Job Description Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you're motivated by solving big problems, we're hiring key roles across the company and need your help! We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking. You will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. This role requires a deep knowledge of neural network architectures. You should be confident ripping apart a model to modify layers, loss functions, and data flows to fit our specific constraints. Key Responsibilities Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency. Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions. Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance. Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment. Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies. Required Qualifications Core Stack: 5+ years proficiency in Python and PyTorch. 3+ years proficiency in C++ for production deployment and optimization. Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow). Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements. Low-Data Regimes: Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning. Mathematical Foundation: Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision. Preferred Qualifications 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus. Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.). The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($180,000-220,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR POaf4TokKv
08/05/2026
Full time
Job Description Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you're motivated by solving big problems, we're hiring key roles across the company and need your help! We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking. You will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. This role requires a deep knowledge of neural network architectures. You should be confident ripping apart a model to modify layers, loss functions, and data flows to fit our specific constraints. Key Responsibilities Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency. Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions. Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance. Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment. Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies. Required Qualifications Core Stack: 5+ years proficiency in Python and PyTorch. 3+ years proficiency in C++ for production deployment and optimization. Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow). Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements. Low-Data Regimes: Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning. Mathematical Foundation: Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision. Preferred Qualifications 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus. Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.). The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($180,000-220,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR POaf4TokKv
Job Description Job Description Our mission is to help small businesses run themselves. We're starting with doctors' offices, building autonomous systems that handle busywork and complete the workflows that keep the office moving every day. Our team is small, flat, and ambitious. We value craft, intellectual rigor, and direct communication. About the role Product engineers turn messy, high-value office work into software that feels simple, dependable, and fast. You'll build the products doctors' offices use every day to get work done without adding more work to manage. You will be a great fit if you Are excited to work with frontier models Engineer for reliability and correctness, not just functionality Diagnose and resolve live production incidents with minimal disruption Automate away repetitive work and build tooling that makes engineering faster and safer Design schemas and pipelines for large-scale datasets to power applied AI Are comfortable working across databases, caches, proxies, and job orchestration systems Some things we've built Data pipelines processing $1B+ in insurance claims Systems that eliminate thousands of hours of paperwork every month A sync engine backed by encrypted SQLite in the browser, enabling 100ms experiences for healthcare payments and patient ledgers Technology we use We invest heavily in productivity. Engineers should have the best tools for the job and the freedom to choose them. Python (Django, Pydantic AI), Postgres, Redis TypeScript, React, Tailwind Google Cloud Platform, Vercel Linear, Slack, Notion Joining us To start, you'll have a handful of conversations with our team and founders. If there is mutual excitement, we'll invite you to the office where you'll work on a small project and meet the team.
08/05/2026
Full time
Job Description Job Description Our mission is to help small businesses run themselves. We're starting with doctors' offices, building autonomous systems that handle busywork and complete the workflows that keep the office moving every day. Our team is small, flat, and ambitious. We value craft, intellectual rigor, and direct communication. About the role Product engineers turn messy, high-value office work into software that feels simple, dependable, and fast. You'll build the products doctors' offices use every day to get work done without adding more work to manage. You will be a great fit if you Are excited to work with frontier models Engineer for reliability and correctness, not just functionality Diagnose and resolve live production incidents with minimal disruption Automate away repetitive work and build tooling that makes engineering faster and safer Design schemas and pipelines for large-scale datasets to power applied AI Are comfortable working across databases, caches, proxies, and job orchestration systems Some things we've built Data pipelines processing $1B+ in insurance claims Systems that eliminate thousands of hours of paperwork every month A sync engine backed by encrypted SQLite in the browser, enabling 100ms experiences for healthcare payments and patient ledgers Technology we use We invest heavily in productivity. Engineers should have the best tools for the job and the freedom to choose them. Python (Django, Pydantic AI), Postgres, Redis TypeScript, React, Tailwind Google Cloud Platform, Vercel Linear, Slack, Notion Joining us To start, you'll have a handful of conversations with our team and founders. If there is mutual excitement, we'll invite you to the office where you'll work on a small project and meet the team.
As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. Key job responsibilities Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. Provide technical assistance and support to operations during life cycle of the data center. Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholders management. Support Controls projects related commissioning activities in the data centers. Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. Develop and modify controls logic programming and graphical user interfaces. Manage multiple stakeholder deliverables, requirements and navigate challenging situations. Financially manage BMS and EPMS service contracts. Frequently visit (locally) assigned in-operation data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. BASIC QUALIFICATIONS - Experience in construction of data center delivery (design, commissioning and construction), mission critical facilities, or equivalent industrial/manufacturing facility builds - Bachelor's degree in Electrical Engineering, Mechanical Engineering or a related field plus 10+ years of relevant controls experience, OR 15+ years of relevant controls experience in lieu of a degree. - 10+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.). - 9+ years of general project or vendor management experience (request for proposals, bidding, change orders, quality control, and RFI and submittal tracking) associated with construction and project execution. PREFERRED QUALIFICATIONS - Experience constructing electrical engineering systems including large scale power distribution/generation gear and mechanical engineering systems including cooling systems - Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks. - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. - Experience designing data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). - Prior AWS/Amazon experience - 4+ Yr. Military Service Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 139 000.00 USD annually
08/05/2026
Full time
As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. Key job responsibilities Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. Provide technical assistance and support to operations during life cycle of the data center. Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholders management. Support Controls projects related commissioning activities in the data centers. Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. Develop and modify controls logic programming and graphical user interfaces. Manage multiple stakeholder deliverables, requirements and navigate challenging situations. Financially manage BMS and EPMS service contracts. Frequently visit (locally) assigned in-operation data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. BASIC QUALIFICATIONS - Experience in construction of data center delivery (design, commissioning and construction), mission critical facilities, or equivalent industrial/manufacturing facility builds - Bachelor's degree in Electrical Engineering, Mechanical Engineering or a related field plus 10+ years of relevant controls experience, OR 15+ years of relevant controls experience in lieu of a degree. - 10+ years of experience with industrial controls in critical environment (data center, pharmaceutical, manufacturing, oil & gas, petrochemical, laboratory, power, water etc.). - 9+ years of general project or vendor management experience (request for proposals, bidding, change orders, quality control, and RFI and submittal tracking) associated with construction and project execution. PREFERRED QUALIFICATIONS - Experience constructing electrical engineering systems including large scale power distribution/generation gear and mechanical engineering systems including cooling systems - Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks. - Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS). - Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures. - Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations. - Experience designing data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). - Prior AWS/Amazon experience - 4+ Yr. Military Service Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 139 000.00 USD annually
Job Overview: Pay Range: $65hr - $70hr Requirement/Must Have: In-depth hands-on experience working with Windows Server in hybrid environments (on-premises and cloud). Demonstrated ability to translate user requests, provide technical support and communicate effectively. In-depth hands-on experience with OS upgrades, patch installation and testing. In-depth hands-on experience with scripting utilities (PowerShell) and Windows server scripting to accomplish centralized tasks. In-depth experience performing regular patching and updates to ensure system security and stability. Experience overseeing backup operations and recovery processes in mission critical environments. In-depth experience planning and executing server migrations, including moving workloads from on premises to the cloud. In-depth experience working in an environment that utilizes multiple frameworks/technologies including .NET, Java, SQL/Oracle, Microsoft Dynamics, etc. In-depth experience providing server-level support and troubleshooting issues for production applications. In-depth experience managing vulnerability server and application remediation. Experience with tools like SCCM for automated patch management & deployment. Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss. Strong networking knowledge - including understanding OSI layer functionality and network protocols. Ability to work with cross-functional teams to address infrastructure needs and support application deployment. Responsibilities: Administer, maintain, and optimize Windows Server environments across on-premises and cloud-based infrastructure. Perform OS upgrades, patch installation, testing, and ongoing system updates to ensure reliability and security. Develop and use PowerShell scripts and other automation tools to execute centralized and repetitive tasks efficiently. Lead and execute server migrations, including transitioning workloads from on-premises systems into cloud platforms. Implement and maintain security configurations for servers, including endpoint protection, access control, and hardening standards. Conduct vulnerability remediation for servers and applications to maintain security compliance. Work with security tools and processes to ensure consistent protection and monitoring. Manage patching cycles and use SCCM or similar platforms for automated patch deployment and reporting. Maintain ongoing monitoring and performance assessment of infrastructure services to identify and resolve issues proactively. Oversee routine backup operations and support recovery processes for mission-critical systems. Develop, refine, and support Disaster Recovery (DR) strategies to minimize downtime and protect data integrity. Provide advanced server-level support for enterprise applications using .NET, Java, SQL, Oracle, Microsoft Dynamics, and warehouse technologies. Troubleshoot high-impact production issues across hybrid infrastructure and middleware layers. Apply deep knowledge of OSI model layers and networking protocols to diagnose connectivity and application issues. Collaborate with cross-functional teams to support application deployments and infrastructure enhancements. Translate business or user requests into actionable technical solutions and communicate effectively. Work closely with the IT Portfolio Manager and Infrastructure & Operations teams to align engineering efforts with organizational needs. Nice to Have: Have achieved Microsoft-focus certifications such as Azure Administrator Associate, Windows Server Hybrid Administrator Associate, etc. Has achieved network focused certifications such as Network+, CCNA, etc. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
08/05/2026
Full time
Job Overview: Pay Range: $65hr - $70hr Requirement/Must Have: In-depth hands-on experience working with Windows Server in hybrid environments (on-premises and cloud). Demonstrated ability to translate user requests, provide technical support and communicate effectively. In-depth hands-on experience with OS upgrades, patch installation and testing. In-depth hands-on experience with scripting utilities (PowerShell) and Windows server scripting to accomplish centralized tasks. In-depth experience performing regular patching and updates to ensure system security and stability. Experience overseeing backup operations and recovery processes in mission critical environments. In-depth experience planning and executing server migrations, including moving workloads from on premises to the cloud. In-depth experience working in an environment that utilizes multiple frameworks/technologies including .NET, Java, SQL/Oracle, Microsoft Dynamics, etc. In-depth experience providing server-level support and troubleshooting issues for production applications. In-depth experience managing vulnerability server and application remediation. Experience with tools like SCCM for automated patch management & deployment. Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss. Strong networking knowledge - including understanding OSI layer functionality and network protocols. Ability to work with cross-functional teams to address infrastructure needs and support application deployment. Responsibilities: Administer, maintain, and optimize Windows Server environments across on-premises and cloud-based infrastructure. Perform OS upgrades, patch installation, testing, and ongoing system updates to ensure reliability and security. Develop and use PowerShell scripts and other automation tools to execute centralized and repetitive tasks efficiently. Lead and execute server migrations, including transitioning workloads from on-premises systems into cloud platforms. Implement and maintain security configurations for servers, including endpoint protection, access control, and hardening standards. Conduct vulnerability remediation for servers and applications to maintain security compliance. Work with security tools and processes to ensure consistent protection and monitoring. Manage patching cycles and use SCCM or similar platforms for automated patch deployment and reporting. Maintain ongoing monitoring and performance assessment of infrastructure services to identify and resolve issues proactively. Oversee routine backup operations and support recovery processes for mission-critical systems. Develop, refine, and support Disaster Recovery (DR) strategies to minimize downtime and protect data integrity. Provide advanced server-level support for enterprise applications using .NET, Java, SQL, Oracle, Microsoft Dynamics, and warehouse technologies. Troubleshoot high-impact production issues across hybrid infrastructure and middleware layers. Apply deep knowledge of OSI model layers and networking protocols to diagnose connectivity and application issues. Collaborate with cross-functional teams to support application deployments and infrastructure enhancements. Translate business or user requests into actionable technical solutions and communicate effectively. Work closely with the IT Portfolio Manager and Infrastructure & Operations teams to align engineering efforts with organizational needs. Nice to Have: Have achieved Microsoft-focus certifications such as Azure Administrator Associate, Windows Server Hybrid Administrator Associate, etc. Has achieved network focused certifications such as Network+, CCNA, etc. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Overview: Pay Range $19hr - $24hr Requirement/Must Have: 5+ years of experience in desktop support or systems engineering within enterprise environments. Strong verbal and written communication skills. Ability to communicate effectively with stakeholders. Responsibilities: Coordinate remote troubleshooting sessions using secure enterprise tools to address software issues and configuration conflicts and to restore workstation functionality in a timely manner. Implement standardized desktop images and configuration baselines to ensure consistent performance, security hardening and compliance with organizational technology policies. Administer endpoint management platforms to deploy software packages, patches and configuration updates with minimal disruption to business operations. Monitor desktop environment health through centralized dashboards and logs to identify incident trends and propose preventive improvements for long term stability. Collaborate with service desk teams to handle ticket escalations and provide detailed technical guidance that accelerates resolution times and improves first contact effectiveness. Document desktop procedures, knowledge articles and resolution steps in a clear and reusable format to support continuous improvement and reduce repeated incidents. Perform root cause analysis for recurring desktop issues and recommend sustainable remediation actions that enhance reliability and reduce support workload. Coordinate with network and application teams to validate that endpoint configurations support connectivity, security and application performance requirements. Execute asset management tasks such as workstation lifecycle tracking, hardware validation and software license verification to maintain accurate inventory records. Support security initiatives by applying endpoint security controls, running compliance checks and assisting in remediation of vulnerabilities identified through internal assessments. Engage with business users to understand their desktop usage patterns and recommend configuration optimizations that positively influence productivity and digital experience. Participate in continuous improvement activities by evaluating new desktop tools, frameworks and automation opportunities that can streamline support processes and reduce manual effort. Skills: Advanced proficiency in workstation operating systems, endpoint configuration, user profile management and desktop application support. Applied experience with enterprise endpoint management platforms for software distribution, patch management, inventory and policy enforcement. Practical knowledge of security fundamentals including endpoint protection tools, encryption policies and compliance practices related to workstation environments. Familiarity with scripting or automation approaches for desktop tasks such as log collection, configuration changes or basic remediation workflows. Education and Experience: Possess a bachelor's degree or equivalent experience in information technology, computer science or a related discipline with a strong focus on infrastructure and systems support. Demonstrate eight to ten years of hands-on experience in desktop support or systems engineering within enterprise environments, including exposure to complex incident handling and escalation processes. Communicate clearly with technical and non-technical stakeholders by explaining incident status, remediation steps and preventive recommendations in an accessible and respectful manner. Adapt effectively to a work-from-office environment by providing in-person support, managing walk-up requests and coordinating closely with on-site teams for timely issue resolution. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
08/05/2026
Full time
Job Overview: Pay Range $19hr - $24hr Requirement/Must Have: 5+ years of experience in desktop support or systems engineering within enterprise environments. Strong verbal and written communication skills. Ability to communicate effectively with stakeholders. Responsibilities: Coordinate remote troubleshooting sessions using secure enterprise tools to address software issues and configuration conflicts and to restore workstation functionality in a timely manner. Implement standardized desktop images and configuration baselines to ensure consistent performance, security hardening and compliance with organizational technology policies. Administer endpoint management platforms to deploy software packages, patches and configuration updates with minimal disruption to business operations. Monitor desktop environment health through centralized dashboards and logs to identify incident trends and propose preventive improvements for long term stability. Collaborate with service desk teams to handle ticket escalations and provide detailed technical guidance that accelerates resolution times and improves first contact effectiveness. Document desktop procedures, knowledge articles and resolution steps in a clear and reusable format to support continuous improvement and reduce repeated incidents. Perform root cause analysis for recurring desktop issues and recommend sustainable remediation actions that enhance reliability and reduce support workload. Coordinate with network and application teams to validate that endpoint configurations support connectivity, security and application performance requirements. Execute asset management tasks such as workstation lifecycle tracking, hardware validation and software license verification to maintain accurate inventory records. Support security initiatives by applying endpoint security controls, running compliance checks and assisting in remediation of vulnerabilities identified through internal assessments. Engage with business users to understand their desktop usage patterns and recommend configuration optimizations that positively influence productivity and digital experience. Participate in continuous improvement activities by evaluating new desktop tools, frameworks and automation opportunities that can streamline support processes and reduce manual effort. Skills: Advanced proficiency in workstation operating systems, endpoint configuration, user profile management and desktop application support. Applied experience with enterprise endpoint management platforms for software distribution, patch management, inventory and policy enforcement. Practical knowledge of security fundamentals including endpoint protection tools, encryption policies and compliance practices related to workstation environments. Familiarity with scripting or automation approaches for desktop tasks such as log collection, configuration changes or basic remediation workflows. Education and Experience: Possess a bachelor's degree or equivalent experience in information technology, computer science or a related discipline with a strong focus on infrastructure and systems support. Demonstrate eight to ten years of hands-on experience in desktop support or systems engineering within enterprise environments, including exposure to complex incident handling and escalation processes. Communicate clearly with technical and non-technical stakeholders by explaining incident status, remediation steps and preventive recommendations in an accessible and respectful manner. Adapt effectively to a work-from-office environment by providing in-person support, managing walk-up requests and coordinating closely with on-site teams for timely issue resolution. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Description: Software Engineering Team Lead Department: Enterprise Systems Group Billable Hours Goal: 60% of worked hours Position Type: Full Time Travel Required: Minimal as needed JOB SUMMARY: As the Technical Lead of the Enterprise Systems Group, you will lead the technical team to help ensure they are following processes to deliver all technical functions to agreed scope and specifications as well as provide ongoing client support. Streamline and provide onboarding activities by shadowing, training, ensuring training teams are completing training and other activities. Making decisions aimed at improving efficiency while at the same time ensuring no disruption of on-time delivery to customers. Directly working with the consulting leads to provide quality solution design. REPORTS TO: Manager, Enterprise Systems Group DIRECT REPORTS: Systems and Software Engineers ESSENTIAL FUNCTIONS: Utilize Software Engineering knowledge providing customized solutions to Epicor and external utilities Develop and test solutions with attention to detail and accuracy Document all modifications to client software according to company policy Manage assigned queue, to ensure the team is meeting deadlines and other milestones Provide classroom training to end users on Epicor technical tools Mentor Technical Team Members as required Assist in the hiring process of Technical Team Members Assist with onboarding/training of new Technical Team Members Actively contribute to development team process improvement, policies and procedures Provide direction and escalation for ticket / task issues, and customer satisfaction follow up Present ComTec in a positive light both internally and externally (i.e., be a champion for the company) Assist with performance and development of Technical Team Members Develop and monitor yearly training plans for direct reports Assist Director with quarterly performance reviews with direct reports ADDITIONAL RESPONSIBILITIES: Troubleshoot, identify and evaluate alternative solutions to a problem Maintain daily timesheet and expense report entries and submit them accurately and timely Lead weekly team meetings. Attend Epicor Escalation Meetings Other duties as required Requirements: TECHNICAL SKILLS: C# / VB.NET (intermediate/Advanced) Knowledge of Microsoft SQL Server and/or Progress Databases (Intermediate) Crystal Reports development (Basic) Microsoft SSRS Reporting (Basic) SOFT SKILLS & ABILITIES: Must be able to read, correctly interpret, develop, implement and test solutions based on the specifications document Strong written and verbal communication skills Pleasant and professional demeanor in all client and internal communications Intellectually resourceful with sound judgment and effective decision-making abilities Independent worker and able to work effectively on daily tasks without direct supervision Strong organization skills and ability to operate efficiently throughout daily tasks In general, owns issues through resolution although understands when to escalate a problem to another team member and whom to escalate too; accepts escalated issues; and mentors when appropriate Demonstrate empathy and professionalism with users at all times Work well with clients at all levels Operate with client satisfaction in mind Energy, enthusiasm and results-oriented EDUCATION, EXPERIENCE, & KNOWLEDGE: Related bachelor's degree or equivalent work experience 4+ years of Microsoft .NET programming experience Epicor application experience a plus WORK ENVIRONMENT/PHYSICAL DEMANDS: Use of computer and office equipment Ability to remain calm in stressful situations Performs all administrative functions expected at this level ADDITIONAL REQUIREMENTS: Ability to schedule for evening or weekend work occasionally Valid driver's license in your state of residence and reliable personal vehicle Compensation details: 00 Yearly Salary PIc08683a6d6-
08/05/2026
Full time
Description: Software Engineering Team Lead Department: Enterprise Systems Group Billable Hours Goal: 60% of worked hours Position Type: Full Time Travel Required: Minimal as needed JOB SUMMARY: As the Technical Lead of the Enterprise Systems Group, you will lead the technical team to help ensure they are following processes to deliver all technical functions to agreed scope and specifications as well as provide ongoing client support. Streamline and provide onboarding activities by shadowing, training, ensuring training teams are completing training and other activities. Making decisions aimed at improving efficiency while at the same time ensuring no disruption of on-time delivery to customers. Directly working with the consulting leads to provide quality solution design. REPORTS TO: Manager, Enterprise Systems Group DIRECT REPORTS: Systems and Software Engineers ESSENTIAL FUNCTIONS: Utilize Software Engineering knowledge providing customized solutions to Epicor and external utilities Develop and test solutions with attention to detail and accuracy Document all modifications to client software according to company policy Manage assigned queue, to ensure the team is meeting deadlines and other milestones Provide classroom training to end users on Epicor technical tools Mentor Technical Team Members as required Assist in the hiring process of Technical Team Members Assist with onboarding/training of new Technical Team Members Actively contribute to development team process improvement, policies and procedures Provide direction and escalation for ticket / task issues, and customer satisfaction follow up Present ComTec in a positive light both internally and externally (i.e., be a champion for the company) Assist with performance and development of Technical Team Members Develop and monitor yearly training plans for direct reports Assist Director with quarterly performance reviews with direct reports ADDITIONAL RESPONSIBILITIES: Troubleshoot, identify and evaluate alternative solutions to a problem Maintain daily timesheet and expense report entries and submit them accurately and timely Lead weekly team meetings. Attend Epicor Escalation Meetings Other duties as required Requirements: TECHNICAL SKILLS: C# / VB.NET (intermediate/Advanced) Knowledge of Microsoft SQL Server and/or Progress Databases (Intermediate) Crystal Reports development (Basic) Microsoft SSRS Reporting (Basic) SOFT SKILLS & ABILITIES: Must be able to read, correctly interpret, develop, implement and test solutions based on the specifications document Strong written and verbal communication skills Pleasant and professional demeanor in all client and internal communications Intellectually resourceful with sound judgment and effective decision-making abilities Independent worker and able to work effectively on daily tasks without direct supervision Strong organization skills and ability to operate efficiently throughout daily tasks In general, owns issues through resolution although understands when to escalate a problem to another team member and whom to escalate too; accepts escalated issues; and mentors when appropriate Demonstrate empathy and professionalism with users at all times Work well with clients at all levels Operate with client satisfaction in mind Energy, enthusiasm and results-oriented EDUCATION, EXPERIENCE, & KNOWLEDGE: Related bachelor's degree or equivalent work experience 4+ years of Microsoft .NET programming experience Epicor application experience a plus WORK ENVIRONMENT/PHYSICAL DEMANDS: Use of computer and office equipment Ability to remain calm in stressful situations Performs all administrative functions expected at this level ADDITIONAL REQUIREMENTS: Ability to schedule for evening or weekend work occasionally Valid driver's license in your state of residence and reliable personal vehicle Compensation details: 00 Yearly Salary PIc08683a6d6-
Description: About Us: Active Security designs, develops, implements, and sustains advanced C5ISR and security solutions to enhance defense and mission capabilities, addressing threats across physical, electronic, cyber, and communications security for commercial and U.S. Government clients. Our Electronics Technicians are essential in installing, programming, maintaining, and repairing these complex systems in high-security environments, ensuring compliance with codes, client specifications, and internal standards. With a structured career path, technicians have continuous opportunities for skills development, advancing from foundational technical expertise to leadership roles. Job Summary: As a senior technician, the Lead Security Systems Technician is responsible for independent field operations, technical oversight, and project leadership. This role demands advanced technical expertise, as well as organizational and leadership skills to manage project sites, ensure quality, and oversee field teams. The Lead Security Systems Technician is the key technical liaison between Active Security's project teams and clients. Requirements: Responsibilities: System Installation & Maintenance: Install, configure, and maintain complex security system components and infrastructure with minimal supervision, ensuring that systems function according to design specifications. Project Leadership: Manage site safety, quality, and schedule adherence, ensuring all activities comply with design specifications and authority requirements. Team Oversight & Mentorship: Supervise and mentor teams of up to five junior and intermediate technicians, ensuring training, task completion, and alignment with project goals and standards. Technical Leadership: Perform complex troubleshooting and diagnostics, including advanced programming and system integration tasks, independently and collaboratively resolving complex issues on-site. Customer & Project Coordination: Serve as the primary on-site contact for clients and communicate effectively with project managers, engineers, and other stakeholders. Documentation: Complete required job documentation and ensure compliance with industry and internal standards such as ISO-9001, CMMI II, and DCAA. Qualifications: Education & Skills: Graduate; ability to work in a team environment; completion of at least four industry certifications in electronic security and systems integration. Experience: Minimum of 5 years in electronic security, including systems integration, administration, and advanced troubleshooting, with a focus on compliance and adherence to government and independent standards. Professional Development: Strong commitment to ongoing education in compliance, industry advancements, complex programming, and project management practices. Travel Ability: Ability to travel to projects and stay overnight for varying lengths of time. Physical Demands & Work Environment: The role demands a high level of professionalism, adaptability, and organizational skills. Technicians must handle prolonged tasks, ability to handle up to 50 pounds, ability to work at heights, and work in diverse environments. This role may involve exposure to varying weather conditions and requires adherence to safety protocols. The position requires maintaining company-issued tools, vehicles, and equipment. General Requirements for All Levels: Communication: Strong oral and written skills to interact with peers, supervisors, and clients. Analytical Skills: Detail-oriented, capable of diagnosing and solving problems. Screening Requirements: Candidates must pass a background check, have a valid driver's license, and be eligible for U.S. Government Security Clearance. Compensation details: 35-48 Hourly Wage PIdac9087b6-
08/05/2026
Full time
Description: About Us: Active Security designs, develops, implements, and sustains advanced C5ISR and security solutions to enhance defense and mission capabilities, addressing threats across physical, electronic, cyber, and communications security for commercial and U.S. Government clients. Our Electronics Technicians are essential in installing, programming, maintaining, and repairing these complex systems in high-security environments, ensuring compliance with codes, client specifications, and internal standards. With a structured career path, technicians have continuous opportunities for skills development, advancing from foundational technical expertise to leadership roles. Job Summary: As a senior technician, the Lead Security Systems Technician is responsible for independent field operations, technical oversight, and project leadership. This role demands advanced technical expertise, as well as organizational and leadership skills to manage project sites, ensure quality, and oversee field teams. The Lead Security Systems Technician is the key technical liaison between Active Security's project teams and clients. Requirements: Responsibilities: System Installation & Maintenance: Install, configure, and maintain complex security system components and infrastructure with minimal supervision, ensuring that systems function according to design specifications. Project Leadership: Manage site safety, quality, and schedule adherence, ensuring all activities comply with design specifications and authority requirements. Team Oversight & Mentorship: Supervise and mentor teams of up to five junior and intermediate technicians, ensuring training, task completion, and alignment with project goals and standards. Technical Leadership: Perform complex troubleshooting and diagnostics, including advanced programming and system integration tasks, independently and collaboratively resolving complex issues on-site. Customer & Project Coordination: Serve as the primary on-site contact for clients and communicate effectively with project managers, engineers, and other stakeholders. Documentation: Complete required job documentation and ensure compliance with industry and internal standards such as ISO-9001, CMMI II, and DCAA. Qualifications: Education & Skills: Graduate; ability to work in a team environment; completion of at least four industry certifications in electronic security and systems integration. Experience: Minimum of 5 years in electronic security, including systems integration, administration, and advanced troubleshooting, with a focus on compliance and adherence to government and independent standards. Professional Development: Strong commitment to ongoing education in compliance, industry advancements, complex programming, and project management practices. Travel Ability: Ability to travel to projects and stay overnight for varying lengths of time. Physical Demands & Work Environment: The role demands a high level of professionalism, adaptability, and organizational skills. Technicians must handle prolonged tasks, ability to handle up to 50 pounds, ability to work at heights, and work in diverse environments. This role may involve exposure to varying weather conditions and requires adherence to safety protocols. The position requires maintaining company-issued tools, vehicles, and equipment. General Requirements for All Levels: Communication: Strong oral and written skills to interact with peers, supervisors, and clients. Analytical Skills: Detail-oriented, capable of diagnosing and solving problems. Screening Requirements: Candidates must pass a background check, have a valid driver's license, and be eligible for U.S. Government Security Clearance. Compensation details: 35-48 Hourly Wage PIdac9087b6-
Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description We're scaling the deployment of critical infrastructure monitoring devices to detect real-world fault events that lead to wildfires. The platform you'll build and operate ingests millions of events per day from devices in the field, powers customer-facing dashboards and alerting, and supports the data science work that turns raw signals into grid intelligence. You will own AWS infrastructure, Kubernetes (EKS), CI/CD, and observability end-to-end, partnering with our Cloud Security team to keep the platform safe and compliant, and with backend, firmware, and data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come. Responsibilities Design, build, and operate scalable, secure, and highly available cloud infrastructure across AWS. Own and evolve our Kubernetes platform, enabling reliable application deployment and operations through GitOps best practices. Build and maintain CI/CD systems that improve developer velocity, release quality, and operational reliability. Manage and optimize event-driven infrastructure powering high-volume telemetry and device data pipelines. Define and maintain Infrastructure as Code standards, ensuring consistency, repeatability, and scalability across environments. Develop and enhance observability, monitoring, and incident response capabilities to support reliable production operations. Partner closely with Security and Engineering teams to strengthen platform security, access management, and operational resilience. Troubleshoot complex production issues, drive root cause analysis, and turn lessons learned into automation, tooling, and operational improvements. Required Skills 5+ years of experience in DevOps, SRE, or Platform Engineering operating production AWS environments Deep expertise with Kubernetes (EKS preferred), GitOps workflows (Argo CD/Flux), and Infrastructure as Code (Terraform) Strong experience building and maintaining CI/CD pipelines, ideally with GitHub Actions Hands-on experience operating distributed systems and cloud-native platforms (e.g., Kafka/MSK) Solid understanding of networking, DNS, TLS, identity/access management, and cloud security best practices Experience with observability, monitoring, and logging tools such as Grafana, Prometheus, Loki, or similar Strong Linux, scripting, and troubleshooting skills with the ability to debug complex production issues end-to-end Bonus Skills Experience operating Apollo Router / GraphQL federation gateways in production. Experience operating Argo Workflows or similar Kubernetes-native job / pipeline runners in production. Familiarity with Databricks or ML Ops pipelines for data and model deployment. Experience designing, operating, and exercising Disaster Recovery (DR) environments, including cross-region replication, backups, and tested failover runbooks. Experience with Tailscale or other zero-trust networking tools. Experience supporting IoT / embedded fleets at scale, including secure device-to-cloud connectivity. Experience in high-growth startup environments where you must wear many hats. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training
08/05/2026
Full time
Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description We're scaling the deployment of critical infrastructure monitoring devices to detect real-world fault events that lead to wildfires. The platform you'll build and operate ingests millions of events per day from devices in the field, powers customer-facing dashboards and alerting, and supports the data science work that turns raw signals into grid intelligence. You will own AWS infrastructure, Kubernetes (EKS), CI/CD, and observability end-to-end, partnering with our Cloud Security team to keep the platform safe and compliant, and with backend, firmware, and data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come. Responsibilities Design, build, and operate scalable, secure, and highly available cloud infrastructure across AWS. Own and evolve our Kubernetes platform, enabling reliable application deployment and operations through GitOps best practices. Build and maintain CI/CD systems that improve developer velocity, release quality, and operational reliability. Manage and optimize event-driven infrastructure powering high-volume telemetry and device data pipelines. Define and maintain Infrastructure as Code standards, ensuring consistency, repeatability, and scalability across environments. Develop and enhance observability, monitoring, and incident response capabilities to support reliable production operations. Partner closely with Security and Engineering teams to strengthen platform security, access management, and operational resilience. Troubleshoot complex production issues, drive root cause analysis, and turn lessons learned into automation, tooling, and operational improvements. Required Skills 5+ years of experience in DevOps, SRE, or Platform Engineering operating production AWS environments Deep expertise with Kubernetes (EKS preferred), GitOps workflows (Argo CD/Flux), and Infrastructure as Code (Terraform) Strong experience building and maintaining CI/CD pipelines, ideally with GitHub Actions Hands-on experience operating distributed systems and cloud-native platforms (e.g., Kafka/MSK) Solid understanding of networking, DNS, TLS, identity/access management, and cloud security best practices Experience with observability, monitoring, and logging tools such as Grafana, Prometheus, Loki, or similar Strong Linux, scripting, and troubleshooting skills with the ability to debug complex production issues end-to-end Bonus Skills Experience operating Apollo Router / GraphQL federation gateways in production. Experience operating Argo Workflows or similar Kubernetes-native job / pipeline runners in production. Familiarity with Databricks or ML Ops pipelines for data and model deployment. Experience designing, operating, and exercising Disaster Recovery (DR) environments, including cross-region replication, backups, and tested failover runbooks. Experience with Tailscale or other zero-trust networking tools. Experience supporting IoT / embedded fleets at scale, including secure device-to-cloud connectivity. Experience in high-growth startup environments where you must wear many hats. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training
Responsibilities: USRC's greatest strength in being a leader in the dialysis industry is our ability to recognize and celebrate the differences in our diverse workforce. We strongly believe in recruiting top talent and creating a diverse and inclusive work climate and culture at all levels of our organization. SUMMARY The Systems Engineer II will play a key role in the planning, design, and implementation of complex systems solutions. This intermediate-level position requires a deeper understanding of systems architecture and a proven track record of successful project execution. Essential Duties and Responsibilities include the following. Other duties and tasks may be assigned. Design and implement scalable systems infrastructure. Lead the design and implementation of high-availability systems and failover solutions. Evaluate and recommend third-party tools and solutions to improve system efficiency. Develop and maintain scripts and automation for routine tasks. Provide technical expertise in areas like cloud computing, containerization, or DevOps practices. Collaborate with security teams to ensure systems comply with security policies and regulations. Conduct system performance analysis and propose optimization strategies. Lead system integration projects from inception to completion. Troubleshoot and resolve complex technical issues. Provide mentorship and guidance to junior engineers. Develop and maintain documentation for systems and processes. Collaborate with cross-functional teams on strategic initiatives. Stay current with industry best practices and emerging technologies. Actively promotes GUEST customer service standards; develops effective relationships at all levels of the organization. Participates in team concepts and promote a team effort; performs duties in accordance with company policies and procedures. Regular and reliable attendance is required for the job. Company (Career Site Brand): U.S. Renal Care
08/05/2026
Full time
Responsibilities: USRC's greatest strength in being a leader in the dialysis industry is our ability to recognize and celebrate the differences in our diverse workforce. We strongly believe in recruiting top talent and creating a diverse and inclusive work climate and culture at all levels of our organization. SUMMARY The Systems Engineer II will play a key role in the planning, design, and implementation of complex systems solutions. This intermediate-level position requires a deeper understanding of systems architecture and a proven track record of successful project execution. Essential Duties and Responsibilities include the following. Other duties and tasks may be assigned. Design and implement scalable systems infrastructure. Lead the design and implementation of high-availability systems and failover solutions. Evaluate and recommend third-party tools and solutions to improve system efficiency. Develop and maintain scripts and automation for routine tasks. Provide technical expertise in areas like cloud computing, containerization, or DevOps practices. Collaborate with security teams to ensure systems comply with security policies and regulations. Conduct system performance analysis and propose optimization strategies. Lead system integration projects from inception to completion. Troubleshoot and resolve complex technical issues. Provide mentorship and guidance to junior engineers. Develop and maintain documentation for systems and processes. Collaborate with cross-functional teams on strategic initiatives. Stay current with industry best practices and emerging technologies. Actively promotes GUEST customer service standards; develops effective relationships at all levels of the organization. Participates in team concepts and promote a team effort; performs duties in accordance with company policies and procedures. Regular and reliable attendance is required for the job. Company (Career Site Brand): U.S. Renal Care
Job Description Job Description About Zoox Zoox is an autonomous ride-hailing company building the world's first purpose-built robotaxi - fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Responsibilities Execute and coordinate validation cycles for Zoox's Manufacturing test infrastructure with a focus on driving test infra stability Act as on-call support for the factory, representing the HWSI-FW team as you document, triage, characterize and report stability issues in order to unblock factory operations Program Requirements Currently enrolled in a B.S. or M.S. in Automotive Engineering, Robotics, Systems Engineering, Mechatronics, or a relevant technical field Available to commit to a minimum three-month assignment Able to commit to a minimum of 20 hours per week Able to work on-site at one of our office locations Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations Qualifications Ability to understand and navigate complex technical systems Ability to grapple with ambiguity and collaborate with cross-functional teams Experience with Linux, Git, and Jira Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems Experience with simulation environments and hardware-in-the-loop (HIL) testing We want to be transparent: this is not an internship. The Part-Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment. Compensation for this role is $30/hour. This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted, and benefits eligibility is determined by the vendor. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
08/05/2026
Full time
Job Description Job Description About Zoox Zoox is an autonomous ride-hailing company building the world's first purpose-built robotaxi - fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Responsibilities Execute and coordinate validation cycles for Zoox's Manufacturing test infrastructure with a focus on driving test infra stability Act as on-call support for the factory, representing the HWSI-FW team as you document, triage, characterize and report stability issues in order to unblock factory operations Program Requirements Currently enrolled in a B.S. or M.S. in Automotive Engineering, Robotics, Systems Engineering, Mechatronics, or a relevant technical field Available to commit to a minimum three-month assignment Able to commit to a minimum of 20 hours per week Able to work on-site at one of our office locations Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations Qualifications Ability to understand and navigate complex technical systems Ability to grapple with ambiguity and collaborate with cross-functional teams Experience with Linux, Git, and Jira Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems Experience with simulation environments and hardware-in-the-loop (HIL) testing We want to be transparent: this is not an internship. The Part-Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment. Compensation for this role is $30/hour. This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted, and benefits eligibility is determined by the vendor. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Description This position is ideal for senior-level professionals to join the Finance Systems & Reporting team as a Sr. Finance Reporting Engineer. The Finance Engineer will be reporting to the Director, Global Finance Systems & Reporting based in San Jose, California (US) and would strategically engage with key members of finance function defining and delivering on the enterprise roadmap projects as well as own and help resolve day to day tactical problems and challenges. The Sr. Finance Reporting Engineer will be responsible for designing, developing, and maintaining enterprise financial reporting and analytics solutions. This role focuses on delivering accurate, scalable, and automated reporting capabilities by leveraging SAP technologies, cloud-based data platforms, and business intelligence tools to support strategic decision-making across the organization. Role expectations Lead the financial reporting life cycle end-to-end that includes conducting requirement gathering sessions with business, design the reporting solution, development, deployment, maintenance and training of the reporting solution to broader regional audience. Oversee the design and development for the planning system, OneStream, and be prepared to use other planning and reporting tools used at Align, including ERP, Consolidation Planning, and Business Intelligence software packages. Support financial close activities through data reconciliation, validation, and coordination of data loads for month-end, quarter-end, and year-end reporting. Responsible for designing, developing, and maintaining scalable data pipelines and integration workflows to ensure accurate and efficient data processing across systems. Monitor data flows, task chains, and job performance; implementing data quality controls and validation processes; troubleshooting and resolving data load issues; and optimizing data transformation and loading performance. Develop and troubleshoot a variety of Onestream components that include transformation rules, security models, custom dashboards, reports, business rules, and member formulas, with a focus on enhancing system functionality and efficiency. Lead the collaboration and development efforts for various financial Power BI dashboards required for finance, that will make analytics easier and reporting simplified for business at the same time maintaining data accuracy standards as required for financial reporting. Acting as a liaison between business and IT groups. Work with IT to help them understand business requirements and translate it in technical terminologies for them. Help business understand the technical solutions deployed and train them on how they can effectively use it for their needs. Identifying the gaps with existing solutions in place, finding out solutions to resolve them and work with IT/business to get them implemented. Lead the integration testing and user acceptance testing with business and IT collaboratively. Key Personnel responsible for financial close reporting of critical reports Key person responsible for ensuring financial data integrity and completeness for all finance data that will be needed for financial close reporting. Comply with data security and access control standards, maintains thorough process documentation, and provides production support, including participation in on-call rotations with the offshore team when required. Assist with special projects and ad-hoc requests, as necessary. What we're looking for Requires Bachelor's degree in CS, Information Technology, or a related field 12+ years of experience in Data loading and Monitoring systems to support the Finance organization. Strong understanding of financial reporting, FP&A, close processes, and management reporting. Hands-on experience with SAP Datasphere for data modeling, data warehousing, integration, and governance across SAP and non-SAP landscapes. Strong understanding of SAP RTR business processes, hands on experience working with FI-GL, COPA, AR/AP, Should be a self-starter who is able to work with minimal direction and exercises considerable latitude in determining objectives and approaches to assignments. Hands-on experience working with Onestream planning system or similar planning platforms such as Anaplan, Planful. Hands-on experience with SQL and object-oriented (VB.Net, C#) coding experience is preferred. The candidate will serve as a liaison between the finance user group, corporate report development team, and IT. Should be a team player and possess good interpersonal and communication skills, reflecting an ability to be patient and outgoing with people. Should be highly motivated, result focused, and act with a high sense of urgency. Should possess excellent planning and prioritization skills with the ability to multitask and maintain by adapting to change. Complementary skills Advanced Microsoft Outlook, Word, Excel and PowerPoint skills. Must have the ability to independently create spreadsheets and perform quantitative analysis. Prior experience working with Azure Datalake, S/4 HANA, SAP-ECC or SAP BW is a plus. Pay Transparency If provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. General Description of All Benefits We are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment Back-up Child/Elder Care and access to a caregiving concierge Family Forming Benefits - Available to Employees, and their spouse or domestic partner, covered under one of Align's health plans Breast Milk Delivery and Lactation Support Services Employee Assistance Program Hinge Health Virtual Physical Therapy - Available to all employees and eligible dependents (age 18+) enrolled in an Align medical Plan Employee benefits. Align offers its employees: Short-term and long-term disability insurance in accordance with those plans. Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans. Flexible Spending Accounts- Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan. 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years - 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options. Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible). Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure. Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours. 11 Company-designated paid holidays throughout the year. If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law. Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.
08/05/2026
Full time
Job Description Job Description Description This position is ideal for senior-level professionals to join the Finance Systems & Reporting team as a Sr. Finance Reporting Engineer. The Finance Engineer will be reporting to the Director, Global Finance Systems & Reporting based in San Jose, California (US) and would strategically engage with key members of finance function defining and delivering on the enterprise roadmap projects as well as own and help resolve day to day tactical problems and challenges. The Sr. Finance Reporting Engineer will be responsible for designing, developing, and maintaining enterprise financial reporting and analytics solutions. This role focuses on delivering accurate, scalable, and automated reporting capabilities by leveraging SAP technologies, cloud-based data platforms, and business intelligence tools to support strategic decision-making across the organization. Role expectations Lead the financial reporting life cycle end-to-end that includes conducting requirement gathering sessions with business, design the reporting solution, development, deployment, maintenance and training of the reporting solution to broader regional audience. Oversee the design and development for the planning system, OneStream, and be prepared to use other planning and reporting tools used at Align, including ERP, Consolidation Planning, and Business Intelligence software packages. Support financial close activities through data reconciliation, validation, and coordination of data loads for month-end, quarter-end, and year-end reporting. Responsible for designing, developing, and maintaining scalable data pipelines and integration workflows to ensure accurate and efficient data processing across systems. Monitor data flows, task chains, and job performance; implementing data quality controls and validation processes; troubleshooting and resolving data load issues; and optimizing data transformation and loading performance. Develop and troubleshoot a variety of Onestream components that include transformation rules, security models, custom dashboards, reports, business rules, and member formulas, with a focus on enhancing system functionality and efficiency. Lead the collaboration and development efforts for various financial Power BI dashboards required for finance, that will make analytics easier and reporting simplified for business at the same time maintaining data accuracy standards as required for financial reporting. Acting as a liaison between business and IT groups. Work with IT to help them understand business requirements and translate it in technical terminologies for them. Help business understand the technical solutions deployed and train them on how they can effectively use it for their needs. Identifying the gaps with existing solutions in place, finding out solutions to resolve them and work with IT/business to get them implemented. Lead the integration testing and user acceptance testing with business and IT collaboratively. Key Personnel responsible for financial close reporting of critical reports Key person responsible for ensuring financial data integrity and completeness for all finance data that will be needed for financial close reporting. Comply with data security and access control standards, maintains thorough process documentation, and provides production support, including participation in on-call rotations with the offshore team when required. Assist with special projects and ad-hoc requests, as necessary. What we're looking for Requires Bachelor's degree in CS, Information Technology, or a related field 12+ years of experience in Data loading and Monitoring systems to support the Finance organization. Strong understanding of financial reporting, FP&A, close processes, and management reporting. Hands-on experience with SAP Datasphere for data modeling, data warehousing, integration, and governance across SAP and non-SAP landscapes. Strong understanding of SAP RTR business processes, hands on experience working with FI-GL, COPA, AR/AP, Should be a self-starter who is able to work with minimal direction and exercises considerable latitude in determining objectives and approaches to assignments. Hands-on experience working with Onestream planning system or similar planning platforms such as Anaplan, Planful. Hands-on experience with SQL and object-oriented (VB.Net, C#) coding experience is preferred. The candidate will serve as a liaison between the finance user group, corporate report development team, and IT. Should be a team player and possess good interpersonal and communication skills, reflecting an ability to be patient and outgoing with people. Should be highly motivated, result focused, and act with a high sense of urgency. Should possess excellent planning and prioritization skills with the ability to multitask and maintain by adapting to change. Complementary skills Advanced Microsoft Outlook, Word, Excel and PowerPoint skills. Must have the ability to independently create spreadsheets and perform quantitative analysis. Prior experience working with Azure Datalake, S/4 HANA, SAP-ECC or SAP BW is a plus. Pay Transparency If provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. General Description of All Benefits We are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment Back-up Child/Elder Care and access to a caregiving concierge Family Forming Benefits - Available to Employees, and their spouse or domestic partner, covered under one of Align's health plans Breast Milk Delivery and Lactation Support Services Employee Assistance Program Hinge Health Virtual Physical Therapy - Available to all employees and eligible dependents (age 18+) enrolled in an Align medical Plan Employee benefits. Align offers its employees: Short-term and long-term disability insurance in accordance with those plans. Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans. Flexible Spending Accounts- Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan. 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years - 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options. Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible). Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure. Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours. 11 Company-designated paid holidays throughout the year. If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law. Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.
Job Description Job Description At ASAPP, our mission is simple: deliver the best AI-powered customer experience-faster than anyone else. To achieve that, we're guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it's Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India-embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we'd love to talk. This is more than a job-it's a journey. Site Reliability Engineers (SREs) are responsible for the overall performance and reliability of ASAPP's infrastructure and products. The team owns the entire infrastructure stacks. SREs design and implement the tools that automate building reliable and performant systems. We emphasize building tools over manual processes. We implement, not administer. We're obsessed with automation, not repetition. Our job is to focus on building reliable infrastructure and tools for our product teams so that they can solve customer problems and deliver new features, not reinvent platforms. What you'll do Work with product engineering teams on service architecture and implementation Deliver Infrastructure configuration as code and automate everything Direct and implement monitoring and alerting systems to support rapid problem diagnosis Perform Root Cause Analysis and design and deliver resolutions Work on our Kubernetes / AWS infrastructure to support our product engineers Design secure and performant networking solutions in our production systems What you'll need +4 years of relevant experience bringing software to production at high scale Participation in on-call rotation, triaging and addressing production issues Obsession with automation and instrumentation Understanding of complex systems and failure scenarios Excellent communication skills Knowledge of AWS services, containers and container management frameworks Familiarity with Message Bus based systems and distributed architectures Proficiency in Terraform , Python and/or Go What we'd like to see BS or MS degree in the Computer Science field, or equivalent hands-on experience. Experience in product oriented environments Scalable distributed applications experience Benefits Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mobile phone reimbursement Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) and unlimited sick leave Compensation is a combination of salary and performance bonus Separately, you will also receive an equity grant ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
08/05/2026
Full time
Job Description Job Description At ASAPP, our mission is simple: deliver the best AI-powered customer experience-faster than anyone else. To achieve that, we're guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it's Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India-embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we'd love to talk. This is more than a job-it's a journey. Site Reliability Engineers (SREs) are responsible for the overall performance and reliability of ASAPP's infrastructure and products. The team owns the entire infrastructure stacks. SREs design and implement the tools that automate building reliable and performant systems. We emphasize building tools over manual processes. We implement, not administer. We're obsessed with automation, not repetition. Our job is to focus on building reliable infrastructure and tools for our product teams so that they can solve customer problems and deliver new features, not reinvent platforms. What you'll do Work with product engineering teams on service architecture and implementation Deliver Infrastructure configuration as code and automate everything Direct and implement monitoring and alerting systems to support rapid problem diagnosis Perform Root Cause Analysis and design and deliver resolutions Work on our Kubernetes / AWS infrastructure to support our product engineers Design secure and performant networking solutions in our production systems What you'll need +4 years of relevant experience bringing software to production at high scale Participation in on-call rotation, triaging and addressing production issues Obsession with automation and instrumentation Understanding of complex systems and failure scenarios Excellent communication skills Knowledge of AWS services, containers and container management frameworks Familiarity with Message Bus based systems and distributed architectures Proficiency in Terraform , Python and/or Go What we'd like to see BS or MS degree in the Computer Science field, or equivalent hands-on experience. Experience in product oriented environments Scalable distributed applications experience Benefits Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mobile phone reimbursement Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) and unlimited sick leave Compensation is a combination of salary and performance bonus Separately, you will also receive an equity grant ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/05/2026
Full time
Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description Wanna join the adventure? As a Site Reliability Engineer with strong networking skills in our Cloud Infrastructure (SRE) team, you help the team own the networks that keep Loft running: cloud networking, VPN and site-to-site connectivity, segmentation, and routing across our offices, test equipment, and ground stations. You keep them reliable, observable, and secure as we scale. You coordinate with IT on the network components that interface with the physical infrastructure used by employees. You coordinate with the Test-Infrastructure team to ensure our test equipment is securely accessible. You'll work the way an SRE team works: defining reliability in measurable terms (SLOs for connectivity and ground-station availability), instrumenting the systems that prove it, managing the network as code, and automating away toil so on-call load doesn't grow with the fleet. Beyond the network, you'll help the SRE team across its broader scope by participating in all the daily work just like a regular SRE: platform reliability and expansion, incident response, planning and user support. About this role: Participate in the design and implement Loft's network architecture ; cloud networking, VPN/site-to-site, segmentation, and routing across offices, ground stations, and test equipment Tighten the network security posture : segmentation, access, and connectivity hardening Manage the network as code : IaC provisioning, CI/CD, and GitOps Define SLOs for connectivity and ground-station availability, and own the observability (metrics, logs, tracing) that measures them; Grafana-centric stacks a plus Investigate and resolve reliability issues with root-cause analysis and durable fixes; reduce operational toil through automation Contribute to the SRE team's broader reliability and incident-response work, fostering the SatDevOps culture that power Loft's DNA Must haves: 4-5 years in network engineering , with deep hands-on networking: routing, VPN/site-to-site, segmentation, DNS, firewalling Hands-on Software-Defined Networking : comfortable managing networks programmatically / as code rather than appliance-by-appliance (everything we run is IaC) Strong public-cloud networking experience, ideally GCP (VPCs, peering, hybrid connectivity) Comfortable operating on a Kuburnetes platform (k8s, Docker) and occasionally writing code Infrastructure-as-Code (Terraform or similar) and a CI/CD-driven, GitOps workflow An SRE mindset : SLOs, observability, and reducing toil through automation Ability to debug connectivity issues in a complex, hybrid network environment Degree in Computer Science or a related field, or equivalent practical experience Nice to haves: Network certifications (CCNP or similar) Hands-on experience with GitOps frameworks (ArgoCD, FluxCD) Interest or experience in FinOps and cost-optimized architectures Familiarity with security practices : vulnerability scanning, threat detection, risk mitigation Understanding of orchestration in resource-constrained environments , like space systems Some of our awesome benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks in office International exposure to our team in France Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable State law requires us to tell you the base compensation range for this role, which is $157,000- $239,000 per year . This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA u007C Golden, CO u007C and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English.
08/05/2026
Full time
Job Description Job Description Wanna join the adventure? As a Site Reliability Engineer with strong networking skills in our Cloud Infrastructure (SRE) team, you help the team own the networks that keep Loft running: cloud networking, VPN and site-to-site connectivity, segmentation, and routing across our offices, test equipment, and ground stations. You keep them reliable, observable, and secure as we scale. You coordinate with IT on the network components that interface with the physical infrastructure used by employees. You coordinate with the Test-Infrastructure team to ensure our test equipment is securely accessible. You'll work the way an SRE team works: defining reliability in measurable terms (SLOs for connectivity and ground-station availability), instrumenting the systems that prove it, managing the network as code, and automating away toil so on-call load doesn't grow with the fleet. Beyond the network, you'll help the SRE team across its broader scope by participating in all the daily work just like a regular SRE: platform reliability and expansion, incident response, planning and user support. About this role: Participate in the design and implement Loft's network architecture ; cloud networking, VPN/site-to-site, segmentation, and routing across offices, ground stations, and test equipment Tighten the network security posture : segmentation, access, and connectivity hardening Manage the network as code : IaC provisioning, CI/CD, and GitOps Define SLOs for connectivity and ground-station availability, and own the observability (metrics, logs, tracing) that measures them; Grafana-centric stacks a plus Investigate and resolve reliability issues with root-cause analysis and durable fixes; reduce operational toil through automation Contribute to the SRE team's broader reliability and incident-response work, fostering the SatDevOps culture that power Loft's DNA Must haves: 4-5 years in network engineering , with deep hands-on networking: routing, VPN/site-to-site, segmentation, DNS, firewalling Hands-on Software-Defined Networking : comfortable managing networks programmatically / as code rather than appliance-by-appliance (everything we run is IaC) Strong public-cloud networking experience, ideally GCP (VPCs, peering, hybrid connectivity) Comfortable operating on a Kuburnetes platform (k8s, Docker) and occasionally writing code Infrastructure-as-Code (Terraform or similar) and a CI/CD-driven, GitOps workflow An SRE mindset : SLOs, observability, and reducing toil through automation Ability to debug connectivity issues in a complex, hybrid network environment Degree in Computer Science or a related field, or equivalent practical experience Nice to haves: Network certifications (CCNP or similar) Hands-on experience with GitOps frameworks (ArgoCD, FluxCD) Interest or experience in FinOps and cost-optimized architectures Familiarity with security practices : vulnerability scanning, threat detection, risk mitigation Understanding of orchestration in resource-constrained environments , like space systems Some of our awesome benefits: 100% company-paid medical, dental, and vision insurance option for employees and dependents Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance Flexible Time Off policy for vacation and sick leave, and 12 paid holidays 401(k) plan and equity options Daily catered lunches and snacks in office International exposure to our team in France Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support Off-sites and many social events and celebrations Relocation assistance when applicable State law requires us to tell you the base compensation range for this role, which is $157,000- $239,000 per year . This is determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we evaluate individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented people tend to only apply when they meet 100% of the qualifications. At Loft, we value respectful debate and people who aren't afraid to challenge assumptions. We strongly encourage you to apply, even if you don't check all the boxes. Who We Are Loft: Space Made Simple. Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit. We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft's flight heritage and proven technologies enable customers to focus on their mission objectives. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA u007C Golden, CO u007C and Toulouse, France to meet accelerating demand for space infrastructure. As an international company your resume will be reviewed by people across our offices so please attach a copy in English.
Job Description Job Description Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. We are seeking a DevOps Engineer who is eager to have an immediate impact in establishing and building out our development, testing, and release platforms, taking us from square one to a sophisticated DevOps environment. You will be working with key engineering stakeholders across the company to ensure we are following test-and-release best practices, establishing best-in-class technology and tool stacks, and keeping our environments safe and secure from outside threats. What you will be doing: Design, deploy, and maintain highly-scalable, highly-available software systems in AWS Architect and manage containerized applications on Amazon EKS with focus on reliability and performance Build and maintain Infrastructure as Code using Terraform for AWS cloud resources Develop and optimize CI/CD pipelines for automated testing, deployment, and rollback capabilities Implement comprehensive monitoring, alerting, and observability solutions using CloudWatch, Prometheus, and Grafana Ensure system reliability through SLI/SLO definition, error budgets, and incident response procedures Collaborate directly with engineering teams to optimize application deployment and operations Manage deployments and scaling strategies to support mission-critical operations Automate and enforce cloud security, governance, and compliance controls Participate in on-call rotation and lead incident response for production level systems What you bring to this role: 5+ years of experience in SRE, DevOps, or Platform Engineering roles Proven experience designing and operating mission-critical, highly-available systems within AWS Advanced proficiency in Infrastructure as Code using Terraform (OpenTofu) Deep experience with Kubernetes, EKS, Helm, and container orchestration Strong CI/CD pipeline development and management experience (Bitbucket preferred) Proficiency in Python and Bash scripting for automation Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack) Knowledge of capacity planning and performance optimization Experience with database operations and scaling (RDS, Aurora, or similar) Extra bonus points for the following: AWS Solutions Architect Professional, Certified Kubernetes Administrator (CKA), or equivalent expertise Experience with incident management and post-mortem processes Experience with GitOps workflows and tools (ArgoCD, Flux) Knowledge of service mesh technologies (Istio, Linkerd) Experience with chaos engineering and disaster recovery planning Experience with Zero Trust Networking (ZTNA) or VPN solutions Background in aerospace, defense, or other mission-critical industries Strong intellectual curiosity and commitment to continuous learning Exceptional attention to detail and an ownership mentality The estimated range is meant to reflect an anticipated salary range for the position in question, which is based on market data and other factors, all of which are subject to change. Individual pay is based on location, skills and expertise, depth of relevant experience, and other relevant factors. For questions about this, please speak to the recruiter if you decide to apply for the role and are selected for an interview . This is a full time, exempt position, based out of our Saratoga office. The target base pay for this position is $100,000 - $170,000 annually. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used-so we're looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that's your experience - then we'll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: • An opportunity to really make a difference • Sustainability at our core • Fair and honest workplace • Innovative thinking is encouraged • Competitive salaries • Continuous learning and development • Health and wellness care options • Financial solutions for the future • Optional legal services (US only) • Paid holidays • Paid time off We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
08/05/2026
Full time
Job Description Job Description Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. We are seeking a DevOps Engineer who is eager to have an immediate impact in establishing and building out our development, testing, and release platforms, taking us from square one to a sophisticated DevOps environment. You will be working with key engineering stakeholders across the company to ensure we are following test-and-release best practices, establishing best-in-class technology and tool stacks, and keeping our environments safe and secure from outside threats. What you will be doing: Design, deploy, and maintain highly-scalable, highly-available software systems in AWS Architect and manage containerized applications on Amazon EKS with focus on reliability and performance Build and maintain Infrastructure as Code using Terraform for AWS cloud resources Develop and optimize CI/CD pipelines for automated testing, deployment, and rollback capabilities Implement comprehensive monitoring, alerting, and observability solutions using CloudWatch, Prometheus, and Grafana Ensure system reliability through SLI/SLO definition, error budgets, and incident response procedures Collaborate directly with engineering teams to optimize application deployment and operations Manage deployments and scaling strategies to support mission-critical operations Automate and enforce cloud security, governance, and compliance controls Participate in on-call rotation and lead incident response for production level systems What you bring to this role: 5+ years of experience in SRE, DevOps, or Platform Engineering roles Proven experience designing and operating mission-critical, highly-available systems within AWS Advanced proficiency in Infrastructure as Code using Terraform (OpenTofu) Deep experience with Kubernetes, EKS, Helm, and container orchestration Strong CI/CD pipeline development and management experience (Bitbucket preferred) Proficiency in Python and Bash scripting for automation Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack) Knowledge of capacity planning and performance optimization Experience with database operations and scaling (RDS, Aurora, or similar) Extra bonus points for the following: AWS Solutions Architect Professional, Certified Kubernetes Administrator (CKA), or equivalent expertise Experience with incident management and post-mortem processes Experience with GitOps workflows and tools (ArgoCD, Flux) Knowledge of service mesh technologies (Istio, Linkerd) Experience with chaos engineering and disaster recovery planning Experience with Zero Trust Networking (ZTNA) or VPN solutions Background in aerospace, defense, or other mission-critical industries Strong intellectual curiosity and commitment to continuous learning Exceptional attention to detail and an ownership mentality The estimated range is meant to reflect an anticipated salary range for the position in question, which is based on market data and other factors, all of which are subject to change. Individual pay is based on location, skills and expertise, depth of relevant experience, and other relevant factors. For questions about this, please speak to the recruiter if you decide to apply for the role and are selected for an interview . This is a full time, exempt position, based out of our Saratoga office. The target base pay for this position is $100,000 - $170,000 annually. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used-so we're looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that's your experience - then we'll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: • An opportunity to really make a difference • Sustainability at our core • Fair and honest workplace • Innovative thinking is encouraged • Competitive salaries • Continuous learning and development • Health and wellness care options • Financial solutions for the future • Optional legal services (US only) • Paid holidays • Paid time off We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow us on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Senior Software Engineer - Lifecycle Management will work collaboratively with a team to support medical device products from the transfer to production through product end of life. The Engineer will have a technical leadership role for supporting components and subassemblies of the body contouring products and will closely interact with a multi-disciplined Engineering team consisting of electrical, software and mechanical groups. The individual works within cross-functional teams and provides software requirements, design and implementation for current generation software and systems projects. He or she develops a thorough understanding of design requirements to ensure that the system's objectives are properly defined and ultimately achieved. This role is focused on continuous improvement of existing products. This individual must have strong technical skills complemented by great communications and teamwork qualities. Experience in a software development background in a structured/regulated environment such as medical device development is required. Responsibilities Lead and manage small scale projects for on time deliverable. Contribute to requirements definition at the functional level and work with cross functional groups. Perform in-depth data analysis and drive improvements to software or product quality. Design, develop, and support embedded, Windows embedded and desktop applications. Participate in software work product reviews/inspections. Interface, integrate, troubleshoot and debug software and hardware components. Generate required product development documentation including functional specifications and design documents. Execute manual or automated tests for verification and validation of software applications. Design, code and validate software tools for use in the verification and manufacturing of the product. Work with Software Verification, Product Support and Manufacturing to resolve software issues. Drive improvements to process quality. Responsible for performing all duties in compliance with FDA's Quality System Regulation (QSR), ISO13485, the Canadian Medical Device Regulations, and all other international regulatory requirements with which AbbVie complies. Qualifications BS in Software Engineering or equivalent degree and/or experience. Advanced degree desirable. Minimum of 8+ years experience in engineering design and at least 5 years of experience with embedded Windows programming with C# and . NET. At least 3 years of experience in medical devices or similarly controlled software environment preferred. Experience in developing event driven, multi-threaded Windows-based applications using .NET Framework and C# preferred. Required experience in structured software and systems development and integration, including experience in software design methodologies, design patterns, component-oriented software architecture to produce high-quality software applications. Experience with common protocols: RS232, SPI, USB a plus. Knowledge of PID control algorithm. Knowledge of software life cycle processes used in regulated development environments such as IEC 62304. Result-oriented, self-motivated and able to participate as both a team member and an individual contributor. Proficiency in MS Office, including Word and Excel. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
08/05/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow us on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Senior Software Engineer - Lifecycle Management will work collaboratively with a team to support medical device products from the transfer to production through product end of life. The Engineer will have a technical leadership role for supporting components and subassemblies of the body contouring products and will closely interact with a multi-disciplined Engineering team consisting of electrical, software and mechanical groups. The individual works within cross-functional teams and provides software requirements, design and implementation for current generation software and systems projects. He or she develops a thorough understanding of design requirements to ensure that the system's objectives are properly defined and ultimately achieved. This role is focused on continuous improvement of existing products. This individual must have strong technical skills complemented by great communications and teamwork qualities. Experience in a software development background in a structured/regulated environment such as medical device development is required. Responsibilities Lead and manage small scale projects for on time deliverable. Contribute to requirements definition at the functional level and work with cross functional groups. Perform in-depth data analysis and drive improvements to software or product quality. Design, develop, and support embedded, Windows embedded and desktop applications. Participate in software work product reviews/inspections. Interface, integrate, troubleshoot and debug software and hardware components. Generate required product development documentation including functional specifications and design documents. Execute manual or automated tests for verification and validation of software applications. Design, code and validate software tools for use in the verification and manufacturing of the product. Work with Software Verification, Product Support and Manufacturing to resolve software issues. Drive improvements to process quality. Responsible for performing all duties in compliance with FDA's Quality System Regulation (QSR), ISO13485, the Canadian Medical Device Regulations, and all other international regulatory requirements with which AbbVie complies. Qualifications BS in Software Engineering or equivalent degree and/or experience. Advanced degree desirable. Minimum of 8+ years experience in engineering design and at least 5 years of experience with embedded Windows programming with C# and . NET. At least 3 years of experience in medical devices or similarly controlled software environment preferred. Experience in developing event driven, multi-threaded Windows-based applications using .NET Framework and C# preferred. Required experience in structured software and systems development and integration, including experience in software design methodologies, design patterns, component-oriented software architecture to produce high-quality software applications. Experience with common protocols: RS232, SPI, USB a plus. Knowledge of PID control algorithm. Knowledge of software life cycle processes used in regulated development environments such as IEC 62304. Result-oriented, self-motivated and able to participate as both a team member and an individual contributor. Proficiency in MS Office, including Word and Excel. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
Sr. Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/05/2026
Full time
Sr. Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/05/2026
Full time
Senior Lead AI Engineer (FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description Senior Site Reliability Engineer (Payments Infrastructure) Kody is seeking a Senior Site Reliability Engineer to ensure the reliability, availability, scalability, and operational excellence of our global payment platform. You will own production observability, incident response, service-level management, and cloud infrastructure reliability across mission-critical payment processing systems operating in Europe, Asia, and North America. Responsibilities Participate in a follow-the-sun production on-call rotation as a primary incident responder. Diagnose, triage, mitigate, and coordinate resolution of production incidents across payment services, Kubernetes platforms, databases, messaging systems, and cloud infrastructure. Define and maintain SLOs, SLIs, error budgets, alerting standards, and operational readiness processes. Drive reliability improvements through automation, observability, capacity planning, performance optimization, and post-incident reviews. Partner with engineering teams to improve resilience, security, and operational maturity in PCI-DSS-regulated environments. Lead incident management during SEV1/SEV2 events and improve response effectiveness and MTTR. Cross-Border Collaboration: Act as a key technical bridge between our US operations and international engineering hubs, leveraging bilingual communication to streamline complex technical alignment. Requirements 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Infrastructure roles supporting mission-critical production systems. Strong hands-on experience with AWS, Kubernetes (EKS), Terraform, PostgreSQL, Redis, Kafka, Linux, networking, and modern observability platforms. Deep understanding of distributed systems, cloud-native architectures, high availability, disaster recovery, capacity planning, and performance optimization. Proven experience operating payment, banking, fintech, or other highly regulated systems with stringent security, compliance, and uptime requirements. Strong knowledge of SRE principles, including SLOs, SLIs, error budgets, incident management, alert governance, and operational excellence. Leadership & Operational Excellence Demonstrates strong ownership and accountability, taking end-to-end responsibility for service reliability and customer impact. Possesses a strong sense of urgency during production incidents while maintaining sound judgment and structured decision-making under pressure. Applies a systematic and methodical approach to troubleshooting, root-cause analysis, and incident resolution in complex distributed environments. Data-driven mindset with the ability to leverage metrics, telemetry, trends, and service-level indicators to prioritize reliability investments and operational improvements. Continuously drives engineering excellence through iterative improvement, automation, standardization, and elimination of operational toil. Proven ability to lead cross-functional incident response efforts, coordinate stakeholders, and communicate effectively during high-severity production events. Champions a culture of operational readiness, continuous learning, post-incident improvement, and blameless accountability. Demonstrates strong mentoring and technical leadership skills, influencing engineering teams to build reliable, scalable, and resilient systems by design. Benefits Competitive packages aligned with California market standards Lead a dynamic and innovative team in a very rapidly growing company Collaborative, inclusive environment where your contributions are recognized and valued
08/05/2026
Full time
Job Description Job Description Senior Site Reliability Engineer (Payments Infrastructure) Kody is seeking a Senior Site Reliability Engineer to ensure the reliability, availability, scalability, and operational excellence of our global payment platform. You will own production observability, incident response, service-level management, and cloud infrastructure reliability across mission-critical payment processing systems operating in Europe, Asia, and North America. Responsibilities Participate in a follow-the-sun production on-call rotation as a primary incident responder. Diagnose, triage, mitigate, and coordinate resolution of production incidents across payment services, Kubernetes platforms, databases, messaging systems, and cloud infrastructure. Define and maintain SLOs, SLIs, error budgets, alerting standards, and operational readiness processes. Drive reliability improvements through automation, observability, capacity planning, performance optimization, and post-incident reviews. Partner with engineering teams to improve resilience, security, and operational maturity in PCI-DSS-regulated environments. Lead incident management during SEV1/SEV2 events and improve response effectiveness and MTTR. Cross-Border Collaboration: Act as a key technical bridge between our US operations and international engineering hubs, leveraging bilingual communication to streamline complex technical alignment. Requirements 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Infrastructure roles supporting mission-critical production systems. Strong hands-on experience with AWS, Kubernetes (EKS), Terraform, PostgreSQL, Redis, Kafka, Linux, networking, and modern observability platforms. Deep understanding of distributed systems, cloud-native architectures, high availability, disaster recovery, capacity planning, and performance optimization. Proven experience operating payment, banking, fintech, or other highly regulated systems with stringent security, compliance, and uptime requirements. Strong knowledge of SRE principles, including SLOs, SLIs, error budgets, incident management, alert governance, and operational excellence. Leadership & Operational Excellence Demonstrates strong ownership and accountability, taking end-to-end responsibility for service reliability and customer impact. Possesses a strong sense of urgency during production incidents while maintaining sound judgment and structured decision-making under pressure. Applies a systematic and methodical approach to troubleshooting, root-cause analysis, and incident resolution in complex distributed environments. Data-driven mindset with the ability to leverage metrics, telemetry, trends, and service-level indicators to prioritize reliability investments and operational improvements. Continuously drives engineering excellence through iterative improvement, automation, standardization, and elimination of operational toil. Proven ability to lead cross-functional incident response efforts, coordinate stakeholders, and communicate effectively during high-severity production events. Champions a culture of operational readiness, continuous learning, post-incident improvement, and blameless accountability. Demonstrates strong mentoring and technical leadership skills, influencing engineering teams to build reliable, scalable, and resilient systems by design. Benefits Competitive packages aligned with California market standards Lead a dynamic and innovative team in a very rapidly growing company Collaborative, inclusive environment where your contributions are recognized and valued