In this role, you will be responsible for supporting enterprise wide automation efforts for internal logistics processes and materials movement within complex manufacturing environments. This will include the R&D and evaluation of different robotics technologies and building standard process for implementation. Owning, maintaining and providing integration of AMR/AGV/VGV products to a 3rd party Fleet Management system and connecting into existing IT infrastructure. Establishing communication between COTS products and internal systems. This role touches on architecture design, providing best practices, and in some instances being able to troubleshoot and diagnose problems with robot deployments both at the networking and infrastructure layers.
11/12/2026
Full time
In this role, you will be responsible for supporting enterprise wide automation efforts for internal logistics processes and materials movement within complex manufacturing environments. This will include the R&D and evaluation of different robotics technologies and building standard process for implementation. Owning, maintaining and providing integration of AMR/AGV/VGV products to a 3rd party Fleet Management system and connecting into existing IT infrastructure. Establishing communication between COTS products and internal systems. This role touches on architecture design, providing best practices, and in some instances being able to troubleshoot and diagnose problems with robot deployments both at the networking and infrastructure layers.
DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialists, Abdul at or Praveen at Title: Senior Data Quality/Governance Analyst (Remote) Duration: 6 Months (with possibility of extension) Location: Remote On-site (Chicago, IL) presence during the first 2 days is required for onboarding purposes - Cost will be reimbursed by DivIHN. Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Position Summary Enterprise Tech Stack Storage and Processing for Governance, Data Management, Orchestration, Business Analytics, and Advanced Analytics to map to our cleint's Strategic Objective by Implementing a statewide data governance framework that encourages data sharing among state agencies while adhering to privacy and security regulations. The contractor will architect and implement the Data Governance and Quality program from requirements through first working implementation, under strategic initiatives to enable a strong cross-agency data culture, unified digital wallet, and a data access request enterprise solution. The role has two parts. Governance and Data Quality analysis: gathering requirements, defining the operating model and writing a procurement-ready SOW. Hands-on implementation: Writing data quality and conformed dimension analysis scripts for those assets. A conformed dimension is a shared reference entity, such as agency, location, person or date, that must mean the same thing in every source. Declarative quality rules in pipelines and anomaly detection Schema evolution handling Quality scorecards and enforcement built into ETL/ELT Publishing the scripts and their results in one version-controlled repository with a user-facing interface. The work gives the client and the agencies a working governance foundation that the data mesh enforces and the data literacy program teaches. Key Responsibilities Data Governance and Data Quality Requirements & SOW Hold discovery sessions with the client, agency, business and data stakeholders to record current data ownership, quality issues and governance gaps. Write business, functional and non-functional requirements for the catalog, glossary, lineage, data quality and stewardship workflows. Draft the Governance SOW: scope, deliverables, acceptance criteria, milestones and assumptions for later implementation phases. Define the operating model, including the roles of data owners and stewards, a RACI and a decision-rights matrix. Build a requirements traceability matrix that links each requirement to strategic objectives and budgeted outcomes. Microsoft Purview Asset Setup Register and scan priority data sources in Purview, including data lakes/lakehouses, transactional systems and other key agency data sources that may include DB2 and Microsoft Access. Set up the Purview collections structure and domains, and assign permissions in line with the operating model. Build and fill in the business glossary using systems that can be leveraged by all agencies. Link glossary terms to technical assets and assign owners and stewards. Configure classifications and sensitivity labels, including the PII classifications needed by the Digital Wallet and ID Gateway. Validate and add to lineage for priority data flows, working with the data mesh build. Set up Purview Data Quality rules and scoring for priority assets where that is available. Data Quality & Conformed Dimension Analysis Identify the conformed dimensions shared across sources and develop scripts for data quality checks. Write reusable SQL and Python/PySpark scripts that: profile assets for completeness, validity, uniqueness, consistency and timeliness check whether conformed dimensions match across sources, covering key matching, value-domain alignment, orphan records and hierarchy consistency Parameterize the scripts so they can be rerun on new assets and new domains without rewriting them. Record the issues found and work with stewards on fixing them and turn the confirmed rules into data contracts. Consolidated Repository & Interface Set up a single version-controlled repository (Azure DevOps or GitHub) for all data quality scripts, conformed dimension definitions, rule metadata and documentation, with naming standards and contribution guidelines. Automate the scripts to run on a schedule through Databricks, Fabric or Azure Data Factory, and store the results in a central data quality results store. Deliver a user-facing interface over the repository and its results: a Power BI data quality dashboard that shows scores, trends and open issues by asset, domain and agency, with links back to the matching Purview assets and glossary terms. Document how stewards and agency teams add new rules and assets. Required Qualifications 5+ years of combined business analysis and hands-on data work on data governance, data quality or enterprise data programs. Microsoft Purview: source registration and scanning, collections, glossary, classifications and lineage. Experience/some exposure would be sufficient. Strong SQL and Python/PySpark skills for data profiling and quality analysis. Experience with dimensional modeling and analyzing conformed dimensions across sources. Experience with ADO or Git-based version control and scheduling scripts in Databricks, Fabric or Data Factory. Experience building dashboards (either Power BI or Tableu). Has written requirements packages and SOWs for technology procurement. Working knowledge of DAMA-DMBOK or a similar framework. About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
11/12/2026
Full time
DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialists, Abdul at or Praveen at Title: Senior Data Quality/Governance Analyst (Remote) Duration: 6 Months (with possibility of extension) Location: Remote On-site (Chicago, IL) presence during the first 2 days is required for onboarding purposes - Cost will be reimbursed by DivIHN. Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Position Summary Enterprise Tech Stack Storage and Processing for Governance, Data Management, Orchestration, Business Analytics, and Advanced Analytics to map to our cleint's Strategic Objective by Implementing a statewide data governance framework that encourages data sharing among state agencies while adhering to privacy and security regulations. The contractor will architect and implement the Data Governance and Quality program from requirements through first working implementation, under strategic initiatives to enable a strong cross-agency data culture, unified digital wallet, and a data access request enterprise solution. The role has two parts. Governance and Data Quality analysis: gathering requirements, defining the operating model and writing a procurement-ready SOW. Hands-on implementation: Writing data quality and conformed dimension analysis scripts for those assets. A conformed dimension is a shared reference entity, such as agency, location, person or date, that must mean the same thing in every source. Declarative quality rules in pipelines and anomaly detection Schema evolution handling Quality scorecards and enforcement built into ETL/ELT Publishing the scripts and their results in one version-controlled repository with a user-facing interface. The work gives the client and the agencies a working governance foundation that the data mesh enforces and the data literacy program teaches. Key Responsibilities Data Governance and Data Quality Requirements & SOW Hold discovery sessions with the client, agency, business and data stakeholders to record current data ownership, quality issues and governance gaps. Write business, functional and non-functional requirements for the catalog, glossary, lineage, data quality and stewardship workflows. Draft the Governance SOW: scope, deliverables, acceptance criteria, milestones and assumptions for later implementation phases. Define the operating model, including the roles of data owners and stewards, a RACI and a decision-rights matrix. Build a requirements traceability matrix that links each requirement to strategic objectives and budgeted outcomes. Microsoft Purview Asset Setup Register and scan priority data sources in Purview, including data lakes/lakehouses, transactional systems and other key agency data sources that may include DB2 and Microsoft Access. Set up the Purview collections structure and domains, and assign permissions in line with the operating model. Build and fill in the business glossary using systems that can be leveraged by all agencies. Link glossary terms to technical assets and assign owners and stewards. Configure classifications and sensitivity labels, including the PII classifications needed by the Digital Wallet and ID Gateway. Validate and add to lineage for priority data flows, working with the data mesh build. Set up Purview Data Quality rules and scoring for priority assets where that is available. Data Quality & Conformed Dimension Analysis Identify the conformed dimensions shared across sources and develop scripts for data quality checks. Write reusable SQL and Python/PySpark scripts that: profile assets for completeness, validity, uniqueness, consistency and timeliness check whether conformed dimensions match across sources, covering key matching, value-domain alignment, orphan records and hierarchy consistency Parameterize the scripts so they can be rerun on new assets and new domains without rewriting them. Record the issues found and work with stewards on fixing them and turn the confirmed rules into data contracts. Consolidated Repository & Interface Set up a single version-controlled repository (Azure DevOps or GitHub) for all data quality scripts, conformed dimension definitions, rule metadata and documentation, with naming standards and contribution guidelines. Automate the scripts to run on a schedule through Databricks, Fabric or Azure Data Factory, and store the results in a central data quality results store. Deliver a user-facing interface over the repository and its results: a Power BI data quality dashboard that shows scores, trends and open issues by asset, domain and agency, with links back to the matching Purview assets and glossary terms. Document how stewards and agency teams add new rules and assets. Required Qualifications 5+ years of combined business analysis and hands-on data work on data governance, data quality or enterprise data programs. Microsoft Purview: source registration and scanning, collections, glossary, classifications and lineage. Experience/some exposure would be sufficient. Strong SQL and Python/PySpark skills for data profiling and quality analysis. Experience with dimensional modeling and analyzing conformed dimensions across sources. Experience with ADO or Git-based version control and scheduling scripts in Databricks, Fabric or Data Factory. Experience building dashboards (either Power BI or Tableu). Has written requirements packages and SOWs for technology procurement. Working knowledge of DAMA-DMBOK or a similar framework. About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Corporate IT Systems Administrator for a full-time position. Position Summary: The Corporate IT Systems Administrator is responsible for the day-to-day administration, support, security, and maintenance of NuAxis Innovations' corporate technology environment. Reporting to the Director, Program Management Office, this position provides hands-on technical support across cloud infrastructure, networks, endpoints, corporate systems, websites, user access, software licensing, and IT assets at the Corporate Headquarters in Vienna, VA. This role serves as a primary internal technical resource for employees and helps ensure the company's technology environment is secure, reliable, properly licensed, documented, and aligned with organizational requirements. The successful candidate will independently resolve routine and moderately complex issues, identify recurring problems and risks, improve processes, and escalate advanced infrastructure or security matters when appropriate. Key Responsibilities Azure & Cloud Administration Support the administration, maintenance, and documentation of the company's Microsoft Azure environment. Monitor Azure resources, configurations, permissions, and usage; assist with cloud troubleshooting and optimization. Maintain appropriate administrative access and escalate architecture, security, or capacity concerns. Microsoft 365, Identity & Access Management Administer Microsoft 365 accounts, groups, licenses, permissions, and related services. Support Microsoft Entra ID administration, including authentication, multifactor authentication, role-based access, and account recovery. Provision, modify, review, and remove access based on approved business requirements and least-privilege principles. Monitor usage and licensing and identify opportunities to reclaim or optimize licenses. Network & Firewall Administration Administer and support corporate wired, wireless, remote-access, and VPN connectivity. Configure, monitor, troubleshoot, and maintain network equipment and services. Administer corporate firewall configurations and access in accordance with established security requirements. Maintain network and firewall documentation and coordinate escalated support with vendors or specialized resources. Endpoint, Imaging & Asset Management Configure, image, deploy, maintain, and support company computers and related equipment. Administer endpoints through Microsoft Intune and other approved management tools. Maintain standard device configurations and support operating system, application, security, and configuration updates. Manage the IT asset lifecycle, including inventory, assignment, transfer, recovery, replacement, secure disposition, warranty status, and refresh planning. Software & License Administration Administer corporate software subscriptions, licenses, user assignments, renewals, and administrative ownership. Provision and remove software access as employees join, leave, or change roles. Maintain accurate records of applications, licenses, administrative accounts, and assigned users. Coordinate software purchasing and renewal requirements with Finance, Procurement, and business owners. Website Administration Support the administration and maintenance of NuAxis internal and external websites. Coordinate website updates, permissions, availability, and technical troubleshooting with internal stakeholders and external vendors. Maintain appropriate administrative access and supporting technical documentation. Internal Customer Support Serve as a primary point of contact for internal IT support requests. Troubleshoot issues involving computers, software, Microsoft 365, accounts, permissions, connectivity, and corporate applications. Document, prioritize, resolve, and appropriately escalate service requests while communicating status and resolution clearly. Identify recurring issues and recommend permanent fixes, automation, documentation, or process improvements. Employee Lifecycle Support Provision employee accounts, equipment, software licenses, and approved access for onboarding. Modify access and licensing when employee responsibilities change. Disable accounts, revoke access, recover licenses, and coordinate equipment return during offboarding. Maintain records demonstrating completion of employee lifecycle activities. Security, Compliance & Process Documentation Implement established access-control, endpoint-security, and IT operating requirements. Identify and promptly escalate suspected security incidents, vulnerabilities, and configuration risks. Support remediation, audits, assessments, and evidence collection related to corporate IT systems. Maintain procedures, work instructions, configuration records, access records, inventories, and other required operational documentation. Support IT processes and documentation required by CMMI and other applicable management-system requirements. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Information Systems, Cybersecurity, or a related discipline, or an equivalent combination of education, training, and relevant experience. Three to five years of relevant experience in IT systems administration, infrastructure administration, or corporate IT support. Comptia A+ Hands-on experience supporting Microsoft Azure and Microsoft 365 environments. Experience with Microsoft Entra ID, identity and access management, permissions, multifactor authentication, and role-based access. Experience administering Windows endpoints and endpoint-management technologies such as Microsoft Intune. Experience supporting corporate networks, VPNs, firewalls, and network troubleshooting. Experience imaging, deploying, maintaining, and troubleshooting computers and peripherals. Experience with IT asset management and software-license administration. Demonstrated learning agility, including the ability to quickly understand new technologies, troubleshoot unfamiliar systems, and independently develop proficiency with evolving tools and platforms. Strong troubleshooting, analytical, organizational, and technical-documentation skills. Ability to communicate technical issues clearly to technical and nontechnical audiences, manage competing priorities, protect sensitive information, and escalate issues appropriately. Preferred Qualifications Experience supporting CMMI requirements, processes, documentation, or assessments. Current Microsoft Azure certification, such as Microsoft Certified: Azure Administrator Associate. Additional Microsoft 365, endpoint administration, networking, or security certification. Experience using Nextthink for digital employee experience, endpoint visibility, or IT operations. Familiarity with Barracuda Backup or comparable backup, recovery, and disaster-recovery technologies. Familiarity with Drupal administration, including user access, modules, updates, configuration, and technical troubleshooting. Experience working in a government contracting environment. Experience supporting internal and external corporate websites. Core Technologies & Areas of Responsibility Microsoft Azure • Microsoft 365 • Microsoft Entra ID • Microsoft Intune • Nextthink • Windows • Networking • Firewalls and VPN • Endpoint Management • IT Asset Management • Software Licensing • Website Administration • Identity and Access Management Success in This Role Employee accounts, equipment, access, and licenses are provisioned and removed accurately and on time. Hardware, software, and licensing inventories are complete, current, and reconcilable to employee records. Endpoints, networks, and cloud services are actively administered, documented, and supported. Internal support requests are resolved promptly or escalated with clear documentation and ownership. Administrative access and security-related issues are identified, documented, remediated, or escalated appropriately. Recurring IT activities become more standardized, measurable, and automated over time. Working Relationships This position works closely with the Program Management Office, People & Culture, Information Security, Finance and Procurement, program and delivery leadership, employees and managers, and external technology vendors and service providers. Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!
11/12/2026
Full time
We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Corporate IT Systems Administrator for a full-time position. Position Summary: The Corporate IT Systems Administrator is responsible for the day-to-day administration, support, security, and maintenance of NuAxis Innovations' corporate technology environment. Reporting to the Director, Program Management Office, this position provides hands-on technical support across cloud infrastructure, networks, endpoints, corporate systems, websites, user access, software licensing, and IT assets at the Corporate Headquarters in Vienna, VA. This role serves as a primary internal technical resource for employees and helps ensure the company's technology environment is secure, reliable, properly licensed, documented, and aligned with organizational requirements. The successful candidate will independently resolve routine and moderately complex issues, identify recurring problems and risks, improve processes, and escalate advanced infrastructure or security matters when appropriate. Key Responsibilities Azure & Cloud Administration Support the administration, maintenance, and documentation of the company's Microsoft Azure environment. Monitor Azure resources, configurations, permissions, and usage; assist with cloud troubleshooting and optimization. Maintain appropriate administrative access and escalate architecture, security, or capacity concerns. Microsoft 365, Identity & Access Management Administer Microsoft 365 accounts, groups, licenses, permissions, and related services. Support Microsoft Entra ID administration, including authentication, multifactor authentication, role-based access, and account recovery. Provision, modify, review, and remove access based on approved business requirements and least-privilege principles. Monitor usage and licensing and identify opportunities to reclaim or optimize licenses. Network & Firewall Administration Administer and support corporate wired, wireless, remote-access, and VPN connectivity. Configure, monitor, troubleshoot, and maintain network equipment and services. Administer corporate firewall configurations and access in accordance with established security requirements. Maintain network and firewall documentation and coordinate escalated support with vendors or specialized resources. Endpoint, Imaging & Asset Management Configure, image, deploy, maintain, and support company computers and related equipment. Administer endpoints through Microsoft Intune and other approved management tools. Maintain standard device configurations and support operating system, application, security, and configuration updates. Manage the IT asset lifecycle, including inventory, assignment, transfer, recovery, replacement, secure disposition, warranty status, and refresh planning. Software & License Administration Administer corporate software subscriptions, licenses, user assignments, renewals, and administrative ownership. Provision and remove software access as employees join, leave, or change roles. Maintain accurate records of applications, licenses, administrative accounts, and assigned users. Coordinate software purchasing and renewal requirements with Finance, Procurement, and business owners. Website Administration Support the administration and maintenance of NuAxis internal and external websites. Coordinate website updates, permissions, availability, and technical troubleshooting with internal stakeholders and external vendors. Maintain appropriate administrative access and supporting technical documentation. Internal Customer Support Serve as a primary point of contact for internal IT support requests. Troubleshoot issues involving computers, software, Microsoft 365, accounts, permissions, connectivity, and corporate applications. Document, prioritize, resolve, and appropriately escalate service requests while communicating status and resolution clearly. Identify recurring issues and recommend permanent fixes, automation, documentation, or process improvements. Employee Lifecycle Support Provision employee accounts, equipment, software licenses, and approved access for onboarding. Modify access and licensing when employee responsibilities change. Disable accounts, revoke access, recover licenses, and coordinate equipment return during offboarding. Maintain records demonstrating completion of employee lifecycle activities. Security, Compliance & Process Documentation Implement established access-control, endpoint-security, and IT operating requirements. Identify and promptly escalate suspected security incidents, vulnerabilities, and configuration risks. Support remediation, audits, assessments, and evidence collection related to corporate IT systems. Maintain procedures, work instructions, configuration records, access records, inventories, and other required operational documentation. Support IT processes and documentation required by CMMI and other applicable management-system requirements. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Information Systems, Cybersecurity, or a related discipline, or an equivalent combination of education, training, and relevant experience. Three to five years of relevant experience in IT systems administration, infrastructure administration, or corporate IT support. Comptia A+ Hands-on experience supporting Microsoft Azure and Microsoft 365 environments. Experience with Microsoft Entra ID, identity and access management, permissions, multifactor authentication, and role-based access. Experience administering Windows endpoints and endpoint-management technologies such as Microsoft Intune. Experience supporting corporate networks, VPNs, firewalls, and network troubleshooting. Experience imaging, deploying, maintaining, and troubleshooting computers and peripherals. Experience with IT asset management and software-license administration. Demonstrated learning agility, including the ability to quickly understand new technologies, troubleshoot unfamiliar systems, and independently develop proficiency with evolving tools and platforms. Strong troubleshooting, analytical, organizational, and technical-documentation skills. Ability to communicate technical issues clearly to technical and nontechnical audiences, manage competing priorities, protect sensitive information, and escalate issues appropriately. Preferred Qualifications Experience supporting CMMI requirements, processes, documentation, or assessments. Current Microsoft Azure certification, such as Microsoft Certified: Azure Administrator Associate. Additional Microsoft 365, endpoint administration, networking, or security certification. Experience using Nextthink for digital employee experience, endpoint visibility, or IT operations. Familiarity with Barracuda Backup or comparable backup, recovery, and disaster-recovery technologies. Familiarity with Drupal administration, including user access, modules, updates, configuration, and technical troubleshooting. Experience working in a government contracting environment. Experience supporting internal and external corporate websites. Core Technologies & Areas of Responsibility Microsoft Azure • Microsoft 365 • Microsoft Entra ID • Microsoft Intune • Nextthink • Windows • Networking • Firewalls and VPN • Endpoint Management • IT Asset Management • Software Licensing • Website Administration • Identity and Access Management Success in This Role Employee accounts, equipment, access, and licenses are provisioned and removed accurately and on time. Hardware, software, and licensing inventories are complete, current, and reconcilable to employee records. Endpoints, networks, and cloud services are actively administered, documented, and supported. Internal support requests are resolved promptly or escalated with clear documentation and ownership. Administrative access and security-related issues are identified, documented, remediated, or escalated appropriately. Recurring IT activities become more standardized, measurable, and automated over time. Working Relationships This position works closely with the Program Management Office, People & Culture, Information Security, Finance and Procurement, program and delivery leadership, employees and managers, and external technology vendors and service providers. Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!
DCS has an exciting opportunity for an Equipment Specialist providing support to the Air Force Life Cycle Management Center/Airborne Warning and Control System (AFLCMC/HBS/WIW). The Airborne Warning and Control System (AWACS) Division, has the collective Air Force Materiel Command (AFMC) mission responsibility to deliver airborne Battle Management Command & Control (BMC2) capabilities that support joint, allied, coalition, humanitarian, and homeland defense operations. Modernization efforts enable continued involvement with worldwide operations by revitalizing legacy mission systems, replacing aging computer architectures, integrating multi sensor data fusion, and improving global expeditionary readiness and availability. Additionally, the Division assists in the planned divestiture of the E 3 platform and in shaping development of follow on capabilities for future airborne C2 systems. This is a full time Hybrid position located at Tinker AFB, OK. Position Contingent Upon Contract Award Essential Job Functions: Duties include, but not limited to: Review and recommend changes to program-unique specifications to include system specifications, development specifications, and product specifications for both hardware and software, for proper format, content, and compliance with program requirements and standards Maintain a current drawing package for all modifications and ensuring the latest version of drawings are on file Ship and transmit drawing packages and their revisions Provide technical support and analysis on field, depot and modification program issues Prepare or assist with preparation of Time Compliance Technical Orders (TCTOs) to support configuration changes and inspections Support execution of CCB and subordinate board (e.g. Technical Review Board) directives by partnering with the Technical Content Managers to manage the publication and distribution of technical order changes Support engineering plans and OSS&E baselines by performing configuration management tasks (including management of DRs, AFTO 22s, and AFTO 252s) Produce monthly DR, AFTO 22, and AFTO 252 performance metrics Support the configuration control function to include receipt, dissemination, processing, tracking, and providing recommendation for the final disposition of Advanced Change Study Notices, ECPs, Requests for Deviation/Request for Waiver, Deficiency Reports (DRs), Airworthiness Directive Notes, Service Actions, Service Bulletins, Aircraft Service Changes, Notices of Deficiency, and Quality Control Plans (QCPs) Review change proposals management impacts, and compliance with Government requirements; provide recommendations for Government review and disposition and assist in the preparation and conduct of CCB and related subordinate boards; and assist in maintaining change proposal files and providing historical information Attend and support FCAs, PCAs, and Compliance Audits, to include auditing hardware and software Configuration Items (CIs), disposition and tracking of action items and assist with preparation of the minutes Assist with TIMs and the preparation of minutes from the meetings Assist and execute transition to a digital technical order system Monitor modification parts listings to identify items not loaded in the National Stock Number (NSN) system Process non-stock listed items into the Defense Logistics Agency (DLA) system. Monitor and process parts lists utilized under contractor logistics support for provisioning and configuration management planning and documentation Assist with the development of drawing packages, system-specific and standard, in support of CM Access system data within various sources/tools (e.g. Rockwell-Collins Inc Blazer, Integrated Maintenance Database System, HFGCS securities and tools Communications Control Management System to assist in development of OSS&E reporting data and documentation Provide input to the Technical Order Life Cycle Management Plan Maintain Government Furnished Equipment (GFE) inventory lists to include physical inventory as required Perform or assist in performing technical order validation/verification Provide technical maintenance and technical order support to users; regularly by telephone, e-mail, and local meetings or irregularly by direct field-support Assist Technical Orders Management Agency (TOMA) with cataloging and tracking of technical orders Develop methods, plans, feedback (control) requirements to meet program objectives for Technical Order (TO) management Assist in the completion of supporting documents to include Form 873, TCTO Requirement; Form 874, TCTO Supply Data Requirements; and Form 875, TCTO Programming Document; and coordination sheet Support establishment, coordination, documentation and justification of TO data requirements Provide integrated logistics support to include: provisioning and source coding, maintenance data collection, validation of technical orders, configuration management data, analysis and evaluation of quality deficiency reports, and/or identification of alternate sources of supply for diminishing manufacturing/ materiel sources Review and provide feedback to the Government on effectiveness and efficiency of Combat & Mission Support Systems and maintenance management, as well as the need for improvement of existing Range Systems practices that impact the overall program acquisition and sustainment Evaluate Air Force directives to ensure adherence to Government and Air Force standard methods, conformity in maintenance and equipment procedures while ensuring the proper use of Combat & Mission Support Systems, facilities, and support personnel Provide direct support to various IPTs to perform research on material pertaining to Branch maintenance and equipment management Conduct Logistics Supportability Analysis of Illustrated Parts Breakdowns to assure adequate piece part availability to support Shop Replaceable Unit (SRU) & Line Replaceable Unit (LRU) repair capability Maintain system Baselines to current fielded configurations when initiating parts and/or supplier information to include CAGE codes for part substitutions Utilize Government provided computer software programs to identify errors, equipment, non-mission capable time, and to recommend a course of action to improve readiness Support integrated logistics support efforts, provisioning and source coding, maintenance data collection, technical order management, configuration management, analysis of AFTO Form 22s, preparation of AFTO Form 252s, evaluation of quality deficiency reports, and/or identification of alternate sources of supply for diminishing manufacturing/materiel sources preferred Required skills may also include but not be limited to:Range systems background, or related experience with radar and/or other electronics systems at the system, subsystem or commodity level during all phases of program Travel: 20% (Hanscom, Seattle) Position Contingent Upon Contract Award Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Bachelor's Degree in a related field and 3 years of experience in the respective technical/professional discipline being performed, 3 of which must be in the DoD OR 7 years of directly related experience, 5 of which must be in the DoD. Must hold an active Secret clearance Desired Skills: Technical Skill Provide technical support and analysis on field, depot, and modification program issues, ensuring systems are evaluated and maintained effectively. Prepare or assist with Time Compliance Technical Orders (TCTOs) to support configuration changes and inspections. Review and recommend updates to program unique specifications (system, development, and product specifications for HW/SW) to ensure proper format, content, and compliance with program standards. Maintain accurate and current drawing packages for all modifications, ensuring the latest versions are tracked, stored, and accessible. Ship, transmit, and manage drawing package revisions to support modification workflows and engineering documentation control. Apply configuration management principles (including DRs, AFTO forms, and CM policies) in accordance with AFMC and DoD guidance during sustainment and acquisition support activities. Use Microsoft Office Suite to generate documentation, technical reports, data packages, and communications supporting equipment sustainment and engineering reviews. Interpersonal Skills Strong communication skills for coordinating with engineers, sustainment personnel, and program managers across HBS and broader AFLCMC/HB organizations. Self starter capable of independently managing documentation, CM activities, and support actions with minimal oversight. Effective team collaborator supporting cross functional engineering, logistics, and configuration management stakeholders. Demonstrated problem solving ability applied to configuration issues, technical discrepancies, and sustainment challenges. Reliable time management skills ensuring timely processing of TCTOs, drawing updates, and technical data reviews.
11/12/2026
Full time
DCS has an exciting opportunity for an Equipment Specialist providing support to the Air Force Life Cycle Management Center/Airborne Warning and Control System (AFLCMC/HBS/WIW). The Airborne Warning and Control System (AWACS) Division, has the collective Air Force Materiel Command (AFMC) mission responsibility to deliver airborne Battle Management Command & Control (BMC2) capabilities that support joint, allied, coalition, humanitarian, and homeland defense operations. Modernization efforts enable continued involvement with worldwide operations by revitalizing legacy mission systems, replacing aging computer architectures, integrating multi sensor data fusion, and improving global expeditionary readiness and availability. Additionally, the Division assists in the planned divestiture of the E 3 platform and in shaping development of follow on capabilities for future airborne C2 systems. This is a full time Hybrid position located at Tinker AFB, OK. Position Contingent Upon Contract Award Essential Job Functions: Duties include, but not limited to: Review and recommend changes to program-unique specifications to include system specifications, development specifications, and product specifications for both hardware and software, for proper format, content, and compliance with program requirements and standards Maintain a current drawing package for all modifications and ensuring the latest version of drawings are on file Ship and transmit drawing packages and their revisions Provide technical support and analysis on field, depot and modification program issues Prepare or assist with preparation of Time Compliance Technical Orders (TCTOs) to support configuration changes and inspections Support execution of CCB and subordinate board (e.g. Technical Review Board) directives by partnering with the Technical Content Managers to manage the publication and distribution of technical order changes Support engineering plans and OSS&E baselines by performing configuration management tasks (including management of DRs, AFTO 22s, and AFTO 252s) Produce monthly DR, AFTO 22, and AFTO 252 performance metrics Support the configuration control function to include receipt, dissemination, processing, tracking, and providing recommendation for the final disposition of Advanced Change Study Notices, ECPs, Requests for Deviation/Request for Waiver, Deficiency Reports (DRs), Airworthiness Directive Notes, Service Actions, Service Bulletins, Aircraft Service Changes, Notices of Deficiency, and Quality Control Plans (QCPs) Review change proposals management impacts, and compliance with Government requirements; provide recommendations for Government review and disposition and assist in the preparation and conduct of CCB and related subordinate boards; and assist in maintaining change proposal files and providing historical information Attend and support FCAs, PCAs, and Compliance Audits, to include auditing hardware and software Configuration Items (CIs), disposition and tracking of action items and assist with preparation of the minutes Assist with TIMs and the preparation of minutes from the meetings Assist and execute transition to a digital technical order system Monitor modification parts listings to identify items not loaded in the National Stock Number (NSN) system Process non-stock listed items into the Defense Logistics Agency (DLA) system. Monitor and process parts lists utilized under contractor logistics support for provisioning and configuration management planning and documentation Assist with the development of drawing packages, system-specific and standard, in support of CM Access system data within various sources/tools (e.g. Rockwell-Collins Inc Blazer, Integrated Maintenance Database System, HFGCS securities and tools Communications Control Management System to assist in development of OSS&E reporting data and documentation Provide input to the Technical Order Life Cycle Management Plan Maintain Government Furnished Equipment (GFE) inventory lists to include physical inventory as required Perform or assist in performing technical order validation/verification Provide technical maintenance and technical order support to users; regularly by telephone, e-mail, and local meetings or irregularly by direct field-support Assist Technical Orders Management Agency (TOMA) with cataloging and tracking of technical orders Develop methods, plans, feedback (control) requirements to meet program objectives for Technical Order (TO) management Assist in the completion of supporting documents to include Form 873, TCTO Requirement; Form 874, TCTO Supply Data Requirements; and Form 875, TCTO Programming Document; and coordination sheet Support establishment, coordination, documentation and justification of TO data requirements Provide integrated logistics support to include: provisioning and source coding, maintenance data collection, validation of technical orders, configuration management data, analysis and evaluation of quality deficiency reports, and/or identification of alternate sources of supply for diminishing manufacturing/ materiel sources Review and provide feedback to the Government on effectiveness and efficiency of Combat & Mission Support Systems and maintenance management, as well as the need for improvement of existing Range Systems practices that impact the overall program acquisition and sustainment Evaluate Air Force directives to ensure adherence to Government and Air Force standard methods, conformity in maintenance and equipment procedures while ensuring the proper use of Combat & Mission Support Systems, facilities, and support personnel Provide direct support to various IPTs to perform research on material pertaining to Branch maintenance and equipment management Conduct Logistics Supportability Analysis of Illustrated Parts Breakdowns to assure adequate piece part availability to support Shop Replaceable Unit (SRU) & Line Replaceable Unit (LRU) repair capability Maintain system Baselines to current fielded configurations when initiating parts and/or supplier information to include CAGE codes for part substitutions Utilize Government provided computer software programs to identify errors, equipment, non-mission capable time, and to recommend a course of action to improve readiness Support integrated logistics support efforts, provisioning and source coding, maintenance data collection, technical order management, configuration management, analysis of AFTO Form 22s, preparation of AFTO Form 252s, evaluation of quality deficiency reports, and/or identification of alternate sources of supply for diminishing manufacturing/materiel sources preferred Required skills may also include but not be limited to:Range systems background, or related experience with radar and/or other electronics systems at the system, subsystem or commodity level during all phases of program Travel: 20% (Hanscom, Seattle) Position Contingent Upon Contract Award Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Bachelor's Degree in a related field and 3 years of experience in the respective technical/professional discipline being performed, 3 of which must be in the DoD OR 7 years of directly related experience, 5 of which must be in the DoD. Must hold an active Secret clearance Desired Skills: Technical Skill Provide technical support and analysis on field, depot, and modification program issues, ensuring systems are evaluated and maintained effectively. Prepare or assist with Time Compliance Technical Orders (TCTOs) to support configuration changes and inspections. Review and recommend updates to program unique specifications (system, development, and product specifications for HW/SW) to ensure proper format, content, and compliance with program standards. Maintain accurate and current drawing packages for all modifications, ensuring the latest versions are tracked, stored, and accessible. Ship, transmit, and manage drawing package revisions to support modification workflows and engineering documentation control. Apply configuration management principles (including DRs, AFTO forms, and CM policies) in accordance with AFMC and DoD guidance during sustainment and acquisition support activities. Use Microsoft Office Suite to generate documentation, technical reports, data packages, and communications supporting equipment sustainment and engineering reviews. Interpersonal Skills Strong communication skills for coordinating with engineers, sustainment personnel, and program managers across HBS and broader AFLCMC/HB organizations. Self starter capable of independently managing documentation, CM activities, and support actions with minimal oversight. Effective team collaborator supporting cross functional engineering, logistics, and configuration management stakeholders. Demonstrated problem solving ability applied to configuration issues, technical discrepancies, and sustainment challenges. Reliable time management skills ensuring timely processing of TCTOs, drawing updates, and technical data reviews.
Senior Data Engineer Sponsorship is not provided No Third Party Resumes Onsite in Peachtree Corners, GA - Hybrid Salary - Competitive Position Summary We are seeking an experienced, highly motivated Senior Data Engineer to help design, develop, and optimize our enterprise data infrastructure. This role requires a strong technical background in data engineering, cloud-based technologies, and modern data architecture, with a particular focus on Microsoft Azure, Azure Databricks, Azure Data Factory, and PySpark. The ideal candidate is a hands-on technical leader who can translate business requirements into scalable data solutions, establish best practices, and drive continuous improvement across our data environment. This position offers the opportunity to take ownership of key projects, influence technical strategy, and collaborate with cross-functional teams. While there are no direct reports, the Senior Data Engineer will provide technical guidance, mentor junior team members, and lead project initiatives. Key Responsibilities Data Engineering & Architecture Design, build, and maintain scalable batch and streaming data pipelines using Azure Databricks, Azure Data Factory, and related technologies. Develop and optimize data ingestion, transformation, and integration processes (ETL/ELT). Architect and support enterprise-wide data platforms, data lakes, and data warehousing solutions. Integrate Azure Databricks with Azure Data Lake Storage (ADLS), Power BI, Azure DevOps, and Azure Key Vault. Develop efficient data models and ensure data quality, reliability, and accessibility. Optimize Apache Spark jobs, cluster configurations, serverless policies, and cloud infrastructure to improve performance and manage costs. Cloud Infrastructure, Security & Automation Implement and manage Unity Catalog to support data governance, access control, lineage, and security compliance. Build and maintain CI/CD pipelines for Databricks notebooks and workflows using Azure DevOps and Terraform. Establish and enforce technical standards, development practices, and cloud architecture guidelines. Identify opportunities to improve automation, scalability, and overall platform efficiency. Technical Leadership & Collaboration Partner with business stakeholders, analysts, and technical teams to understand current and future data requirements. Help define and execute the organization's long-term data strategy. Provide technical direction and recommendations for new tools, platforms, and technologies. Lead data engineering projects from planning through implementation. Mentor junior data engineers and promote knowledge sharing across the team. Collaborate with data engineers, analysts, and other technical professionals to support AI and machine learning initiatives. Evaluate emerging technologies and recommend solutions that enhance data capabilities. Assist with project planning, resource allocation, and assessment of future staffing needs. Required Qualifications Education & Experience Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related technical field. 4+ years of hands-on experience in data engineering, including working with large datasets and database systems. 2+ years of experience working with cloud-based data technologies, preferably Microsoft Azure. Experience designing and supporting enterprise-scale data platforms and architectures. Strong background in ETL/ELT development, data transformation, integration, and modeling. Technical Skills Strong hands-on experience with Azure Databricks and Azure Data Factory. Proficiency in Python, PySpark, and SQL. Experience with Apache Spark, Spark SQL, Delta Lake, and Databricks Jobs. Experience with Azure Data Lake Storage (ADLS), Azure Key Vault, and Power BI. Knowledge of Azure DevOps and CI/CD development practices. Experience with data warehousing, data lake architecture, and modern cloud data platforms. Understanding of cloud storage, compute resources, data orchestration, and reporting technologies. Experience optimizing data pipelines and processing large-scale datasets. Preferred Qualifications Experience implementing Unity Catalog for data governance and security. Experience using Terraform for infrastructure automation. Knowledge of serverless computing, Spark performance tuning, and cloud cost optimization. Experience supporting AI/ML data workloads. Experience establishing enterprise data engineering standards and best practices. Previous experience mentoring engineers or serving as a technical project lead. Professional Skills & Competencies Strong analytical, troubleshooting, and problem-solving abilities. Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and nontechnical audiences. Ability to collaborate effectively across departments and work with business stakeholders. Strong organizational and time-management skills with the ability to balance multiple priorities. Demonstrated ability to independently lead projects, manage deadlines, and deliver results. Adaptability in a fast-paced environment with evolving business needs. Proactive mindset with a focus on innovation, continuous improvement, and technical excellence. Leadership Responsibilities This is an individual contributor position with technical leadership responsibilities. While the role does not have direct supervisory reports, the Senior Data Engineer will lead projects, provide technical oversight, mentor junior resources, and help guide engineering best practices. Compensation & Benefits We offer the successful candidate: Competitive salary commensurate with education, experience, and skills. Quarterly bonus incentives based on operational performance. Comprehensive benefits available after 30 days, including medical, dental, vision, life insurance, short-term disability (STD), and long-term disability (LTD). 401(k) retirement plan. Paid Time Off (PTO). About Capstone Logistics Capstone Logistics is a leading North American supply chain solutions partner with more than 650 operating locations, 19,000 associates, and 60,000 carriers. Our comprehensive services include freight management, warehouse and distribution center support, last-mile delivery, supply chain analytics, optimization, and more. Through our integrated, end-to-end logistics solutions, we help our partners improve operational efficiency, streamline supply chain processes, and reduce warehousing and transportation costs. Join a growing organization where innovation, collaboration, and operational excellence drive our success. Capstone Logistics is an Equal Opportunity Employer committed to quality through diversity. We are a drug-free workplace, and a background check is required.
11/12/2026
Full time
Senior Data Engineer Sponsorship is not provided No Third Party Resumes Onsite in Peachtree Corners, GA - Hybrid Salary - Competitive Position Summary We are seeking an experienced, highly motivated Senior Data Engineer to help design, develop, and optimize our enterprise data infrastructure. This role requires a strong technical background in data engineering, cloud-based technologies, and modern data architecture, with a particular focus on Microsoft Azure, Azure Databricks, Azure Data Factory, and PySpark. The ideal candidate is a hands-on technical leader who can translate business requirements into scalable data solutions, establish best practices, and drive continuous improvement across our data environment. This position offers the opportunity to take ownership of key projects, influence technical strategy, and collaborate with cross-functional teams. While there are no direct reports, the Senior Data Engineer will provide technical guidance, mentor junior team members, and lead project initiatives. Key Responsibilities Data Engineering & Architecture Design, build, and maintain scalable batch and streaming data pipelines using Azure Databricks, Azure Data Factory, and related technologies. Develop and optimize data ingestion, transformation, and integration processes (ETL/ELT). Architect and support enterprise-wide data platforms, data lakes, and data warehousing solutions. Integrate Azure Databricks with Azure Data Lake Storage (ADLS), Power BI, Azure DevOps, and Azure Key Vault. Develop efficient data models and ensure data quality, reliability, and accessibility. Optimize Apache Spark jobs, cluster configurations, serverless policies, and cloud infrastructure to improve performance and manage costs. Cloud Infrastructure, Security & Automation Implement and manage Unity Catalog to support data governance, access control, lineage, and security compliance. Build and maintain CI/CD pipelines for Databricks notebooks and workflows using Azure DevOps and Terraform. Establish and enforce technical standards, development practices, and cloud architecture guidelines. Identify opportunities to improve automation, scalability, and overall platform efficiency. Technical Leadership & Collaboration Partner with business stakeholders, analysts, and technical teams to understand current and future data requirements. Help define and execute the organization's long-term data strategy. Provide technical direction and recommendations for new tools, platforms, and technologies. Lead data engineering projects from planning through implementation. Mentor junior data engineers and promote knowledge sharing across the team. Collaborate with data engineers, analysts, and other technical professionals to support AI and machine learning initiatives. Evaluate emerging technologies and recommend solutions that enhance data capabilities. Assist with project planning, resource allocation, and assessment of future staffing needs. Required Qualifications Education & Experience Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related technical field. 4+ years of hands-on experience in data engineering, including working with large datasets and database systems. 2+ years of experience working with cloud-based data technologies, preferably Microsoft Azure. Experience designing and supporting enterprise-scale data platforms and architectures. Strong background in ETL/ELT development, data transformation, integration, and modeling. Technical Skills Strong hands-on experience with Azure Databricks and Azure Data Factory. Proficiency in Python, PySpark, and SQL. Experience with Apache Spark, Spark SQL, Delta Lake, and Databricks Jobs. Experience with Azure Data Lake Storage (ADLS), Azure Key Vault, and Power BI. Knowledge of Azure DevOps and CI/CD development practices. Experience with data warehousing, data lake architecture, and modern cloud data platforms. Understanding of cloud storage, compute resources, data orchestration, and reporting technologies. Experience optimizing data pipelines and processing large-scale datasets. Preferred Qualifications Experience implementing Unity Catalog for data governance and security. Experience using Terraform for infrastructure automation. Knowledge of serverless computing, Spark performance tuning, and cloud cost optimization. Experience supporting AI/ML data workloads. Experience establishing enterprise data engineering standards and best practices. Previous experience mentoring engineers or serving as a technical project lead. Professional Skills & Competencies Strong analytical, troubleshooting, and problem-solving abilities. Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and nontechnical audiences. Ability to collaborate effectively across departments and work with business stakeholders. Strong organizational and time-management skills with the ability to balance multiple priorities. Demonstrated ability to independently lead projects, manage deadlines, and deliver results. Adaptability in a fast-paced environment with evolving business needs. Proactive mindset with a focus on innovation, continuous improvement, and technical excellence. Leadership Responsibilities This is an individual contributor position with technical leadership responsibilities. While the role does not have direct supervisory reports, the Senior Data Engineer will lead projects, provide technical oversight, mentor junior resources, and help guide engineering best practices. Compensation & Benefits We offer the successful candidate: Competitive salary commensurate with education, experience, and skills. Quarterly bonus incentives based on operational performance. Comprehensive benefits available after 30 days, including medical, dental, vision, life insurance, short-term disability (STD), and long-term disability (LTD). 401(k) retirement plan. Paid Time Off (PTO). About Capstone Logistics Capstone Logistics is a leading North American supply chain solutions partner with more than 650 operating locations, 19,000 associates, and 60,000 carriers. Our comprehensive services include freight management, warehouse and distribution center support, last-mile delivery, supply chain analytics, optimization, and more. Through our integrated, end-to-end logistics solutions, we help our partners improve operational efficiency, streamline supply chain processes, and reduce warehousing and transportation costs. Join a growing organization where innovation, collaboration, and operational excellence drive our success. Capstone Logistics is an Equal Opportunity Employer committed to quality through diversity. We are a drug-free workplace, and a background check is required.
DTS is looking for Salesforce Architect for a long term contract with our direct client Position in Lansing, MI Top Skills & Years of Experience: 5+ years of experience gathering and analyzing business and technical requirements in collaboration with stakeholders Experience designing and implementing CI/CD pipelines, including pipeline-as-code, branching strategies, automated code reviews, and testing aligned with organizational goals Strong ability to communicate technical concepts clearly and effectively to both technical and non-technical audiences 2-3 Salesforce certifications required 5+ years of hands-on experience with Salesforce, SQL, Java, and web services development Preferred: Salesforce Architect certification Experience working on enterprise-level implementations Database-related certifications Role description: Job Summary: The architect is responsible for leading the design, development, and implementation of enterprise-grade Salesforce solutions, ensuring architectural integrity, platform optimization, and alignment with client's strategic and operational goals. This includes transitioning legacy systems to a modern Salesforce-based platform, with a focus on Sales Cloud, Service Cloud, Experience Cloud, and Field Service Lightning (FSL). Job Responsibilities: Leading end-to-end architecture and technical design of Salesforce solutions that support case management, field service operations, and user engagement. Conducting org health checks and platform assessments, and delivering actionable recommendations based on Salesforce best practices. Participating in Design & Discovery sessions and promoting the adoption of Salesforce's Well-Architected Framework. Providing technical leadership and mentorship to development teams, including state employees and contractors. Collaborating with business analysts, product owners, and stakeholders to translate complex business requirements into scalable, maintainable Salesforce solutions. Overseeing proof-of-concepts (POCs) to validate technical feasibility and business value of proposed solutions. Ensuring secure application development lifecycle (SADLC) practices are followed throughout all phases of development and deployment. Setting the technical direction for MDHHS Child Welfare applications. Supporting 24/7 operations of Tier 2 applications like MiSACWIS, which serve over 8,000 users across state and private agencies. Ensuring compliance with security, performance, and regulatory standards. Primary Duties (80%): Serve as the development specialist responsible for the design, development, testing and documentation of the technical software solutions. Solve system design problems and programming issues. Ensure that the solutions are integrated and enhanced to meet the needs of the agency's business plan. Lead development of software applications, server components and services using various development tools and State of Michigan approved/supported technologies. Plan/Coordinate integration of systems within the business area, external partners, state agencies, and hosting platforms. Design and implement application security that complies with State of Michigan policies. Lead/Direct impact analysis of changes due to legislation, requests, or changes in governmental and business processes. Review/Approve presentation materials for technical review meetings, approval sessions, application demonstrations. Ensure that technical design strategies or applications adhere to State and agency policies, standards, and guidelines. Review and approve State of Michigan system engineering methodology or other required technical deliverables. Primary Duties (15%): Provide technical leadership to the application development team, agency, and external groups Work with teams and product owners to refine SADLC, prioritize agile backlogs, and maintain release readiness/schedule. Ensure compliance with ECM standards and procedures across development, system test, user acceptance testing, security, and production environments, includes coordinating, creating, approving, and monitoring required work items. Make technical recommendation(s) and/or decision(s) for changes to the Bridges application based on user requirements. Solve complex system design and programming problems which ensure high security is addressed for client level of data. Plan for coordination, development, testing and integration of systems and data with Bridges. Primary Duties (5%): Research and evaluate relevant technology as it pertains to the business strategy Maintain thorough, up to date knowledge of programming techniques used in software development in line with the DTMB technology standards Recommend configuration management tool best practices. Identify/Share/Recommend improvements to tools and technology to development team and technical support staff. Required Education: Bachelor's Degree Required Skills: 5+ years of experience gathering and analyzing business and technical requirements in collaboration with stakeholders Experience designing and implementing CI/CD pipelines, including pipeline-as-code, branching strategies, automated code reviews, and testing aligned with organizational goals Strong ability to communicate technical concepts clearly and effectively to both technical and non-technical audiences 2-3 Salesforce certifications required 5+ years of hands-on experience with Salesforce, SQL, Java, and web services development Most Preferred Skills: Salesforce Architect certification Experience working on enterprise-level implementations Database-related certifications
11/12/2026
Full time
DTS is looking for Salesforce Architect for a long term contract with our direct client Position in Lansing, MI Top Skills & Years of Experience: 5+ years of experience gathering and analyzing business and technical requirements in collaboration with stakeholders Experience designing and implementing CI/CD pipelines, including pipeline-as-code, branching strategies, automated code reviews, and testing aligned with organizational goals Strong ability to communicate technical concepts clearly and effectively to both technical and non-technical audiences 2-3 Salesforce certifications required 5+ years of hands-on experience with Salesforce, SQL, Java, and web services development Preferred: Salesforce Architect certification Experience working on enterprise-level implementations Database-related certifications Role description: Job Summary: The architect is responsible for leading the design, development, and implementation of enterprise-grade Salesforce solutions, ensuring architectural integrity, platform optimization, and alignment with client's strategic and operational goals. This includes transitioning legacy systems to a modern Salesforce-based platform, with a focus on Sales Cloud, Service Cloud, Experience Cloud, and Field Service Lightning (FSL). Job Responsibilities: Leading end-to-end architecture and technical design of Salesforce solutions that support case management, field service operations, and user engagement. Conducting org health checks and platform assessments, and delivering actionable recommendations based on Salesforce best practices. Participating in Design & Discovery sessions and promoting the adoption of Salesforce's Well-Architected Framework. Providing technical leadership and mentorship to development teams, including state employees and contractors. Collaborating with business analysts, product owners, and stakeholders to translate complex business requirements into scalable, maintainable Salesforce solutions. Overseeing proof-of-concepts (POCs) to validate technical feasibility and business value of proposed solutions. Ensuring secure application development lifecycle (SADLC) practices are followed throughout all phases of development and deployment. Setting the technical direction for MDHHS Child Welfare applications. Supporting 24/7 operations of Tier 2 applications like MiSACWIS, which serve over 8,000 users across state and private agencies. Ensuring compliance with security, performance, and regulatory standards. Primary Duties (80%): Serve as the development specialist responsible for the design, development, testing and documentation of the technical software solutions. Solve system design problems and programming issues. Ensure that the solutions are integrated and enhanced to meet the needs of the agency's business plan. Lead development of software applications, server components and services using various development tools and State of Michigan approved/supported technologies. Plan/Coordinate integration of systems within the business area, external partners, state agencies, and hosting platforms. Design and implement application security that complies with State of Michigan policies. Lead/Direct impact analysis of changes due to legislation, requests, or changes in governmental and business processes. Review/Approve presentation materials for technical review meetings, approval sessions, application demonstrations. Ensure that technical design strategies or applications adhere to State and agency policies, standards, and guidelines. Review and approve State of Michigan system engineering methodology or other required technical deliverables. Primary Duties (15%): Provide technical leadership to the application development team, agency, and external groups Work with teams and product owners to refine SADLC, prioritize agile backlogs, and maintain release readiness/schedule. Ensure compliance with ECM standards and procedures across development, system test, user acceptance testing, security, and production environments, includes coordinating, creating, approving, and monitoring required work items. Make technical recommendation(s) and/or decision(s) for changes to the Bridges application based on user requirements. Solve complex system design and programming problems which ensure high security is addressed for client level of data. Plan for coordination, development, testing and integration of systems and data with Bridges. Primary Duties (5%): Research and evaluate relevant technology as it pertains to the business strategy Maintain thorough, up to date knowledge of programming techniques used in software development in line with the DTMB technology standards Recommend configuration management tool best practices. Identify/Share/Recommend improvements to tools and technology to development team and technical support staff. Required Education: Bachelor's Degree Required Skills: 5+ years of experience gathering and analyzing business and technical requirements in collaboration with stakeholders Experience designing and implementing CI/CD pipelines, including pipeline-as-code, branching strategies, automated code reviews, and testing aligned with organizational goals Strong ability to communicate technical concepts clearly and effectively to both technical and non-technical audiences 2-3 Salesforce certifications required 5+ years of hands-on experience with Salesforce, SQL, Java, and web services development Most Preferred Skills: Salesforce Architect certification Experience working on enterprise-level implementations Database-related certifications
Job Description Job Description Fives Group is seen a Software Engineer About Fives Group: Fives Group, headquartered in Paris, France, is an industrial engineering group founded in 1812 that designs and supplies machines, process equipment and production lines for the world's largest industrial groups including the aluminum, steel, tube and pipe, glass, automotive, aerospace, logistics, cement and energy sectors. In 2023, Fives achieved sales of $2.5 billion with a team of close to 9,000 employees and a network of over 100 operational units in over 25 countries. Accountability: The position is for a Software Controls Engineer at Fives Cincinnati. This person will have responsibility for the control software engineering design and implementation required for composite products developed and produced at the Fives Cincinnati Hebron, KY, facility. This software developer will provide innovative original technical design, project leadership for sold and development projects, sales and service support, and overall software system architecture Scope and Responsibilities: Essential duties include, but are not limited to the following: • Responsible for the developing and supporting real-time control system and communication interfaces • Develop specifications and proper documentation of application software for communication within the software engineering group and other departments for training and customer documentation • Create application software, HMI, PLC, and real-time motion control for new machine hardware and features • Troubleshoots software issues in support of product startup, including acceptance at customers facilities when required - travel less than 10% • Work with Electrical Design engineering to select and layout hardware, including controls, amplifiers, digital input and output cards and other components. • Work with control vendors on new product development requirements and resolving open control issues. • Maintains software project cost targets and schedules to ensure projects are on track. Provides updates on project status as required • Participate in cross-functional design teams spanning the entire product life cycle, beginning with specification, and continuing through implementation to product shipment • Supports commonality and consistency within & across product lines for the business group. • Focus on continuously improving and optimizing system performance, increasing control system functionality and capability • Proactively maintain and promote a safe and healthy work environment for all employees Education/Certification: Education: BS in Electrical Engineering, Computer Engineering or Computer Science Must be a U.S. citizen or have permanent residency status (green card) Experience: • Minimum 5 years experience with industrial process equipment • 3-5 years of motion control programming experience preferred - additive or subtractive material processing Required Skills: • Programming experience in C, C#, and C++, Visual Basic, XML. Visual Studio experience a plus. • Experience with programming in real-time operating system environment • Experience with multi axis servo systems design, motion control systems, and robotic interfaces • Experience with sensor interfaces, IO, fieldbus, and related technology • Ability to troubleshoot electro-mechanical and software issues • Ability to work well in a team environment possessing strong verbal and written communication skills • Self-driven and motivated to succeed • Able to work with minimal supervision • Competency in Microsoft Office products • Experience with integrating machine safety systems within software applications • Experience with software quality systems/processes Benefits: Hired employees will receive great benefits along with an extremely competitive compensation package. Benefits include Health, Dental, Vision, Life, Disability, Holidays, Personal Time Off and 401K & IRA and more.
11/12/2026
Full time
Job Description Job Description Fives Group is seen a Software Engineer About Fives Group: Fives Group, headquartered in Paris, France, is an industrial engineering group founded in 1812 that designs and supplies machines, process equipment and production lines for the world's largest industrial groups including the aluminum, steel, tube and pipe, glass, automotive, aerospace, logistics, cement and energy sectors. In 2023, Fives achieved sales of $2.5 billion with a team of close to 9,000 employees and a network of over 100 operational units in over 25 countries. Accountability: The position is for a Software Controls Engineer at Fives Cincinnati. This person will have responsibility for the control software engineering design and implementation required for composite products developed and produced at the Fives Cincinnati Hebron, KY, facility. This software developer will provide innovative original technical design, project leadership for sold and development projects, sales and service support, and overall software system architecture Scope and Responsibilities: Essential duties include, but are not limited to the following: • Responsible for the developing and supporting real-time control system and communication interfaces • Develop specifications and proper documentation of application software for communication within the software engineering group and other departments for training and customer documentation • Create application software, HMI, PLC, and real-time motion control for new machine hardware and features • Troubleshoots software issues in support of product startup, including acceptance at customers facilities when required - travel less than 10% • Work with Electrical Design engineering to select and layout hardware, including controls, amplifiers, digital input and output cards and other components. • Work with control vendors on new product development requirements and resolving open control issues. • Maintains software project cost targets and schedules to ensure projects are on track. Provides updates on project status as required • Participate in cross-functional design teams spanning the entire product life cycle, beginning with specification, and continuing through implementation to product shipment • Supports commonality and consistency within & across product lines for the business group. • Focus on continuously improving and optimizing system performance, increasing control system functionality and capability • Proactively maintain and promote a safe and healthy work environment for all employees Education/Certification: Education: BS in Electrical Engineering, Computer Engineering or Computer Science Must be a U.S. citizen or have permanent residency status (green card) Experience: • Minimum 5 years experience with industrial process equipment • 3-5 years of motion control programming experience preferred - additive or subtractive material processing Required Skills: • Programming experience in C, C#, and C++, Visual Basic, XML. Visual Studio experience a plus. • Experience with programming in real-time operating system environment • Experience with multi axis servo systems design, motion control systems, and robotic interfaces • Experience with sensor interfaces, IO, fieldbus, and related technology • Ability to troubleshoot electro-mechanical and software issues • Ability to work well in a team environment possessing strong verbal and written communication skills • Self-driven and motivated to succeed • Able to work with minimal supervision • Competency in Microsoft Office products • Experience with integrating machine safety systems within software applications • Experience with software quality systems/processes Benefits: Hired employees will receive great benefits along with an extremely competitive compensation package. Benefits include Health, Dental, Vision, Life, Disability, Holidays, Personal Time Off and 401K & IRA and more.
Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Machine Learning Engineer for a contract assignment with one of our premier BANKING clients in Cincinnati, OH . Responsibilities : Design, build, and optimize scalable machine learning platforms and production ML systems. Focus on enabling end-to-end machine learning lifecycle management, including feature engineering, model development, deployment automation, monitoring, governance, and continuous improvement. ML Platform Engineering & Model Operations Design, develop, deploy, and manage production-grade machine learning solutions. Build scalable and reusable machine learning platforms that support model development, training, validation, deployment, and monitoring. Implement best practices for model versioning, experimentation tracking, governance, and reproducibility. Develop frameworks to support both batch and real-time inference workloads. Optimize machine learning systems for performance, reliability, maintainability, and cost efficiency. MLOps Pipeline Development Design and maintain automated CI/CD/CT (Continuous Integration, Continuous Delivery, Continuous Training) pipelines for machine learning workflows. Automate model testing, validation, deployment, rollback, and retraining processes. Establish infrastructure-as-code practices and automated environment provisioning. Build operational tooling to support model lifecycle management across development, testing, and production environments. Feature Store & Data Engineering Integration Design and support enterprise feature stores to improve feature reuse, consistency, and model governance. Collaborate with data engineering teams to integrate machine learning solutions with data warehouses, data lakes, and operational data sources. Develop scalable data pipelines supporting both training and inference workloads. Optimize data availability, quality, lineage, and observability. Production Monitoring & Reliability Implement model monitoring frameworks covering: Model performance Data quality Data drift Concept drift Feature drift System health and reliability Establish alerting, observability, and incident management processes. Develop strategies for model retraining and continuous performance improvement. Real-Time Machine Learning Systems Build and support low-latency scoring and prediction platforms. Develop event-driven machine learning architectures using streaming technologies. Partner with business and engineering teams to enable near real-time decisioning capabilities. Governance, Security & Compliance Implement MLOps governance standards and controls. Ensure compliance with enterprise security, privacy, risk, and regulatory requirements. Support model auditability, explainability, lineage tracking, and documentation. Partner with risk, compliance, and cybersecurity teams to maintain operational standards. Collaboration & Technical Leadership Collaborate closely with data scientists, analytics teams, product owners, and software engineers. Translate business requirements into scalable technical solutions. Mentor junior engineers and contribute to MLOps standards, patterns, and best practices. Drive adoption of modern machine learning engineering methodologies across the organization. The engineer will help establish and mature enterprise MLOps capabilities, including: Feature Store implementation and adoption. Model Registry and governance processes. Automated CI/CD/CT pipelines. Real-time model deployment and scoring. Enterprise machine learning monitoring and observability. Reusable machine learning platform services that accelerate model development and deployment across data science teams. Required Skills : 5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering. 3+ years of experience building and supporting production machine learning systems. The ideal candidate has strong experience building and operationalizing machine learning solutions in cloud environments, developing CI/CD pipelines for ML workloads, and collaborating with data scientists, data engineers, software engineers, and business stakeholders. Experience working in highly regulated industries such as financial services, banking, healthcare, insurance, or telecommunications is highly desirable. Demonstrated experience implementing end-to-end machine learning lifecycle management. Experience operating ML workloads in cloud environments (AWS, Azure, or GCP). Experience supporting both batch and real-time machine learning solutions. Experience working with large-scale structured and unstructured data. Machine Learning & MLOps ML lifecycle management Model deployment and orchestration Experiment tracking and model versioning Model monitoring and observability Feature Store architecture Model Registry implementation Automated retraining workflows Responsible AI and model governance practices Cloud Platforms Experience with one or more: AWS SageMaker Azure Machine Learning Google Vertex AI Programming Proficiency in: Python (required) SQL (required) Java, Scala, or R (preferred) Data Platforms Experience with: Snowflake Databricks IBM DB2 or equivalent enterprise RDBMS platforms Data lakes and modern cloud storage platforms Data Transformation Experience with: dbt Spark Pandas PySpark DevOps & Infrastructure Experience with: Git/GitHub/GitLab Jenkins, GitHub Actions, Azure DevOps, or equivalent CI/CD tools Terraform or infrastructure-as-code frameworks Linux administration Shell scripting Containers & Orchestration Experience with: Docker Kubernetes OpenShift (preferred) Streaming & Real-Time Technologies Experience with: Apache Kafka Event-driven architectures Real-time inference pipelines Monitoring & Observability Experience with: Prometheus Grafana ELK Stack Cloud-native monitoring solutions Preferred Skills : Experience implementing enterprise Feature Stores. Experience designing Model Registry and ML Governance frameworks. Experience building real-time decisioning or scoring platforms. Experience supporting credit risk, fraud, customer analytics, recommendation systems, or predictive analytics use cases. Experience with MLFlow, Kubeflow, Airflow, Argo Workflows, Feast, SageMaker Pipelines, or similar MLOps platforms. Knowledge of software architecture patterns and distributed systems. Familiarity with AI/ML regulatory frameworks and model risk management practices. Relevant cloud certifications (AWS, Azure, GCP) preferred. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.
11/12/2026
Full time
Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Machine Learning Engineer for a contract assignment with one of our premier BANKING clients in Cincinnati, OH . Responsibilities : Design, build, and optimize scalable machine learning platforms and production ML systems. Focus on enabling end-to-end machine learning lifecycle management, including feature engineering, model development, deployment automation, monitoring, governance, and continuous improvement. ML Platform Engineering & Model Operations Design, develop, deploy, and manage production-grade machine learning solutions. Build scalable and reusable machine learning platforms that support model development, training, validation, deployment, and monitoring. Implement best practices for model versioning, experimentation tracking, governance, and reproducibility. Develop frameworks to support both batch and real-time inference workloads. Optimize machine learning systems for performance, reliability, maintainability, and cost efficiency. MLOps Pipeline Development Design and maintain automated CI/CD/CT (Continuous Integration, Continuous Delivery, Continuous Training) pipelines for machine learning workflows. Automate model testing, validation, deployment, rollback, and retraining processes. Establish infrastructure-as-code practices and automated environment provisioning. Build operational tooling to support model lifecycle management across development, testing, and production environments. Feature Store & Data Engineering Integration Design and support enterprise feature stores to improve feature reuse, consistency, and model governance. Collaborate with data engineering teams to integrate machine learning solutions with data warehouses, data lakes, and operational data sources. Develop scalable data pipelines supporting both training and inference workloads. Optimize data availability, quality, lineage, and observability. Production Monitoring & Reliability Implement model monitoring frameworks covering: Model performance Data quality Data drift Concept drift Feature drift System health and reliability Establish alerting, observability, and incident management processes. Develop strategies for model retraining and continuous performance improvement. Real-Time Machine Learning Systems Build and support low-latency scoring and prediction platforms. Develop event-driven machine learning architectures using streaming technologies. Partner with business and engineering teams to enable near real-time decisioning capabilities. Governance, Security & Compliance Implement MLOps governance standards and controls. Ensure compliance with enterprise security, privacy, risk, and regulatory requirements. Support model auditability, explainability, lineage tracking, and documentation. Partner with risk, compliance, and cybersecurity teams to maintain operational standards. Collaboration & Technical Leadership Collaborate closely with data scientists, analytics teams, product owners, and software engineers. Translate business requirements into scalable technical solutions. Mentor junior engineers and contribute to MLOps standards, patterns, and best practices. Drive adoption of modern machine learning engineering methodologies across the organization. The engineer will help establish and mature enterprise MLOps capabilities, including: Feature Store implementation and adoption. Model Registry and governance processes. Automated CI/CD/CT pipelines. Real-time model deployment and scoring. Enterprise machine learning monitoring and observability. Reusable machine learning platform services that accelerate model development and deployment across data science teams. Required Skills : 5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering. 3+ years of experience building and supporting production machine learning systems. The ideal candidate has strong experience building and operationalizing machine learning solutions in cloud environments, developing CI/CD pipelines for ML workloads, and collaborating with data scientists, data engineers, software engineers, and business stakeholders. Experience working in highly regulated industries such as financial services, banking, healthcare, insurance, or telecommunications is highly desirable. Demonstrated experience implementing end-to-end machine learning lifecycle management. Experience operating ML workloads in cloud environments (AWS, Azure, or GCP). Experience supporting both batch and real-time machine learning solutions. Experience working with large-scale structured and unstructured data. Machine Learning & MLOps ML lifecycle management Model deployment and orchestration Experiment tracking and model versioning Model monitoring and observability Feature Store architecture Model Registry implementation Automated retraining workflows Responsible AI and model governance practices Cloud Platforms Experience with one or more: AWS SageMaker Azure Machine Learning Google Vertex AI Programming Proficiency in: Python (required) SQL (required) Java, Scala, or R (preferred) Data Platforms Experience with: Snowflake Databricks IBM DB2 or equivalent enterprise RDBMS platforms Data lakes and modern cloud storage platforms Data Transformation Experience with: dbt Spark Pandas PySpark DevOps & Infrastructure Experience with: Git/GitHub/GitLab Jenkins, GitHub Actions, Azure DevOps, or equivalent CI/CD tools Terraform or infrastructure-as-code frameworks Linux administration Shell scripting Containers & Orchestration Experience with: Docker Kubernetes OpenShift (preferred) Streaming & Real-Time Technologies Experience with: Apache Kafka Event-driven architectures Real-time inference pipelines Monitoring & Observability Experience with: Prometheus Grafana ELK Stack Cloud-native monitoring solutions Preferred Skills : Experience implementing enterprise Feature Stores. Experience designing Model Registry and ML Governance frameworks. Experience building real-time decisioning or scoring platforms. Experience supporting credit risk, fraud, customer analytics, recommendation systems, or predictive analytics use cases. Experience with MLFlow, Kubeflow, Airflow, Argo Workflows, Feast, SageMaker Pipelines, or similar MLOps platforms. Knowledge of software architecture patterns and distributed systems. Familiarity with AI/ML regulatory frameworks and model risk management practices. Relevant cloud certifications (AWS, Azure, GCP) preferred. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.
Job Description Job Description Infrastructure Engineer, AI for Chip Design Full-time On-site San Jose, CA Austin, TX or Taiwan About the Role Our client seeks an Infrastructure Engineer to design and operate the platform that runs our agentic design-automation systems - both on our own multi-cloud infrastructure and inside our customers' on-prem, private-cloud, and air-gapped environments. This position spans cloud, Kubernetes and containers, enterprise access and security, the compute fabric that runs EDA tools in our on-premises deployment, and the AI/ML and data infrastructure - GPU clusters, data pipelines, and artifact delivery - behind our agents. You'll work on how the platform is built, secured, packaged, and shipped so it runs reliably everywhere our customers do. Key Responsibilities The role spans multiple technical areas including: Architecting and operating our internal multi-cloud infrastructure across GCP, AWS, and Azure - provisioning, networking, infrastructure, observability, reliability, and cost. Designing and delivering on-prem and private-cloud deployments - including air-gapped environments - packaged to drop cleanly into each customer's existing infrastructure. Owning the Kubernetes and container foundation: cluster architecture, Helm/packaging, autoscaling, multi-tenancy, and safe lifecycle and upgrades across every cloud and on-prem target. Building enterprise access and security end to end - RBAC and ReBAC authorization, SSO/identity integration, secrets management, and audit. Building the compute infrastructure that runs EDA tools under the our client's compute fabric - scheduling, isolation, and resource management for licensed EDA workloads that fit and federate into diverse customer environments. Standing up and scaling AI/ML infrastructure - GPU clusters and scheduling, distributed training, model serving and inference, and model/environment management. Building the data and artifact layer - data pipelines and storage, artifact and model repository management, and the release/"ship" pipeline that packages, signs, and distributes builds and models to cloud, on-prem, and air-gapped customers. Required Qualifications Deep experience operating production infrastructure on a major cloud (GCP, AWS, or Azure), with working knowledge of more than one. Expert-level Kubernetes and container skills (Docker/OCI, Helm) - cluster operations, workload isolation, and multi-tenancy. Proven track record delivering software into on-prem, private-cloud, or air-gapped customer environments. Strong grasp of authorization and enterprise security - RBAC/ReBAC, identity/SSO, secrets, and audit. Proficiency in a systems/automation language (Go, Node, Python, or Rust) and infrastructure-as-code (e.g., Terraform). CI/CD and artifact/release management experience - build pipelines, registries, signing, and distribution. Particularly Valuable Experience GPU cluster operations and ML infrastructure (Kubernetes device plugins or Slurm, distributed training, high-throughput inference serving). EDA / HPC / licensed-tool compute environments and schedulers (LSF, SGE, Slurm). Fine-grained / ReBAC authorization systems (Zanzibar-style, e.g., OpenFGA or SpiceDB). Data pipeline / data-platform work (orchestration, lineage) and distributing large model/artifact bundles to air-gapped sites. Building portable, packaged deployments - Helm charts, operators, offline install bundles - across heterogeneous customer infrastructure. Enterprise security & compliance (SOC 2, supply-chain/SBOM, artifact signing). Why Our Client You will have the opportunity to: Help define a new category of semiconductor design technology. Invent the agent-native algorithms and tools that will form the foundation of future automated design workflows. Develop GPU-accelerated algorithms that make previously impractical design and optimization workflows possible. Build AI systems that perform complex, consequential engineering work-not just generate recommendations. Work with real semiconductor workflows, tools, and private engineering knowledge. See your research deployed directly with leading chip-design organizations. Work in a small, highly technical team where individual contributions can shape the product and company. Collaborate with colleagues across San Jose, Austin, and Taiwan. Change how chips are designed, rather than focus on only one design or one point tool. Our client is an equal opportunity employer. We welcome candidates from diverse backgrounds who are excited to combine ambitious research with meaningful engineering impact.
11/12/2026
Full time
Job Description Job Description Infrastructure Engineer, AI for Chip Design Full-time On-site San Jose, CA Austin, TX or Taiwan About the Role Our client seeks an Infrastructure Engineer to design and operate the platform that runs our agentic design-automation systems - both on our own multi-cloud infrastructure and inside our customers' on-prem, private-cloud, and air-gapped environments. This position spans cloud, Kubernetes and containers, enterprise access and security, the compute fabric that runs EDA tools in our on-premises deployment, and the AI/ML and data infrastructure - GPU clusters, data pipelines, and artifact delivery - behind our agents. You'll work on how the platform is built, secured, packaged, and shipped so it runs reliably everywhere our customers do. Key Responsibilities The role spans multiple technical areas including: Architecting and operating our internal multi-cloud infrastructure across GCP, AWS, and Azure - provisioning, networking, infrastructure, observability, reliability, and cost. Designing and delivering on-prem and private-cloud deployments - including air-gapped environments - packaged to drop cleanly into each customer's existing infrastructure. Owning the Kubernetes and container foundation: cluster architecture, Helm/packaging, autoscaling, multi-tenancy, and safe lifecycle and upgrades across every cloud and on-prem target. Building enterprise access and security end to end - RBAC and ReBAC authorization, SSO/identity integration, secrets management, and audit. Building the compute infrastructure that runs EDA tools under the our client's compute fabric - scheduling, isolation, and resource management for licensed EDA workloads that fit and federate into diverse customer environments. Standing up and scaling AI/ML infrastructure - GPU clusters and scheduling, distributed training, model serving and inference, and model/environment management. Building the data and artifact layer - data pipelines and storage, artifact and model repository management, and the release/"ship" pipeline that packages, signs, and distributes builds and models to cloud, on-prem, and air-gapped customers. Required Qualifications Deep experience operating production infrastructure on a major cloud (GCP, AWS, or Azure), with working knowledge of more than one. Expert-level Kubernetes and container skills (Docker/OCI, Helm) - cluster operations, workload isolation, and multi-tenancy. Proven track record delivering software into on-prem, private-cloud, or air-gapped customer environments. Strong grasp of authorization and enterprise security - RBAC/ReBAC, identity/SSO, secrets, and audit. Proficiency in a systems/automation language (Go, Node, Python, or Rust) and infrastructure-as-code (e.g., Terraform). CI/CD and artifact/release management experience - build pipelines, registries, signing, and distribution. Particularly Valuable Experience GPU cluster operations and ML infrastructure (Kubernetes device plugins or Slurm, distributed training, high-throughput inference serving). EDA / HPC / licensed-tool compute environments and schedulers (LSF, SGE, Slurm). Fine-grained / ReBAC authorization systems (Zanzibar-style, e.g., OpenFGA or SpiceDB). Data pipeline / data-platform work (orchestration, lineage) and distributing large model/artifact bundles to air-gapped sites. Building portable, packaged deployments - Helm charts, operators, offline install bundles - across heterogeneous customer infrastructure. Enterprise security & compliance (SOC 2, supply-chain/SBOM, artifact signing). Why Our Client You will have the opportunity to: Help define a new category of semiconductor design technology. Invent the agent-native algorithms and tools that will form the foundation of future automated design workflows. Develop GPU-accelerated algorithms that make previously impractical design and optimization workflows possible. Build AI systems that perform complex, consequential engineering work-not just generate recommendations. Work with real semiconductor workflows, tools, and private engineering knowledge. See your research deployed directly with leading chip-design organizations. Work in a small, highly technical team where individual contributions can shape the product and company. Collaborate with colleagues across San Jose, Austin, and Taiwan. Change how chips are designed, rather than focus on only one design or one point tool. Our client is an equal opportunity employer. We welcome candidates from diverse backgrounds who are excited to combine ambitious research with meaningful engineering impact.
Job Description Job Description Job Description: Regular and predictable attendance is required Work statement is a non-managerial role, non-leadership role. Boeing Defense, Space and Security is seeking DSP Algorithms Engineers (Lead or Senior) to join the Space, Intelligence and Weapons Systems teams in El Segundo, CA! Boeing's Space, Intelligence and Weapons Systems oversees the company's major commercial and government satellite and ground programs for communications, national defense, and other missions. As a DSP Algorithms Engineer, you will design and develop state-of-the-art, space-based communication systems for commercial, civil and/or national security programs. You will actively drive a highly-motivated team that works with domestic or international customers on their latest satellite systems. Project assignments typically span the unit life cycle, from internal trades, concept studies and system definition, to satellite unit development and test. Candidates will belong to or lead a systems engineering team interacting with customers, suppliers, program management, integration and test engineers, and senior technologists. Position Responsibilities: Designing and developing next generation RF and digital satellite communication systems Developing and verifying multi-rate, fixed-point signal processing algorithms Conducting performance analysis of signal processing models Performing waveform development and characterization Performing trade studies Supporting integration and test of our payloads and spacecraft from unit level through in-orbit operations Supporting HDL-level design and verification Performing detailed system design and verification activities Leading teams Leading IR&D activities Required Skills: Bachelor of Science degree in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. Experience in Digital signal processing (DSP) / Digital Communications algorithms and techniques (equalization, turbo/viterbi coding/decoding, channel estimation, filter design, resampling theory, etc.)? 3+ years of experience with Matlab or Simulink. 5+ years of experience in core digital communications and signal processing theory 3+ years of experience in systems engineering (requirements definition, allocation, verification, architecture design and trade design). 1+ years of experience working with FPGAs or ASICs. Preferred Skills: Experience with lab equipment (oscilloscope, waveform generator, spectrum analyzer). Experience leading teams of engineers. 9 or more years' related work experience or an equivalent combination of technical education and experience. Education / Experience: Bachelor's and 9 or more years' experience, Master's with 7 or more years' experience or PhD with 4 or more years' experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. Position Comments: Do Not Submit The Same Candidates From 73028-1 Shifts: 1st Onsite/remote/hybrid: 100% onsite Interview Information: Phone screen, then 2nd interview via Teams, onsite for local candidates Are you okay with out-of-state candidates?: Yes, must relocate at own expense Duration: 12 months, possible extension
11/12/2026
Full time
Job Description Job Description Job Description: Regular and predictable attendance is required Work statement is a non-managerial role, non-leadership role. Boeing Defense, Space and Security is seeking DSP Algorithms Engineers (Lead or Senior) to join the Space, Intelligence and Weapons Systems teams in El Segundo, CA! Boeing's Space, Intelligence and Weapons Systems oversees the company's major commercial and government satellite and ground programs for communications, national defense, and other missions. As a DSP Algorithms Engineer, you will design and develop state-of-the-art, space-based communication systems for commercial, civil and/or national security programs. You will actively drive a highly-motivated team that works with domestic or international customers on their latest satellite systems. Project assignments typically span the unit life cycle, from internal trades, concept studies and system definition, to satellite unit development and test. Candidates will belong to or lead a systems engineering team interacting with customers, suppliers, program management, integration and test engineers, and senior technologists. Position Responsibilities: Designing and developing next generation RF and digital satellite communication systems Developing and verifying multi-rate, fixed-point signal processing algorithms Conducting performance analysis of signal processing models Performing waveform development and characterization Performing trade studies Supporting integration and test of our payloads and spacecraft from unit level through in-orbit operations Supporting HDL-level design and verification Performing detailed system design and verification activities Leading teams Leading IR&D activities Required Skills: Bachelor of Science degree in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. Experience in Digital signal processing (DSP) / Digital Communications algorithms and techniques (equalization, turbo/viterbi coding/decoding, channel estimation, filter design, resampling theory, etc.)? 3+ years of experience with Matlab or Simulink. 5+ years of experience in core digital communications and signal processing theory 3+ years of experience in systems engineering (requirements definition, allocation, verification, architecture design and trade design). 1+ years of experience working with FPGAs or ASICs. Preferred Skills: Experience with lab equipment (oscilloscope, waveform generator, spectrum analyzer). Experience leading teams of engineers. 9 or more years' related work experience or an equivalent combination of technical education and experience. Education / Experience: Bachelor's and 9 or more years' experience, Master's with 7 or more years' experience or PhD with 4 or more years' experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. Position Comments: Do Not Submit The Same Candidates From 73028-1 Shifts: 1st Onsite/remote/hybrid: 100% onsite Interview Information: Phone screen, then 2nd interview via Teams, onsite for local candidates Are you okay with out-of-state candidates?: Yes, must relocate at own expense Duration: 12 months, possible extension
Job Description Job Description Job Description: Network and Compute Engineer, AI Infrastructure Position Summary Network and Compute Engineer to design, deploy, validate, and operate high-performance infrastructure supporting enterprise artificial intelligence and accelerated-computing workloads. The engineer will work across compute, networking, operating systems, container orchestration, cluster management, storage integration, security, and observability. The successful candidate will be comfortable working hands-on with complex infrastructure, diagnosing issues across multiple technical layers, and translating platform requirements into reliable and repeatable operational solutions. The role is aligned to an NVIDIA AI Factory environment. The source material specifically covers NVIDIA Mission Control, Base Command Manager, Kubernetes installation, rack management, bare-metal management, observability, Run:ai, MGX architecture, Slurm, GB200 software and firmware, NVLink partitioning, XID troubleshooting, and telemetry. Key Responsibilities Compute and Cluster Engineering Deploy, configure, validate, and operate accelerated-compute clusters. Perform server and cluster bring-up, including operating-system imaging, boot validation, firmware alignment, hardware discovery, and post-deployment health checks. Support NVIDIA MGX-based infrastructure and understand the relationship between hardware architecture, firmware, operating systems, drivers, and the platform software stack. Install and administer Linux-based compute environments. Support Kubernetes installation, configuration, upgrades, and lifecycle operations. Deploy and administer Slurm-based workload environments. Assist with NVIDIA GB200 firmware updates, software-stack validation, sanity checks, and platform readiness testing. Support NVLink configuration and partitioning, where applicable. Troubleshoot GPU and system errors, including XID events, degraded nodes, boot failures, firmware inconsistencies, and workload-performance issues. Develop standardized, repeatable build and validation procedures for compute nodes and clusters. The PDF explicitly identifies MGX architecture and software stack, MGX sanity checks, image creation, Slurm deployment, ARM images and booting, GB200 firmware and software-stack validation, NVLink partitioning, XID troubleshooting, and telemetry as relevant subject areas. Network Engineering Design and support resilient network connectivity for accelerated-compute and AI cluster environments. Configure and troubleshoot high-speed Ethernet and, where applicable, InfiniBand fabrics. Support leaf-spine network architectures, network segmentation, routing, switching, addressing, name resolution, and time synchronization. Diagnose packet loss, latency, congestion, interface errors, cabling faults, routing issues, and workload connectivity failures. Validate host-to-host, node-to-storage, management-plane, and workload-plane connectivity. Support network configuration required for Kubernetes, cluster provisioning, telemetry, and distributed workloads. Work with security teams to implement network isolation, firewall rules, access controls, and secure administrative paths. Maintain accurate network diagrams, port maps, addressing plans, and configuration records. Hiring note: High-speed Ethernet, InfiniBand, leaf-spine topology, firewall design, and related network technologies are recommended market requirements for this type of position. They are not individually specified in the uploaded PDF. Platform Provisioning and Management Install, configure, and operate NVIDIA Base Command Manager. Support rack import, rack view, base view, node provisioning, and cluster lifecycle activities. Work with bare-metal management systems for server discovery, power operations, hardware health, firmware administration, and remote troubleshooting. Integrate cluster platforms with enterprise directory services. Support NVIDIA Mission Control processes and related AI Factory operational practices. Assist with the deployment and operation of Run:ai or equivalent workload-orchestration capabilities. Automate repetitive provisioning, validation, configuration, and reporting activities. The source material explicitly includes Base Command Manager bring-up, directory services, rack import, rack view, base view, bare-metal management, observability, and Run:ai installation. Monitoring, Reliability, and Operations Implement infrastructure monitoring for compute nodes, GPUs, network devices, interfaces, firmware, thermals, power, storage dependencies, and cluster services. Establish actionable dashboards, telemetry, alerts, and operational health checks. Lead technical diagnosis across hardware, firmware, Linux, Kubernetes, scheduler, network, and application layers. Perform root-cause analysis and document corrective and preventive actions. Develop operational runbooks for failure scenarios such as node loss, degraded network links, GPU errors, provisioning failures, and cluster-service disruption. Participate in incident response, problem management, capacity planning, lifecycle planning, and controlled change implementation. Identify automation and standardization opportunities that reduce manual effort, deployment defects, and recovery time. Work with infrastructure, cloud, security, storage, application, vendor, and service-management teams. Security and Compliance Responsibilities Apply least-privilege access to management, compute, network, and orchestration platforms. Integrate administrative access with approved enterprise identity and directory services. Secure management interfaces, service accounts, automation credentials, application programming interfaces, and remote-access pathways. Maintain separation between management, workload, storage, and out-of-band management networks. Support firmware, operating-system, container, Kubernetes, and network vulnerability remediation. Ensure administrative actions and infrastructure changes are traceable through logging and change records. Protect sensitive cluster configuration, credentials, certificates, logs, and telemetry. Follow secure configuration standards, change controls, and applicable customer or regulatory requirements. Hiring note: These security requirements are recommended additions for enterprise deployment. The PDF references directory services and hands-on operations, but it does not define a complete security or compliance control framework. Required Technical Skills Strong administration and troubleshooting experience with Linux. Strong knowledge of data-center networking, including Ethernet, Transmission Control Protocol/Internet Protocol, routing, switching, virtual local area networks, link aggregation, Domain Name System, Dynamic Host Configuration Protocol, and Network Time Protocol. Hands-on experience installing or operating Kubernetes clusters. Experience deploying and supporting physical compute infrastructure. Understanding of server boot processes, operating-system imaging, firmware, device drivers, hardware management, and remote management controllers. Experience diagnosing issues across server, operating-system, network, and application layers. Working knowledge of Python, Bash, Ansible, or equivalent infrastructure-automation technologies. Experience with monitoring, logging, metrics, dashboards, alerting, and telemetry. Ability to create clear architecture diagrams, build documents, operating procedures, and troubleshooting runbooks. Strong analytical skills and the ability to work effectively during complex infrastructure incidents. Preferred Technical Skills Experience with NVIDIA AI infrastructure, NVIDIA Mission Control, or NVIDIA Base Command Manager. Experience with NVIDIA MGX or GB200-based systems. Experience with Slurm and distributed-compute scheduling. Experience with Run:ai. Experience with InfiniBand, Remote Direct Memory Access, or Remote Direct Memory Access over Converged Ethernet. Knowledge of NVLink and multi-GPU communication. Experience interpreting NVIDIA XID errors and GPU telemetry. Experience with bare-metal provisioning and Redfish-compatible management interfaces. Experience with Prometheus, Grafana, OpenTelemetry, or equivalent observability platforms. Exposure to container runtimes, container registries, Kubernetes networking, and graphics-processing-unit operators. Experience supporting production AI, machine-learning, high-performance-computing, or large-scale data platforms. Qualifications Bachelor s degree in computer science, information technology, electronics, telecommunications, or a related field, or equivalent practical experience. Recommended 7 or more years of experience in infrastructure, compute, network, data-center, cloud-platform, or high-performance-computing engineering. Recommended 3 or more years of hands-on experience with Linux-based cluster platforms, Kubernetes, accelerated computing, or comparable large-scale infrastructure. Demonstrated experience owning complex technical problems from initial diagnosis through resolution and prevention. Hiring note: . click apply for full job details
11/12/2026
Full time
Job Description Job Description Job Description: Network and Compute Engineer, AI Infrastructure Position Summary Network and Compute Engineer to design, deploy, validate, and operate high-performance infrastructure supporting enterprise artificial intelligence and accelerated-computing workloads. The engineer will work across compute, networking, operating systems, container orchestration, cluster management, storage integration, security, and observability. The successful candidate will be comfortable working hands-on with complex infrastructure, diagnosing issues across multiple technical layers, and translating platform requirements into reliable and repeatable operational solutions. The role is aligned to an NVIDIA AI Factory environment. The source material specifically covers NVIDIA Mission Control, Base Command Manager, Kubernetes installation, rack management, bare-metal management, observability, Run:ai, MGX architecture, Slurm, GB200 software and firmware, NVLink partitioning, XID troubleshooting, and telemetry. Key Responsibilities Compute and Cluster Engineering Deploy, configure, validate, and operate accelerated-compute clusters. Perform server and cluster bring-up, including operating-system imaging, boot validation, firmware alignment, hardware discovery, and post-deployment health checks. Support NVIDIA MGX-based infrastructure and understand the relationship between hardware architecture, firmware, operating systems, drivers, and the platform software stack. Install and administer Linux-based compute environments. Support Kubernetes installation, configuration, upgrades, and lifecycle operations. Deploy and administer Slurm-based workload environments. Assist with NVIDIA GB200 firmware updates, software-stack validation, sanity checks, and platform readiness testing. Support NVLink configuration and partitioning, where applicable. Troubleshoot GPU and system errors, including XID events, degraded nodes, boot failures, firmware inconsistencies, and workload-performance issues. Develop standardized, repeatable build and validation procedures for compute nodes and clusters. The PDF explicitly identifies MGX architecture and software stack, MGX sanity checks, image creation, Slurm deployment, ARM images and booting, GB200 firmware and software-stack validation, NVLink partitioning, XID troubleshooting, and telemetry as relevant subject areas. Network Engineering Design and support resilient network connectivity for accelerated-compute and AI cluster environments. Configure and troubleshoot high-speed Ethernet and, where applicable, InfiniBand fabrics. Support leaf-spine network architectures, network segmentation, routing, switching, addressing, name resolution, and time synchronization. Diagnose packet loss, latency, congestion, interface errors, cabling faults, routing issues, and workload connectivity failures. Validate host-to-host, node-to-storage, management-plane, and workload-plane connectivity. Support network configuration required for Kubernetes, cluster provisioning, telemetry, and distributed workloads. Work with security teams to implement network isolation, firewall rules, access controls, and secure administrative paths. Maintain accurate network diagrams, port maps, addressing plans, and configuration records. Hiring note: High-speed Ethernet, InfiniBand, leaf-spine topology, firewall design, and related network technologies are recommended market requirements for this type of position. They are not individually specified in the uploaded PDF. Platform Provisioning and Management Install, configure, and operate NVIDIA Base Command Manager. Support rack import, rack view, base view, node provisioning, and cluster lifecycle activities. Work with bare-metal management systems for server discovery, power operations, hardware health, firmware administration, and remote troubleshooting. Integrate cluster platforms with enterprise directory services. Support NVIDIA Mission Control processes and related AI Factory operational practices. Assist with the deployment and operation of Run:ai or equivalent workload-orchestration capabilities. Automate repetitive provisioning, validation, configuration, and reporting activities. The source material explicitly includes Base Command Manager bring-up, directory services, rack import, rack view, base view, bare-metal management, observability, and Run:ai installation. Monitoring, Reliability, and Operations Implement infrastructure monitoring for compute nodes, GPUs, network devices, interfaces, firmware, thermals, power, storage dependencies, and cluster services. Establish actionable dashboards, telemetry, alerts, and operational health checks. Lead technical diagnosis across hardware, firmware, Linux, Kubernetes, scheduler, network, and application layers. Perform root-cause analysis and document corrective and preventive actions. Develop operational runbooks for failure scenarios such as node loss, degraded network links, GPU errors, provisioning failures, and cluster-service disruption. Participate in incident response, problem management, capacity planning, lifecycle planning, and controlled change implementation. Identify automation and standardization opportunities that reduce manual effort, deployment defects, and recovery time. Work with infrastructure, cloud, security, storage, application, vendor, and service-management teams. Security and Compliance Responsibilities Apply least-privilege access to management, compute, network, and orchestration platforms. Integrate administrative access with approved enterprise identity and directory services. Secure management interfaces, service accounts, automation credentials, application programming interfaces, and remote-access pathways. Maintain separation between management, workload, storage, and out-of-band management networks. Support firmware, operating-system, container, Kubernetes, and network vulnerability remediation. Ensure administrative actions and infrastructure changes are traceable through logging and change records. Protect sensitive cluster configuration, credentials, certificates, logs, and telemetry. Follow secure configuration standards, change controls, and applicable customer or regulatory requirements. Hiring note: These security requirements are recommended additions for enterprise deployment. The PDF references directory services and hands-on operations, but it does not define a complete security or compliance control framework. Required Technical Skills Strong administration and troubleshooting experience with Linux. Strong knowledge of data-center networking, including Ethernet, Transmission Control Protocol/Internet Protocol, routing, switching, virtual local area networks, link aggregation, Domain Name System, Dynamic Host Configuration Protocol, and Network Time Protocol. Hands-on experience installing or operating Kubernetes clusters. Experience deploying and supporting physical compute infrastructure. Understanding of server boot processes, operating-system imaging, firmware, device drivers, hardware management, and remote management controllers. Experience diagnosing issues across server, operating-system, network, and application layers. Working knowledge of Python, Bash, Ansible, or equivalent infrastructure-automation technologies. Experience with monitoring, logging, metrics, dashboards, alerting, and telemetry. Ability to create clear architecture diagrams, build documents, operating procedures, and troubleshooting runbooks. Strong analytical skills and the ability to work effectively during complex infrastructure incidents. Preferred Technical Skills Experience with NVIDIA AI infrastructure, NVIDIA Mission Control, or NVIDIA Base Command Manager. Experience with NVIDIA MGX or GB200-based systems. Experience with Slurm and distributed-compute scheduling. Experience with Run:ai. Experience with InfiniBand, Remote Direct Memory Access, or Remote Direct Memory Access over Converged Ethernet. Knowledge of NVLink and multi-GPU communication. Experience interpreting NVIDIA XID errors and GPU telemetry. Experience with bare-metal provisioning and Redfish-compatible management interfaces. Experience with Prometheus, Grafana, OpenTelemetry, or equivalent observability platforms. Exposure to container runtimes, container registries, Kubernetes networking, and graphics-processing-unit operators. Experience supporting production AI, machine-learning, high-performance-computing, or large-scale data platforms. Qualifications Bachelor s degree in computer science, information technology, electronics, telecommunications, or a related field, or equivalent practical experience. Recommended 7 or more years of experience in infrastructure, compute, network, data-center, cloud-platform, or high-performance-computing engineering. Recommended 3 or more years of hands-on experience with Linux-based cluster platforms, Kubernetes, accelerated computing, or comparable large-scale infrastructure. Demonstrated experience owning complex technical problems from initial diagnosis through resolution and prevention. Hiring note: . click apply for full job details
Job Description Job Description Pay Range: $60-70/hr Are we looking for local or non-local candidates? Local required. Work Location & Schedule: Hybrid; onsite 3-4 days per week. Local candidates required. Tell us about your department: The Productivity Tools team is responsible for engineering, governance, administration, and support of enterprise productivity and collaboration capabilities across the Microsoft 365 ecosystem. The team delivers secure, scalable, and supportable solutions using Microsoft Teams, SharePoint Online, OneDrive, Power Platform, Microsoft Graph, and related cloud services to improve communication, collaboration, automation, and employee productivity. Project Description: This position is designed as an Engineer III staff augmentation role to expand the engineering capabilities of the Productivity Tools team. We are seeking an individual who can quickly become a trusted technical contributor and contribute across multiple Microsoft 365 workloads, with a primary focus on Power Platform engineering, enterprise governance, solution architecture, and automation. The ideal candidate will have deep, hands-on experience designing, building, governing, and supporting business solutions using Power Apps, Power Automate, Dataverse, SharePoint Online, and Microsoft 365 services. This person should be comfortable partnering directly with business stakeholders, troubleshooting complex platform issues, developing governance strategies, and delivering enterprise-scale solutions that balance business agility, security, compliance, and operational excellence. We are looking for a self-directed engineer who can operate with appropriate guidance, contribute to technical direction, improve platform maturity, and remain hands-on in solution delivery and operational support. Position Summary / Job Description: • Enterprise Solution Architecture: Design and implement enterprise business solutions using Power Apps, Power Automate, Dataverse, SharePoint Online, Microsoft Teams, and related Microsoft 365 services. Translate business requirements into secure, scalable, maintainable, and supportable technical designs. • Power Apps Engineering: Design, build, enhance, and support Canvas and Model-Driven applications. Apply sound user experience, security, data, performance, accessibility, and maintainability practices. • Power Automate Engineering: Develop and maintain complex cloud flows and business process automations. Troubleshoot failures involving connectors, authentication, permissions, expressions, concurrency, data dependencies, service limits, and downstream integrations. • Dataverse & Data Architecture: Design Dataverse tables, relationships, security roles, business rules, and solution components. Select appropriate data sources and integration patterns based on business, security, licensing, supportability, and scale requirements. • Power Platform Governance & Strategy: Define and implement enterprise standards for environment strategy, Data Loss Prevention policies, connector governance, Managed Environments, tenant settings, capacity, licensing, ownership, inventory, lifecycle, and risk management. • Application Lifecycle Management: Establish and improve development, test, and production practices using solutions, environment variables, connection references, source control, deployment pipelines, and release controls. Support CI/CD through Azure DevOps or GitHub where appropriate. • SharePoint Online Engineering: Design, administer, and support SharePoint Online solutions, including site architecture, information architecture, metadata, permissions, external sharing, search, lifecycle management, and content governance. Integrate SharePoint with Power Platform and other Microsoft 365 services. • Automation & Integration: Build integrations and administrative automation using Microsoft Graph, SharePoint REST APIs, PowerShell, PnP PowerShell, custom connectors, Azure Automation, and related Azure services. • Security, Compliance & Risk: Partner with security, privacy, compliance, and architecture teams to apply least-privilege access, data protection, auditability, retention, and enterprise control requirements to platform and solution designs. • Troubleshooting & Escalations: Serve as a technical escalation resource for Power Platform, SharePoint Online, and cross-service Microsoft 365 issues. Perform root cause analysis, document corrective actions, and coordinate with Microsoft or other vendors as needed. • Operational Excellence: Improve monitoring, alerting, support readiness, service health, capacity management, incident response, change management, and problem management. Create durable operational processes rather than one-time fixes. • Technical Leadership & Enablement: Contribute to engineering standards and reusable patterns, participate in design reviews, mentor makers and peers where appropriate, create technical documentation and runbooks, and support product roadmaps and platform strategy. • Business Partnership: Work with business and technology stakeholders to evaluate opportunities, clarify requirements, explain tradeoffs, provide estimates and recommendations, and deliver measurable business outcomes. Skills Overview: Top Five Required Skills & Experience: • 5+ years of experience engineering Microsoft enterprise technologies, including responsibility for Microsoft 365, Power Platform, SharePoint Online, or closely related cloud services. • 3+ years of hands-on experience designing, building, troubleshooting, and supporting production Power Apps and Power Automate solutions, including integrations and enterprise operational support. • Demonstrated experience designing and implementing Power Platform governance, including environment strategy, Data Loss Prevention policies, connector controls, security, lifecycle management, ownership, inventory, capacity, and licensing considerations. • Advanced experience integrating and automating Microsoft 365 services using Microsoft Graph, REST APIs, PowerShell, PnP PowerShell, custom connectors, Azure Automation, or comparable technologies. • Proven ability to contribute to complex technical initiatives, participate in architecture and design reviews, troubleshoot cross-platform issues, communicate technical tradeoffs, and partner with business stakeholders to deliver supportable enterprise solutions. Additional Required Capabilities: • Strong SharePoint Online engineering background, including modern site architecture, information architecture, permissions, external sharing, search, governance, and Power Platform integration. • Strong understanding of Dataverse architecture, role-based security, solution components, and data integration patterns. • Experience with Power Platform application lifecycle management, including solutions, environment variables, connection references, deployment pipelines, and controlled releases across environments. • Experience applying enterprise security, privacy, compliance, accessibility, and least-privilege principles to technical solutions. • Strong written and verbal communication skills, with the ability to explain complex technical topics to engineering teams, business partners, and leadership audiences. • Experience with ITSM practices such as incident, change, and problem management, including root cause analysis and production support ownership. Preferred / Nice-to-Have: • Microsoft Power Platform Solution Architect Expert, Power Platform Developer Associate, or related Microsoft certification. • Experience with Copilot Studio, AI Builder, agents, or other AI-enabled business solutions and associated governance considerations. • Experience operating a Power Platform Center of Excellence or comparable enterprise governance and enablement program. • Experience with Azure Functions, Logic Apps, Key Vault, App Registrations, managed identities, and secure API integration patterns. • Experience implementing CI/CD with Azure DevOps or GitHub and applying source control, testing, code review, and release management practices. • Experience supporting a large, highly regulated enterprise with complex security, compliance, licensing, and stakeholder requirements. • Experience modernizing legacy SharePoint, InfoPath, SharePoint Designer workflow, or custom line-of-business solutions. • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. What success looks like in 90-180 days: • Completes an assessment of the current Power Platform and SharePoint landscape, identifies material governance and operational gaps, and provides a prioritized improvement plan. • Becomes a trusted escalation resource for complex Power Apps, Power Automate, SharePoint Online, and Microsoft 365 integration issues. • Improves platform reliability and supportability through monitoring, automation, documentation, root cause remediation, and repeatable operational practices. • Establishes or strengthens standards for solution architecture, application lifecycle management, environment usage, data protection, ownership, deployment, and production support. • Delivers or materially advances enterprise solutions using Power Apps and Power Automate while demonstrating secure, maintainable, and scalable engineering practices. • Creates reusable patterns, runbooks, design guidance, and technical documentation that raise the engineering maturity of the broader team. • Provides clear technical recommendations that influence platform roadmap, governance, and investment decisions. Ideal Profile: . click apply for full job details
11/12/2026
Full time
Job Description Job Description Pay Range: $60-70/hr Are we looking for local or non-local candidates? Local required. Work Location & Schedule: Hybrid; onsite 3-4 days per week. Local candidates required. Tell us about your department: The Productivity Tools team is responsible for engineering, governance, administration, and support of enterprise productivity and collaboration capabilities across the Microsoft 365 ecosystem. The team delivers secure, scalable, and supportable solutions using Microsoft Teams, SharePoint Online, OneDrive, Power Platform, Microsoft Graph, and related cloud services to improve communication, collaboration, automation, and employee productivity. Project Description: This position is designed as an Engineer III staff augmentation role to expand the engineering capabilities of the Productivity Tools team. We are seeking an individual who can quickly become a trusted technical contributor and contribute across multiple Microsoft 365 workloads, with a primary focus on Power Platform engineering, enterprise governance, solution architecture, and automation. The ideal candidate will have deep, hands-on experience designing, building, governing, and supporting business solutions using Power Apps, Power Automate, Dataverse, SharePoint Online, and Microsoft 365 services. This person should be comfortable partnering directly with business stakeholders, troubleshooting complex platform issues, developing governance strategies, and delivering enterprise-scale solutions that balance business agility, security, compliance, and operational excellence. We are looking for a self-directed engineer who can operate with appropriate guidance, contribute to technical direction, improve platform maturity, and remain hands-on in solution delivery and operational support. Position Summary / Job Description: • Enterprise Solution Architecture: Design and implement enterprise business solutions using Power Apps, Power Automate, Dataverse, SharePoint Online, Microsoft Teams, and related Microsoft 365 services. Translate business requirements into secure, scalable, maintainable, and supportable technical designs. • Power Apps Engineering: Design, build, enhance, and support Canvas and Model-Driven applications. Apply sound user experience, security, data, performance, accessibility, and maintainability practices. • Power Automate Engineering: Develop and maintain complex cloud flows and business process automations. Troubleshoot failures involving connectors, authentication, permissions, expressions, concurrency, data dependencies, service limits, and downstream integrations. • Dataverse & Data Architecture: Design Dataverse tables, relationships, security roles, business rules, and solution components. Select appropriate data sources and integration patterns based on business, security, licensing, supportability, and scale requirements. • Power Platform Governance & Strategy: Define and implement enterprise standards for environment strategy, Data Loss Prevention policies, connector governance, Managed Environments, tenant settings, capacity, licensing, ownership, inventory, lifecycle, and risk management. • Application Lifecycle Management: Establish and improve development, test, and production practices using solutions, environment variables, connection references, source control, deployment pipelines, and release controls. Support CI/CD through Azure DevOps or GitHub where appropriate. • SharePoint Online Engineering: Design, administer, and support SharePoint Online solutions, including site architecture, information architecture, metadata, permissions, external sharing, search, lifecycle management, and content governance. Integrate SharePoint with Power Platform and other Microsoft 365 services. • Automation & Integration: Build integrations and administrative automation using Microsoft Graph, SharePoint REST APIs, PowerShell, PnP PowerShell, custom connectors, Azure Automation, and related Azure services. • Security, Compliance & Risk: Partner with security, privacy, compliance, and architecture teams to apply least-privilege access, data protection, auditability, retention, and enterprise control requirements to platform and solution designs. • Troubleshooting & Escalations: Serve as a technical escalation resource for Power Platform, SharePoint Online, and cross-service Microsoft 365 issues. Perform root cause analysis, document corrective actions, and coordinate with Microsoft or other vendors as needed. • Operational Excellence: Improve monitoring, alerting, support readiness, service health, capacity management, incident response, change management, and problem management. Create durable operational processes rather than one-time fixes. • Technical Leadership & Enablement: Contribute to engineering standards and reusable patterns, participate in design reviews, mentor makers and peers where appropriate, create technical documentation and runbooks, and support product roadmaps and platform strategy. • Business Partnership: Work with business and technology stakeholders to evaluate opportunities, clarify requirements, explain tradeoffs, provide estimates and recommendations, and deliver measurable business outcomes. Skills Overview: Top Five Required Skills & Experience: • 5+ years of experience engineering Microsoft enterprise technologies, including responsibility for Microsoft 365, Power Platform, SharePoint Online, or closely related cloud services. • 3+ years of hands-on experience designing, building, troubleshooting, and supporting production Power Apps and Power Automate solutions, including integrations and enterprise operational support. • Demonstrated experience designing and implementing Power Platform governance, including environment strategy, Data Loss Prevention policies, connector controls, security, lifecycle management, ownership, inventory, capacity, and licensing considerations. • Advanced experience integrating and automating Microsoft 365 services using Microsoft Graph, REST APIs, PowerShell, PnP PowerShell, custom connectors, Azure Automation, or comparable technologies. • Proven ability to contribute to complex technical initiatives, participate in architecture and design reviews, troubleshoot cross-platform issues, communicate technical tradeoffs, and partner with business stakeholders to deliver supportable enterprise solutions. Additional Required Capabilities: • Strong SharePoint Online engineering background, including modern site architecture, information architecture, permissions, external sharing, search, governance, and Power Platform integration. • Strong understanding of Dataverse architecture, role-based security, solution components, and data integration patterns. • Experience with Power Platform application lifecycle management, including solutions, environment variables, connection references, deployment pipelines, and controlled releases across environments. • Experience applying enterprise security, privacy, compliance, accessibility, and least-privilege principles to technical solutions. • Strong written and verbal communication skills, with the ability to explain complex technical topics to engineering teams, business partners, and leadership audiences. • Experience with ITSM practices such as incident, change, and problem management, including root cause analysis and production support ownership. Preferred / Nice-to-Have: • Microsoft Power Platform Solution Architect Expert, Power Platform Developer Associate, or related Microsoft certification. • Experience with Copilot Studio, AI Builder, agents, or other AI-enabled business solutions and associated governance considerations. • Experience operating a Power Platform Center of Excellence or comparable enterprise governance and enablement program. • Experience with Azure Functions, Logic Apps, Key Vault, App Registrations, managed identities, and secure API integration patterns. • Experience implementing CI/CD with Azure DevOps or GitHub and applying source control, testing, code review, and release management practices. • Experience supporting a large, highly regulated enterprise with complex security, compliance, licensing, and stakeholder requirements. • Experience modernizing legacy SharePoint, InfoPath, SharePoint Designer workflow, or custom line-of-business solutions. • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. What success looks like in 90-180 days: • Completes an assessment of the current Power Platform and SharePoint landscape, identifies material governance and operational gaps, and provides a prioritized improvement plan. • Becomes a trusted escalation resource for complex Power Apps, Power Automate, SharePoint Online, and Microsoft 365 integration issues. • Improves platform reliability and supportability through monitoring, automation, documentation, root cause remediation, and repeatable operational practices. • Establishes or strengthens standards for solution architecture, application lifecycle management, environment usage, data protection, ownership, deployment, and production support. • Delivers or materially advances enterprise solutions using Power Apps and Power Automate while demonstrating secure, maintainable, and scalable engineering practices. • Creates reusable patterns, runbooks, design guidance, and technical documentation that raise the engineering maturity of the broader team. • Provides clear technical recommendations that influence platform roadmap, governance, and investment decisions. Ideal Profile: . click apply for full job details
Job Description Job Description Applies systems analysis and design techniques to complex computer systems in a broad area such as financial management; engineering, or accounting, logistics planning and material management; core IT/IM support service, etc. Produces innovative solutions for a variety of complex problems. Maintains and modifies complex systems or develops new subsystems such as an integrated production scheduling, inventory control, or cost analysis in which every item of each type is automatically processed through the full system of records. Guides users in formulating requirements; advises on alternatives and on the implications of new or revised data processing systems; analyzes resulting user project proposals, identifies omissions and errors in requirements and conducts feasibility studies; recommends optimum approach and develops system design for approved projects. Interprets information and informally arbitrates between system users when conflicts exist. May serve as lead analyst in a design subgroup, directing and integrating the work of lower-level analysts responsible for several programs. Employ technical writing skills to author after action reports, Risk Management Framework control assessments, course of action analysis, and other technical assessments. 5 years' relevant experience in the following: Knowledge of Technical assessments to ensure compliance with policies and reviews and required evaluations to ensure compliance with Financial Information Systems Management Act (FISMA) policies. Experience with Technical Interchange Meetings (TIMs), Technical Exchange Meetings (TEMs) on a wide range of PMO engineering topics. Experience conducting Program Engineering Milestone Reviews, e.g., System Requirements Review, Design Reviews, Test Readiness Reviews, Operational Readiness Reviews and Incident Report Working Groups Able to conduct Technical Reviews of development Contractor-produced deliverables Ability to create, review, and maintain PMO program architecture artifacts in DODAF or Government approved format and analyze system architectures to recommended enhancements to improve system performance; assess acquisition solutions for conformity, fit options, and purpose to the assigned program's targeted architectural solution(s) Knowledge of sustainment/deployment/implementation approaches and ability to assess and recommended improvements to system availability and user experience Understanding of hardware and/or software (COTS/GOTS) to meet system specifications using recognized estimating approaches to support government cost estimates Possesses skills to ensure all technical approaches/recommendations are in harmony with USTRANSCOM Enterprise System Engineering and Architecture strategies and vision Experienced in risk identification, analysis, mitigation and reporting. Able to offer options to manage or reduce risk. Able to interface with IT engineers to resolve program specific data quality issues as they occur. Knowledge of Agile methodologies, framework (Scaled, Scrum and Kanban), and tools (Jira, Confluence) Able to understand DevSecOps framework as it integrates security into all phases of the Software Development Lifecycle (SDLC) Knowledge of Risk Management Framework (RMF) processes and implementation Familiarity with Amazon Web Services (AWS) Console and Services to include S3, RDS, CloudWatch, EC2, and ECR Familiarity with Cloud Tools such as Artifactory and GitLab Knowledge of Nessus/ACAS Scan Reports Education/Certifications: Active Secret Clearance Bachelor's in Engineering or Computer Science or equivalent IAWIP Certification: IAM I/IAT II Agile Certifications (Scaled, Scrum or Kanban) preferred but not required AWS Certifications (Certified Cloud Practitioner) preferred but not required Basic Splunk Query Experience preferred but not required Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").
11/12/2026
Full time
Job Description Job Description Applies systems analysis and design techniques to complex computer systems in a broad area such as financial management; engineering, or accounting, logistics planning and material management; core IT/IM support service, etc. Produces innovative solutions for a variety of complex problems. Maintains and modifies complex systems or develops new subsystems such as an integrated production scheduling, inventory control, or cost analysis in which every item of each type is automatically processed through the full system of records. Guides users in formulating requirements; advises on alternatives and on the implications of new or revised data processing systems; analyzes resulting user project proposals, identifies omissions and errors in requirements and conducts feasibility studies; recommends optimum approach and develops system design for approved projects. Interprets information and informally arbitrates between system users when conflicts exist. May serve as lead analyst in a design subgroup, directing and integrating the work of lower-level analysts responsible for several programs. Employ technical writing skills to author after action reports, Risk Management Framework control assessments, course of action analysis, and other technical assessments. 5 years' relevant experience in the following: Knowledge of Technical assessments to ensure compliance with policies and reviews and required evaluations to ensure compliance with Financial Information Systems Management Act (FISMA) policies. Experience with Technical Interchange Meetings (TIMs), Technical Exchange Meetings (TEMs) on a wide range of PMO engineering topics. Experience conducting Program Engineering Milestone Reviews, e.g., System Requirements Review, Design Reviews, Test Readiness Reviews, Operational Readiness Reviews and Incident Report Working Groups Able to conduct Technical Reviews of development Contractor-produced deliverables Ability to create, review, and maintain PMO program architecture artifacts in DODAF or Government approved format and analyze system architectures to recommended enhancements to improve system performance; assess acquisition solutions for conformity, fit options, and purpose to the assigned program's targeted architectural solution(s) Knowledge of sustainment/deployment/implementation approaches and ability to assess and recommended improvements to system availability and user experience Understanding of hardware and/or software (COTS/GOTS) to meet system specifications using recognized estimating approaches to support government cost estimates Possesses skills to ensure all technical approaches/recommendations are in harmony with USTRANSCOM Enterprise System Engineering and Architecture strategies and vision Experienced in risk identification, analysis, mitigation and reporting. Able to offer options to manage or reduce risk. Able to interface with IT engineers to resolve program specific data quality issues as they occur. Knowledge of Agile methodologies, framework (Scaled, Scrum and Kanban), and tools (Jira, Confluence) Able to understand DevSecOps framework as it integrates security into all phases of the Software Development Lifecycle (SDLC) Knowledge of Risk Management Framework (RMF) processes and implementation Familiarity with Amazon Web Services (AWS) Console and Services to include S3, RDS, CloudWatch, EC2, and ECR Familiarity with Cloud Tools such as Artifactory and GitLab Knowledge of Nessus/ACAS Scan Reports Education/Certifications: Active Secret Clearance Bachelor's in Engineering or Computer Science or equivalent IAWIP Certification: IAM I/IAT II Agile Certifications (Scaled, Scrum or Kanban) preferred but not required AWS Certifications (Certified Cloud Practitioner) preferred but not required Basic Splunk Query Experience preferred but not required Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").
Job Description Job Description Founding Full Stack Engineer Location: Brooklyn, NY (Hybrid - Strong preference for working onsite most of the week) Experience: 2-5 Years Employment Type: Full-time About the Role We're seeking a Founding Full Stack Engineer to help build and scale an AI-powered SaaS platform that automates complex business workflows for enterprise customers. This is an opportunity to join an early-stage startup as one of the first engineering hires, taking ownership of the product from concept to production. You'll work directly with leadership, solve real customer problems, and build mission-critical software that integrates with external business systems. Key Responsibilities Own customer-facing features from ideation through production deployment. Design and develop scalable backend services and APIs. Build secure, auditable data models and event-driven workflows. Develop real-time dashboards and customer-facing applications. Build and maintain integrations with third-party platforms, ERP systems, logistics providers, and external business applications. Design resilient synchronization systems to keep multiple platforms in sync. Improve platform reliability through monitoring, observability, alerting, and operational best practices. Work across the full technology stack, including backend, frontend, APIs, and data engineering. Collaborate directly with customers to understand business workflows and translate requirements into software solutions. Required Qualifications Technical Skills 2-5 years of professional software engineering experience. Strong experience with TypeScript and Node.js . Solid experience designing applications with PostgreSQL . Full Stack development experience using React . Experience building REST APIs and backend services. Familiarity with: Event-driven architectures Webhooks Asynchronous processing Third-party system integrations Ownership & Execution Ability to independently take projects from concept to production. Comfortable working with minimal direction in a fast-paced startup environment. Strong problem-solving skills with a focus on delivering practical solutions. Passion for building highly reliable, production-grade software. Willingness to take ownership and support critical production systems when needed. Communication Excellent written and verbal communication skills. Comfortable working directly with both technical and non-technical stakeholders. Collaborative mindset with a low-ego, team-first attitude. Preferred Qualifications Experience as an early engineering hire or founding engineer at a startup. Background in B2B SaaS or industries such as logistics, supply chain, freight, or consumer products. Experience with EDI platforms (e.g., SPS Commerce, TrueCommerce, or similar). Experience working at logistics or supply chain technology companies. Familiarity with modern technologies such as: Next.js Supabase AI Agents Large Language Models (LLMs) Agentic AI workflows Benefits Competitive base salary Equity opportunity Health insurance High-impact role with significant ownership and career growth Work Environment Hybrid role based in Brooklyn, NY . Strong preference for candidates who can work onsite most of the week. Fast-paced startup environment with high ownership and close collaboration across the team.
11/12/2026
Full time
Job Description Job Description Founding Full Stack Engineer Location: Brooklyn, NY (Hybrid - Strong preference for working onsite most of the week) Experience: 2-5 Years Employment Type: Full-time About the Role We're seeking a Founding Full Stack Engineer to help build and scale an AI-powered SaaS platform that automates complex business workflows for enterprise customers. This is an opportunity to join an early-stage startup as one of the first engineering hires, taking ownership of the product from concept to production. You'll work directly with leadership, solve real customer problems, and build mission-critical software that integrates with external business systems. Key Responsibilities Own customer-facing features from ideation through production deployment. Design and develop scalable backend services and APIs. Build secure, auditable data models and event-driven workflows. Develop real-time dashboards and customer-facing applications. Build and maintain integrations with third-party platforms, ERP systems, logistics providers, and external business applications. Design resilient synchronization systems to keep multiple platforms in sync. Improve platform reliability through monitoring, observability, alerting, and operational best practices. Work across the full technology stack, including backend, frontend, APIs, and data engineering. Collaborate directly with customers to understand business workflows and translate requirements into software solutions. Required Qualifications Technical Skills 2-5 years of professional software engineering experience. Strong experience with TypeScript and Node.js . Solid experience designing applications with PostgreSQL . Full Stack development experience using React . Experience building REST APIs and backend services. Familiarity with: Event-driven architectures Webhooks Asynchronous processing Third-party system integrations Ownership & Execution Ability to independently take projects from concept to production. Comfortable working with minimal direction in a fast-paced startup environment. Strong problem-solving skills with a focus on delivering practical solutions. Passion for building highly reliable, production-grade software. Willingness to take ownership and support critical production systems when needed. Communication Excellent written and verbal communication skills. Comfortable working directly with both technical and non-technical stakeholders. Collaborative mindset with a low-ego, team-first attitude. Preferred Qualifications Experience as an early engineering hire or founding engineer at a startup. Background in B2B SaaS or industries such as logistics, supply chain, freight, or consumer products. Experience with EDI platforms (e.g., SPS Commerce, TrueCommerce, or similar). Experience working at logistics or supply chain technology companies. Familiarity with modern technologies such as: Next.js Supabase AI Agents Large Language Models (LLMs) Agentic AI workflows Benefits Competitive base salary Equity opportunity Health insurance High-impact role with significant ownership and career growth Work Environment Hybrid role based in Brooklyn, NY . Strong preference for candidates who can work onsite most of the week. Fast-paced startup environment with high ownership and close collaboration across the team.
Job Description Job Description Role: AI Architect Location: Atlanta, GA / Onsite Duration: 6 months Pay Rate: $55 - $60 per hour(C2C) Experience Required: 12 Years Position Overview We are seeking an experienced AI Architect to lead the architecture, governance, and strategic implementation of an AI-enabled Quality Engineering Center of Excellence. The candidate will define the target architecture for AI agents, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and enterprise AI adEligible to workion across the software development lifecycle. This is a customer-facing onsite role requiring strong AI architecture, engineering, governance, and stakeholder-management capabilities. Key Responsibilities AI Architecture Leadership: Define the enterprise architecture, reference patterns, and technology roadmap for AI-powered Quality Engineering solutions. Agentic AI and RAG: Design reusable AI-agent patterns and a RAG Knowledge Fabric integrating Jira, Confluence, Git repositories, CI/CD platforms, test assets, ServiceNow, and approved enterprise data sources. Orchestration and Integration: Design multi-agent orchestration and integration services supporting requirements review, code quality, test preparation, test execution, QE intelligence, and release assurance. Governance and Responsible AI: Establish Human-in-the-Loop controls, security guardrails, explainability, confidence scoring, model evaluation, observability, auditability, and cost controls. Stakeholder and Technical Leadership: Lead architecture reviews, prioritize high-value use cases, guide onsite and offshore teams, and communicate solution decisions to business and engineering leadership. Scale and AdEligible to workion: Define the maturity path from supervised to semi-autonomous and autonomous agents while ensuring scalability, reliability, performance, and adEligible to workion. Required Qualifications " 12 years of technology experience, including 5 years in AI/ML, Generative AI, or intelligent automation. " Strong experience with LLM applications, Agentic AI, multi-agent systems, RAG, embeddings, vector search, prompt engineering, and AI evaluation. " Experience with enterprise AI architecture, microservices, APIs, event-driven architecture, containers, and cloud-native deployment. " Hands-on knowledge of Claude, Gemini, Codex, Azure OpenAI, or equivalent enterprise LLM platforms. " Proficiency in Python and working knowledge of Java and/or TypeScript, REST APIs, FastAPI, Git, CI/CD, Docker, and Kubernetes. " Strong knowledge of responsible AI, security, privacy, model-risk controls, monitoring, and production-support practices. " Strong customer-facing communication, architecture presentation, and cross-functional leadership skills. Preferred Qualifications " Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. " Experience in Retail, Supply Chain, Logistics, Distribution, or a related business domain. " Relevant AI, cloud, architecture, software engineering, or Quality Engineering certifications.
11/12/2026
Full time
Job Description Job Description Role: AI Architect Location: Atlanta, GA / Onsite Duration: 6 months Pay Rate: $55 - $60 per hour(C2C) Experience Required: 12 Years Position Overview We are seeking an experienced AI Architect to lead the architecture, governance, and strategic implementation of an AI-enabled Quality Engineering Center of Excellence. The candidate will define the target architecture for AI agents, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and enterprise AI adEligible to workion across the software development lifecycle. This is a customer-facing onsite role requiring strong AI architecture, engineering, governance, and stakeholder-management capabilities. Key Responsibilities AI Architecture Leadership: Define the enterprise architecture, reference patterns, and technology roadmap for AI-powered Quality Engineering solutions. Agentic AI and RAG: Design reusable AI-agent patterns and a RAG Knowledge Fabric integrating Jira, Confluence, Git repositories, CI/CD platforms, test assets, ServiceNow, and approved enterprise data sources. Orchestration and Integration: Design multi-agent orchestration and integration services supporting requirements review, code quality, test preparation, test execution, QE intelligence, and release assurance. Governance and Responsible AI: Establish Human-in-the-Loop controls, security guardrails, explainability, confidence scoring, model evaluation, observability, auditability, and cost controls. Stakeholder and Technical Leadership: Lead architecture reviews, prioritize high-value use cases, guide onsite and offshore teams, and communicate solution decisions to business and engineering leadership. Scale and AdEligible to workion: Define the maturity path from supervised to semi-autonomous and autonomous agents while ensuring scalability, reliability, performance, and adEligible to workion. Required Qualifications " 12 years of technology experience, including 5 years in AI/ML, Generative AI, or intelligent automation. " Strong experience with LLM applications, Agentic AI, multi-agent systems, RAG, embeddings, vector search, prompt engineering, and AI evaluation. " Experience with enterprise AI architecture, microservices, APIs, event-driven architecture, containers, and cloud-native deployment. " Hands-on knowledge of Claude, Gemini, Codex, Azure OpenAI, or equivalent enterprise LLM platforms. " Proficiency in Python and working knowledge of Java and/or TypeScript, REST APIs, FastAPI, Git, CI/CD, Docker, and Kubernetes. " Strong knowledge of responsible AI, security, privacy, model-risk controls, monitoring, and production-support practices. " Strong customer-facing communication, architecture presentation, and cross-functional leadership skills. Preferred Qualifications " Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. " Experience in Retail, Supply Chain, Logistics, Distribution, or a related business domain. " Relevant AI, cloud, architecture, software engineering, or Quality Engineering certifications.
Job Description Job Description Junior Java Spring Boot Developer Build Enterprise-Style Applications Many enterprise teams rely on Java and Spring Boot for backend applications, APIs, and business-critical systems. If you are interested in backend or full-stack development, Java Spring Boot can be a strong path. But junior candidates need to understand more than annotations and syntax they need to build, test, debug, and explain applications. SynergisticIT is seeking candidates interested in Core Java, Spring Boot, REST APIs, microservices, SQL, Git, testing basics, application architecture, and cloud-ready development. This opportunity is ideal for candidates who want to strengthen their backend skills and become more prepared for junior Java roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates -tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? Which one is important to get a Job? -skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Explore JOPP: Contact: -us/ SynergisticIT JOPP is good for Spring Boot candidates because it helps them build job-ready proof. Candidates can improve project depth, align resumes with employer keywords, practice technical interviews, and learn how to present their Java work more effectively to hiring teams. Build stronger Java Spring Boot skills and prepare for real opportunities Contact us. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
11/12/2026
Full time
Job Description Job Description Junior Java Spring Boot Developer Build Enterprise-Style Applications Many enterprise teams rely on Java and Spring Boot for backend applications, APIs, and business-critical systems. If you are interested in backend or full-stack development, Java Spring Boot can be a strong path. But junior candidates need to understand more than annotations and syntax they need to build, test, debug, and explain applications. SynergisticIT is seeking candidates interested in Core Java, Spring Boot, REST APIs, microservices, SQL, Git, testing basics, application architecture, and cloud-ready development. This opportunity is ideal for candidates who want to strengthen their backend skills and become more prepared for junior Java roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates -tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? Which one is important to get a Job? -skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Explore JOPP: Contact: -us/ SynergisticIT JOPP is good for Spring Boot candidates because it helps them build job-ready proof. Candidates can improve project depth, align resumes with employer keywords, practice technical interviews, and learn how to present their Java work more effectively to hiring teams. Build stronger Java Spring Boot skills and prepare for real opportunities Contact us. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Mantis Security Corporation
Adams Run, South Carolina
Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.
11/12/2026
Full time
Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.
Job Description Job Description About the Role We are seeking an AI Lead to drive innovation and thought leadership around artificial intelligence across Total Perform. You'll combine deep technical expertise in Claude, ChatGPT, and other LLM platforms with the ability to evangelize AI capabilities internally and externally. You'll shape how we build AI-first solutions for customers, establish best practices for AI integration, and become a recognized voice in the AI community-speaking at conferences, publishing technical content, and demonstrating real-world AI applications that drive measurable business value. This is a hybrid role: technologist, strategist, and evangelist. You'll build AI solutions while also positioning Total Perform as a leader in AI-powered consulting and software delivery. What You'll Do Technical Leadership & AI Strategy Design and implement AI/LLM-powered solutions using Claude, ChatGPT, Codex, and emerging AI platforms Establish best practices, architectural patterns, and frameworks for AI integration across projects Evaluate emerging AI tools and platforms, separating real value from hype through hands-on experimentation Mentor engineers and teams on prompt engineering, AI-assisted development, and agentic workflows Build proof-of-concepts and pilot projects that demonstrate AI capabilities to customers and internal teams Collaborate with delivery, consulting, and engineering leaders to identify AI opportunities in client engagements External Evangelism & Thought Leadership Be the external face of Total Perform's AI expertise: speak at conferences, webinars, and industry events Publish technical articles, case studies, and thought leadership content on AI applications and business impact Engage with the broader tech community: contribute to open-source projects, participate in AI forums and communities Present real-world examples of AI-driven solutions and their business outcomes to potential customers Build relationships with media, analysts, and industry influencers in the AI space Represent Total Perform at industry events and thought leadership forums Internal Advocacy & Knowledge Sharing Share AI insights and best practices across the organization through training sessions, demos, and documentation Work with sales and marketing to develop AI-focused messaging and customer narratives Identify and communicate AI-driven competitive advantages and business opportunities Run internal workshops and brown bag sessions on AI tools, techniques, and applications Help frame AI within the context of our service offerings (consulting, custom software, nearshore talent) Who You Are Expert-level, hands-on experience with Claude, ChatGPT, Codex, or similar LLM platforms in production environments Strong technical foundation in software engineering, data engineering, or AI/ML (not just hype) Demonstrated experience building AI-powered applications or integrations that solve real business problems Proven ability to communicate complex technical concepts to both technical and non-technical audiences Natural evangelist and communicator: comfortable presenting to audiences, writing technical content, and engaging on social media Entrepreneurial mindset: you see opportunities where others see obstacles, think strategically about market positioning Strong business acumen: you understand how AI creates value and can articulate ROI and competitive advantage Track record of thought leadership: speaking engagements, published content, community engagement, or recognized expertise in your field Collaborative leader who elevates teams and builds organizational capability around AI Deep curiosity about emerging AI capabilities and their business applications Required Qualifications Hands-on production experience with Claude, ChatGPT, or similar LLM platforms (not just exploration, but real implementations) Strong technical background in software engineering, data engineering, AI/ML, or related field Proven ability to communicate AI concepts to multiple audiences (technical and non-technical) Experience building or architecting AI-powered solutions that deliver measurable business value Track record of external communication: speaking, writing, community engagement, or recognized expertise Strong understanding of AI capabilities, limitations, and ethical considerations Ability to evaluate emerging AI tools and articulate their potential impact and use cases Experience working with customers to identify and implement AI solutions Excellent verbal and written communication skills Passion for AI and commitment to staying current with the rapidly evolving landscape Preferred Qualifications Experience with prompt engineering and fine-tuning LLMs Background in consulting, systems thinking, or strategic advisory Experience building agentic workflows or AI-assisted development tools Published technical content, speaking engagements at industry events, or recognized thought leadership Familiarity with multiple AI platforms and frameworks (LangChain, LlamaIndex, Anthropic SDK, OpenAI API, etc.) Experience in healthcare, financial services, or enterprise software domains Background in product strategy or go-to-market positioning Data science or machine learning background Experience with AI governance, safety, and ethical considerations Tech Stack & Platforms LLM Platforms: Claude, ChatGPT, Codex Frameworks & Tools: LangChain, LlamaIndex, Anthropic SDK, OpenAI API, Hugging Face Development: Python, JavaScript, SQL Cloud Platforms: Azure, AWS, Google Cloud Data Tools: Vector databases, RAG frameworks, embedding models Monitoring & Observability: Langsmith, Arize, or similar AI observability tools Communication Channels: LinkedIn, Twitter/X, Medium, conference speaking platforms Your partner for AI, consulting, software development, and nearshore staffing.
11/12/2026
Full time
Job Description Job Description About the Role We are seeking an AI Lead to drive innovation and thought leadership around artificial intelligence across Total Perform. You'll combine deep technical expertise in Claude, ChatGPT, and other LLM platforms with the ability to evangelize AI capabilities internally and externally. You'll shape how we build AI-first solutions for customers, establish best practices for AI integration, and become a recognized voice in the AI community-speaking at conferences, publishing technical content, and demonstrating real-world AI applications that drive measurable business value. This is a hybrid role: technologist, strategist, and evangelist. You'll build AI solutions while also positioning Total Perform as a leader in AI-powered consulting and software delivery. What You'll Do Technical Leadership & AI Strategy Design and implement AI/LLM-powered solutions using Claude, ChatGPT, Codex, and emerging AI platforms Establish best practices, architectural patterns, and frameworks for AI integration across projects Evaluate emerging AI tools and platforms, separating real value from hype through hands-on experimentation Mentor engineers and teams on prompt engineering, AI-assisted development, and agentic workflows Build proof-of-concepts and pilot projects that demonstrate AI capabilities to customers and internal teams Collaborate with delivery, consulting, and engineering leaders to identify AI opportunities in client engagements External Evangelism & Thought Leadership Be the external face of Total Perform's AI expertise: speak at conferences, webinars, and industry events Publish technical articles, case studies, and thought leadership content on AI applications and business impact Engage with the broader tech community: contribute to open-source projects, participate in AI forums and communities Present real-world examples of AI-driven solutions and their business outcomes to potential customers Build relationships with media, analysts, and industry influencers in the AI space Represent Total Perform at industry events and thought leadership forums Internal Advocacy & Knowledge Sharing Share AI insights and best practices across the organization through training sessions, demos, and documentation Work with sales and marketing to develop AI-focused messaging and customer narratives Identify and communicate AI-driven competitive advantages and business opportunities Run internal workshops and brown bag sessions on AI tools, techniques, and applications Help frame AI within the context of our service offerings (consulting, custom software, nearshore talent) Who You Are Expert-level, hands-on experience with Claude, ChatGPT, Codex, or similar LLM platforms in production environments Strong technical foundation in software engineering, data engineering, or AI/ML (not just hype) Demonstrated experience building AI-powered applications or integrations that solve real business problems Proven ability to communicate complex technical concepts to both technical and non-technical audiences Natural evangelist and communicator: comfortable presenting to audiences, writing technical content, and engaging on social media Entrepreneurial mindset: you see opportunities where others see obstacles, think strategically about market positioning Strong business acumen: you understand how AI creates value and can articulate ROI and competitive advantage Track record of thought leadership: speaking engagements, published content, community engagement, or recognized expertise in your field Collaborative leader who elevates teams and builds organizational capability around AI Deep curiosity about emerging AI capabilities and their business applications Required Qualifications Hands-on production experience with Claude, ChatGPT, or similar LLM platforms (not just exploration, but real implementations) Strong technical background in software engineering, data engineering, AI/ML, or related field Proven ability to communicate AI concepts to multiple audiences (technical and non-technical) Experience building or architecting AI-powered solutions that deliver measurable business value Track record of external communication: speaking, writing, community engagement, or recognized expertise Strong understanding of AI capabilities, limitations, and ethical considerations Ability to evaluate emerging AI tools and articulate their potential impact and use cases Experience working with customers to identify and implement AI solutions Excellent verbal and written communication skills Passion for AI and commitment to staying current with the rapidly evolving landscape Preferred Qualifications Experience with prompt engineering and fine-tuning LLMs Background in consulting, systems thinking, or strategic advisory Experience building agentic workflows or AI-assisted development tools Published technical content, speaking engagements at industry events, or recognized thought leadership Familiarity with multiple AI platforms and frameworks (LangChain, LlamaIndex, Anthropic SDK, OpenAI API, etc.) Experience in healthcare, financial services, or enterprise software domains Background in product strategy or go-to-market positioning Data science or machine learning background Experience with AI governance, safety, and ethical considerations Tech Stack & Platforms LLM Platforms: Claude, ChatGPT, Codex Frameworks & Tools: LangChain, LlamaIndex, Anthropic SDK, OpenAI API, Hugging Face Development: Python, JavaScript, SQL Cloud Platforms: Azure, AWS, Google Cloud Data Tools: Vector databases, RAG frameworks, embedding models Monitoring & Observability: Langsmith, Arize, or similar AI observability tools Communication Channels: LinkedIn, Twitter/X, Medium, conference speaking platforms Your partner for AI, consulting, software development, and nearshore staffing.
Job Description Job Description Responsibilities: Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives. Partner with executive leaders across Access, Defense, Fire & Emergency, and Commercial segments to identify high-value analytics opportunities. Champion best practices for MLOps, model governance, ethical AI, and scalable data products. Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models. Translate complex business challenges into production-ready data science frameworks Provide technical mentorship and guidance to senior, mid-level, and associate data scientists and machine learning engineers. Collaborate closely with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring. Communicate complex analytical concepts and ROI metrics clearly to technical and non-technical stakeholders. Requirements: Experience with industrial IoT, telematics, edge AI, or time-series sensor data from heavy machinery, automotive, or aerospace domains. Background in computer vision (CV), autonomous vehicle tech, or robotics. 8 years of progressive levels of responsibility in analytics and AI in any business organization Programming: Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus. ML/AI Frameworks: Deep experience with Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. Big Data & Cloud: Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark. MLOps & DevOps: Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows. Familiarity with Agile/Scrum delivery frameworks within large enterprise environments. 8 years of experience is the manager's expectation for the principal level. Proven experience delivering analytics or AI projects tied to business outcomes, with demonstrated impact on revenue growth or margin improvement. Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. From fields such as automotive, energy, CPG, or healthcare may also fit if they bring relevant business acumen. Experience working between business teams and IT/analytics: engaging senior business leaders (AVP level and above), gathering requirements, translating them into technology problems, and explaining solutions back to the business. Strong communication, business acumen, and ability to influence, including handling challenging conversations with senior leaders. Demonstrated experience mentoring junior team members. Industry Experience: Experience working in a portfolio company with multi-business units; preferably a manufacturing company Bring domain expertise in Supply chain, Manufacturing or Lifecycle services Consulting (nice to have) Personal Characteristics: Exceptional problem-solving, strategic thinking, and architectural design skills. Strong business acumen with the ability to link algorithmic output to measurable industrial impact Fit with Client culture AI and Business savvy person who understands how businesses make money and how AI tools can help businesses solve real business problems Strong EQ with the demonstrated ability to relate to both data scientists and business leaders A strong listener with strong written, and verbal communication skills Change agent who can lead via inspiration and motivation, subject knowledge, and demonstrating a "roll up your sleeves approach to working Preferred: Bachelor's degree in data science, mathematics, economics, statistics, engineering, or information management Advanced Degree (MBA and/or PhD) Background in computer vision (CV), autonomous vehicle tech, or robotics. Familiarity with Agile/Scrum delivery frameworks Awareness of and openness to market-based or vendor-led AI solutions - not assuming every solution must be built in-house. A consultative, outcome-focused approach: able to deliver a solution by building it, partnering with a vendor or consultancy, or using managed services. The Principal Data Scientist serves as the technical authority and strategic lead for enterprise artificial intelligence, machine learning, and advanced analytics initiatives across Client Corporation. In this role, you will architect cutting-edge AI solutions to optimize smart manufacturing, predictive maintenance, aftermarket parts and sales and supply chain operations. We offer attractive, competitive compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit to learn more. Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.
11/12/2026
Full time
Job Description Job Description Responsibilities: Define the technical roadmap and architecture for enterprise AI/ML initiatives aligned with business objectives. Partner with executive leaders across Access, Defense, Fire & Emergency, and Commercial segments to identify high-value analytics opportunities. Champion best practices for MLOps, model governance, ethical AI, and scalable data products. Lead the end-to-end design, development, and deployment of complex predictive, prescriptive, and generative AI models. Translate complex business challenges into production-ready data science frameworks Provide technical mentorship and guidance to senior, mid-level, and associate data scientists and machine learning engineers. Collaborate closely with data engineering, cloud infrastructure, and software teams to ensure robust model deployment and monitoring. Communicate complex analytical concepts and ROI metrics clearly to technical and non-technical stakeholders. Requirements: Experience with industrial IoT, telematics, edge AI, or time-series sensor data from heavy machinery, automotive, or aerospace domains. Background in computer vision (CV), autonomous vehicle tech, or robotics. 8 years of progressive levels of responsibility in analytics and AI in any business organization Programming: Advanced proficiency in Python and SQL; experience with R, Scala, or C is a plus. ML/AI Frameworks: Deep experience with Scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. Big Data & Cloud: Strong hands-on experience with cloud ecosystems (Azure or AWS), Databricks, Snowflake, and Apache Spark. MLOps & DevOps: Demonstrated expertise in Docker, CI/CD pipelines, MLflow, model registry, monitoring, and automated retraining workflows. Familiarity with Agile/Scrum delivery frameworks within large enterprise environments. 8 years of experience is the manager's expectation for the principal level. Proven experience delivering analytics or AI projects tied to business outcomes, with demonstrated impact on revenue growth or margin improvement. Strong business or domain expertise in manufacturing, supply chain, operations, sales, or lifecycle services. From fields such as automotive, energy, CPG, or healthcare may also fit if they bring relevant business acumen. Experience working between business teams and IT/analytics: engaging senior business leaders (AVP level and above), gathering requirements, translating them into technology problems, and explaining solutions back to the business. Strong communication, business acumen, and ability to influence, including handling challenging conversations with senior leaders. Demonstrated experience mentoring junior team members. Industry Experience: Experience working in a portfolio company with multi-business units; preferably a manufacturing company Bring domain expertise in Supply chain, Manufacturing or Lifecycle services Consulting (nice to have) Personal Characteristics: Exceptional problem-solving, strategic thinking, and architectural design skills. Strong business acumen with the ability to link algorithmic output to measurable industrial impact Fit with Client culture AI and Business savvy person who understands how businesses make money and how AI tools can help businesses solve real business problems Strong EQ with the demonstrated ability to relate to both data scientists and business leaders A strong listener with strong written, and verbal communication skills Change agent who can lead via inspiration and motivation, subject knowledge, and demonstrating a "roll up your sleeves approach to working Preferred: Bachelor's degree in data science, mathematics, economics, statistics, engineering, or information management Advanced Degree (MBA and/or PhD) Background in computer vision (CV), autonomous vehicle tech, or robotics. Familiarity with Agile/Scrum delivery frameworks Awareness of and openness to market-based or vendor-led AI solutions - not assuming every solution must be built in-house. A consultative, outcome-focused approach: able to deliver a solution by building it, partnering with a vendor or consultancy, or using managed services. The Principal Data Scientist serves as the technical authority and strategic lead for enterprise artificial intelligence, machine learning, and advanced analytics initiatives across Client Corporation. In this role, you will architect cutting-edge AI solutions to optimize smart manufacturing, predictive maintenance, aftermarket parts and sales and supply chain operations. We offer attractive, competitive compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit to learn more. Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.
Job Description Job Description Job Title: Network & Systems Administrator Location: Annapolis, MD Work Model: On-Site Hours: 40.0 Job Summary: Based in Maryland, you will be a key member of a 24/7/365 operations team responsible for supporting highly available, mission-critical communications infrastructure. This role serves as a senior escalation point, ensuring the performance, reliability, and security of networking and IT systems Responsibilities: Provide L3 technical support through Etherstack's 24/7/365 service desk, including on-call rotations and shift-based coverage; respond to, triage, escalate, and resolve incidents in accordance with defined SLAs. Proactively monitor all IT systems, networks, and cloud infrastructure using observability tooling; identify and remediate issues before they impact operations. Design, deploy, and maintain Etherstack's IT networks-including cloud-hosted environments-with a focus on resilience, redundancy, and security; augment infrastructure to support new projects and services. Ensure IT systems meet security and compliance standards; plan and execute upgrades, patches, and hardening activities. Maintain and administer user accounts, access controls, and application software licenses. Conduct regular audits of IT systems and software; maintain an accurate, up-to-date asset register. Document policies, procedures, infrastructure, and system configurations to a professional standard. Analyze, test, and deploy software patches and updates in a controlled, risk-managed manner. Provide technical guidance and mentorship to junior team members; contribute to knowledge base articles and training materials. Requirements: Bachelor's degree in a field related to IT, computer science, or telecommunications. Juniper Engineer level certification in Routing and Switching (JNCIP) and Network Security (JNCIP-SEC). Red Hat Certified Engineer (RHCE), and Red Hat Certified Specialist in Security certifications. At least three years of senior-level experience in systems and network administration, ideally within a 24/7 operations or NOC environment, with demonstrable on-call and shift rotation experience in a mission-critical setting. Proven experience in an ISP or carrier-grade networking environment. Experience deploying and maintaining virtualized Linux servers (on-premises and cloud). Experience designing and implementing secure, robust network architectures including VPNs, VLANs, and firewall configurations; hands-on experience with Cisco, Juniper, and open-source tools such as FRR routing. Strong scripting and automation proficiency in Bash, Python, and Ansible. Experience with Linux on virtualized platforms (OpenStack, OpenShift, VMware, Microsoft Azure), with strong expertise in Red Hat Enterprise Linux (RHEL), including Subscriptions, Licensing, IdM Server, and Satellite Server. Experience configuring, troubleshooting, and hardening VMs and servers using Intrusion Detection Systems (IDS). Hands-on experience with monitoring and observability stacks: Grafana, Prometheus, Loki, or Thanos. Excellent written and oral English communication skills, including the ability to write clear incident reports and post-mortems. Ability to remain composed and make sound decisions under pressure during critical incidents; strong professional relationship skills in a fast-paced, always-on environment. Routing & Switching: Deep expertise in IP routing and switching, including MPLS, BGP, OSPF, EIGRP, RIP, Multicast, VLANs, Inter-VLANs, Spanning Tree, BFD, VXLAN, eVPN, IS-IS, and VRRP. VPN & Security: Solid experience with IPSec VPNs, SSL VPNs, and advanced firewall configuration. Network Troubleshooting: Strong ability to diagnose and resolve complex, time-sensitive networking issues efficiently. Systems Administration: Installation, configuration, hardening, maintenance, and patching of network and server infrastructure; advanced troubleshooting in disk/storage management including LVM, RAW, XFS, EXT4, and BTRFS. Monitoring & Observability: Configuring, troubleshooting, and managing systems including Grafana, Prometheus, Elasticsearch, and related tooling. DevOps Practices: Familiarity with Git-based workflows and automated deployment strategies in production environments. Cloud certification (Azure, AWS, or Google Cloud) and experience with Terraform or similar IaC tools for cloud provisioning. Cybersecurity training and certification (e.g., CompTIA Security+, CISSP). Experience contributing to DevOps or SRE frameworks, including CI/CD pipelines, infrastructure-as-code (Terraform, Ansible), and version-controlled configuration management. Quality of Service (QoS) configuration on routers, switches, and firewalls. Experience with network management tools (e.g., Nagios) and protocols (e.g., SNMP); expertise in authentication technologies, particularly Active Directory and LDAP. Familiarity with ITIL or similar service management frameworks relevant to 24/7 operations. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
11/12/2026
Full time
Job Description Job Description Job Title: Network & Systems Administrator Location: Annapolis, MD Work Model: On-Site Hours: 40.0 Job Summary: Based in Maryland, you will be a key member of a 24/7/365 operations team responsible for supporting highly available, mission-critical communications infrastructure. This role serves as a senior escalation point, ensuring the performance, reliability, and security of networking and IT systems Responsibilities: Provide L3 technical support through Etherstack's 24/7/365 service desk, including on-call rotations and shift-based coverage; respond to, triage, escalate, and resolve incidents in accordance with defined SLAs. Proactively monitor all IT systems, networks, and cloud infrastructure using observability tooling; identify and remediate issues before they impact operations. Design, deploy, and maintain Etherstack's IT networks-including cloud-hosted environments-with a focus on resilience, redundancy, and security; augment infrastructure to support new projects and services. Ensure IT systems meet security and compliance standards; plan and execute upgrades, patches, and hardening activities. Maintain and administer user accounts, access controls, and application software licenses. Conduct regular audits of IT systems and software; maintain an accurate, up-to-date asset register. Document policies, procedures, infrastructure, and system configurations to a professional standard. Analyze, test, and deploy software patches and updates in a controlled, risk-managed manner. Provide technical guidance and mentorship to junior team members; contribute to knowledge base articles and training materials. Requirements: Bachelor's degree in a field related to IT, computer science, or telecommunications. Juniper Engineer level certification in Routing and Switching (JNCIP) and Network Security (JNCIP-SEC). Red Hat Certified Engineer (RHCE), and Red Hat Certified Specialist in Security certifications. At least three years of senior-level experience in systems and network administration, ideally within a 24/7 operations or NOC environment, with demonstrable on-call and shift rotation experience in a mission-critical setting. Proven experience in an ISP or carrier-grade networking environment. Experience deploying and maintaining virtualized Linux servers (on-premises and cloud). Experience designing and implementing secure, robust network architectures including VPNs, VLANs, and firewall configurations; hands-on experience with Cisco, Juniper, and open-source tools such as FRR routing. Strong scripting and automation proficiency in Bash, Python, and Ansible. Experience with Linux on virtualized platforms (OpenStack, OpenShift, VMware, Microsoft Azure), with strong expertise in Red Hat Enterprise Linux (RHEL), including Subscriptions, Licensing, IdM Server, and Satellite Server. Experience configuring, troubleshooting, and hardening VMs and servers using Intrusion Detection Systems (IDS). Hands-on experience with monitoring and observability stacks: Grafana, Prometheus, Loki, or Thanos. Excellent written and oral English communication skills, including the ability to write clear incident reports and post-mortems. Ability to remain composed and make sound decisions under pressure during critical incidents; strong professional relationship skills in a fast-paced, always-on environment. Routing & Switching: Deep expertise in IP routing and switching, including MPLS, BGP, OSPF, EIGRP, RIP, Multicast, VLANs, Inter-VLANs, Spanning Tree, BFD, VXLAN, eVPN, IS-IS, and VRRP. VPN & Security: Solid experience with IPSec VPNs, SSL VPNs, and advanced firewall configuration. Network Troubleshooting: Strong ability to diagnose and resolve complex, time-sensitive networking issues efficiently. Systems Administration: Installation, configuration, hardening, maintenance, and patching of network and server infrastructure; advanced troubleshooting in disk/storage management including LVM, RAW, XFS, EXT4, and BTRFS. Monitoring & Observability: Configuring, troubleshooting, and managing systems including Grafana, Prometheus, Elasticsearch, and related tooling. DevOps Practices: Familiarity with Git-based workflows and automated deployment strategies in production environments. Cloud certification (Azure, AWS, or Google Cloud) and experience with Terraform or similar IaC tools for cloud provisioning. Cybersecurity training and certification (e.g., CompTIA Security+, CISSP). Experience contributing to DevOps or SRE frameworks, including CI/CD pipelines, infrastructure-as-code (Terraform, Ansible), and version-controlled configuration management. Quality of Service (QoS) configuration on routers, switches, and firewalls. Experience with network management tools (e.g., Nagios) and protocols (e.g., SNMP); expertise in authentication technologies, particularly Active Directory and LDAP. Familiarity with ITIL or similar service management frameworks relevant to 24/7 operations. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.