50 jobs found in Charleston

Job DescriptionJob DescriptionDescription: Senior System Engineer Xtreme Solutions Inc. Air Force Medical Expeditionary Systems Location: Remote with travel to the Area of Responsibility. Status: Key personnel opportunity. Hiring is contingent on contract award. The opportunity Apply hands-on military health IT engineering to the systems that support deployed care. Help connect enterprise infrastructure, theater applications, and testing so medical teams can rely on their technology. Xtreme Solutions is pursuing an Air Force Medical Expeditionary Systems (MEDXS) contract and seeking qualified candidates for this key personnel position. What you will do Engineer and sustain military health IT systems and enterprise network nodes. Support OCONUS theater mobilization and implement, configure, and sustain TMIP-J applications. Work with DAF standard server and workstation baseline images. Support medical waivers workflow systems and enterprise medical analytics dashboards. Support integrated IM/IT testing in physical and virtual environments. Requirements: Required qualifications Hands-on experience covering military health IT, enterprise network nodes, OCONUS theater mobilization, TMIP-J, DAF baseline images, medical waivers, analytics dashboards, and integrated testing. Active Secret security clearance on Day 1, with clearance verification for proposal readiness. Valid U.S. passport with at least 18 months remaining on Day 1; required passport copy for proposal readiness. Proven personnel deployment management, SPOT experience, and management of host-nation theater clearance or DOCPER requirements across multiple OCONUS AORs. Day 1 availability and willingness to sign a Letter of Commitment covering availability and no substitution during the first 180 days except for sudden illness, death, or termination of employment. Ability to meet the stated location and travel requirements. Applicable DoDM 8140.03 foundational qualifications for the assigned DCWF work role and level must be met before independently performing covered duties. Preferred experience 10 or more years of relevant experience.

Job DescriptionJob DescriptionAbout Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes-from emerging brands to Fortune 500s-use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity: Flexport IT is looking for a Senior IT Systems Engineer to support our SaaS based Collaboration and Endpoint Management platforms. In this role, you will be responsible for the configuration, integration, administration, and support of Google Workspace, Slack, Office365, Confluence, Jira, Okta, Jamf, and Intune. You will play a critical role in ensuring these platforms are secure, scalable, and optimized. The candidate will have broad knowledge across IT as a whole, in-depth hands on working knowledge, and a strong security mindset. Your expertise will be critical in automating workflows, protecting sensitive systems and data, mitigating security risks, and maintaining compliance. You will work closely with cross-functional teams, lead IT engineering projects, and provide day to day operations support. You Will Administer and provide escalation support for our SaaS platforms. Implement and maintain policies, software deployment, patching, and security compliance for our Mac and Windows endpoints, using Jamf and Intune. Own the lifecycle management across our core collaboration and endpoint management platforms. Develop automation scripts and workflows to improve administrative efficiency and user experience (e.g., Python, PowerShell, Okta Workflows). Monitor system health, performance, and usage; proactively resolve or escalate issues. Collaborate with cross-functional teams (Security, Engineering, HR, Legal) to ensure proper alignment and integration of SaaS tools with company infrastructure and processes. Perform investigations/discovery across our systems for Legal and HR. Assist in vendor management and product evaluations. Drive solutions and project work. Onboard new applications for single sign-on. Develop and maintain technical operating procedures, policies, and engineering roadmaps. Work closely with the Security team to ensure the platform is designed and implemented with security best practices. Provide Tier 3 IT support. You Should Have Bachelor's degree in Computer Science or related field (or comparable experience). 3+ years of experience in supporting SaaS Collaboration tools, Mac and Windows endpoint management. Ability to communicate and collaborate effectively across technical and non-technical teams. In-depth knowledge of email delivery flow, IT security, and IAM concepts. Understanding of RBAC and permissions models across core SaaS applications. Scripting and automation experience. Strong problem-solving and analytical skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. California Pay Range $130,000-$172,000 USD Washington Pay Range $115,200-$144,000 USD Colorado Pay Range $105,600-$132,000 USD New York City Pay Range $115,200-$144,000 USD Illinois Pay Range $105,600-$132,000 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at for additional information.

Job DescriptionJob DescriptionAbout Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes-from emerging brands to Fortune 500s-use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity: Flexport IT is looking for a Senior IT Systems Engineer to support our SaaS based Collaboration and Endpoint Management platforms. In this role, you will be responsible for the configuration, integration, administration, and support of Google Workspace, Slack, Office365, Confluence, Jira, Okta, Jamf, and Intune. You will play a critical role in ensuring these platforms are secure, scalable, and optimized. The candidate will have broad knowledge across IT as a whole, in-depth hands on working knowledge, and a strong security mindset. Your expertise will be critical in automating workflows, protecting sensitive systems and data, mitigating security risks, and maintaining compliance. You will work closely with cross-functional teams, lead IT engineering projects, and provide day to day operations support. You Will Administer and provide escalation support for our SaaS platforms. Implement and maintain policies, software deployment, patching, and security compliance for our Mac and Windows endpoints, using Jamf and Intune. Own the lifecycle management across our core collaboration and endpoint management platforms. Develop automation scripts and workflows to improve administrative efficiency and user experience (e.g., Python, PowerShell, Okta Workflows). Monitor system health, performance, and usage; proactively resolve or escalate issues. Collaborate with cross-functional teams (Security, Engineering, HR, Legal) to ensure proper alignment and integration of SaaS tools with company infrastructure and processes. Perform investigations/discovery across our systems for Legal and HR. Assist in vendor management and product evaluations. Drive solutions and project work. Onboard new applications for single sign-on. Develop and maintain technical operating procedures, policies, and engineering roadmaps. Work closely with the Security team to ensure the platform is designed and implemented with security best practices. Provide Tier 3 IT support. You Should Have Bachelor's degree in Computer Science or related field (or comparable experience). 3+ years of experience in supporting SaaS Collaboration tools, Mac and Windows endpoint management. Ability to communicate and collaborate effectively across technical and non-technical teams. In-depth knowledge of email delivery flow, IT security, and IAM concepts. Understanding of RBAC and permissions models across core SaaS applications. Scripting and automation experience. Strong problem-solving and analytical skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. California Pay Range $130,000-$172,000 USD Washington Pay Range $115,200-$144,000 USD Colorado Pay Range $105,600-$132,000 USD New York City Pay Range $115,200-$144,000 USD Illinois Pay Range $105,600-$132,000 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at for additional information.

Job DescriptionJob Description Advanced Automation Corporation (AAC) is looking for a Systems Engineer to join an already high-performing team. The candidate is expected to be familiar with the System Engineering Life Cycle, with significant expertise in requirements management. The primary role will be to elicit, collect, develop, and migrate system and sub-system level requirements to support a large-scale enterprise system. The successful candidate will: Establish specific, reliable, and testable requirements that lend themselves to independent validation and verification and/or perform the independent validation/verification Migrate requirements, and traceable relationships, from documents or other requirements management software to DOORS Next, a requirements management tool Develop interface requirements that consistently document the dependencies adopted by various parties responsible for implementing a system/sub-system Establish, coordinate, and/or participate in technical reviews Work seamlessly with engineers of various disciplines Have familiarity with IBM Engineering Lifecycle Management tools, or similar tool sets This position is full-time remote on a 4-month contract, with a potential for contract extension. Requirements Minimum Qualifications and Skills: A Bachelor of Science (BS) in an Engineering Discipline US citizenship, with the ability to obtain and maintain a DOE Q clearance Strong communication skills and able to use common desktop productivity tools including MS Office An ability to work both in a team or independently as required Extensive knowledge of the Systems Engineering Lifecycle 10 years of prior related work experience in Systems Engineering and/or Requirements Engineering Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan - 401k Employer Paid Life Insurance (Basic) FSA (Flexible Spending Account) Paid Time Off Paid Sick Leave Paid Holidays Off AFLAC (Supplementary Insurance) Tuition Reimbursement Program Work From Home EEO Statement Advanced Automation Corporation is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, sexual orientation, gender identity, status as a protected veteran, or status as a qualified individual with a disability.

Job DescriptionJob Description Advanced Automation Corporation (AAC) is looking for a Systems Engineer to join an already high-performing team. The candidate is expected to be familiar with the System Engineering Life Cycle, with significant expertise in requirements management. The primary role will be to elicit, collect, develop, and migrate system and sub-system level requirements to support a large-scale enterprise system. The successful candidate will: Establish specific, reliable, and testable requirements that lend themselves to independent validation and verification and/or perform the independent validation/verification Migrate requirements, and traceable relationships, from documents or other requirements management software to DOORS Next, a requirements management tool Develop interface requirements that consistently document the dependencies adopted by various parties responsible for implementing a system/sub-system Establish, coordinate, and/or participate in technical reviews Work seamlessly with engineers of various disciplines Have familiarity with IBM Engineering Lifecycle Management tools, or similar tool sets This position is full-time remote on a 4-month contract, with a potential for contract extension. Requirements Minimum Qualifications and Skills: A Bachelor of Science (BS) in an Engineering Discipline US citizenship, with the ability to obtain and maintain a DOE Q clearance Strong communication skills and able to use common desktop productivity tools including MS Office An ability to work both in a team or independently as required Extensive knowledge of the Systems Engineering Lifecycle 10 years of prior related work experience in Systems Engineering and/or Requirements Engineering Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan - 401k Employer Paid Life Insurance (Basic) FSA (Flexible Spending Account) Paid Time Off Paid Sick Leave Paid Holidays Off AFLAC (Supplementary Insurance) Tuition Reimbursement Program Work From Home EEO Statement Advanced Automation Corporation is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, sexual orientation, gender identity, status as a protected veteran, or status as a qualified individual with a disability.

Job DescriptionJob Description Job Description Summary The System Engineer II, Infrastructure Cloud Delivery Security/Information Solutions, reports to the Team Leader-Hosting Services in support of MUSC's academic, research and healthcare missions. Under indirect supervision, the System, Engineer II, Infrastructure Cloud Delivery Security/Information Solutions, provides a variety of operational, consultative and collaborative functions within Information Solutions. This position assists with the development, implementation and maintenance of the Hosting Services - Server systems. Participates in team and project meetings and provides input on intelligent solutions to improve efficiency. Provides proactive and reactive technical support, maintains high professional standards and exhibits excellent customer service skills while performing assigned tasks. Entity Medical University Hospital Authority (MUHA) Worker Type Employee Worker Sub-Type Regular Cost Center CC002316 SYS - IS Infrastructure Cloud Delivery Security Pay Rate Type Salary Pay Grade Health-29 Scheduled Weekly Hours 40 Work Shift Job Description The System Engineer II, Infrastructure Cloud Delivery Security/Information Solutions, reports to the Team Leader-Hosting Services in support of MUSC's academic, research and healthcare missions. Under indirect supervision, the System, Engineer II, Infrastructure Cloud Delivery Security/Information Solutions, provides a variety of operational, consultative and collaborative functions within Information Solutions. This position assists with the development, implementation and maintenance of the Hosting Services - Server systems. Participates in team and project meetings and provides input on intelligent solutions to improve efficiency. Provides proactive and reactive technical support, maintains high professional standards and exhibits excellent customer service skills while performing assigned tasks. Additional Job Description Required Education/Skills/Work Experience: A high school diploma and four years directly related experience; or a bachelor's degree and two years directly related experience required or a Masters' Degree in a related field. Excellent interpersonal, analytical, customer service and communication skills required. Physical Requirements Mobility & Posture Standing: Continuous Sitting: Continuous Walking: Continuous Climbing stairs: Infrequent Working indoors: Continuous Working outdoors (temperature extremes): Infrequent Working from elevated areas: Frequent Working in confined/cramped spaces: Frequent Kneeling: Infrequent Bending at the waist: Continuous Twisting at the waist: Frequent Squatting: Frequent Manual Dexterity & Strength Pinching operations: Frequent Gross motor use (fingers/hands): Continuous Firm grasping (fingers/hands): Continuous Fine manipulation (fingers/hands): Continuous Reaching overhead: Frequent Reaching in all directions: Continuous Repetitive motion (hands/wrists/elbows/shoulders): Continuous Full use of both legs: Continuous Balance & coordination (lower extremities): Frequent Lifting & Force Requirements Lift/carry 50 lbs. unassisted: Infrequent Lift/lower 50 lbs. from floor to 36": Infrequent Lift up to 25 lbs. overhead: Infrequent Exert up to 50 lbs. of force: Frequent Examples: Transfer 100 lb. non-ambulatory patient = 50 lbs. force Push 400 lb. patient in wheelchair on carpet = 20 lbs. force Push patient stretcher one-handed = 25 lbs. force Vision & Sensory Maintain corrected vision 20/40 (one or both eyes): Continuous Recognize objects (near/far): Continuous Color discrimination: Continuous Depth perception: Continuous Peripheral vision: Continuous Hearing acuity (with correction): Continuous Tactile sensory function: Continuous Gross motor with fine motor coordination: Continuous Selected Positions: Olfactory (smell) function: Continuous Respirator use qualification: Continuous Work Environment & Conditions Effective stress management: Continuous Rotating shifts: Frequent Overtime as required: Frequent Latex-safe environment: Continuous If you like working with energetic enthusiastic individuals, you will enjoy your career with us! The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:

Job DescriptionJob Description The ServiceNow Integration Engineer focused on Healthcare Systems/CDW will be responsible for designing and implementing integration solutions that connect ServiceNow with various healthcare systems and applications. This remote position requires a solid understanding of both ServiceNow and the healthcare domain. • Develop, implement, and maintain integrations between ServiceNow and other healthcare systems, ensuring smooth data flow. • Analyze business requirements and translate them into technical integration specifications. • Utilize REST and SOAP APIs for integration purposes and ensure compliance with healthcare regulations. • Collaborate with cross-functional teams, including IT and healthcare professionals, to gather requirements and ensure alignment. • Troubleshoot integration issues, providing timely resolutions to maintain system performance. • Create and maintain integration documentation, including design specifications and user guides. • Stay informed about industry trends and advancements in healthcare technology to enhance integration strategies. Requirements • Candidates must be U.S. citizens or hold a Green Card. • 5+ years of experience with ServiceNow integrations and data interfaces Strong experience with SQL, ETL processes, data mapping, and data validation Experience integrating ServiceNow with external enterprise systems Experience supporting healthcare or hospital data environments Experience troubleshooting interface and data flow issues Experience working in Agile/Scrum environments Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Other benefits, terms apply Disclaimer: Greenberg & Larraby, Inc. will never send offer letters of employment unless a thorough interview process has taken place and all other internal processing has taken place. If you receive one from an outside party and is not from the URL of our firm please do not respond. If you have further questions, please reach out to your administrator. When you apply to our positions, upon our interest, a recruiter will call you directly and will pre-screen prior to an interview. Offers of employment are contingent upon a thorough interview process, background check, and security clearance adjudication processing as applicable. Thank you. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Other benefits, terms apply Disclaimer: Greenberg & Larraby, Inc. will never send offer letters of employment unless a thorough interview process has taken place and all other internal processing has taken place. If you receive one from an outside party and is not from the URL of our firm please do not respond. If you have further questions, please reach out to your administrator. When you apply to our positions, upon our interest, a recruiter will call you directly and will pre-screen prior to an interview. Offers of employment are contingent upon a thorough interview process, background check, and security clearance adjudication processing as applicable. Thank you.

Job DescriptionJob Description The ServiceNow Integration Engineer focused on Healthcare Systems/CDW will be responsible for designing and implementing integration solutions that connect ServiceNow with various healthcare systems and applications. This remote position requires a solid understanding of both ServiceNow and the healthcare domain. • Develop, implement, and maintain integrations between ServiceNow and other healthcare systems, ensuring smooth data flow. • Analyze business requirements and translate them into technical integration specifications. • Utilize REST and SOAP APIs for integration purposes and ensure compliance with healthcare regulations. • Collaborate with cross-functional teams, including IT and healthcare professionals, to gather requirements and ensure alignment. • Troubleshoot integration issues, providing timely resolutions to maintain system performance. • Create and maintain integration documentation, including design specifications and user guides. • Stay informed about industry trends and advancements in healthcare technology to enhance integration strategies. Requirements • Candidates must be U.S. citizens or hold a Green Card. • 5+ years of experience with ServiceNow integrations and data interfaces Strong experience with SQL, ETL processes, data mapping, and data validation Experience integrating ServiceNow with external enterprise systems Experience supporting healthcare or hospital data environments Experience troubleshooting interface and data flow issues Experience working in Agile/Scrum environments Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Other benefits, terms apply Disclaimer: Greenberg & Larraby, Inc. will never send offer letters of employment unless a thorough interview process has taken place and all other internal processing has taken place. If you receive one from an outside party and is not from the URL of our firm please do not respond. If you have further questions, please reach out to your administrator. When you apply to our positions, upon our interest, a recruiter will call you directly and will pre-screen prior to an interview. Offers of employment are contingent upon a thorough interview process, background check, and security clearance adjudication processing as applicable. Thank you. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Other benefits, terms apply Disclaimer: Greenberg & Larraby, Inc. will never send offer letters of employment unless a thorough interview process has taken place and all other internal processing has taken place. If you receive one from an outside party and is not from the URL of our firm please do not respond. If you have further questions, please reach out to your administrator. When you apply to our positions, upon our interest, a recruiter will call you directly and will pre-screen prior to an interview. Offers of employment are contingent upon a thorough interview process, background check, and security clearance adjudication processing as applicable. Thank you.

Job DescriptionJob Description About OnPay OnPay is a fast-growing software company headquartered in Atlanta, offering a modern cloud-based payroll, HR, and benefits solution for small to midsize businesses. We're currently seeking talented and curious individuals to join our team. We want to hear from you if you are interested in joining an exciting and fast-growing company! Learn more at If you're someone who thrives in a fast-moving environment and loves helping businesses succeed, this is the perfect time to join a high-growth SaaS company that's redefining what payroll software should be. The Role We're looking for a GTM Systems Engineer to build and optimize the systems, automation, data flows, and technical workflows that power our go-to-market organization. As a part of the Revenue Operations team reporting to the Director of Revenue Operations & Systems, this role works across Sales, Marketing, Operations, Engineering, and Technology to create efficiencies across the revenue funnel. You'll connect systems and workflows, automate manual processes, improve speed-to-lead, strengthen handoffs and onboarding, and apply AI to make our teams and processes more scalable, intelligent, and effective. This is a hands-on role for someone who combines technical problem solving with a strong understanding of how modern GTM teams operate. What You'll Do Design and build scalable GTM systems, workflows, automations, and integrations across the customer lifecycle. Build and optimize inbound lead workflows across enrichment, qualification, scoring, prioritization, routing, engagement, follow-up, and speed-to-lead. Partner closely with Marketing and Sales to connect campaigns, website and product engagement, lead data, and downstream sales workflows, while supporting outbound efforts through scalable prospecting infrastructure and enrichment processes. Serve as the hands-on technical lead for the Hubspot ecosystem, with significant hands-on responsibility for advanced workflows, custom objects, data models, APIs, integrations, and automation. Connect CRM, marketing, sales, and customer success platforms using APIs, webhooks, middleware, and data pipelines, ensuring reliable data flow and scalable processes across systems. Partner with Revenue and pre-sales Operations teams to identify manual processes, friction points, and bottlenecks and build automation that improves efficiency, accuracy, speed, and scalability. Identify and implement opportunities to use AI and agentic workflows across lead qualification, enrichment, routing, research, outreach, rep workflows, onboarding, and operational processes. Build custom applications, scripts, services, and internal tools where native platform capabilities are insufficient, while maintaining strong standards for testing, documentation, monitoring, and governance. Implement and maintain scalable GTM data architecture, including objects, properties, associations, lifecycle stages, in line with and system-of-record and governance standards set by RevOps leadership, while troubleshooting complex system, automation, integration, and data issues. What You Bring Experience in GTM Engineering, Revenue Operations Engineering, Business Systems Engineering, or a similar technical role. Strong experience with HubSpot or another enterprise CRM, including automation, data modeling, APIs, integrations, and complex workflow design. Experience building and optimizing PLG and SLG workflows, including qualification, enrichment, routing, lifecycle management, speed-to-lead, and outbound support. Proficiency with JavaScript, Python, plus SQL, with experience working across APIs, webhooks, JSON, authentication, and relational data models. Experience with automation, integration, enrichment, or data platforms such as Zapier, Workato, Make, Hightouch, Clay, or similar tools. Strong understanding of how Sales, Marketing, Customer Success, and Operations work together across the customer lifecycle. Ability to translate ambiguous business problems into scalable technical solutions and troubleshoot complex issues across interconnected systems. Ability to move quickly while maintaining strong standards for scalability, maintainability, governance, and data integrity. Why OnPay? Momentum that matters: We're backed by over $100MM in new funding and scaling rapidly. Market-leading product: OnPay consistently ranks among the highest-rated payroll solutions, earning top marks for usability, customer satisfaction, and support. Remote flexibility: Work from anywhere in the U.S., or join our collaborative HQ team in Atlanta's Ponce City Market if you reside in the Atlanta metro area. Competitive compensation: Base salary + bonus + stock options = real upside for high performers. Comprehensive benefits: 4 weeks PTO + paid holidays, Medical/Dental/Vision, Short- & Long-Term Disability, Life Insurance, Fertility Benefits, Parental Leave, and a 401(k) with company match. Growth culture: Join a team with deep employee benefits experience, payroll expertise, market momentum, and a genuine commitment to helping employees grow their careers. Client-first ethos: OnPay is built on a culture of transparency and service - from our transparent pricing to our commitment to making small business simpler. Location & Compensation Remote (U.S.) Atlanta HQ Optional Compensation includes a base salary of ($130,000-150,000). Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. Recruiting Fraud Alert: To all candidates: your personal information and online safety are top of mind for us. At OnPay, recruiters only direct candidates to apply through our official career page at Recruiters will never request payments or ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from OnPay, please email OnPay is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. We want candidates from multiple backgrounds and lifestyles to create a broader set of perspectives. We make all employment decisions without regard to gender, sexual orientation, gender identity, race, color, religion, age, pregnancy, national origin, veteran status, disability, or any other classification protected by applicable laws.

Job DescriptionJob Description About OnPay OnPay is a fast-growing software company headquartered in Atlanta, offering a modern cloud-based payroll, HR, and benefits solution for small to midsize businesses. We're currently seeking talented and curious individuals to join our team. We want to hear from you if you are interested in joining an exciting and fast-growing company! Learn more at If you're someone who thrives in a fast-moving environment and loves helping businesses succeed, this is the perfect time to join a high-growth SaaS company that's redefining what payroll software should be. The Role We're looking for a GTM Systems Engineer to build and optimize the systems, automation, data flows, and technical workflows that power our go-to-market organization. As a part of the Revenue Operations team reporting to the Director of Revenue Operations & Systems, this role works across Sales, Marketing, Operations, Engineering, and Technology to create efficiencies across the revenue funnel. You'll connect systems and workflows, automate manual processes, improve speed-to-lead, strengthen handoffs and onboarding, and apply AI to make our teams and processes more scalable, intelligent, and effective. This is a hands-on role for someone who combines technical problem solving with a strong understanding of how modern GTM teams operate. What You'll Do Design and build scalable GTM systems, workflows, automations, and integrations across the customer lifecycle. Build and optimize inbound lead workflows across enrichment, qualification, scoring, prioritization, routing, engagement, follow-up, and speed-to-lead. Partner closely with Marketing and Sales to connect campaigns, website and product engagement, lead data, and downstream sales workflows, while supporting outbound efforts through scalable prospecting infrastructure and enrichment processes. Serve as the hands-on technical lead for the Hubspot ecosystem, with significant hands-on responsibility for advanced workflows, custom objects, data models, APIs, integrations, and automation. Connect CRM, marketing, sales, and customer success platforms using APIs, webhooks, middleware, and data pipelines, ensuring reliable data flow and scalable processes across systems. Partner with Revenue and pre-sales Operations teams to identify manual processes, friction points, and bottlenecks and build automation that improves efficiency, accuracy, speed, and scalability. Identify and implement opportunities to use AI and agentic workflows across lead qualification, enrichment, routing, research, outreach, rep workflows, onboarding, and operational processes. Build custom applications, scripts, services, and internal tools where native platform capabilities are insufficient, while maintaining strong standards for testing, documentation, monitoring, and governance. Implement and maintain scalable GTM data architecture, including objects, properties, associations, lifecycle stages, in line with and system-of-record and governance standards set by RevOps leadership, while troubleshooting complex system, automation, integration, and data issues. What You Bring Experience in GTM Engineering, Revenue Operations Engineering, Business Systems Engineering, or a similar technical role. Strong experience with HubSpot or another enterprise CRM, including automation, data modeling, APIs, integrations, and complex workflow design. Experience building and optimizing PLG and SLG workflows, including qualification, enrichment, routing, lifecycle management, speed-to-lead, and outbound support. Proficiency with JavaScript, Python, plus SQL, with experience working across APIs, webhooks, JSON, authentication, and relational data models. Experience with automation, integration, enrichment, or data platforms such as Zapier, Workato, Make, Hightouch, Clay, or similar tools. Strong understanding of how Sales, Marketing, Customer Success, and Operations work together across the customer lifecycle. Ability to translate ambiguous business problems into scalable technical solutions and troubleshoot complex issues across interconnected systems. Ability to move quickly while maintaining strong standards for scalability, maintainability, governance, and data integrity. Why OnPay? Momentum that matters: We're backed by over $100MM in new funding and scaling rapidly. Market-leading product: OnPay consistently ranks among the highest-rated payroll solutions, earning top marks for usability, customer satisfaction, and support. Remote flexibility: Work from anywhere in the U.S., or join our collaborative HQ team in Atlanta's Ponce City Market if you reside in the Atlanta metro area. Competitive compensation: Base salary + bonus + stock options = real upside for high performers. Comprehensive benefits: 4 weeks PTO + paid holidays, Medical/Dental/Vision, Short- & Long-Term Disability, Life Insurance, Fertility Benefits, Parental Leave, and a 401(k) with company match. Growth culture: Join a team with deep employee benefits experience, payroll expertise, market momentum, and a genuine commitment to helping employees grow their careers. Client-first ethos: OnPay is built on a culture of transparency and service - from our transparent pricing to our commitment to making small business simpler. Location & Compensation Remote (U.S.) Atlanta HQ Optional Compensation includes a base salary of ($130,000-150,000). Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. Recruiting Fraud Alert: To all candidates: your personal information and online safety are top of mind for us. At OnPay, recruiters only direct candidates to apply through our official career page at Recruiters will never request payments or ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from OnPay, please email OnPay is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. We want candidates from multiple backgrounds and lifestyles to create a broader set of perspectives. We make all employment decisions without regard to gender, sexual orientation, gender identity, race, color, religion, age, pregnancy, national origin, veteran status, disability, or any other classification protected by applicable laws.

Job DescriptionJob Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling) Type: Contract Compensation: $90-$120/hour Location: Remote Commitment: 40 hours/week Role Responsibilities Design challenging tasks across GPU kernels, performance profiling, debugging, and inference serving. Write accurate, well-structured solutions. Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems and training infrastructure. Evaluate MLOps and ML systems tasks. Provide clear, written technical feedback that stands up to reviewer scrutiny. Develop guidelines and detailed rubrics covering kernel-level optimization, profiler output interpretation, and serving throughput and latency trade-offs. Collaborate with other subject matter experts to ensure training data consistency and accuracy. Qualifications Must-Have 2+ years of hands-on professional experience in ML systems, ML infrastructure, or GPU performance engineering. Practical experience in GPU kernels (e.g., CUDA, Triton) or performance profiling (e.g., Kineto, torch.profiler). Working production experience with JAX and/or PyTorch. Familiarity with modern accelerators such as A100, H100, or TPU. Strong written communication skills. Compensation & Legal W-2 employment with Cincinnatus LLC. Equal Employment Opportunity employer. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionJob Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling) Type: Contract Compensation: $90-$120/hour Location: Remote Commitment: 40 hours/week Role Responsibilities Design challenging tasks across GPU kernels, performance profiling, debugging, and inference serving. Write accurate, well-structured solutions. Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems and training infrastructure. Evaluate MLOps and ML systems tasks. Provide clear, written technical feedback that stands up to reviewer scrutiny. Develop guidelines and detailed rubrics covering kernel-level optimization, profiler output interpretation, and serving throughput and latency trade-offs. Collaborate with other subject matter experts to ensure training data consistency and accuracy. Qualifications Must-Have 2+ years of hands-on professional experience in ML systems, ML infrastructure, or GPU performance engineering. Practical experience in GPU kernels (e.g., CUDA, Triton) or performance profiling (e.g., Kineto, torch.profiler). Working production experience with JAX and/or PyTorch. Familiarity with modern accelerators such as A100, H100, or TPU. Strong written communication skills. Compensation & Legal W-2 employment with Cincinnatus LLC. Equal Employment Opportunity employer. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionJob Description Authorized to work in the US required; US Citizenship preferred Remote Position TBD Applicants residing in the DMV area preferred as the client is located in Silver Spring, MD Three references required POSITION DESCRIPTION: The Systems Engineer I will provide advanced engineering and systems engineering support to the NOAA by applying disciplined engineering processes to the planning, design, integration, and life-cycle support of complex marine, aviation, and associated mission systems. This position supports the development and implementation of engineering solutions that ensure NOAA platforms meet operational, safety, regulatory, and performance requirements. The Systems Engineer I will operate as a subject matter expert within one or more engineering disciplines and support systems engineering activities across the full system life cycle. RESPONSIBILITIES: Perform systems engineering activities including requirements analysis, systems design, integration, and test and evaluation. Apply engineering expertise to the design and analysis of civil, mechanical, electrical, marine, or aeronautical systems and equipment. Support concept development, feasibility studies, and technical trade-off analyses. Assist with system integration, verification and validation, and risk mitigation activities. Provide engineering support for acquisition, construction, modification, and life-cycle sustainment efforts. Support technical coordination, documentation, and compliance with applicable safety and regulatory standards. REQUIREMENTS: Bachelor's degree in engineering, engineering management, or a related technical discipline Less than 4 years of experience applying an organization-wide engineering discipline across strategic planning, requirements analysis, systems design, engineering, integration, test and evaluation, construction, and program implementation. Demonstrated experience supporting complex aeronautical, marine, mechanical, electrical, civil, or systems engineering projects. Strong analytical and problem-solving skills. Ability to work independently on complex engineering tasks. Effective communication skills in a multidisciplinary, operational environment. Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan. All benefits are subject to eligibility requirements.

Job DescriptionJob Description Authorized to work in the US required; US Citizenship preferred Remote Position TBD Applicants residing in the DMV area preferred as the client is located in Silver Spring, MD Three references required POSITION DESCRIPTION: The Systems Engineer I will provide advanced engineering and systems engineering support to the NOAA by applying disciplined engineering processes to the planning, design, integration, and life-cycle support of complex marine, aviation, and associated mission systems. This position supports the development and implementation of engineering solutions that ensure NOAA platforms meet operational, safety, regulatory, and performance requirements. The Systems Engineer I will operate as a subject matter expert within one or more engineering disciplines and support systems engineering activities across the full system life cycle. RESPONSIBILITIES: Perform systems engineering activities including requirements analysis, systems design, integration, and test and evaluation. Apply engineering expertise to the design and analysis of civil, mechanical, electrical, marine, or aeronautical systems and equipment. Support concept development, feasibility studies, and technical trade-off analyses. Assist with system integration, verification and validation, and risk mitigation activities. Provide engineering support for acquisition, construction, modification, and life-cycle sustainment efforts. Support technical coordination, documentation, and compliance with applicable safety and regulatory standards. REQUIREMENTS: Bachelor's degree in engineering, engineering management, or a related technical discipline Less than 4 years of experience applying an organization-wide engineering discipline across strategic planning, requirements analysis, systems design, engineering, integration, test and evaluation, construction, and program implementation. Demonstrated experience supporting complex aeronautical, marine, mechanical, electrical, civil, or systems engineering projects. Strong analytical and problem-solving skills. Ability to work independently on complex engineering tasks. Effective communication skills in a multidisciplinary, operational environment. Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan. All benefits are subject to eligibility requirements.

Job DescriptionJob Description Hi, we're Oscar. We're hiring a Senior Software Engineer, Cloud Infrastructure / SRE to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: Our Core Technology teams build and maintain the foundational platform upon which all Oscar engineering is built. We are responsible for architecting a world-class, resilient ecosystem using a modern stack centered on AWS/GCP, Terraform, and Kubernetes with developer focused tooling and CI/CD. Our mission is to provide an automated, self-service infrastructure that empowers our engineering organization to move fast without sacrificing security or stability. You will report into a Staff/Senior Staff Engineer. Work Location: This is a remote position, open to candidates who reside in: Boston, MA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Become the expert on your team's business and technical domains such as DevOps, site reliability, and cloud best practices Lead the planning, execution and release of complex technical projects across multiple teams outside of Core Technology Work with partners, product managers, and designers to solve challenging problems Lead and mentor engineers on the team to improve technology and apply best practices Independently responsible for large or complex technology capabilities (set of components or services) within their team's domain or spanning multiple domains Facilitates, encourages, and enhances cross-team execution and collaboration; knows when cross-team projects are at risk and actively mitigates risk to deliver on time Prolific contributor to the objectives of their functional group, as well as organization-wide projects Drives prioritization of technical roadmap and influences prioritization of product roadmap and process enhancements within their team Actively identifies and reduces failure domains, designs and builds resilient systems, and strives to reduce adverse effects of an outage. Builds software to minimize effort and business impact during maintenance and failures Guides the development of Service-Level Objectives (SLOs) for systems they are responsible for Own medium to large features or infrastructure projects from technical design through completion Compliance with all applicable laws and regulations Other duties as assigned Requirements: 6+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments Experience as a major contributor cross-pod or cross-company deliverables Experience leading technical contributions, improving the quality of what your teams create, and are excited to build fault-tolerant, and scalable software systems. Demonstrates expertise of the practical application of CS concepts within their team. Sets and enforces the standard for writing stable, correct, and maintainable code Experience mentoring and training more junior engineers Bonus points: Cloud Proficiency: Deep expertise in managing production environments within AWS or GCP at scale. Infrastructure as Code: Advanced experience with Terraform or similar IaC tools to manage complex, multi-account structures. Orchestration & Delivery: Proven track record with Kubernetes and workflows using ArgoCD. SRE Discipline: Strong background in Site Reliability Engineering, including Service Level Objectives (SLOs), error budgets, and incident management. CI/CD & Automation: Experience building robust deployment pipelines via GitHub Actions. Observability: Proficiency with monitoring using tools like Prometheus, Grafana, or similar. Security & Networking: Knowledge of cloud-native security (IAM, VPC peering) and service mesh technologies like Istio. Programming: Understanding of at least one coding language that you are able to use to develop scripts and software Education: B.S. in Computer Science, a related technical field, or equivalent high-level industry experience. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionJob Description Hi, we're Oscar. We're hiring a Senior Software Engineer, Cloud Infrastructure / SRE to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: Our Core Technology teams build and maintain the foundational platform upon which all Oscar engineering is built. We are responsible for architecting a world-class, resilient ecosystem using a modern stack centered on AWS/GCP, Terraform, and Kubernetes with developer focused tooling and CI/CD. Our mission is to provide an automated, self-service infrastructure that empowers our engineering organization to move fast without sacrificing security or stability. You will report into a Staff/Senior Staff Engineer. Work Location: This is a remote position, open to candidates who reside in: Boston, MA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Become the expert on your team's business and technical domains such as DevOps, site reliability, and cloud best practices Lead the planning, execution and release of complex technical projects across multiple teams outside of Core Technology Work with partners, product managers, and designers to solve challenging problems Lead and mentor engineers on the team to improve technology and apply best practices Independently responsible for large or complex technology capabilities (set of components or services) within their team's domain or spanning multiple domains Facilitates, encourages, and enhances cross-team execution and collaboration; knows when cross-team projects are at risk and actively mitigates risk to deliver on time Prolific contributor to the objectives of their functional group, as well as organization-wide projects Drives prioritization of technical roadmap and influences prioritization of product roadmap and process enhancements within their team Actively identifies and reduces failure domains, designs and builds resilient systems, and strives to reduce adverse effects of an outage. Builds software to minimize effort and business impact during maintenance and failures Guides the development of Service-Level Objectives (SLOs) for systems they are responsible for Own medium to large features or infrastructure projects from technical design through completion Compliance with all applicable laws and regulations Other duties as assigned Requirements: 6+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments Experience as a major contributor cross-pod or cross-company deliverables Experience leading technical contributions, improving the quality of what your teams create, and are excited to build fault-tolerant, and scalable software systems. Demonstrates expertise of the practical application of CS concepts within their team. Sets and enforces the standard for writing stable, correct, and maintainable code Experience mentoring and training more junior engineers Bonus points: Cloud Proficiency: Deep expertise in managing production environments within AWS or GCP at scale. Infrastructure as Code: Advanced experience with Terraform or similar IaC tools to manage complex, multi-account structures. Orchestration & Delivery: Proven track record with Kubernetes and workflows using ArgoCD. SRE Discipline: Strong background in Site Reliability Engineering, including Service Level Objectives (SLOs), error budgets, and incident management. CI/CD & Automation: Experience building robust deployment pipelines via GitHub Actions. Observability: Proficiency with monitoring using tools like Prometheus, Grafana, or similar. Security & Networking: Knowledge of cloud-native security (IAM, VPC peering) and service mesh technologies like Istio. Programming: Understanding of at least one coding language that you are able to use to develop scripts and software Education: B.S. in Computer Science, a related technical field, or equivalent high-level industry experience. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionJob Description About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies - from emerging startups to large Fortune 50 firms - and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. The Role: We are looking for a Senior Windows Engineer for a project-based assignment to strengthen the stability and resiliency of a business-critical Windows environment across Active Directory, DNS, authentication, automation, observability, security, and disaster recovery. This is a hands-on platform engineering role that combines deep Active Directory and Kerberos expertise with Windows automation, cloud infrastructure, and Infrastructure as Code. You will work across directory services, authentication, golden image and patching pipelines, PowerShell automation, PKI, configuration management, and recovery capabilities while helping improve the reliability and resilience of the overall Windows platform. The ideal candidate is a Windows platform and automation engineer rather than a traditional Windows administrator, with strong cloud fluency and experience managing infrastructure through code and automation. Key Responsibilities: Improve Active Directory and DNS resilience, including replication topology and health, FSMO roles, DFS-R, NTDS, AD-integrated DNS, and domain controllers running as cloud instances. Support the estate's migration from NTLM to Kerberos, ensuring both protocols can operate without an outage during the transition. Work with service principal names and duplicate-SPN failure modes, constrained delegation, AES over RC4 through the supported-encryption-types attribute, managed and group managed service accounts, and reverse DNS. Support identity integration across the estate, including LDAP for non-Windows hosts, desktop single sign-on via Kerberos passthrough with constrained delegation, cloud single sign-on, and brokered application identity. Support and improve the golden image and patch pipeline, including image bake automation, CI-scheduled builds, promotion, deprecation, deregistration, and CVE-driven rebuilds. Improve Windows observability, including infrastructure agents, Windows service and event-channel collection, script-derived metrics, domain controller service health, replication status, and operational log-channel forwarding. Develop and maintain PowerShell automation supporting Windows platform operations and resiliency. Support Infrastructure as Code and configuration management, including Chef, Ansible, Systems Manager, guardrail policies, pipeline pre-deploy validation, and OpenTofu. Support multi-account rebuild, guardrail policies, and module compliance. Strengthen security and data-protection controls, including encryption by default on block storage, key management, web-tier protection, and instance metadata hardening. Improve PKI and certificate services resilience, including certificate authority recovery posture. Support disaster recovery design, cloud platform, and file services, including recovery tiering with defined RTO and RPO, pilot light versus active-passive trade-offs, non-disruptive failover testing, and divisional cloud accounts. Support file-services resilience and legacy distributed file system decommissioning targeting zero RPO and sub-five-minute RTO. Additional Areas of Focus: Active Directory backup and forest recovery: Define, test, and document backup, restore, and forest recovery, including the achievable RTO. NTLM decommission path: Define when NTLM can be retired and how remaining NTLM use will be audited. Certificate authority recovery posture: Define recovery requirements and establish certificate inventory and expiry alerting. Privileged access model for the directory: Address the RBAC transition or document the decision regarding its future state. Directory-specific recovery testing: Exercise domain controller and directory recovery as part of resiliency testing. Windows image catalogue rationalisation: Review the image catalogue and multi-tenant configuration. Group Policy surface: Confirm whether Group Policy is genuinely unused or currently unmanaged. Requirements: Expert-level experience with Active Directory and DNS resilience, including replication topology and health, FSMO roles, DFS-R, NTDS, AD-integrated DNS, and domain controllers. Expert-level knowledge of Kerberos authentication, including SPNs, duplicate-SPN failure modes, constrained delegation, AES/RC4 encryption, managed service accounts, group managed service accounts, and reverse DNS dependencies. Strong experience with identity integration across Windows and non-Windows environments, including LDAP and single sign-on. Expert-level experience with golden image and patch pipelines, including image bake automation, CI-scheduled builds, promotion, deprecation, deregistration, and CVE-driven rebuilds. Strong Windows observability and PowerShell experience. Strong experience with Infrastructure as Code and configuration management, including OpenTofu and tools such as Chef, Ansible, and Systems Manager. Strong understanding of cloud infrastructure, security, data-protection controls, and infrastructure automation. Strong experience with PKI and certificate services. Strong experience with disaster recovery design, including RTO/RPO, recovery strategies, failover testing, and Windows file services. Ability to work as a platform and automation engineer in a code-managed Windows environment rather than relying on traditional Windows administration practices. Ability to work independently across complex, business-critical Windows infrastructure and communicate technical decisions clearly. Location: Remote, USA Must be available to work with the team until at least 3:00 PM Pacific Time. Employment type: Contract Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR

Job DescriptionJob Description About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies - from emerging startups to large Fortune 50 firms - and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. The Role: We are looking for a Senior Windows Engineer for a project-based assignment to strengthen the stability and resiliency of a business-critical Windows environment across Active Directory, DNS, authentication, automation, observability, security, and disaster recovery. This is a hands-on platform engineering role that combines deep Active Directory and Kerberos expertise with Windows automation, cloud infrastructure, and Infrastructure as Code. You will work across directory services, authentication, golden image and patching pipelines, PowerShell automation, PKI, configuration management, and recovery capabilities while helping improve the reliability and resilience of the overall Windows platform. The ideal candidate is a Windows platform and automation engineer rather than a traditional Windows administrator, with strong cloud fluency and experience managing infrastructure through code and automation. Key Responsibilities: Improve Active Directory and DNS resilience, including replication topology and health, FSMO roles, DFS-R, NTDS, AD-integrated DNS, and domain controllers running as cloud instances. Support the estate's migration from NTLM to Kerberos, ensuring both protocols can operate without an outage during the transition. Work with service principal names and duplicate-SPN failure modes, constrained delegation, AES over RC4 through the supported-encryption-types attribute, managed and group managed service accounts, and reverse DNS. Support identity integration across the estate, including LDAP for non-Windows hosts, desktop single sign-on via Kerberos passthrough with constrained delegation, cloud single sign-on, and brokered application identity. Support and improve the golden image and patch pipeline, including image bake automation, CI-scheduled builds, promotion, deprecation, deregistration, and CVE-driven rebuilds. Improve Windows observability, including infrastructure agents, Windows service and event-channel collection, script-derived metrics, domain controller service health, replication status, and operational log-channel forwarding. Develop and maintain PowerShell automation supporting Windows platform operations and resiliency. Support Infrastructure as Code and configuration management, including Chef, Ansible, Systems Manager, guardrail policies, pipeline pre-deploy validation, and OpenTofu. Support multi-account rebuild, guardrail policies, and module compliance. Strengthen security and data-protection controls, including encryption by default on block storage, key management, web-tier protection, and instance metadata hardening. Improve PKI and certificate services resilience, including certificate authority recovery posture. Support disaster recovery design, cloud platform, and file services, including recovery tiering with defined RTO and RPO, pilot light versus active-passive trade-offs, non-disruptive failover testing, and divisional cloud accounts. Support file-services resilience and legacy distributed file system decommissioning targeting zero RPO and sub-five-minute RTO. Additional Areas of Focus: Active Directory backup and forest recovery: Define, test, and document backup, restore, and forest recovery, including the achievable RTO. NTLM decommission path: Define when NTLM can be retired and how remaining NTLM use will be audited. Certificate authority recovery posture: Define recovery requirements and establish certificate inventory and expiry alerting. Privileged access model for the directory: Address the RBAC transition or document the decision regarding its future state. Directory-specific recovery testing: Exercise domain controller and directory recovery as part of resiliency testing. Windows image catalogue rationalisation: Review the image catalogue and multi-tenant configuration. Group Policy surface: Confirm whether Group Policy is genuinely unused or currently unmanaged. Requirements: Expert-level experience with Active Directory and DNS resilience, including replication topology and health, FSMO roles, DFS-R, NTDS, AD-integrated DNS, and domain controllers. Expert-level knowledge of Kerberos authentication, including SPNs, duplicate-SPN failure modes, constrained delegation, AES/RC4 encryption, managed service accounts, group managed service accounts, and reverse DNS dependencies. Strong experience with identity integration across Windows and non-Windows environments, including LDAP and single sign-on. Expert-level experience with golden image and patch pipelines, including image bake automation, CI-scheduled builds, promotion, deprecation, deregistration, and CVE-driven rebuilds. Strong Windows observability and PowerShell experience. Strong experience with Infrastructure as Code and configuration management, including OpenTofu and tools such as Chef, Ansible, and Systems Manager. Strong understanding of cloud infrastructure, security, data-protection controls, and infrastructure automation. Strong experience with PKI and certificate services. Strong experience with disaster recovery design, including RTO/RPO, recovery strategies, failover testing, and Windows file services. Ability to work as a platform and automation engineer in a code-managed Windows environment rather than relying on traditional Windows administration practices. Ability to work independently across complex, business-critical Windows infrastructure and communicate technical decisions clearly. Location: Remote, USA Must be available to work with the team until at least 3:00 PM Pacific Time. Employment type: Contract Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do Design, build, and scale highly available backend services and APIs powering AI infrastructure products. Develop cloud-native systems that support large-scale AI and machine learning workloads. Architect distributed systems with a focus on reliability, security, performance, and scalability. Build and maintain Kubernetes-based infrastructure and services. Collaborate closely with product, infrastructure, and security teams to bring new products to market. Contribute to technical architecture decisions and long-term platform strategy. Mentor engineers and help establish engineering best practices across the organization. Improve observability, automation, deployment workflows, and operational excellence. Required Qualifications Bachelor's degree in Computer Science or a related technical field. 5+ years of professional backend software engineering experience. Strong experience designing and building scalable backend systems in production environments. Deep expertise with Kubernetes and cloud-native technologies. Experience building distributed systems, microservices, and APIs. Experience working in a startup or high-growth technology environment. Strong understanding of software architecture, system design, and engineering best practices. Excellent communication and collaboration skills. Preferred Qualifications Experience building infrastructure, platform, developer tooling, or security products. Experience with AI/ML infrastructure, model deployment platforms, or large-scale data systems. Experience with public cloud platforms such as AWS, GCP, or Azure. Familiarity with containerization technologies. Experience operating in fast-paced environments with a high degree of ownership and autonomy. Why Join? Competitive compensation package, including meaningful equity participation. Clear path to future liquidity as the company continues to scale. Opportunity to build foundational products at the intersection of AI, infrastructure, and security. Significant technical ownership and influence on product direction. Collaborative, high-caliber engineering culture. Chance to work on complex technical challenges shaping the future of AI infrastructure. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do Design, build, and scale highly available backend services and APIs powering AI infrastructure products. Develop cloud-native systems that support large-scale AI and machine learning workloads. Architect distributed systems with a focus on reliability, security, performance, and scalability. Build and maintain Kubernetes-based infrastructure and services. Collaborate closely with product, infrastructure, and security teams to bring new products to market. Contribute to technical architecture decisions and long-term platform strategy. Mentor engineers and help establish engineering best practices across the organization. Improve observability, automation, deployment workflows, and operational excellence. Required Qualifications Bachelor's degree in Computer Science or a related technical field. 5+ years of professional backend software engineering experience. Strong experience designing and building scalable backend systems in production environments. Deep expertise with Kubernetes and cloud-native technologies. Experience building distributed systems, microservices, and APIs. Experience working in a startup or high-growth technology environment. Strong understanding of software architecture, system design, and engineering best practices. Excellent communication and collaboration skills. Preferred Qualifications Experience building infrastructure, platform, developer tooling, or security products. Experience with AI/ML infrastructure, model deployment platforms, or large-scale data systems. Experience with public cloud platforms such as AWS, GCP, or Azure. Familiarity with containerization technologies. Experience operating in fast-paced environments with a high degree of ownership and autonomy. Why Join? Competitive compensation package, including meaningful equity participation. Clear path to future liquidity as the company continues to scale. Opportunity to build foundational products at the intersection of AI, infrastructure, and security. Significant technical ownership and influence on product direction. Collaborative, high-caliber engineering culture. Chance to work on complex technical challenges shaping the future of AI infrastructure. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We are seeking a GCS / Communications Systems Engineer to lead the development, integration, and validation of ground control station and communication architectures supporting advanced military aircraft and autonomous systems. This role directly impacts mission effectiveness, command and control reliability, platform connectivity, and operational resiliency by ensuring robust communication between air, ground, and distributed mission systems. The engineer will define system behaviors, operational workflows, and communication architectures across the full lifecycle, from concept development through flight and operational test. This role plays a critical part in reducing integration risk, improving network resiliency, and accelerating deployment of mission-critical communication capabilities. What you'll do: Define GCS and communication system behaviors, operational workflows, and activity diagrams to ensure reliable command, control, telemetry, payload, and mission data exchange Develop and integrate communication architectures including RF links, SATCOM, LOS/BLOS datalinks, networking infrastructure, antennas, encryption devices, and mission control interfaces Lead cross-functional integration between avionics, mission systems, networking, cybersecurity, software, and test teams to improve system interoperability and reduce integration risk Develop and validate interface definitions, network architectures, link budgets, and communication performance requirements for airborne and ground-based systems Support lab, field, and flight test activities to troubleshoot communication issues, validate network performance, and improve operational resiliency and mission readiness Required qualifications: Bachelor's degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, Computer Engineering, or related technical field Typically requires a minimum of 10 years of related experience in communications systems, networking, mission systems, or military aerospace integration Experience with GCS architectures, datalinks, RF systems, networking, or airborne communication systems Familiarity with LOS/BLOS communications, SATCOM, IP networking, encryption technologies, and hardware/software integration environments Strong systems engineering, troubleshooting, and cross-functional communication skills Ability to obtain a S SAR level security clearance desired. Preferred qualifications: Experience supporting UAV, fighter aircraft, autonomous systems, or military communication networks Experience defining operational behaviors, activity diagrams, CONOPS, or system architectures using MBSE tools such as Cameo Systems Modeler Background in integration labs, flight test, network resiliency, or tactical communication systems Familiarity with cybersecurity, RMF, resilient communications, and contested environment operations Active Secret or Top Secret clearance preferred Compensation for this role is based on the position's work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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 DescriptionJob Description Authorized to work in the US required; US Citizenship preferred Remote Position TBD Applicants residing in the DMV area preferred as the client is located in Silver Spring, MD Three references required POSITION DESCRIPTION: The Senior Systems Engineer serves as the senior technical authority for engineering and systems activities in support of the NOAA. This position provides organization-wide engineering leadership and ensures the technical integrity, integration, and performance of complex marine, aviation, and associated mission platforms throughout their life cycles. The Senior Systems Engineer leads and oversees multidisciplinary engineering efforts supporting the planning, design, development, acquisition, construction, operation, maintenance, and modernization of NOAA ships, aircraft (manned and unmanned), and supporting systems in accordance with mission requirements and regulatory standards. RESPONSIBILITIES: Serve as the senior technical authority and subject matter expert for complex, mission-critical marine, aviation, and supporting systems. Provide organization-wide engineering leadership across multidisciplinary engineering domains, ensuring technical integrity and integration. Direct engineering strategic planning, requirements analysis, concept development, and feasibility assessments. Oversee systems design, integration, test and evaluation, and risk mitigation for new and existing platforms. Provide technical oversight for system construction, modification, modernization, and life-cycle sustainment activities. Advise senior leadership on technical risks, trade-offs, and engineering solutions while ensuring regulatory and safety compliance. REQUIREMENTS: Bachelor's degree in engineering, engineering management, or a related technical discipline 8+ years of experience applying an organization-wide engineering discipline across strategic planning, requirements analysis, systems design, engineering, integration, test and evaluation, construction, and program implementation. Demonstrated experience supporting complex aeronautical, marine, mechanical, electrical, civil, or systems engineering projects. Proven ability to act as a senior technical authority on complex or high-risk engineering systems. Executive-level leadership presence with the ability to manage complex, mission-critical programs. Strong understanding of federal contracting environments and compliance requirements. Excellent communication, negotiation, and stakeholder engagement skills. Ability to adapt program strategies in response to evolving organizational goals, regulations, and mission needs. Experience working with NOAA preferred Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan. All benefits are subject to eligibility requirements.

Job DescriptionJob Description Authorized to work in the US required; US Citizenship preferred Remote Position TBD Applicants residing in the DMV area preferred as the client is located in Silver Spring, MD Three references required POSITION DESCRIPTION: The Senior Systems Engineer serves as the senior technical authority for engineering and systems activities in support of the NOAA. This position provides organization-wide engineering leadership and ensures the technical integrity, integration, and performance of complex marine, aviation, and associated mission platforms throughout their life cycles. The Senior Systems Engineer leads and oversees multidisciplinary engineering efforts supporting the planning, design, development, acquisition, construction, operation, maintenance, and modernization of NOAA ships, aircraft (manned and unmanned), and supporting systems in accordance with mission requirements and regulatory standards. RESPONSIBILITIES: Serve as the senior technical authority and subject matter expert for complex, mission-critical marine, aviation, and supporting systems. Provide organization-wide engineering leadership across multidisciplinary engineering domains, ensuring technical integrity and integration. Direct engineering strategic planning, requirements analysis, concept development, and feasibility assessments. Oversee systems design, integration, test and evaluation, and risk mitigation for new and existing platforms. Provide technical oversight for system construction, modification, modernization, and life-cycle sustainment activities. Advise senior leadership on technical risks, trade-offs, and engineering solutions while ensuring regulatory and safety compliance. REQUIREMENTS: Bachelor's degree in engineering, engineering management, or a related technical discipline 8+ years of experience applying an organization-wide engineering discipline across strategic planning, requirements analysis, systems design, engineering, integration, test and evaluation, construction, and program implementation. Demonstrated experience supporting complex aeronautical, marine, mechanical, electrical, civil, or systems engineering projects. Proven ability to act as a senior technical authority on complex or high-risk engineering systems. Executive-level leadership presence with the ability to manage complex, mission-critical programs. Strong understanding of federal contracting environments and compliance requirements. Excellent communication, negotiation, and stakeholder engagement skills. Ability to adapt program strategies in response to evolving organizational goals, regulations, and mission needs. Experience working with NOAA preferred Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan. All benefits are subject to eligibility requirements.

Job DescriptionJob Description Authorized to work in the US required; US Citizenship preferred Remote Position TBD Applicants residing in the DMV area preferred as the client is located in Silver Spring, MD Three references required POSITION DESCRIPTION: The Systems Engineer III will provide advanced engineering and systems engineering support to the NOAA by applying disciplined engineering processes to the planning, design, integration, and life-cycle support of complex marine, aviation, and associated mission systems. This position supports the development and implementation of engineering solutions that ensure NOAA platforms meet operational, safety, regulatory, and performance requirements. The Systems Engineer III will operate as a subject matter expert within one or more engineering disciplines and support systems engineering activities across the full system life cycle. RESPONSIBILITIES: Perform systems engineering activities including requirements analysis, systems design, integration, and test and evaluation. Apply engineering expertise to the design and analysis of civil, mechanical, electrical, marine, or aeronautical systems and equipment. Support concept development, feasibility studies, and technical trade-off analyses. Assist with system integration, verification and validation, and risk mitigation activities. Provide engineering support for acquisition, construction, modification, and life-cycle sustainment efforts. Support technical coordination, documentation, and compliance with applicable safety and regulatory standards. REQUIREMENTS: Bachelor's degree in engineering, engineering management, or a related technical discipline 6+ years of experience applying an organization-wide engineering discipline across strategic planning, requirements analysis, systems design, engineering, integration, test and evaluation, construction, and program implementation. Demonstrated experience supporting complex aeronautical, marine, mechanical, electrical, civil, or systems engineering projects. Strong analytical and problem-solving skills. Ability to work independently on complex engineering tasks. Effective communication skills in a multidisciplinary, operational environment. Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan. All benefits are subject to eligibility requirements.

Job DescriptionJob Description Authorized to work in the US required; US Citizenship preferred Remote Position TBD Applicants residing in the DMV area preferred as the client is located in Silver Spring, MD Three references required POSITION DESCRIPTION: The Systems Engineer III will provide advanced engineering and systems engineering support to the NOAA by applying disciplined engineering processes to the planning, design, integration, and life-cycle support of complex marine, aviation, and associated mission systems. This position supports the development and implementation of engineering solutions that ensure NOAA platforms meet operational, safety, regulatory, and performance requirements. The Systems Engineer III will operate as a subject matter expert within one or more engineering disciplines and support systems engineering activities across the full system life cycle. RESPONSIBILITIES: Perform systems engineering activities including requirements analysis, systems design, integration, and test and evaluation. Apply engineering expertise to the design and analysis of civil, mechanical, electrical, marine, or aeronautical systems and equipment. Support concept development, feasibility studies, and technical trade-off analyses. Assist with system integration, verification and validation, and risk mitigation activities. Provide engineering support for acquisition, construction, modification, and life-cycle sustainment efforts. Support technical coordination, documentation, and compliance with applicable safety and regulatory standards. REQUIREMENTS: Bachelor's degree in engineering, engineering management, or a related technical discipline 6+ years of experience applying an organization-wide engineering discipline across strategic planning, requirements analysis, systems design, engineering, integration, test and evaluation, construction, and program implementation. Demonstrated experience supporting complex aeronautical, marine, mechanical, electrical, civil, or systems engineering projects. Strong analytical and problem-solving skills. Ability to work independently on complex engineering tasks. Effective communication skills in a multidisciplinary, operational environment. Think Tank is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. Compensation for the successful candidate will be determined based on a variety of factors, including education, relevant work experience, work location, specific job responsibilities, professional certifications, and other job-related criteria. Think Tank also offers a comprehensive benefits package that includes medical, dental, and vision coverage; long-term and short-term disability; and a 401(k) plan. All benefits are subject to eligibility requirements.

Job DescriptionJob Description Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance. Your Role: You will be foundational to building the comprehensive infrastructure platform that bridges our physical infrastructure - bare-metal servers, GPU clusters, high-performance storage, and networking fabric - with the systems our customers depend on for large-scale computation, inference, simulations, and training. Working closely with product, your platform team members, and infrastructure specialists, you'll design and implement the orchestration layer, APIs, and automation framework that make thousands of servers, petabytes of storage, and high-speed networks feel like a unified, programmable platform. Job Responsibilities Infrastructure Abstraction Layer: Design and build systems that bridge physical infrastructure (bare-metal servers, storage clusters, network fabric) with customer-facing services, enabling programmatic management of compute, networking, and storage at scale. Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads. Platform Orchestration: Implement comprehensive orchestration systems that coordinate across compute, storage and networking to deliver unified experience for complex research workloads. Network Automation & Placement: Design and build network provisioning automation including intelligent VM placement decisions for optimal network topology, automated VLAN and subnet configuration, and software-designed networking orchestration for high-performance interconnects. Enterprise APIs & SDKs: Develop robust APIs and SDKs that enable researchers and engineering teams to programmatically provision and manage infrastructure resources across all platform domains. Observability & Telemetry: Implement comprehensive observability, telemetry, and logging systems that provide visibility into infrastructure health, performance, and utilization across the infrastructure footprint. Performance Engineering: Build and optimize platform services that deliver consistent high-throughput low-latency networking for demand research applications and data-intensive workloads. Cross-Team Collaboration: Work closely with engineering, infrastructure, and product to define requirements, drive infrastructure-product-rollouts, and improve resource lifecycle management. Compliance & Security: Implement platform-wide compliance and security features supporting SOC 2, ISO 27001, and enterprise regulatory requirements including comprehensive audit logging, access controls, and data residency management. Requirements Experience: 5+ years in software engineering with a proven track record of infrastructure platforms, distributed systems, or cloud platforms for production environments. Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations. Infrastructure Systems: Strong understanding of infrastructure fundamentals including compute orchestration, storage systems, networking technologies, and how they integrate together to deliver complete platform experiences. Programming Skills: Experience with systems programming languages (Go, C/C++, Rust, Python) for performance-critical components is a strong plus. Linux Production Experience: Strong experience with linux in production environments, including systems administration, performance tuning, and troubleshooting. Bare-Metal & Virtualization: Deep knowledge of bare-metal infrastructure, provisioning systems, out-of-band management, and virtualization technologies (KVM, Kubernetes, etc). API & Platform Design: Proven experience designing and building APIs, SDKs, and automation frameworks that enable programmatic infrastructure management. Cloud Platform Knowledge: Strong familiarity with cloud environments (AWS, GCP, Azure) and understanding of how to translate cloud-native patterns to bare-metal infrastructure. Infrastructure Automation: Experience with Infrastructure-as-code tools (Terraform, Ansible) and building automated deployment pipelines. Problem Solving & Autonomy: Self-starter who can navigate ambiguity, balance pragmatic shipping with good long-term architecture, and independently drive complex technical initiatives. Communication Skills: Strong written and verbal communication skills, including ability to write clear technical communication and collaborate across teams. Commitment to Growth: Growth mindset with continuous focus on learning and professional development. Preferred Qualifications Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters) Experience building internal platforms, infrastructure-as-a-service, or developer tooling Background with GPU computing platforms and AI/ML infrastructure requirements Knowledge of high-performance networking technologies (InfiniBand, RDMA, SR-IOV) Experience with observability and monitoring platforms (Prometheus, Grafana, ELK stack) Familiarity with both cloud-native and bare-metal infrastructure deployment models Understanding of enterprise compliance requirements and security best practices Extra points for experience with financial services technology infrastructure and understanding of trading system requirements Key Technologies Go, Python, Kubernetes, Docker, Terraform, Ansible, Linux, Networking (BGP, VXLAN), Storage Systems, FastAPI, PostgreSQL, Redis, NVIDIA GPU Technologies, InfiniBand Why Moonlite Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure. Hands-On Ownership: As an early engineer, you'll have end-to-end ownership of projects and the autonomy to influence our product and technology direction. Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments. Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving. Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space. We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 - $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

Job DescriptionJob Description Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance. Your Role: You will be foundational to building the comprehensive infrastructure platform that bridges our physical infrastructure - bare-metal servers, GPU clusters, high-performance storage, and networking fabric - with the systems our customers depend on for large-scale computation, inference, simulations, and training. Working closely with product, your platform team members, and infrastructure specialists, you'll design and implement the orchestration layer, APIs, and automation framework that make thousands of servers, petabytes of storage, and high-speed networks feel like a unified, programmable platform. Job Responsibilities Infrastructure Abstraction Layer: Design and build systems that bridge physical infrastructure (bare-metal servers, storage clusters, network fabric) with customer-facing services, enabling programmatic management of compute, networking, and storage at scale. Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads. Platform Orchestration: Implement comprehensive orchestration systems that coordinate across compute, storage and networking to deliver unified experience for complex research workloads. Network Automation & Placement: Design and build network provisioning automation including intelligent VM placement decisions for optimal network topology, automated VLAN and subnet configuration, and software-designed networking orchestration for high-performance interconnects. Enterprise APIs & SDKs: Develop robust APIs and SDKs that enable researchers and engineering teams to programmatically provision and manage infrastructure resources across all platform domains. Observability & Telemetry: Implement comprehensive observability, telemetry, and logging systems that provide visibility into infrastructure health, performance, and utilization across the infrastructure footprint. Performance Engineering: Build and optimize platform services that deliver consistent high-throughput low-latency networking for demand research applications and data-intensive workloads. Cross-Team Collaboration: Work closely with engineering, infrastructure, and product to define requirements, drive infrastructure-product-rollouts, and improve resource lifecycle management. Compliance & Security: Implement platform-wide compliance and security features supporting SOC 2, ISO 27001, and enterprise regulatory requirements including comprehensive audit logging, access controls, and data residency management. Requirements Experience: 5+ years in software engineering with a proven track record of infrastructure platforms, distributed systems, or cloud platforms for production environments. Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations. Infrastructure Systems: Strong understanding of infrastructure fundamentals including compute orchestration, storage systems, networking technologies, and how they integrate together to deliver complete platform experiences. Programming Skills: Experience with systems programming languages (Go, C/C++, Rust, Python) for performance-critical components is a strong plus. Linux Production Experience: Strong experience with linux in production environments, including systems administration, performance tuning, and troubleshooting. Bare-Metal & Virtualization: Deep knowledge of bare-metal infrastructure, provisioning systems, out-of-band management, and virtualization technologies (KVM, Kubernetes, etc). API & Platform Design: Proven experience designing and building APIs, SDKs, and automation frameworks that enable programmatic infrastructure management. Cloud Platform Knowledge: Strong familiarity with cloud environments (AWS, GCP, Azure) and understanding of how to translate cloud-native patterns to bare-metal infrastructure. Infrastructure Automation: Experience with Infrastructure-as-code tools (Terraform, Ansible) and building automated deployment pipelines. Problem Solving & Autonomy: Self-starter who can navigate ambiguity, balance pragmatic shipping with good long-term architecture, and independently drive complex technical initiatives. Communication Skills: Strong written and verbal communication skills, including ability to write clear technical communication and collaborate across teams. Commitment to Growth: Growth mindset with continuous focus on learning and professional development. Preferred Qualifications Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters) Experience building internal platforms, infrastructure-as-a-service, or developer tooling Background with GPU computing platforms and AI/ML infrastructure requirements Knowledge of high-performance networking technologies (InfiniBand, RDMA, SR-IOV) Experience with observability and monitoring platforms (Prometheus, Grafana, ELK stack) Familiarity with both cloud-native and bare-metal infrastructure deployment models Understanding of enterprise compliance requirements and security best practices Extra points for experience with financial services technology infrastructure and understanding of trading system requirements Key Technologies Go, Python, Kubernetes, Docker, Terraform, Ansible, Linux, Networking (BGP, VXLAN), Storage Systems, FastAPI, PostgreSQL, Redis, NVIDIA GPU Technologies, InfiniBand Why Moonlite Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure. Hands-On Ownership: As an early engineer, you'll have end-to-end ownership of projects and the autonomy to influence our product and technology direction. Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments. Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving. Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space. We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 - $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

Job DescriptionJob Description Job Description Summary The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Entity MUSC Community Physicians (MCP) Worker Type Employee Worker Sub-Type Regular Cost Center CC006134 MCP - Information Solutions Pay Rate Type Salary Pay Grade Health-30 Scheduled Weekly Hours 40 Work Shift Job Description The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Additional Job Description Required Education/Skills/Work Experience/Licensure: A bachelor's degree and five years directly related experience; or a high school diploma and nine years directly related experience; or a Masters' degree and 3 years directly related experience required. 7+ years of Network experience is preferred. Must possess strong interpersonal, project management, analytical and communication skills. Experience in implementing, administering, and troubleshooting network security devices, including: firewalls, network access control, and monitoring applications. Knowledge of communication or information systems. Knowledge and technical expertise in networking protocols, security, and wireless communications. If you like working with energetic enthusiastic individuals, you will enjoy your career with us! The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here:

Krita Expert $20 - $70/hour pay Required Skills Krita Illustration About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Krita Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities Develop full-fledged digital illustrations in Krita, from initial sketch to final polish, while adhering to best practices and structured layer management. Perform hour-long, live illustration workflows in a virtual machine, capturing each step of your process for AI training purposes. Demonstrate and articulate your creative decision-making, effectively communicating both written and verbally with the team. Collaborate closely with project coordinators to ensure workflows meet high standards and align with AI research objectives. Utilize advanced Krita features and tools, sharing insight into professional techniques and methodologies. Provide clear documentation and feedback on your workflows to support continuous improvement of AI systems. Uphold a high level of organization, structure, and quality across all artwork produced. Required Skills and Qualifications Demonstrated expertise in Krita with a professional or extensive freelance portfolio showcasing complete illustration projects. Mastery in digital illustration and structured layer-based workflows from rough sketch to refined artwork. Strong written and verbal communication skills, with a focus on articulating creative processes and feedback. Hands-on experience in using Krita's advanced features, brushes, and layer management tools. Ability to consistently work independently within virtual environments and meet project goals. Meticulous attention to detail and a commitment to producing polished, high-quality art assets. Proven ability to document and communicate workflow steps clearly for technical and non-technical audiences. Preferred Qualifications Previous experience training or collaborating with AI or machine learning teams on creative projects. Background in art education or content creation around digital illustration tools. Familiarity with recording and explaining digital illustration workflows for educational or research purposes.

Godot Game Engine expert $50 - $120/hour pay Required Skills Godot Game Development About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Godot Game Engine Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as a Godot Game Engine expert, where you will have the opportunity to work on cutting-edge interactive experiences in a dynamic and collaborative environment. You will leverage your deep knowledge of Godot to drive the technical direction of game projects, ensuring robust architecture and seamless gameplay. This position is ideal for professionals passionate about creating high-quality games and excelling in both communication and technical domains. Key Responsibilities Design, implement, and optimize gameplay systems and features using the Godot Game Engine. Collaborate closely with designers, artists, and other developers to deliver polished and engaging player experiences. Architect and maintain clean, scalable, and well-documented codebases. Troubleshoot and resolve complex technical issues throughout the development lifecycle. Contribute to the evaluation and selection of technical solutions and tools related to the Godot ecosystem. Mentor and support team members in best practices, Godot workflows, and robust coding standards. Participate actively in sprint planning, code reviews, and quality assurance processes. Required Skills and Qualifications Deep expertise with the Godot Game Engine (GDScript, C#, or VisualScript). Proven track record of shipping commercial or high-quality independent titles using Godot. Strong understanding of 2D/3D game development pipelines, asset integration, and performance optimization. Ability to communicate complex technical concepts clearly in both written and verbal form. Experience collaborating in a remote, distributed team environment. Solid problem-solving abilities and passion for learning new technologies. Demonstrated ability to produce clean, maintainable, and efficient code. Preferred Qualifications Experience contributing to open-source Godot projects or plugins. Background in gameplay, UI/UX, or multiplayer networking systems. Exposure to agile development methodologies and tools.

QGIS Expert $40 - $100/hour pay Required Skills QGIS Geography Mapping About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: QGIS Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Lead end-to-end projects in QGIS, from raw spatial data acquisition and cleaning to final map outputs and comprehensive deliverables. Document your workflow and reasoning in real-time as you perform data management, spatial analysis, and map production tasks. Organize, clean, and validate diverse spatial datasets, ensuring high accuracy and consistency throughout the process. Manage projections, coordinate systems, and spatial references to optimize data interoperability and output quality. Style and symbolize map layers for clarity, interpretability, and professional presentation in various contexts. Build advanced layouts and cartographic products, explaining your design decisions along the way. Troubleshoot issues and explain problem-solving strategies as they arise within QGIS workflows. Required Skills and Qualifications: Extensive hands-on experience with QGIS, including managing full GIS projects independently. Proven track record of delivering high-quality spatial analyses, maps, and geospatial outputs using QGIS. In-depth understanding of spatial data formats, coordinate systems, projections, and related GIS principles. Exceptional written and verbal communication skills, with the ability to clearly explain technical decisions and workflow rationale. Strong data organization, cleaning, and transformation skills within QGIS. Experience troubleshooting and resolving complex challenges in GIS workflows. Comfortable working remotely while maintaining consistent project documentation and communication with the broader team. Preferred Qualifications: Experience documenting GIS processes for training, teaching, or AI research purposes. Background in mentoring or collaborating within multi-disciplinary GIS teams. Familiarity with integrating QGIS with other geospatial tools or programming languages.

Physics Expert Required Skills physics research analysis scientific writing critical thinking problem-solving data analysis question and exam creation remote collaboration time management analytical reasoning technical document synthesis ai training content development interdisciplinary teamwork attention to detail independent work digital content creation About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Physics Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Thoroughly analyze, interpret, and summarize complex physics documents and research papers. Create and review high-quality questions and problems related to diverse physics topics for AI model training. Extract key data, perform detailed computations, and validate analytical solutions in various physics domains. Deliver clear, concise written explanations and rationales for technical problems and solutions. Collaborate with a multidisciplinary remote team while maintaining independence in daily work. Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed. Maintain a high standard of quality and consistency while meeting ongoing deadlines. Required Skills and Qualifications: 2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting. Exceptional written and verbal English communication skills, with strong attention to detail. Proven ability to read, analyze, and synthesize technical documents and research literature. Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises. Ability to work independently and proactively with minimal supervision in a remote setting. Excellent critical thinking and analytical skills for data evaluation and problem solving. Strong time management abilities to handle multiple tasks efficiently. Preferred Qualifications: Advanced degree (MSc, PhD) in Physics or a related discipline. Experience interfacing with AI, EdTech, or digital content creation projects. Familiarity with interdisciplinary scientific analysis and collaborative workflows.

Job description: As a High Voltage Test Engineer, you will provide technical leadership for high voltage laboratory testing, oversee electrical cable testing, develop test procedures and reports, and support the reliability, accuracy, and continuous improvement of laboratory testing processes. This is a direct-hire opportunity. Benefits Package 401(k) Life insurance Health insurance Dental insurance Vision insurance Short-term disability Long-term disability Paid vacation Paid holidays Opportunity for advancement Flexible spending account Required Education and Experience Bachelors degree in Electrical Engineering from an accredited university At least 3 years of experience in electrical testing within a manufacturing environment Preferred Education and Experience High voltage systems experience preferred General Requirements Demonstrate a strong understanding and application of relevant standards, including familiarity with standardization organizations and regulatory bodies related to high voltage cables and accessories Maintain a commitment to health, safety, and environmental best practices Be fluent in English with strong written and verbal communication skills Prioritize effectively in a demanding, fast-paced environment Demonstrate teamwork and leadership abilities, with strong persuasion and analytical synthesis skills Demonstrate excellent facilitation and presentation capabilities Be detail-oriented, disciplined, and highly motivated Maintain an organized, structured, and systematic approach to problem solving Work comfortably in multicultural environments while coordinating multiple testing activities with various stakeholders Operate effectively within a matrix organization Maintain a results-driven approach with a strong commitment to continuous improvement Work independently and remain self-motivated in operational tasks Maintain a customer-focused mindset dedicated to delivering high satisfaction Travel globally to customer locations, conferences, and other client facilities as needed Essential Functions delivery to the client handover to the customer development projects or raw material Ensure all cables undergo electrical testing during production and again before Guarantee every cable is electrically tested during manufacturing and prior to Prepare and issue detailed test plans and final test reports for customer orders and Perform electrical cable testing, including impulse testing, HVAC testing, HVDC testing, PD testing, capacitance testing, loss factor testing, and DC jacket testing Perform additional selected mechanical and physical evaluations on cable samples Qualifications: Required Education and Experience Bachelors degree in Electrical Engineering from an accredited university At least 3 years of experience in electrical testing within a manufacturing environment Preferred Education and Experience High voltage systems experience preferred Why is This a Great Opportunity: Great opportunity with growing cable manufacturer

Data-Video Generalist (US-based) $13 - $15/hour pay Required Skills Video Capturing IMU (Inertial Measurement Unit) Attention to Detail About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, and Wyoming. Job Summary Get paid from home in this fully remote opportunity by recording your everyday household chores with your cellphone. Simply film your normal daily activities from a first-person point of view and earn money. Link to video Key Responsibilities: Capture household tasks using your smartphone during specified physical tasks. Record synchronized video footage. Complete a device compatibility check and an AI-enabled interview during onboarding. Required Skills and Qualifications: Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or later. Must be comfortable wearing a phone mount equipment shipped to you. Physical capability to perform repetitive movement tasks safely. Eligibility to work in the U.S. Compensation Structure: You will be paid per hour of recorded video that you submit that is in line with project guidelines. Start Timeline & Availability: Roles are being filled with immediate availability, with your starting time dependent on the shipping time of headstrap equipment to your home. Equipment Requirements: Mobile: You'll need a smartphone to complete this project. You'll use it to record yourself while performing the required tasks. Head Strap / Wearable: You'll also need a head strap to record first-person videos while doing your chores. We will pay you $20 as a signing bonus and reimbursement for your after you complete 20 hours of work with us! headstrap purchase IMPORTANT DISCLAIMER: Candidates who meet the project's location and equipment requirements will be contacted soon to complete an identity verification process. Selected candidates should be able to complete this ID verification within 48 hours of being contacted. Successful verification is required before the contract can be issued for signature.

Libresprite Expert $20 - $70/hour pay Required Skills Libresprite Pixel Art Graphic Design Illustration About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: LibreSprite Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Drive complete pixel art and animation projects from concept through final asset export using LibreSprite. Demonstrate real-time animation previews, refining motion and timing to studio-quality standards. Utilize onion skinning, layers, and complex sprite composition features to create smooth, dynamic animations. Design and develop cohesive asset sets, sprite sheets, character animations, tilesets, UI elements, and retro-style illustrations. Leverage tiled drawing mode, palette customization, and pixel-precise tools for intricate patterns and detail work. Export optimized sprites and animations in required production formats, adhering to technical and artistic specifications. Clearly articulate workflow decisions, creative choices, and technical approaches-both in writing and verbally. Required Skills and Qualifications: Expert-level proficiency with LibreSprite, with a proven track record of production usage. Strong portfolio showcasing professional pixel art, animation, and graphic design. Exceptional written and verbal communication skills, able to explain concepts and workflow logic clearly. Experience independently managing end-to-end projects, from concept through asset delivery. Deep understanding of sprite composition, animation techniques, and stylistic nuances in pixel art. Proficient in customizing color palettes, tile creation, and managing complex layers and animation frames. Ability to work autonomously within a remote, collaborative environment. Preferred Qualifications: Prior experience capturing or teaching creative workflows for training, tutorials, or educational initiatives. Familiarity with retro game art pipelines or production environments. Experience contributing to open-source or collaborative art projects.

QGIS Expert $40 - $100/hour pay Required Skills QGIS Geography Mapping About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: QGIS Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Lead end-to-end projects in QGIS, from raw spatial data acquisition and cleaning to final map outputs and comprehensive deliverables. Document your workflow and reasoning in real-time as you perform data management, spatial analysis, and map production tasks. Organize, clean, and validate diverse spatial datasets, ensuring high accuracy and consistency throughout the process. Manage projections, coordinate systems, and spatial references to optimize data interoperability and output quality. Style and symbolize map layers for clarity, interpretability, and professional presentation in various contexts. Build advanced layouts and cartographic products, explaining your design decisions along the way. Troubleshoot issues and explain problem-solving strategies as they arise within QGIS workflows. Required Skills and Qualifications: Extensive hands-on experience with QGIS, including managing full GIS projects independently. Proven track record of delivering high-quality spatial analyses, maps, and geospatial outputs using QGIS. In-depth understanding of spatial data formats, coordinate systems, projections, and related GIS principles. Exceptional written and verbal communication skills, with the ability to clearly explain technical decisions and workflow rationale. Strong data organization, cleaning, and transformation skills within QGIS. Experience troubleshooting and resolving complex challenges in GIS workflows. Comfortable working remotely while maintaining consistent project documentation and communication with the broader team. Preferred Qualifications: Experience documenting GIS processes for training, teaching, or AI research purposes. Background in mentoring or collaborating within multi-disciplinary GIS teams. Familiarity with integrating QGIS with other geospatial tools or programming languages.

Physics Expert Required Skills physics research analysis scientific writing critical thinking problem-solving data analysis question and exam creation remote collaboration time management analytical reasoning technical document synthesis ai training content development interdisciplinary teamwork attention to detail independent work digital content creation About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Physics Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Thoroughly analyze, interpret, and summarize complex physics documents and research papers. Create and review high-quality questions and problems related to diverse physics topics for AI model training. Extract key data, perform detailed computations, and validate analytical solutions in various physics domains. Deliver clear, concise written explanations and rationales for technical problems and solutions. Collaborate with a multidisciplinary remote team while maintaining independence in daily work. Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed. Maintain a high standard of quality and consistency while meeting ongoing deadlines. Required Skills and Qualifications: 2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting. Exceptional written and verbal English communication skills, with strong attention to detail. Proven ability to read, analyze, and synthesize technical documents and research literature. Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises. Ability to work independently and proactively with minimal supervision in a remote setting. Excellent critical thinking and analytical skills for data evaluation and problem solving. Strong time management abilities to handle multiple tasks efficiently. Preferred Qualifications: Advanced degree (MSc, PhD) in Physics or a related discipline. Experience interfacing with AI, EdTech, or digital content creation projects. Familiarity with interdisciplinary scientific analysis and collaborative workflows.

Software Developer $60 - $120/hour pay Required Skills Python Rust GoLang Full-stack JAVA Node.js Android Development iOS Development About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Software Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js. Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements. Write clean, efficient, and well-documented code, following best software engineering practices. Troubleshoot, debug, and optimize existing codebases to improve performance and reliability. Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement. Contribute to the full software development lifecycle, from concept and design to testing and deployment. Maintain clear, concise, and thoughtful written and verbal communication across distributed teams. Required Skills and Qualifications: 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack). Proficiency in building scalable, reliable, and maintainable software systems. Experience working in remote, collaborative, and agile environments. Expertise in modern development tools, version control systems, and CI/CD pipelines. Strong problem-solving skills with keen attention to detail. Excellent written and verbal communication skills, with a high standard for clarity and professionalism. Self-driven, proactive, and able to work independently in a distributed setting. Preferred Qualifications: Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of DevOps principles and containerization technologies. Background in mentoring or leading small engineering teams.

Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.

Job Description Job Description Telecom Technician, Commercial, Charleston, SC Take-home company truck once you're cleared. We pay for continuing education, including NICET, certifications, and exam fees, plus performance and certification bonuses. Charleston-based, commercial only. NextGen Technologies, Inc. is a fast-growing subcontractor in fire protection and low-voltage systems, proudly serving the Southeast for over 20 years under the same ownership. We work hard, we train harder, and we promote from within. We're hiring an experienced Telecom Technician to join our Charleston crew: structured cabling, telecom, fire alarm, security, CCTV, and nurse call. If you've been pulling and terminating on commercial jobsites, we want to talk. What you'll do Install, program, test, and service telecom, structured cabling, fire alarm, security, CCTV, and nurse call systems Pull, terminate, and test low-voltage cabling (all standard types) Perform inspections and troubleshoot system issues to ensure full code compliance Upgrade system components and perform scheduled maintenance Run service calls and respond to after-hours emergencies Instruct customers on system use and basic maintenance Complete accurate service reports and job documentation Travel to customer sites and stay until the work is complete, including overtime when required What we need 3+ years hands-on commercial low-voltage/telecom experience Working knowledge of fire safety codes and regulations NICET I preferred. Not required. We'll pay for you to get it. Valid SC driver's license and clean MVR Comfortable lifting up to 100 lbs, working above 10 feet, and working in confined areas Able to bend, kneel, squat, stand for long periods, and to lift, crouch, reach, push, and pull. Able to work in extreme heat and cold and around loud noise. What you get Pay based on experience Company vehicle, take-home once cleared to run calls independently Paid continuing education, including NICET, certifications, and exam fees Performance and certification bonuses Medical, dental, vision Company-paid short-term and long-term disability and life insurance 401(k) with company match Paid time off and paid holidays Boot allowance after 1 year Paid training on new platforms Who we are Charleston, SC. Commercial only. Career growth and leadership opportunities, NICET support, small team culture with zero corporate red tape. Steady work, fair pay, no micromanaging. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.