on critical-path infrastructure. Requirements • 4+ years of backend SW development, • Experience using Go (Golang), • Creative, independent, and hardworking Bonus Qualifications • Experience building arb-bots, liquidations-bots, wallets, and similar crypto products, • Experience running ETH nodes, • Experience modifying node codebase, • Experience in automated crypto trading and DeFi Great compensation package. If you think you fit the role please apply to join the blockchain journey.

Job Description Do you enjoy solving technical issues, empathize with customer user experiences and want to keep up with the latest tech? We are looking for a Cloud Infrastructure Engineer that will work with talented software engineering and support teams to deploy, maintain and ensure reliability of our applications in a fast paced environment. Successful candidates will possess: • Passion for cloud computing and building innovative solutions in the cloud, • You have hands-on experience with CI/CD pipelines., • You bring experience with Infrastructure as Code - Terraform, AWS Cloud Formation Templates., • You are experienced with infrastructure automation tools – DataDog, Splunk, Jenkins, Artifactory., • You have experience working with containers (Kubernetes) and serverless applications (Lambda, SQS, DynamoDB, S3)., • You have a solid understanding of networking, virtualization, storage, containers, and serverless, • Understanding of run time environments and common issues with hands on experience using monitoring tools for Application, Service, Infrastructure and Data Quality Monitoring., • You have experience working in an agile environment., • You have a good demeanor towards solving problems skills that span systems, network, and applications., • You bring a strong team focus with good relationship building skills + work with broader distributed team, • You have strong written and verbal communications skills., • Certification in public Cloud (AWS) and Kubernetes is a plus. What You’ll Do: • Developing automation for developer experience tooling, • Building pipelines to enable developers to successfully migrate to Cloud, • Scripting ability in PowerShell or Bash Shell Unix Scripting, • Supporting customers through their infrastructure and code deployments, • Work with a team of Engineers to design, deploy, and optimize connectivity solutions in the cloud and on-prem., • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions., • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community, • Collaborate within the team and with partner teams to drive automation solutions that optimize deployments, improve resiliency, and reduce downtime, • Support a maturing practice through development of infrastructure as code techniques and CI/CD pipeline automation, • Manage, grow and maintain vendor relationships to drive innovation, collaboration, and capability alignment.

Job Description The BMS Control Engineer will play a key role in managing building management system controls primarily within residential projects. Working within a collaborative engineering team, this role involves designing and implementing control strategies, programming software, testing equipment, and supporting system integration to ensure seamless operation. The engineer will also handle troubleshooting, data analysis, documentation, commissioning, and provide maintenance support. Occasional travel may be required to support project needs. Responsibilities • Develop and implement control strategies for residential building management systems, • Program software using proprietary BMS software and standard PLC programming tools, • Test and validate equipment and systems to ensure performance standards, • Troubleshoot and resolve issues related to BMS and HVAC controls, • Integrate third-party platforms and ensure seamless system operation, • Analyze system data to optimize performance and efficiency, • Create and maintain technical documentation and commissioning reports, • Support maintenance activities and provide ongoing system support Preferred Qualifications • 2+ years experience in building management system control, • Experience with Building Management Systems (BMS) and PLC programming, • Knowledge of HVAC control systems and networking protocols such as BACnet and Modbus, • Strong troubleshooting and problem-solving skills, • Skilled in technical documentation and effective communication

Job Description Title: Full Stack Engineer Location: Delaware, Onsite Duration: 3 Months for Contract Must-have skills: Java, Spring Boot. Candidates should have 8 years of relevant experience. Strong critical thinking and problem-solving skills with clear communication abilities are required. Experience with private and public cloud platforms such as AWS, Google Cloud, and Microsoft Azure is preferred. Experience working in Linux/Unix environments is preferred. Experience with Terraform is preferred. Job description: Design and build scalable applications using Java and Spring Boot. Develop responsive frontend interfaces using React. Implement and integrate business workflows using Camunda. Build and maintain RESTful APIs and microservices. Ensure code quality through unit, integration, and end-to-end testing. Create UI test automation using Cypress. Perform performance and load testing using JMeter. Collaborate with cross-functional teams in Agile environments. Optimize application performance, scalability, and reliability.

Job DescriptionJob Title: Java Engineer Location: Whippany, NJ (2 days Onsite) Duration: Contract Job Description: • Hands on with Spring Boot 3, Spring, Java 31, Mongo, REST, Event based application, • experience, Cucumber/Karate/Junit5. Eng - Gitlab, Container based deployment, • (Kubernetes) - Senior LevelKey Responsibilities:, • Design, develop, test, and deploy Java-based applications, • Write clean, scalable, and efficient code following best practices, • Collaborate with cross-functional teams (product, QA, DevOps), • Troubleshoot, debug, and upgrade existing systems, • Participate in code reviews and ensure code quality standards, • Develop RESTful APIs and integrate with third-party services, • Optimize application performance and scalability, • Maintain technical documentationRequired Skills Qualifications:, • Bachelor's degree in Computer Science or related field, • Strong proficiency in Java (8 or above), • Experience with Spring / Spring Boot framework, • Knowledge of REST APIs and microservices architecture, • Familiarity with databases (MySQL, PostgreSQL, or NoSQL), • Understanding of object-oriented design principles (OOP), • Experience with version control (Git), • Basic knowledge of cloud platforms (AWS/Azure/GCP), • Strong problem-solving and analytical skills Preferred Skills:, • Experience with Hibernate/JPA, • Knowledge of Docker Kubernetes, • Familiarity with CI/CD pipelines, • Exposure to Apache Kafka or messaging systems, • Understanding of Agile/Scrum methodologies

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: QA/Test Engineer Type: Contract Compensation: $60–$90/hour Location: Remote Commitment: 35 hours/week Role Responsibilities • Design test cases to confirm each task works as intended, including tricky edge cases., • Review tasks and reference solutions to catch ambiguity and gaps early., • Debug using Python when tasks or checks don't behave as expected., • Shape quality checklists and provide actionable feedback to authors., • Protect benchmark scores by identifying shortcuts and grading gaps in AI agent runs. Qualifications Must-Have • MSc or PhD in a STEM field or equivalent practical experience., • 1+ years in test engineering, quality assurance, or a research/software engineering role., • Skill in designing test cases, quality-review processes, and debugging complex systems., • Proficiency in Python and Git., • Exceptional attention to detail and clear documentation habits. Preferred • Experience in AI training, model evaluation, or quality review of AI-generated work., • A perfectionist mindset with creativity in identifying overlooked issues. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionRole Level: Lead UI Architect / Principal UI Engineer Columbus, OH(Hybrid) Position Summary We are seeking a highly experienced Lead UI Architect to define and drive the front-end architecture strategy for enterprise-grade web applications. This role combines hands-on technical leadership, solution architecture, and team mentorship, ensuring scalable, secure, performant, and maintainable UI solutions across multiple products and platforms. The ideal candidate will have deep expertise in modern front-end technologies, strong architectural design experience, and a proven track record of leading large-scale digital transformation initiatives Key Responsibilities Architecture & Technical Leadership Solution Design Development Leadership Team Leadership & Mentoring • Defining re-usable components model using ReactJS considering modularity, scalability, performance, best practices, integration with service layers (micro-services, CMS), • Capable of analyzing requirements, design and develop software as per defined process, • In-depth knowledge of ES6 and related add-on libraries, excellent front-end coding skills, and a good understanding of progressive/hybrid web applications, • Good knowledge on Troubleshooting interface software and debugging application codes, • Resolve technical issues of projects, • Expert in frameworks / libraries especially ReactJS, • Performing state management using Redux, • JavaScript unit test libraries like Jest/Enzyme, • Well-versed with usage of UI widget library like Material-UI or any equivalent, • Developing UI using HTML5, CSS3 / CSS Pre-processor (SASS), • Responsive development using ReactStrap / Media Queries, • Well-versed with usage of libraries for Grid, Charts like React Tables, High Charts, • Integrating REST API services and handling JSON response using get / post / put, • Knowledge of techniques for developing websites with good performance, • Aware of environments/tools such as Chrome Developer tools, Sublime, Firebug, HTTP watch, • Experience in using Node (as development platform), • Implemented AI automated solutions Other • Must be well organized and self-motivated and be able to work with minimal supervision, • Train and coach members of project groups to ensure effective knowledge management activity, • Source control software such as GIT, Subversion, • Strong visual design sense, familiarity with branding guidelines, • Design, develop and implement web applications, including adherence to coding standards, and building/running appropriate unit tests scripts, • Partner with QA to own the quality of the product, • Agile/Scrum experience or basic knowledge, • Good communication skills Cloud & DevOps • Azure, AWS, or Google Cloud, • Azure DevOps / GitHub Actions, • CI/CD Pipelines, • Docker & Containerized Deployments Integration & Security • REST APIs and GraphQL, • OAuth2, OpenID Connect, SAML, • Web Security Best Practices, • Performance Optimization and Accessibility (WCAG) Architecture • Micro-Frontend Architecture, • Domain-Driven Design, • Event-Driven Architecture, • Component-Based Architecture, • Design Systems and Enterprise UI Platforms Experience Required Qualifications • 12+ years of software engineering experience with 8+ years focused on UI/front-end development., • 3+ years of experience in UI Architecture, Solution Architecture, or Technical Leadership roles., • Proven experience designing enterprise-scale applications in the Banking domain., • Implemented Agentic AI solutions. Flexible work from home options available.

Job Description Pathway Partners LLC is looking for talented Network Engineers at both Junior and Senior levels to join our ranks for future projects. You would play key roles in designing, operating, and maintaining customer LAN, WAN, and WLAN networks. Junior Network Engineer Types of skills and experience we are looking for: • At least 2 years of experience in network engineering, • Cisco CCNA certification (or equivalent), • Basic understanding of LAN, WAN, and WLAN technologies, • Familiarity with network protocols (TCP/IP, DHCP, DNS, etc.), • Basic knowledge of network security principles, • Strong problem-solving skills and attention to detail You may perform tasks like the following: • Assist in designing and implementing network solutions, • Perform basic network troubleshooting and maintenance, • Help with network documentation and inventory management, • Participate in network monitoring and basic issue resolution, • Support senior engineers in larger projects and deployments, • Learn and apply network management tools for anomaly detection Senior Network Engineer Types of skills and experience we are looking for: • 5+ years of experience in network engineering, • Cisco CCIE certification (or equivalent advanced certification), • Extensive experience with LAN, WAN, and WLAN technologies, • In-depth knowledge of routing and switching protocols, • Strong background in network security and best practices, • Experience with cloud networking (AWS, Azure, or GCP), • Excellent project management and team leadership skills You may perform tasks like the following: • Design, develop, test, and deploy complex data communication networks, • Lead network architecture planning and implementation, • Perform advanced troubleshooting and optimize network performance, • Implement and manage network security measures, • Mentor junior engineers and oversee their work, • Evaluate and recommend new networking technologies, • Implement advanced network management systems to detect anomalies, mitigate failures, and prevent unauthorized access Junior and Senior Network Engineers Traits we are looking for across Network Engineer candidates: • Experience in designing, developing, testing, and deploying data communication networks, • Familiarity with network management tools for monitoring, alerting, and anomaly detection, • Strong analytical and problem-solving skills, • Excellent communication skills, both written and verbal, • Ability to work effectively in a team environment, • Willingness to participate in on-call rotations for network support If you have experience building and maintaining robust, secure, and efficient networks, we want to hear from you. Share your resume for potential network engineering projects. Depending on the project, roles may short- or long-term, as well as part-time consultancy or full-time employment. Full-time employees of Pathway receive competitive benefits.

Job Description Summary of Position: We are seeking an experienced Senior Quality Assurance Engineer to lead our testing strategy and quality efforts across complex, high impact projects. The Senior QA must have minimum 5 years' experience as a QA and have spent time collaborating with Dev, Business Analyst, Infrastructure, and Design teams to ensure quality is thoughtfully examined in both processes and technology. The ideal candidate has a strong understanding of business workflows, exceptional analytical skills, and deep hands on experience in both functional and non functional testing. Job Duties: • Lead the overall test strategy, planning, and execution for assigned projects., • Review and analyze business requirements and workflows to ensure complete test coverage., • Develop detailed test plans, test cases, and testing documentation., • Perform functional, regression, API, and performance/load testing., • Identify, document, and track defects through resolution., • Use tools such as Application Lifecycle Management (ALM) for requirements traceability, test management, and defect lifecycle management., • Analyze performance test results to identify throughput issues and system bottlenecks., • Collaborate closely with cross functional teams to ensure product quality and alignment with requirements., • Provide guidance and mentorship to junior QA team members. Qualifications and Requirements: " Extensive experience in QA with a focus on leading test strategy and execution. " Strong understanding of business processes and the ability to translate them into test scenarios. " Hands on experience with API testing tools. " Proficiency with ALM/test management systems. " Experience conducting and analyzing results from performance and load testing. " Experience with automated testing frameworks and scripting languages such as Selenium. " Strong SQL skills, including writing queries for data validation and troubleshooting. " Experience with Accessibility testing compliant with ADA " Strong communication, documentation, and collaboration skills. " Ability to work independently and drive quality initiatives across teams. Preferred Qualifications " Familiarity with continuous integration/continuous deployment (CI/CD) pipelines. " Knowledge of cloud environments and testing in cloud based architectures. " Prior experience mentoring or leading QA teams. " Strong problem solving skills with the ability to troubleshoot complex technical issues. " Experience working in enterprise environments with complex integrations.

Job Description API Test Engineer Job Description (JD) Job Title API Test Engineer Job Summary We are looking for a skilled API Test Engineer to design, develop, and execute API testing strategies to ensure the quality, reliability, performance, and security of RESTful and SOAP web services. The ideal candidate should have experience with API automation, manual API testing, database validation, CI/CD integration, and testing tools such as Postman and REST Assured. Key Responsibilities Design and execute API test cases for REST and SOAP services. Develop and maintain API automation frameworks. Validate API functionality, performance, reliability, and security. Perform request and response validation using JSON and XML. Test CRUD operations (GET, POST, PUT, PATCH, DELETE). Verify authentication and authorization mechanisms (OAuth 2.0, JWT, API Keys). Perform database validation to ensure data integrity. Identify, log, and track defects using defect management tools. Integrate API automation into CI/CD pipelines. Collaborate with developers, QA engineers, and DevOps teams. Create API test plans, reports, and documentation. Participate in Agile/Scrum ceremonies. Required Skills API Testing REST API Testing SOAP API Testing GraphQL API Testing Web Services Testing JSON & XML Validation HTTP/HTTPS Protocol CRUD Operations API Versioning API Automation Tools REST Assured (Java) Postman Newman Karate Framework SoapUI Insomnia Programming Languages Java (Preferred) Python JavaScript C# Knowledge of: Object-Oriented Programming (OOP) Exception Handling Collections File Handling JSON Parsing API Authentication OAuth 2.0 JWT (JSON Web Token) API Key Authentication Basic Authentication Bearer Token Authentication API Concepts HTTP Methods GET POST PUT PATCH DELETE HTTP Status Codes Request Headers Query Parameters Path Parameters Request Body Response Validation Cookies Sessions Database Testing Experience in validating backend data using: SQL MySQL PostgreSQL Oracle SQL Server Knowledge of: Joins Stored Procedures Views CRUD Operations Data Validation CI/CD & DevOps Experience with: Jenkins Git GitHub GitLab Azure DevOps Maven Gradle Docker Responsibilities: Execute API automation in CI/CD pipelines. Generate execution reports. Schedule automated regression runs. Performance Testing (Preferred) JMeter LoadRunner API Load Testing Stress Testing Spike Testing Security Testing (Preferred) OWASP API Security SQL Injection Testing Authentication Testing Authorization Testing Rate Limiting Validation API Vulnerability Testing Reporting & Defect Management Experience with: JIRA Azure DevOps Bugzilla ALM/Quality Center Reporting Tools: Allure Reports Extent Reports Newman Reports Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 2 6 years of experience in API testing and automation. Hands-on experience with REST Assured or Postman automation. Good understanding of SDLC, STLC, and Agile methodologies. Experience working with microservices architecture. Nice to Have Skills Selenium WebDriver Playwright Cypress Kafka Testing RabbitMQ Testing Docker & Kubernetes Cloud platforms (AWS, Azure, GCP) Contract Testing (Pact) Mock Servers (WireMock) Sample Project Responsibilities Develop REST Assured automation for microservices APIs. Validate request and response payloads against API contracts. Perform end-to-end API testing integrated with UI automation. Execute regression API suites in Jenkins. Validate backend database updates after API execution. Perform API performance testing using JMeter. Secure APIs by validating authentication and authorization mechanisms. Sample API Automation Framework Framework Components REST Assured API automation Java Programming language TestNG/JUnit Test execution Maven Dependency management Jackson/Gson JSON serialization/deserialization Log4j Logging Extent Reports/Allure Reporting Jenkins CI/CD Git Version control Execution Flow Jenkins triggers the build. Maven downloads dependencies. TestNG executes API test cases. REST Assured sends HTTP requests. Responses are validated against expected results. Database validation is performed (if required). Reports are generated and published. Results are shared with the QA team. Interview Questions API Basics What is an API? What is the difference between REST and SOAP? Explain HTTP methods (GET, POST, PUT, PATCH, DELETE). What are HTTP status codes? What is idempotency in REST APIs? REST Assured How do you automate APIs using REST Assured? How do you validate JSON responses? How do you extract values from API responses? How do you perform parameterization in REST Assured? Authentication Explain OAuth 2.0. What is JWT? How do you pass authentication tokens in API requests? Database Validation How do you validate database changes after an API call? Explain SQL joins used during API testing. CI/CD How do you integrate API tests into Jenkins? How do you execute Postman collections using Newman? Scenario-Based How do you test an API when documentation is unavailable? How would you validate an API returning intermittent 500 errors? How do you test pagination and filtering APIs? How do you handle dynamic values such as tokens or session IDs? Key Skills for Resume REST API Testing REST Assured Postman Newman SoapUI Karate Framework Java JSON XML OAuth 2.0 JWT SQL MySQL Oracle PostgreSQL Jenkins Maven Git Docker JIRA TestNG JMeter API Automation Microservices Testing CI/CD Agile Testing

Job Description Job Description: Senior QA Engineer Job Title: Senior QA Engineer Experience: 5–8 Years Employment Type: Full-time Department: Quality Assurance / Engineering Job Summary We are looking for an experienced Senior QA Engineer to lead quality assurance activities, develop effective testing strategies, and ensure the delivery of reliable, high-quality software products. The ideal candidate should have strong expertise in manual testing, test automation, API testing, performance testing, and defect management, with the ability to collaborate with cross-functional teams and drive continuous improvements in software quality. Roles and Responsibilities Analyze business requirements, user stories, and acceptance criteria to identify testing scope and risks. Develop comprehensive test strategies, test plans, test scenarios, and test cases. Perform functional, regression, integration, smoke, exploratory, and end-to-end testing. Design, develop, and maintain automation frameworks using Selenium WebDriver with Java and Playwright. Create reusable automation scripts using TestNG, JUnit, and Page Object Model (POM). Perform API testing using Postman and REST Assured. Execute database testing and data validation using SQL queries. Conduct performance and load testing using Apache JMeter. Integrate automated test suites into CI/CD pipelines using Jenkins or GitHub Actions. Identify, document, prioritize, and track defects using Jira or similar tools. Perform root cause analysis and collaborate with developers to resolve complex defects. Review test cases, automation scripts, and test results to ensure quality standards. Mentor junior QA engineers and provide technical guidance on testing practices. Coordinate with developers, product managers, business analysts, and other stakeholders. Define and monitor quality metrics, automation coverage, defect leakage, and test execution status. Support release validation, production issue investigation, and user acceptance testing. Identify opportunities to improve test coverage, reduce flaky tests, and optimize execution time. Participate in Agile ceremonies, sprint planning, release planning, and retrospectives. Required Technical Skills Manual Testing: Functional, Regression, Smoke, Integration, Exploratory Testing Automation Testing: Selenium WebDriver, Playwright Programming Languages: Java, JavaScript, or Python Testing Frameworks: TestNG, JUnit, Page Object Model API Testing: Postman, REST Assured Performance Testing: Apache JMeter Database Testing: SQL, joins, data validation CI/CD Tools: Jenkins, GitHub Actions Version Control: Git, GitHub, Bitbucket Defect Management: Jira, Azure DevOps Build Tools: Maven, Gradle Methodologies: Agile, Scrum, SDLC, STLC Preferred Skills Experience building and maintaining automation frameworks from scratch. Strong understanding of object-oriented programming and design patterns. Experience with cross-browser testing and parallel test execution. Knowledge of cloud platforms, Docker, and containerized test environments. Experience testing REST APIs, microservices, and third-party integrations. Understanding of application monitoring, log analysis, and root cause analysis. Familiarity with security testing and accessibility testing. Experience using AI-powered coding assistants such as Cursor or Claude. Knowledge of test metrics, risk-based testing, and quality engineering practices. Educational Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Relevant experience in software testing and quality engineering. Testing or automation certifications are an advantage. Key Competencies Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and stakeholder management. Ability to lead testing activities and manage priorities independently. Attention to detail and a customer-focused quality mindset. Ability to mentor team members and drive continuous improvement. Key skills for a Naukri job posting: Senior QA Engineer, Manual Testing, Selenium WebDriver, Java, Playwright, TestNG, API Testing, REST Assured, JMeter, SQL, Jenkins, CI/CD, Git, Jira, Automation Framework Development, Regression Testing, Root Cause Analysis, Agile, and Test Strategy.

Job Description Sensor Verification & Characterization Engineer (LiDAR) About us: Voyant Photonics builds silicon photonic chips that steer and switch light at high speed. They power next generation, chip-scale FMCW LiDAR for robotics and autonomy, and optical circuit switches (OCS) for AI data centers. Based in NYC, we’re a hands-on team designing, building, and deploying frontier hardware to solve problems that matter, from how machines see to how AI scales. About the role We're looking for a Sensor Verification & Characterization Engineer to join our Systems Team, reporting to the System Integration Lead. This role spans the full arc of sensor development: running early derisk experiments that shape specifications and validate our models; building verification benches for new subsystems; and characterizing full systems as they mature toward production. You'll work across multiple active programs, pushing our platform further down the product lifecycle while standing up verification for brand-new subsystems. What You'll Do: Design and execute verification and characterization tests for full sensor systems and subsystems, ensuring designs meet performance requirements and building a clear picture of system behavior across operating conditions. Plan and run rapid derisk experiments for new technologies and subsystems to inform specifications and architecture decisions, often before formal requirements exist. Correlate measurements against simulation and analytical models, feeding results back to design and modeling teams to improve predictive accuracy. Troubleshoot and debug system-level and subsystem-level issues, applying strong systems-engineering and first-principles physics reasoning to isolate root cause. Generate clear test reports and well-formed hypotheses to share findings and drive decisions with the broader engineering team, including recommendations on specification limits and design tradeoffs. Build, maintain, and automate test benches and lab equipment to support repeatable, efficient verification. Adapt quickly to changing requirements, shifting priorities, and new problems as our programs evolve. Bring creativity to solving design challenges under real-world constraints. Collaborate closely with hardware, photonics, optics, firmware, and controls engineers throughout the system lifecycle, from bring-up through production support. What We're Looking For BS in Electrical Engineering, Physics, or a related field (MS or PhD a plus). 4+ years of hands-on experience in system or sensor test, verification, characterization, or early-stage technology derisking - though we're open to exceptional candidates at other experience levels who show strong potential and the right attitude. Hands-on experience with lab equipment (oscilloscopes, power supplies, function generators, spectrum analyzers, logic analyzers) and demonstrated experience automating test equipment. Proficiency in Python for test automation and data analysis. Experience designing experiments under uncertainty: choosing what to measure, estimating measurement uncertainty, and drawing defensible conclusions from limited data. Strong systems-level thinking and the ability to apply physics and engineering fundamentals to debug complex, ambiguous problems. Excellent written and verbal communication skills — able to turn raw data and observations into clear reports and actionable hypotheses. A self-starter who can thrive with minimal formal process, and is comfortable defining and communicating structure where it doesn't yet exist. Comfortable moving between quick-turn exploratory experiments and disciplined, repeatable verification. Enthusiasm for tackling new and unexpected problems, and the flexibility to pivot as priorities shift. Must be able to work on-site. Nice to Have Experience with FMCW LiDAR, radar, or other optical/photonic sensing systems. Experience working alongside modeling or simulation teams to validate and refine physical models. Experience automating motorized stages, gimbals, or other opto-mechanical test setups. Familiarity with C/C++ for embedded or test applications. Life at Voyant We build frontier hardware & software from our lab and office in Midtown Manhattan, where optical tables, lab benches and electronics sit alongside traditional office space. Our work is hands-on and primarily in person, but we don’t run on a rigid 9-to-5. We partner with customers across time zones, so some calls start early or run late, and we adjust schedules around them. We run a high-trust, high-accountability environment: you’ll own meaningful work, move quickly and often wear more than one hat. Voyant provides catered lunch every day at HQ, and we’re a diverse group of food lovers from around the world who enjoy sharing food, culture and technical ideas around the lunch table. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $120K - $160K

Job DescriptionJob Title: Full Stack Tech Lead - (Java Angular/React AWS) Work Location: Jersey City, NJ 07310 - Hybrid Vendor Rate: $50-55/hr Contract duration: 12 Months Interview Process (Is face to face required?): No Must Have Skills: Backend: Java, Spring Boot, Hibernate, JPA, Microservices Front End: Angular/React, Typescript, JavaScript Messaging: Kafka, ActiveMQ, RabbitMQ Database: MySQL, PostgreSQL, Oracle, MongoDB, Cassandra, Redis API: REST APIs Cloud: AWS Cloud Services: Lambda, EC2, S3, RDS, ECS, EKS, SNS, SQS, API Gateway, CloudWatch Deployment: CI/CD, Jenkins, GitHub Containerization: Docker, Kubernetes, OpenShift Methodology: Agile Scrum, DevOps, TDD, BDD Detailed Job Description Full Stack Engineer Tech Lead with 14-15 years of experience building scalable, secure, and resilient enterprise applications using Java JDK 17, Spring Boot, and microservices architecture in banking and financial services domains. Proficient in software development using JAVA J2EE including JSP, Servlets, JDBC, Angular, ReactJS, Hibernate, Spring IOC, MVC, Spring REST, Spring Boot, Spring Security, Spring Data JPA, JavaScript, and design patterns with JBOSS Tomcat on the Linux Windows platform Minimum years of experience: 10 years Certifications Needed :No Top 3 responsibilities you would expect the Subcon to shoulder and execute Experienced in MVC frameworks, RESTful microservices with AWS services, Apache ActiveMQ, Kafka, NoSQL HBase and working in Agile methodology. Utilized GitHub Copilot to accelerate backend development, automate boilerplate code generation, and improve development efficiency. Improved productivity by leveraging AI tools for unit test generation and documentation support.

Job Description Job Description: Test Automation Engineer Job Title: Test Automation Engineer Experience: 3–6 Years Employment Type: Full-time Department: Quality Assurance / Software Engineering Job Summary We are looking for a skilled Test Automation Engineer to design, develop, and maintain automated testing solutions to ensure the quality, reliability, and performance of software applications. The ideal candidate should have hands-on experience with Selenium WebDriver, Java, Playwright, automation frameworks, API testing, and CI/CD tools. The candidate will collaborate with development and QA teams to improve test coverage, reduce manual testing efforts, and accelerate software delivery. Roles and Responsibilities Design, develop, and maintain automated test scripts using Selenium WebDriver with Java and Playwright. Build and enhance reusable automation frameworks using TestNG, JUnit, and Page Object Model (POM). Analyze business requirements and create automation test scenarios and test cases. Automate functional, regression, smoke, integration, and end-to-end test cases. Perform cross-browser and responsive web application testing. Automate REST API validation using REST Assured and Postman. Integrate automation suites into CI/CD pipelines using Jenkins or GitHub Actions. Execute automated test suites, analyze failures, and perform root cause analysis. Identify, document, and track defects using Jira or similar tools. Implement data-driven testing, reusable utilities, and test data management. Handle dynamic web elements, alerts, frames, multiple windows, and asynchronous application behavior. Optimize test scripts to improve execution speed, reliability, and maintainability. Implement parallel execution and configure automated test reporting. Perform database validation using SQL queries. Collaborate with developers, business analysts, and product owners in Agile teams. Participate in code reviews, sprint planning, test planning, and release validation. Maintain automation documentation and provide regular test execution reports. Required Technical Skills Automation Tools: Selenium WebDriver, Playwright Programming Languages: Java, JavaScript, or Python Test Frameworks: TestNG, JUnit, Page Object Model API Testing: REST Assured, Postman Build Tools: Maven, Gradle CI/CD Tools: Jenkins, GitHub Actions Version Control: Git, GitHub, Bitbucket Database Testing: SQL queries, joins, data validation Defect Management: Jira, Azure DevOps Testing Types: Functional, Regression, Smoke, Integration, End-to-End Methodologies: Agile, Scrum, SDLC, STLC Preferred Skills Experience developing automation frameworks from scratch. Strong understanding of OOP concepts, collections, exception handling, and Java programming. Knowledge of synchronization, explicit waits, dynamic locators, and handling flaky tests. Experience with API automation and microservices testing. Familiarity with Docker and cloud-based test execution. Knowledge of performance testing using Apache JMeter. Experience integrating test automation with CI/CD quality gates. Familiarity with AI-powered coding assistants such as Cursor or Claude. Understanding of test reporting, code reviews, and automation best practices. Educational Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Relevant experience in software testing and automation engineering. Key Competencies Strong analytical and problem-solving skills. Ability to write clean, reusable, and maintainable automation code. Good debugging and troubleshooting capabilities. Strong communication and collaboration skills. Attention to detail and commitment to continuous quality improvement. Key Skills for Naukri Test Automation Engineer, Selenium WebDriver, Java, Playwright, TestNG, JUnit, Automation Framework Development, API Automation, REST Assured, Postman, Maven, Jenkins, Git, CI/CD, SQL, Regression Testing, Cross-Browser Testing, Page Object Model, Agile, and Jira.

Job Description Mid to Senior Quality Assurance Automation Engineer/ New York City | Contract-to-Hire 2Bridge has been engaged in the search for a Quality Assurance Automation Engineer for an established New York City not-for-profit organization. This role offers the chance to define testing strategy, establish scalable automation practices, and improve quality across a portfolio of internal business applications. This is a Contract-to-hire position, with an expected roughly 6-month conversion. Work arrangement: Hybrid, 3 days onsite in NYC and 2 days remote each week. Contract pay: Starting around $60 per hour. Anticipated full-time conversion salary: starting around $120,000 annually, depending on experience. The Opportunity You will work closely with software developers, product partners, IT teams, and business stakeholders to create and execute test plans across applications, devices, platforms, and browsers. This role combines hands-on test execution with ownership of automation strategy, quality benchmarks, release readiness, and measurable process improvements. What You Will Do • Design a master test plan and establish an appropriate test automation framework., • Create, review, and improve test cases, scripts, regression testing, and release sign-off processes., • Collaborate with development, product, IT, and business teams to clarify requirements and coordinate testing., • Track defects through resolution, assess release risks, and communicate testing results clearly., • Monitor test coverage, defect escape rates, pass rates, and other QA performance indicators., • Establish quality benchmarks, documentation standards, and repeatable testing practices. What You Bring • Approximately 5+ years of QA web and software testing., • Hands-on experience with automated testing tools; Playwright experience is particularly desirable, with Selenium also relevant., • Ability to design test plans and contribute to automation framework development, not solely execute manual test scripts., • Strong SQL and database-querying skills; familiarity with enterprise applications and data validation., • Experience with GitHub or similar version control, Jira or comparable issue tracking, and Confluence or equivalent documentation tools., • Clear written and verbal communication, strong analytical skills, and the ability to work across multiple initiatives., • Bachelor’s degree in computer science, information technology, or equivalent relevant experience. Additional Experience • CI/testing tools such as Jenkins or Katalon; Salesforce, ServiceNow, IBM i (iSeries), or enterprise application environments; process modeling using BPMN 2.0, Lucidchart, or Visio. The organization offers a generous benefits package for permanent employees upon conversion: • 100% employer-paid medical coverage, with no employee medical premium contributions., • Three weeks of vacation and three weeks of sick leave, with unused leave rolling over, subject to plan rules., • 24 paid holidays annually, aligned with the organization’s holiday calendar., • Approximately 10 summer Fridays off each year., • Pension plan requiring no employee contribution., • Stable work environment with strong attention to retaining employees., • Choice of a few different schedules.

Job DescriptionThe Role As a Forward Deployed Engineer, you'll deploy Medeloop's systems and products into the customer's cloud where their data sits, connect them to the tools their teams already use, and build bespoke clinical and research workflows on top, with our platform as the spine. You'll work side by side with researchers, analysts, data engineers, and security teams, and you'll own each deployment from the first scoping call to production. You're the person who turns a first deployment into a lasting customer. Key Responsibilities: • Deploy Medeloop's systems and products in each customer's cloud with infrastructure as code and our deployment pipeline., • Build the connectors and tools the agent calls, from lakehouse tables and internal APIs to EHR data over FHIR., • Turn a team's procedures, definitions, and business logic into agent workflows and playbooks on Medeloop's products, so the agent works the way that team works., • Define evaluations and launch criteria with the customer, test against answers their experts trust, and ship only when the workflow meets them., • Scope each workflow with the customer, estimate the effort, build, test, take it live, and measure it against the success criteria you agreed on., • Bring a security-first mindset to everything you build. You'll work with sensitive patient data in a highly regulated environment under HIPAA, and you'll walk customer security teams through private connectivity, access controls, and PHI handling, explaining precisely what stays in their environment and what returns., • Turn custom builds into reusable connectors, playbooks, and platform features, and bring what you learn in the field back to product and engineering. Hold the line on one-off requests that won't make the product better., • Monitor the workflows you ship, fix what breaks when customer systems change, and improve them as usage grows., • Join discovery and scoping conversations with our leadership, and help size the work before it's priced. Who You Are: • Experience building scalable agentic systems that carry out long-horizon, multi-step tasks, and designing the evaluation frameworks that show they work reliably., • Experience building with LLM APIs, including tool calling, MCP or similar protocols, prompt and workflow design, and evaluations., • Deep, day-to-day fluency with coding agents such as Claude Code, Codex, and Cursor, and a track record of using them to ship high-quality code fast., • Hands-on experience with major cloud providers and their infrastructure., • Experience with data lakehouses and warehouses., • An extremely clear communicator, in writing and in person, with technical and non-technical audiences alike., • Confidence in a room with a researcher, a data engineer, and a CISO, and the ability to turn ambiguous requests into scoped, shippable work., • Comfort with autonomy and ambiguity, the judgment to move fast without cutting corners on security, and a willingness to travel to customer sites., • Fearlessness about learning, with the eagerness to dive into bespoke workflows and niche concepts you've never seen before and to take on ambitious projects outside your past experience., • Nice to have: Experience with EHR, claims, OMOP, or FHIR data, and work under HIPAA or in another highly regulated deployment environment; forward-deployed, solutions, or implementation engineering, ideally at a startup; and containers and sandboxing. A clinical or healthcare background is not required.Why Medeloop, • Ownership from day one: small team, high-trust, no layers between your work and its impact, • Technically ambitious: you'll build AI-powered workflows, not just support them, • Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter, • Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Job DescriptionFST Technical Services Commissioning (Cx) division is one of the leading Cx firms in the country. We partner with clients for quality assurance in the design, construction, and post-acceptance phases of building projects. We ensure that equipment in mechanical, electrical, plumbing, and associated systems are designed, installed, and functionally tested to meet the clients requirements and design intent. For this position of Commissioning Field Engineer II on offer includes an excellent salary and benefits package. About the Job: A Field Engineer II reports directly to his or her Team Leader and to the team’s Project Engineers, and is directly responsible for the execution of field and office assignments as directed. Essential Functions Field Engineer must have general knowledge of the following topics: Refrigeration, HVAC, Steam management and distribution systems, pumps, fans, motors, chillers, boilers, air ventilation balancing systems, BMS systems and VAV. Field Engineer holds the following responsibilities: • Site Inspections and reports., • Equipment Testing., • Submittal Review and preparation of comments, • Document and Specification reviews and updates, • Create and execute commissioning checklists for the respective equipment and systems as directed by the team leader, • Collection and tabulation of field data using FST testing equipment, • Preparation and writing of reports., • Proper use of FST test equipment including maintenance, cleaning and reporting damages to their respective Team Leader, • Assist in executing performance test requirements., • Individual Time and Expense management., • Any special projects as requiredRequirements:, • Bachelor’s Degree in Mechanical/ Electrical Engineering, minimum 1-3 years of experience., • Must be a self-starter and capable of working independently or in a team environment., • Must possess a strong desire to learn and participate in the company developmental training program, • Trade Professional affiliation, a plus., • Proficiency with Microsoft products (Word, Excel, Power Point, etc.)Technical writing skills a plus, • Strong ability to work in changing environment and adapt to varying working environments., • Must be able to lift at least 30 pounds and climbing ladders Pay range $75,000-$90,000 based on experience. FST Technical does not offer employment-based visa sponsorship for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future. Powered by JazzHR MetI6mc3dh

Job Description We are seeking a skilled Full-Stack Software Engineer to design, develop, and maintain a modern enterprise software platform that supports complex business workflows, data processing, and reporting. You will work across the full technology stack from a React frontend and Node.js/NestJS APIs to high-performance backend services written in Rust and data infrastructure built with Python. Key Responsibilities • Design, develop, and maintain full-stack applications using TypeScript (React, Node.js/NestJS), Python, and Rust, • Build and enhance features across the frontend, backend APIs, data services, and core application components, • Develop and maintain data and analytics infrastructure using Python with Snowflake and PostgreSQL, • Collaborate on software architecture, database design, and system integration, • Integrate applications with internal and external systems to automate data workflows, • Drive continuous improvement in development processes, testing, and engineering tooling, • Review, test, and integrate AI-assisted code generation into the software development lifecycle Qualifications • Bachelor's Degree preferred, • Experience with TypeScript and Node.js is required, • Professional experience with Python is required; Rust experience is a strong plus, • Experience building modern web applications using React and API frameworks such as NestJS or similar, • Experience designing and developing scalable enterprise software and APIs, • Strong understanding of software architecture, engineering best practices, and maintainable system design, • Familiarity with cloud platforms such as Azure or AWS, • Experience with domain-driven design and event-driven architectures is a plus

Job Description The Quality Control Manager (QCM) is responsible for planning, coordination, implementation, and oversight of the project quality control plan to ensure that Kokolakis projects meet or exceed all stated requirements with respect to materials and workmanship. The QCM will report to the Project Executive and will work with the project team to help achieve project objectives. The QCM will also work with subcontractors, clients, architects, engineers, consultants, and outside agencies. This position is in Brooklyn, New York City. Responsibilities include, but are not limited to: • Develop Quality Control Plan for submission, • Review and approve submittals and work plans, • Interpret Contract Drawings, Specifications, Shop Drawings and Material Submittals for contract compliance, • Review RFIs and change orders; ensure installed work conforms with supplemental instructions or direction provided by authorized Owners Reps and/or the A/E., • Schedule and conduct Preparatory Meetings; complete and distribute meeting minutes, • Implement the Three Phase Quality Control procedures, • Document inspections and issue reports, • Develop and maintain quality control logs, • Inspect material deliveries for compliance with approved submittals and industry standards, • Inspect for damaged or defective materials and workmanship, • Reject defective work or materials and require removal or correction to be made compliant, • Issue non-compliance notice for deficient materials or workmanship, • Update and manage non-compliance log, • Prepare and submit daily reports including all required quality control reports, inspection reports, and testing documentation, • Schedule and coordinate all 3rd party testing and inspection requirements, • Responsible for documenting and maintaining records relating to testing data, • Responsible for selecting products for tests at specified stages in production process and test products for variety of qualities, such as performance, strength, and chemical characteristics as required, • Responsible for testing and monitoring of products to ensure factors such as adhesion, hardness and strength are compliant with contract requirements, • Draft punch lists, review punch list work, sign off on corrected items, and update punch lists, • Minimum OSHA 10-hour certification, • Conduct business in a professional and ethical manner and integrate well into the project team. Knowledge and Experience Requirements • Must possess a bachelor’s degree in engineering, architecture, or construction management, with a minimum of 10 years’ construction experience on construction similar to this project. 4 years of which as a Quality Control Representative., • Must possess a current professional engineer registration in a US State or Territory or a current licensed architect in a US State or Territory., • Professional Engineer licensed in the state of New York is preferred., • Knowledge of Procore software is a plus, • Additionally, the Quality Control Manager is required to complete the US Army Corps of Engineers Construction Quality Management (CQM) for Contractor’s course. If the Quality Control Manager does not have a current certification, obtain the CQM for Contractors course certification within 30 days of award. Why Join Kokolakis? • Employee-owned company (ESOP) where employees directly benefit from long-term success, • 100% employer-paid medical, dental, and vision coverage for employees, • Competitive salary and 401(k) with company match, • Generous paid time off, including 3 weeks PTO, holidays, volunteer time off, and Summer Fridays, • Paid parental leave to support growing families, • Investment in your growth with paid CPE, licenses, and tuition reimbursement, • Additional perks including cell phone allowance, mileage reimbursement, and wellness program reimbursement, • Collaborative, team-oriented culture with company events and opportunities to stay connected Kokolakis Contracting is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status, such as race, religion, color, national origin, sex, sexual orientation, gender identity, or age. Attention All Third-Party Agencies, Headhunters, and Recruiters Kokolakis Contracting will not accept candidate submission by unsolicited third parties through this site or any company email address. All unsolicited candidates presented to Kokolakis Contracting will be considered the property of Kokolakis Contracting. Kokolakis Contracting will not be responsible for any fees associated with unsolicited candidates, nor will a contractual relationship be formed by submission. Kokolakis Contracting will not be obligated and will not under any circumstances pay any fees to said third parties submitting candidates in this manner. Kokolakis Contracting only forms contracts with recruiters with whom we have an established business relationship and with whom we have in place a signed agreement. All contact with Kokolakis Contracting from third parties must be through our Human Resources Recruiting department. Outside recruiters are asked not to contact our hiring managers directly. Any contact made outside of the Kokolakis Contracting Human Resources Recruiting Department by a third party will cancel any future business relationships between the third party and Kokolakis Contracting.

Job Description Job Title: Robotics Engineer Job Summary We are seeking a Robotics Engineer to design, develop, and deploy intelligent robotic systems that combine mechanical design, embedded systems, artificial intelligence, computer vision, and autonomous navigation. The ideal candidate will develop software and algorithms for robot perception, motion planning, localization, control, and human-robot interaction while collaborating with cross-functional engineering teams to deliver reliable, scalable, and production-ready robotic solutions. Key Responsibilities Design, develop, test, and deploy robotic systems for industrial, commercial, healthcare, logistics, and research applications. Develop robot software for perception, localization, mapping, navigation, motion planning, and control. Implement AI, machine learning, and computer vision algorithms to improve robot autonomy and decision-making. Develop sensor fusion solutions using cameras, LiDAR, radar, IMUs, GPS, ultrasonic sensors, and encoders. Design and optimize robot kinematics, dynamics, path planning, and obstacle avoidance algorithms. Build applications using ROS/ROS2 and integrate robotic hardware with software components. Develop and validate robotic solutions in simulation environments before deployment. Integrate robotic systems with cloud platforms, IoT devices, and enterprise applications where required. Optimize robotic applications for real-time performance, reliability, and safety. Perform system testing, debugging, calibration, and field validation. Prepare technical documentation, operating procedures, and maintenance guidelines. Stay current with advancements in robotics, AI, autonomous systems, and edge computing technologies. Required Qualifications Bachelor's or Master's degree in Robotics Engineering, Computer Science, Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field. 3 years of experience in robotics software development or robotic system engineering. Strong programming skills in Python and C . Experience with ROS or ROS2. Solid understanding of robotics fundamentals, including kinematics, dynamics, control systems, and motion planning. Experience with Linux development environments and Git version control. Knowledge of embedded systems and real-time software development. Familiarity with Docker and containerized application deployment. Experience integrating robotic hardware, sensors, and actuators. Preferred Qualifications Experience with Autonomous Mobile Robots (AMRs), Automated Guided Vehicles (AGVs), robotic arms, collaborative robots (cobots), or humanoid robots. Experience with computer vision using OpenCV, PyTorch, TensorFlow, or YOLO. Knowledge of Simultaneous Localization and Mapping (SLAM), sensor fusion, and autonomous navigation. Experience using simulation platforms such as Gazebo, Webots, NVIDIA Isaac Sim, or Unity. Experience with NVIDIA Jetson, edge AI devices, or embedded GPU platforms. Familiarity with reinforcement learning for robotic control. Experience with cloud robotics, fleet management, or remote robot monitoring. Understanding of robotic safety standards and functional safety principles. Technical Skills Python C ROS / ROS2 Linux Git Docker OpenCV PyTorch TensorFlow YOLO SLAM Gazebo Webots NVIDIA Isaac Sim NVIDIA Jetson CUDA MQTT REST APIs SQL Kubernetes (preferred) AWS / Azure / Google Cloud Platform (preferred) Soft Skills Strong analytical and problem-solving abilities Excellent communication and collaboration skills Attention to detail and engineering discipline Ability to work in multidisciplinary teams Innovation and continuous learning mindset Strong debugging and troubleshooting capabilities Nice to Have Experience with robotic manipulators, robotic vision, and grasp planning Knowledge of reinforcement learning and imitation learning for robotics Experience with industrial communication protocols such as CAN, EtherCAT, Modbus, or OPC UA Familiarity with digital twins and robotic simulation environments Experience with edge AI optimization, model quantization, and real-time inference Robotics, ROS, cloud, or AI-related certifications Key Performance Indicators (KPIs) Robot autonomy and navigation accuracy System reliability and operational uptime Motion planning and task execution success rate Perception and object detection accuracy Deployment success and production stability Reduction in system failures and maintenance issues Performance improvements in latency, throughput, and resource utilization Timely delivery of robotics projects and feature enhancements Location Hybrid / Remote / On-site (as applicable) Employment Type Full-time

Job Description Silicon Photonics Systems Test Engineer – Optical Circuit Switches (OCS) About us: Voyant Photonics builds silicon photonic chips that steer and switch light at high speed. They power next generation, chip-scale FMCW LiDAR for robotics and autonomy, and optical circuit switches (OCS) for AI data centers. Based in NYC, we’re a hands-on team designing, building, and deploying frontier hardware to solve problems that matter, from how machines see to how AI scales. About the role We're looking for a Silicon Photonics Systems Test Engineer to join our Systems Team, reporting to the System Integration Lead. You'll be one of the first hands-on engineers on the OCS program, taking it from early technical derisk through proof of concept. Our architecture and models are well developed; your job is to put them to the test. You'll stand up the first OCS test benches, characterize early chips and prototypes, find where hardware and models disagree, and turn those findings into decisions. What You'll Do: Plan and run rapid derisk experiments on early SiPh test chips and subsystems to validate key architectural assumptions. Characterize optical performance across switch paths, including insertion loss, crosstalk, extinction ratio, polarization and wavelength dependence, and switching time. Correlate measurements against device, circuit, and system models, and feed discrepancies back to design and modeling with clear physical explanations. Identify and measure the indicators that predict how performance will scale with port count, such as per-element variation, neighbor crosstalk, and calibration effort per port. Design, build, and automate OCS test benches from the ground up, with test approaches that can scale as port counts grow. Generate clear test reports and well-formed hypotheses that drive design decisions and inform specification limits. Collaborate closely with photonics design, modeling, controls, electronics, and firmware engineers, and with peers on our LiDAR program. Move fluidly between quick-turn exploratory experiments and disciplined, repeatable characterization. What We're Looking For BS in Electrical Engineering, Physics, Optics, or a related field (MS or PhD a plus). 4+ years of hands-on experience in photonic or optical test, characterization, or early-stage technology derisking, though we're open to exceptional candidates at other experience levels who show strong potential and the right attitude. Hands-on experience with optical lab equipment (tunable lasers, optical power meters, optical spectrum analyzers, polarization controllers) and fiber handling and coupling, plus standard electrical equipment. Demonstrated experience automating test equipment and analyzing large datasets. Proficiency in Python for test automation and data analysis. Comfort working closely with models: understanding the assumptions behind a loss budget or circuit simulation, designing experiments to test them, and explaining discrepancies in physical terms. Strong systems-level thinking and the ability to apply physics and engineering fundamentals to debug complex, ambiguous problems. Excellent written and verbal communication skills, able to turn raw data into clear reports and actionable hypotheses. A self-starter who thrives with minimal formal process, and is comfortable defining structure where it doesn't yet exist. Must be able to work on-site. Nice to Have Experience testing silicon photonic integrated circuits, optical switches, or datacom/telecom optical modules. Familiarity with photonic simulation tools (e.g., Lumerical or similar). Experience with wafer- or die-level probing and high-channel-count test setups. Experience automating motorized stages or fiber alignment systems. Life at Voyant We build frontier hardware & software from our lab and office in Midtown Manhattan, where optical tables, lab benches and electronics sit alongside traditional office space. Our work is hands-on and primarily in person, but we don’t run on a rigid 9-to-5. We partner with customers across time zones, so some calls start early or run late, and we adjust schedules around them. We run a high-trust, high-accountability environment: you’ll own meaningful work, move quickly and often wear more than one hat. Voyant provides catered lunch every day at HQ, and we’re a diverse group of food lovers from around the world who enjoy sharing food, culture and technical ideas around the lunch table. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $120K - $160K

Job Description Palona is building a category-defining AI platform for restaurants. This role builds the technical growth system that helps the right restaurant owners, operators, franchise leaders, and technology buyers discover Palona, understand its value, experience the product, and become qualified opportunities. We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine optimization, paid acquisition infrastructure, attribution, analytics, and AI-enabled growth workflows. You will work across the public website, landing pages, demos, calculators, content systems, marketing and sales integrations, and the data pipelines that connect acquisition to revenue. The objective is not broad traffic or dashboard activity. It is a measurable, compounding system for qualified demand and pipeline. You will partner closely with Growth, Marketing, Sales, Product, and Design while remaining a production engineer with a high bar for code quality, performance, measurement, and user experience. What you’ll own • Build fast, compelling, conversion-focused web experiences for high-intent restaurant buyers., • Create and iterate on landing pages, interactive demos, ROI tools, comparison experiences, and other acquisition products., • Establish reliable end-to-end attribution from source and campaign through demo booking, qualification, opportunity, and closed revenue., • Instrument product and marketing events, persist campaign context across domains and tools, and improve data quality across the funnel., • Design an experimentation system for messaging, offers, page structure, onboarding, calls to action, and acquisition channels., • Improve technical SEO and GEO foundations, including performance, crawlability, metadata, structured data, internal linking, and content architecture., • Integrate and automate workflows across analytics, CRM, scheduling, advertising, content, and sales systems using APIs and server-side events., • Apply AI to accelerate research, content operations, personalization, campaign analysis, and experiment generation while building appropriate review and quality controls., • Analyze funnel behavior and unit economics, identify the highest-leverage bottlenecks, and ship improvements rather than stopping at recommendations., • Partner with Growth and Sales to define qualified-conversion metrics and ensure optimization targets reflect pipeline quality, not vanity volume., • Build reusable systems so the company can launch new product pages, vertical campaigns, and experiments quickly and safely. Requirements • 3+ years of industrial experience in relevant technical domain., • Strong full-stack web engineering experience, ideally with TypeScript, React, Next.js, APIs, and modern deployment platforms., • Experience building measurable user funnels, experimentation systems, analytics instrumentation, or growth products in production., • Working knowledge of SEO, web performance, conversion optimization, paid acquisition mechanics, and attribution; deep expertise in every channel is not required., • Ability to work with data using SQL or analytics tools and translate findings into prioritized product and engineering work., • Experience integrating third-party APIs and managing the reliability, consent, identity, and data-quality challenges they create., • Strong product taste and the ability to write or collaborate on clear, outcome-oriented customer experiences., • A rigorous approach to experimental design and causality; you know the difference between correlation, directional evidence, and a trustworthy test., • AI-native working habits and a practical view of where automation needs human judgment., • Comfort owning business outcomes and collaborating closely with non-engineering partners. Benefits • Competitive Salary and Stock Option Plan., • Medical, dental, vision, retirement, leave, and disability benefits as applicable., • Family Leave, • Short Term & Long Term Disability, • Paid time off and company holidays., • Learning and development support.

Job DescriptionMember of Technical Staff - Applied ML Company: Confidential — venture-backed technology company Location: New York, NY (Flatiron office, in person 5 days per week) Compensation: $175,000 - $350,000 + highly competitive equity Employment Type: Full-time Visa Sponsorship: Visa transfers; can sponsor all types About the Company The client started from the belief that AI agents would become integral to knowledge work, and that accounting (structured, high-stakes and essential to every business) would be among the first domains transformed. Three years in, the client can complete a partnership tax workbook end to end, and accountants use it daily to create complex journal entries and debug reconciliations, with capabilities improving every month. The client has raised a $140M Series B. The Role As an ML Engineer at the client, you will own end-to-end projects that bring intelligence into production: the systems that help its agents reason, plan and evaluate themselves. You will have full autonomy to plan projects, define success, run experiments and decide when a system is ready to ship. This is an applied role for engineers who want to operate as researchers and builders at once. What You Will Do • Design and iterate multi-agent architectures that automate real accounting workflows, with clear autonomy boundaries, tool usage and fallback behavior., • Manage context and memory across agent steps; route, evaluate and optimize models under latency, cost and accuracy constraints., • Build scalable offline and online evaluation pipelines that run hundreds of experiments automatically, with golden tasks, labeling strategies and metrics., • Instrument the stack to catch regressions, track error taxonomies and drive closed-loop improvement., • Architect prompt stacks, retrieval and indexing pipelines, and document parsing into structured representations agents can reason about., • Scope projects with concise specs, build and test end to end, and communicate progress clearly within your pod.What You Bring, • 4-12 years as a machine learning engineer, • Experience at a fast-paced startup (Series A-D), a tier-1 tech company or a hedge fund, • End-to-end LLM agent applications: benchmarking, model orchestration and evals for agent behavior and reliability, • Structured ML experimentation: framing hypotheses, building evaluation infrastructure, iterating on measurable results, • CS, physics, math or other technical degree from a top school, • Very clear communication, • Located in the US or Canada and able to work in the New York office 5 days a weekNice to Have, • ML products and underlying models at a fast-paced company, • Deep Python and LLM/transformer expertise, • Interest in AI's impact on accounting and financeInterview Process Initial screen with leadership, meet-the-team screen, technical coding interview, onsite plus references. Tech Stack Python, Postgres, LLMs, agent frameworks, evaluation pipelines Before you apply: get a free recruiter-readiness score for your resume at CareerStanding — about a minute, no signup, and your resume stays in your browser.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is hiring an AI Engineer for our Developer Relations Engineering team: an engineer who builds agentic AI systems and enjoys showing other developers how they work. You will build reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference. In this role, you will lead technical content creation, community engagement, and developer outreach across AI infrastructure and managed services workloads. You will produce documentation, tutorials, white papers, sample applications, and video guides. You will partner with the Product, Engineering, Research, and GTM/Solutions Engineering teams and work across the open-source agent ecosystem. You will spend most of your time building and then sharing what you build. What You'll Be Working On: Agentic Reference Systems: Architect and ship end-to-end reference agents and starter kits on Crusoe that developers can use as a starting point for production, covering tool use, MCP, multi-agent orchestration, RAG, structured outputs, memory, and evals. Examples & Documentation: Own the code examples, tutorials, and documentation that help developers go from first API call to working agent, and keep them tested and up to date as the ecosystem changes. Open Source & GitHub: Own Crusoe's developer-facing GitHub presence, including examples, cookbooks, and integrations. Contribute upstream to agent frameworks, inference engines, and developer tooling (for example LangGraph, LlamaIndex, CrewAI, Pydantic AI, the OpenAI Agents SDK, MCP, vLLM, and SGLang) so they work well with Crusoe. Technical Content & Video: Turn the systems you build into content developers rely on: deep-dive blog posts, notebooks, YouTube videos, livestreams, and short technical clips. Building in Public: Share your work on X, LinkedIn, YouTube, Discord, Reddit, Hacker News, etc. Answer technical questions, review community projects, and become a trusted technical voice in the agent and open-source community. Use-Case Blueprints: Partner with GTM/Solutions Engineering to spot recurring customer patterns and turn them into open reference architectures for developer segments such as Physical AI, robotics, simulation, and other industry verticals. Product & Research Partnership: Join Product, Engineering, and Research workflows. Test features and models before launch, make sure samples and docs are ready on launch day, and bring developer friction back as concrete product input, following each issue until it is fixed or explicitly deprioritized. Talks & Workshops: Give technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops. What You'll Bring to the Team: Engineering Experience: 5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role, with strong Python. A Developer Relations title is not required. Engineering Credibility: Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers. Agentic AI: Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation, using one or more frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or the OpenAI Agents SDK. You have well-formed opinions about what works and what breaks in production. Cloud Infrastructure: Experience working with cloud computing platforms (such as AWS, GCP, or Azure) or managed AI solutions, with a foundational understanding of cloud infrastructure concepts. Inference & Model Serving: Working knowledge of how models are served, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang. You can explain cost and latency tradeoffs credibly. Public Track Record: Evidence of sharing technical work in public through GitHub repos, open-source contributions, blog posts, videos, talks, or an active technical presence on social platforms. Please include links when you apply. Technical Communication: Strong communication skills across written and verbal formats, including technical documentation, white papers, video explainers, and presentation decks. Ownership & Collaboration: You work well across teams, set your own priorities, and ship in a fast-moving environment. Travel Requirement: Ability to travel up to 20%. Education: Bachelor's/Master's/PhD degree in Computer Science, or equivalent practical experience. Bonus Points Maintainer or significant contributor to an open-source AI, agent, or inference project Experience producing technical video content such as YouTube tutorials, livestreams, or screencasts Experience fine-tuning or post-training open-weight models (SFT/RL/LoRA) An existing technical audience that trusts your views on models, agents, and tooling Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $180,000-$220,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Career Renew is recruiting for one of its clients a Frontend Engineer - Crypto - this is a fully onsite position in NYC. Salary range: 185-250K USD yearly. What we're building: Multi Asset Margin for Hyperliquid. Giving users the ability to post variable forms of collateral, instead of selling collateral for USDC and depositing to Hyperliquid. Multi asset margin comprises of over 86% of accounts in Crypto. What is Hyperliquid.xyz: Hyperliquid is the fastest growing crypto derivatives exchange which is a 20-30B a year revenue sector. Currently around 6% of global market share. Hyperliquid has annualised revenues of over $1B in USDC, at 99% net margin. https://www.theblock.co/post/368995/hyperliquids-revenue-all-time-high?utmsource=telegram1&utmmedium=social How we're building it: Blockchain under the hood, users will post collateral on our systems and we'll extend USDC collateral on venues of their choice. We will bring the venues to the user, as opposed to the user having to go to other venues. Users will be able to post various forms of collateral and eventually be able to trade on Hyperliquid without needing to sell down collateral. Join our Product & Platform team to build and maintain the applications that power our services, collaborating with designers, backend engineers, and product managers to deliver responsive, high-performance user interfaces. What you'll do -Design, build, and maintain full-featured websites and UI components optimized for both web and mobile. -Collaborate closely with designers to translate wireframes into responsive, accessible experiences. -Develop performant interactive charts and visualizations. -Optimize performance, leveraging SSR and CDN delivery. -Integrate with REST APIs, WebSockets, and manage client-side state and caching. -Configure and maintain CI/CD pipelines for builds, previews, and rollbacks. What you bring -3+ years building frontend applications. -Expert proficiency in JavaScript/TypeScript and React. -Strong CSS fundamentals (e.g. Flexbox, Grid, responsive/mobile-first design) and Tailwind CSS experience. -Deep understanding of browser rendering and performance profiling (e.g. Lighthouse). -Experience with testing frameworks (e.g. Jest, Mocha) and writing maintainable test suites. -Familiarity with modern data-visualization libraries (e.g. Chart.js, D3) and handling real-time data streams. -Authorized to work in the United States. Compensation & Package $185-250k annual salary. -Company equity. -Medical, dental, and vision insurance with HSA options. -Paid vacation and holidays. -Retirement plan with employer match.