Job Description Job Description Woodard & Curran is an employee-owned engineering, science, and operations firm dedicated to clean water, a safe environment, healthy communities, and happy people. We foster an inclusive, collaborative culture that supports professional growth, flexibility, and meaningful work, empowering our employees to make a lasting impact on our clients, communities, and the planet. The PLC SCADA Technician is responsible for supporting, maintaining, and repairing industrial electrical and electronic control systems. This role involves working independently and collaboratively with Maintenance Technicians, Production Engineers, Operators/Supervisors, and Contractors. The technician will operate under general supervision and must possess strong electrical and PLC troubleshooting skills. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this job opening. Who are we looking for: We are seeking a hands-on, customer-facing Field Service Technician with strong field instrumentation, radio telemetry, OIT/HMI, PLC troubleshooting, and motor control experience. This is a true service and support role focused on keeping existing water and wastewater treatment systems running reliably. Offering Flexible Remote/Hybrid Work/Onsite Schedule: Hybrid work schedule (consisting of office, remote, and onsite, pending project needs) Travel & Physical Requirements This position involves regular travel to client facilities (typically within driving distance) for on-site troubleshooting, preventive maintenance, system upgrades, emergency response, and scheduled service visits. Regional travel up to 50-70% (mostly day trips), with occasional overnight stays required depending on call-out needs and multi-day service work. - Must be physically able to lift and carry 40 lbs repeatedly - Comfortable working from heights (ladders, scissor lifts, platforms) and in confined spaces - Able to safely work on live control panels while wearing proper arc flash PPE and following NFPA 70E protocols - Candidate must maintain a valid driver's license with no major infractions - Candidate must maintain a valid REAL ID driver's license or other TSA-approved identification What you will be doing at Woodard & Curran: Rapidly troubleshoot and repair PLCs (primarily Allen-Bradley ControlLogix/CompactLogix), OITs/HMIs (PanelView, FactoryTalk View ME/SE, Red Lion, etc.), instrumentation, and plant-floor networks in live production environments Diagnose and repair motor controls including VFDs (ABB, Danfoss, Yaskawa, Siemens, etc.), soft starters, across-the-line starters, and reduced-voltage starters Maintain and troubleshoot radio telemetry systems (NextGen Viper SCADA radios, MDS, Data-Linc, licensed/unlicensed spread-spectrum, cellular modems) Perform loop checks, sensor calibration, transmitter replacement, valve/actuator repairs, and control panel wiring modifications Execute field upgrades, I/O expansions, radio path studies, antenna replacements, and minor PLC logic or HMI screen changes while minimizing plant downtime Remotely monitor assets across multiple facilities, spot performance issues, and schedule or perform corrective actions Conduct preventive maintenance, system backups, basic disaster-recovery tests, and firmware/security updates on field devices Thoroughly document all work including service tickets, root-cause analysis reports, as-built drawings, infrastructure inventories, and system changes Respond to emergency situations, provide 24/7 on-call support (rotational), and participate in rapid-response fieldwork when required What you will need to succeed: High school diploma or equivalent Minimum 5 years of hands-on field experience with PLCs and VFDs in industrial or municipal environments Proficiency with Rockwell PowerFlex, Danfoss, ABB, and similar variable frequency drives Experience with Ethernet/IP, managed/unmanaged switches, and basic network troubleshooting Skilled in modifying HMIs (PanelView, FactoryTalk View ME/SE, Red Lion, etc.) and tuning PID loops Strong understanding of industrial power distribution (480 V-15 kV medium/low voltage systems) Ability to read, interpret, and red-line P&IDs, loop sheets, and electrical wiring diagrams Proven experience installing, maintaining, and troubleshooting electrical components and control systems Demonstrated knowledge of safety protocols, LOTO, arc-flash hazard recognition, and NFPA 70E compliance Strong written, verbal, and interpersonal communication skills in English This role has the option for remote work, and the anticipated pay range is flexible, depending on factors such as the employee's primary work location, skills, experience, and education. The anticipated pay range for this position is provided above; the final exempt salary or non-exempt hourly pay will depend on the candidate's experience level and a percentage-based geographic differential, considering the location where the candidate will be working. Geographic differentials recognize and reflect the cost of labor differences between geographic markets. Woodard & Curran offers a comprehensive benefits package. For more information about our benefits & workplace policies visit Benefit & Policy Information - Woodard & Curran. E-Verify Participation : Woodard & Curran participates in E-Verify to confirm the employment eligibility of all newly hired employees. As part of this process, we provide access to the Right to Work & E-Verify postings. Equal Employment Opportunity & Accessibility: Woodard & Curran is an Equal Opportunity Employer. We are committed to non-discrimination and make employment decisions based on job-related factors. Individuals with disabilities and protected veterans are encouraged to apply. If you require a reasonable accommodation during the application process, please contact Beth Sweitzer. Equal Employment Opportunity Policy Workplace Discrimination is Illegal Posting Woodard & Curran Terms of Use Woodard & Curran Privacy Statement Text Messaging: To support an efficient hiring process, we may send brief SMS updates or reminders. You may opt out at any time by replying "STOP." Unsolicited agency submissions without a signed agreement are not eligible for referral fees. 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 Woodard & Curran is an employee-owned engineering, science, and operations firm dedicated to clean water, a safe environment, healthy communities, and happy people. We foster an inclusive, collaborative culture that supports professional growth, flexibility, and meaningful work, empowering our employees to make a lasting impact on our clients, communities, and the planet. The PLC SCADA Technician is responsible for supporting, maintaining, and repairing industrial electrical and electronic control systems. This role involves working independently and collaboratively with Maintenance Technicians, Production Engineers, Operators/Supervisors, and Contractors. The technician will operate under general supervision and must possess strong electrical and PLC troubleshooting skills. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this job opening. Who are we looking for: We are seeking a hands-on, customer-facing Field Service Technician with strong field instrumentation, radio telemetry, OIT/HMI, PLC troubleshooting, and motor control experience. This is a true service and support role focused on keeping existing water and wastewater treatment systems running reliably. Offering Flexible Remote/Hybrid Work/Onsite Schedule: Hybrid work schedule (consisting of office, remote, and onsite, pending project needs) Travel & Physical Requirements This position involves regular travel to client facilities (typically within driving distance) for on-site troubleshooting, preventive maintenance, system upgrades, emergency response, and scheduled service visits. Regional travel up to 50-70% (mostly day trips), with occasional overnight stays required depending on call-out needs and multi-day service work. - Must be physically able to lift and carry 40 lbs repeatedly - Comfortable working from heights (ladders, scissor lifts, platforms) and in confined spaces - Able to safely work on live control panels while wearing proper arc flash PPE and following NFPA 70E protocols - Candidate must maintain a valid driver's license with no major infractions - Candidate must maintain a valid REAL ID driver's license or other TSA-approved identification What you will be doing at Woodard & Curran: Rapidly troubleshoot and repair PLCs (primarily Allen-Bradley ControlLogix/CompactLogix), OITs/HMIs (PanelView, FactoryTalk View ME/SE, Red Lion, etc.), instrumentation, and plant-floor networks in live production environments Diagnose and repair motor controls including VFDs (ABB, Danfoss, Yaskawa, Siemens, etc.), soft starters, across-the-line starters, and reduced-voltage starters Maintain and troubleshoot radio telemetry systems (NextGen Viper SCADA radios, MDS, Data-Linc, licensed/unlicensed spread-spectrum, cellular modems) Perform loop checks, sensor calibration, transmitter replacement, valve/actuator repairs, and control panel wiring modifications Execute field upgrades, I/O expansions, radio path studies, antenna replacements, and minor PLC logic or HMI screen changes while minimizing plant downtime Remotely monitor assets across multiple facilities, spot performance issues, and schedule or perform corrective actions Conduct preventive maintenance, system backups, basic disaster-recovery tests, and firmware/security updates on field devices Thoroughly document all work including service tickets, root-cause analysis reports, as-built drawings, infrastructure inventories, and system changes Respond to emergency situations, provide 24/7 on-call support (rotational), and participate in rapid-response fieldwork when required What you will need to succeed: High school diploma or equivalent Minimum 5 years of hands-on field experience with PLCs and VFDs in industrial or municipal environments Proficiency with Rockwell PowerFlex, Danfoss, ABB, and similar variable frequency drives Experience with Ethernet/IP, managed/unmanaged switches, and basic network troubleshooting Skilled in modifying HMIs (PanelView, FactoryTalk View ME/SE, Red Lion, etc.) and tuning PID loops Strong understanding of industrial power distribution (480 V-15 kV medium/low voltage systems) Ability to read, interpret, and red-line P&IDs, loop sheets, and electrical wiring diagrams Proven experience installing, maintaining, and troubleshooting electrical components and control systems Demonstrated knowledge of safety protocols, LOTO, arc-flash hazard recognition, and NFPA 70E compliance Strong written, verbal, and interpersonal communication skills in English This role has the option for remote work, and the anticipated pay range is flexible, depending on factors such as the employee's primary work location, skills, experience, and education. The anticipated pay range for this position is provided above; the final exempt salary or non-exempt hourly pay will depend on the candidate's experience level and a percentage-based geographic differential, considering the location where the candidate will be working. Geographic differentials recognize and reflect the cost of labor differences between geographic markets. Woodard & Curran offers a comprehensive benefits package. For more information about our benefits & workplace policies visit Benefit & Policy Information - Woodard & Curran. E-Verify Participation : Woodard & Curran participates in E-Verify to confirm the employment eligibility of all newly hired employees. As part of this process, we provide access to the Right to Work & E-Verify postings. Equal Employment Opportunity & Accessibility: Woodard & Curran is an Equal Opportunity Employer. We are committed to non-discrimination and make employment decisions based on job-related factors. Individuals with disabilities and protected veterans are encouraged to apply. If you require a reasonable accommodation during the application process, please contact Beth Sweitzer. Equal Employment Opportunity Policy Workplace Discrimination is Illegal Posting Woodard & Curran Terms of Use Woodard & Curran Privacy Statement Text Messaging: To support an efficient hiring process, we may send brief SMS updates or reminders. You may opt out at any time by replying "STOP." Unsolicited agency submissions without a signed agreement are not eligible for referral fees. 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 At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
08/05/2026
Full time
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
Job Description Job Description Job Summary: Works with other installers and independently, in the completion of installations and service calls. Responsible for timely completion of daily tasks, pictures, and notes. Requires excellent communication skills Self-motivated, task driven, and able to apply "best practices" theory Excellent problem solving skills Ability to create and execute in the field solutions Ability to use hand and power tools Develop and maintain proficiency in the following areas: Key Job Responsibilities: Boldened items are the most critical. Complete complex audio/video installs, setup, and calibration Control system design (control/lighting/shading) and Theater room installation Advanced troubleshooting of simple and complex systems Advanced networking/data system design, install and setup Complete programming of advanced systems (Control4) Support of legacy and/or third-party products and systems Complete understanding of multi-room systems and setup Advanced understanding of security system programming and design Advanced understanding of Sonos single room and multi room solutions Advanced understanding of Access control systems Advanced understanding of IP and analog CCTV systems CEDIA ESTIII and Control4 Tech 2 certifications (or obtain within 6 months of hire) Completion of Academy (or obtain within 6 months of hire) Completion of Snap University Trainings within first year of employment Completion of PCNA Certification as defined during the year If you believe you are a STRONG candidate for this position please complete the following steps in addition to this application: Email your resume with a cover letter to Your cover letter should outline how your past experiences can be useful in this new position, why you are seeking new employment, and why you want to specifically work at HT Install. Visit our website: Ensure you look at the Partnerships page to familiarize yourself with the brands we sell. If you have experience with these brands, indicate your level of expertise in your cover letter. Call our office to follow up Minimum Job Requirements: Strong verbal and written communication skills Highly detailed, organized, and multitask driven Proficient in all Senior level qualifications Assist in training and evaluation of up to Senior level technicians Excellent skills with desktop and mobile computing Clean driving record and background check Minimum of 5 years' field experience Disclaimer: The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this classification. They are not to be constructed, as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Company Description HT-Install, Inc. is a progressive systems integration company built on proven industry experience, and a tradition of outstanding customer service. Our services include system design and installation of distributed audio/video systems, intuitive control, crystal clear communications, audio/video surveillance, alarm systems, motorized window treatments and Wireless internet systems. Whether our clients are building systems for their Home or Work, HT-Install, Inc. has the experience and dedication to see the system through to its satisfying end. The HT-Install, Inc. staff is focused on bringing a fully engineered and complete solution to all of our projects. Taking the time to account for the details is what we do. Our staff of Engineers and Project Managers work hard to ensure that documentation and field assistance is available and complete. The HT-Install proposal is simple. We are looking for intelligent individuals with a positive, get it done attitude. In return for dedicated service and thoughtful actions, you will be rewarded with an environment that is poised at supporting quality work and nurturing your career path. If you are a professional looking for a place to grow and do your best work, please apply today. Company Description HT-Install, Inc. is a progressive systems integration company built on proven industry experience, and a tradition of outstanding customer service. Our services include system design and installation of distributed audio/video systems, intuitive control, crystal clear communications, audio/video surveillance, alarm systems, motorized window treatments and Wireless internet systems. Whether our clients are building systems for their Home or Work, HT-Install, Inc. has the experience and dedication to see the system through to its satisfying end. The HT-Install, Inc. staff is focused on bringing a fully engineered and complete solution to all of our projects. Taking the time to account for the details is what we do. Our staff of Engineers and Project Managers work hard to ensure that documentation and field assistance is available and complete. The HT-Install proposal is simple. We are looking for intelligent individuals with a positive, get it done attitude. In return for dedicated service and thoughtful actions, you will be rewarded with an environment that is poised at supporting quality work and nurturing your career path. If you are a professional looking for a place to grow and do your best work, please apply today.
08/05/2026
Full time
Job Description Job Description Job Summary: Works with other installers and independently, in the completion of installations and service calls. Responsible for timely completion of daily tasks, pictures, and notes. Requires excellent communication skills Self-motivated, task driven, and able to apply "best practices" theory Excellent problem solving skills Ability to create and execute in the field solutions Ability to use hand and power tools Develop and maintain proficiency in the following areas: Key Job Responsibilities: Boldened items are the most critical. Complete complex audio/video installs, setup, and calibration Control system design (control/lighting/shading) and Theater room installation Advanced troubleshooting of simple and complex systems Advanced networking/data system design, install and setup Complete programming of advanced systems (Control4) Support of legacy and/or third-party products and systems Complete understanding of multi-room systems and setup Advanced understanding of security system programming and design Advanced understanding of Sonos single room and multi room solutions Advanced understanding of Access control systems Advanced understanding of IP and analog CCTV systems CEDIA ESTIII and Control4 Tech 2 certifications (or obtain within 6 months of hire) Completion of Academy (or obtain within 6 months of hire) Completion of Snap University Trainings within first year of employment Completion of PCNA Certification as defined during the year If you believe you are a STRONG candidate for this position please complete the following steps in addition to this application: Email your resume with a cover letter to Your cover letter should outline how your past experiences can be useful in this new position, why you are seeking new employment, and why you want to specifically work at HT Install. Visit our website: Ensure you look at the Partnerships page to familiarize yourself with the brands we sell. If you have experience with these brands, indicate your level of expertise in your cover letter. Call our office to follow up Minimum Job Requirements: Strong verbal and written communication skills Highly detailed, organized, and multitask driven Proficient in all Senior level qualifications Assist in training and evaluation of up to Senior level technicians Excellent skills with desktop and mobile computing Clean driving record and background check Minimum of 5 years' field experience Disclaimer: The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this classification. They are not to be constructed, as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Company Description HT-Install, Inc. is a progressive systems integration company built on proven industry experience, and a tradition of outstanding customer service. Our services include system design and installation of distributed audio/video systems, intuitive control, crystal clear communications, audio/video surveillance, alarm systems, motorized window treatments and Wireless internet systems. Whether our clients are building systems for their Home or Work, HT-Install, Inc. has the experience and dedication to see the system through to its satisfying end. The HT-Install, Inc. staff is focused on bringing a fully engineered and complete solution to all of our projects. Taking the time to account for the details is what we do. Our staff of Engineers and Project Managers work hard to ensure that documentation and field assistance is available and complete. The HT-Install proposal is simple. We are looking for intelligent individuals with a positive, get it done attitude. In return for dedicated service and thoughtful actions, you will be rewarded with an environment that is poised at supporting quality work and nurturing your career path. If you are a professional looking for a place to grow and do your best work, please apply today. Company Description HT-Install, Inc. is a progressive systems integration company built on proven industry experience, and a tradition of outstanding customer service. Our services include system design and installation of distributed audio/video systems, intuitive control, crystal clear communications, audio/video surveillance, alarm systems, motorized window treatments and Wireless internet systems. Whether our clients are building systems for their Home or Work, HT-Install, Inc. has the experience and dedication to see the system through to its satisfying end. The HT-Install, Inc. staff is focused on bringing a fully engineered and complete solution to all of our projects. Taking the time to account for the details is what we do. Our staff of Engineers and Project Managers work hard to ensure that documentation and field assistance is available and complete. The HT-Install proposal is simple. We are looking for intelligent individuals with a positive, get it done attitude. In return for dedicated service and thoughtful actions, you will be rewarded with an environment that is poised at supporting quality work and nurturing your career path. If you are a professional looking for a place to grow and do your best work, please apply today.
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
08/05/2026
Full time
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
Job Description Job Description San Francisco, CA New York City, NY On-site Full-time Compensation: $125,000-$200,000 + 0.3%-1% equity About the Company An early-stage public-safety AI company building tools that help law enforcement search digital evidence and accelerate investigations into major crimes by reducing evidence overload. The team includes engineers who have previously built national-scale systems. Backed by top-tier investors, with live deployments and paying customers already in production. Founded 2025 1-10 people Industry: Public safety / law-enforcement AI The Role An early engineer role building the company's AI backbone - processing massive video, audio, and text datasets to surface investigative leads across backend infrastructure and applied ML. What you'll be doing Build retrieval pipelines over large-scale video, audio, and text datasets Integrate LLMs/VLMs and deploy secure, distributed systems in sensitive environments Ship end-to-end, from data flow design through production deployment Surface investigative signals and leads from unstructured data Work closely with founders on system architecture and technical direction Tech stack: Python, FastAPI, LangChain, PyTorch; LLM/VLM inference; distributed backend infrastructure Requirements 4-6+ years of engineering experience, ideally 2+ in applied ML Strong Python backend + ML ops familiarity (FastAPI, LangChain, PyTorch, etc.) U.S. work authorization and willingness to undergo FBI background check Deep technical communication skills (can explain systems and trade-offs clearly) Production experience deploying LLMs/VLMs or custom ML inference pipelines Experience understanding and scaling backend infrastructure (does not have to be an expert but must have solid knowledge) Green Flags Built secure, distributed backend systems (Python/Go/TypeScript) Demonstrated curiosity across both infrastructure and model-level work Worked on real-time or high-throughput data systems Prior early-stage or mission-driven startup experience SWE and data engineering experience/knowledge Red Flags Only academic or research exposure to AI (no production deployment) Preference for large-company processes or siloed work Weak understanding of data security / compliance requirements Why Join Mission with real weight: bring technical excellence to public safety Founding-level ownership shaping the AI backbone end-to-end, with meaningful founding equity Serious backing and real traction - live deployments and paying customers in production Details Location San Francisco, CA New York City, NY Work policy In-person, at least 3x/week Compensation $125,000-$200,000 + equity Visa sponsorship None available Employment type Full-time
08/05/2026
Full time
Job Description Job Description San Francisco, CA New York City, NY On-site Full-time Compensation: $125,000-$200,000 + 0.3%-1% equity About the Company An early-stage public-safety AI company building tools that help law enforcement search digital evidence and accelerate investigations into major crimes by reducing evidence overload. The team includes engineers who have previously built national-scale systems. Backed by top-tier investors, with live deployments and paying customers already in production. Founded 2025 1-10 people Industry: Public safety / law-enforcement AI The Role An early engineer role building the company's AI backbone - processing massive video, audio, and text datasets to surface investigative leads across backend infrastructure and applied ML. What you'll be doing Build retrieval pipelines over large-scale video, audio, and text datasets Integrate LLMs/VLMs and deploy secure, distributed systems in sensitive environments Ship end-to-end, from data flow design through production deployment Surface investigative signals and leads from unstructured data Work closely with founders on system architecture and technical direction Tech stack: Python, FastAPI, LangChain, PyTorch; LLM/VLM inference; distributed backend infrastructure Requirements 4-6+ years of engineering experience, ideally 2+ in applied ML Strong Python backend + ML ops familiarity (FastAPI, LangChain, PyTorch, etc.) U.S. work authorization and willingness to undergo FBI background check Deep technical communication skills (can explain systems and trade-offs clearly) Production experience deploying LLMs/VLMs or custom ML inference pipelines Experience understanding and scaling backend infrastructure (does not have to be an expert but must have solid knowledge) Green Flags Built secure, distributed backend systems (Python/Go/TypeScript) Demonstrated curiosity across both infrastructure and model-level work Worked on real-time or high-throughput data systems Prior early-stage or mission-driven startup experience SWE and data engineering experience/knowledge Red Flags Only academic or research exposure to AI (no production deployment) Preference for large-company processes or siloed work Weak understanding of data security / compliance requirements Why Join Mission with real weight: bring technical excellence to public safety Founding-level ownership shaping the AI backbone end-to-end, with meaningful founding equity Serious backing and real traction - live deployments and paying customers in production Details Location San Francisco, CA New York City, NY Work policy In-person, at least 3x/week Compensation $125,000-$200,000 + equity Visa sponsorship None available Employment type Full-time
Job Description Job Description Harmony is an open blockchain with data sharding and fast finality. Social games and community AI can use our onchain tokens for micro-payments, smart contracts for market pricing, and zero-knowledge proofs for data privacy. Harmony's mission is to scale trust and create a radically fair economy. Our platform is decentralized, scalable and secure to settle any transactions without trusted parties. uD83DuDE80 Building a (Rocket)Ship We are a Day-1 startup. Blockchains are becoming the foundation of the global economy, yet their adoption is at only 1%. That means that you as a pioneer and developer are shaping the future with 10X impact. Harmony is a community-driven project, a network with hundreds of applications, and a team wearing crazy ambitions on their sleeves. Because the invincible summer awaits! For engineers, we value your deep understanding of how bytes work. You are a tool maker, a system hacker, and a math nerd all in ONE. Your typical day involves prototyping a top-conference research paper, debugging and profiling in hexdecimal, or writing updates to coordinate asynchronously with tens of engineers in the open. Building a blockchain is like jumping off the cliff while assembling the plane engine on the fly - but, if you can thrive in chaos, why NOT? For creatives, we approve your obsession with user experience. You are a product designer, a brand manager, and an industry analyst all in ONE. Your typical day involves studying what delights and what hurts through hard metrics, writing long-form narratives on the why's and the do's, or scrumming tasks for a product launch to iterate with millions of users. Building a community is like sharing your blue heart while keeping the culture alive for decades - but, if this is your dream of 50 years, start NOW? uD83DuDC99 See our project vision on Social A(G)I and Shard 1. Responsibilities Develop a blockchain with high security, scalability and decentralization. Operate a network of 1000 nodes and $500M assets in open development. Optimize 100M requests per second at $250K monthly operational cost. Requirements Bachelor degree in computer science - specializing in kernel, data structures or compilers. 5 to 10 years of working experience including 1 year of startup experience. 60-hour work week, daily 4-hour overlap with Pacific Time. Exceptional communication and people 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 Harmony is an open blockchain with data sharding and fast finality. Social games and community AI can use our onchain tokens for micro-payments, smart contracts for market pricing, and zero-knowledge proofs for data privacy. Harmony's mission is to scale trust and create a radically fair economy. Our platform is decentralized, scalable and secure to settle any transactions without trusted parties. uD83DuDE80 Building a (Rocket)Ship We are a Day-1 startup. Blockchains are becoming the foundation of the global economy, yet their adoption is at only 1%. That means that you as a pioneer and developer are shaping the future with 10X impact. Harmony is a community-driven project, a network with hundreds of applications, and a team wearing crazy ambitions on their sleeves. Because the invincible summer awaits! For engineers, we value your deep understanding of how bytes work. You are a tool maker, a system hacker, and a math nerd all in ONE. Your typical day involves prototyping a top-conference research paper, debugging and profiling in hexdecimal, or writing updates to coordinate asynchronously with tens of engineers in the open. Building a blockchain is like jumping off the cliff while assembling the plane engine on the fly - but, if you can thrive in chaos, why NOT? For creatives, we approve your obsession with user experience. You are a product designer, a brand manager, and an industry analyst all in ONE. Your typical day involves studying what delights and what hurts through hard metrics, writing long-form narratives on the why's and the do's, or scrumming tasks for a product launch to iterate with millions of users. Building a community is like sharing your blue heart while keeping the culture alive for decades - but, if this is your dream of 50 years, start NOW? uD83DuDC99 See our project vision on Social A(G)I and Shard 1. Responsibilities Develop a blockchain with high security, scalability and decentralization. Operate a network of 1000 nodes and $500M assets in open development. Optimize 100M requests per second at $250K monthly operational cost. Requirements Bachelor degree in computer science - specializing in kernel, data structures or compilers. 5 to 10 years of working experience including 1 year of startup experience. 60-hour work week, daily 4-hour overlap with Pacific Time. Exceptional communication and people 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.
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details
08/05/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details
08/05/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details
Job Description Job Description About Us: We are building a robust, scalable trading platform to serve high-traffic, latency-sensitive applications. Our infrastructure leverages state-of-the-art technologies to support real-time trading while providing unparalleled reliability and performance. Join us to shape the future of our platform and engineering culture. Job Summary: We are looking for a Senior DevOps & Platform Engineer to lead the design, implementation, and management of our AWS-centric infrastructure. You will play a pivotal role in maximizing the velocity of our product engineering team, ensuring platform scalability, reliability, and security. This is a high-impact role, combining elements of DevOps, Platform Engineering, and Site Reliability Engineering (SRE). You will champion best practices, shape the engineering culture, and ensure our platform is robust, efficient, and ready for the future. Key Responsibilities: Platform Engineering Infrastructure Design: Architect and implement scalable infrastructure to support the deployment and management of our trading platform. Developer Tooling: Build and maintain internal tools to streamline developer workflows, including advanced CI/CD pipelines. Infrastructure as Code (IaC): Champion IaC practices using Terraform, CloudFormation, or Pulumi. Core Services Management: Manage and optimize platform-critical services such as: NATS Cluster RabbitMQ AWS RDS PostgreSQL Redis Cluster DevOps Automation and CI/CD: Automate and optimize deployment processes to ensure seamless continuous integration and delivery. Container Orchestration: Manage and scale containerized workloads using Kubernetes and Docker. Cloud Optimization: Monitor and optimize cloud resource usage for performance and cost efficiency. Site Reliability Engineering (SRE) Reliability Metrics: Define and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Observability: Implement observability tools and dashboards (e.g., Prometheus, Datadog, Grafana) for real-time system monitoring. Incident Management: Lead incident response efforts, conduct root cause analysis, and implement actionable postmortem reviews. Infrastructure Management AWS Expertise: Architect and manage cloud-based systems to handle high-traffic, latency-sensitive applications. Disaster Recovery: Implement robust disaster recovery and business continuity strategies, including backups and multi-region failover. Security Practices: Collaborate with security teams to enforce best practices for IAM, encryption, and compliance. Collaboration & Leadership Cross-Team Collaboration: Partner with software engineers to design infrastructure solutions tailored to their application needs. Culture Building: Help shape the engineering culture, promoting a philosophy of security, velocity, and reliability. Mentorship: Mentor junior engineers and document best practices to drive knowledge sharing and operational excellence. Long-Term Tech Evolution Backend Transition: Contribute to evolving our backend microservices (currently NodeJS, with some Python and C#) towards Go and Rust. Third-Party Integration: Evaluate and integrate critical third-party software and infrastructure, such as payment gateways and mobility stacks. Your Impact: Simplify infrastructure concerns for product teams to accelerate builds, deployments, and scaling. Advocate for modern practices like Zero Trust Networking and continuously improve platform architecture. Balance the demands of product velocity with a well-managed, secure, and scalable platform. Required Skills & Experience: Technical Expertise Cloud Experience: 5-8+ years of hands-on experience with cloud platforms, particularly AWS, including services like EC2, RDS, S3, Lambda, and VPC. Containerization: Proficiency with Docker and Kubernetes (EKS) or ECS. Infrastructure as Code (IaC): Strong experience with Terraform, CloudFormation, or Pulumi. Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, TypeScript/JavaScript, Ruby, Java). DevOps & SRE CI/CD Pipelines: Expertise in building and maintaining CI/CD workflows using tools like GitLab CI, Jenkins, or GitHub Actions. Monitoring Tools: Experience with observability platforms (e.g., Prometheus, Datadog, Grafana). Incident Management: Proven ability to handle incident response, root cause analysis, and postmortem reviews. Soft Skills Problem-Solving: Ability to research, design, and deliver solutions to complex infrastructure challenges. Collaboration: Experience working directly with product engineers to improve workflows incrementally. Leadership: Ownership mindset with the ability to mentor team members and advocate for best practices. Preferred Skills (Nice-to-Have): Familiarity with backend languages like Go or Rust. AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with networking concepts (e.g., load balancers, DNS, VPNs) and traffic optimization. Knowledge of emerging CNCF technologies and CI/CD trends. What We Offer: Competitive salary with future equity options Opportunities to work with cutting-edge technologies and evolve our platform. Flexible working hours and a remote-friendly environment. Professional growth through certifications, conferences, and internal training. Collaborative culture focused on innovation and operational excellence.
08/05/2026
Full time
Job Description Job Description About Us: We are building a robust, scalable trading platform to serve high-traffic, latency-sensitive applications. Our infrastructure leverages state-of-the-art technologies to support real-time trading while providing unparalleled reliability and performance. Join us to shape the future of our platform and engineering culture. Job Summary: We are looking for a Senior DevOps & Platform Engineer to lead the design, implementation, and management of our AWS-centric infrastructure. You will play a pivotal role in maximizing the velocity of our product engineering team, ensuring platform scalability, reliability, and security. This is a high-impact role, combining elements of DevOps, Platform Engineering, and Site Reliability Engineering (SRE). You will champion best practices, shape the engineering culture, and ensure our platform is robust, efficient, and ready for the future. Key Responsibilities: Platform Engineering Infrastructure Design: Architect and implement scalable infrastructure to support the deployment and management of our trading platform. Developer Tooling: Build and maintain internal tools to streamline developer workflows, including advanced CI/CD pipelines. Infrastructure as Code (IaC): Champion IaC practices using Terraform, CloudFormation, or Pulumi. Core Services Management: Manage and optimize platform-critical services such as: NATS Cluster RabbitMQ AWS RDS PostgreSQL Redis Cluster DevOps Automation and CI/CD: Automate and optimize deployment processes to ensure seamless continuous integration and delivery. Container Orchestration: Manage and scale containerized workloads using Kubernetes and Docker. Cloud Optimization: Monitor and optimize cloud resource usage for performance and cost efficiency. Site Reliability Engineering (SRE) Reliability Metrics: Define and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Observability: Implement observability tools and dashboards (e.g., Prometheus, Datadog, Grafana) for real-time system monitoring. Incident Management: Lead incident response efforts, conduct root cause analysis, and implement actionable postmortem reviews. Infrastructure Management AWS Expertise: Architect and manage cloud-based systems to handle high-traffic, latency-sensitive applications. Disaster Recovery: Implement robust disaster recovery and business continuity strategies, including backups and multi-region failover. Security Practices: Collaborate with security teams to enforce best practices for IAM, encryption, and compliance. Collaboration & Leadership Cross-Team Collaboration: Partner with software engineers to design infrastructure solutions tailored to their application needs. Culture Building: Help shape the engineering culture, promoting a philosophy of security, velocity, and reliability. Mentorship: Mentor junior engineers and document best practices to drive knowledge sharing and operational excellence. Long-Term Tech Evolution Backend Transition: Contribute to evolving our backend microservices (currently NodeJS, with some Python and C#) towards Go and Rust. Third-Party Integration: Evaluate and integrate critical third-party software and infrastructure, such as payment gateways and mobility stacks. Your Impact: Simplify infrastructure concerns for product teams to accelerate builds, deployments, and scaling. Advocate for modern practices like Zero Trust Networking and continuously improve platform architecture. Balance the demands of product velocity with a well-managed, secure, and scalable platform. Required Skills & Experience: Technical Expertise Cloud Experience: 5-8+ years of hands-on experience with cloud platforms, particularly AWS, including services like EC2, RDS, S3, Lambda, and VPC. Containerization: Proficiency with Docker and Kubernetes (EKS) or ECS. Infrastructure as Code (IaC): Strong experience with Terraform, CloudFormation, or Pulumi. Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, TypeScript/JavaScript, Ruby, Java). DevOps & SRE CI/CD Pipelines: Expertise in building and maintaining CI/CD workflows using tools like GitLab CI, Jenkins, or GitHub Actions. Monitoring Tools: Experience with observability platforms (e.g., Prometheus, Datadog, Grafana). Incident Management: Proven ability to handle incident response, root cause analysis, and postmortem reviews. Soft Skills Problem-Solving: Ability to research, design, and deliver solutions to complex infrastructure challenges. Collaboration: Experience working directly with product engineers to improve workflows incrementally. Leadership: Ownership mindset with the ability to mentor team members and advocate for best practices. Preferred Skills (Nice-to-Have): Familiarity with backend languages like Go or Rust. AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with networking concepts (e.g., load balancers, DNS, VPNs) and traffic optimization. Knowledge of emerging CNCF technologies and CI/CD trends. What We Offer: Competitive salary with future equity options Opportunities to work with cutting-edge technologies and evolve our platform. Flexible working hours and a remote-friendly environment. Professional growth through certifications, conferences, and internal training. Collaborative culture focused on innovation and operational excellence.
Job Description Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring Forward Deployed Engineers to partner directly with our customers and help them deploy, integrate, and operationalize the Mithrl platform inside their private cloud environments. FDEs sit at the intersection of engineering, customer success, and solutions architecture. You will work hands-on with customer IT, security, data, and R&D teams to set up secure cloud environments, configure integrations, troubleshoot technical challenges, and ensure Mithrl becomes a seamless part of their discovery workflow. This role requires strong software engineering fundamentals, deep comfort with cloud infrastructure, and excellent problem solving skills. You will work very closely with customer teams to design deployment architectures, automate provisioning steps, validate platform functionality in their environments, and ensure that their scientific teams can begin using Mithrl without friction. If you enjoy solving hard and novel problems in real customer environments, working across cloud infrastructure and product engineering, and being part of the customer's journey from day one, this role is an ideal match. WHAT YOU WILL DO Deploy Mithrl into customer private clouds including AWS, Azure, or GCP Work directly with customer IT and security teams to configure networking, IAM, private subnets, secure VPCs, and data access patterns Build integrations between customer systems and Mithrl APIs for data ingestion or workflow automation Validate deployed environments through functional, performance, and scientific smoke tests Troubleshoot infrastructure, deployment, and connectivity issues in real customer environments Implement automation and internal tools that make deployments faster, more reliable, and more repeatable Serve as a technical advisor to customers during onboarding and through early product adoption Document deployment guidelines, architecture templates, and integration playbooks Collaborate with Mithrl platform engineering, DevOps, and ML teams to resolve issues and drive improvements Ensure that deployments meet customer security standards and internal best practices WHAT YOU BRING Required Qualifications Strong experience with cloud environments such as AWS, Azure, or GCP Experience configuring VPCs, IAM, networking, private endpoints, and secure infrastructure setups Software engineering fundamentals and proficiency in Python or a similar language Experience with container technologies and orchestrators such as Docker, ECS, EKS, or Kubernetes Ability to diagnose and resolve issues involving networking, storage, compute, and configuration Experience working directly with external stakeholders in highly technical environments Excellent problem solving skills and the ability to adapt quickly in complex customer deployments Strong communication skills and ability to build trust with customer teams Nice to Have Experience integrating ML or data heavy platforms into enterprise environments Experience with Terraform or CloudFormation Experience with secure data environments, regulated R&D teams, or biotech customers Familiarity with scientific computing or R&D workflow tools Experience writing internal tools, automation scripts, or lightweight backend services WHAT YOU WILL LOVE AT MITHRL High ownership and impact: You will work directly with leading pharma and biotech organizations on real deployments. You will solve complex problems across cloud, networking, security, and systems engineering. You will have enormous ownership over how Mithrl operates in customer environments Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K
08/05/2026
Full time
Job Description Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring Forward Deployed Engineers to partner directly with our customers and help them deploy, integrate, and operationalize the Mithrl platform inside their private cloud environments. FDEs sit at the intersection of engineering, customer success, and solutions architecture. You will work hands-on with customer IT, security, data, and R&D teams to set up secure cloud environments, configure integrations, troubleshoot technical challenges, and ensure Mithrl becomes a seamless part of their discovery workflow. This role requires strong software engineering fundamentals, deep comfort with cloud infrastructure, and excellent problem solving skills. You will work very closely with customer teams to design deployment architectures, automate provisioning steps, validate platform functionality in their environments, and ensure that their scientific teams can begin using Mithrl without friction. If you enjoy solving hard and novel problems in real customer environments, working across cloud infrastructure and product engineering, and being part of the customer's journey from day one, this role is an ideal match. WHAT YOU WILL DO Deploy Mithrl into customer private clouds including AWS, Azure, or GCP Work directly with customer IT and security teams to configure networking, IAM, private subnets, secure VPCs, and data access patterns Build integrations between customer systems and Mithrl APIs for data ingestion or workflow automation Validate deployed environments through functional, performance, and scientific smoke tests Troubleshoot infrastructure, deployment, and connectivity issues in real customer environments Implement automation and internal tools that make deployments faster, more reliable, and more repeatable Serve as a technical advisor to customers during onboarding and through early product adoption Document deployment guidelines, architecture templates, and integration playbooks Collaborate with Mithrl platform engineering, DevOps, and ML teams to resolve issues and drive improvements Ensure that deployments meet customer security standards and internal best practices WHAT YOU BRING Required Qualifications Strong experience with cloud environments such as AWS, Azure, or GCP Experience configuring VPCs, IAM, networking, private endpoints, and secure infrastructure setups Software engineering fundamentals and proficiency in Python or a similar language Experience with container technologies and orchestrators such as Docker, ECS, EKS, or Kubernetes Ability to diagnose and resolve issues involving networking, storage, compute, and configuration Experience working directly with external stakeholders in highly technical environments Excellent problem solving skills and the ability to adapt quickly in complex customer deployments Strong communication skills and ability to build trust with customer teams Nice to Have Experience integrating ML or data heavy platforms into enterprise environments Experience with Terraform or CloudFormation Experience with secure data environments, regulated R&D teams, or biotech customers Familiarity with scientific computing or R&D workflow tools Experience writing internal tools, automation scripts, or lightweight backend services WHAT YOU WILL LOVE AT MITHRL High ownership and impact: You will work directly with leading pharma and biotech organizations on real deployments. You will solve complex problems across cloud, networking, security, and systems engineering. You will have enormous ownership over how Mithrl operates in customer environments Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K
Job Description Job Description Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit . Why This Role Matters Saviynt's platform is mission-critical for our customers. As we scale globally, reliability, availability, and performance are not optional-they are core product features. As a Principal Engineer, you will define and drive the reliability strategy for our SaaS platform. This is a high-impact, hands-on engineering role with broad influence across infrastructure, platform, and application teams. You will shape how Saviynt designs, operates, and measures reliability at scale. This role is ideal for engineers who want to work on hard reliability problems, influence architecture across teams, and leave a lasting mark on a growing SaaS platform. What You Will Do In this pivotal role, you will be instrumental in designing, building, and maintaining the shared infrastructure services and platforms that our product and application teams will depend on • You will focus on creating reusable, reliable, and scalable solutions that abstract away complexity, enabling other teams to focus on their core business logic and deliver features faster in a multi-cloud environment • Design and build core platform components and shared infrastructure services that other development teams will integrate with and leverage to deploy and operate their applications • Architect, implement, and manage highly available and scalable Kubernetes platforms as a service for internal consumers • Develop robust, internal-facing tools and automation for infrastructure provisioning and management primarily using Go (Golang) • Architect and optimize foundational solutions within Cloud environments (AWS, Azure, etc.), focusing on creating reusable patterns and modules for other teams • Design and implement shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub that product teams can easily utilize • Develop and maintain robust CI/CD pipelines (e.g., GitLab CI and ArgoCD) as a service, providing standardized and automated deployment workflows for various development teams • Design and build resilient Distributed Systems components that serve as building blocks for other applications, focusing on reliability, fault tolerance, and performance • Manage and optimize our shared infrastructure across Multi-Region Cloud Environments, ensuring that platform services are globally available and performant for all consumers • Establish and enhance centralized Observability and Monitoring platforms and tools that provide self-service insights for consuming teams • Define and implement clear, well-documented RESTful API designs for the infrastructure services you build, ensuring ease of integration for internal clients • Implement and manage Service Mesh (e.g., Envoy, Istio) capabilities, providing traffic management, security, and policy enforcement as a shared platform for services • Design, implement, and optimize highly available Relational Database services or shared data platforms for broad organizational use • Collaborate closely with product development teams to understand their infrastructure needs and pain points, providing technical guidance and support • Participate in on-call rotations to support the critical shared infrastructure you build What Are We Looking For • 1+ years of experience as a Principal SRE with a strong focus on building tools and services for other engineers • Deep expertise with Kubernetes in production environments, particularly in providing it as a platform(i.e single tenant and multi-tenant deployment architectures) • Strong programming skills in Go (Golang) and Python, with experience building robust, maintainable backend services and automation • Extensive hands-on experience with at least one major Cloud Provider (GCP is a must); multi-cloud experience is a strong plus, especially in building abstractions over them. • Proven experience designing and implementing Event-Driven Architecture and message queuing systems (e.g., Kafka, RMQ, NATS) as shared services • Solid understanding and practical experience with CI/CD pipeline tools (especially GitLab CI) and experience establishing automated delivery processes for other teams • Demonstrable experience designing and operating Distributed Systems, with an understanding of patterns for creating reliable, shared components • Familiarity with Multi-Region Cloud Environments and strategies for building globally distributed and highly available platform • Proficiency in establishing and utilizing comprehensive Observability and Monitoring platforms (e.g., Prometheus, Grafana, ELK stack, Datadog) for shared infrastructure • Strong experience with RESTful API design principles and building well-documented, consumable APIs • Knowledge of Service Mesh concepts and practical experience with solutions like Istio in a platform context • Hands-on experience with Relational Databases (e.g., MySQL, PostgresSQL), ideally in managing them as a service • Excellent communication skills and the ability to clearly articulate complex technical concepts to both technical and non-technical audiences • A strong customer-centric mindset, treating internal development teams as your primary customers • Advanced Professional GCP Certification is required. • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience or equivalent military experience required If required for this role, you will: - Complete security & privacy literacy and awareness training during onboarding and annually thereafter - Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to): Incident Response Policy/Procedures > Business Continuity/Disaster Recovery Policy/Procedures > Mobile Device Policy > Account Management Policy > Access Control Policy > Personnel Security Policy > Privacy Policy Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 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 Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit . Why This Role Matters Saviynt's platform is mission-critical for our customers. As we scale globally, reliability, availability, and performance are not optional-they are core product features. As a Principal Engineer, you will define and drive the reliability strategy for our SaaS platform. This is a high-impact, hands-on engineering role with broad influence across infrastructure, platform, and application teams. You will shape how Saviynt designs, operates, and measures reliability at scale. This role is ideal for engineers who want to work on hard reliability problems, influence architecture across teams, and leave a lasting mark on a growing SaaS platform. What You Will Do In this pivotal role, you will be instrumental in designing, building, and maintaining the shared infrastructure services and platforms that our product and application teams will depend on • You will focus on creating reusable, reliable, and scalable solutions that abstract away complexity, enabling other teams to focus on their core business logic and deliver features faster in a multi-cloud environment • Design and build core platform components and shared infrastructure services that other development teams will integrate with and leverage to deploy and operate their applications • Architect, implement, and manage highly available and scalable Kubernetes platforms as a service for internal consumers • Develop robust, internal-facing tools and automation for infrastructure provisioning and management primarily using Go (Golang) • Architect and optimize foundational solutions within Cloud environments (AWS, Azure, etc.), focusing on creating reusable patterns and modules for other teams • Design and implement shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub that product teams can easily utilize • Develop and maintain robust CI/CD pipelines (e.g., GitLab CI and ArgoCD) as a service, providing standardized and automated deployment workflows for various development teams • Design and build resilient Distributed Systems components that serve as building blocks for other applications, focusing on reliability, fault tolerance, and performance • Manage and optimize our shared infrastructure across Multi-Region Cloud Environments, ensuring that platform services are globally available and performant for all consumers • Establish and enhance centralized Observability and Monitoring platforms and tools that provide self-service insights for consuming teams • Define and implement clear, well-documented RESTful API designs for the infrastructure services you build, ensuring ease of integration for internal clients • Implement and manage Service Mesh (e.g., Envoy, Istio) capabilities, providing traffic management, security, and policy enforcement as a shared platform for services • Design, implement, and optimize highly available Relational Database services or shared data platforms for broad organizational use • Collaborate closely with product development teams to understand their infrastructure needs and pain points, providing technical guidance and support • Participate in on-call rotations to support the critical shared infrastructure you build What Are We Looking For • 1+ years of experience as a Principal SRE with a strong focus on building tools and services for other engineers • Deep expertise with Kubernetes in production environments, particularly in providing it as a platform(i.e single tenant and multi-tenant deployment architectures) • Strong programming skills in Go (Golang) and Python, with experience building robust, maintainable backend services and automation • Extensive hands-on experience with at least one major Cloud Provider (GCP is a must); multi-cloud experience is a strong plus, especially in building abstractions over them. • Proven experience designing and implementing Event-Driven Architecture and message queuing systems (e.g., Kafka, RMQ, NATS) as shared services • Solid understanding and practical experience with CI/CD pipeline tools (especially GitLab CI) and experience establishing automated delivery processes for other teams • Demonstrable experience designing and operating Distributed Systems, with an understanding of patterns for creating reliable, shared components • Familiarity with Multi-Region Cloud Environments and strategies for building globally distributed and highly available platform • Proficiency in establishing and utilizing comprehensive Observability and Monitoring platforms (e.g., Prometheus, Grafana, ELK stack, Datadog) for shared infrastructure • Strong experience with RESTful API design principles and building well-documented, consumable APIs • Knowledge of Service Mesh concepts and practical experience with solutions like Istio in a platform context • Hands-on experience with Relational Databases (e.g., MySQL, PostgresSQL), ideally in managing them as a service • Excellent communication skills and the ability to clearly articulate complex technical concepts to both technical and non-technical audiences • A strong customer-centric mindset, treating internal development teams as your primary customers • Advanced Professional GCP Certification is required. • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience or equivalent military experience required If required for this role, you will: - Complete security & privacy literacy and awareness training during onboarding and annually thereafter - Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to): Incident Response Policy/Procedures > Business Continuity/Disaster Recovery Policy/Procedures > Mobile Device Policy > Account Management Policy > Access Control Policy > Personnel Security Policy > Privacy Policy Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 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.
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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. . click apply for full job details
08/05/2026
Full time
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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. . click apply for full job details
Job Description Job Description Grey Matters Defense Solutions specializes in software development and solutions, specialized data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and various applications. Grey Matters Defense Solutions is seeking a talented and dedicated, Mission Engineer About the job: Grey Matters Defense Solutions is looking for experienced multi-INT analysts/developers to join our Sensor to Shooter Mission Engineering team to help solve mission-focused operational problems. Stationed at customer locations, the Mission Engineering team provides support for local operational needs while also helping integrate with Intel Community and DoD tools, services, and data. Key Responsibilities: The Mission Engineering team is responsible for creating and integrating capabilities into Sensor to Shooter workflows, capturing customer needs, and providing onsite expertise through development of scripts, models, automations, and other creative techniques to overcome mission-limiting capability gaps. Ideal additions to this team will be broadly experienced across data types and intelligence disciplines and are highly motivated problem-solvers. New Mission Engineers must have exceptional communication skills and function effectively within a team as well as independently. Dedication to the mission and an ability to generate creative solutions to hard mission problems is a must. Willingness to travel in support of exercises, surge support, etc. as needed to support Customer requirements. About you: An active Top Secret security clearance 8+ years of IC/DoD analyst experience 5+ years of mission capability experience 5+ years of experience with common DoD analysis and visualization applications Demonstrated ability to communicate with peers, leadership, and customers Excellent analytical skills and problem-solving skills High level of self-initiative and self-motivation with the ability to work under minimal supervision Ability to work effectively in small team settings to solve complex problems Demonstrated ability to bring new or innovative solutions to problems Preferred Skills: Coding experience in a modern software language such as Python, R, or JAVA Broad community knowledge of sensors and disciplines and the ability to leverage and communicate this intelligence, surveillance, and reconnaissance experience to teammates and customers Experience in processing and visualizing data and an understanding of the processes and procedures necessary to request, coordinate, and task collection Knowledge of customer tasking, collection, and processing tools to perform limited analytics and development Understanding of Agile development practices and procedures with the ability to act as a product owner for established needs Salary Range: $100,000 - $160,000 Grey Matters Defense Solutions offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term and long-term disability. Additional Benefits: SEP IRA 25% of base salary PTO Six weeks IBA 12.5% Employee assistance program Employee discount Flexible spending account Health savings account Referral program Grey Matters Defense Solutions' most valuable assets are the more than 60+ employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with deep understanding of managing and delivering products within government systems. Grey Matters Defense Solutions provides transformational leadership building aware-winning teams and products. Join our team of exceptional developers, architects and data scientists! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Powered by JazzHR 7VTpjIgd2h
08/05/2026
Full time
Job Description Job Description Grey Matters Defense Solutions specializes in software development and solutions, specialized data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and various applications. Grey Matters Defense Solutions is seeking a talented and dedicated, Mission Engineer About the job: Grey Matters Defense Solutions is looking for experienced multi-INT analysts/developers to join our Sensor to Shooter Mission Engineering team to help solve mission-focused operational problems. Stationed at customer locations, the Mission Engineering team provides support for local operational needs while also helping integrate with Intel Community and DoD tools, services, and data. Key Responsibilities: The Mission Engineering team is responsible for creating and integrating capabilities into Sensor to Shooter workflows, capturing customer needs, and providing onsite expertise through development of scripts, models, automations, and other creative techniques to overcome mission-limiting capability gaps. Ideal additions to this team will be broadly experienced across data types and intelligence disciplines and are highly motivated problem-solvers. New Mission Engineers must have exceptional communication skills and function effectively within a team as well as independently. Dedication to the mission and an ability to generate creative solutions to hard mission problems is a must. Willingness to travel in support of exercises, surge support, etc. as needed to support Customer requirements. About you: An active Top Secret security clearance 8+ years of IC/DoD analyst experience 5+ years of mission capability experience 5+ years of experience with common DoD analysis and visualization applications Demonstrated ability to communicate with peers, leadership, and customers Excellent analytical skills and problem-solving skills High level of self-initiative and self-motivation with the ability to work under minimal supervision Ability to work effectively in small team settings to solve complex problems Demonstrated ability to bring new or innovative solutions to problems Preferred Skills: Coding experience in a modern software language such as Python, R, or JAVA Broad community knowledge of sensors and disciplines and the ability to leverage and communicate this intelligence, surveillance, and reconnaissance experience to teammates and customers Experience in processing and visualizing data and an understanding of the processes and procedures necessary to request, coordinate, and task collection Knowledge of customer tasking, collection, and processing tools to perform limited analytics and development Understanding of Agile development practices and procedures with the ability to act as a product owner for established needs Salary Range: $100,000 - $160,000 Grey Matters Defense Solutions offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term and long-term disability. Additional Benefits: SEP IRA 25% of base salary PTO Six weeks IBA 12.5% Employee assistance program Employee discount Flexible spending account Health savings account Referral program Grey Matters Defense Solutions' most valuable assets are the more than 60+ employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with deep understanding of managing and delivering products within government systems. Grey Matters Defense Solutions provides transformational leadership building aware-winning teams and products. Join our team of exceptional developers, architects and data scientists! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Powered by JazzHR 7VTpjIgd2h
Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior Site Reliability Engineer - Compute Platforms to design, implement, and support Kubernetes on baremetal and hypervisor platforms in a private cloud environment. This role is responsible for the architecture, design, and standardization of enterprise compute and hypervisor environments spanning bare metal infrastructure, operating systems, hypervisors, private cloud orchestration, and Kubernetes using Infrastructure-as-Code and GitOps practices. This is a deeply technical role requiring expert-level understanding of compute hardware management, Kubernetes, OpenStack, hypervisors and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities Lead the architecture and design of enterprise compute and hypervisor platform solutions across hardware, OS, virtualization, cloud orchestration, and container orchestration layers Define standards and automation frameworks for bare metal provisioning and lifecycle management Design and implement Bare Metal as a Service (BMaaS) capabilities for scalable infrastructure consumption Architect and design Kubernetes platforms on bare metal with QoS and Affinity (ArgoCD) Architect and validate automated deployments of operating systems and hypervisors including Ubuntu and Harvester Design and maintain PXE-based provisioning environments leveraging Redfish APIs for large-scale server deployments Develop Infrastructure-as-Code using Ansible, Terraform, Helm and Git, with Python/Bash automation. Implement CI/CD pipelines for infrastructure updates, patching, upgrades, testing, and rollback. Design automated workflows for server build, firmware lifecycle management, patching, and hardware validation Evaluate and standardize enterprise hardware platforms to meet performance, scalability, and reliability requirements Produce detailed high-level and low-level design documentation , build guides, and operational handoff materials Perform deep troubleshooting across storage, Kubernetes, hypervisors, networking, and Linux systems Partner with operations, network, storage, and platform teams to ensure designs are supportable and production-ready Participate in on-call escalation support for complex platform-related issues Collaborate globally on change management , documentation, and operational best practices Minimum Qualifications 6 + years of experience in infrastructure engineering, platform engineering, or DevOps with a strong focus on Compute system design Proven experience designing and automating bare metal compute environments at scale Strong hands-on experience with PXE boot, network-based OS provisioning, and automated server imaging Experience implementing or supporting Bare Metal as a Service (BMaaS) platforms Practical experience using Redfish APIs for hardware provisioning, power management, and remote lifecycle operations Deep expertise with Ubuntu Linux in enterprise environments Strong Hands-on experience with KVM hypervisors (Suse Harvester, OpenStack). Experience designing and deploying production-grade Kubernetes clusters Strong background with enterprise compute hardware platforms , including Cisco UCS, Dell PowerEdge, Supermicro systems & HPE Proficiency with Infrastructure as Code tools (e.g., Terraform, Ansible, or similar) Experience building or supporting CI/CD pipelines for infrastructure and platform automation Strong scripting skills in Python, Bash, or similar languages Demonstrated ability to produce clear, structured technical design documentation Excellent written and verbal communication skills Bachelor's degree in computer science or equivalent professional experience Preferred Qualifications OpenStack, Ubuntu KVM administration. BareMetal as a Service (PXE, Redfish). Kubernetes on BareMetal CIS/NIST security and infrastructure lifecycle management. ITIL Foundation/advanced certifications in support of ITSM standard methodology. Background in telco, edge cloud, or large enterprise environments. Ubuntu Certifications, CNCF Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) Master's degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered What You'll Get A collaborative team that's deeply invested in infrastructure excellence. Complex technical challenges that require creative, scalable solutions. The opportunity to shape a next-generation private cloud platform-built reliability Access to the latest tools, frameworks, and upstream project developments Skills and Attributes: Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents. Generous employee stock purchase plan. Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $82,300-$228,800 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: -pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
08/05/2026
Full time
Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior Site Reliability Engineer - Compute Platforms to design, implement, and support Kubernetes on baremetal and hypervisor platforms in a private cloud environment. This role is responsible for the architecture, design, and standardization of enterprise compute and hypervisor environments spanning bare metal infrastructure, operating systems, hypervisors, private cloud orchestration, and Kubernetes using Infrastructure-as-Code and GitOps practices. This is a deeply technical role requiring expert-level understanding of compute hardware management, Kubernetes, OpenStack, hypervisors and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities Lead the architecture and design of enterprise compute and hypervisor platform solutions across hardware, OS, virtualization, cloud orchestration, and container orchestration layers Define standards and automation frameworks for bare metal provisioning and lifecycle management Design and implement Bare Metal as a Service (BMaaS) capabilities for scalable infrastructure consumption Architect and design Kubernetes platforms on bare metal with QoS and Affinity (ArgoCD) Architect and validate automated deployments of operating systems and hypervisors including Ubuntu and Harvester Design and maintain PXE-based provisioning environments leveraging Redfish APIs for large-scale server deployments Develop Infrastructure-as-Code using Ansible, Terraform, Helm and Git, with Python/Bash automation. Implement CI/CD pipelines for infrastructure updates, patching, upgrades, testing, and rollback. Design automated workflows for server build, firmware lifecycle management, patching, and hardware validation Evaluate and standardize enterprise hardware platforms to meet performance, scalability, and reliability requirements Produce detailed high-level and low-level design documentation , build guides, and operational handoff materials Perform deep troubleshooting across storage, Kubernetes, hypervisors, networking, and Linux systems Partner with operations, network, storage, and platform teams to ensure designs are supportable and production-ready Participate in on-call escalation support for complex platform-related issues Collaborate globally on change management , documentation, and operational best practices Minimum Qualifications 6 + years of experience in infrastructure engineering, platform engineering, or DevOps with a strong focus on Compute system design Proven experience designing and automating bare metal compute environments at scale Strong hands-on experience with PXE boot, network-based OS provisioning, and automated server imaging Experience implementing or supporting Bare Metal as a Service (BMaaS) platforms Practical experience using Redfish APIs for hardware provisioning, power management, and remote lifecycle operations Deep expertise with Ubuntu Linux in enterprise environments Strong Hands-on experience with KVM hypervisors (Suse Harvester, OpenStack). Experience designing and deploying production-grade Kubernetes clusters Strong background with enterprise compute hardware platforms , including Cisco UCS, Dell PowerEdge, Supermicro systems & HPE Proficiency with Infrastructure as Code tools (e.g., Terraform, Ansible, or similar) Experience building or supporting CI/CD pipelines for infrastructure and platform automation Strong scripting skills in Python, Bash, or similar languages Demonstrated ability to produce clear, structured technical design documentation Excellent written and verbal communication skills Bachelor's degree in computer science or equivalent professional experience Preferred Qualifications OpenStack, Ubuntu KVM administration. BareMetal as a Service (PXE, Redfish). Kubernetes on BareMetal CIS/NIST security and infrastructure lifecycle management. ITIL Foundation/advanced certifications in support of ITSM standard methodology. Background in telco, edge cloud, or large enterprise environments. Ubuntu Certifications, CNCF Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) Master's degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered What You'll Get A collaborative team that's deeply invested in infrastructure excellence. Complex technical challenges that require creative, scalable solutions. The opportunity to shape a next-generation private cloud platform-built reliability Access to the latest tools, frameworks, and upstream project developments Skills and Attributes: Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents. Generous employee stock purchase plan. Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $82,300-$228,800 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: -pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
Job Description Job Description Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they are online, safely and seamlessly. We're pioneering next-generation identity verification and account protection so that users can control their own identity, and companies can build trust without friction. By enabling trust at scale, we help enterprises reduce fraud, streamline onboarding, and deliver secure user experiences that customers love. The Role We're looking for a Senior Software Engineer to own infrastructure, reliability, and platform engineering at Nametag. You'll design and scale the systems that keep our identity verification platform fast, secure, and always available, and build the tooling that makes our engineering team more productive and autonomous. This is a hands-on, high-impact role. You'll work closely with engineering and product leadership to make critical decisions about how we build, deploy, and operate our systems, and then execute on them. If you've thrived in fast-moving environments and care deeply about uptime, correctness, and developer experience, we'd love to meet you. What You'll Do Infrastructure & Reliability Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure. Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively. Observability & Incident Response Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring. Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. Developer Enablement Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. Data & ML Infrastructure Design and operate data pipelines that support our ML-powered verification systems. Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. Collaboration & Leadership Work closely with engineering and product leadership on technical roadmap decisions. Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders. Ideal Qualifications Work Authorization (Required): Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. This is a firm requirement. The technical qualifications below are guidelines. We know that no candidate will perfectly match every requirement, and that's okay. If you're passionate about what we're building and have most of the skills below, we'd love to hear from you. Cloud & Infrastructure: Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus. Infrastructure-as-Code: Production experience with Terraform or equivalent tools. Databases: Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning. CI/CD: Strong experience designing and managing pipelines, GitHub Actions preferred. Languages: Proficiency in modern, type-safe languages. Go strongly preferred. Observability: Experience building and operating logging, tracing, and metrics systems in production. MLOps & Data Pipelines: Prior experience shipping ML infrastructure into production, not just experimentation. Startup experience: You've worked at an early-stage company and know what it means to move fast without compromising the things that matter. Security: Security-minded by default. You design with the threat model in mind, not as an afterthought. What We Value Intellectual horsepower. Quickly grasping complex technical and business concepts. Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues. Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats. Ownership mindset. You care about uptime and stability the way a founder cares about the product. Compensation The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits. Nametag is a founding member of the Open Imperative, publicly committed to pay equity in the technology industry. We post positions with ranges to encourage people of different backgrounds and experiences to apply. Every offer is benchmarked against market data to ensure fairness and consistency. Final compensation is determined by role, level, and additional factors such as skills, experience, and education. Your recruiter or hiring manager can share more details during the hiring process. Culture & Perks At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together. Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond. Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places. Flexible schedules: Work in your own time zone; we align key meetings across a shared window. We Offer Competitive salary Meaningful equity ownership Comprehensive health benefits (medical, dental, vision) Flexible paid time off Quarterly team off-sites and travel support New computer hardware and equipment An inclusive environment where your voice has impact and your work drives change
08/05/2026
Full time
Job Description Job Description Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they are online, safely and seamlessly. We're pioneering next-generation identity verification and account protection so that users can control their own identity, and companies can build trust without friction. By enabling trust at scale, we help enterprises reduce fraud, streamline onboarding, and deliver secure user experiences that customers love. The Role We're looking for a Senior Software Engineer to own infrastructure, reliability, and platform engineering at Nametag. You'll design and scale the systems that keep our identity verification platform fast, secure, and always available, and build the tooling that makes our engineering team more productive and autonomous. This is a hands-on, high-impact role. You'll work closely with engineering and product leadership to make critical decisions about how we build, deploy, and operate our systems, and then execute on them. If you've thrived in fast-moving environments and care deeply about uptime, correctness, and developer experience, we'd love to meet you. What You'll Do Infrastructure & Reliability Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure. Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively. Observability & Incident Response Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring. Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. Developer Enablement Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. Data & ML Infrastructure Design and operate data pipelines that support our ML-powered verification systems. Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. Collaboration & Leadership Work closely with engineering and product leadership on technical roadmap decisions. Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders. Ideal Qualifications Work Authorization (Required): Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. This is a firm requirement. The technical qualifications below are guidelines. We know that no candidate will perfectly match every requirement, and that's okay. If you're passionate about what we're building and have most of the skills below, we'd love to hear from you. Cloud & Infrastructure: Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus. Infrastructure-as-Code: Production experience with Terraform or equivalent tools. Databases: Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning. CI/CD: Strong experience designing and managing pipelines, GitHub Actions preferred. Languages: Proficiency in modern, type-safe languages. Go strongly preferred. Observability: Experience building and operating logging, tracing, and metrics systems in production. MLOps & Data Pipelines: Prior experience shipping ML infrastructure into production, not just experimentation. Startup experience: You've worked at an early-stage company and know what it means to move fast without compromising the things that matter. Security: Security-minded by default. You design with the threat model in mind, not as an afterthought. What We Value Intellectual horsepower. Quickly grasping complex technical and business concepts. Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues. Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats. Ownership mindset. You care about uptime and stability the way a founder cares about the product. Compensation The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits. Nametag is a founding member of the Open Imperative, publicly committed to pay equity in the technology industry. We post positions with ranges to encourage people of different backgrounds and experiences to apply. Every offer is benchmarked against market data to ensure fairness and consistency. Final compensation is determined by role, level, and additional factors such as skills, experience, and education. Your recruiter or hiring manager can share more details during the hiring process. Culture & Perks At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together. Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond. Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places. Flexible schedules: Work in your own time zone; we align key meetings across a shared window. We Offer Competitive salary Meaningful equity ownership Comprehensive health benefits (medical, dental, vision) Flexible paid time off Quarterly team off-sites and travel support New computer hardware and equipment An inclusive environment where your voice has impact and your work drives change
Job Description Job Description About the Role A growing AI and Data Science team at a healthcare-focused company is looking for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML initiatives. This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll work in a fast-paced environment building production-grade ML solutions that directly impact patient outcomes and healthcare operations - with a strong emphasis on compliance, reliability, and end-to-end ownership. Ideal candidates bring 8+ years of professional ML engineering experience and a mandatory background in the healthcare industry , including hands-on experience with HIPAA-compliant systems and sensitive patient data. What You'll Do Own the full ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, monitoring, retraining, and maintenance. Design and build scalable, production-ready ML systems with high availability, performance, and reliability. Develop and maintain MLOps pipelines - including CI/CD, model registry, feature stores, automated deployment, monitoring, and rollback strategies. Monitor production models for drift (model, data, accuracy degradation) and overall system health. Build and integrate REST APIs to connect ML services into enterprise cloud applications. Optimize models for latency, scalability, reliability, and operational cost. Provide technical leadership on AI/ML initiatives across the organization. Collaborate with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business stakeholders. Ensure strict compliance with HIPAA, PHI, PII, and enterprise security standards throughout all ML workflows. What We're Looking For Required - Dealbreakers: 8+ years of professional software engineering and machine learning experience. Healthcare domain experience is mandatory - including HIPAA compliance and handling of sensitive patient data (PHI/PII). Demonstrated ownership of end-to-end ML lifecycle from data preparation through deployment, monitoring, and retraining. Experience designing and operating production-grade ML systems at scale. Hands-on MLOps: CI/CD pipelines, model registry, feature stores, automated deployment, monitoring, and rollback. Required Technical Skills: Languages: Python, SQL Platforms: Databricks (production), Apache Spark (distributed computing), MLflow, Feature Store, Model Registry Cloud: Azure, AWS, and/or GCP for ML workloads Infrastructure: Docker, Kubernetes, REST APIs, Git, CI/CD pipelines Strong debugging and performance-tuning skills; excellent stakeholder communication. Nice to Have: LLMs in production, prompt engineering, RAG, and/or GenAI applications Scala Azure ML, SageMaker, or Vertex AI Distributed ML architecture design HIPAA-compliant AI solution design experience Compensation & Details Rate: $70-75/hr on W2 (equivalent to $145,600-$156,000 annualized) Type: W2 Contract Visa sponsorship: Not available - open to all work-authorized candidates Location Primary location: San Francisco, CA . Additional locations considered include Los Angeles, CA and New York City, NY. Remote-friendly role.
08/05/2026
Full time
Job Description Job Description About the Role A growing AI and Data Science team at a healthcare-focused company is looking for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML initiatives. This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll work in a fast-paced environment building production-grade ML solutions that directly impact patient outcomes and healthcare operations - with a strong emphasis on compliance, reliability, and end-to-end ownership. Ideal candidates bring 8+ years of professional ML engineering experience and a mandatory background in the healthcare industry , including hands-on experience with HIPAA-compliant systems and sensitive patient data. What You'll Do Own the full ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, monitoring, retraining, and maintenance. Design and build scalable, production-ready ML systems with high availability, performance, and reliability. Develop and maintain MLOps pipelines - including CI/CD, model registry, feature stores, automated deployment, monitoring, and rollback strategies. Monitor production models for drift (model, data, accuracy degradation) and overall system health. Build and integrate REST APIs to connect ML services into enterprise cloud applications. Optimize models for latency, scalability, reliability, and operational cost. Provide technical leadership on AI/ML initiatives across the organization. Collaborate with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business stakeholders. Ensure strict compliance with HIPAA, PHI, PII, and enterprise security standards throughout all ML workflows. What We're Looking For Required - Dealbreakers: 8+ years of professional software engineering and machine learning experience. Healthcare domain experience is mandatory - including HIPAA compliance and handling of sensitive patient data (PHI/PII). Demonstrated ownership of end-to-end ML lifecycle from data preparation through deployment, monitoring, and retraining. Experience designing and operating production-grade ML systems at scale. Hands-on MLOps: CI/CD pipelines, model registry, feature stores, automated deployment, monitoring, and rollback. Required Technical Skills: Languages: Python, SQL Platforms: Databricks (production), Apache Spark (distributed computing), MLflow, Feature Store, Model Registry Cloud: Azure, AWS, and/or GCP for ML workloads Infrastructure: Docker, Kubernetes, REST APIs, Git, CI/CD pipelines Strong debugging and performance-tuning skills; excellent stakeholder communication. Nice to Have: LLMs in production, prompt engineering, RAG, and/or GenAI applications Scala Azure ML, SageMaker, or Vertex AI Distributed ML architecture design HIPAA-compliant AI solution design experience Compensation & Details Rate: $70-75/hr on W2 (equivalent to $145,600-$156,000 annualized) Type: W2 Contract Visa sponsorship: Not available - open to all work-authorized candidates Location Primary location: San Francisco, CA . Additional locations considered include Los Angeles, CA and New York City, NY. Remote-friendly role.
Facility Performance Consulting Limited
San Francisco, California
Job Description Job Description Company Description Company Overview FPC Global are the world's leading digital building experts, we offer full-service integrated technology consultancy and professional services to the built environment. We partner with global clients to improve asset performance, operational efficiency, sustainability outcomes, and digital maturity across complex portfolios. Job Description The Senior Digital Buildings Engineer contributes to integrating various BMS, IoT devices, and facility management systems into a cloud platform, working across different vendors and ecosystems. This platform-agnostic role enables secure, seamless data flow for analytics, remote monitoring, and operational efficiency. The engineer collaborates with global teams across IT, security, and infrastructure, engaging with multiple cloud environments (AWS, Azure, Google Cloud) and diverse technologies. The role requires strong technical adaptability, quick decision-making, and effective communication to support smart, data-driven building operations. In addition to client-facing roles and responsibilities, Senior DB engineer is expected to be an active member of the Digital Buildings Engineering team, to make a positive contribution to the development of the team and wider FPC business, working effectively with all FPC colleagues to successfully deliver projects and support FPC's business objectives. Key Responsibilities The responsibilities for the Senior Digital Buildings Engineer include, but are not limited to, the following key areas: To ensure smooth integration, optimization, and security of applications on cloud platforms. Troubleshoot issues, manage performance, and align cloud solutions with business objectives. Delivery of technical and some non technical (as training and knowledge allows) related engineering Services and projects for clients in accordance with the Proposal, Scope of Work (SoW) and/or Engagement Letter. Manage own workload, communicating and escalating any issues to line manager accordingly Performance Evaluation Audits Carry out research and technical analysis across engineering systems to inform project work. Conduct non-intrusive on-site physical building inspections and remote network discoveries to identify all IP-capable IoT/OT devices and control systems (BAS/BMS, HVAC, Lighting, EMS). Map exact physical device locations and compile comprehensive site data registers Interview local facility management teams and sub-contractors on-site to document localized network architecture and configuration parameters. Promptly escalate any critical operational, energy performance, data anomaly or cybersecurity risks identified during field deployment to senior technical governance teams. Lead the production of technical reports, documentation, and project outputs. Building System Integration Assess and analyze existing building systems, including BMS, HVAC, lighting, energy, and IoT devices. Map and document building systems architecture to ensure compatibility with cloud migration strategies. Cloud Onboarding & Configuration Configure cloud infrastructure to receive and process data from various building systems. Develop and implement data flow protocols from on-premises building systems to cloud platforms, ensuring data quality and integrity. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to set up required services, storage, and data processing pipelines. Data Management & Security Ensure compliance with cybersecurity and data privacy policies in data transfer and cloud storage. Implement encryption, authentication, and access control measures to protect building and operational data. Data Analytics and Reporting Analyse system data to generate insights on performance, sustainability, and operations. Prepare detailed reports on building operations for stakeholders. Preferred knowledge of Apps Scripts Collaboration & Stakeholder Engagement Liaise with IT, facility management, and operations teams to understand building system requirements and constraints. Provide technical support and training to on-site staff on cloud-based building management tools. Testing & Troubleshooting Conduct pre- and post-onboarding testing to validate data integrity and system performance. Identify, troubleshoot, and resolve issues related to data transmission, system compatibility, and network connectivity. Documentation & Reporting Maintain comprehensive documentation of onboarding processes, system configurations, and cloud settings. Generate regular reports on onboarding status, system performance, and key metrics Mentorship Mentor and train DB engineers, sharing knowledge and best practices to enhance the overall capabilities of the team. Act as a subject matter expert, supporting the team in complex problem-solving and guiding them in engineering solutions and customer service excellence. Lead knowledge-sharing sessions and help develop documentation and training resources for ongoing team development. Innovation & Culture Contribute to improving project delivery processes, tools, and frameworks Support lessons learned, knowledge sharing, and continuous improvement initiatives Encourage adoption of best practices and efficient ways of working Promote a collaborative and high-performance team culture FPC Corporate Responsibilities Represent FPC professionally in all client and internal interactions Lead and support project teams, fostering collaboration and performance Adhere to company policies, governance standards, and reporting requirements Support continuous improvement across delivery operations Qualifications Skills and Experience Essential: Bachelor's degree Controls engineering or a related field. Industry Expertise Typically 7-12 years of experience in design and configuration of building automation systems, cloud integration, or IT infrastructure roles. Systems Integration related projects or related industries such as Architecture, MEP Engineering Design or Construction. Strong understanding of MEP Engineering, cybersecurity best practices, energy performance analytics. Knowledge of edge computing and data preprocessing methods for IoT systems. Technical Skills Basic technical understanding in delivering digital / smart building and IoT technology projects, including some or all of the following: Digital Building Systems Integration design, development and implementation Digital Building Controls Systems Cybersecurity best practices IP Networking (IPV4, IPV6, Switching, Routing, DHCP, WiFi, Structured Cabling, etc.) System Audits & Site Surveys Soft Skills Analytical Skills: Ability to interpret building performance data, identify trends, and develop actionable insights for continuous improvement. Client-Focused: Excellent client relationship management skills with the ability to communicate technical information effectively. Process Improvement: Proven experience in understanding and contributing to SOPs, MOPs, and RACIs, with a focus on process optimisation and standardisation. Problem Solving: Strong troubleshooting skills with a proactive approach to resolving technical issues remotely. Leadership and Mentorship: Proven ability to lead, mentor, and develop junior team members in incident management and operational best practices. Desirable: Experience with BMS systems like Niagara, Delmatic, Delta, LoRaWAN. Certifications in any of these are beneficial . Cloud platforms (AWS, Azure, or Google Cloud) and relevant cloud services (data storage, IoT hubs, etc.). Certification in any of the cloud platforms is beneficial. Personal Attributes Highly professional, with unwavering honesty and integrity. Exceptional communicator and client-relationship builder. A continuous and agile learner. A systems thinker with attention to detail. A strategic thinker with the ability to translate vision into action. Success Measures To be agreed with role specific assignments and career planning with the hiring manager. Additional Information At FPC, we're not just a company - we're a thriving community of technology and engineering specialists where innovation flourishes, ideas are celebrated, and careers are shaped. When you join us, you become part of a dynamic team that: Shapes the Future: Work on groundbreaking projects that are redefining industries with sustainability, cutting-edge technology, and bold ambition. Supports Your Growth: From leadership training to cross-functional collaboration, we prioritize your professional development and empower you to explore new ideas, take initiative, and grow in your career. Values Balance and Inclusion: We celebrate diversity, foster collaboration, and ensure every voice is heard-while maintaining a strong commitment to work-life balance. Creates Impact: Contribute to the delivery of iconic, high-performance buildings and innovative solutions that have a lasting, positive impact on the world.
08/05/2026
Full time
Job Description Job Description Company Description Company Overview FPC Global are the world's leading digital building experts, we offer full-service integrated technology consultancy and professional services to the built environment. We partner with global clients to improve asset performance, operational efficiency, sustainability outcomes, and digital maturity across complex portfolios. Job Description The Senior Digital Buildings Engineer contributes to integrating various BMS, IoT devices, and facility management systems into a cloud platform, working across different vendors and ecosystems. This platform-agnostic role enables secure, seamless data flow for analytics, remote monitoring, and operational efficiency. The engineer collaborates with global teams across IT, security, and infrastructure, engaging with multiple cloud environments (AWS, Azure, Google Cloud) and diverse technologies. The role requires strong technical adaptability, quick decision-making, and effective communication to support smart, data-driven building operations. In addition to client-facing roles and responsibilities, Senior DB engineer is expected to be an active member of the Digital Buildings Engineering team, to make a positive contribution to the development of the team and wider FPC business, working effectively with all FPC colleagues to successfully deliver projects and support FPC's business objectives. Key Responsibilities The responsibilities for the Senior Digital Buildings Engineer include, but are not limited to, the following key areas: To ensure smooth integration, optimization, and security of applications on cloud platforms. Troubleshoot issues, manage performance, and align cloud solutions with business objectives. Delivery of technical and some non technical (as training and knowledge allows) related engineering Services and projects for clients in accordance with the Proposal, Scope of Work (SoW) and/or Engagement Letter. Manage own workload, communicating and escalating any issues to line manager accordingly Performance Evaluation Audits Carry out research and technical analysis across engineering systems to inform project work. Conduct non-intrusive on-site physical building inspections and remote network discoveries to identify all IP-capable IoT/OT devices and control systems (BAS/BMS, HVAC, Lighting, EMS). Map exact physical device locations and compile comprehensive site data registers Interview local facility management teams and sub-contractors on-site to document localized network architecture and configuration parameters. Promptly escalate any critical operational, energy performance, data anomaly or cybersecurity risks identified during field deployment to senior technical governance teams. Lead the production of technical reports, documentation, and project outputs. Building System Integration Assess and analyze existing building systems, including BMS, HVAC, lighting, energy, and IoT devices. Map and document building systems architecture to ensure compatibility with cloud migration strategies. Cloud Onboarding & Configuration Configure cloud infrastructure to receive and process data from various building systems. Develop and implement data flow protocols from on-premises building systems to cloud platforms, ensuring data quality and integrity. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to set up required services, storage, and data processing pipelines. Data Management & Security Ensure compliance with cybersecurity and data privacy policies in data transfer and cloud storage. Implement encryption, authentication, and access control measures to protect building and operational data. Data Analytics and Reporting Analyse system data to generate insights on performance, sustainability, and operations. Prepare detailed reports on building operations for stakeholders. Preferred knowledge of Apps Scripts Collaboration & Stakeholder Engagement Liaise with IT, facility management, and operations teams to understand building system requirements and constraints. Provide technical support and training to on-site staff on cloud-based building management tools. Testing & Troubleshooting Conduct pre- and post-onboarding testing to validate data integrity and system performance. Identify, troubleshoot, and resolve issues related to data transmission, system compatibility, and network connectivity. Documentation & Reporting Maintain comprehensive documentation of onboarding processes, system configurations, and cloud settings. Generate regular reports on onboarding status, system performance, and key metrics Mentorship Mentor and train DB engineers, sharing knowledge and best practices to enhance the overall capabilities of the team. Act as a subject matter expert, supporting the team in complex problem-solving and guiding them in engineering solutions and customer service excellence. Lead knowledge-sharing sessions and help develop documentation and training resources for ongoing team development. Innovation & Culture Contribute to improving project delivery processes, tools, and frameworks Support lessons learned, knowledge sharing, and continuous improvement initiatives Encourage adoption of best practices and efficient ways of working Promote a collaborative and high-performance team culture FPC Corporate Responsibilities Represent FPC professionally in all client and internal interactions Lead and support project teams, fostering collaboration and performance Adhere to company policies, governance standards, and reporting requirements Support continuous improvement across delivery operations Qualifications Skills and Experience Essential: Bachelor's degree Controls engineering or a related field. Industry Expertise Typically 7-12 years of experience in design and configuration of building automation systems, cloud integration, or IT infrastructure roles. Systems Integration related projects or related industries such as Architecture, MEP Engineering Design or Construction. Strong understanding of MEP Engineering, cybersecurity best practices, energy performance analytics. Knowledge of edge computing and data preprocessing methods for IoT systems. Technical Skills Basic technical understanding in delivering digital / smart building and IoT technology projects, including some or all of the following: Digital Building Systems Integration design, development and implementation Digital Building Controls Systems Cybersecurity best practices IP Networking (IPV4, IPV6, Switching, Routing, DHCP, WiFi, Structured Cabling, etc.) System Audits & Site Surveys Soft Skills Analytical Skills: Ability to interpret building performance data, identify trends, and develop actionable insights for continuous improvement. Client-Focused: Excellent client relationship management skills with the ability to communicate technical information effectively. Process Improvement: Proven experience in understanding and contributing to SOPs, MOPs, and RACIs, with a focus on process optimisation and standardisation. Problem Solving: Strong troubleshooting skills with a proactive approach to resolving technical issues remotely. Leadership and Mentorship: Proven ability to lead, mentor, and develop junior team members in incident management and operational best practices. Desirable: Experience with BMS systems like Niagara, Delmatic, Delta, LoRaWAN. Certifications in any of these are beneficial . Cloud platforms (AWS, Azure, or Google Cloud) and relevant cloud services (data storage, IoT hubs, etc.). Certification in any of the cloud platforms is beneficial. Personal Attributes Highly professional, with unwavering honesty and integrity. Exceptional communicator and client-relationship builder. A continuous and agile learner. A systems thinker with attention to detail. A strategic thinker with the ability to translate vision into action. Success Measures To be agreed with role specific assignments and career planning with the hiring manager. Additional Information At FPC, we're not just a company - we're a thriving community of technology and engineering specialists where innovation flourishes, ideas are celebrated, and careers are shaped. When you join us, you become part of a dynamic team that: Shapes the Future: Work on groundbreaking projects that are redefining industries with sustainability, cutting-edge technology, and bold ambition. Supports Your Growth: From leadership training to cross-functional collaboration, we prioritize your professional development and empower you to explore new ideas, take initiative, and grow in your career. Values Balance and Inclusion: We celebrate diversity, foster collaboration, and ensure every voice is heard-while maintaining a strong commitment to work-life balance. Creates Impact: Contribute to the delivery of iconic, high-performance buildings and innovative solutions that have a lasting, positive impact on the world.
Job Description Job Description Zoox is building fully autonomous vehicles designed from the ground up for robotaxi service - and as we scale toward launch, our engineering infrastructure has to scale with us. We're hiring a Staff Site Reliability Engineer to own source control at Zoox, serving as the technical lead for the platform that every engineer depends on daily. This is a hands-on lead role. You'll set the direction for our Git-based monorepo, drive a potential migration to GitHub Cloud, build the tooling that smooths developer workflows, and partner with platform, security, and product teams to make source control a strategic asset rather than a bottleneck. The ideal candidate leads by building - with deep expertise in monorepo management (branching strategies, code review workflows, access controls, CI/CD) and a track record of improving developer productivity through code, not just guidance. You take ownership, measure what matters, and have the technical credibility to make decisions stick. In this role, you will: Own the technical strategy and roadmap for source control - GitHub Enterprise today, GitHub Cloud tomorrow - and write the core code that makes it real. Plan and execute a full migration from GitHub Enterprise to GitHub Cloud: scoping, design, implementation, cutover, and validation, in partnership with security, platform, and engineering teams. Build and operate monorepo scalability improvements across repo structure, branch strategy, code ownership, large-file handling, and CI integration - including the scripts, hooks, and automation that make them stick. Develop the guardrails and developer-facing tooling that reduce toil for SRE and product engineering alike, measured by build times, merge friction, and interrupt volume. Set the technical bar through code reviews, design proposals, and pairing - and serve as the hands-on authority for source control decisions across Zoox engineering Qualifications 5+ years operating GitHub Enterprise (or equivalent) at scale, with hands-on experience scaling a large monorepo for an org of several hundred or more engineers. Strong CI/CD integration background (Buildkite, GitHub Actions, Jenkins, or GitLab CI) across code review workflows, build triggers, branch policies, and merge automation. Experience with infrastructure as code (Terraform, Pulumi, or equivalent), major cloud platforms, and executing platform migrations against active codebases. Strong technical leadership and written communication; able to drive alignment across infrastructure, security, and product engineering. Bonus Qualifications Direct experience migrating from GitHub Enterprise Server to GitHub Cloud. Familiarity with monorepo build tooling (Bazel, Buck, or similar) and supply-chain hardening practices (signed commits, dependency governance, secret scanning). Experience with code review tooling layered on top of GitHub (Reviewable, Gerrit, or similar). 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 Zoox is building fully autonomous vehicles designed from the ground up for robotaxi service - and as we scale toward launch, our engineering infrastructure has to scale with us. We're hiring a Staff Site Reliability Engineer to own source control at Zoox, serving as the technical lead for the platform that every engineer depends on daily. This is a hands-on lead role. You'll set the direction for our Git-based monorepo, drive a potential migration to GitHub Cloud, build the tooling that smooths developer workflows, and partner with platform, security, and product teams to make source control a strategic asset rather than a bottleneck. The ideal candidate leads by building - with deep expertise in monorepo management (branching strategies, code review workflows, access controls, CI/CD) and a track record of improving developer productivity through code, not just guidance. You take ownership, measure what matters, and have the technical credibility to make decisions stick. In this role, you will: Own the technical strategy and roadmap for source control - GitHub Enterprise today, GitHub Cloud tomorrow - and write the core code that makes it real. Plan and execute a full migration from GitHub Enterprise to GitHub Cloud: scoping, design, implementation, cutover, and validation, in partnership with security, platform, and engineering teams. Build and operate monorepo scalability improvements across repo structure, branch strategy, code ownership, large-file handling, and CI integration - including the scripts, hooks, and automation that make them stick. Develop the guardrails and developer-facing tooling that reduce toil for SRE and product engineering alike, measured by build times, merge friction, and interrupt volume. Set the technical bar through code reviews, design proposals, and pairing - and serve as the hands-on authority for source control decisions across Zoox engineering Qualifications 5+ years operating GitHub Enterprise (or equivalent) at scale, with hands-on experience scaling a large monorepo for an org of several hundred or more engineers. Strong CI/CD integration background (Buildkite, GitHub Actions, Jenkins, or GitLab CI) across code review workflows, build triggers, branch policies, and merge automation. Experience with infrastructure as code (Terraform, Pulumi, or equivalent), major cloud platforms, and executing platform migrations against active codebases. Strong technical leadership and written communication; able to drive alignment across infrastructure, security, and product engineering. Bonus Qualifications Direct experience migrating from GitHub Enterprise Server to GitHub Cloud. Familiarity with monorepo build tooling (Bazel, Buck, or similar) and supply-chain hardening practices (signed commits, dependency governance, secret scanning). Experience with code review tooling layered on top of GitHub (Reviewable, Gerrit, or similar). 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 About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to $1B run rate and pay $60M to over 30K individuals every month. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role As a Platform Engineer at Handshake AI Enterprise, you'll own the infrastructure layer that makes everything else possible. Enterprise customers don't want their data in shared infrastructure - they want AI applications deployed inside their own environments, on their terms. You'll be the engineer who makes that happen, reliably and at speed. You'll design and execute deployment patterns across VPC, on-prem, and self-hosted configurations, work directly with customer IT and security teams, and build the tooling that makes each new deployment faster than the last. Without you, nothing ships. We're looking for engineers across a range of experience - people who've already shipped infrastructure into demanding enterprise environments, and those ready to define what the platform playbook looks like from the ground up. This is a founding-team role with real technical complexity and direct customer impact - building the platform that Handshake AI Enterprise runs on. Own the infrastructure and deployment layer for AI applications shipped into enterprise customer environments Design and execute VPC, on-prem, and self-hosted deployment patterns across varying enterprise security requirements Work directly with customer IT and security teams to navigate compliance, data residency, and access control constraints Build tooling and automation that makes deployments repeatable and reliable across customers Collaborate closely with Product and Applied AI engineers on your deployment team Identify systemic gaps in infrastructure or process and lead initiatives to address them, reducing friction for future deployments Define the platform playbook for Handshake AI Enterprise as we scale to more customers and more complex environments Desired Capabilities Strong backend and infrastructure engineering experience Hands-on experience deploying applications into enterprise environments - VPC deployments, on-prem, and self-hosted configurations Deep understanding of enterprise security requirements: data segregation, access controls, compliance frameworks Experience working directly with external customers in a deployment or field engineering context Strong operational mindset - you care about reliability, observability, and repeatability at scale Comfort in ambiguous, fast-moving environments where the requirements are defined as you go Extra Credit Experience at an infrastructure company that offers self-hosted or on-prem deployment options Familiarity with authentication, secrets management, and zero-trust networking Experience building internal deployment tooling or platform abstractions that improved team velocity Background working alongside applied AI or ML systems in production environments Location: San Francisco, CA 5 days/week in-office Perks Handshake delivers benefits that help you feel supported-and thrive at work and in life. The below benefits are for full-time US employees. ? Ownership: Equity in a fast-growing company ? Financial Wellness : 401(k) match, competitive compensation, financial coaching ? Family Support: Paid parental leave, fertility benefits, parental coaching ? Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend ? Growth: $2,000 learning stipend, ongoing development ? Remote & Office: Internet, commuting, and free lunch/gym in our SF office ? Time Off: Flexible PTO, 15 holidays + 2 flex days ? Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at Compensation Range: $155K - $300K
08/05/2026
Full time
Job Description Job Description About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to $1B run rate and pay $60M to over 30K individuals every month. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role As a Platform Engineer at Handshake AI Enterprise, you'll own the infrastructure layer that makes everything else possible. Enterprise customers don't want their data in shared infrastructure - they want AI applications deployed inside their own environments, on their terms. You'll be the engineer who makes that happen, reliably and at speed. You'll design and execute deployment patterns across VPC, on-prem, and self-hosted configurations, work directly with customer IT and security teams, and build the tooling that makes each new deployment faster than the last. Without you, nothing ships. We're looking for engineers across a range of experience - people who've already shipped infrastructure into demanding enterprise environments, and those ready to define what the platform playbook looks like from the ground up. This is a founding-team role with real technical complexity and direct customer impact - building the platform that Handshake AI Enterprise runs on. Own the infrastructure and deployment layer for AI applications shipped into enterprise customer environments Design and execute VPC, on-prem, and self-hosted deployment patterns across varying enterprise security requirements Work directly with customer IT and security teams to navigate compliance, data residency, and access control constraints Build tooling and automation that makes deployments repeatable and reliable across customers Collaborate closely with Product and Applied AI engineers on your deployment team Identify systemic gaps in infrastructure or process and lead initiatives to address them, reducing friction for future deployments Define the platform playbook for Handshake AI Enterprise as we scale to more customers and more complex environments Desired Capabilities Strong backend and infrastructure engineering experience Hands-on experience deploying applications into enterprise environments - VPC deployments, on-prem, and self-hosted configurations Deep understanding of enterprise security requirements: data segregation, access controls, compliance frameworks Experience working directly with external customers in a deployment or field engineering context Strong operational mindset - you care about reliability, observability, and repeatability at scale Comfort in ambiguous, fast-moving environments where the requirements are defined as you go Extra Credit Experience at an infrastructure company that offers self-hosted or on-prem deployment options Familiarity with authentication, secrets management, and zero-trust networking Experience building internal deployment tooling or platform abstractions that improved team velocity Background working alongside applied AI or ML systems in production environments Location: San Francisco, CA 5 days/week in-office Perks Handshake delivers benefits that help you feel supported-and thrive at work and in life. The below benefits are for full-time US employees. ? Ownership: Equity in a fast-growing company ? Financial Wellness : 401(k) match, competitive compensation, financial coaching ? Family Support: Paid parental leave, fertility benefits, parental coaching ? Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend ? Growth: $2,000 learning stipend, ongoing development ? Remote & Office: Internet, commuting, and free lunch/gym in our SF office ? Time Off: Flexible PTO, 15 holidays + 2 flex days ? Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at Compensation Range: $155K - $300K
Date Posted: 2026-07-30 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Within SE&TC, Life Cycle Engineering (LCE) is responsible for ensuring our products are Safe, Reliable, Maintainable and delivered on time. Life Cycle Engineering consists of multiple disciplines that support engineering, our program offices and our customers. Our Life Cycle Engineering disciplines participate in the total life cycle of our products from conception to deactivation. Our focus area is product support, including the following disciplines: Logistics, Technical Manuals, Training, Reliability, Maintainability, Supportability and Repair. What You Will Do : As a Sustainment Data Analyst, you'll be assigned to one or more LTAMDS or IRAD programs and will be responsible for providing innovative and trusted solutions that optimize the efficiency and effectiveness of the Land and Air Defense products and services over their life cycle. You'll accomplish this mission by leveraging existing and new capabilities being developed within sustainment and by working with the following entities: Systems, Software and Hardware design organizations Engineering Cross Product Teams (CPTs) LTAMDS Integrated Product Teams (IPTs) Chief Engineers, Program Directors and Program Managers National and International Customers Domestic and International Travel May Be Required This position will be based in Tewksbury, MA. What You Will Do: Responsibilities include the following: Manage highly agile teams (5-10 employees) Develop Long-Term Roadmaps for technology development Support of Open source and FOSS integration with D4 data pipeline Development capabilities in alignment with modern programming languages Support and manage projects ranging from Small to Large scale investment Balance project budget up to 750K+ in cost Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 8 years of prior engineering experience or equivalent experience. Experience of Agile development Product lead Experience Qualifications We Prefer: Experience using program management tools such as Earned Value Management System (EVMS) or similar tools Ability to lead, along with peers, the development of long-range plans to capitalize on future opportunities Ability to overcome obstacles and negotiate change Demonstrated comprehensive planning skills with the ability to analyze technical and financial data and reports Exceptional judgment and decision-making A candidate who demonstrates initiative, quickly learns processes, and is capable of independently managing tasks and driving them to completion What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/05/2026
Full time
Date Posted: 2026-07-30 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Within SE&TC, Life Cycle Engineering (LCE) is responsible for ensuring our products are Safe, Reliable, Maintainable and delivered on time. Life Cycle Engineering consists of multiple disciplines that support engineering, our program offices and our customers. Our Life Cycle Engineering disciplines participate in the total life cycle of our products from conception to deactivation. Our focus area is product support, including the following disciplines: Logistics, Technical Manuals, Training, Reliability, Maintainability, Supportability and Repair. What You Will Do : As a Sustainment Data Analyst, you'll be assigned to one or more LTAMDS or IRAD programs and will be responsible for providing innovative and trusted solutions that optimize the efficiency and effectiveness of the Land and Air Defense products and services over their life cycle. You'll accomplish this mission by leveraging existing and new capabilities being developed within sustainment and by working with the following entities: Systems, Software and Hardware design organizations Engineering Cross Product Teams (CPTs) LTAMDS Integrated Product Teams (IPTs) Chief Engineers, Program Directors and Program Managers National and International Customers Domestic and International Travel May Be Required This position will be based in Tewksbury, MA. What You Will Do: Responsibilities include the following: Manage highly agile teams (5-10 employees) Develop Long-Term Roadmaps for technology development Support of Open source and FOSS integration with D4 data pipeline Development capabilities in alignment with modern programming languages Support and manage projects ranging from Small to Large scale investment Balance project budget up to 750K+ in cost Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 8 years of prior engineering experience or equivalent experience. Experience of Agile development Product lead Experience Qualifications We Prefer: Experience using program management tools such as Earned Value Management System (EVMS) or similar tools Ability to lead, along with peers, the development of long-range plans to capitalize on future opportunities Ability to overcome obstacles and negotiate change Demonstrated comprehensive planning skills with the ability to analyze technical and financial data and reports Exceptional judgment and decision-making A candidate who demonstrates initiative, quickly learns processes, and is capable of independently managing tasks and driving them to completion What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
