Job Description Job Description Dekker is looking for experienced software engineers to join our growing team. A Senior Software Engineer designs, builds, and supports the applications, data pipelines, and AI-enabled tools that Dekker teams and clients rely on, balancing internal software and integrations with data engineering and analytics work for billable and firmwide projects. Success is measured by software and data products that people use, that hold up in production, and that others can maintain. Responsibilities Collaboratively engages in project work, serving as lead technical contributor on internal and client-facing software and data projects Designs, develops, and maintains full-stack applications, APIs, and integrations using current web frameworks, C#/.NET, Python, and other necessary technologies Builds and extends tools for the firm's production platforms, including Revit/BIM add-ins, apps + integrations, and Deltek Vantagepoint data connections Designs, builds, and maintains data pipelines, data models, and data tooling that support billable analytics, internal reporting, and firm applications Supports data science and analytics work by preparing datasets, putting models into production, and building the tools and dashboards that deliver results to clients and project teams Develops AI-enabled tools and automations, integrating large language models and other AI services in line with the Dekker AI Policy Contributes to digital twin and building-data applications, including integration of BIM, IoT/sensor, and operational data Works directly with clients/end users to understand workflows, identify needs, and refine features through feedback Creates, introduces, and maintains software and data standards, including architecture, version control, testing, code review, data validation, documentation, and deployment pipelines Supports released tools and data products in production, including monitoring, issue resolution, and planned updates or sunset Collaborates with the Managing Director, Systems + Security on authentication, access, data governance, and security for all Dekker software and data Mentors and provides technical guidance to less experienced team members, including through code review In collaboration with DekkerU team, provides training and documentation for tools developed by Advanced Technology Identifies and communicates project progress, accomplishments, challenges, and support needed to complete responsibilities Responsibilities Bachelor's degree in computer science, software engineering, data science, data engineering, engineering, or related discipline, or equivalent work experience 6+ years of professional software development experience, including work on data-intensive applications Strong proficiency in Python and SQL, plus a modern web stack (e.g., TypeScript/JavaScript with React or similar) and/or C#/.NET Experience building and operating data pipelines and data models, including orchestration and data quality validation Experience designing and consuming REST or GraphQL APIs and integrating third-party platforms, including authentication (OAuth/SSO) Experience deploying and supporting applications on a cloud platform such as Azure, with CI/CD pipelines and automated testing Working knowledge of data science and analytics methods, and experience with data visualization tools such as Power BI or code-based visualization Deep understanding of AI and machine learning, including large language models, retrieval, evaluation, and responsible use, is a major plus Digital twin experience, including BIM, IoT/sensor data, or real-time 3D platforms such as Unity, Unreal, or Omniverse, is a major plus Experience with the Revit API or other BIM/CAD tools, apps, or Deltek Vantagepoint is a significant plus but not required Previous experience operating in an Agile environment Strong written, graphic, and verbal communication skills, including working directly with non-technical users Excellent problem-solving, collaboration, and consultation skills Experience with Pink Lemonade analytical design helpful but not required Dekker offers competitive benefits and salary packages based on education and experience. For a full list of our benefit options, please visit our careers page. Dekker is a family of designers, planners, architects, and engineers, intent on creating passion for the built environment through our work. We believe that architecture and design can be transformational and that it must serve more than just a functional role. It should inspire, protect, delight, and empower users and entire communities. We believe the most innovative designs are created through a multi-faceted perspective of places, people, and their processes. Collaboration, empathy, and understanding, combined with passion and expertise can shape our experiences and our environments. We strive to tune our ability to see things through the eyes, hearts, and minds of our clients. If you think your vision, passion, and experience would enhance ours, we'd love to meet you. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
11/14/2026
Full time
Job Description Job Description Dekker is looking for experienced software engineers to join our growing team. A Senior Software Engineer designs, builds, and supports the applications, data pipelines, and AI-enabled tools that Dekker teams and clients rely on, balancing internal software and integrations with data engineering and analytics work for billable and firmwide projects. Success is measured by software and data products that people use, that hold up in production, and that others can maintain. Responsibilities Collaboratively engages in project work, serving as lead technical contributor on internal and client-facing software and data projects Designs, develops, and maintains full-stack applications, APIs, and integrations using current web frameworks, C#/.NET, Python, and other necessary technologies Builds and extends tools for the firm's production platforms, including Revit/BIM add-ins, apps + integrations, and Deltek Vantagepoint data connections Designs, builds, and maintains data pipelines, data models, and data tooling that support billable analytics, internal reporting, and firm applications Supports data science and analytics work by preparing datasets, putting models into production, and building the tools and dashboards that deliver results to clients and project teams Develops AI-enabled tools and automations, integrating large language models and other AI services in line with the Dekker AI Policy Contributes to digital twin and building-data applications, including integration of BIM, IoT/sensor, and operational data Works directly with clients/end users to understand workflows, identify needs, and refine features through feedback Creates, introduces, and maintains software and data standards, including architecture, version control, testing, code review, data validation, documentation, and deployment pipelines Supports released tools and data products in production, including monitoring, issue resolution, and planned updates or sunset Collaborates with the Managing Director, Systems + Security on authentication, access, data governance, and security for all Dekker software and data Mentors and provides technical guidance to less experienced team members, including through code review In collaboration with DekkerU team, provides training and documentation for tools developed by Advanced Technology Identifies and communicates project progress, accomplishments, challenges, and support needed to complete responsibilities Responsibilities Bachelor's degree in computer science, software engineering, data science, data engineering, engineering, or related discipline, or equivalent work experience 6+ years of professional software development experience, including work on data-intensive applications Strong proficiency in Python and SQL, plus a modern web stack (e.g., TypeScript/JavaScript with React or similar) and/or C#/.NET Experience building and operating data pipelines and data models, including orchestration and data quality validation Experience designing and consuming REST or GraphQL APIs and integrating third-party platforms, including authentication (OAuth/SSO) Experience deploying and supporting applications on a cloud platform such as Azure, with CI/CD pipelines and automated testing Working knowledge of data science and analytics methods, and experience with data visualization tools such as Power BI or code-based visualization Deep understanding of AI and machine learning, including large language models, retrieval, evaluation, and responsible use, is a major plus Digital twin experience, including BIM, IoT/sensor data, or real-time 3D platforms such as Unity, Unreal, or Omniverse, is a major plus Experience with the Revit API or other BIM/CAD tools, apps, or Deltek Vantagepoint is a significant plus but not required Previous experience operating in an Agile environment Strong written, graphic, and verbal communication skills, including working directly with non-technical users Excellent problem-solving, collaboration, and consultation skills Experience with Pink Lemonade analytical design helpful but not required Dekker offers competitive benefits and salary packages based on education and experience. For a full list of our benefit options, please visit our careers page. Dekker is a family of designers, planners, architects, and engineers, intent on creating passion for the built environment through our work. We believe that architecture and design can be transformational and that it must serve more than just a functional role. It should inspire, protect, delight, and empower users and entire communities. We believe the most innovative designs are created through a multi-faceted perspective of places, people, and their processes. Collaboration, empathy, and understanding, combined with passion and expertise can shape our experiences and our environments. We strive to tune our ability to see things through the eyes, hearts, and minds of our clients. If you think your vision, passion, and experience would enhance ours, we'd love to meet you. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
Job Description Job Description Mission Operations Specialist - Ground Systems Status: Full Time, Exempt Location: Moriarty, NM Reports to: Senior Ground Systems Integrator Who Are We: Sceye is a high-growth technology company, building the next generation of instant communications, imaging, and remote sensing infrastructure through stratospheric platforms. Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18 - 21km). They can carry multiple telecommunications, imaging, and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages. Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies. At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you will contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence. About the Position: Sceye is seeking a Mission Operations Specialist - Ground Systems to deploy, integrate, configure, verify, operate, troubleshoot, and sustain mission-critical ground systems used for HAPS testing and global operations. The role provides primary technical depth in fielded ground system capability while maintaining secondary qualification in mission execution, test support, mission readiness, and operational surge activities. This is a junior, hands-on role spanning Linux-based computers, operator workstations, networks, mission applications, telemetry interfaces, RF equipment, data logging, time synchronization, storage, power, cabling, and deployable field hardware. The Specialist executes approved architectures and baselines, supports integration and readiness activities, and coordinates complex issues with the Senior Ground Systems Integrator, Ground Systems Engineer, Software, Enterprise IT, and Mission Operations. The role does not independently establish architecture or approve engineering design changes. What You Will Do: The Mission Operations Specialist - Ground Systems position will be a multi-functional role. We are looking for a positive, highly motivated professional with a strong work ethic, a collaborative and open-minded approach, and the humility and drive to work hard, continuously learn, and contribute beyond their primary area of expertise wherever the mission requires. Ground System Deployment and Integration Assist with assembly, configuration, integration, checkout, packing, deployment, installation, teardown, and redeployment of approved Ground Control Station configurations Integrate servers, Linux workstations, network devices, storage, RF and telemetry interfaces, Operator displays, communications equipment, power distribution, UPS equipment, cabling, and supporting field hardware Replicate approved ground system baselines for additional HAPS, missions, sites, training environments, and test configurations Configuration, Verification, and Acceptance Apply approved configurations to Linux systems, network devices, Operator stations, remote nodes, mission applications, and supporting infrastructure Assist with integration, checkout, acceptance, regression, and operational-readiness procedures Verify telemetry flow, network connectivity, communications, time synchronization, logging, storage, user access, remote connectivity, and Operator functionality Collect and organize logs, screenshots, test results, configuration data, and other objective evidence required for acceptance and troubleshooting Maintain inventories, equipment assignments, network diagrams, cable maps, build records, software and hardware versions, and deployment records Troubleshooting and Sustainment Assist with intermediate troubleshooting of ground system hardware, Linux services, networking, mission applications, data interfaces, telemetry, RF equipment, and Operator workstations Systematically isolate faults to equipment, service, interface, configuration, network path, power source, or external dependency Reproduce reported problems in integration or test environments when practical and document symptoms, actions, results, workarounds, and final resolution Coordinate complex software, automation, architectural, cybersecurity, or design issues with the responsible technical authority Perform preventive maintenance, spares management, lifecycle support, and readiness restoration for fielded systems Operational Readiness and Mission Support Assist with ground system readiness checks before simulations, tests, deployments, and live missions Verify availability and configuration of required hardware, software, networks, communications, documentation, tools, spares, and support equipment Provide ground system support during mission setup, checkout, shift turnover, live operations, maintenance, and recovery from outages Perform HAPS Operator or other assigned Mission Operations duties when qualified, current, and designated Support remote sites and distributed operations while maintaining escalation paths to centralized technical and operational authorities Standardization, Training, and Improvement Create and maintain installation instructions, configuration guides, checkout procedures, troubleshooting references, deployment checklists, and sustainment records Standardize labeling, cabling, equipment layouts, packing, inventories, readiness evidence, and field practices across sites Support scripted tests, automation, validation tooling, and data collection with the Ground Systems Engineer What We Are Looking For: Knowledge, Skills, and Abilities Advanced hands-on ability with Linux systems, Ethernet networking, IP addressing, managed switches, remote access, cabling, racks, field hardware, and systematic troubleshooting Ability to integrate and sustain mission-critical systems using approved designs, configuration baselines, and technical procedures Working knowledge of telemetry, RF communications, logging, data storage, time synchronization, operator workstations, and distributed-system dependencies Ability to distinguish authorized configuration work from changes requiring technical-authority or configuration-control approval Strong technical-writing and documentation skills for diagrams, build records, troubleshooting notes, checklists, and acceptance evidence Ability to work safely around electrical equipment, racks, antennas, power distribution, UPS systems, fiber, copper cabling, and field enclosures Ability to coordinate effectively across Mission Operations, Software, Enterprise IT, Safety, and external site personnel Ability to lead small integration and deployment efforts while remaining hands-on Strong attention to detail when handling safety-critical content, records, and controlled documents Ability to learn unfamiliar HAPS systems, mission software, communications systems, procedures, and operational concepts Required Qualifications: Four or more years of experience assembling, configuring, integrating, operating, maintaining, or troubleshooting technical systems in aviation, aerospace, telecommunications, field service, IT, defense, or mission-critical operations Demonstrated experience with Linux-based systems and command-line environments Working knowledge of Ethernet networking, IP addressing, cabling, switches, and connectivity troubleshooting Experience with Bash, Python, Git, containers, virtualization, infrastructure automation, or configuration-management tools Experience executing technical procedures, integration tests, acceptance checks, or system-readiness activities Experience maintaining configuration records, equipment inventories, diagrams, build records, or comparable technical documentation Ability to lift, move, install, and safely work around deployable technical equipment consistent with applicable workplace requirements Ability to travel and work nonstandard schedules during deployments, tests, and live missions Ability to work in a safety-focused and procedurally disciplined operational environment Preferred Qualifications: Associate or Bachelor's degree in Information Technology, electronics, networking, aviation technology, engineering technology, or a related field, or equivalent advanced hands-on experience Experience supporting ground control systems, UAV operations, aerospace testing, telemetry networks, or mission-control environments Familiarity with VLANs, firewalls, VPNs, managed switches, remote access, and cybersecurity-controlled environments Experience with RF communications, software-defined radios, antennas, telemetry, precision timing, or radio-network equipment Experience with equipment racks, power distribution, UPS systems, fiber, copper cabling, environmental controls, and deployable enclosures Prior military, aviation, telecommunications, field-service, or remote-site operations experience What We Offer: At Sceye . click apply for full job details
11/14/2026
Full time
Job Description Job Description Mission Operations Specialist - Ground Systems Status: Full Time, Exempt Location: Moriarty, NM Reports to: Senior Ground Systems Integrator Who Are We: Sceye is a high-growth technology company, building the next generation of instant communications, imaging, and remote sensing infrastructure through stratospheric platforms. Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18 - 21km). They can carry multiple telecommunications, imaging, and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages. Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies. At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you will contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence. About the Position: Sceye is seeking a Mission Operations Specialist - Ground Systems to deploy, integrate, configure, verify, operate, troubleshoot, and sustain mission-critical ground systems used for HAPS testing and global operations. The role provides primary technical depth in fielded ground system capability while maintaining secondary qualification in mission execution, test support, mission readiness, and operational surge activities. This is a junior, hands-on role spanning Linux-based computers, operator workstations, networks, mission applications, telemetry interfaces, RF equipment, data logging, time synchronization, storage, power, cabling, and deployable field hardware. The Specialist executes approved architectures and baselines, supports integration and readiness activities, and coordinates complex issues with the Senior Ground Systems Integrator, Ground Systems Engineer, Software, Enterprise IT, and Mission Operations. The role does not independently establish architecture or approve engineering design changes. What You Will Do: The Mission Operations Specialist - Ground Systems position will be a multi-functional role. We are looking for a positive, highly motivated professional with a strong work ethic, a collaborative and open-minded approach, and the humility and drive to work hard, continuously learn, and contribute beyond their primary area of expertise wherever the mission requires. Ground System Deployment and Integration Assist with assembly, configuration, integration, checkout, packing, deployment, installation, teardown, and redeployment of approved Ground Control Station configurations Integrate servers, Linux workstations, network devices, storage, RF and telemetry interfaces, Operator displays, communications equipment, power distribution, UPS equipment, cabling, and supporting field hardware Replicate approved ground system baselines for additional HAPS, missions, sites, training environments, and test configurations Configuration, Verification, and Acceptance Apply approved configurations to Linux systems, network devices, Operator stations, remote nodes, mission applications, and supporting infrastructure Assist with integration, checkout, acceptance, regression, and operational-readiness procedures Verify telemetry flow, network connectivity, communications, time synchronization, logging, storage, user access, remote connectivity, and Operator functionality Collect and organize logs, screenshots, test results, configuration data, and other objective evidence required for acceptance and troubleshooting Maintain inventories, equipment assignments, network diagrams, cable maps, build records, software and hardware versions, and deployment records Troubleshooting and Sustainment Assist with intermediate troubleshooting of ground system hardware, Linux services, networking, mission applications, data interfaces, telemetry, RF equipment, and Operator workstations Systematically isolate faults to equipment, service, interface, configuration, network path, power source, or external dependency Reproduce reported problems in integration or test environments when practical and document symptoms, actions, results, workarounds, and final resolution Coordinate complex software, automation, architectural, cybersecurity, or design issues with the responsible technical authority Perform preventive maintenance, spares management, lifecycle support, and readiness restoration for fielded systems Operational Readiness and Mission Support Assist with ground system readiness checks before simulations, tests, deployments, and live missions Verify availability and configuration of required hardware, software, networks, communications, documentation, tools, spares, and support equipment Provide ground system support during mission setup, checkout, shift turnover, live operations, maintenance, and recovery from outages Perform HAPS Operator or other assigned Mission Operations duties when qualified, current, and designated Support remote sites and distributed operations while maintaining escalation paths to centralized technical and operational authorities Standardization, Training, and Improvement Create and maintain installation instructions, configuration guides, checkout procedures, troubleshooting references, deployment checklists, and sustainment records Standardize labeling, cabling, equipment layouts, packing, inventories, readiness evidence, and field practices across sites Support scripted tests, automation, validation tooling, and data collection with the Ground Systems Engineer What We Are Looking For: Knowledge, Skills, and Abilities Advanced hands-on ability with Linux systems, Ethernet networking, IP addressing, managed switches, remote access, cabling, racks, field hardware, and systematic troubleshooting Ability to integrate and sustain mission-critical systems using approved designs, configuration baselines, and technical procedures Working knowledge of telemetry, RF communications, logging, data storage, time synchronization, operator workstations, and distributed-system dependencies Ability to distinguish authorized configuration work from changes requiring technical-authority or configuration-control approval Strong technical-writing and documentation skills for diagrams, build records, troubleshooting notes, checklists, and acceptance evidence Ability to work safely around electrical equipment, racks, antennas, power distribution, UPS systems, fiber, copper cabling, and field enclosures Ability to coordinate effectively across Mission Operations, Software, Enterprise IT, Safety, and external site personnel Ability to lead small integration and deployment efforts while remaining hands-on Strong attention to detail when handling safety-critical content, records, and controlled documents Ability to learn unfamiliar HAPS systems, mission software, communications systems, procedures, and operational concepts Required Qualifications: Four or more years of experience assembling, configuring, integrating, operating, maintaining, or troubleshooting technical systems in aviation, aerospace, telecommunications, field service, IT, defense, or mission-critical operations Demonstrated experience with Linux-based systems and command-line environments Working knowledge of Ethernet networking, IP addressing, cabling, switches, and connectivity troubleshooting Experience with Bash, Python, Git, containers, virtualization, infrastructure automation, or configuration-management tools Experience executing technical procedures, integration tests, acceptance checks, or system-readiness activities Experience maintaining configuration records, equipment inventories, diagrams, build records, or comparable technical documentation Ability to lift, move, install, and safely work around deployable technical equipment consistent with applicable workplace requirements Ability to travel and work nonstandard schedules during deployments, tests, and live missions Ability to work in a safety-focused and procedurally disciplined operational environment Preferred Qualifications: Associate or Bachelor's degree in Information Technology, electronics, networking, aviation technology, engineering technology, or a related field, or equivalent advanced hands-on experience Experience supporting ground control systems, UAV operations, aerospace testing, telemetry networks, or mission-control environments Familiarity with VLANs, firewalls, VPNs, managed switches, remote access, and cybersecurity-controlled environments Experience with RF communications, software-defined radios, antennas, telemetry, precision timing, or radio-network equipment Experience with equipment racks, power distribution, UPS systems, fiber, copper cabling, environmental controls, and deployable enclosures Prior military, aviation, telecommunications, field-service, or remote-site operations experience What We Offer: At Sceye . click apply for full job details
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As a member of the Global Sales AI & Innovation team, you'll be at the forefront of transforming how American Airlines drives revenue through artificial intelligence and advanced data technologies. Embedded within Sales Operations, this role focuses on building both the foundation and the solutions-designing and developing AI powered agents, establishing the business context and governance that enable them, and delivering intelligent analytics that directly enhance the performance of American's corporate and agency sales programs. You'll have the opportunity to innovate, experiment with emerging platforms, and help shape the future of sales intelligence at the world's largest airline. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Responsibilities include the following: 2 Design, build, and deploy AI agents and models on Databricks and Microsoft Copilot/Fabric, leveraging tools such as Genie Spaces, Agent Bricks, and LLM-based workflows to automate and enhance intelligence for Global Sales. Develop and maintain AI governance frameworks - including model documentation, performance monitoring, lineage tracking, and compliance standards - to ensure responsible and auditable use of AI across sales programs. Build and optimize data pipelines supporting AI/ML workloads within a medallion architecture on Azure Databricks (Delta Lake, Unity Catalog), with integration into Microsoft Fabric and OneLake for downstream consumption. Innovate on emerging Databricks and Microsoft Fabric capabilities as they are released, rapidly evaluating and prototyping features that can strengthen the team's technical foundation and revenue impact. Collaborate with business stakeholders in Global Sales to understand operational challenges and translate them into AI-driven solutions, communicating findings and recommendations clearly to both technical and non-technical audiences. Create AI-powered reporting and analytical models within Genie Spaces, Databricks Apps, and Power BI Direct Lake semantic models that empower sales leaders to understand program performance, identify opportunities, and act with confidence. Champion continuous improvement by staying current with advancements in generative AI, agentic frameworks, and large language model tooling, bringing a mindset of experimentation and responsible innovation to the team. Support the full AI development lifecycle - from ideation and prototyping through production deployment and ongoing monitoring - in close partnership with data engineering and Sales IT teams. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Data Science, Information Systems, Engineering, or similar degree; or equivalent experience/training 3 year in similar role Preferred Qualifications- Education & Prior Job Experience MIS, MBA/MS with a focus on data science, AI, or business technology 5 years of development experience, preferably in an airline or travel industry function 3+ years of experience with Databricks, including Delta Lake, Unity Catalog, or MLflow Experience building or operationalizing AI agents or LLM-based applications Experience with Microsoft Fabric, Copilot Studio, and Power BI Skills, Licenses & Certifications Databricks: Delta Lake, Unity Catalog, Databricks Workflows, Genie Spaces, Apps Cloud & Data Platforms: Azure, Microsoft Fabric, OneLake AI/ML: Python (PySpark, pandas), agentic frameworks, MLflow, model governance and monitoring practices Analytics & Reporting: Microsoft Power BI (Direct Lake, DAX, TMDL), SQL Soft Skills: Strong written and verbal communication; ability to translate complex AI concepts for business audiences; comfort operating in a fast-paced, high-ambiguity environment Certifications (a plus): Databricks Certified Associate or Professional; Microsoft Azure or Fabric certification What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/14/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As a member of the Global Sales AI & Innovation team, you'll be at the forefront of transforming how American Airlines drives revenue through artificial intelligence and advanced data technologies. Embedded within Sales Operations, this role focuses on building both the foundation and the solutions-designing and developing AI powered agents, establishing the business context and governance that enable them, and delivering intelligent analytics that directly enhance the performance of American's corporate and agency sales programs. You'll have the opportunity to innovate, experiment with emerging platforms, and help shape the future of sales intelligence at the world's largest airline. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Responsibilities include the following: 2 Design, build, and deploy AI agents and models on Databricks and Microsoft Copilot/Fabric, leveraging tools such as Genie Spaces, Agent Bricks, and LLM-based workflows to automate and enhance intelligence for Global Sales. Develop and maintain AI governance frameworks - including model documentation, performance monitoring, lineage tracking, and compliance standards - to ensure responsible and auditable use of AI across sales programs. Build and optimize data pipelines supporting AI/ML workloads within a medallion architecture on Azure Databricks (Delta Lake, Unity Catalog), with integration into Microsoft Fabric and OneLake for downstream consumption. Innovate on emerging Databricks and Microsoft Fabric capabilities as they are released, rapidly evaluating and prototyping features that can strengthen the team's technical foundation and revenue impact. Collaborate with business stakeholders in Global Sales to understand operational challenges and translate them into AI-driven solutions, communicating findings and recommendations clearly to both technical and non-technical audiences. Create AI-powered reporting and analytical models within Genie Spaces, Databricks Apps, and Power BI Direct Lake semantic models that empower sales leaders to understand program performance, identify opportunities, and act with confidence. Champion continuous improvement by staying current with advancements in generative AI, agentic frameworks, and large language model tooling, bringing a mindset of experimentation and responsible innovation to the team. Support the full AI development lifecycle - from ideation and prototyping through production deployment and ongoing monitoring - in close partnership with data engineering and Sales IT teams. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Data Science, Information Systems, Engineering, or similar degree; or equivalent experience/training 3 year in similar role Preferred Qualifications- Education & Prior Job Experience MIS, MBA/MS with a focus on data science, AI, or business technology 5 years of development experience, preferably in an airline or travel industry function 3+ years of experience with Databricks, including Delta Lake, Unity Catalog, or MLflow Experience building or operationalizing AI agents or LLM-based applications Experience with Microsoft Fabric, Copilot Studio, and Power BI Skills, Licenses & Certifications Databricks: Delta Lake, Unity Catalog, Databricks Workflows, Genie Spaces, Apps Cloud & Data Platforms: Azure, Microsoft Fabric, OneLake AI/ML: Python (PySpark, pandas), agentic frameworks, MLflow, model governance and monitoring practices Analytics & Reporting: Microsoft Power BI (Direct Lake, DAX, TMDL), SQL Soft Skills: Strong written and verbal communication; ability to translate complex AI concepts for business audiences; comfort operating in a fast-paced, high-ambiguity environment Certifications (a plus): Databricks Certified Associate or Professional; Microsoft Azure or Fabric certification What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job Description SUMMARY We are seeking a highly experienced Applications Engineer to join a leading industrial equipment manufacturer specializing in custom-engineered systems and vacuum impregnation technology. This position is responsible for developing innovative technical solutions for industrial equipment concepts and preparing accurate technical and commercial proposals that align with customer specifications, production requirements, and business objectives. This individual will work closely with customers, Sales, Engineering, Manufacturing, and other internal teams to translate complex technical requirements into practical, reliable, and cost-effective engineered solutions. Success in this role requires exceptional technical expertise, strong mechanical aptitude, commercial awareness, and the ability to manage projects from initial concept through engineering handoff and implementation. RESPONSIBILITIES Collaborate directly with customers to evaluate manufacturing processes, understand production challenges, and define technical equipment and system requirements. Review customer specifications, requests for quotation (RFQs), engineering drawings, and technical documentation to develop customized equipment solutions. Develop innovative system concepts and custom industrial equipment designs that meet customer performance, quality, operational, and budgetary requirements. Prepare comprehensive technical proposals, project scopes, equipment quotations, and detailed cost estimates for custom-engineered systems. Estimate project costs utilizing historical data, comparable equipment designs, vendor quotations, fabrication requirements, and engineering judgment. Identify technical risks, project assumptions, exclusions, and potential scope gaps throughout the quotation and proposal development process. Partner with Engineering, Manufacturing, Purchasing, Controls, and Service teams to validate equipment concepts, technical feasibility, project requirements, and associated costs. Provide technical expertise and support to Sales during customer meetings, technical presentations, proposal reviews, and commercial discussions. Develop application-specific tooling concepts, including baskets, fixtures, material handling equipment, leak-testing fixtures, and specialized production tooling. Manage smaller-scale engineering projects, including tooling and fixture development, from initial concept through successful completion. Coordinate comprehensive technical and commercial handoffs of awarded projects to Engineering, ensuring alignment on scope, specifications, budgets, and customer expectations. Maintain accurate project costing, quotations, and technical documentation throughout the proposal and project development process. Support project engineering activities by serving as a technical resource and maintaining customer engagement throughout project execution. Apply sound engineering judgment to deliver reliable, efficient, and cost-effective equipment solutions that meet or exceed customer expectations. REQUIREMENTS Bachelor's or associate degree in Engineering or a related technical discipline; equivalent relevant industry experience will be considered. 8-15+ years of experience in custom industrial equipment, applications engineering, equipment estimating, engineering, or related industrial equipment environments. Extensive knowledge of custom-engineered industrial machinery, equipment design, and system-level engineering principles. Demonstrated success developing, designing, estimating, and quoting custom industrial equipment and engineered systems. Proven ability to translate customer process requirements, manufacturing specifications, and operational challenges into practical equipment solutions. Strong mechanical aptitude with working knowledge of electrical systems, industrial controls, and automated equipment. Experience developing detailed equipment estimates involving fabrication, purchased components, engineering labor, installation, and related project costs. Proficiency in reviewing and interpreting engineering drawings, technical specifications, RFQs, and customer requirements. Experience utilizing CAD software for equipment design, technical evaluation, or engineering applications. Strong understanding of project scope development, technical risk assessment, cost evaluation, and engineering feasibility. Excellent customer-facing communication, technical presentation, and interpersonal skills. Ability to collaborate effectively with multidisciplinary engineering, manufacturing, purchasing, controls, service, and sales teams. Familiarity with industrial thermal systems, vacuum technology, fluid-handling equipment, and automated manufacturing systems a must. Ability to travel approximately 15-20%
11/14/2026
Full time
Job Description SUMMARY We are seeking a highly experienced Applications Engineer to join a leading industrial equipment manufacturer specializing in custom-engineered systems and vacuum impregnation technology. This position is responsible for developing innovative technical solutions for industrial equipment concepts and preparing accurate technical and commercial proposals that align with customer specifications, production requirements, and business objectives. This individual will work closely with customers, Sales, Engineering, Manufacturing, and other internal teams to translate complex technical requirements into practical, reliable, and cost-effective engineered solutions. Success in this role requires exceptional technical expertise, strong mechanical aptitude, commercial awareness, and the ability to manage projects from initial concept through engineering handoff and implementation. RESPONSIBILITIES Collaborate directly with customers to evaluate manufacturing processes, understand production challenges, and define technical equipment and system requirements. Review customer specifications, requests for quotation (RFQs), engineering drawings, and technical documentation to develop customized equipment solutions. Develop innovative system concepts and custom industrial equipment designs that meet customer performance, quality, operational, and budgetary requirements. Prepare comprehensive technical proposals, project scopes, equipment quotations, and detailed cost estimates for custom-engineered systems. Estimate project costs utilizing historical data, comparable equipment designs, vendor quotations, fabrication requirements, and engineering judgment. Identify technical risks, project assumptions, exclusions, and potential scope gaps throughout the quotation and proposal development process. Partner with Engineering, Manufacturing, Purchasing, Controls, and Service teams to validate equipment concepts, technical feasibility, project requirements, and associated costs. Provide technical expertise and support to Sales during customer meetings, technical presentations, proposal reviews, and commercial discussions. Develop application-specific tooling concepts, including baskets, fixtures, material handling equipment, leak-testing fixtures, and specialized production tooling. Manage smaller-scale engineering projects, including tooling and fixture development, from initial concept through successful completion. Coordinate comprehensive technical and commercial handoffs of awarded projects to Engineering, ensuring alignment on scope, specifications, budgets, and customer expectations. Maintain accurate project costing, quotations, and technical documentation throughout the proposal and project development process. Support project engineering activities by serving as a technical resource and maintaining customer engagement throughout project execution. Apply sound engineering judgment to deliver reliable, efficient, and cost-effective equipment solutions that meet or exceed customer expectations. REQUIREMENTS Bachelor's or associate degree in Engineering or a related technical discipline; equivalent relevant industry experience will be considered. 8-15+ years of experience in custom industrial equipment, applications engineering, equipment estimating, engineering, or related industrial equipment environments. Extensive knowledge of custom-engineered industrial machinery, equipment design, and system-level engineering principles. Demonstrated success developing, designing, estimating, and quoting custom industrial equipment and engineered systems. Proven ability to translate customer process requirements, manufacturing specifications, and operational challenges into practical equipment solutions. Strong mechanical aptitude with working knowledge of electrical systems, industrial controls, and automated equipment. Experience developing detailed equipment estimates involving fabrication, purchased components, engineering labor, installation, and related project costs. Proficiency in reviewing and interpreting engineering drawings, technical specifications, RFQs, and customer requirements. Experience utilizing CAD software for equipment design, technical evaluation, or engineering applications. Strong understanding of project scope development, technical risk assessment, cost evaluation, and engineering feasibility. Excellent customer-facing communication, technical presentation, and interpersonal skills. Ability to collaborate effectively with multidisciplinary engineering, manufacturing, purchasing, controls, service, and sales teams. Familiarity with industrial thermal systems, vacuum technology, fluid-handling equipment, and automated manufacturing systems a must. Ability to travel approximately 15-20%
Job Description About the Role Pinnacle Partners is recruiting for an Applications Engineer in Indianapolis, IN. This position focuses on CNC programming, machining applications, customer demonstrations, and developing turnkey manufacturing solutions. The ideal candidate will have strong CAM and CNC programming experience, with the ability to take a customer part from an engineering print or 3D model through programming, tooling selection, machining, and final demonstration. This role combines hands-on machining expertise, technical problem-solving, and customer interaction, with travel generally capped at 25%. Key Responsibilities: Develop accurate machining and cycle-time estimates using customer prints, engineering drawings, and 3D solid models. Program CNC machines to manufacture customer parts using appropriate speeds, feeds, tooling, and toolpaths. Develop and execute cutting demonstrations showcasing 3-axis and 5-axis milling machines and multi-axis lathes. Determine appropriate tooling, workholding, fixturing, and machining processes for customer applications. Evaluate customer parts and manufacturing requirements to determine the best machine, tooling, and processes to produce the finished product. Run customer parts on CNC machines to validate programming, machining processes, and production capabilities. Conduct time studies to evaluate machining cycle times, efficiency, and overall machine performance. Travel to customer facilities to perform machine runoffs and demonstrate the equipment's ability to manufacture customer parts. Conduct CNC milling and lathe programming and operator training classes. Provide technical support to customers, including troubleshooting machining applications, programming challenges, and operational issues. Collaborate with Sales, Marketing, and Service teams to provide technical expertise and application solutions. Assist customers with optimizing machining processes, improving efficiency, and maximizing machine performance. Utilize advanced knowledge of CNC machine functionality, performance, programming, and operating systems to support customer applications. Manage multiple customer projects simultaneously, coordinating programming, machining demonstrations, and project timelines. Support turnkey projects by developing complete manufacturing solutions, from initial part review and machine selection through programming and final implementation. Provide technical expertise throughout the pre-sales process to demonstrate how CNC equipment can meet customer manufacturing requirements. Requirements: Two- or four-year degree in a STEM-related field, preferably related to machining, manufacturing, or engineering, or equivalent relevant experience. Strong CNC programming experience, including the ability to take an engineering print or 3D model and program a machine to manufacture the part. Extensive CAM experience with the ability to independently develop programs and toolpaths. Understanding of machining speeds, feeds, tooling selection, workholding, and fixturing requirements. Experience with 3D modeling or 2D/3D CAM programming. Proven CNC machine tool applications experience involving 3-axis and 5-axis mills and multi-axis lathes. Ability to perform machining time studies and evaluate cycle times. Strong mechanical aptitude and technical problem-solving skills. Ability to evaluate customer manufacturing requirements and develop practical machining solutions. Strong communication and customer service skills, with the ability to explain technical processes and demonstrate equipment capabilities. Ability to manage multiple projects and competing priorities. Willingness and ability to travel up to 25%, including occasional overnight stays. Ability to work independently at customer facilities and conduct machine demonstrations and runoffs. Preferred: Experience developing turnkey manufacturing solutions, from initial part review and machine selection through programming and final production. Previous experience selecting tooling, workholding, and fixturing for complex machining applications. Background as a CNC Operator, CNC Setup Technician, CNC Programmer, or Applications Engineer. Experience providing technical support directly to end-user customers. Familiarity with multiple CAM software platforms. Experience with 3D printing, additive manufacturing, or other engineering-related hobbies and projects. Strong interest in machining, manufacturing technology, and hands-on technical problem-solving. Bilingual in Spanish. Experience supporting customer applications involving complex parts and machining requirements. Benefits Overview: Annual base salary ranging from approximately $60,000-$90,000. Annual bonus potential. Comprehensive benefits package. Additional week of time off typically built into the holiday schedule due to the Christmas/New Year's shutdown. Limited travel, generally capped at 25%, with efforts to keep employees home on weekends. Shared company vehicle, company credit card, and travel expense reimbursement through Concur for applicable travel. Travel time is paid. Standard first-shift schedule, generally 7:00 AM-4:00 PM or 8:00 AM-5:00 PM. On-the-job training and development alongside an experienced applications engineering team. Collaborative corporate office environment featuring an onsite gym and open-concept workspace. Opportunity to work with advanced CNC machine tools and a variety of complex customer machining applications. Opportunity to develop complete manufacturing solutions and directly influence customer productivity and manufacturing capabilities. Explore More Engineering Opportunities This role falls within our Engineering/Manufacturing division , where we specialize in placing professionals in areas such as: Quality Engineering and Quality Assurance Mechanical/Electrical Engineering Manufacturing/Process Engineering CNC Machining and Programming Field Service Engineering Technical Support and Parts Management Controls and Automation Engineering Project Engineering Operations / Plant Engineering Explore additional Engineering roles and learn more about how we support Engineering professionals: Find Jobs or Manufacturing & Engineering Opportunities Not the right fit? We're hiring across multiple divisions, including: Human Resources Administrative & Customer Service Information Technology Accounting & Finance
11/14/2026
Full time
Job Description About the Role Pinnacle Partners is recruiting for an Applications Engineer in Indianapolis, IN. This position focuses on CNC programming, machining applications, customer demonstrations, and developing turnkey manufacturing solutions. The ideal candidate will have strong CAM and CNC programming experience, with the ability to take a customer part from an engineering print or 3D model through programming, tooling selection, machining, and final demonstration. This role combines hands-on machining expertise, technical problem-solving, and customer interaction, with travel generally capped at 25%. Key Responsibilities: Develop accurate machining and cycle-time estimates using customer prints, engineering drawings, and 3D solid models. Program CNC machines to manufacture customer parts using appropriate speeds, feeds, tooling, and toolpaths. Develop and execute cutting demonstrations showcasing 3-axis and 5-axis milling machines and multi-axis lathes. Determine appropriate tooling, workholding, fixturing, and machining processes for customer applications. Evaluate customer parts and manufacturing requirements to determine the best machine, tooling, and processes to produce the finished product. Run customer parts on CNC machines to validate programming, machining processes, and production capabilities. Conduct time studies to evaluate machining cycle times, efficiency, and overall machine performance. Travel to customer facilities to perform machine runoffs and demonstrate the equipment's ability to manufacture customer parts. Conduct CNC milling and lathe programming and operator training classes. Provide technical support to customers, including troubleshooting machining applications, programming challenges, and operational issues. Collaborate with Sales, Marketing, and Service teams to provide technical expertise and application solutions. Assist customers with optimizing machining processes, improving efficiency, and maximizing machine performance. Utilize advanced knowledge of CNC machine functionality, performance, programming, and operating systems to support customer applications. Manage multiple customer projects simultaneously, coordinating programming, machining demonstrations, and project timelines. Support turnkey projects by developing complete manufacturing solutions, from initial part review and machine selection through programming and final implementation. Provide technical expertise throughout the pre-sales process to demonstrate how CNC equipment can meet customer manufacturing requirements. Requirements: Two- or four-year degree in a STEM-related field, preferably related to machining, manufacturing, or engineering, or equivalent relevant experience. Strong CNC programming experience, including the ability to take an engineering print or 3D model and program a machine to manufacture the part. Extensive CAM experience with the ability to independently develop programs and toolpaths. Understanding of machining speeds, feeds, tooling selection, workholding, and fixturing requirements. Experience with 3D modeling or 2D/3D CAM programming. Proven CNC machine tool applications experience involving 3-axis and 5-axis mills and multi-axis lathes. Ability to perform machining time studies and evaluate cycle times. Strong mechanical aptitude and technical problem-solving skills. Ability to evaluate customer manufacturing requirements and develop practical machining solutions. Strong communication and customer service skills, with the ability to explain technical processes and demonstrate equipment capabilities. Ability to manage multiple projects and competing priorities. Willingness and ability to travel up to 25%, including occasional overnight stays. Ability to work independently at customer facilities and conduct machine demonstrations and runoffs. Preferred: Experience developing turnkey manufacturing solutions, from initial part review and machine selection through programming and final production. Previous experience selecting tooling, workholding, and fixturing for complex machining applications. Background as a CNC Operator, CNC Setup Technician, CNC Programmer, or Applications Engineer. Experience providing technical support directly to end-user customers. Familiarity with multiple CAM software platforms. Experience with 3D printing, additive manufacturing, or other engineering-related hobbies and projects. Strong interest in machining, manufacturing technology, and hands-on technical problem-solving. Bilingual in Spanish. Experience supporting customer applications involving complex parts and machining requirements. Benefits Overview: Annual base salary ranging from approximately $60,000-$90,000. Annual bonus potential. Comprehensive benefits package. Additional week of time off typically built into the holiday schedule due to the Christmas/New Year's shutdown. Limited travel, generally capped at 25%, with efforts to keep employees home on weekends. Shared company vehicle, company credit card, and travel expense reimbursement through Concur for applicable travel. Travel time is paid. Standard first-shift schedule, generally 7:00 AM-4:00 PM or 8:00 AM-5:00 PM. On-the-job training and development alongside an experienced applications engineering team. Collaborative corporate office environment featuring an onsite gym and open-concept workspace. Opportunity to work with advanced CNC machine tools and a variety of complex customer machining applications. Opportunity to develop complete manufacturing solutions and directly influence customer productivity and manufacturing capabilities. Explore More Engineering Opportunities This role falls within our Engineering/Manufacturing division , where we specialize in placing professionals in areas such as: Quality Engineering and Quality Assurance Mechanical/Electrical Engineering Manufacturing/Process Engineering CNC Machining and Programming Field Service Engineering Technical Support and Parts Management Controls and Automation Engineering Project Engineering Operations / Plant Engineering Explore additional Engineering roles and learn more about how we support Engineering professionals: Find Jobs or Manufacturing & Engineering Opportunities Not the right fit? We're hiring across multiple divisions, including: Human Resources Administrative & Customer Service Information Technology Accounting & Finance
Job Description We're partnered with a quantitative trading firm looking to add a Trade Support Engineer to its Chicago team, supporting the technology and operational infrastructure behind live trading. This role sits directly on the front line of the trading environment, working closely with traders, developers, quantitative researchers, exchanges, and clearing partners. You'll be responsible for keeping production systems stable throughout the trading day, troubleshooting issues in real time, and improving operational processes through scripting and automation. What you'll do: • Monitor live production trading systems and respond to alerts and incidents in real time • Troubleshoot and resolve application, operating system, trade, and position issues • Deploy and configure proprietary and third-party trading applications • Investigate trade breaks and support trade capture, reconciliation, and other operational workflows • Build scripts and tooling to automate repetitive support and troubleshooting processes • Work closely with traders, developers, exchanges, clearing firms, and technology vendors • Support risk and compliance reporting and occasionally assist with trading desk or datacenter hardware • Participate in early market-open coverage and an on-call / weekend rotation Looking for: • 2+ years of experience in Trade Support, Trade Operations, Application Support, or a similar production-support environment • Strong hands-on experience with both Linux and Windows systems • Scripting experience with Python, PowerShell, Bash, or similar technologies • Working knowledge of SQL for investigating trade, position, and reference data • Strong troubleshooting skills across applications and operating systems • Ability to diagnose and resolve production issues calmly in time-sensitive environments • Strong communication skills and experience working across technical and business teams • Ability to work on-site in Chicago and participate in early-hours and on-call coverage • Unrestricted U.S. work authorization without current or future sponsorship requirements
11/14/2026
Full time
Job Description We're partnered with a quantitative trading firm looking to add a Trade Support Engineer to its Chicago team, supporting the technology and operational infrastructure behind live trading. This role sits directly on the front line of the trading environment, working closely with traders, developers, quantitative researchers, exchanges, and clearing partners. You'll be responsible for keeping production systems stable throughout the trading day, troubleshooting issues in real time, and improving operational processes through scripting and automation. What you'll do: • Monitor live production trading systems and respond to alerts and incidents in real time • Troubleshoot and resolve application, operating system, trade, and position issues • Deploy and configure proprietary and third-party trading applications • Investigate trade breaks and support trade capture, reconciliation, and other operational workflows • Build scripts and tooling to automate repetitive support and troubleshooting processes • Work closely with traders, developers, exchanges, clearing firms, and technology vendors • Support risk and compliance reporting and occasionally assist with trading desk or datacenter hardware • Participate in early market-open coverage and an on-call / weekend rotation Looking for: • 2+ years of experience in Trade Support, Trade Operations, Application Support, or a similar production-support environment • Strong hands-on experience with both Linux and Windows systems • Scripting experience with Python, PowerShell, Bash, or similar technologies • Working knowledge of SQL for investigating trade, position, and reference data • Strong troubleshooting skills across applications and operating systems • Ability to diagnose and resolve production issues calmly in time-sensitive environments • Strong communication skills and experience working across technical and business teams • Ability to work on-site in Chicago and participate in early-hours and on-call coverage • Unrestricted U.S. work authorization without current or future sponsorship requirements
Job Description Location: Milwaukee, WI Duration: 6 months (12/01/2026-5/31/2027), possible extensions Hours: 40 hours/week; 8am-5pm M-F Pay Rate: $64-74/hour (W2), $73-83/hour (1099) Position Overview Our client is seeking a Senior Platform Engineer to support the enterprise developer platforms that engineering teams rely on every day. This role is focused on operating, supporting, and improving internal platforms that enable secure and efficient software delivery across the organization. The ideal candidate brings a strong systems and platform mindset, experience supporting enterprise tooling, and comfort working in hybrid environments that include both modern and legacy on-prem systems. This is a hands-on role for someone who enjoys troubleshooting platform issues, supporting internal users, improving reliability, and helping keep critical development services running smoothly. Key Responsibilities Run, support, and improve enterprise CI/CD and developer platform services alongside other engineers on the team. Support platforms used by internal engineering teams, including Enterprise GitLab, enterprise JFrog, Ansible Tower, on-prem Nexus, and GitLab runners. Own well-scoped operational deliverables and escalate blockers early when needed. Support platform reliability, availability, access, and day-to-day operational needs. Troubleshoot production issues, participate in an on-call rotation, and complete remediation follow-ups as needed. Apply security, compliance, and observability practices to the work you deliver. Build and maintain metrics and dashboards that help track platform health and support operational decision-making. Participate in code and design reviews, document your work clearly, and help internal teams adopt platform capabilities. Contribute to automation and process improvements that make platform operations more efficient and reliable. Support infrastructure related to repository management, artifact storage, and artifact retrieval workflows. Work closely with platform engineers and partner teams to keep systems stable and effective. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. 3+ years of hands-on experience in platform engineering, systems engineering, DevOps, or CI/CD support. Experience working on a platform that supports other engineers or internal users. Strong understanding of on-prem and hybrid environments. Working knowledge of CI/CD pipeline tooling and automation, such as GitLab CI, GitHub Actions, or Jenkins. Experience supporting enterprise developer tooling and platform services. Curiosity for understanding how complex systems interact and a willingness to dig into unfamiliar technical problems. Clear communication skills, including the ability to explain your work to teammates and partner teams. Ability to contribute to design documentation and participate in technical reviews. Commitment to continuous learning and operational excellence. Familiarity with enterprise developer tooling such as GitLab, JFrog, Nexus, Ansible Tower, or GitLab runners. Experience building, storing, and supporting software artifacts such as binaries, packages, and containers. Experience monitoring platform health and performance using tools such as Dynatrace, Prometheus, Grafana, or ELK. Experience creating and maintaining infrastructure as code using tools such as Terraform or CloudFormation. Experience troubleshooting Linux-based operating systems, networking, and applications. Experience supporting disaster recovery exercises and executing documented recovery procedures. Experience contributing to resilient, scalable, and cost-conscious systems. Experience developing services and scripts that interact with APIs using languages like Python or TypeScript. Cloud, platform, or security-related certifications are a plus. Eligibility Requirements: Must be legally authorized to work in the United States. No third parties. As a contractor, you may be required to complete a background check. Compensation: The anticipated pay range for this opportunity is $64.00 to $74.00 per hour for W2 contractors and $73.00 to $83.00 per hour for 1099 contractors. The range represents a good-faith estimate of the compensation reasonably expected to be offered for this opportunity at the time of posting. Actual compensation will be determined based on experience, qualifications, engagement structure, and applicable work location within the range provided. Benefits: Depending on employment classification and eligibility, benefits may include medical, dental, and vision coverage; health savings accounts; life and AD&D insurance; long-term disability coverage; commuter benefits; and retirement plans. Eligibility for specific benefits is subject to the terms and conditions of the applicable benefit plans. Additional Compensation: This position is not eligible for additional compensation.
11/14/2026
Full time
Job Description Location: Milwaukee, WI Duration: 6 months (12/01/2026-5/31/2027), possible extensions Hours: 40 hours/week; 8am-5pm M-F Pay Rate: $64-74/hour (W2), $73-83/hour (1099) Position Overview Our client is seeking a Senior Platform Engineer to support the enterprise developer platforms that engineering teams rely on every day. This role is focused on operating, supporting, and improving internal platforms that enable secure and efficient software delivery across the organization. The ideal candidate brings a strong systems and platform mindset, experience supporting enterprise tooling, and comfort working in hybrid environments that include both modern and legacy on-prem systems. This is a hands-on role for someone who enjoys troubleshooting platform issues, supporting internal users, improving reliability, and helping keep critical development services running smoothly. Key Responsibilities Run, support, and improve enterprise CI/CD and developer platform services alongside other engineers on the team. Support platforms used by internal engineering teams, including Enterprise GitLab, enterprise JFrog, Ansible Tower, on-prem Nexus, and GitLab runners. Own well-scoped operational deliverables and escalate blockers early when needed. Support platform reliability, availability, access, and day-to-day operational needs. Troubleshoot production issues, participate in an on-call rotation, and complete remediation follow-ups as needed. Apply security, compliance, and observability practices to the work you deliver. Build and maintain metrics and dashboards that help track platform health and support operational decision-making. Participate in code and design reviews, document your work clearly, and help internal teams adopt platform capabilities. Contribute to automation and process improvements that make platform operations more efficient and reliable. Support infrastructure related to repository management, artifact storage, and artifact retrieval workflows. Work closely with platform engineers and partner teams to keep systems stable and effective. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. 3+ years of hands-on experience in platform engineering, systems engineering, DevOps, or CI/CD support. Experience working on a platform that supports other engineers or internal users. Strong understanding of on-prem and hybrid environments. Working knowledge of CI/CD pipeline tooling and automation, such as GitLab CI, GitHub Actions, or Jenkins. Experience supporting enterprise developer tooling and platform services. Curiosity for understanding how complex systems interact and a willingness to dig into unfamiliar technical problems. Clear communication skills, including the ability to explain your work to teammates and partner teams. Ability to contribute to design documentation and participate in technical reviews. Commitment to continuous learning and operational excellence. Familiarity with enterprise developer tooling such as GitLab, JFrog, Nexus, Ansible Tower, or GitLab runners. Experience building, storing, and supporting software artifacts such as binaries, packages, and containers. Experience monitoring platform health and performance using tools such as Dynatrace, Prometheus, Grafana, or ELK. Experience creating and maintaining infrastructure as code using tools such as Terraform or CloudFormation. Experience troubleshooting Linux-based operating systems, networking, and applications. Experience supporting disaster recovery exercises and executing documented recovery procedures. Experience contributing to resilient, scalable, and cost-conscious systems. Experience developing services and scripts that interact with APIs using languages like Python or TypeScript. Cloud, platform, or security-related certifications are a plus. Eligibility Requirements: Must be legally authorized to work in the United States. No third parties. As a contractor, you may be required to complete a background check. Compensation: The anticipated pay range for this opportunity is $64.00 to $74.00 per hour for W2 contractors and $73.00 to $83.00 per hour for 1099 contractors. The range represents a good-faith estimate of the compensation reasonably expected to be offered for this opportunity at the time of posting. Actual compensation will be determined based on experience, qualifications, engagement structure, and applicable work location within the range provided. Benefits: Depending on employment classification and eligibility, benefits may include medical, dental, and vision coverage; health savings accounts; life and AD&D insurance; long-term disability coverage; commuter benefits; and retirement plans. Eligibility for specific benefits is subject to the terms and conditions of the applicable benefit plans. Additional Compensation: This position is not eligible for additional compensation.
Job Description Our client's Platform Engineering group speeds up how technology teams work by offering self-service tools, services, documentation and support. The team designs, builds and runs the core runtime platforms that the firm's software relies on, with the goal of simplifying development, creating a consistent technical foundation across regions, and giving engineers what they need to innovate quickly. This global team sits between application development and production operations, removing friction so engineering teams can deliver smoothly and keep moving forward. What You'll Do: Build, run and maintain highly available, high-performance on-prem Kubernetes clusters Deploy and manage containerized applications on Kubernetes with in-house tooling Work with engineering teams to design and build CI/CD pipelines for on-prem environments Monitor, debug and tune clusters for reliability and performance Apply on-prem Kubernetes security best practices, including RBAC, network policies and secrets management Write automation to manage infrastructure and keep environments consistent across clusters Optimize the storage and networking setups that support the clusters Own cluster upgrades, backups and disaster recovery planning Keep up with Kubernetes and on-prem infrastructure developments and bring useful updates into the environment What You'll Bring: 3+ years of hands-on Kubernetes experience, ideally on-prem Deep knowledge of containerization and orchestration Experience designing and building CI/CD pipelines Strong grasp of Kubernetes security best practices Solid scripting skills (e.g. Bash, Python) Working knowledge of Kubernetes storage and networking Able to diagnose and fix complex problems quickly Strong communication and collaboration skills
11/14/2026
Full time
Job Description Our client's Platform Engineering group speeds up how technology teams work by offering self-service tools, services, documentation and support. The team designs, builds and runs the core runtime platforms that the firm's software relies on, with the goal of simplifying development, creating a consistent technical foundation across regions, and giving engineers what they need to innovate quickly. This global team sits between application development and production operations, removing friction so engineering teams can deliver smoothly and keep moving forward. What You'll Do: Build, run and maintain highly available, high-performance on-prem Kubernetes clusters Deploy and manage containerized applications on Kubernetes with in-house tooling Work with engineering teams to design and build CI/CD pipelines for on-prem environments Monitor, debug and tune clusters for reliability and performance Apply on-prem Kubernetes security best practices, including RBAC, network policies and secrets management Write automation to manage infrastructure and keep environments consistent across clusters Optimize the storage and networking setups that support the clusters Own cluster upgrades, backups and disaster recovery planning Keep up with Kubernetes and on-prem infrastructure developments and bring useful updates into the environment What You'll Bring: 3+ years of hands-on Kubernetes experience, ideally on-prem Deep knowledge of containerization and orchestration Experience designing and building CI/CD pipelines Strong grasp of Kubernetes security best practices Solid scripting skills (e.g. Bash, Python) Working knowledge of Kubernetes storage and networking Able to diagnose and fix complex problems quickly Strong communication and collaboration skills
Job Description Position Overview: We are seeking an experienced Senior Cloud Automation Engineer to support a large-scale enterprise cloud transformation initiative. The organization currently operates a significant on-premises VMware infrastructure and is looking to migrate substantial workloads to the cloud while developing new cloud-native capabilities. The ideal candidate will have strong experience in infrastructure automation, Infrastructure as Code (IaC), GitOps methodologies, and cloud engineering. This individual will play a key role in automating infrastructure provisioning, supporting virtual machine migrations, and enabling the organization's broader cloud adoption strategy across internal business systems, back-office applications, and customer-facing solutions. Key Responsibilities: Design, develop, and maintain infrastructure automation solutions using Terraform, Ansible, and GitOps practices . Support the migration of existing on-premises VMware virtual machines and enterprise workloads into cloud environments. Develop Infrastructure as Code (IaC) solutions to automate cloud infrastructure provisioning, configuration, and lifecycle management. Establish and maintain GitOps workflows and CI/CD pipelines to support consistent, repeatable infrastructure deployments. Collaborate with infrastructure, networking, security, and application teams to assess workload readiness and execute cloud migration strategies. Support the deployment of new cloud-native applications and infrastructure for internal operations, back-office systems, and customer-facing services. Automate configuration management, deployment, monitoring, and operational tasks across hybrid cloud environments. Implement infrastructure standards and automation best practices to improve scalability, reliability, security, and operational efficiency. Assist with cloud environment optimization, including resource management, performance monitoring, and cost efficiency. Identify opportunities to leverage AI-enabled tools and emerging technologies to improve infrastructure automation and operational efficiency. Develop technical documentation, reusable automation modules, and standardized deployment processes. Required Qualifications: 5+ years of experience in infrastructure engineering, cloud engineering, DevOps, or infrastructure automation. Strong hands-on experience with Terraform for Infrastructure as Code. Strong experience with Ansible for configuration management and automated deployment. Experience implementing GitOps workflows using Git-based repositories and CI/CD tooling. Experience managing and supporting on-premises VMware vSphere / ESXi environments. Demonstrated experience migrating virtual machines, applications, or infrastructure workloads from on-premises environments to public cloud platforms. Hands-on experience with at least one major cloud provider, preferably Microsoft Azure or AWS. Proficiency with scripting languages such as Python, PowerShell, or Bash. Understanding of cloud networking, identity and access management, security, storage, and infrastructure monitoring. Experience supporting hybrid infrastructure environments and enterprise cloud adoption initiatives. Strong troubleshooting, analytical, documentation, and cross-functional communication skills. Preferred Qualifications: Experience with Microsoft Azure, including Azure Virtual Machines, Azure Migrate, Azure DevOps, and Azure infrastructure services. Experience with AWS and/or multicloud environments. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with GitHub Actions, GitLab CI/CD, or Azure DevOps Pipelines. Understanding of cloud migration frameworks, landing zones, and infrastructure modernization strategies. Experience utilizing AI-assisted coding, infrastructure automation, AIOps, or intelligent monitoring technologies. Familiarity with cloud security, governance, and compliance frameworks. Relevant certifications such as HashiCorp Terraform Associate, Microsoft Azure Administrator, Azure DevOps Engineer Expert, or AWS certifications. Ideal Candidate Profile: The successful candidate will be a hands-on engineer who is equally comfortable working within traditional VMware infrastructure and modern cloud environments. This individual should be capable of building scalable automation frameworks, contributing directly to enterprise cloud migration efforts, and enabling new cloud-based solutions. The position requires someone who can execute technical work independently while collaborating closely with internal teams to accelerate cloud adoption and infrastructure modernization. Work Location Requirement: This position requires working onsite in Reston, Virginia, five days per week. Work Authorization: U.S. Citizen or Green Card
11/14/2026
Full time
Job Description Position Overview: We are seeking an experienced Senior Cloud Automation Engineer to support a large-scale enterprise cloud transformation initiative. The organization currently operates a significant on-premises VMware infrastructure and is looking to migrate substantial workloads to the cloud while developing new cloud-native capabilities. The ideal candidate will have strong experience in infrastructure automation, Infrastructure as Code (IaC), GitOps methodologies, and cloud engineering. This individual will play a key role in automating infrastructure provisioning, supporting virtual machine migrations, and enabling the organization's broader cloud adoption strategy across internal business systems, back-office applications, and customer-facing solutions. Key Responsibilities: Design, develop, and maintain infrastructure automation solutions using Terraform, Ansible, and GitOps practices . Support the migration of existing on-premises VMware virtual machines and enterprise workloads into cloud environments. Develop Infrastructure as Code (IaC) solutions to automate cloud infrastructure provisioning, configuration, and lifecycle management. Establish and maintain GitOps workflows and CI/CD pipelines to support consistent, repeatable infrastructure deployments. Collaborate with infrastructure, networking, security, and application teams to assess workload readiness and execute cloud migration strategies. Support the deployment of new cloud-native applications and infrastructure for internal operations, back-office systems, and customer-facing services. Automate configuration management, deployment, monitoring, and operational tasks across hybrid cloud environments. Implement infrastructure standards and automation best practices to improve scalability, reliability, security, and operational efficiency. Assist with cloud environment optimization, including resource management, performance monitoring, and cost efficiency. Identify opportunities to leverage AI-enabled tools and emerging technologies to improve infrastructure automation and operational efficiency. Develop technical documentation, reusable automation modules, and standardized deployment processes. Required Qualifications: 5+ years of experience in infrastructure engineering, cloud engineering, DevOps, or infrastructure automation. Strong hands-on experience with Terraform for Infrastructure as Code. Strong experience with Ansible for configuration management and automated deployment. Experience implementing GitOps workflows using Git-based repositories and CI/CD tooling. Experience managing and supporting on-premises VMware vSphere / ESXi environments. Demonstrated experience migrating virtual machines, applications, or infrastructure workloads from on-premises environments to public cloud platforms. Hands-on experience with at least one major cloud provider, preferably Microsoft Azure or AWS. Proficiency with scripting languages such as Python, PowerShell, or Bash. Understanding of cloud networking, identity and access management, security, storage, and infrastructure monitoring. Experience supporting hybrid infrastructure environments and enterprise cloud adoption initiatives. Strong troubleshooting, analytical, documentation, and cross-functional communication skills. Preferred Qualifications: Experience with Microsoft Azure, including Azure Virtual Machines, Azure Migrate, Azure DevOps, and Azure infrastructure services. Experience with AWS and/or multicloud environments. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with GitHub Actions, GitLab CI/CD, or Azure DevOps Pipelines. Understanding of cloud migration frameworks, landing zones, and infrastructure modernization strategies. Experience utilizing AI-assisted coding, infrastructure automation, AIOps, or intelligent monitoring technologies. Familiarity with cloud security, governance, and compliance frameworks. Relevant certifications such as HashiCorp Terraform Associate, Microsoft Azure Administrator, Azure DevOps Engineer Expert, or AWS certifications. Ideal Candidate Profile: The successful candidate will be a hands-on engineer who is equally comfortable working within traditional VMware infrastructure and modern cloud environments. This individual should be capable of building scalable automation frameworks, contributing directly to enterprise cloud migration efforts, and enabling new cloud-based solutions. The position requires someone who can execute technical work independently while collaborating closely with internal teams to accelerate cloud adoption and infrastructure modernization. Work Location Requirement: This position requires working onsite in Reston, Virginia, five days per week. Work Authorization: U.S. Citizen or Green Card
Job Description Cohu is a global supplier of semiconductor test and automation equipment. In this role you will build and sustain software that controls complex electro-mechanical test handlers used in high-volume semiconductor manufacturing. Position Summary Design and develop proprietary Windows desktop application and framework software for control machines, automation systems, and complex electro-mechanical platforms - including motion controllers, I/O systems, sensors, machine vision systems, robotics, and barcode readers. This role spans full lifecycle development-from architecture and design through integration, deployment, and customer support-focused on uptime, safety, and predictable behavior. This position is ideal for engineers who enjoy building large software systems that interact with sophisticated industrial equipment. Essential Functions / Responsibilities Design, develop, test, and integrate machine control software using C++ and C# in a Visual Studio environment. Develop automation software using object-oriented design principles and software design patterns. Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and other industrial devices through vendor-provided Windows APIs and SDKs. Drive system architecture, interface definitions, and software design reviews; establish patterns that scale across product variants. Own customer escalation response: troubleshoot issues using logs, instrumentation, and on-equipment debugging; deliver corrective actions and prevention plans. Partner with Manufacturing and Field Service to resolve production-line and installed-base issues, restore system uptime, and improve reliability. Build verification strategies that push failure detection upstream (simulation, automated system tests, regression suites) and reduce re-occurrence. Interface with customers and cross-functional teams (EE/ME/Test/Apps) to align requirements, integration plans, and release readiness. Mentor engineers through code reviews, design feedback, and technical coaching. Required Qualifications Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related field. 10+ years of professional software engineering experience, including substantial work on automation, machine control, or complex electro-mechanical systems. Expert C/C++ skills with object-oriented design (OOD) and design patterns; ability to write maintainable, testable, production-quality code. Strong experience developing on Windows desktop applications using Visual Studio; familiarity with C# for tooling, diagnostics, or UI is preferred. Experience developing multithreaded software and event-driven software. Experience integrating external hardware using Windows APIs, SDKs, or communication libraries. Proficiency with version control and collaborative development workflows (Git preferred): code reviews, branching strategies, and disciplined change management. Demonstrated ability to troubleshoot and resolve field issues, including root-cause analysis and implementing corrective/preventive actions. Strong written and verbal communication skills; comfortable presenting designs and status to technical and non-technical stakeholders. Relevant Domain Experience (Any of the Following) Semiconductor equipment, test handlers, ATE integration, or factory automation environments. Comparable experience in industrial automation, robotics, medical devices, or high-volume product engineering with electro-mechanical systems. Preferred / Additional Skills (Highly Beneficial for Test Handler Software) State machine development, event-driven software architecture, machine sequencing, hardware integration through vendor API, motion control APIs, machine vision integration. Hardware/software integration experience (MCU/SoC peripherals, serial buses, timing/latency considerations) and familiarity with common interfaces (RS-232/RS-485, USB, Ethernet, TCP/IP, CAN, I2C, SPI). UI development experience for operator/service tools (WPF, WinForms, or Qt); ability to build effective diagnostics and recovery workflows. Build and release tooling: CI/CD pipelines (e.g., Jenkins), automated test execution, packaging/deployment, and traceable release documentation. Experience with factory/equipment communication standards such as SECS/GEM and related SEMI standards (e.g., E5/E30/E37/HSMS) and/or equipment performance tracking. Experience with simulation or hardware abstraction techniques that enable development and testing before hardware availability. Scripting and data analysis for troubleshooting (e.g., Python) and familiarity with issue tracking (e.g., Jira). Understanding of machine safety concepts: interlocks, e-stops, safe-state design, and failure modes; exposure to functional safety standards (e.g., ISO 13849) is a plus. What Success Looks Like You deliver reliable software that maintains throughput and uptime in production environments. You design scalable software architectures used across multiple products. You reduce escalation frequency by improving diagnosability and recovery behavior. You improve development velocity through pragmatic architecture, automation, and strong engineering hygiene. You mentor engineers and elevate software engineering standards across the organization. You collaborate effectively across disciplines and communicate trade-offs clearly Job Conditions / Additional Information Occasional domestic and international travel may be required (approximately 10%). Work involves extended periods at a computer workstation and may include time in manufacturing areas or at customer sites when supporting escalations. Compensation: The estimated base pay range for this position is $113,000-170,000 per year, depending on qualifications, experience, education, and other job-related factors. This range represents Cohu's good faith estimate of what it reasonably expects to pay for this role upon hire. This role may also be eligible for other compensation programs as determined by company policy. Featured benefits Medical, dental & vision insurance 401(k) with company matching contributions Employee Stock Purchase Plan Tuition assistance Disability & life insurance Profit Sharing With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice. Connect with Cohu Connect with your future Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category. In addition, reasonable accommodations are available to qualified disabled individuals, upon request. Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.
11/14/2026
Full time
Job Description Cohu is a global supplier of semiconductor test and automation equipment. In this role you will build and sustain software that controls complex electro-mechanical test handlers used in high-volume semiconductor manufacturing. Position Summary Design and develop proprietary Windows desktop application and framework software for control machines, automation systems, and complex electro-mechanical platforms - including motion controllers, I/O systems, sensors, machine vision systems, robotics, and barcode readers. This role spans full lifecycle development-from architecture and design through integration, deployment, and customer support-focused on uptime, safety, and predictable behavior. This position is ideal for engineers who enjoy building large software systems that interact with sophisticated industrial equipment. Essential Functions / Responsibilities Design, develop, test, and integrate machine control software using C++ and C# in a Visual Studio environment. Develop automation software using object-oriented design principles and software design patterns. Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and other industrial devices through vendor-provided Windows APIs and SDKs. Drive system architecture, interface definitions, and software design reviews; establish patterns that scale across product variants. Own customer escalation response: troubleshoot issues using logs, instrumentation, and on-equipment debugging; deliver corrective actions and prevention plans. Partner with Manufacturing and Field Service to resolve production-line and installed-base issues, restore system uptime, and improve reliability. Build verification strategies that push failure detection upstream (simulation, automated system tests, regression suites) and reduce re-occurrence. Interface with customers and cross-functional teams (EE/ME/Test/Apps) to align requirements, integration plans, and release readiness. Mentor engineers through code reviews, design feedback, and technical coaching. Required Qualifications Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related field. 10+ years of professional software engineering experience, including substantial work on automation, machine control, or complex electro-mechanical systems. Expert C/C++ skills with object-oriented design (OOD) and design patterns; ability to write maintainable, testable, production-quality code. Strong experience developing on Windows desktop applications using Visual Studio; familiarity with C# for tooling, diagnostics, or UI is preferred. Experience developing multithreaded software and event-driven software. Experience integrating external hardware using Windows APIs, SDKs, or communication libraries. Proficiency with version control and collaborative development workflows (Git preferred): code reviews, branching strategies, and disciplined change management. Demonstrated ability to troubleshoot and resolve field issues, including root-cause analysis and implementing corrective/preventive actions. Strong written and verbal communication skills; comfortable presenting designs and status to technical and non-technical stakeholders. Relevant Domain Experience (Any of the Following) Semiconductor equipment, test handlers, ATE integration, or factory automation environments. Comparable experience in industrial automation, robotics, medical devices, or high-volume product engineering with electro-mechanical systems. Preferred / Additional Skills (Highly Beneficial for Test Handler Software) State machine development, event-driven software architecture, machine sequencing, hardware integration through vendor API, motion control APIs, machine vision integration. Hardware/software integration experience (MCU/SoC peripherals, serial buses, timing/latency considerations) and familiarity with common interfaces (RS-232/RS-485, USB, Ethernet, TCP/IP, CAN, I2C, SPI). UI development experience for operator/service tools (WPF, WinForms, or Qt); ability to build effective diagnostics and recovery workflows. Build and release tooling: CI/CD pipelines (e.g., Jenkins), automated test execution, packaging/deployment, and traceable release documentation. Experience with factory/equipment communication standards such as SECS/GEM and related SEMI standards (e.g., E5/E30/E37/HSMS) and/or equipment performance tracking. Experience with simulation or hardware abstraction techniques that enable development and testing before hardware availability. Scripting and data analysis for troubleshooting (e.g., Python) and familiarity with issue tracking (e.g., Jira). Understanding of machine safety concepts: interlocks, e-stops, safe-state design, and failure modes; exposure to functional safety standards (e.g., ISO 13849) is a plus. What Success Looks Like You deliver reliable software that maintains throughput and uptime in production environments. You design scalable software architectures used across multiple products. You reduce escalation frequency by improving diagnosability and recovery behavior. You improve development velocity through pragmatic architecture, automation, and strong engineering hygiene. You mentor engineers and elevate software engineering standards across the organization. You collaborate effectively across disciplines and communicate trade-offs clearly Job Conditions / Additional Information Occasional domestic and international travel may be required (approximately 10%). Work involves extended periods at a computer workstation and may include time in manufacturing areas or at customer sites when supporting escalations. Compensation: The estimated base pay range for this position is $113,000-170,000 per year, depending on qualifications, experience, education, and other job-related factors. This range represents Cohu's good faith estimate of what it reasonably expects to pay for this role upon hire. This role may also be eligible for other compensation programs as determined by company policy. Featured benefits Medical, dental & vision insurance 401(k) with company matching contributions Employee Stock Purchase Plan Tuition assistance Disability & life insurance Profit Sharing With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice. Connect with Cohu Connect with your future Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category. In addition, reasonable accommodations are available to qualified disabled individuals, upon request. Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.
Job Description We're partnering with an established quantitative trading firm hiring an engineer to help build and improve its internal Kubernetes platform. The team develops the infrastructure and tooling that engineering teams rely on to deploy and run critical applications. You'll take ownership of production clusters, automate platform operations, and make it easier for developers to deliver reliable software in an on-premises environment. What you'll do: • Build, operate, and scale Kubernetes clusters across on-premises infrastructure • Develop automation for provisioning, application deployment, and cluster maintenance • Work with developers to improve CI/CD pipelines and simplify deployment workflows • Investigate performance and reliability issues across containers, networking, and storage • Strengthen monitoring and alerting to identify problems early and improve platform visibility • Manage cluster upgrades, recovery procedures, and backup processes • Improve platform security through access controls, network policies, and secrets management Looking for: • 3+ years of hands-on Kubernetes experience, ideally including on-premises environments • Strong understanding of containers and production infrastructure • Experience automating infrastructure tasks using Python, Bash, or similar languages • Familiarity with CI/CD tooling and application deployment processes • Working knowledge of Kubernetes networking, storage, and security • Ability to troubleshoot complex production issues and drive improvements through to completion • Strong communication skills and experience partnering with software engineering teams
11/14/2026
Full time
Job Description We're partnering with an established quantitative trading firm hiring an engineer to help build and improve its internal Kubernetes platform. The team develops the infrastructure and tooling that engineering teams rely on to deploy and run critical applications. You'll take ownership of production clusters, automate platform operations, and make it easier for developers to deliver reliable software in an on-premises environment. What you'll do: • Build, operate, and scale Kubernetes clusters across on-premises infrastructure • Develop automation for provisioning, application deployment, and cluster maintenance • Work with developers to improve CI/CD pipelines and simplify deployment workflows • Investigate performance and reliability issues across containers, networking, and storage • Strengthen monitoring and alerting to identify problems early and improve platform visibility • Manage cluster upgrades, recovery procedures, and backup processes • Improve platform security through access controls, network policies, and secrets management Looking for: • 3+ years of hands-on Kubernetes experience, ideally including on-premises environments • Strong understanding of containers and production infrastructure • Experience automating infrastructure tasks using Python, Bash, or similar languages • Familiarity with CI/CD tooling and application deployment processes • Working knowledge of Kubernetes networking, storage, and security • Ability to troubleshoot complex production issues and drive improvements through to completion • Strong communication skills and experience partnering with software engineering teams
Yoh, A Day & Zimmermann Company
Durham, North Carolina
Job Description please share your resume to : Senior Full Stack Engineer Durham, NC - US Citizen or GC holders only W2 contract role Role Summary We are seeking a Senior Full Stack Engineer to design, develop, and operate scalable backend systems and cloud native services. This role is primarily focused on backend development, cloud operations, DevOps practices, and the delivery of secure, reliable services. The ideal candidate will come from the development side of DevOps and have strong hands on experience developing in Go, along with experience in Java, Python, or another comparable language. The candidate should be able to develop Go services from scratch and support the full service lifecycle from design and development through deployment and operations. Responsibilities • Design, develop, test, deploy, and maintain highly scalable backend services using Go • Build high throughput APIs and cloud native services • Own services throughout the full development and operations lifecycle • Collaborate with product managers, architects, and engineering teams to translate requirements into technical solutions • Improve engineering processes, tooling, automation, and CI/CD pipelines • Apply DevOps practices to improve delivery speed, reliability, and operational efficiency • Analyze complex engineering challenges and develop effective solutions • Support secure authentication, authorization, and access management systems • Contribute to systems designed for high availability, reliability, and fault tolerance Required Qualifications • 6 or more years of programming experience with Go, Java, Node.js, Python, or comparable technologies • Demonstrated ability to develop Go applications and services from scratch • Strong backend development experience with high throughput APIs • Experience with cloud providers such as AWS or Azure • Strong CI/CD, automation, and DevOps experience • Experience with Docker and Kubernetes • Experience supporting service deployment and operations • Strong problem solving, written, and verbal communication skills • Bachelor's degree or equivalent experience • Experience using AI developer tools such as GitHub Copilot or similar Preferred Qualifications • Experience with Envoy proxy configuration, service meshes, routing, or load balancing systems • Familiarity with observability tools, including logging, metrics, and tracing • Knowledge of cloud security best practices and compliance • Experience designing highly available and fault tolerant systems • Prior experience leading medium to large technical initiatives Estimated Min Rate : $49.00 Estimated Max Rate : $70.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/14/2026
Full time
Job Description please share your resume to : Senior Full Stack Engineer Durham, NC - US Citizen or GC holders only W2 contract role Role Summary We are seeking a Senior Full Stack Engineer to design, develop, and operate scalable backend systems and cloud native services. This role is primarily focused on backend development, cloud operations, DevOps practices, and the delivery of secure, reliable services. The ideal candidate will come from the development side of DevOps and have strong hands on experience developing in Go, along with experience in Java, Python, or another comparable language. The candidate should be able to develop Go services from scratch and support the full service lifecycle from design and development through deployment and operations. Responsibilities • Design, develop, test, deploy, and maintain highly scalable backend services using Go • Build high throughput APIs and cloud native services • Own services throughout the full development and operations lifecycle • Collaborate with product managers, architects, and engineering teams to translate requirements into technical solutions • Improve engineering processes, tooling, automation, and CI/CD pipelines • Apply DevOps practices to improve delivery speed, reliability, and operational efficiency • Analyze complex engineering challenges and develop effective solutions • Support secure authentication, authorization, and access management systems • Contribute to systems designed for high availability, reliability, and fault tolerance Required Qualifications • 6 or more years of programming experience with Go, Java, Node.js, Python, or comparable technologies • Demonstrated ability to develop Go applications and services from scratch • Strong backend development experience with high throughput APIs • Experience with cloud providers such as AWS or Azure • Strong CI/CD, automation, and DevOps experience • Experience with Docker and Kubernetes • Experience supporting service deployment and operations • Strong problem solving, written, and verbal communication skills • Bachelor's degree or equivalent experience • Experience using AI developer tools such as GitHub Copilot or similar Preferred Qualifications • Experience with Envoy proxy configuration, service meshes, routing, or load balancing systems • Familiarity with observability tools, including logging, metrics, and tracing • Knowledge of cloud security best practices and compliance • Experience designing highly available and fault tolerant systems • Prior experience leading medium to large technical initiatives Estimated Min Rate : $49.00 Estimated Max Rate : $70.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
Job Description Job Description: The DevOps Engineer is responsible for managing and maintaining the global enterprise platforms, maintaining the templates for the monitoring systems, integration to BigPanda, the quality of the alerting into the BigPanda eventing platform, CMDB integration, monitoring Best Practices for AWS cloud. 10 plus years working in Information Technology 4 plus years running production systems on AWS Datadog Experience with site monitoring and log monitoring tools, specifically Datadog.Certified AWS SysOps Administrator a plus. Experience with TypeScript & JavaScript Experience with DynamoDB, S3 and Cognito Good understanding of Serverless and CloudFormation Understanding of best practices for AWS, EC2, Couchbase and monitoring of containers Manages capacity planning, updates, upgrades and internal integration. Responsible for administration of monitoring tools in the APM space Coordinates with DevOps, Problem Management, etc escalations to support monitoring Manages uptime and availability and reporting Mentor, educate, and train support personnel on how to use tools Maintains knowledge on current technology by reading technology periodicals, evaluating new technologies and attending trade-shows, technical seminars and training sessions. Performs other duties as assigned and required. Duties and responsibilities may change from time to time without notice and include but are not limited to the duties described above Required Qualifications - Knowledge/Skills: Manage monitoring of overall application availability, latency and system health Determine alert standards for production environments and implement them Develop strategies for logging and indexing to improve visibility to development teams Develop and manage configuration scripts for Amazon hosted infrastructure Work with the development team and management to ensure high availability Familiarity with configuration management software such as Ansible Build reporting dashboards to assist visibility of cost and stability Provide support to teams for alarms and outages on an as-needed basis Experience with Windows Server, IIS, Docker/Kubernetes Strong understanding of systems, networks and troubleshooting techniques. Experience in automated build pipeline, and continuous integration. Source control, branching, and merging: git/svn/etc (Repository Management) Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level. Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn?t misrepresent him/herself for personal gain. Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussions, developing and maintaining relations. Technical Expertise- A commitment to increasing knowledge and skills in current technical/functional area, keeping up to date on technical developments, staying informed as to industry practices, knowing how to apply relevant technical processes to appropriate business needs. Top Skill Set / Job Characteristics: Senior-level AWS production support and engineering experience: 7 plus years of hands-on DevOps, SRE, platform engineering, or cloud infrastructure experience, including at least 5 plus years supporting, troubleshooting, and improving production workloads on AWS. Must be able to independently diagnose complex issues, lead root-cause analysis, and drive reliable solutions across services such as ECS, EKS, S3, Lambda, DocumentDB, DynamoDB, IAM, networking, logging, and monitoring. Preferred certification: AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional. Associate-level certification may be considered with strong hands-on senior experience. Advanced Terraform and infrastructure-as-code experience: 5 plus years designing, developing, debugging, and maintaining Terraform-based infrastructure for AWS at enterprise scale. Candidate should be comfortable building reusable modules, managing remote state, reviewing plans, troubleshooting drift, and applying change automation safely across non-production and production environments. Must have direct experience provisioning and managing AWS infrastructure using Terraform, not only consuming prebuilt modules. Expected to contribute to module design, code reviews, standards, documentation, and reusable patterns for services such as EKS, ECS, EC2, S3, IAM, networking, and supporting AWS services. Strong understanding of Terraform execution plans, state management, resource dependencies, module versioning, policy controls, and promotion of infrastructure changes through controlled environments. Experience with automated validation, testing, and CI/CD integration for infrastructure changes is strongly preferred. Container platform and Kubernetes/EKS depth: 5 plus years of experience with containerized workloads and 3 plus years of hands-on Kubernetes or Amazon EKS experience in production environments. Candidate should understand cluster operations, workload deployment, Helm, kubectl, autoscaling, networking, IAM/RBAC integration, troubleshooting, and platform reliability patterns. Manage and maintain Helm charts and Kubernetes manifests for repeatable application and platform deployments. Lead or significantly contribute to production deployments, upgrades, incident resolution, and operational support for Kubernetes/EKS-based platforms. Demonstrated experience deploying and troubleshooting distributed applications using Docker, ECS, Kubernetes, or EKS, including service discovery, ingress/load balancing, network policies, and logging/monitoring integration. Experience with GitOps or CI/CD-driven deployment patterns, including GitHub Actions, GitLab CI, Jenkins, Harness, Argo CD, Flux, or similar tooling. Preferred certification: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, or equivalent hands-on container platform experience.
11/14/2026
Full time
Job Description Job Description: The DevOps Engineer is responsible for managing and maintaining the global enterprise platforms, maintaining the templates for the monitoring systems, integration to BigPanda, the quality of the alerting into the BigPanda eventing platform, CMDB integration, monitoring Best Practices for AWS cloud. 10 plus years working in Information Technology 4 plus years running production systems on AWS Datadog Experience with site monitoring and log monitoring tools, specifically Datadog.Certified AWS SysOps Administrator a plus. Experience with TypeScript & JavaScript Experience with DynamoDB, S3 and Cognito Good understanding of Serverless and CloudFormation Understanding of best practices for AWS, EC2, Couchbase and monitoring of containers Manages capacity planning, updates, upgrades and internal integration. Responsible for administration of monitoring tools in the APM space Coordinates with DevOps, Problem Management, etc escalations to support monitoring Manages uptime and availability and reporting Mentor, educate, and train support personnel on how to use tools Maintains knowledge on current technology by reading technology periodicals, evaluating new technologies and attending trade-shows, technical seminars and training sessions. Performs other duties as assigned and required. Duties and responsibilities may change from time to time without notice and include but are not limited to the duties described above Required Qualifications - Knowledge/Skills: Manage monitoring of overall application availability, latency and system health Determine alert standards for production environments and implement them Develop strategies for logging and indexing to improve visibility to development teams Develop and manage configuration scripts for Amazon hosted infrastructure Work with the development team and management to ensure high availability Familiarity with configuration management software such as Ansible Build reporting dashboards to assist visibility of cost and stability Provide support to teams for alarms and outages on an as-needed basis Experience with Windows Server, IIS, Docker/Kubernetes Strong understanding of systems, networks and troubleshooting techniques. Experience in automated build pipeline, and continuous integration. Source control, branching, and merging: git/svn/etc (Repository Management) Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level. Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn?t misrepresent him/herself for personal gain. Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussions, developing and maintaining relations. Technical Expertise- A commitment to increasing knowledge and skills in current technical/functional area, keeping up to date on technical developments, staying informed as to industry practices, knowing how to apply relevant technical processes to appropriate business needs. Top Skill Set / Job Characteristics: Senior-level AWS production support and engineering experience: 7 plus years of hands-on DevOps, SRE, platform engineering, or cloud infrastructure experience, including at least 5 plus years supporting, troubleshooting, and improving production workloads on AWS. Must be able to independently diagnose complex issues, lead root-cause analysis, and drive reliable solutions across services such as ECS, EKS, S3, Lambda, DocumentDB, DynamoDB, IAM, networking, logging, and monitoring. Preferred certification: AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional. Associate-level certification may be considered with strong hands-on senior experience. Advanced Terraform and infrastructure-as-code experience: 5 plus years designing, developing, debugging, and maintaining Terraform-based infrastructure for AWS at enterprise scale. Candidate should be comfortable building reusable modules, managing remote state, reviewing plans, troubleshooting drift, and applying change automation safely across non-production and production environments. Must have direct experience provisioning and managing AWS infrastructure using Terraform, not only consuming prebuilt modules. Expected to contribute to module design, code reviews, standards, documentation, and reusable patterns for services such as EKS, ECS, EC2, S3, IAM, networking, and supporting AWS services. Strong understanding of Terraform execution plans, state management, resource dependencies, module versioning, policy controls, and promotion of infrastructure changes through controlled environments. Experience with automated validation, testing, and CI/CD integration for infrastructure changes is strongly preferred. Container platform and Kubernetes/EKS depth: 5 plus years of experience with containerized workloads and 3 plus years of hands-on Kubernetes or Amazon EKS experience in production environments. Candidate should understand cluster operations, workload deployment, Helm, kubectl, autoscaling, networking, IAM/RBAC integration, troubleshooting, and platform reliability patterns. Manage and maintain Helm charts and Kubernetes manifests for repeatable application and platform deployments. Lead or significantly contribute to production deployments, upgrades, incident resolution, and operational support for Kubernetes/EKS-based platforms. Demonstrated experience deploying and troubleshooting distributed applications using Docker, ECS, Kubernetes, or EKS, including service discovery, ingress/load balancing, network policies, and logging/monitoring integration. Experience with GitOps or CI/CD-driven deployment patterns, including GitHub Actions, GitLab CI, Jenkins, Harness, Argo CD, Flux, or similar tooling. Preferred certification: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, or equivalent hands-on container platform experience.
LexisNexis Legal & Professional
Raleigh, North Carolina
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to lead the development of next-generation AI-powered legal solutions that help professionals draft, reason, and work more effectively with complex legal information? Do you thrive at the intersection of people leadership, large language models, retrieval-augmented generation, and product innovation, turning emerging AI capabilities into meaningful customer outcomes ? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components. You'll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants, capable of contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines. Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 6 years of post-degree experience, with 3+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
11/14/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to lead the development of next-generation AI-powered legal solutions that help professionals draft, reason, and work more effectively with complex legal information? Do you thrive at the intersection of people leadership, large language models, retrieval-augmented generation, and product innovation, turning emerging AI capabilities into meaningful customer outcomes ? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components. You'll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants, capable of contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines. Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 6 years of post-degree experience, with 3+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
CNC Applications Engineer Salt Lake City, UT Productivity, Inc. Are you an experienced CNC programmer or machinist who enjoys solving complex machining challenges, improving processes, and helping others succeed? Productivity, Inc. is seeking a CNC Applications Engineer to join our Salt Lake City team. In this hands-on, customer-facing role, you'll use your CNC machining, programming, and process development expertise to help manufacturers improve productivity, solve technical challenges, and get the most out of their machine tools. You'll work with advanced CNC technology, support our Machine Tool Sales team, and partner directly with customers to develop practical machining solutions-from programming and tooling selection to process optimization, machine demonstrations, and training. This is an excellent opportunity for an experienced CNC programmer, machinist, or Applications Engineer who enjoys technical challenges, variety, and sharing their knowledge with others. What You'll Do Develop and optimize machining processes for CNC mills, lathes, horizontal machining centers, 5-axis machines, and other advanced machining equipment. Program, set up, and prove out CNC machining processes, including tooling, workholding, cutting parameters, and cycle time optimization. Troubleshoot machining challenges involving programming, tooling, fixturing, part quality, accuracy, and machine performance. Support customers onsite with applications assistance, process improvements, programming, and technical training. Partner with Machine Tool Sales to develop machining solutions, conduct time studies, demonstrate equipment capabilities, and provide technical expertise during the sales process. Develop complete machining processes, including CNC programs, tooling and workholding recommendations, setup documentation, cycle time estimates, and process plans. Conduct machine demonstrations and customer training, helping operators and programmers use equipment effectively. Support automation and unattended machining applications, including process development and integration with CNC equipment. Stay current with new machining technologies, cutting tools, programming techniques, and manufacturing processes. What We're Looking For 5+ years of hands-on CNC machining, programming, or manufacturing process development experience. Strong CNC programming skills, including G-code, manual programming, and experience with CAM software. Experience setting up, programming, and optimizing CNC mills and/or lathes. Strong understanding of machining processes, cutting tools, workholding, speeds and feeds, and cycle time optimization. Ability to read and interpret complex engineering drawings, including GD&T. Experience troubleshooting machining problems and developing practical solutions. Strong analytical and problem-solving skills, with the ability to evaluate and improve machining processes. Excellent communication skills and the ability to explain technical concepts to customers and coworkers. Comfortable working directly with customers, providing technical assistance and hands-on training. Valid driver's license and ability to travel to customer locations. Specific Technical Experience Makino 5-axis machining centers and horizontal machining centers (HMCs). Citizen/Miyano Swiss-style and turning equipment. Haas CNC mills and lathes. Advanced manual programming and macro programming. Hard milling, particularly die/mold applications. Multi-axis machining and advanced CAM programming. Automation integration, robotic machine tending, and unattended machining. Customer-facing CNC Applications Engineering, technical support, or training. Conducting time studies, machining demonstrations, and process prove-outs. You don't need experience with every machine or technology listed above. We're looking for someone with a strong machining foundation, excellent problem-solving skills, and the ability to learn new equipment and processes. Why Join Productivity? Productivity, Inc. is an established and growing distributor of CNC machine tools, tooling, automation, and manufacturing solutions. We've built our reputation on technical expertise, exceptional customer service, and integrity. We value employees who take pride in their work, share their knowledge, and help customers succeed. You'll join an experienced team, work with leading manufacturing technologies, and have opportunities to continue developing your technical expertise. Compensation & Benefits $80,000-$95,000 annually, depending on qualifications and experience. Medical, dental, and vision insurance effective your first day. 401(k) with company match. Company-paid life insurance and short-term and long-term disability benefits. Generous paid time off. Ongoing technical training and professional development. Annual performance and compensation reviews. Bring your machining expertise to a role where you can solve new challenges, work with advanced technology, and make a meaningful difference for manufacturing customers. Join the Productivity team! IND123 Compensation details: 0 Yearly Salary PI88ab1b19c4bf-4195
11/14/2026
Full time
CNC Applications Engineer Salt Lake City, UT Productivity, Inc. Are you an experienced CNC programmer or machinist who enjoys solving complex machining challenges, improving processes, and helping others succeed? Productivity, Inc. is seeking a CNC Applications Engineer to join our Salt Lake City team. In this hands-on, customer-facing role, you'll use your CNC machining, programming, and process development expertise to help manufacturers improve productivity, solve technical challenges, and get the most out of their machine tools. You'll work with advanced CNC technology, support our Machine Tool Sales team, and partner directly with customers to develop practical machining solutions-from programming and tooling selection to process optimization, machine demonstrations, and training. This is an excellent opportunity for an experienced CNC programmer, machinist, or Applications Engineer who enjoys technical challenges, variety, and sharing their knowledge with others. What You'll Do Develop and optimize machining processes for CNC mills, lathes, horizontal machining centers, 5-axis machines, and other advanced machining equipment. Program, set up, and prove out CNC machining processes, including tooling, workholding, cutting parameters, and cycle time optimization. Troubleshoot machining challenges involving programming, tooling, fixturing, part quality, accuracy, and machine performance. Support customers onsite with applications assistance, process improvements, programming, and technical training. Partner with Machine Tool Sales to develop machining solutions, conduct time studies, demonstrate equipment capabilities, and provide technical expertise during the sales process. Develop complete machining processes, including CNC programs, tooling and workholding recommendations, setup documentation, cycle time estimates, and process plans. Conduct machine demonstrations and customer training, helping operators and programmers use equipment effectively. Support automation and unattended machining applications, including process development and integration with CNC equipment. Stay current with new machining technologies, cutting tools, programming techniques, and manufacturing processes. What We're Looking For 5+ years of hands-on CNC machining, programming, or manufacturing process development experience. Strong CNC programming skills, including G-code, manual programming, and experience with CAM software. Experience setting up, programming, and optimizing CNC mills and/or lathes. Strong understanding of machining processes, cutting tools, workholding, speeds and feeds, and cycle time optimization. Ability to read and interpret complex engineering drawings, including GD&T. Experience troubleshooting machining problems and developing practical solutions. Strong analytical and problem-solving skills, with the ability to evaluate and improve machining processes. Excellent communication skills and the ability to explain technical concepts to customers and coworkers. Comfortable working directly with customers, providing technical assistance and hands-on training. Valid driver's license and ability to travel to customer locations. Specific Technical Experience Makino 5-axis machining centers and horizontal machining centers (HMCs). Citizen/Miyano Swiss-style and turning equipment. Haas CNC mills and lathes. Advanced manual programming and macro programming. Hard milling, particularly die/mold applications. Multi-axis machining and advanced CAM programming. Automation integration, robotic machine tending, and unattended machining. Customer-facing CNC Applications Engineering, technical support, or training. Conducting time studies, machining demonstrations, and process prove-outs. You don't need experience with every machine or technology listed above. We're looking for someone with a strong machining foundation, excellent problem-solving skills, and the ability to learn new equipment and processes. Why Join Productivity? Productivity, Inc. is an established and growing distributor of CNC machine tools, tooling, automation, and manufacturing solutions. We've built our reputation on technical expertise, exceptional customer service, and integrity. We value employees who take pride in their work, share their knowledge, and help customers succeed. You'll join an experienced team, work with leading manufacturing technologies, and have opportunities to continue developing your technical expertise. Compensation & Benefits $80,000-$95,000 annually, depending on qualifications and experience. Medical, dental, and vision insurance effective your first day. 401(k) with company match. Company-paid life insurance and short-term and long-term disability benefits. Generous paid time off. Ongoing technical training and professional development. Annual performance and compensation reviews. Bring your machining expertise to a role where you can solve new challenges, work with advanced technology, and make a meaningful difference for manufacturing customers. Join the Productivity team! IND123 Compensation details: 0 Yearly Salary PI88ab1b19c4bf-4195
ConRes helps organizations adopt AI across public cloud, government cloud, and local and air-gapped data centers. As clients move AI from pilots into production, their security, compliance and audit teams need an independent answer to one question: is this AI system safe to run? The AI Security Engineer provides that answer. You will assess, test and help govern our clients' AI systems, and turn findings into prioritized, defensible remediation they can act on. Responsibilities AI Security Assessments Lead AI security assessments of LLM applications, RAG pipelines and AI agents: architecture review, data flows, identity, tenancy and data separation, logging and model-provider configuration. Run threat-modeling workshops using STRIDE with the OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance and MITRE ATLAS. Map findings to AI frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) and to the client's control baseline (NIST SP 800-53, NIST SP 800-171 / CMMC, FedRAMP, HIPAA, PCI DSS, SOC 2, ISO/IEC 27001) so stakeholders can defend severity and remediation decisions and produce audit-ready evidence. Write executive-ready reports and present results to client security, compliance and leadership teams. Adversarial Testing Plan and execute AI red-team exercises: direct and indirect prompt injection, jailbreaks, system-prompt and data leakage, insecure output handling, excessive agency and tool abuse in agents, RAG and vector-store poisoning. Validate that guardrails and content filters (native guardrail services in public and government cloud, and self-hosted guardrail models in air-gapped environments) actually hold under attack. Local and Air-gapped AI Deployments Define and verify security controls for self-hosted and air-gapped AI: inference servers (i.e., vLLM, Ollama, NVIDIA NIM), GPU hosts, local vector stores and the networks around them. Secure the model supply chain without internet access: provenance and hash/signature verification of model weights, scanning for unsafe serialization, and an approved internal model and package registry. Design and audit controlled data-transfer processes for moving models, updates, containers and datasets across the air gap. Harden hosts and containers; ensure logging, monitoring and incident response work without cloud services. Assess data-isolation guarantees and document them for accreditors and auditors. AI Governance and Risk Help clients develop AI acceptable-use, data-handling and model/vendor risk standards suited to their regulatory obligations. Assess the AI vendors and SaaS tools clients are adopting: data residency, retention, training-data use, SOC 2 / ISO 42001 posture. Define AI security requirements and acceptance criteria for client solutions, working with the client's teams and ConRes delivery teams. Help clients detect and manage shadow AI and AI-related data loss (data classification, DLP and AI threat-protection tooling). Incident Response and Enablement Support clients in investigating and responding to AI-related incidents: data leakage, model abuse, compromised AI identities or keys. Track emerging AI attack techniques and regulation, and keep client assessments and test cases current. Deliver AI security training and workshops for client teams, and help shape ConRes's AI security services and thought leadership. The pay range for this position begins at $180,000 up to $200,000 per year. This range reflects the annual salary that Continental Resources reasonably and in good faith expects to pay for this position at the time of posting, consistent with the Massachusetts Pay Transparency Law (M.G.L. c. 149, 105E).
11/14/2026
Full time
ConRes helps organizations adopt AI across public cloud, government cloud, and local and air-gapped data centers. As clients move AI from pilots into production, their security, compliance and audit teams need an independent answer to one question: is this AI system safe to run? The AI Security Engineer provides that answer. You will assess, test and help govern our clients' AI systems, and turn findings into prioritized, defensible remediation they can act on. Responsibilities AI Security Assessments Lead AI security assessments of LLM applications, RAG pipelines and AI agents: architecture review, data flows, identity, tenancy and data separation, logging and model-provider configuration. Run threat-modeling workshops using STRIDE with the OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance and MITRE ATLAS. Map findings to AI frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) and to the client's control baseline (NIST SP 800-53, NIST SP 800-171 / CMMC, FedRAMP, HIPAA, PCI DSS, SOC 2, ISO/IEC 27001) so stakeholders can defend severity and remediation decisions and produce audit-ready evidence. Write executive-ready reports and present results to client security, compliance and leadership teams. Adversarial Testing Plan and execute AI red-team exercises: direct and indirect prompt injection, jailbreaks, system-prompt and data leakage, insecure output handling, excessive agency and tool abuse in agents, RAG and vector-store poisoning. Validate that guardrails and content filters (native guardrail services in public and government cloud, and self-hosted guardrail models in air-gapped environments) actually hold under attack. Local and Air-gapped AI Deployments Define and verify security controls for self-hosted and air-gapped AI: inference servers (i.e., vLLM, Ollama, NVIDIA NIM), GPU hosts, local vector stores and the networks around them. Secure the model supply chain without internet access: provenance and hash/signature verification of model weights, scanning for unsafe serialization, and an approved internal model and package registry. Design and audit controlled data-transfer processes for moving models, updates, containers and datasets across the air gap. Harden hosts and containers; ensure logging, monitoring and incident response work without cloud services. Assess data-isolation guarantees and document them for accreditors and auditors. AI Governance and Risk Help clients develop AI acceptable-use, data-handling and model/vendor risk standards suited to their regulatory obligations. Assess the AI vendors and SaaS tools clients are adopting: data residency, retention, training-data use, SOC 2 / ISO 42001 posture. Define AI security requirements and acceptance criteria for client solutions, working with the client's teams and ConRes delivery teams. Help clients detect and manage shadow AI and AI-related data loss (data classification, DLP and AI threat-protection tooling). Incident Response and Enablement Support clients in investigating and responding to AI-related incidents: data leakage, model abuse, compromised AI identities or keys. Track emerging AI attack techniques and regulation, and keep client assessments and test cases current. Deliver AI security training and workshops for client teams, and help shape ConRes's AI security services and thought leadership. The pay range for this position begins at $180,000 up to $200,000 per year. This range reflects the annual salary that Continental Resources reasonably and in good faith expects to pay for this position at the time of posting, consistent with the Massachusetts Pay Transparency Law (M.G.L. c. 149, 105E).
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a financial consulting firm that partners with capital, commodity, and digital market participants. We value differentiation through technology. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintech and capital market service providers. With a global reach with offices in London, New York, Barcelona and Montreal, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions. We are looking for a Senior Software Development Engineer in Test to join our team and help develop our open-source and proprietary platform products. YOU ARE: Self-directed, with the ability to define and manage priorities independently. A great team player who loves sharing knowledge and learning from others. A problem solver with strong analytical skills and a JVM enthusiast. Excited about learning new things and keeping up to date. Happy to work in a test-driven and Agile development fashion. YOU HAVE : Strong understanding of QA methodologies, shift-left practices, and the full software development lifecycle (TDD, BDD, Scrum, Kanban). Mastery of Java, with a focus on automated testing, root cause analysis, and debugging. Comfortable implementing tests across the full test stack: unit, component, integration, system, and E2E. Experience in uncovering complex edge cases through exploratory testing. Confident in translating feature specifications into appropriate test coverage and test plans. Working knowledge of BDD practices, including story refinement, example mapping, acceptance criteria definition, and 3 Amigos. Comfortable using existing code and tests to understand system behaviour. Practical knowledge of application profiling to identify performance and memory bottlenecks. Familiar with defining quality metrics, telemetry, and reporting dashboards. Hands-on exposure to chaos testing to validate system fault tolerance and reliability. Experience in integrating test runs and static code analysis tools into CI/CD pipelines. Working knowledge of maintaining CI/CD pipeline health, with a focus on minimising false positives and maintaining reliable feedback. Background in building containerised test environments with Docker and Kubernetes. Practical familiarity with observability and monitoring platforms. Understanding of performance and load testing for distributed pub/sub low-latency messaging technologies. Knowledge of AI tooling applications within QA workflows to improve coverage, efficiency and defect detection. Exposure to cloud platforms such as AWS, GCP, Azure, and OpenShift. Financial services or trading domain experience is a nice to have. Strong communication and collaboration skills, with confidence engaging internal and external stakeholders. YOU WILL : Propose and enhance project's test plans with focus on test automation approach. Work on technically challenging quality engineering problems across code, tests, and CI/CD pipelines. Confidently leverage your experience in questioning and challenging existing practices while actively promoting QA best practices. Encourage a mindset/culture by educating your team that quality is everyone's responsibility and focusing your time on value-add testing tasks, rather than routine checks. Design, maintain and execute test cases and provide your analysis on the results. Build a solid understanding on business, technical and operational requirements. Follow and suggest improvements to the quality assurance process. Collaborate with other QAs, BAs and DEV team to enhance automated tests and get maximum test coverage. Work with Dev and DevOps team to improve our test automation tools and solutions. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive ) You can learn from anyone here, which is the beauty of it. To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT DO PEOPLE THINK OF US: You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): We create benefits with YOU in mind. A competitive salary 23 days of vacations 50% of the cost for group insurance which includes health, dental, life insurance and short or long-term disabilities up to 5% of your annual salary as a pension plan contribution, if you contribute the same 50% of your public transportation monthly pass Personal Spending Account (PSA) Hybrid working model THE HIRING PROCESS: Long interview processes are stressful and boring, and that is not us We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A zoom chat with one of our QA colleagues where they will ask you detailed questions about QA knowledge and your experience 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper, and you will have a technical task to do. But don't worry; everything will be explained to you step by step by your recruiter. Here is a little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY AND INCLUSION : Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles Background check: The employment is subject to an acceptable background check that will be run by Adaptive.
11/14/2026
Full time
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a financial consulting firm that partners with capital, commodity, and digital market participants. We value differentiation through technology. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintech and capital market service providers. With a global reach with offices in London, New York, Barcelona and Montreal, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions. We are looking for a Senior Software Development Engineer in Test to join our team and help develop our open-source and proprietary platform products. YOU ARE: Self-directed, with the ability to define and manage priorities independently. A great team player who loves sharing knowledge and learning from others. A problem solver with strong analytical skills and a JVM enthusiast. Excited about learning new things and keeping up to date. Happy to work in a test-driven and Agile development fashion. YOU HAVE : Strong understanding of QA methodologies, shift-left practices, and the full software development lifecycle (TDD, BDD, Scrum, Kanban). Mastery of Java, with a focus on automated testing, root cause analysis, and debugging. Comfortable implementing tests across the full test stack: unit, component, integration, system, and E2E. Experience in uncovering complex edge cases through exploratory testing. Confident in translating feature specifications into appropriate test coverage and test plans. Working knowledge of BDD practices, including story refinement, example mapping, acceptance criteria definition, and 3 Amigos. Comfortable using existing code and tests to understand system behaviour. Practical knowledge of application profiling to identify performance and memory bottlenecks. Familiar with defining quality metrics, telemetry, and reporting dashboards. Hands-on exposure to chaos testing to validate system fault tolerance and reliability. Experience in integrating test runs and static code analysis tools into CI/CD pipelines. Working knowledge of maintaining CI/CD pipeline health, with a focus on minimising false positives and maintaining reliable feedback. Background in building containerised test environments with Docker and Kubernetes. Practical familiarity with observability and monitoring platforms. Understanding of performance and load testing for distributed pub/sub low-latency messaging technologies. Knowledge of AI tooling applications within QA workflows to improve coverage, efficiency and defect detection. Exposure to cloud platforms such as AWS, GCP, Azure, and OpenShift. Financial services or trading domain experience is a nice to have. Strong communication and collaboration skills, with confidence engaging internal and external stakeholders. YOU WILL : Propose and enhance project's test plans with focus on test automation approach. Work on technically challenging quality engineering problems across code, tests, and CI/CD pipelines. Confidently leverage your experience in questioning and challenging existing practices while actively promoting QA best practices. Encourage a mindset/culture by educating your team that quality is everyone's responsibility and focusing your time on value-add testing tasks, rather than routine checks. Design, maintain and execute test cases and provide your analysis on the results. Build a solid understanding on business, technical and operational requirements. Follow and suggest improvements to the quality assurance process. Collaborate with other QAs, BAs and DEV team to enhance automated tests and get maximum test coverage. Work with Dev and DevOps team to improve our test automation tools and solutions. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive ) You can learn from anyone here, which is the beauty of it. To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT DO PEOPLE THINK OF US: You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): We create benefits with YOU in mind. A competitive salary 23 days of vacations 50% of the cost for group insurance which includes health, dental, life insurance and short or long-term disabilities up to 5% of your annual salary as a pension plan contribution, if you contribute the same 50% of your public transportation monthly pass Personal Spending Account (PSA) Hybrid working model THE HIRING PROCESS: Long interview processes are stressful and boring, and that is not us We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A zoom chat with one of our QA colleagues where they will ask you detailed questions about QA knowledge and your experience 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper, and you will have a technical task to do. But don't worry; everything will be explained to you step by step by your recruiter. Here is a little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY AND INCLUSION : Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles Background check: The employment is subject to an acceptable background check that will be run by Adaptive.
Job Description Job Description Genesis10 is currently seeking a Senior AI Engineer (Generative AI & Agentic Systems) for a contract position with a Global Financial Institution located in Pennington, NJ. This is a 12+ month contract opportunity. We are seeking an Advanced Python Engineer with specialized expertise in Generative AI orchestration, multi-agent workflows, and Retrieval-Augmented Generation (RAG) systems. In this role, you will design, build, and scale production-grade LLM applications, leveraging modern agentic frameworks to power intelligent enterprise solutions. Key Responsibilities: Architect and scale advanced Retrieval-Augmented Generation (RAG) pipelines, including custom chunking, hybrid search, embedding optimization, and reranking mechanisms Build complex, stateful multi-agent systems and autonomous workflows using frameworks such as LangGraph and Deepagents Orchestrate and monitor using LangChain for robust LLM integration and LangSmith for tracing, evaluation, debugging, and performance monitoring of production LLM pipelines Write clean, modular, highly efficient, and maintainable Python code adhering to modern standards (asynchronous programming, strict typing, and robust error handling) Connect LLM agents and workflows with external data sources, enterprise APIs, vector databases, and developer tooling Optimize token usage, latency, and operational costs across LLM-driven applications without compromising response quality or accuracy Requirements: Advanced, production-level proficiency in Python (asyncio, design patterns, profiling, and testing) Demonstrated hands-on production experience with one or more of the following: LangChain, LangGraph, LangSmith, Deepagents Deep working knowledge of RAG pipelines, prompt engineering strategies, and integration with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, or pgvector) Familiarity with major LLM providers (OpenAI, Anthropic, open-source models via Hugging Face/Ollama) and function-calling / tool-use architectures Experience with Git, CI/CD pipelines, containerization (Docker), and cloud environments (AWS, GCP, or Azure) Pay range: $55.06 - $63.06 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/13/2026
Full time
Job Description Job Description Genesis10 is currently seeking a Senior AI Engineer (Generative AI & Agentic Systems) for a contract position with a Global Financial Institution located in Pennington, NJ. This is a 12+ month contract opportunity. We are seeking an Advanced Python Engineer with specialized expertise in Generative AI orchestration, multi-agent workflows, and Retrieval-Augmented Generation (RAG) systems. In this role, you will design, build, and scale production-grade LLM applications, leveraging modern agentic frameworks to power intelligent enterprise solutions. Key Responsibilities: Architect and scale advanced Retrieval-Augmented Generation (RAG) pipelines, including custom chunking, hybrid search, embedding optimization, and reranking mechanisms Build complex, stateful multi-agent systems and autonomous workflows using frameworks such as LangGraph and Deepagents Orchestrate and monitor using LangChain for robust LLM integration and LangSmith for tracing, evaluation, debugging, and performance monitoring of production LLM pipelines Write clean, modular, highly efficient, and maintainable Python code adhering to modern standards (asynchronous programming, strict typing, and robust error handling) Connect LLM agents and workflows with external data sources, enterprise APIs, vector databases, and developer tooling Optimize token usage, latency, and operational costs across LLM-driven applications without compromising response quality or accuracy Requirements: Advanced, production-level proficiency in Python (asyncio, design patterns, profiling, and testing) Demonstrated hands-on production experience with one or more of the following: LangChain, LangGraph, LangSmith, Deepagents Deep working knowledge of RAG pipelines, prompt engineering strategies, and integration with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, or pgvector) Familiarity with major LLM providers (OpenAI, Anthropic, open-source models via Hugging Face/Ollama) and function-calling / tool-use architectures Experience with Git, CI/CD pipelines, containerization (Docker), and cloud environments (AWS, GCP, or Azure) Pay range: $55.06 - $63.06 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
This job is with Colt Technology Services, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Summary Job title : Senior AI Engineer Reports to : VP of AI Technology and Architecture Job location : Must have ability to be onsite in Boulder, CO office for 2-3 days a week About Colt and the AI Practice Colt Technology Services is a global digital infrastructure company, operating one of the world's largest fiber networks across Europe and Asia. We are building a Boulder-based AI team as the engineering center of our AI Practice. The team is responsible for how AI is adopted, governed, and scaled across Colt. The AI Practice operates across several parallel workstreams, including use case delivery, AI WAN, and private AI. The Boulder team is where we build, test, and validate before we scale. Why we need this role This is a build role. You will take AI use cases from a business problem to something running in production and being used every day: retrieval and search over Colt's own data, agents that carry out multi-step work, and AI built into the systems Colt's teams already rely on. We are looking for a strong software engineer first. If you have spent eight to ten years building and running production systems and even if you have not yet shipped an LLM-based product, we want to hear from. The platform, the tooling, and the model access are already in place, and a staff-level AI engineer on the team will pair with you directly on the AI side of the work. The AI-specific skills you can bring to the table is a plus but is also learnable. The engineering experience and judgement that comes from having owned real systems in production is not, and that is the part we are hiring for. What we do expect is that you have already got hands on with AI, whether at work or as a side project for yourself. You will be working directly with the Colt teams taking requirements from them. The team is small by design, the problems are real, and what you build in your first year sets the pattern for how Colt builds AI. What you will do Build AI Use Cases Design and build AI applications end to end: data access, retrieval, model calls, orchestration, and the interfaces people use Work with large language models through APIs and self-hosted inference, covering prompting, tool use, retrieval, and multi-step agent workflows Build evaluation harnesses that show whether a use case is good enough to ship, and keep owning them after it ships Integrate AI into Colt's existing systems and data, within the constraints of a live enterprise environment Work Directly With the Business Work with the Colt teams, who will be your customers, and who will use what you build, across network operations, service delivery, finance, and others Turn a loosely described business problem into a scoped, buildable design Show working software early and often, and change direction when the first answer turns out to be wrong Be straight with stakeholders about what AI is not the right tool for Take It to Production and Keep It There Move your own work from prototype to production-grade: tested, instrumented, documented, and supportable Monitor accuracy, latency, and cost in production, and act when they drift Work with platform engineers on deployment, and hand over cleanly to production operations Contribute reusable patterns, components, and internal libraries so the next use case is faster than the last What we're looking for Engineering Experience: 8-10+ years building production software. You have owned systems end to end: designed them, shipped them, operated them, and been on the hook when they broke. Languages: Strong in Python, or strong in another language such as Java, Go, C#, or TypeScript and ready to work primarily in Python. Production Systems: APIs and service integration, working with real data at scale, testing, CI/CD, and debugging things that are already live in front of users. Cloud: Comfortable in any major cloud. We build primarily on Google Cloud; equivalent AWS or Azure experience is ok to start. Working Style: Comfortable with ambiguity and with direct contact with non-technical stakeholders. You ask what the problem is before deciding what to build. Hands-On with AI: You have already built something with it under your own steam. A side project, a prototype at work, an internal tool, a serious evaluation you ran, or agentic coding tools you use daily and have opinions about. It does not need to have shipped, been finished, or worked. We want to hear what you tried, what broke, and what you concluded. Helpful, Not Required: Any of this at enterprise scale: production RAG over messy real-world data, agent frameworks, evaluation tooling, Vertex AI, Kubernetes, Terraform. Useful if you have it, and teachable if you do not. HOW YOU WILL RAMP You pair with a staff-level AI engineer from your first week, on a live use case rather than a training exercise The AI platform is already running: model gateway, evaluation tooling, deployment pipelines, and sandbox, development, and production environments We expect you to put something small into real use inside your first 90 days, and to lead a use case end to end within six months WHEN WE TALK Come ready to walk us through something you have built with AI, however small or unfinished. We would rather see a rough prototype you can explain in depth than a polished project you cannot. Expect us to ask where it fell short, what you would do differently, and how you decided whether it was any good. How you evaluated it matters more to us than what you shipped. If you have not used AI tools in your own engineering work, this will be a difficult conversation. That is the one gap we are not set up to close for you. What we offer you: Looking to make a mark? At Colt, you'll make a difference. Because around here, we empower people. We don't tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you'll be encouraged to be yourself because we believe that's what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most recently we have: Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages . Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring - take a look at 'Our People' site including our Empowered Women in Tech.
11/13/2026
Full time
This job is with Colt Technology Services, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Summary Job title : Senior AI Engineer Reports to : VP of AI Technology and Architecture Job location : Must have ability to be onsite in Boulder, CO office for 2-3 days a week About Colt and the AI Practice Colt Technology Services is a global digital infrastructure company, operating one of the world's largest fiber networks across Europe and Asia. We are building a Boulder-based AI team as the engineering center of our AI Practice. The team is responsible for how AI is adopted, governed, and scaled across Colt. The AI Practice operates across several parallel workstreams, including use case delivery, AI WAN, and private AI. The Boulder team is where we build, test, and validate before we scale. Why we need this role This is a build role. You will take AI use cases from a business problem to something running in production and being used every day: retrieval and search over Colt's own data, agents that carry out multi-step work, and AI built into the systems Colt's teams already rely on. We are looking for a strong software engineer first. If you have spent eight to ten years building and running production systems and even if you have not yet shipped an LLM-based product, we want to hear from. The platform, the tooling, and the model access are already in place, and a staff-level AI engineer on the team will pair with you directly on the AI side of the work. The AI-specific skills you can bring to the table is a plus but is also learnable. The engineering experience and judgement that comes from having owned real systems in production is not, and that is the part we are hiring for. What we do expect is that you have already got hands on with AI, whether at work or as a side project for yourself. You will be working directly with the Colt teams taking requirements from them. The team is small by design, the problems are real, and what you build in your first year sets the pattern for how Colt builds AI. What you will do Build AI Use Cases Design and build AI applications end to end: data access, retrieval, model calls, orchestration, and the interfaces people use Work with large language models through APIs and self-hosted inference, covering prompting, tool use, retrieval, and multi-step agent workflows Build evaluation harnesses that show whether a use case is good enough to ship, and keep owning them after it ships Integrate AI into Colt's existing systems and data, within the constraints of a live enterprise environment Work Directly With the Business Work with the Colt teams, who will be your customers, and who will use what you build, across network operations, service delivery, finance, and others Turn a loosely described business problem into a scoped, buildable design Show working software early and often, and change direction when the first answer turns out to be wrong Be straight with stakeholders about what AI is not the right tool for Take It to Production and Keep It There Move your own work from prototype to production-grade: tested, instrumented, documented, and supportable Monitor accuracy, latency, and cost in production, and act when they drift Work with platform engineers on deployment, and hand over cleanly to production operations Contribute reusable patterns, components, and internal libraries so the next use case is faster than the last What we're looking for Engineering Experience: 8-10+ years building production software. You have owned systems end to end: designed them, shipped them, operated them, and been on the hook when they broke. Languages: Strong in Python, or strong in another language such as Java, Go, C#, or TypeScript and ready to work primarily in Python. Production Systems: APIs and service integration, working with real data at scale, testing, CI/CD, and debugging things that are already live in front of users. Cloud: Comfortable in any major cloud. We build primarily on Google Cloud; equivalent AWS or Azure experience is ok to start. Working Style: Comfortable with ambiguity and with direct contact with non-technical stakeholders. You ask what the problem is before deciding what to build. Hands-On with AI: You have already built something with it under your own steam. A side project, a prototype at work, an internal tool, a serious evaluation you ran, or agentic coding tools you use daily and have opinions about. It does not need to have shipped, been finished, or worked. We want to hear what you tried, what broke, and what you concluded. Helpful, Not Required: Any of this at enterprise scale: production RAG over messy real-world data, agent frameworks, evaluation tooling, Vertex AI, Kubernetes, Terraform. Useful if you have it, and teachable if you do not. HOW YOU WILL RAMP You pair with a staff-level AI engineer from your first week, on a live use case rather than a training exercise The AI platform is already running: model gateway, evaluation tooling, deployment pipelines, and sandbox, development, and production environments We expect you to put something small into real use inside your first 90 days, and to lead a use case end to end within six months WHEN WE TALK Come ready to walk us through something you have built with AI, however small or unfinished. We would rather see a rough prototype you can explain in depth than a polished project you cannot. Expect us to ask where it fell short, what you would do differently, and how you decided whether it was any good. How you evaluated it matters more to us than what you shipped. If you have not used AI tools in your own engineering work, this will be a difficult conversation. That is the one gap we are not set up to close for you. What we offer you: Looking to make a mark? At Colt, you'll make a difference. Because around here, we empower people. We don't tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you'll be encouraged to be yourself because we believe that's what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most recently we have: Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages . Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring - take a look at 'Our People' site including our Empowered Women in Tech.
Staff AI Engineer role (Remote Eligible) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows 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 Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff 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 ; 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- 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. . click apply for full job details
11/13/2026
Full time
Staff AI Engineer role (Remote Eligible) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows 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 Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff 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 ; 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- 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. . click apply for full job details
