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Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: 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. Team Description: 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. In this role, you will: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: 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 At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Established company, that is innovating the preventive healthcare space seeks a Principal Software Architect with expertise in event-driven, service-oriented systems! This Jobot Job is hosted by: Rachel Hilton Berry Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $225,000 per year A bit about us: We are seeking a highly skilled and passionate Principal Software Engineer to join our dynamic team in the healthcare industry. This is an excellent opportunity to make a significant impact in a fast-growing, innovative company that is committed to improving patient care through technology. As a Principal Architect, you will be responsible for leading, building, and maintaining cloud and web applications that are critical to our operations and patient care. You will work closely with a team of developers, designers, and product managers to deliver high-quality software solutions that meet our business needs. Why join us? • Innovative health screening company., • Looking to innovative with AI., • Stable company with 25+ years in the making., • Remote work. Job Details We’re looking for someone with conviction—clear technical vision, confident decision-making, and the ability to inspire teams toward bold, forward-thinking solutions. You thrive in ambiguity, take initiative, and bring creative solutions to complex challenges. You’re resourceful, collaborative, energized by change and thrive in a culture built on agility, experimentation, and big ideas. Responsibilities: • Define and drive backend architecture using patterns such as event-sourced systems, event stores, and domain-driven design to ensure traceability, modularity, and scalability., • Architect event-driven systems using Amazon EventBridge to enable decoupled service communication and real-time responsiveness across distributed applications., • Lead AWS cloud engineering from design through delivery, aligning infrastructure with product and business needs., • 10+ years of software development experience, including 5+ years in senior technical leadership roles, • Proven success architecting and developing backend systems for high-volume, distributed applications, • Deep expertise in AWS cloud architecture, including hands-on experience with AWS CDK, serverless design, and cloud-native patterns, • Experience designing and implementing event-sourced systems and event stores for traceability and auditability, • Strong background in CI/CD pipelines, Infrastructure as Code, and DevOps best practices, • Proficiency in JavaScript/TypeScript, Node.js, React, and GraphQL, • Familiarity with Apollo Federation, domain-driven design and modular front-end architectures, • Hands-on experience with observability tools such as AWS CloudWatch and AWS X-Ray, with a focus on reliability and incident response, • Demonstrated ability to mentor engineers, lead cross-functional initiatives, and drive technical strategy, • Strong communication and stakeholder management skills, • Advocacy for AI-assisted engineering practices, driving adoption and responsible integration, • Experience in startup or high-growth tech environments preferred Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Nationally Recognized Multifamily Builder Seeking an Assistant Superintendent in Greater Los Angeles! Competitive Pay, Bonus Potential, Industry-Leading Benefits, and Career Growth Opportunities This Jobot Job is hosted by: Katie Collins Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $120,000 - $180,000 per year A bit about us: We are a nationally recognized multifamily builder with a strong track record of delivering high-quality residential communities. For over three decades, our team has been dedicated to creating best-in-class homes that enhance neighborhoods and improve lives. Our culture is built on integrity, accountability, and continuous improvement, and we’re committed to providing a collaborative, growth-oriented work environment where your contributions truly matter. Why join us? • Competitive salary range: $100,000 – $185,000 DOE • Performance-based bonus program, • 4 weeks PTO for all new associates (prorated by hire date), • 11 paid holidays + 8 early release days, • Comprehensive health benefits (Medical, Dental, Vision, Life Insurance), • 401(k) with up to 5% company match, • Health Savings & Flexible Spending Accounts, • Paid parental leave & volunteer time, • Tuition assistance and career development programs Job Details We’re seeking an Assistant Superintendent or Superintendent to join our Greater Los Angeles construction team. This role supports the Field and Project Management team in managing all aspects of field operations for large-scale multifamily projects, ensuring quality, safety, and schedule adherence. Responsibilities: • Oversee daily jobsite operations for assigned trades and project areas, • Coordinate subcontractor work across trades such as framing, roofing, HVAC, electrical, plumbing, masonry, earthwork, painting, and landscaping, • Maintain project schedule, prepare 2- and 4-week lookahead plans, and track progress, • Conduct inspections, prepare punch lists, and ensure quality completion before sign-off, • Enforce company safety policies and lead safety walks with inspectors, • Schedule and manage deliveries, dumpster hauling, and temporary facilities, • Facilitate city and third-party inspections, including ADA/FHA compliance reviews, • High school diploma required; Bachelor’s degree in construction or related field preferred, • 5+ years of construction experience, including 3+ years in multifamily projects, • Strong knowledge of multifamily construction procedures, quality control, and scheduling practices, • Proficient in Procore and Microsoft Office Suite Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: Diversified global enterprise operating at the intersection of media, information services, and technology. With a long-standing history of innovation and reinvention, we support a broad portfolio of businesses spanning digital media, financial services, healthcare, data analytics, and software-driven platforms. Why join us? This is a chance to build the future of automation at enterprise scale. You won’t be maintaining legacy processes—you’ll be designing how systems integrate, how data flows in real time, and how AI-driven automation transforms IT operations. You’ll have the autonomy to shape the roadmap, deliver visible wins quickly, and influence how a large organization modernizes asset management and governance. If you’re a hands-on engineer ready to step into automation and AI leadership, this role offers real ownership, meaningful impact, and the opportunity to leave behind systems that are smarter, faster, and built to last. Job Details Director, Asset Automation & Systems Integration Job Description About the Role We are seeking a forward-thinking and highly technical Director of Asset Automation & Systems Integration to lead the transformation of enterprise asset management capabilities. This role goes far beyond traditional IT asset management. It is focused on building the foundation for a fully automated, AI-enabled future where disparate systems integrate seamlessly, data flows automatically, and manual reconciliations are eliminated. The ideal candidate is a hands-on technologist with proven experience in systems integration, automation, and modern infrastructure engineering. This role manages a small, established asset management team, but the primary focus is on designing and delivering next-generation solutions: connecting critical data sources to the CMDB, developing live integrations, enabling AI-driven automation, and shaping the long-term roadmap for automation and digital workforce capabilities. This is a rare opportunity to build the future of IT operations at scale and is well suited for an engineer with an identity, cloud, or network background who is ready to expand into AI and automation leadership. Key Responsibilities Systems Integration & Automation Design, build, and maintain integrations between CMDB platforms, identity systems, security tools, cloud services, and network portals. Evaluate failed or inefficient integrations, conduct retrospectives, and recommend scalable, sustainable solutions. Create and execute a technical roadmap to achieve live, automated data flows across the enterprise. AI & Automation Roadmap Drive adoption of AI tools and autonomous agents to enhance IT operations. Partner with automation teams to leverage shared toolkits and establish best practices. Position the asset management function for a future where governance and operations are highly automated. Leadership & Stakeholder Management Manage and mentor a team of asset management professionals, guiding them toward higher-value, automation- and AI-driven work. Collaborate closely with infrastructure, identity, cloud, network, and security engineering leaders. Engage senior leadership, providing clear updates, recommendations, and strategic guidance on automation initiatives. Strategic Delivery Deliver near-term automation wins while building toward long-term AI-enabled capabilities. Collect, analyze, and synthesize input from engineering and security teams to ensure the CMDB contains meaningful, actionable, and trusted data. Own retrospectives on unsuccessful initiatives and propose cost-effective, technically sound alternatives. Qualifications Technical Expertise (any of the following) Identity Engineering: Experience with modern identity platforms such as SailPoint, Okta, or equivalent. Cloud Engineering: Azure, AWS, or Google Cloud with hands-on experience in integrations and automation. Network Engineering: Strong experience with network portals, device integrations, and providers (e.g., Cisco, Meraki, Palo Alto). Required Skills Proven experience designing and implementing integrations across enterprise systems. Deep technical understanding of automation concepts, APIs, and system interoperability. Strong knowledge of data normalization, deduplication, and synchronization. Ability to create and execute a technical roadmap. Curiosity and demonstrated aptitude for AI and emerging automation technologies. Preferred Qualifications Prior leadership or small-team management experience. Experience with ServiceNow CMDB or equivalent platforms. Strong business acumen, with the ability to balance cost, efficiency, and risk in technical decision-making. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Senior Technology Development Operations Engineer Cooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team. Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem), • Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools, • Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins, • Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery, • Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic, • Participate in incident response, root cause analysis, and postmortem documentation, • Support release management processes across Dev/Test/Prod environments, • Work with development and data teams to integrate applications into the DevOps-managed environment, • Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps, • Provide documentation and knowledge sharing for operational processes and tooling, • Consult peer teams for feedback during the design, testing, and implementation stages, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years of experience in cloud infrastructure and DevOps, • Proficiency in AWS or Azure architecture, configuration, and security, • Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform skills, including use of Terragrunt and advanced workflows, • Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Experience deploying .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's degree in Computer Science, IT, Engineering, or associated discipline, • Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow, • Experience deploying AKS/EKS/GKE via IaC, • Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake) Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues., • Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

The Senior IAM Engineer will play a key role in designing, implementing, and operating enterprise identity and access management capabilities across Microsoft Entra ID and the organization's credential management systems to include PKI. This role requires deep technical expertise, hands-on engineering experience, and the ability to translate business and security requirements into secure, automated identity controls. 1. Microsoft Entra Identity Services • Design, implement, and maintain secure SSO integrations for SaaS and on-prem applications using SAML, OIDC, and OAuth2., • Lead the automation of user provisioning and deprovisioning workflows via Entra ID and SCIM-based integrations., • Develop and manage access reviews, entitlement management, and least-privilege policies using Microsoft Entra and Azure AD Identity Governance., • Implement and maintain conditional access policies, MFA configurations, and group-based access controls., • Collaborate with application owners and security teams to ensure consistent identity lifecycle management across hybrid cloud environments. 2. PKI and Credential Management • Design, implement, and operationalize enterprise PKI infrastructure, including certificate authorities, registration authorities, and certificate templates., • Enhance and automate certificate enrollment, renewal, and revocation workflows across servers, applications, and end-user devices., • Integrate certificate-based authentication (CBA) with identity platforms and endpoint management systems., • Develop policies and processes for credential issuance, rotation, and lifecycle management., • Bachelor's degree in Computer Science, Cybersecurity, or related field (or equivalent experience)., • 5-8 years of experience in IAM engineering or related security infrastructure roles., • Deep knowledge of Microsoft Entra ID (Azure AD), identity protocols (SAML, OIDC, OAuth2), and lifecycle management best practices., • Experience implementing Entra ID Identity Governance features (access reviews, entitlement management, PIM)., • Strong expertise with PKI technologies (Microsoft ADCS, cloud-based CAs, HSM integration, CRLs, and certificate automation)., • Familiarity with modern credential management tools (e.g., Venafi, Keyfactor, HashiCorp Vault, or Azure Key Vault)., • Hands-on scripting experience (PowerShell, Python, or similar) for automation and API integrations., • Experience with identity federation and hybrid cloud IAM architectures., • Prior experience integrating EntraID (or other IDP) with SAP GRC Access Management and/or SAP IAS., • Knowledge of device identity, machine certificates, and code-signing processes., • Strong troubleshooting and documentation skills., • Strong Microsoft based skills as it relates to IAM., • Streamlined identity lifecycles with measurable improvements in provisioning efficiency and access compliance., • Automated certificate management processes reducing human intervention and outages. Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $105,500.00 - $151,000.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Computer Science or a related technical discipline, or equivalent experience7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on

Computer Science or a related technical discipline, or equivalent experience7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on s

Computer Science or a related technical discipline, or equivalent experience7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on s

Pre-Sales Engineer, CybersecurityThis role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Job Description:Hewlett Packard Enterprise (HPE) is redefining secure connectivity from edge to cloud, and we are looking for a Cybersecurity Pre-Sales Engineer t

Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent). Position Summary Engineering Foundry/Software Engineering Development - Full-stack Developer/Consultant/Software Engineer - II Join our AI & Engineering te

About the RoleProduction Engineering ensures CoreWeave’s cloud runs with world-class reliability, performance, and operational excellence. As a Production Engineer on Herd, you’ll define and build the systems that power a scalable agentic ecosystem. You’ll design distributed services and data

Division: New York Main Project Location(s): New York, NY 10001 USA Minimum Years Experience: Travel Involved: 10-20% Job Type: Regular Job Classification: Experienced Education:Bachelors Degree Job Family:Construction Compensation:Salaried Exempt Job Title: Project Engineer City: New York State: NY JOB DESCRIPTION: • Lead, mentor, and support development of project engineering staff; participate in recruiting and onboarding efforts, deliver timely performance feedback, contribute to annual performance reviews, utilize talent development tools, and identify training opportunities aligned with project and individual development goals., • Establish and manage project communication protocols using platforms using Procore and Autodesk Construction Cloud to ensure efficient flow of information and approvals between the design team, consultants, owners, and trade partners. Lead coordination of OAC and internal meetings with clear documentation and follow-up., • Collaborate closely with Preconstruction and Procurement teams by providing detailed engineering insight during trade package development, focusing on scope clarity, constructability challenges, and site logistics. Leverage hands-on estimating experience across trades-including painting, specialties, demolition, and finishes-to support accurate scoping and buyout strategies, particularly on complex projects like active hospital renovations and occupied office fit-outs that require phasing, infection control planning, and coordination with ongoing operations., • Conduct constructability and quality control reviews of design and construction documents, proactively identifying gaps, coordination conflicts, or code compliance issues. Collaborate with the design team to resolve discrepancies while contributing to logistics planning, value engineering studies, and material or method recommendations-drawing on practical field experience in engineering and superintending to ensure buildable, cost-effective solutions., • Assist in development and review of trade partner Scope of Work (SOW) documents, ensuring clarity and completeness for bidding and contracting, incorporating lessons learned from field coordination and estimating roles., • Leverage BuildingConnected for estimating and budgeting efforts by soliciting trade partner bids, performing detailed bid leveling, and maintaining bid coverage across multiple packages to support cost certainty and informed procurement decisions., • Create and maintain procurement schedules for trade partners, major equipment, and long-lead materials in coordination with the project schedule using tools including Microsoft Excel, Touchplan and P6, ensuring alignment with construction milestones., • Prepare and track detailed project status updates and financial reports, collaborating with the project controls team to monitor budgets, forecasts, and cash flow projections, utilizing knowledge from estimating and cost tracking experience., • Schedule, facilitate, and document project meetings including internal coordination, subcontractor meetings, and Owner-Architect-Contractor (OAC) sessions, ensuring all action items are recorded and addressed using Procore., • Utilize SAP for comprehensive change order management, including tracking of trade partner proposals, internal cost exposure, owner-directed changes, and contract revisions. Facilitate owner negotiations by clearly presenting scope changes, supporting cost breakdowns, and providing backup documentation to justify changes. Ensure accurate documentation and timely approvals throughout the lifecycle of the project by maintaining detailed change order logs, collaborating with internal teams and owners for thorough reviews, and aligning all changes with project budget forecasts and contractual requirements., • Conduct data analysis and project cost reporting using Microsoft Excel to track estimate-to-actual trends, analyze buyout savings, monitor trade partner productivity, and prepare visual dashboards that support project reviews and executive reporting., • Lead project close-out efforts, including punch list coordination, turnover documentation, O&M manual compilation, warranty submissions, trade close-out tracking, and archival of records for future reference using Procore. EDUCATION AND EXPERIENCE REQUIREMENT: Requires a Bachelor's degree in Architecture and 3 years of experience in job offered or 3 years of experience in the Related Occupation. RELATED OCCUPATION: Assistant Estimator or any other job title performing the following job duties: • Assisting with project document management by reviewing drawings, specifications, reports, and stakeholder inputs; maintaining organized records and distributing information to relevant parties., • Performing quantity take-offs and preliminary assessments from architectural plans and field conditions to support estimating, progress tracking, and feasibility studies., • Supporting preparation of cost estimates and budgets by analyzing scope requirements, evaluating proposals, and conducting variance analyses to inform project decisions., • Drafting and processing project communications including RFIs, clarifications, assumptions, and narratives to resolve design or scope ambiguities and mitigate risk., • Serving as a liaison with stakeholders (trade partners, architects, engineers, consultants, clients, and government bodies) to coordinate technical inputs, scope clarifications, and project deliverables., • Evaluating trade partner or consultant proposals for scope, compliance, and cost, and documenting findings for project leads or client review., • Supporting change management and scope alignment by reviewing field progress, identifying scope gaps or overlaps, and assisting with change order preparation and tracking., • Participating in value management efforts by analyzing design alternatives, constructability issues, and site or regulatory constraints to recommend cost-efficient and effective solutions., • Contributing to bid and proposal development by compiling technical documentation, organizing supporting data, and coordinating with project teams to meet submission requirements., • Assisting in project planning and scheduling efforts by supporting site logistics, mobilization planning, and sequencing of work to align execution with project requirements., • Monitoring and analyzing productivity and progress trends against budgets, estimates, or feasibility benchmarks, and reporting variances to support informed decision-making. Turner is an Equal Opportunity Employer - race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other characteristics protected by applicable law. Apply NowShare Save Job

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: 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: 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. 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). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 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. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 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. Use programming languages like Python, Scala, or Java. Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

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Hands-On coding in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka. Hands-On coding in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka.

Microsoft certifications such as Azure Solutions Architect or M365 Certified: Modern Desktop Administrator Associate are preferred.

Job DescriptionRole: Senior Quality Engineer with BDDLocation: New York/Fort Mill SC Mode: Hybrid Duration: Full time Job DescriptionWe are seeking a skilled Quality Engineer with hands-on experience in Behavior-Driven Development (BDD) to ensure the quality and reliability of our data ingestion and pipeline solutions. The ideal candidate will collaborate with cross-functional teams to define, implement, and automate BDD test scenarios for complex data workflows.Responsibilities • Collaborate with product owners, data engineers, and business analysts to define acceptance criteria and BDD scenarios for data ingestion and pipeline processes., • Design, develop, and maintain automated BDD test suites using frameworks such as Behave, Cucumber, pytest-bdd and Playwright for Ui validations., • Validate data integrity, transformation logic, and end-to-end data flow from source to target systems., • Identify, document, and track defects; work with development teams to resolve issues., • Integrate automated tests into CI/CD pipelines for continuous quality assurance., • Analyze test results, generate reports, and communicate findings to stakeholders., • Contribute to test data management and environment setup for data pipeline testing., • Stay current with industry best practices in data quality, test automation, and BDD methodologies.Required Skills & Qualifications, • Bachelor’s degree in Computer Science, Engineering, or related field., • 5+ years of experience in software quality assurance or test automation, preferably in data engineering environments., • Strong experience with BDD frameworks (Behave, Cucumber, pytest-bdd, Playwright) and Gherkin syntax., • Experience with Implementing Test Runners such as TestNG, Selenium WebDriver to run tests and document reporting and results., • Proficiency in Python, Java or another programming language used for test automation., • Solid understanding of ETL/ELT processes, data ingestion, and data pipeline architectures., • Experience testing data transformations, data quality, and data integrity., • Familiarity with relational databases (SQL), data warehouses, and cloud data platforms (e.g., AWS Glue) and Snowflake., • Experience with CI/CD tools (e.g., Jenkins, GitHub Actions)., • Knowledge of data governance and data privacy best practices., • Exposure to containerization (Docker, Kubernetes) and infrastructure as code.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job DescriptionAbout Us At Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout - the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. Role Overview We're looking for a Backend Engineering Manager to lead and scale our backend infrastructure team. This high-impact role reports to the CTO with significant opportunity to shape our technical architecture and engineering culture as we scale. You will be drive technical excellence while building a high-performing team - ensuring we deliver robust, scalable backend systems that power seamless Web3 payments. This role is perfect for a crypto-native engineering leader who excels at balancing technical depth with people management.Responsibilities • Own the overall output of the backend engineering team - deliver reliable, scalable infrastructure that supports our growing Web3 payments platform, • Lead, mentor, and grow a team of backend engineers while fostering a culture of technical excellence and continuous learning, • Collaborate with product and protocol teams to translate business requirements into robust technical solutions, • Establish engineering best practices, code quality standards, and deployment processes, • Lead incident response and post-mortem processes to continuously improve system reliabilityRequirements, • Experience as an IC engineer with staff level output, • Strong technical background in distributed systems, APIs, and database design, • Opinions on a modern cloud stack, • Leadership experience in high-performing engineering teams, • Experience with payment systems, financial infrastructure, or fintech applications, • Exceptional communicator who can translate technical concepts to cross-functional stakeholders, • Data-driven approach to decision making with focus on system performance and team productivityNice to Have, • Previously worked at crypto startup or Web3 infrastructure company, • Experience with blockchain integrations, smart contracts, or DeFi protocols, • Background with high-scale payment processing or financial compliance systems

Job DescriptionWho you areAs a Copia employee, you’ll solve challenging, unique, and meaningful problems alongside passionate coworkers while we change the way everything gets built.As a Senior Platform Engineer, you bring experience across Site Reliability Engineering, DevOps, and Infrastructure Engineering. You take ownership of technical projects (ideally with prior experience solving similar problems) and provide thought leadership. You’re comfortable making architectural decisions, guiding other engineers, and helping set the technical direction of the product.Building products for the industrial automation space requires knowledge uncommon to most software engineering jobs. In your day-to-day, you’ll learn about a wide variety of industrial automation topics. About usCopia Automation provides best-in-class disaster and recovery technology for industrial automation.Our product brings modern developer tools to the OT space through our novel Git-based source control for automation professionals, with multiple delivery methods including self-hosted and fully hosted options. We are a well-funded startup with a growing list of happy customers throughout the industrial space.As a Copia employee, you’ll solve challenging, unique, and meaningful problems alongside passionate coworkers, while we change the way everything gets built. Why industrial automation?Manufacturing is powered by industrial automation—computerized systems and robotics running on PLCs. This ecosystem uses a unique graphical language that doesn’t work with typical developer tools like GitLab or GitHub. Instead, automation professionals rely on physical storage devices, incompatible tools, and incomplete solutions. When minutes of downtime can cost tens of thousands of dollars, better development tools are urgently needed. Engineering at CopiaThe Copia engineering team solves problems through collaboration, experimentation, and ownership. We pair on tough issues and look for ways to test our assumptions. You’ll join a team that encourages ownership and values pragmatic solutions, weighing short-term needs and long-term goals.Finally, we’re optimistic. We celebrate successes, support each other through unexpected challenges, and approach problems with a positive attitude.What you'll do: • Take ownership of challenging technical projects across cloud, on-prem, and bare metal environments, • Deploy and test our web application across various cloud providers and self-hosted infrastructures across Linux and Windows Server, • Develop tools that enable an efficient SDLC capable of delivering to cross-platform targets, • Work with modern infrastructure stacks, including Kubernetes, virtualization platforms, and hybrid cloud/on-prem, • Solve scaling and reliability challenges in our cloud offering as we onboard new customers, • Maintain a high bar for service availability and performance while handling customer data with best-in-class security practices, • Apply cloud-native design principles to architect infrastructure supporting real-world industrial workloads, • Provide technical guidance and help define the roadmap with time for deep engineering work and minimal interruptions, • Support our self-hosted customers as they onboard and operate our platformWhat you'll need:, • 3–5 years of SRE/DevOps/Infrastructure experience, • Experience architecting and operating infrastructure on major cloud providers (AWS or similar), • Experience with modern container platforms such as EKS, AKS, or GKEExperience with one or more programming/scripting languages including Go, Python, or Typescript, • Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation, • Knowledge of cloud security best practices, • Experience monitoring infrastructure using log/monitor/alert suites such as Datadog, Prometheus, OpenTelemetry, GrafanaNice to haves:, • Experience using Service Level Objectives (SLOs), • Experience operating secure multi-tenant environments or multi-tenant architectures, • Experience running workloads on bare metal or Talos OSExperience with virtualization platforms such as VMWare or Nutanix, • Experience with configuration management tools such as Packer and AnsibleInterest or experience in manufacturing and hardware innovation (EE or ME), • Interest or experience in industrial automation and PLCsExperience working in compliant environments including SOC2 or ISO27001Benefits include unlimited PTO, employer-subsidized healthcare through Aetna, commuter benefits, in-office lunches, and more! Full-time, permanent employees also receive generous equity packages.Come join us!Copia is growing extraordinarily fast! Join a best-in-class start-up with huge amounts of upside and impact. Our headquarters is in New York City.

Job Description CTO / Founding Engineer (Full-Stack, Backend-Leaning) Creator Economy / Direct-to-Fan Location: Remote (U.S. preferred or U.S. time zone overlap) Compensation: Competitive base + meaningful equity Nxt Level Recruiting is partnering with a high-growth direct-to-fan services company in the music/creator economy to hire a Founding Engineer. Our client works with established artists and creator teams to turn anonymous listeners and followers into engaged fans and repeat buyers, powering high-visibility digital campaigns and measurable revenue impact. This is an early, high-ownership role for a builder who enjoys shipping, partnering closely with the business, and helping shape product direction as the company scales and prepares for its next stage of growth. What Our Client Is Building Our client is developing a web platform and system designed to maximize long-term fan engagement and monetization for musicians and creators. The company has real traction, strong case studies, and a growing roster of notable artist partners. What You'll Do • Own and ship full-stack features with a backend-leaning focus, • Lead and evolve a production platform that supports high-scale fan campaigns and integrations, • Work closely with leadership as a thought partner on roadmap priorities and execution, • Help establish engineering best practices and technical direction from the ground up, • Support client outcomes by building reliable, fast, and scalable systems, • Frontend: Angular, • Backend: .NET, • Database: PostgreSQL, • Cloud: AWS (RDS, EC2, Lambda, S3, etc.), • 5+ years of full-stack engineering experience (backend-leaning preferred), • Strong experience shipping as an individual contributor (hands-on builder), • Ownership mindset: self-sufficient, proactive, and accountable for outcomes, • Strong communication and collaboration skills—comfortable partnering with non-technical stakeholders, • Ability to thrive in a fast-paced, remote startup environment, • Early founding-level impact with significant ownership, • Direct connection between your work and real customer revenue/outcomes, • Opportunity to help define technical foundations, product direction, and team growth

Job DescriptionJob Description Role: Senior Platform Engineer Duration: 6+ Months Location: New Jersey (Hybrid) Job Summary: We are seeking a Senior Platform Engineer with 14+ years of experience in DevOps/DevSecOps and platform engineering to design, build, and automate enterprise container and middleware platforms. The role involves architecting scalable solutions, supporting Kubernetes environments, and driving automation. Key Responsibilities: • Design and implement scalable and highly available platform solutions., • Build and maintain CI/CD pipelines for containerized applications., • Manage Kubernetes platforms (OpenShift preferred; EKS/AKS/GKE acceptable)., • Implement and manage Service Mesh technologies such as Istio., • Automate infrastructure using Terraform (IaC)., • Implement monitoring, logging, and alerting for platform reliability., • Collaborate with security teams to implement DevSecOps practices., • 14+ years of IT experience in Platform Engineering / DevOps., • Strong experience with Kubernetes/OpenShift and containers (Docker/Podman)., • Experience with CI/CD tools (Jenkins, Git, etc.)., • Hands-on experience with Istio Service Mesh., • Experience with Terraform (Infrastructure as Code)., • Cloud experience with AWS (preferred) or Azure., • Scripting skills (Shell, Python, Groovy, or PowerShell)., • Experience with IBM Event Streams, IBM MQ, or IBM App Connect., • Knowledge of IBM CloudPak or WebSphere products.Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description We are looking for a skilled DevOps Engineer to join our Engineering team. In this role, you will report directly to the Director of Engineering and be responsible for building and maintaining the infrastructure, tools, and processes that power our platform at scale. You will work closely with the Software Engineers and the Product team to ensure our systems are reliable, scalable, and secure. You'll own our CI/CD pipelines, cloud infrastructure, and observability stack — and play a key role in shaping how we build and ship software. What you will do • Design, build, and maintain our cloud infrastructure., • Manage and scale Kubernetes clusters, Helm deployments, and GitOps workflows using ArgoCD., • Build and improve CI/CD pipelines to enable fast, reliable deployments., • Monitor system health and respond to incidents., • Manage data pipelines and database infrastructure (Aurora, Snowflake, CDC pipelines)., • Partner with the Director of Engineering to define and execute infrastructure strategy., • 2+ years of experience in a DevOps, SRE, or an Infrastructure Engineering role., • Strong experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes., • Hands-on experience with ArgoCD, GitOps principles, and Crossplane., • Experience with CI/CD tools and solid scripting skills in Bash and Python., • Excellent communication skills to effectively communicate complex technical information to non-technical team members and stakeholders., • Experience with data infrastructure (Snowflake, CDC pipelines, Aurora)., • Experience deploying and managing AI agents in production environments. GTpwF7XxEW

Job DescriptionTired of the inefficiencies and complexities of traditional finance? We are too. At Superstate, we create investment products that benefit from the speed, programmability, and compliance advantages of blockchain tokenization. As a Staff DevOps Engineer at Superstate, you'll be responsible for building and maintaining highly reliable, scalable infrastructure that powers our financial products. You'll architect robust systems that ensure our platforms deliver exceptional performance, availability, and security at scale. You’ll be wearing many hats across general devops, security, observability, and reliability and help lead these initiatives.What you'll do • Design and implement scalable, fault-tolerant infrastructure for our web applications and blockchain systems, • Build and maintain CI/CD pipelines, deployment automation, and infrastructure as code, • Develop comprehensive monitoring, alerting, and observability systems to ensure system reliabilityLead incident response efforts and conduct post-incident reviews to improve system resilience, • Implement security best practices across all infrastructure and deployment processes, • Collaborate with engineering teams to optimize application performance and reliability, • Establish SLIs, SLOs, and error budgets to measure and improve service reliability, • Automate operational tasks and reduce manual toil through tooling and process improvements, • Manage capacity planning and cost optimization for cloud resourcesWhat you'll bring to the team, • Bachelor's degree in Computer Science, Engineering, or related technical field, • 8+ years of professional software engineering or infrastructure experience, • Extensive experience with AWS cloud services and infrastructure management, • Extensive experience with infrastructure as code (Terraform, Pulumi), • Strong background in systems engineering, networking, and distributed systems, • Expertise in containerization and orchestration (ECS, EKS)Proficiency in languages (Java, Go, Rust, or similar) for automation and tooling, • Deep understanding of security principles and secure infrastructure practices, • Experience with high-availability systems and disaster recovery planning, • Exceptional problem-solving skills with a reliability and security focused mindsetBonus points if you have experience with these technologies, • Microservices architecture and service decomposition strategies, • Observability tools (Prometheus, Grafana, Sentry, etc.), • Database administration and optimization (PostgreSQL, Redis, AWS RDS), • AWS security services (GuardDuty, Security Hub, WAF, Shield, Config), • Cloudflare optimization and security configurations, • Github Actions workflows and deployment strategies, • Compliance automation for financial services (SOC2, ISO, PCI DSS), • Chaos engineering/resilience testing and reliability best practicesBenefits & Perks, • Competitive compensation, • Equity ownership, • Flexible vacation policy, • Paid parental leave, • Full medical, dental, and vision insurance

Job DescriptionSenior Veritas eDiscovery Platform (eDP) EngineerEmployment Type: Full-Time, Executive-LevelDepartment: Legal CGS is seeking a dedicated Senior Veritas eDiscovery Platform (eDP) Engineer to join a fast-paced and hard-working team to assist with any legal accounts. As a Veritas eDiscovery Platform (eDP) Engineer, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:Personnel assigned to this task must have the ability to adjust to changing priorities and work well under pressure. In addition, personnel may provide support along with OGC, to other FBI Divisions, such as CTD. At the Government’s discretion, available funding, and need this position will support Criminal Discovery Program. The Senior Veritas eDiscovery Platform is hosted on physical and virtualized Windows Servers and therefore requires the Contractor to provide a wide range of support tasks including but not limited to: - Contractor shall participate in teleconferences or technical meetings to review, educate, and support program objectives; - Contractor shall perform configurations, maintenance, monitoring, and troubleshooting using current engineering documentation; - Contractor shall record configurations change requests through the established change control board; - Contractor shall process storage requests, migrations and decommission tasks; - Contractor shall monitor failed system components and coordinate logistics, vendor support, and site support as needed;- Contractor shall respond to monitoring alerts and warnings with prompt corrective actions and escalations; - Contractor shall complete all scheduled maintenance in accordance with established policies and procedures; - Contractor shall prevent data loss or storage system outages by exercising a high level of attention to detail during maintenance; - Contractor shall manage technology in remote environments; - Contractor shall review and process tickets related to supported system according to the established service level agreements tracked within the service manager database; - Contractor shall provide initial response, Level 1 and Level 2 escalation for outages; - Contractor shall schedule maintenance actions in a timely manner; - Contractor shall create Power Shell and VBS scripts as needed to automate routine maintenance tasks; - Contractor shall perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, and systems; - Contractor shall review system and application logs to verify completion of scheduled jobs such as backups; - Contractor shall apply OS patches and upgrades on a regular basis; upgrade administrative tools and utilities; upgrade end user applications; - Contractor shall configure / add new services as necessary; - Contractor Shall facilitate the migration of the system implementation into cloud infrastructures. - Contractor shall research and recommend innovative, and where possible automated approaches for system administration tasks; - Contractor shall prepare and review technical assessments to include required tasks, estimated time frames, and effort for any scope project; Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation!Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Phone: +1 (888) 680-5916Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Staff Security Engineer to serve as a technical anchor for our security function. This role is critical for leading technical design reviews and ensuring our security posture scales alongside our rapid customer growth. You will be responsible for defining the security standards that protect sensitive healthcare data, ensuring our systems are resilient against evolving threats while maintaining high engineering velocity. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: • Lead technical security design: Own the technical design and review process for security-critical systems, ensuring all new features meet Garner's high standards for data protection and resilience, • Master complex domains: Maintain and apply a mastery of one or more technical security domains (e.g., Cloud Security, AppSec, or Data) to solve the most complex business and technical challenges, • Course-correct technical direction: Identify when technical paths are inefficient or insufficient and proactively redirect efforts to capture higher ROI for the firm, • Architect automated defenses: Create and implement advanced tools and automation that increase the efficacy of security monitoring and incident response, • Translate ambiguity into execution: Take broad, complex security objectives and break them down into well-defined deliverables and architectural requirements for the broader engineering team, • Exceptional Technical Judgment: Proven ability to make high-stakes technical decisions that result in positive long-term outcomes for the company's security posture, • Strategic Problem-Solving: Effectively leverages context and data to analyze root causes and prioritize security initiatives that offer the greatest impact on risk reduction, • Influential Stakeholder Management: Builds strong relationships across the organization, conveying complex security risks in a clear and compelling manner to both technical and non-technical partners, • Drive for Innovation: Continuously identifies and implements creative solutions to pay down technical debt and improve the efficiency of our security infrastructure, • Reliability Under Pressure: Handles complex escalations and security incidents with discipline, ensuring rigorous analysis and comprehensive resolution without jumping to conclusions

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. DevOps Engineer — Platform & Infrastructure Location: Brooklyn, New York Work Arrangement: 3–4 days onsite Type: Full-time About the Role Synchron is seeking a DevOps Engineer to build and maintain the infrastructure that supports our brain-computer interface platform. In this role, you will help design and operate the systems used to develop, test, and deploy software across cloud, desktop, and device environments. Our platform supports live patient sessions, neuroscience research workflows, and internal engineering tools, making reliability and operational visibility critical. You will work closely with software, systems, data science, hardware, and clinical teams to build scalable infrastructure, improve deployment workflows, and ensure that software and firmware can be safely delivered and operated in production environments. This is an opportunity to help shape the infrastructure behind technology that directly impacts the lives of people living with neurological conditions. Key ResponsibilitiesCI/CD & Build Infrastructure • Design and maintain CI/CD pipelines supporting software and firmware development., • Improve build and release processes for desktop, cloud, and device-related software., • Maintain artifact storage, package management, and dependency tracking systems.Infrastructure & Platform Engineering, • Manage and operate cloud infrastructure supporting Synchron’s platform., • Improve system reliability, scalability, and deployment workflows., • Develop infrastructure automation and operational tooling.Observability & Reliability, • Implement and maintain logging, monitoring, and performance tracking systems., • Improve operational visibility across services and infrastructure., • Support incident response and root-cause analysis.Testing & Development Infrastructure, • Build and maintain testing environments supporting cloud services, IoT devices, and mobile/desktop applications., • Support development workflows for both software and firmware systems.Data Science & Research Infrastructure, • Work closely with the data science team to support model deployment [JW1] [BJ2] [DL3] and analysis pipelines., • Help maintain infrastructure used for experimentation, training, and model deployment.Cross-Functional Collaboration, • Collaborate with Systems, Software, Hardware, Data Science, Quality, and Regulatory teams., • Support integration of third-party systems and services., • Contribute to platform architecture and infrastructure decisions as the system evolves.Required Qualifications, • 4-6+ years of experience working with CI/CD systems, • 4-6+ years of experience managing services in production cloud infrastructure, • 2-3+ years of experience working with Linux and/or macOS environments, • 2-3+ years of experience working with Python, • Experience using Git-based development workflows, • Bachelor’s degree in Computer Science, Engineering, or related STEM fieldPreferred Qualifications, • Experience with GitLab CI/CD, • Experience with artifact management systems (e.g., JFrog), • Experience with static analysis tools (e.g., SonarQube Cloud), • Experience with Infrastructure-as-Code tools (e.g., AWS CDK), • Experience with containerization technologies (Docker), • Experience supporting IoT firmware development (e.g., Zephyr, Yocto), • Experience supporting mobile or desktop deployment workflows (iOS/macOS) In addition to base salary, this role may be eligible for discretionary bonuses and/or equity grants, subject to board approval and company policy. Visa Sponsorship We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) ***Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job Description * Candidates with fake experience are advised not to apply. To avoid fake experiences, if the client decides to interview you, they will validate all previous experiences for all projects as well as work documents (h1B, EAD, GC). Please be prepared to provide these. Any fraudulent document will be forwarded to USCIS fraud division by default. This job is hybrid in Newark NJ This position will be hybrid in NJ Transit HQ, 283-299 Market St. Newark, NJ 07102 Our direct client has an opening for Cloud Infrastructure Engineer (759097) This position is for 6 months, with the option of extension, and is the client is located in Trenton, NJ WE CAN WORK CORP TO CORP OR W2. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Experience planning and executing migration of on-premises to cloud based server environments Required 6 Years Azure, AWS, Microsoft Required 6 Years Linux server environments and OS installation & management. Required 6 Years Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere Required 6 Years DevOps toolsets, such as GitHub, Terraform and Ansible. Required 6 Years

Job Description Machine Learning Engineer / AI Engineer Newark, NJ Salary: $120,000 – $180,000 Description / Position Overview This role owns the design, deployment, and long-term performance of production machine learning systems that power data-driven products and operational intelligence. The Machine Learning Engineer is responsible for translating business problems into scalable AI solutions. This includes building end-to-end pipelines, deploying models into production environments, and continuously improving model performance. This is an engineering execution role, not a research-only position. Success requires the ability to move models from experimentation to reliable production systems that drive measurable product and operational impact. Requirements • Experience building and deploying machine learning models in real-world production environments, • Strong Python programming capability and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Understanding of statistics, probability, and optimization techniques used in machine learning systems, • Experience working with large-scale structured and unstructured datasets, • Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure, • Ability to build and manage scalable data pipelines supporting ML workflows, • Strong collaboration skills working with product, engineering, and data teams Responsibilities Machine Learning Development • Design, train, and optimize machine learning models for real-world business applications, • Build end-to-end ML pipelines including data ingestion, preprocessing, training, and evaluation, • Select appropriate algorithms and modeling approaches based on problem context, • Continuously improve model performance through experimentation and iteration Production Deployment & Infrastructure • Deploy machine learning models into scalable production environments, • Build APIs and services that operationalize machine learning capabilities inside products and systems, • Manage the full model lifecycle including monitoring, retraining, and drift detection, • Ensure reliability, scalability, and maintainability of ML infrastructure Data & Engineering Execution • Work with structured and unstructured data sources to support model development, • Implement feature engineering strategies that improve model accuracy and reliability, • Collaborate with data engineering teams to maintain clean and scalable data infrastructure, • Optimize model performance and resource efficiency in production systems Cross-Functional Collaboration • Partner with product and engineering teams to translate business needs into machine learning solutions, • Communicate technical insights and model behavior to non-technical stakeholders, • Contribute to AI roadmap planning and prioritization of ML initiatives Must-Haves • Proven experience deploying machine learning models into production environments, • Strong Python and ML framework expertise (TensorFlow, PyTorch, or Scikit-learn), • Experience building scalable ML pipelines and APIs, • Experience working with cloud infrastructure (AWS, GCP, or Azure), • Strong understanding of statistical modeling and machine learning fundamentals Final Invitation to Apply If you are a hands-on machine learning engineer who thrives on building real-world AI systems and taking models from concept to production impact, this is an opportunity to own meaningful technology that drives product innovation and operational performance. Contact Email Resume: Apply Online: Refer a friend, get up to $1000!