510 jobs found

Ho'olaulima Government Solutions LLC (HGS) is a Small Business Administration-certified, Native Hawaiian Organization-Owned, 8(a) Small Business that provides services and solutions in the areas of Environmental Services, Information Technology Services, Healthcare Services and Professional and Technical Services to the Department of Defense and other Federal agencies. HGS is a wholly-owned subsidiary of the Kina'ole Foundation, a 501(c)(3) non-profit established to benefit Native Hawaiian communities. You will receive a comprehensive benefits package that includes: Health insurance Dental insurance Life insurance 401K and much, much more! Job Duties: Provide comprehensive administrative, analytical, and operational support to Business Directorate (BD) codes and Subject Matter Experts (SMEs). Design, automate, maintain, and troubleshoot workflows using Microsoft 365 applications, including Power Automate, Power BI, SharePoint, Teams, Outlook, Planner, and Forms. Analyze business processes and recommend and implement improvements to increase efficiency, streamline workflows, and accelerate outcomes. Support strategic planning, future requirements, business analytics, strategic reviews, and preparation of after-action reports. Provide Human Resources support, including Requests for Personnel Action, manning analysis, and desk audits. Conduct manpower and equipment utilization studies and support Total Force Development activities, including Learning Management System administration, training needs assessments, placement readiness analysis, and training logistics. Support budget planning, execution, tracking, and management activities. Prepare and analyze reports, metrics, taskers, data calls, dashboards, and other visualizations for leadership. Maintain and update SharePoint sites, administrative records, procedures, instructions, and other command documentation. Provide Defense Travel System (DTS) and general administrative support. Provide administrative and facilitation support for command governance boards, meetings, and initiatives. Develop, review, and maintain Instructions, Notices, Standard Operating Procedures (SOPs), directives, and other policy documents. Support procurement program administration, personal property management, and inventory control. Research and analyze operational transformation initiatives and provide recommendations to support successful implementation. Develop, manage, and track Plans of Action and Milestones (POA&Ms) to support program execution and timely completion of requirements. Coordinate with senior staff, Directorates, Divisions, ROICCs, and other stakeholders to collect, consolidate, and analyze program and performance information. Compile and analyze information for Requests for Information (RFIs), briefings, data calls, and other high-priority leadership requests. Draft, review, and edit official correspondence, including Naval and business letters, memoranda, messages, reports, and briefing materials. Maintain correspondence and action-item trackers, monitor work in progress, and follow up with responsible offices to ensure timely completion. Review correspondence and documentation for accuracy and compliance with Command policies, practices, and procedures. Analyze cross-functional operations and provide technical and administrative assistance to senior staff. Perform other duties as assigned. Minimum Requirements: Minimum (5) five years management and/or program analysis experience. Analytical, communication, interpersonal, problem-solving, and time management skills. Proficiency in the use of the Microsoft Office Suite (Word, Excel, Power Point), Microsoft Power Platform (Power Automate, Power BI, Power Apps, Visio, etc), Tableau, and Adobe Acrobat. Be a United States citizen Have a security clearance SECRET or must be able to obtain interim secruity clearance. HGS is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Roger Williams University Title: Technology Services Specialist, Information Technology Location: Bristol, RI Category: Professional and Clerical Job Type: Full-time Regular Posted On: Tue Sep 1 2026 Job Description: The Technology Services Specialist operates the Media Tech service desk and provides Tier 1 technical support and expertise to students, faculty and staff. The Specialist works with student Media Tech Assistants as part of a team that provides technical support via phone, walk-in, web forms, and e-mail for supported applications and IT services. Activities include problem research, identification, resolution, follow-up, routing and escalation, as required. This position works in close cooperation with the RWU user community and other support organizations on campus to resolve issues efficiently and effectively. The Specialist is expected to actively contribute to the team by working collaboratively, identifying opportunities to improve customer satisfaction, and contributing to an integrated knowledge base. Media Tech Desk Operations Service Provide Tier 1 technical support and referral for incoming customer requests via phone, email, text, chat, web forms and walk-in customers. Perform problem research, identification, resolution, follow-up and escalation. Troubleshoot and track problems with on-site hardware, including computers, printers and scanners including supported applications. Provide on-site and remote support and training for students, staff, faculty, administration, and outside conference groups in classrooms, labs, and presentation systems. Perform equipment setup, support, and maintenance/updates for classroom and event equipment such as laptops, computers, cameras, televisions, videoconferencing units and presentation systems. (Currently CES) Contribute to the knowledge base to ensure the highest quality solutions are available to staff. Staffing, Scheduling and Training Assist the Technology Services Leader with oversight of student Media Tech Assistants. Develop and deliver training for all Media Tech staff and student workers, and develop and maintain all training documentation. Messaging, Communications and Outreach Assist the Technology Services Leader with marketing and promoting the Media Tech service delivery model. Additional Functions Participate in staff development activities related to the position. Undertake special projects as directed by supervisor or supervisor's designee. Job Requirements: Bachelor's degree in computer, information science or a related field. Minimum of two years experience in Information Technology. Minimum of two years experience in Customer Service. Working knowledge of current Apple and Windows platforms as well as Microsoft Office productivity and other applications running on those platforms. Demonstrated excellence in customer service and professionalism. Strong interpersonal and communication skills including writing, messaging and presentation. Ability to work effectively independently and with team members. Ability to set priorities and organize work to meet deadlines, ensuring that critical request are first addressed and no requests are unaddressed. Ability to work with students in service delivery, scheduling, training and direction. Preferred Qualifications One or more current certifications appropriate to help desk work (e.g. HDI, ACSP, ITIL, etc.) Intermediate experience installing and configuring hardware and software. Related technical certifications such as A+, Microsoft MCTA or MCSA certification and industry standard technical certifications for vendor computers and peripherals. Familiarity with course management systems, Panopto Focus video capture program and Zoom web conferencing applications. Minimum one year experience directing students and/or volunteers. At the University's discretion, the education and experience prerequisites may be accepted where the candidate can demonstrate, to the satisfaction of the University, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Additional Information: Roger Williams University is an affirmative action/equal opportunity employer and committed to a diverse workforce. All applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or any other basis protected by applicable state and federal law. For information on our Non-discrimination policy, visit here. RWU prohibits all forms of discrimination on the basis of sex in its education programs and activities and is required by Title IX of the Education Amendments of 1972 (Title IX) and its implementing regulations not to discriminate in such a manner. Complaints of Title IX sexual harassment should be reported to the Title IX Coordinator at the contact information listed below. Details regarding the formal complaint process can be found here: Title IX Sexual Harassment Policy and Procedures. All complaints of sexual harassment will be taken seriously and responded to promptly. TITLE IX COORDINATOR: Dr. Jen Stanley, 1 Old Ferry Road, Bristol, RI 02809 / Phone Number: /Email Address: PI

Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.

Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details

Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of th servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. AWS is seeking an exceptional individual to join the Global Project Standards - New Construction (GPS-NC) team as a Technical Infrastructure Program Manager (TIPM). TIPMs are responsible for driving programs and initiatives that impact our DCCD teams and stakeholders. These efforts drive operational standardization, efficiency, and innovation, while ensuring DCCD teams are maintaining the highest level of safety and security standards. TIPMs take on large, ambiguous problems, identify and develop solutions, and lead their implementation and adoption. Ongoing support includes owning program communication, records, and reporting; proactively identifying and remediating risks and vulnerabilities to program operations; and tracking compliance with organizational changes. Key job responsibilities • Writing narratives that define program requirements and desired end-states to gain buy-in and approval from DCCD leadership. • Developing program documentation, including statements of work, responsibility matrices, functional and design specifications, implementation approach, metrics, and reporting. • Owning and managing program communications, including delivering program status reports, metrics reports, and business reviews. Serve as the first point of contact for programs. • Developing program milestones and plans, securing resources and assigning responsibilities, and driving schedules to ensure timely and successful program delivery. • Accelerating program progress by driving crisp and timely decisions, mitigating risks, clearing blockers, and escalating appropriately. • Applying process improvement methodologies to drive efficiency in procedures and tools, including defining and clarifying business procedures and process requirements. • Managing post-launch support plans, including managing workflows, issues, tickets, Correction of Errors (COEs), and post-mortems. Developing mechanisms to automate or eliminate post-launch support as necessary. • Working directly with technical managers, engineers, and partner teams to set program priorities, secure resources, execute work, and drive delivery. • Support and manage the roadmap for a program, including yearly projects and organizational goals. About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of technical product or program management experience - 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience in construction of data center delivery (design, commissioning and construction), mission critical facilities, or equivalent industrial/manufacturing facility builds PREFERRED QUALIFICATIONS - 3+ years of working directly with engineering teams experience - Experience working with large global teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 127 000.00 USD annually

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project management, and maintaining the building management system (BMS) and electrical power monitoring system (EPMS). Using Amazon leadership principles, you will develop new processes and standards while innovating in the controls space. AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers air-cooled and water-cooled , pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc. All these components have local control systems that interact with each other via open and/or proprietary communications protocols. The BMS is the primary method of control of all mechanical systems within a data center. The EPMS is the primary method of monitoring all electrical systems within a data center. Key job responsibilities As a Data Center Controls Engineer you will: • Troubleshoot and perform Root Cause Analysis or Corrective Action for BMS and EPMS related issues in AWS data centers. • Train and assist internal customers and stakeholders with the creation, design, configuration, validation, installation, commissioning and operation of BMS and EPMS systems. • Provide technical assistance and support to operations during life cycle of the data center. • Review results and action items from the quarterly maintenances for BMS and EPMS and take actions to get them resolved. • Develop BMS & EPMS projects scope of work, schedule, budget, and level of efforts (LOE) to projects requested by customers and stakeholders. • Manage scope, schedule, finance and execution of BMS and EPMS improvement projects in AWS data centers. • Assist in procurement related activities including request for quotation/proposals, responding to request for information, review of vendors proposal and issuance of purchase orders. • Participate in AWS global on-call schedule to provide immediate BMS and EPMS technical support to in-service data centers. • Attend project related meetings, coordinate with project leaders and regularly report status to Controls and stakeholders management. • Support Controls projects related commissioning activities in the data centers. • Review, implement, troubleshoot and iterate on the controls sequence of operation (SOO) and provide necessary feedback to the design team. • Develop and modify controls logic programming and graphical user interfaces. • Manage multiple stakeholder deliverables, requirements and navigate challenging situations. • Financially manage BMS and EPMS service contracts. • Frequently visit (locally) assigned in-operation data centers to troubleshoot, meet customers, supervise vendor's work to ensure compliance with the scope, design, SOO and applicable local codes. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems PREFERRED QUALIFICATIONS - 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure - Experience reading and interpreting construction specifications and drawings for all domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Manassas - 111 100.00 USD annually

Summit Pharmacy Solutions LLC seeks a Sr. Data Integration Engineer to design, build, and optimize data pipelines that power clinical, pharmacy, and operational workflows. In this role, you will integrate EHR, pharmacy, and third-party systems; develop APIs and ETL processes; and ensure secure, accurate data exchange to support patient care and regulatory reporting. You will collaborate with pharmacists, clinicians, and IT to translate requirements into scalable solutions, improve data quality, maintain HIPAA-compliant integrations, and provide technical leadership on architecture, documentation, and best practices. Responsibilities Design and maintain scalable data integration pipelines between EHR, pharmacy, and third-party systems. Develop and optimize ETL processes and APIs to support clinical and operational workflows. Ensure data quality, integrity, and security in compliance with HIPAA and pharmacy regulations. Collaborate with pharmacists, clinicians, and IT to gather requirements and deliver technical solutions. Monitor, troubleshoot, and improve performance of data flows and integrations. Create and maintain technical documentation, data mappings, and integration standards. Provide technical leadership on data architecture and integration best practices. Required Skills Data integration ETL development API design (REST/HL7/FHIR) SQLRelational databases Cloud platforms (e.g., Azure/AWS/GCP) Data modeling Healthcare data standards (HL7, FHIR, NCPDP) HIPAA and security best practices Scripting (Python/Scala)

What you will do The AI Vision Systems Specialist is responsible for designing, developing, and deploying computer vision solutions that enable intelligent automation and quality control in Clarios manufacturing plants. This role supports the Future Factory vision by integrating advanced vision systems and AI algorithms into production lines. The specialist works closely with IT, product engineering, operations, and regional teams to deliver scalable, robust, and innovative solutions for automated inspection and process optimization. A key part of this role is connecting with business stakeholders across regions to collaboratively identify and align on pain points and priorities. The specialist will develop proof-of-concept (PoC) solutions in lab environments, validate them, and drive the integration of core solutions into base machines for global deployment. This position is remote with possible relocation required. How you will do it Business Engagement & Needs Identification Proactively engage with business and plant teams across regions to understand operational challenges, pain points, and improvement opportunities. Collaborate with business owners to create product roadmaps that prioritize delivery of key capabilities to the plants. Facilitate workshops and collaborative sessions to define priorities for vision system applications Solution Development & Deployment Design, develop, and implement computer vision systems for automated inspection, defect detection, and process monitoring. Develop PoC solutions in lab environments, validate with stakeholders, and drive integration into base machines. Integrate vision systems (edge devices, cameras, sensors, lighting) with manufacturing equipment. Create predictive and preventative maintenance schedule along with necessary spare parts list to ensure long-term viability of solutions. Collaborate with IT and engineering to deploy AI models and data pipelines for real-time analytics. Regional Execution & Scalability Lead and support deployment of vision solutions across multiple regions, ensuring adaptability to local requirements and standards. Coordinate with regional teams for pilot builds, R&D trials, commissioning, and feedback loops. Technical Leadership & Documentation Evaluate and select hardware/software for vision applications in brownfield and greenfield scenarios. Develop and maintain technical documentation, including Supplier Statements of Work (SSOW), Bills of Materials (BOM), System calibration and quality procedures, and spare parts lists. Guide vendor selection and manage strategic partnerships with equipment suppliers and integrators. Continuous Improvement & Innovation Stay current with emerging technologies in computer vision, machine learning, and industrial automation. Conduct benchmarking and share findings with global teams. Champion innovation and standardization across sites and regions. Communication & Collaboration Communicate technical concepts and project status to stakeholders at all levels, including executive leadership. Foster cross-functional and cross-regional collaboration to ensure alignment and best practice sharing. To succeed in this role, the individual must have a sound knowledge of vision systems in addition to internal business acumen: Visionary thinking and technical leadership in computer vision for manufacturing. Strong business acumen and ability to translate operational needs into technical solutions. Innovation and adaptability in fast-paced, evolving environments. Effective communication and collaboration across functions, cultures, and regions. Structured planning, project management, and follow-through. What we look for Required Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field. 3+ years of experience in computer vision, machine learning, or automation engineering. Experience with vision system integration in manufacturing or industrial environments. Familiarity with industrial cameras, sensors, and lighting systems. Experience deploying AI models to edge devices or cloud platforms. Proficiency in 3D CAD tools and simulation software is a plus. Experience leading cross-functional projects in international settings. FUTURE RELOCATION TO TEXAS IS REQUIRED Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Clarios will not sponsor applicants for U.S. work visas for this opportunity. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale. Your Impact Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time. Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers. Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes. Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard. Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes. Qualifications Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time. Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system. Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets. Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes. Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering. Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems. Sustainability: You value work-life balance as a foundation for sustained high performance. Must Have ML Development at scale: Has built and supported production ML systems at scale. Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making. Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference. RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data. AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts. Nice to Have Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows. GPU performance tuning (vLLM, TensorRT, Triton, or similar). Experience with ontology-driven systems or knowledge graphs supporting AI applications. Familiarity with real estate, property management, or leasing workflows. Contributions to open-source ML infrastructure or LLM tooling. Location Find out more about our locations by visiting our site. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is: $200,000 - $275,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.

Job Description Job Description Position Summary: The Robotic Welding Programmer is responsible for programming, configuring, and optimizing robotic welding systems to produce high-quality welded products safely and efficiently. This role troubleshoots robotic welding systems and works closely with engineering, quality, and production teams to support manufacturing operations. Primary Responsibilities: Program and optimize robotic welding systems for new and existing products. Create, modify, and troubleshoot robot programs using teach pendants and offline programming software where applicable. Develop weld paths, torch angles, travel speeds, and welding parameters to ensure quality and productivity. Set up robotic welding cells for new product launches and engineering changes. Troubleshoot robot programming, welding quality, and equipment issues. Optimize cycle times while maintaining safety and product quality. Perform robot backups, software updates, and program documentation. Collaborate with engineering to design fixtures and improve manufacturability. Support preventive maintenance and equipment calibration activities. Analyze weld quality and implement corrective actions for defects. Train operators and technicians on proper robot operation and basic troubleshooting. Read and interpret engineering drawings, GD&T, weld symbols, and specifications. Support continuous improvement initiatives using Lean manufacturing principles. Ensure compliance with safety standards, company policies, and customer requirements. Perform other duties as required or assigned. Qualifications: High school diploma or GED required; associate degree or technical certification in robotics, welding, manufacturing, or a related field preferred. 3-5 years of robotic welding programming experience in a manufacturing environment. Experience with MIG (GMAW) and/or TIG (GTAW) welding processes. Experience programming one or more robotic platforms. Knowledge of robotic welding power sources. Strong understanding of robotic programming principles and motion optimization. Knowledge of welding metallurgy and welding procedures. Ability to troubleshoot robot hardware, software, sensors, and welding equipment. Ability to interpret blueprints, weld symbols, and geometric dimensioning and tolerancing (GD&T). Experience with offline programming software is preferred. Minimum Physical Requirements and Accountability: Work often involves extended periods of standing, walking, and performing repetitive or physically demanding tasks. Effective verbal communication and hearing are essential for maintaining safety, receiving instructions, and coordinating with team members in person, over radios, or through alarms. Both fine motor skills (e.g., handling small components, precision work) and gross motor skills (e.g., operating tools and heavy equipment) are critical. Visual acuity is required for reading blueprints, measuring materials, performing precision work, and maintaining situational awareness; near, far, and peripheral vision may all be needed. Must be able to work in a variety of environments, including indoor and outdoor settings, as well as dusty, loud, hot, cold, or potentially hazardous areas. Tasks may involve bending, stooping, reaching overhead or below shoulder height, crouching, kneeling, climbing ladders or ramps, and maintaining balance on uneven surfaces. Must be able to work at heights, in confined spaces, or in other challenging physical locations as required by the task. Must be able to lift, carry, push, or pull up to 50 lbs independently. Must comply with all company policies and procedures. Consistent, punctual attendance during core business hours is essential. Reliable transportation is required for commuting and occasional travel between local corporate offices and job sites during business hours. All employees are accountable for safety and health and are empowered to stop work if an unsafe condition is present. Employees should immediately notify their supervisor so that the hazard may be corrected. What Sets RK Industries Apart Safety: Our unmatched culture of safety is our foremost core value, guiding everything we do each day: Health, Safety, & Environmental Awards: Whether in Construction, Manufacturing, Fabrication, or Service, RK Industries is highly recognized and accredited throughout the industry: Accreditations & Recognition Benefits: RK Industries offers competitive benefits to support your growth and well-being: Benefits & Rewards Philanthropy: RK Industries not only builds our community through our projects, but also invests in it by supporting local services for over a decade through the RK Foundation: RK Foundation Development: Through RK University, we provide hands-on training and development opportunities that empower employees to advance their careers and grow within the company, to include leadership and technical learning opportunities, we well as our accredited apprentice program: RK University & RK Apprenticeship Program Applications are accepted on an ongoing basis.

Job Description Job Description Position Summary: The Robotic Welding Programmer is responsible for programming, configuring, and optimizing robotic welding systems to produce high-quality welded products safely and efficiently. This role troubleshoots robotic welding systems and works closely with engineering, quality, and production teams to support manufacturing operations. Primary Responsibilities: Program and optimize robotic welding systems for new and existing products. Create, modify, and troubleshoot robot programs using teach pendants and offline programming software where applicable. Develop weld paths, torch angles, travel speeds, and welding parameters to ensure quality and productivity. Set up robotic welding cells for new product launches and engineering changes. Troubleshoot robot programming, welding quality, and equipment issues. Optimize cycle times while maintaining safety and product quality. Perform robot backups, software updates, and program documentation. Collaborate with engineering to design fixtures and improve manufacturability. Support preventive maintenance and equipment calibration activities. Analyze weld quality and implement corrective actions for defects. Train operators and technicians on proper robot operation and basic troubleshooting. Read and interpret engineering drawings, GD&T, weld symbols, and specifications. Support continuous improvement initiatives using Lean manufacturing principles. Ensure compliance with safety standards, company policies, and customer requirements. Perform other duties as required or assigned. Qualifications: High school diploma or GED required; associate degree or technical certification in robotics, welding, manufacturing, or a related field preferred. 3-5 years of robotic welding programming experience in a manufacturing environment. Experience with MIG (GMAW) and/or TIG (GTAW) welding processes. Experience programming one or more robotic platforms. Knowledge of robotic welding power sources. Strong understanding of robotic programming principles and motion optimization. Knowledge of welding metallurgy and welding procedures. Ability to troubleshoot robot hardware, software, sensors, and welding equipment. Ability to interpret blueprints, weld symbols, and geometric dimensioning and tolerancing (GD&T). Experience with offline programming software is preferred. Minimum Physical Requirements and Accountability: Work often involves extended periods of standing, walking, and performing repetitive or physically demanding tasks. Effective verbal communication and hearing are essential for maintaining safety, receiving instructions, and coordinating with team members in person, over radios, or through alarms. Both fine motor skills (e.g., handling small components, precision work) and gross motor skills (e.g., operating tools and heavy equipment) are critical. Visual acuity is required for reading blueprints, measuring materials, performing precision work, and maintaining situational awareness; near, far, and peripheral vision may all be needed. Must be able to work in a variety of environments, including indoor and outdoor settings, as well as dusty, loud, hot, cold, or potentially hazardous areas. Tasks may involve bending, stooping, reaching overhead or below shoulder height, crouching, kneeling, climbing ladders or ramps, and maintaining balance on uneven surfaces. Must be able to work at heights, in confined spaces, or in other challenging physical locations as required by the task. Must be able to lift, carry, push, or pull up to 50 lbs independently. Must comply with all company policies and procedures. Consistent, punctual attendance during core business hours is essential. Reliable transportation is required for commuting and occasional travel between local corporate offices and job sites during business hours. All employees are accountable for safety and health and are empowered to stop work if an unsafe condition is present. Employees should immediately notify their supervisor so that the hazard may be corrected. What Sets RK Industries Apart Safety: Our unmatched culture of safety is our foremost core value, guiding everything we do each day: Health, Safety, & Environmental Awards: Whether in Construction, Manufacturing, Fabrication, or Service, RK Industries is highly recognized and accredited throughout the industry: Accreditations & Recognition Benefits: RK Industries offers competitive benefits to support your growth and well-being: Benefits & Rewards Philanthropy: RK Industries not only builds our community through our projects, but also invests in it by supporting local services for over a decade through the RK Foundation: RK Foundation Development: Through RK University, we provide hands-on training and development opportunities that empower employees to advance their careers and grow within the company, to include leadership and technical learning opportunities, we well as our accredited apprentice program: RK University & RK Apprenticeship Program Applications are accepted on an ongoing basis.

Job Description Job Description Family Advocacy Program Assistant About CICONIX: CICONIX LLC is a Veteran Owned Small Business specializing in business advisory and technical assistance for military health programs. We value exceptional people, unwavering integrity, inclusive collaboration, and enduring impact. . Location(s): Anchorage, Alaska JBER Air Force Base . Position Offers: Full-time/long-term position Regular weekly hours () No calls, nights, weekends, or holidays! Full benefit program, including: health, PTO, and 401k + contribution . Requirements: Associate's Degree High proficiency in Microsoft Office Summary: Join our dynamic team as a Family Advocacy Program Assistant (FAPA)! As a key member, you'll manage government data systems, ensuring accurate maltreatment data entry. Your role extends to providing administrative and computer support for programs like Maltreatment Intervention and New Parent Support. Collaborating with the Family Advocacy Officer, you'll contribute to data management, compile statistics, and assist in research initiatives. If you're passionate about prevention, you'll work closely with the prevention team, offering services, briefings, and educational presentations to diverse audiences. Join us in making a difference in the lives of military families! Apply now for a rewarding career that combines administrative skills with a commitment to family well-being. . About the Role: The FAPA is a member of the multidisciplinary Family Advocacy Program (FAP) team and is responsible for providing administrative, technical, and prevention services. Administratively, the FAPA is responsible for the maintenance of the government's automated data collection systems, including the FAPNet. The FAPA shall ensure that maltreatment data is entered into FAPNet. FAPAs shall not enter clinical data into FAPNet, treatment providers are responsible for entering clinical data. The FAPA shall provide administrative and computer support to The Maltreatment Intervention, New Parent Support Program (NPSP), and Outreach components via FAPNet, and other software programs, as well as managing computer resources. The FAPA, in conjunction with the Family Advocacy Offer (FAO) who leads the FAP team, shall manage data to provide information regarding patient satisfaction, recidivism, and clinical outcome measures. The FAPA shall compile statistical data, prepare minutes, agendas, and notification letters in accordance with FAP Standards, and other written communication as requested by the FAO. The FAPA shall assist in the research and evaluation program by administering data collection assessment instruments to individuals referred to the FAP. The FAPA shall process and score instruments initially and on a follow-up basis as specified by the FAO or Air Force FAP. The FAPA shall assist the FAOM and FAIS in administering, scoring and maintaining secondary prevention program measurement instruments in support of the Outreach Program. The FAPA shall work in collaboration with the prevention team to: Provide supportive services to NPSP clients under the oversight of the NPSP case manager. The FAPA may accompany a Family Advocacy Nurse (FAN), Family Advocacy Treatment Manager (FATM), Family Advocacy Intervention Specialist (FAIS), and Family Advocacy Officer (FAO) to a home visit upon occasion. Assist the FAIS with scheduling and preparation for the Outreach Prevention Management Council (OPMC) and will record and finalize OPMC minutes. Provide prevention services, briefings, educational presentations, and activities targeted to installation leadership, active duty and family members, community, and base agencies. Community prevention activities shall be coordinated with the FAO and the FAIS. In the absence of a Family Advocacy Intervention Specialist (FAIS), the FAPA may provide orientation and annual training to Squadron Commanders and First Sergeants as directed by the FAO. The FAPA shall not provide Special Needs Identification and Assignment Coordination Services (formerly EFMP services), to include administrative support or relocation clearances. When a FAPA has direct contact with Family Advocacy maltreatment clients or clients with open NPSP records, a note will be made in the record within 72 hours of client contact and reviewed by a provider to determine if co-signature is required. FAPAs shall not conduct intake interviews with FAP clients. When a FAPA has contact with NPSP clients, a contact note shall be created in the 'contact notes' section in the NPSP module in FAPNet . Qualifications: Education: Associate degree in Education or Teacher Certification Program, Social Behavior, Human Behavior, or Health Care. Experience: Developing an education curriculum with learning objectives and outcomes are essential. It is critical the FAPA have a high proficiency in Microsoft Office and various database and software programs. Security & Background Check: Ability to obtain and maintain a government security clearance. Additional Requirements: Willingness to comply with the government vaccination requirements, reflected of CDC guidelines, for diseases including Hepatitis B, measles, mumps, rubella, varicella, influenza, and proof of a negative TB skin test. This requirement is for any Family Advocacy Program personnel working with MTFs and requires personnel to receive the annual influenza vaccination. CICONIX LLC is an Equal Opportunity Employer, including disability/vets. We E-Verify all employees.

Job Description Job Description Job Title: Data Center Technician 4 10-hour Shifts - Nights, Specific Days TBD Location: On-Site, Reporting to Ashburn, VA Pay Rate: $60/hr. W2. Benefits available Position Type: Multi-year Contract Description The Data Center Technician will coordinate, monitor, administer, and service technical environments. The role completes implementations, carries out integration activities, and provides operational support for technical environments. A Network Administrator Operator manages and maintains an organization's network infrastructure, ensuring security and performance Experience with routers, switches, and firewalls Strong problem-solving and communication skills Basic Purpose - Network and Server Installations and Maintenance Provide on-site technical support for the client's data center and equipment to ensure continuous availability. Perform troubleshooting, escalations, and resolve incidents and problems when detected. Interface with various support teams and vendors to ensure appropriate resolution during system outages or periods of reduced performance. Able to innovate and make decisions on his/her own but also know how to take direction when it is given, paying attention to all details involved. Responsibilities Network installation & maintenance (rack & stack, cabling, parts replacement, etc.) - Basic/Routine Server installation & maintenance (rack & stack, HDD, memory, CPU, RAID batteries, NICs, etc.) - Basic/Routine Data Center staging, deployment, and logistics/asset management support - Basic/Routine Site builds & refreshes, while meeting current quality standards- Basic/Routine Data Center hardware break/fix/move/add/change ; component replacement, hardware troubleshooting- Basic/Routine Extensive enterprise cable installation experience as well as industry cabling standards- Basic/Routine Ability to provide adequate fiber and copper cable testing with minimal supervision- Basic/Routine Ability to terminate Cat 6 cabling- Basic/Routine Create/update/maintain rack elevations within a DCIM application (Nlyte) -Participates in Maintain inventory control and documentation on systems and components to ensure updates occur according to schedule and procedure -Participates in Troubleshoot and escalate incidents and problems- Basic/Routine Interface with other ISD areas and/or vendors to resolve outages or periods of reduced performance, in accordance with established criteria- Basic/Routine Provide status reports on active or resolved issues -Participates in Maintain, configure, and perform preventative maintenance to various network and data center equipment to ensure efficient operations- Basic/Routine Experience with out-of-band management/KVM system (DSVIEW) - Basic/Routine Experience with power distribution units (PDUs), load management - Basic/Routine Familiar with NEMA and IEC power connectors- Basic/Routine Familiar with Data Center containment solutions- Basic/Routine Work with others to update and document procedures -Participates in Write and maintain detailed site reference documentation -Participates in Cognizant of Data Center Safety Standards - Basic/Routine Lift equipment weighing 50 lbs. - Basic/Routine Perform other tasks or duties as assigned or based on need- Basic/Routine Qualifications - knowledge, skills, and abilities Intermediate Data Center / IT Operations experience Software & Hardware tools utilized to perform day-to-day Data Center functions Knowledge of LAN/WAN topologies, protocols, and standards Must exhibit excellent communication and grammatical skills Demonstrated analytical and problem-solving skills Ability to work in an environment that operates 24/7 with an ability to participate in on-call rotation and provide after-hours support as needed Ability to work independently and as part of a team Ability to work under pressure (urgent problems, deadlines, changing priorities) Familiar with network cabling (types, distance limitations, testing, connectors, handling) Familiar with electrical & optical transceivers (SFP+, QSFP+, GLCT, DAC, CFP2, DWDM) Familiar with server hardware and components Familiar with electrical standards, connector types, power budget calculations, AC vs. DC, single-phase vs. three-phase, etc. Familiar with datacenter design in relation to heat dissipation and airflow Meticulous and obsessive about organized cabling Detail-oriented and organized Desired Bachelor's degree in Information Technology or the equivalent combination of training, education, and experience Experience and technical training in WAN/LAN communications including experience installing, basic configuring, and maintaining Cisco routers and switches Experience in presenting technical solutions and/or recommendations Knowledge of electronic principles as they relate to diagnosing and troubleshooting IT system issues Knowledge of technical inter-relationships between software/hardware and desktop/LAN/Host systems Advanced skill in diagnosing and troubleshooting issues Advanced research, analytical, and problem-solving skills Knowledge of client 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. Ref: