Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Job Summary As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved. As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks. Responsibilities • Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization. • Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed. • Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses. • Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR). • Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases. • Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production. • Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation. • Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations. • Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical workstreams. • Lead investigations and forensic analysis for escalated incidents and provide hands-on incident response support across on-premises and cloud environments. • Own post-incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements. • Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness. • Define and report detection and incident-response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness. • Mentor analysts and engineers, fostering a culture of continuous learning across AI-augmented and incident-response workflows, and promote an AI-first operating model across the SOC. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience • 7+ years of combined experience across security operations, incident response, and software engineering • Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered • Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing • Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks • Experience with SOAR/automation and detection engineering (detection-as-code) • Data engineering skills, including working with large security datasets, APIs, and pipelines • Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL • Cloud security and cloud-platform experience • Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10 • Ability to translate fluently between security and engineering stakeholders. Preferred Qualifications • MLOps experience deploying and maintaining models in production • Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.
09/26/2026
Full time
Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Job Summary As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved. As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks. Responsibilities • Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization. • Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed. • Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses. • Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR). • Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases. • Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production. • Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation. • Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations. • Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical workstreams. • Lead investigations and forensic analysis for escalated incidents and provide hands-on incident response support across on-premises and cloud environments. • Own post-incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements. • Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness. • Define and report detection and incident-response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness. • Mentor analysts and engineers, fostering a culture of continuous learning across AI-augmented and incident-response workflows, and promote an AI-first operating model across the SOC. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience • 7+ years of combined experience across security operations, incident response, and software engineering • Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered • Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing • Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks • Experience with SOAR/automation and detection engineering (detection-as-code) • Data engineering skills, including working with large security datasets, APIs, and pipelines • Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL • Cloud security and cloud-platform experience • Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10 • Ability to translate fluently between security and engineering stakeholders. Preferred Qualifications • MLOps experience deploying and maintaining models in production • Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.
Job Description Job Description Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies. Position Overview Pantheon Data is seeking an experienced Technical Lead Developer to support Civil Engineering and/or Cybersecurity initiatives through Power Platform development, process automation, dashboard creation, and data management solutions. This role will focus on modernizing workflows, maintaining applications and databases, supporting project prioritization efforts, and delivering technical training and stakeholder enablement. The ideal candidate will have strong application development and automation experience, excellent problem-solving skills, and the ability to collaborate effectively across multidisciplinary teams. Responsibilities Provide technical development and implementation support for Civil Engineering and/or mission support processes through Power Platform workflow development, process automation, data management, application strategy, and Machine Learning enablement. Provide support to include maturing the current technical design approach, documenting functional specifications (e.g., governance, permission groups, workflows, standard coding, etc.), maintaining databases, training content and lessons learned. Provide recommendations for innovative process updates, if identified, to combine disparate processes where applicable. Provide technical coding, implementation, development, training, and stakeholder enablement for modernized project prioritization efforts. Provide support to sustain and maintain mobile applications, dashboards, databases, process automations, Application Programming Interface, automated workflows, Power Queries, chatbots developed on Power Platform. Required Skills and Experience Bachelor of Arts or Bachelor of Science in Management, Engineering, or Business/Financial/IT related field. Technical development certification: CompTIA or equivalent/similar IT certification. 10+ years of application development and database management experience. 5+ years automation, and dashboard development experience. Expertise (Civil Engineering, Cybersecurity) on data management, strategic priorities, and cyber strategy. Excellent analytical, problem-solving, and communication skills. Ability to work independently and collaboratively with multidisciplinary teams. Ability to work effectively remotely in cross-functional teams. Ability to meet deadlines and produce quality work. Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint. Preferred Skills and Experience Experience supporting DHS or USCG. Technical leadership and mentorship with solution-oriented creativity. Strong documentation and knowledge sharing within an agile project management environment. Team collaboration across tech and engineering that can have adaptability to emerging technologies. Patience and empathy in training and enablement. Clearance Requirements Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Ability to obtain Public Trust prior to hire and maintain during employment is required. Work Location: Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.) Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site. If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements. Compensation The salary range for this position is $100,000 - $190,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity. In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at or by phone . This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster
09/26/2026
Full time
Job Description Job Description Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies. Position Overview Pantheon Data is seeking an experienced Technical Lead Developer to support Civil Engineering and/or Cybersecurity initiatives through Power Platform development, process automation, dashboard creation, and data management solutions. This role will focus on modernizing workflows, maintaining applications and databases, supporting project prioritization efforts, and delivering technical training and stakeholder enablement. The ideal candidate will have strong application development and automation experience, excellent problem-solving skills, and the ability to collaborate effectively across multidisciplinary teams. Responsibilities Provide technical development and implementation support for Civil Engineering and/or mission support processes through Power Platform workflow development, process automation, data management, application strategy, and Machine Learning enablement. Provide support to include maturing the current technical design approach, documenting functional specifications (e.g., governance, permission groups, workflows, standard coding, etc.), maintaining databases, training content and lessons learned. Provide recommendations for innovative process updates, if identified, to combine disparate processes where applicable. Provide technical coding, implementation, development, training, and stakeholder enablement for modernized project prioritization efforts. Provide support to sustain and maintain mobile applications, dashboards, databases, process automations, Application Programming Interface, automated workflows, Power Queries, chatbots developed on Power Platform. Required Skills and Experience Bachelor of Arts or Bachelor of Science in Management, Engineering, or Business/Financial/IT related field. Technical development certification: CompTIA or equivalent/similar IT certification. 10+ years of application development and database management experience. 5+ years automation, and dashboard development experience. Expertise (Civil Engineering, Cybersecurity) on data management, strategic priorities, and cyber strategy. Excellent analytical, problem-solving, and communication skills. Ability to work independently and collaboratively with multidisciplinary teams. Ability to work effectively remotely in cross-functional teams. Ability to meet deadlines and produce quality work. Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint. Preferred Skills and Experience Experience supporting DHS or USCG. Technical leadership and mentorship with solution-oriented creativity. Strong documentation and knowledge sharing within an agile project management environment. Team collaboration across tech and engineering that can have adaptability to emerging technologies. Patience and empathy in training and enablement. Clearance Requirements Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Ability to obtain Public Trust prior to hire and maintain during employment is required. Work Location: Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.) Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site. If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements. Compensation The salary range for this position is $100,000 - $190,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity. In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at or by phone . This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster
Job Description Job Description (ID: ) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Axle is seeking an IT Operations Technical Lead to oversee and optimize hybrid cloud and on-premise infrastructure. This role combines hands-on technical leadership with ITIL-based operations, automation, and incident management. The ideal candidate brings deep Linux expertise and a focus on reliability, scalability, and modern workloads like AI/ML. Responsibilities: Lead and manage IT operations aligned with ITIL processes including Incident, Problem, Change, and Release Management Provide hands-on leadership in managing Linux and Windows environments across cloud and on-premises infrastructure Own and drive incident response, root cause analysis, and service restoration for mission-critical systems Design, build, and maintain golden images, patching strategies, and system hardening standards Lead patch management and vulnerability remediation programs ensuring compliance and system integrity Develop and implement automation solutions using modern approaches including Vibe Coding (AI-assisted development) to accelerate operational efficiency and reduce toil Support and optimize infrastructure for AI/ML workloads, including provisioning, scaling, and performance tuning Manage and maintain GPU-enabled environments and instances for high-performance computing and machine learning use cases Oversee and optimize infrastructure monitoring, logging, alerting, and observability frameworks Manage and mentor a team of systems engineers; provide technical guidance and performance oversight Collaborate with architecture, security, and development teams to improve reliability, scalability, and operational efficiency Support hybrid environments including cloud platforms and on-premise data centers Ensure proper documentation, runbooks, SOPs, and operational readiness Stay abreast of new technologies in your areas but not limited to US Federal Standards, NIST Publications, cloud computing & deployment, site reliability engineering, security standards and compliance best practices etc. Requirements: Must have 5+ years of experience leading operations team with hands-on experience in driving operational process improvements and technological advancements. Proven experience implementing and operating within ITIL frameworks Must have 10+ years of hands-on Unix/Linux experience that includes specific technical experience with CentOS / Red Hat systems administration support for large scale distributed environments Hands-on experience with incident management, patching, system hardening, and production support Experience building and maintaining golden images and standardized environments Strong scripting/automation skills (e.g., Python, Bash, PowerShell or similar) Experience with configuration management and automation tools (Ansible, Terraform, Puppet, Chef, or similar) Strong understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing) Experience with monitoring and logging tools (e.g., Nagios, Splunk, ELK, Prometheus, Grafana) Must have Cloud Build-Out or Migration experience in at least one of the following providers Amazon AWS, Google GCP and Microsoft Azure Must have 2+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub Experience supporting AI/ML workloads or data-intensive platforms Familiarity with GPU-based compute environments (e.g., NVIDIA GPU instances) Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project Knowledge of security best practices and compliance frameworks such as NIST 800-53, FedRAMP, FISMA etc. are preferred Certifications such as ITIL, Linux, AWS, Azure, or Kubernetes (CKA/CKAD) is preferred Networking certifications (CCNA/CCNP) are a plus Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Salary Range $150,000-$170,000 USD
09/26/2026
Full time
Job Description Job Description (ID: ) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Axle is seeking an IT Operations Technical Lead to oversee and optimize hybrid cloud and on-premise infrastructure. This role combines hands-on technical leadership with ITIL-based operations, automation, and incident management. The ideal candidate brings deep Linux expertise and a focus on reliability, scalability, and modern workloads like AI/ML. Responsibilities: Lead and manage IT operations aligned with ITIL processes including Incident, Problem, Change, and Release Management Provide hands-on leadership in managing Linux and Windows environments across cloud and on-premises infrastructure Own and drive incident response, root cause analysis, and service restoration for mission-critical systems Design, build, and maintain golden images, patching strategies, and system hardening standards Lead patch management and vulnerability remediation programs ensuring compliance and system integrity Develop and implement automation solutions using modern approaches including Vibe Coding (AI-assisted development) to accelerate operational efficiency and reduce toil Support and optimize infrastructure for AI/ML workloads, including provisioning, scaling, and performance tuning Manage and maintain GPU-enabled environments and instances for high-performance computing and machine learning use cases Oversee and optimize infrastructure monitoring, logging, alerting, and observability frameworks Manage and mentor a team of systems engineers; provide technical guidance and performance oversight Collaborate with architecture, security, and development teams to improve reliability, scalability, and operational efficiency Support hybrid environments including cloud platforms and on-premise data centers Ensure proper documentation, runbooks, SOPs, and operational readiness Stay abreast of new technologies in your areas but not limited to US Federal Standards, NIST Publications, cloud computing & deployment, site reliability engineering, security standards and compliance best practices etc. Requirements: Must have 5+ years of experience leading operations team with hands-on experience in driving operational process improvements and technological advancements. Proven experience implementing and operating within ITIL frameworks Must have 10+ years of hands-on Unix/Linux experience that includes specific technical experience with CentOS / Red Hat systems administration support for large scale distributed environments Hands-on experience with incident management, patching, system hardening, and production support Experience building and maintaining golden images and standardized environments Strong scripting/automation skills (e.g., Python, Bash, PowerShell or similar) Experience with configuration management and automation tools (Ansible, Terraform, Puppet, Chef, or similar) Strong understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing) Experience with monitoring and logging tools (e.g., Nagios, Splunk, ELK, Prometheus, Grafana) Must have Cloud Build-Out or Migration experience in at least one of the following providers Amazon AWS, Google GCP and Microsoft Azure Must have 2+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub Experience supporting AI/ML workloads or data-intensive platforms Familiarity with GPU-based compute environments (e.g., NVIDIA GPU instances) Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project Knowledge of security best practices and compliance frameworks such as NIST 800-53, FedRAMP, FISMA etc. are preferred Certifications such as ITIL, Linux, AWS, Azure, or Kubernetes (CKA/CKAD) is preferred Networking certifications (CCNA/CCNP) are a plus Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Salary Range $150,000-$170,000 USD
Job Description Job Description Mission Summary: We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. What You'll Be Doing: Team Leadership & Management: Build, lead, and manage a high-performing team of full stack web engineers. Define team goals, priorities, and roadmap in alignment with company objectives. Provide technical guidance, mentorship, and career development opportunities to team members. Technical Strategy & Execution: Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets. Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market. Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company. Cross-functional Collaboration: Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. What We're Looking For: Experience: BS or MS in Computer Science or related field 8+ years of professional experience in building web applications 3+ years of experience in a technical lead or management role Extensive experience with building web applications for search and data curation needs. Extensive experience with API and query federation technologies such as GraphQL or AWS Athena. Technical Skills: Strong programming skills in Typescript and Python. Strong knowledge of modern frontend technologies such React. Strong knowledge of building REST and gRPC based services, ideally in Python. Prior experience with building web applications for engineering or machine learning needs Bonus Points (not required): Prior experience in autonomous vehicles (AV) is a plus. Prior experience with Bazel based build systems. Prior experience with developing frontend workflows using LLMs. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $200,000-$275,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
09/26/2026
Full time
Job Description Job Description Mission Summary: We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on leader, blending deep technical expertise in data systems and infrastructure with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvements. What You'll Be Doing: Team Leadership & Management: Build, lead, and manage a high-performing team of full stack web engineers. Define team goals, priorities, and roadmap in alignment with company objectives. Provide technical guidance, mentorship, and career development opportunities to team members. Technical Strategy & Execution: Define the technical vision and strategy for building services and web platforms for storing and searching metadata and forming datasets. Define AI adoption strategy for frontend codebase and UX projects to speed up development and time to market. Identify and evaluate cutting-edge technologies and methodologies for querying through datasets stored in various types of databases (think images in vector store, metadata in Postgres, etc) and APIs owned by several teams across the company. Cross-functional Collaboration: Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. What We're Looking For: Experience: BS or MS in Computer Science or related field 8+ years of professional experience in building web applications 3+ years of experience in a technical lead or management role Extensive experience with building web applications for search and data curation needs. Extensive experience with API and query federation technologies such as GraphQL or AWS Athena. Technical Skills: Strong programming skills in Typescript and Python. Strong knowledge of modern frontend technologies such React. Strong knowledge of building REST and gRPC based services, ideally in Python. Prior experience with building web applications for engineering or machine learning needs Bonus Points (not required): Prior experience in autonomous vehicles (AV) is a plus. Prior experience with Bazel based build systems. Prior experience with developing frontend workflows using LLMs. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $200,000-$275,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment
09/26/2026
Full time
Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment
Job Description Job Description Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation: $60.00 - $120,000.00 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: None specified Overview Leave placeholder text here for recruiter to input Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. Refactor and modularize ML codebases to enhance reusability, maintainability, and performance. Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades. Integrate with existing model serving frameworks to support testing, deployment, and rollback processes. Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency. Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices. Build near real-time ML pipelines using Kafka and Spark Streaming. Work with AWS and SageMaker MLOps ecosystem. Requirements 6+ years of experience in software engineering, data engineering, or MLOps roles. Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow. Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning. Experience with CI/CD pipelines and best practices in ML environments. Hands-on experience with monitoring tools for ML pipeline health and performance. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering). Experience contributing to or building internal MLOps frameworks/platforms. Familiarity with SLURM clusters or other distributed job schedulers. Exposure to Kafka, Spark Streaming, or other real-time data processing technologies. Understanding of ML lifecycle management, including versioning, deployment, and drift detection. 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: Pittsburgh
09/26/2026
Full time
Job Description Job Description Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation: $60.00 - $120,000.00 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: None specified Overview Leave placeholder text here for recruiter to input Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. Refactor and modularize ML codebases to enhance reusability, maintainability, and performance. Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades. Integrate with existing model serving frameworks to support testing, deployment, and rollback processes. Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency. Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices. Build near real-time ML pipelines using Kafka and Spark Streaming. Work with AWS and SageMaker MLOps ecosystem. Requirements 6+ years of experience in software engineering, data engineering, or MLOps roles. Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow. Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning. Experience with CI/CD pipelines and best practices in ML environments. Hands-on experience with monitoring tools for ML pipeline health and performance. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering). Experience contributing to or building internal MLOps frameworks/platforms. Familiarity with SLURM clusters or other distributed job schedulers. Exposure to Kafka, Spark Streaming, or other real-time data processing technologies. Understanding of ML lifecycle management, including versioning, deployment, and drift detection. 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: Pittsburgh
Job Description Job Description Information Technology / Operations Disclaimer : Be cautious and only respond to emails from our domain. We will never ask for sensitive information, such as bank account details, SSN, etc., via email. If you receive any communication asking for such information, it is not from Mesa. For any concerns, or to verify the authenticity of a message, please contact us through our official channels. The AI Technical Lead helps turn approved AI opportunities into practical, secure, and measurable business solutions. This role evaluates use cases, shapes solution architecture, guides prototypes, coordinates delivery, and prepares AI capabilities for operational use while partnering with IT and governance and control functions on policy, approval, and risk decisions. What You Will Do Lead AI intake discussions, clarify business needs, and define expected outcomes and success measures. Evaluate priority workflows for business value, feasibility, data readiness, integration needs, complexity, and supportability. Design AI solution approaches, reusable patterns, integrations, human review points, and operating requirements. Evaluate AI platforms, models, vendors, and products, including security and third-party risk considerations. Build or guide proofs of concept and validate accuracy, reliability, usability, cost, and technical fit. Coordinate development, testing, deployment readiness, access, support, release activities, and operational monitoring. Support governance reviews with recommendations, evidence, status updates, and escalation of material technical risks. Maintain the AI roadmap and backlog, align delivery priorities, and help teams use approved AI capabilities effectively. What We Are Looking For 7+ years in technology leadership, software delivery, technical program management, enterprise architecture, data science, or a related field. 3+ years delivering or evaluating enterprise AI, machine learning, analytics, or LLM-enabled solutions. Proficiency in Python and SQL, with experience using cloud AI services, LLM platforms, APIs, integrations, solution architecture, and AI delivery data patterns. Experience moving solutions from feasibility assessment and proof of concept through testing, implementation, monitoring, and support. Ability to work across multiple business units, IT, cybersecurity, data governance, privacy, legal, vendor, and governance teams while explaining technical decisions clearly. Bachelor's degree in Computer Science, Engineering, Data Science, Data Analytics, Information Technology, or a related field. Preferred Experience Master's degree in a relevant technical or analytical field. Experience with Azure AI, Microsoft Copilot, Azure OpenAI, or similar enterprise AI platforms. Experience with MLOps or LLMOps, including evaluation, observability, reliability, lifecycle management, and cost control. Working knowledge of responsible AI, NIST AI RMF, privacy, security, and enterprise risk processes. What Success Looks Like Success in this role means AI opportunities are assessed consistently, high-impact workflows are prototyped and validated, and approved solutions move through a disciplined path from prototype to production. The right candidate will help ensure AI capabilities are reliable, measurable, supportable, cost-aware, and adopted effectively by the business. Notice to External Search Firms: Mesa Associates, Inc. and its subsidiaries do not accept unsolicited resumes and will not be obligated to pay a placement fee for unsolicited resumes. Mesa Associates, Inc. Talent Acquisition engages with approved search firms directly for specific hiring needs.
09/26/2026
Full time
Job Description Job Description Information Technology / Operations Disclaimer : Be cautious and only respond to emails from our domain. We will never ask for sensitive information, such as bank account details, SSN, etc., via email. If you receive any communication asking for such information, it is not from Mesa. For any concerns, or to verify the authenticity of a message, please contact us through our official channels. The AI Technical Lead helps turn approved AI opportunities into practical, secure, and measurable business solutions. This role evaluates use cases, shapes solution architecture, guides prototypes, coordinates delivery, and prepares AI capabilities for operational use while partnering with IT and governance and control functions on policy, approval, and risk decisions. What You Will Do Lead AI intake discussions, clarify business needs, and define expected outcomes and success measures. Evaluate priority workflows for business value, feasibility, data readiness, integration needs, complexity, and supportability. Design AI solution approaches, reusable patterns, integrations, human review points, and operating requirements. Evaluate AI platforms, models, vendors, and products, including security and third-party risk considerations. Build or guide proofs of concept and validate accuracy, reliability, usability, cost, and technical fit. Coordinate development, testing, deployment readiness, access, support, release activities, and operational monitoring. Support governance reviews with recommendations, evidence, status updates, and escalation of material technical risks. Maintain the AI roadmap and backlog, align delivery priorities, and help teams use approved AI capabilities effectively. What We Are Looking For 7+ years in technology leadership, software delivery, technical program management, enterprise architecture, data science, or a related field. 3+ years delivering or evaluating enterprise AI, machine learning, analytics, or LLM-enabled solutions. Proficiency in Python and SQL, with experience using cloud AI services, LLM platforms, APIs, integrations, solution architecture, and AI delivery data patterns. Experience moving solutions from feasibility assessment and proof of concept through testing, implementation, monitoring, and support. Ability to work across multiple business units, IT, cybersecurity, data governance, privacy, legal, vendor, and governance teams while explaining technical decisions clearly. Bachelor's degree in Computer Science, Engineering, Data Science, Data Analytics, Information Technology, or a related field. Preferred Experience Master's degree in a relevant technical or analytical field. Experience with Azure AI, Microsoft Copilot, Azure OpenAI, or similar enterprise AI platforms. Experience with MLOps or LLMOps, including evaluation, observability, reliability, lifecycle management, and cost control. Working knowledge of responsible AI, NIST AI RMF, privacy, security, and enterprise risk processes. What Success Looks Like Success in this role means AI opportunities are assessed consistently, high-impact workflows are prototyped and validated, and approved solutions move through a disciplined path from prototype to production. The right candidate will help ensure AI capabilities are reliable, measurable, supportable, cost-aware, and adopted effectively by the business. Notice to External Search Firms: Mesa Associates, Inc. and its subsidiaries do not accept unsolicited resumes and will not be obligated to pay a placement fee for unsolicited resumes. Mesa Associates, Inc. Talent Acquisition engages with approved search firms directly for specific hiring needs.
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
09/26/2026
Full time
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
Job Description Job Description Principal AI Engineer Summary: Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales-to ensure high-quality performance and delivery. Develop which are LLMs designed to solve our customers' business problems in areas such as fraud, collections, financial services operations, financial education software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks. Communicating to high-level stakeholders internally and externally. Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques. Guide and mentor scientists to support their career development. Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas. Requirements: Excellent software engineering skills, experience in Python, Rust and/or C++. Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion). Real-world experience with distributed systems and concurrency. Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation. Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects. MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields. Requires full-time, on-site presence at the office in San Diego, CA. Willingness to travel up to 10%.
09/26/2026
Full time
Job Description Job Description Principal AI Engineer Summary: Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales-to ensure high-quality performance and delivery. Develop which are LLMs designed to solve our customers' business problems in areas such as fraud, collections, financial services operations, financial education software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks. Communicating to high-level stakeholders internally and externally. Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques. Guide and mentor scientists to support their career development. Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas. Requirements: Excellent software engineering skills, experience in Python, Rust and/or C++. Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion). Real-world experience with distributed systems and concurrency. Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation. Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects. MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields. Requires full-time, on-site presence at the office in San Diego, CA. Willingness to travel up to 10%.
Job Description Job Description Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team. Position details Title of position: Principal Machine Learning Engineer Position type: Full time Location: Seattle, WA Position reports to: Director of Software Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time About the Position: Position : Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data Experience : 10+ Years Seattle, WA - Hybrid Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. Required Skills & Expertise: Degree in mathematics/computer science or related discipline. 10+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations. 6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries. Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI. Proficient in Docker, Kubernetes, and modern CI/CD practices. 4+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud). Experience as a mentor, tech lead or leading an engineering team. Preferred Qualifications: MS or PhD in Computer Science or equivalent experience in ML. Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.). Experience with NoSQL and document databases. Proven ability to handle big data, optimize workflows, and improve system performance. Come work with a team of highly talented engineers, and advance with us to achieve new heights every day! Equal Employment Opportunity Extreme Networks, Inc. is an Equal Opportunity Employer. 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. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply. This role offers a market competitive salary with an anticipated base compensation range of 150,000 to 200,000 USD. Actual compensation will depend on the selected candidate's experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance based bonus and the full benefits package described below. Benefits and total rewards: Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include: Medical, dental, and vision insurance Flexible work schedules and work-from-home opportunities where role permits Paid time off, including open time off in eligible markets and statutory leave in all markets Paid holidays in accordance with local practice Retirement savings programs, including RRSP matching in Canada Employee Stock Purchase Program, where eligible Employee assistance program Tuition reimbursement, where eligible Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/26/2026
Full time
Job Description Job Description Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team. Position details Title of position: Principal Machine Learning Engineer Position type: Full time Location: Seattle, WA Position reports to: Director of Software Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time About the Position: Position : Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data Experience : 10+ Years Seattle, WA - Hybrid Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. Required Skills & Expertise: Degree in mathematics/computer science or related discipline. 10+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations. 6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries. Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI. Proficient in Docker, Kubernetes, and modern CI/CD practices. 4+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud). Experience as a mentor, tech lead or leading an engineering team. Preferred Qualifications: MS or PhD in Computer Science or equivalent experience in ML. Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.). Experience with NoSQL and document databases. Proven ability to handle big data, optimize workflows, and improve system performance. Come work with a team of highly talented engineers, and advance with us to achieve new heights every day! Equal Employment Opportunity Extreme Networks, Inc. is an Equal Opportunity Employer. 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. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply. This role offers a market competitive salary with an anticipated base compensation range of 150,000 to 200,000 USD. Actual compensation will depend on the selected candidate's experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance based bonus and the full benefits package described below. Benefits and total rewards: Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include: Medical, dental, and vision insurance Flexible work schedules and work-from-home opportunities where role permits Paid time off, including open time off in eligible markets and statutory leave in all markets Paid holidays in accordance with local practice Retirement savings programs, including RRSP matching in Canada Employee Stock Purchase Program, where eligible Employee assistance program Tuition reimbursement, where eligible Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Zoox's Network Security team architects and defends the digital borders of the company - from corporate offices to engineering labs and product/mission environments. As a Network Security Engineer, you will design, implement, and operate security controls across Zoox's enterprise, OT networks, and cloud infrastructure spanning on-premises data centers and public cloud environments (AWS, GCP), partnering closely with Network Engineering, IT, Product Security, and Software Engineering teams. In This Role, You Will Design, implement, and maintain secure hybrid/multi-cloud network architectures (AWS/GCP, CloudWAN); enforce zero-trust access controls and network segmentation across corporate, data center, lab, and edge environments; develop and maintain related policies, standards, and architecture diagrams Own and operate next-generation firewall platforms (Palo Alto Networks, Fortinet), managing policy architecture, segmentation, NAT, URL filtering, SSL/TLS decryption, and threat prevention tuning Architect, operate, and own the lifecycle of secure remote access solutions (VPN, ZTNA, site-to-site tunnels), ensuring high availability, certificate-based authentication, and integration with identity providers (SAML, Entra ID) Drive automation and Infrastructure-as-Code (IaC) using Terraform, Python, CI/CD, and REST APIs for configuration management, firewall policies, and security baselines; integrate LLM-based tools to streamline operational tasks and reduce manual toil Oversee security operations including 24/7 network security monitoring, traffic analysis, threat detection, vulnerability assessments, and remediation; support compliance requirements by conducting security reviews for new projects and infrastructure changes Drive 802.1X/certificate-based Network Access Control (NAC) initiatives across wired and wireless environments Collaborate with team members and contribute to cross-functional security initiatives with Product Security, SRE, IT, and Software Engineering teams Qualifications 6+ years of network security engineering experience securing enterprise, cloud, and OT/lab environments Platform Expertise: Deep, hands-on expertise in next-gen firewalls (Palo Alto, Fortinet), AWS NFW, WAFs, IDS/IPS, NAC/802.1X, PKI, VPN, and ZTNA solutions (Zscaler, Netskope, Prisma Access, or equivalent) Technical Knowledge: Strong understanding of core network protocols (TCP/IP, BGP, OSPF, VLAN, 802.1X, TLS/PKI) and cloud networking security principles (AWS, GCP, or Azure) Automation: Hands-on experience with IaC and automation tooling including Terraform, Python, CI/CD pipelines, and REST APIs Security Operations: Experience with network security monitoring, threat detection, and security operations tooling (SIEM, IDS/IPS, vulnerability management platforms), including integration with network controls Compliance: Proven experience supporting major compliance initiatives (NIST 800-53, CSF 2.0, ISO 27001), including control implementation and evidence collection Bonus Qualifications Experience in autonomous vehicle, robotics, IT/OT or automotive environments Certifications: PCNSE, AWS Security Specialty, CCNA Experience experimenting with or deploying AI/ML-based security capabilities (e.g., anomaly detection, behavioral analytics, LLM-driven copilots) in network or cloud security workflows There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/26/2026
Full time
Job Description Job Description Zoox's Network Security team architects and defends the digital borders of the company - from corporate offices to engineering labs and product/mission environments. As a Network Security Engineer, you will design, implement, and operate security controls across Zoox's enterprise, OT networks, and cloud infrastructure spanning on-premises data centers and public cloud environments (AWS, GCP), partnering closely with Network Engineering, IT, Product Security, and Software Engineering teams. In This Role, You Will Design, implement, and maintain secure hybrid/multi-cloud network architectures (AWS/GCP, CloudWAN); enforce zero-trust access controls and network segmentation across corporate, data center, lab, and edge environments; develop and maintain related policies, standards, and architecture diagrams Own and operate next-generation firewall platforms (Palo Alto Networks, Fortinet), managing policy architecture, segmentation, NAT, URL filtering, SSL/TLS decryption, and threat prevention tuning Architect, operate, and own the lifecycle of secure remote access solutions (VPN, ZTNA, site-to-site tunnels), ensuring high availability, certificate-based authentication, and integration with identity providers (SAML, Entra ID) Drive automation and Infrastructure-as-Code (IaC) using Terraform, Python, CI/CD, and REST APIs for configuration management, firewall policies, and security baselines; integrate LLM-based tools to streamline operational tasks and reduce manual toil Oversee security operations including 24/7 network security monitoring, traffic analysis, threat detection, vulnerability assessments, and remediation; support compliance requirements by conducting security reviews for new projects and infrastructure changes Drive 802.1X/certificate-based Network Access Control (NAC) initiatives across wired and wireless environments Collaborate with team members and contribute to cross-functional security initiatives with Product Security, SRE, IT, and Software Engineering teams Qualifications 6+ years of network security engineering experience securing enterprise, cloud, and OT/lab environments Platform Expertise: Deep, hands-on expertise in next-gen firewalls (Palo Alto, Fortinet), AWS NFW, WAFs, IDS/IPS, NAC/802.1X, PKI, VPN, and ZTNA solutions (Zscaler, Netskope, Prisma Access, or equivalent) Technical Knowledge: Strong understanding of core network protocols (TCP/IP, BGP, OSPF, VLAN, 802.1X, TLS/PKI) and cloud networking security principles (AWS, GCP, or Azure) Automation: Hands-on experience with IaC and automation tooling including Terraform, Python, CI/CD pipelines, and REST APIs Security Operations: Experience with network security monitoring, threat detection, and security operations tooling (SIEM, IDS/IPS, vulnerability management platforms), including integration with network controls Compliance: Proven experience supporting major compliance initiatives (NIST 800-53, CSF 2.0, ISO 27001), including control implementation and evidence collection Bonus Qualifications Experience in autonomous vehicle, robotics, IT/OT or automotive environments Certifications: PCNSE, AWS Security Specialty, CCNA Experience experimenting with or deploying AI/ML-based security capabilities (e.g., anomaly detection, behavioral analytics, LLM-driven copilots) in network or cloud security workflows There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Principal DevSecOps Engineer Clearances Required: Active DoD Secret Location: Huntsville, Alabama, United States Note: This is a contingent listing for a position that is planned to open up in February 2026. Interviews may begin in December or January. Job Description TCS is searching for a Principal Dev/Sec/Ops Engineer to join our strong team supporting our Ground-based Midcourse Defense (GMD) customer in Huntsville, AL. The GMD program is a portion of the Missile Defense Agency's (MDA) system to protect the US and our allies from ballistic missile attack. The selected candidate will use modern development automation and management tools to work in both Linux and Windows environments, in legacy and cloud environments. Responsibilities: Design, develop, deliver, and sustain new and existing cybersecurity technologies in support of further development of the GMD weapon system. Create, modify, and document all enhancements efforts, to include system design documents, standard operating procedures, operations and maintenance manuals/procedures, software development plans, and related documentation. Program design, coding, testing, debugging, and documentation. Recommend and utilize the appropriate programming language for each component or workload based upon performance requirements, supportability, integration with existing components, maintainability, and other selection criteria deemed applicable. Review current systems and analyze business functions or processes to understand the needs for which applications are being designed. Recommend system capabilities and objectives for assigned projects. Conduct quality assurance reviews. Develop all components and services using industry best practices such as test-driven development, centralized source code management, code reviews, and automated testing. Utilize continuous integration / continuous deployment (CI/CD) workflows to the maximum extent possible for all published components. Produce DevOps best practice templates to enable rapid implementation of DevSecOps development workflows. Provide subject matter expertise during the review of potential technologies proposed for integration with the environment. Fully document development efforts using a combination of code comments, project issue tracking, change requests, and formal documentation. Ensure that software deployments minimally impact production workloads running in production environments. Perform analysis and tests, as needed, to aid the design process and to document the end item business functionality and system performance requirements. Identify emerging technologies, alternatives, and standards implementations, such as machine learning (ML) and artificial intelligence (AI), to provide better support for developers and application stakeholders. Required Qualifications: Bachelor's degree in computer science, information systems, Cybersecurity, or a related field with 5 years of experience; OR Master's degree with 3 years of related experience, or 1 years with a PhD. Must have a DOD 8140 IAT Level II certification (ex: Security + CE or CISSP) Strong systems administrator experience, specifically in Windows/Linux Operating Systems environments Experience working with cloud technologies and platforms such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Experience with DevSecOps practices, approaches, requirements, and iteration plans for a largescale classified government system Familiarity and skills in agile software principles, particularly regarding building a plan or roadmap for multiyear program / product Interest and aptitude in developing Infrastructure as code scripts in Terraform and Helm to provision cloud resources Familiarity with configuring and maintaining DevSecOps Continuous Integration/Continuous Deployment (CI/CD) pipeline tools including best practices, automated builds and tests, quality gates, software quality, and CI tools, i.e., Jenkins. Communicates effectively, both internally and externally to team Eager to expand knowledge and continually improve Ability to write or review software code (Java, Python, etc.) US Citizenship and active DoD Secret clearance or higher Must be able to support an in-person, closed-area work environment 100% of the time Preferred Qualifications : Experience with containerization and orchestration tools such as Kubernetes, Docker, and/or other cloud orchestration technologies. Experience with configuration management tools, i.e., Git, GitHub, GitLab, Bitbucket, etc. Experience with branching strategies, gated commits and source-controlled management Programming and scripting experience in a UNIX environment (C++, Perl, Python, Bash, Ruby, Shell, Scripts). Programming and scripting experience in a Windows environment (PowerShell, etc.) Experience with PaaS (Platform as a Service) infrastructure Experience with or basic knowledge of software development (i.e., Java/JavaScript, C++, C#, or any modern object-oriented language) and its life cycles Utilize Agile practices and principles to deliver high quality products and services Atlassian JIRA, Confluence, GitLab/GitHub, Jenkins, and Nexus repository experience Experience with security coding standard best practices, static and dynamic scanning tools, i.e., SonarQube, Fortify, Coverity Experience deploying and maintaining applications on Kubernetes clusters Benefits: Highlights of our benefits include Health/Dental/Vision, 401(k) match, Profit-Sharing, Flexible Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, vacation, sick leave, and maternity/paternity leave. Apply online or visit us at TCS, Inc. is an EEO Employer.
09/26/2026
Full time
Job Description Job Description Principal DevSecOps Engineer Clearances Required: Active DoD Secret Location: Huntsville, Alabama, United States Note: This is a contingent listing for a position that is planned to open up in February 2026. Interviews may begin in December or January. Job Description TCS is searching for a Principal Dev/Sec/Ops Engineer to join our strong team supporting our Ground-based Midcourse Defense (GMD) customer in Huntsville, AL. The GMD program is a portion of the Missile Defense Agency's (MDA) system to protect the US and our allies from ballistic missile attack. The selected candidate will use modern development automation and management tools to work in both Linux and Windows environments, in legacy and cloud environments. Responsibilities: Design, develop, deliver, and sustain new and existing cybersecurity technologies in support of further development of the GMD weapon system. Create, modify, and document all enhancements efforts, to include system design documents, standard operating procedures, operations and maintenance manuals/procedures, software development plans, and related documentation. Program design, coding, testing, debugging, and documentation. Recommend and utilize the appropriate programming language for each component or workload based upon performance requirements, supportability, integration with existing components, maintainability, and other selection criteria deemed applicable. Review current systems and analyze business functions or processes to understand the needs for which applications are being designed. Recommend system capabilities and objectives for assigned projects. Conduct quality assurance reviews. Develop all components and services using industry best practices such as test-driven development, centralized source code management, code reviews, and automated testing. Utilize continuous integration / continuous deployment (CI/CD) workflows to the maximum extent possible for all published components. Produce DevOps best practice templates to enable rapid implementation of DevSecOps development workflows. Provide subject matter expertise during the review of potential technologies proposed for integration with the environment. Fully document development efforts using a combination of code comments, project issue tracking, change requests, and formal documentation. Ensure that software deployments minimally impact production workloads running in production environments. Perform analysis and tests, as needed, to aid the design process and to document the end item business functionality and system performance requirements. Identify emerging technologies, alternatives, and standards implementations, such as machine learning (ML) and artificial intelligence (AI), to provide better support for developers and application stakeholders. Required Qualifications: Bachelor's degree in computer science, information systems, Cybersecurity, or a related field with 5 years of experience; OR Master's degree with 3 years of related experience, or 1 years with a PhD. Must have a DOD 8140 IAT Level II certification (ex: Security + CE or CISSP) Strong systems administrator experience, specifically in Windows/Linux Operating Systems environments Experience working with cloud technologies and platforms such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Experience with DevSecOps practices, approaches, requirements, and iteration plans for a largescale classified government system Familiarity and skills in agile software principles, particularly regarding building a plan or roadmap for multiyear program / product Interest and aptitude in developing Infrastructure as code scripts in Terraform and Helm to provision cloud resources Familiarity with configuring and maintaining DevSecOps Continuous Integration/Continuous Deployment (CI/CD) pipeline tools including best practices, automated builds and tests, quality gates, software quality, and CI tools, i.e., Jenkins. Communicates effectively, both internally and externally to team Eager to expand knowledge and continually improve Ability to write or review software code (Java, Python, etc.) US Citizenship and active DoD Secret clearance or higher Must be able to support an in-person, closed-area work environment 100% of the time Preferred Qualifications : Experience with containerization and orchestration tools such as Kubernetes, Docker, and/or other cloud orchestration technologies. Experience with configuration management tools, i.e., Git, GitHub, GitLab, Bitbucket, etc. Experience with branching strategies, gated commits and source-controlled management Programming and scripting experience in a UNIX environment (C++, Perl, Python, Bash, Ruby, Shell, Scripts). Programming and scripting experience in a Windows environment (PowerShell, etc.) Experience with PaaS (Platform as a Service) infrastructure Experience with or basic knowledge of software development (i.e., Java/JavaScript, C++, C#, or any modern object-oriented language) and its life cycles Utilize Agile practices and principles to deliver high quality products and services Atlassian JIRA, Confluence, GitLab/GitHub, Jenkins, and Nexus repository experience Experience with security coding standard best practices, static and dynamic scanning tools, i.e., SonarQube, Fortify, Coverity Experience deploying and maintaining applications on Kubernetes clusters Benefits: Highlights of our benefits include Health/Dental/Vision, 401(k) match, Profit-Sharing, Flexible Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, vacation, sick leave, and maternity/paternity leave. Apply online or visit us at TCS, Inc. is an EEO Employer.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
09/26/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
09/26/2026
Full time
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
Date Posted: 2026-08-18 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C++, C, or other object-oriented language. Experience with hardware-software integration and embedded system testing. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
09/26/2026
Full time
Date Posted: 2026-08-18 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C++, C, or other object-oriented language. Experience with hardware-software integration and embedded system testing. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Senior Data Engineer / Data Architect Location: Fort Lauderdale, FL Work Arrangement: Fully onsite Employment Type: Direct hire, full-time Role Type: Hands-on individual contributor and technical lead Position Overview We are seeking a Senior Data Engineer / Data Architect to lead the design and hands-on development of our enterprise data foundation. This role will connect data across ERP, CRM, ecommerce, marketing, production, finance, fulfillment, and internal business systems to support trusted reporting, AI initiatives, automation, and internal applications. This is not an architecture-only or advisory position. The successful candidate must have genuine architecture experience and the ability to personally build production-grade data platforms, pipelines, models, integrations, quality controls, and data services from the ground up. The ideal candidate combines strong engineering execution with the ability to define scalable architecture, establish technical standards, and communicate effectively with both technical and business stakeholders. Top Requirements Hands-on experience with Databricks, including Lakehouse architecture, Apache Spark, data pipelines, notebooks, workflows, and production deployments. True data architecture experience, including designing enterprise data platforms, defining systems of record, developing data models, establishing data governance, and making cross-system architecture decisions. Demonstrated success engineering implementations from the ground up, rather than only maintaining or advising on existing solutions. Key Responsibilities Data Architecture Assess the current data environment, including systems, databases, APIs, integrations, reports, scheduled jobs, and data owners. Design and implement a scalable enterprise data architecture supporting reporting, AI, analytics, and internal applications. Define authoritative systems of record for customer, product, order, revenue, inventory, location, marketing, and production data. Establish common data models, identifiers, data contracts, schema standards, retention policies, and integration patterns. Determine appropriate use of batch processing, real-time events, APIs, webhooks, and governed data services. Develop architecture diagrams, technical standards, roadmaps, and implementation plans. Data Engineering and Implementation Build production-grade data pipelines and lakehouse solutions in Databricks. Develop reliable ETL and ELT processes using SQL, Python, Apache Spark, and orchestration tools. Integrate data from ERP, CRM, ecommerce, marketing, manufacturing, finance, and internal applications. Create tested transformations that produce consistent and reusable business data. Build secure APIs and data services for approved reporting, AI, automation, and application use cases. Design systems that handle failures, changing schemas, retries, late-arriving data, and duplicate-processing risks. Establish source control, automated testing, code review, deployment pipelines, and release processes for data engineering work. Data Quality and Reliability Implement automated checks for completeness, accuracy, freshness, duplication, volume changes, and consistency. Reconcile key business measures such as orders, revenue, inventory, customer counts, and production activity across systems. Monitor pipeline performance, failed jobs, delayed data, schema changes, and data-quality incidents. Build alerting, operational dashboards, runbooks, and incident-response processes. Work with source-system owners to correct the root causes of data issues. Governance, Security, and Documentation Establish practical standards for data ownership, classification, access, retention, and approved use. Apply role-based access controls, encryption, audit logging, and appropriate protection for sensitive and confidential information. Maintain clear data definitions, lineage, integration documentation, runbooks, and architecture diagrams. Partner with IT, Legal, Infrastructure, Applications, and business leaders on privacy, security, and compliance requirements. Create governed access patterns that reduce uncontrolled direct access to production systems. Reporting, AI, and Internal Applications Develop trusted, reusable data models for reporting, dashboards, forecasting, and business analysis. Prepare structured and governed data for AI agents, retrieval systems, automations, machine learning, and internal applications. Partner with the Director of AI and internal product teams to accelerate delivery of data and AI use cases. Establish standards for monitoring how applications and AI solutions access and use company data. Cross-Functional Leadership Collaborate with technology, finance, operations, ecommerce, marketing, sales, production, and other business teams. Translate technical data risks into clear business impacts, options, costs, and recommended actions. Review vendor-built integrations for documentation, security, maintainability, and quality. Provide technical leadership and establish standards that improve how teams collect, define, share, and use data. Work independently, set priorities, document decisions, and deliver measurable results. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/26/2026
Full time
Senior Data Engineer / Data Architect Location: Fort Lauderdale, FL Work Arrangement: Fully onsite Employment Type: Direct hire, full-time Role Type: Hands-on individual contributor and technical lead Position Overview We are seeking a Senior Data Engineer / Data Architect to lead the design and hands-on development of our enterprise data foundation. This role will connect data across ERP, CRM, ecommerce, marketing, production, finance, fulfillment, and internal business systems to support trusted reporting, AI initiatives, automation, and internal applications. This is not an architecture-only or advisory position. The successful candidate must have genuine architecture experience and the ability to personally build production-grade data platforms, pipelines, models, integrations, quality controls, and data services from the ground up. The ideal candidate combines strong engineering execution with the ability to define scalable architecture, establish technical standards, and communicate effectively with both technical and business stakeholders. Top Requirements Hands-on experience with Databricks, including Lakehouse architecture, Apache Spark, data pipelines, notebooks, workflows, and production deployments. True data architecture experience, including designing enterprise data platforms, defining systems of record, developing data models, establishing data governance, and making cross-system architecture decisions. Demonstrated success engineering implementations from the ground up, rather than only maintaining or advising on existing solutions. Key Responsibilities Data Architecture Assess the current data environment, including systems, databases, APIs, integrations, reports, scheduled jobs, and data owners. Design and implement a scalable enterprise data architecture supporting reporting, AI, analytics, and internal applications. Define authoritative systems of record for customer, product, order, revenue, inventory, location, marketing, and production data. Establish common data models, identifiers, data contracts, schema standards, retention policies, and integration patterns. Determine appropriate use of batch processing, real-time events, APIs, webhooks, and governed data services. Develop architecture diagrams, technical standards, roadmaps, and implementation plans. Data Engineering and Implementation Build production-grade data pipelines and lakehouse solutions in Databricks. Develop reliable ETL and ELT processes using SQL, Python, Apache Spark, and orchestration tools. Integrate data from ERP, CRM, ecommerce, marketing, manufacturing, finance, and internal applications. Create tested transformations that produce consistent and reusable business data. Build secure APIs and data services for approved reporting, AI, automation, and application use cases. Design systems that handle failures, changing schemas, retries, late-arriving data, and duplicate-processing risks. Establish source control, automated testing, code review, deployment pipelines, and release processes for data engineering work. Data Quality and Reliability Implement automated checks for completeness, accuracy, freshness, duplication, volume changes, and consistency. Reconcile key business measures such as orders, revenue, inventory, customer counts, and production activity across systems. Monitor pipeline performance, failed jobs, delayed data, schema changes, and data-quality incidents. Build alerting, operational dashboards, runbooks, and incident-response processes. Work with source-system owners to correct the root causes of data issues. Governance, Security, and Documentation Establish practical standards for data ownership, classification, access, retention, and approved use. Apply role-based access controls, encryption, audit logging, and appropriate protection for sensitive and confidential information. Maintain clear data definitions, lineage, integration documentation, runbooks, and architecture diagrams. Partner with IT, Legal, Infrastructure, Applications, and business leaders on privacy, security, and compliance requirements. Create governed access patterns that reduce uncontrolled direct access to production systems. Reporting, AI, and Internal Applications Develop trusted, reusable data models for reporting, dashboards, forecasting, and business analysis. Prepare structured and governed data for AI agents, retrieval systems, automations, machine learning, and internal applications. Partner with the Director of AI and internal product teams to accelerate delivery of data and AI use cases. Establish standards for monitoring how applications and AI solutions access and use company data. Cross-Functional Leadership Collaborate with technology, finance, operations, ecommerce, marketing, sales, production, and other business teams. Translate technical data risks into clear business impacts, options, costs, and recommended actions. Review vendor-built integrations for documentation, security, maintainability, and quality. Provide technical leadership and establish standards that improve how teams collect, define, share, and use data. Work independently, set priorities, document decisions, and deliver measurable results. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Job Description Job Title: Automation Engineer Working Pattern: Fulltime Working location: Indianapolis, IN Relocation assistance will be provided if applicable Why Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first. You'll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it's your chance to really shine and contribute to one of the world's most recognized brands and a beacon for engineering excellence. Position Summary: We are looking for an early career engineer who is interested in automation and manufacturing technology and enjoys solving practical engineering problems. You should be comfortable working hands on with equipment, collaborating with others, and learning new technologies. As an Automation Engineer, you will support the development, implementation, and improvement of automation and digital manufacturing technologies within our Indianapolis manufacturing operations. You will work alongside experienced manufacturing, automation, controls, and operations engineers to develop and implement solutions that improve manufacturing capability, safety, quality, cost, delivery, and productivity. This role provides an opportunity to gain practical experience across automation, machine controls, robotics, manufacturing equipment, industrial communications, and digital manufacturing systems. You will be involved throughout the lifecycle of automation projects, from defining requirements and developing solutions through equipment installation, commissioning, validation, and production support. What you will be doing: Support the development, implementation, validation, and continuous improvement of automated manufacturing equipment and processes. Support the definition of automation, controls, and equipment requirements for new and upgraded manufacturing equipment. Assist with the development and implementation of automation projects, including controls, robotics, sensors, machine vision, data collection, and manufacturing systems. Work with experienced engineers, equipment suppliers, and operations teams to install, commission, troubleshoot, and validate new or modified equipment. Support troubleshooting of automation and manufacturing equipment to identify root causes and implement effective corrective actions. Develop and maintain engineering documentation including functional requirements, equipment specifications, control documentation, work instructions, and validation records. Support integration of manufacturing equipment with existing plant networks, IT infrastructure, and digital manufacturing systems. Work with interfacing teams and local technical experts to understand manufacturing processes and deliver effective automation solutions. Support the collection and analysis of manufacturing data to identify opportunities for improved equipment performance, quality, and productivity. Apply engineering principles and structured problem solving techniques to manufacturing and automation challenges. Participate in project planning, equipment reviews, supplier meetings, factory acceptance testing, site acceptance testing, and production readiness activities. Capture and share lessons learned and contribute to the development and implementation of engineering best practices. Ensure all work complies with applicable Rolls-Royce processes, technical standards, health and safety requirements, and regulatory requirements. Work with Manufacturing Engineering, Operations, Maintenance, IT, and other technical teams to support reliable operation of automated manufacturing processes. Develop knowledge of Rolls-Royce manufacturing processes, automation standards, and equipment technologies through hands on project experience and mentoring. Basic Qualifications: Bachelor's degree in Engineering, Engineering Technology, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline and 1+ years' experience Master's degree in Engineering, Engineering Technology, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline PhD in in Engineering, Engineering Technology, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline Willingness to work hands on with manufacturing equipment and automation systems. To be considered for this opportunity, you must be a U.S. Citizen or Permanent Resident. Preferred Requirements Academic or practical experience with PLC programming, industrial controls, robotics, or automation systems. Familiarity with PLC platforms such as Siemens, Rockwell/Allen-Bradley, or similar. Demonstrated ability to analyze problems, develop solutions, and communicate technical information effectively. Exposure to robot programming or industrial robotic systems. Familiarity with electrical schematics, control panels, sensors, actuators, and industrial automation components. Basic understanding of industrial communication protocols and manufacturing networks. Experience with HMI, SCADA, machine vision, data collection, or manufacturing execution systems. Experience with CAD or other engineering software. Familiarity with machine safety principles, risk assessments, guarding, and safety-related controls. Experience troubleshooting mechanical, electrical, controls, or automation problems. Exposure to manufacturing equipment installation, commissioning, validation, or production support. Experience working with equipment suppliers or external engineering partners. Familiarity with structured problem-solving and continuous improvement techniques. Strong communication, organization, and teamwork skills. Demonstrated interest in learning new automation and digital manufacturing technologies. Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It's a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you're driven to grow, to learn, and to make a lasting difference, this is where you belong. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive. Infinite Potential Job Category Manufacturing Engineering Job Posting Date 18 Sept 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $78,918 - $128,242-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements. PandoLogic. Category:Engineering,
09/25/2026
Full time
Job Description Job Title: Automation Engineer Working Pattern: Fulltime Working location: Indianapolis, IN Relocation assistance will be provided if applicable Why Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first. You'll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it's your chance to really shine and contribute to one of the world's most recognized brands and a beacon for engineering excellence. Position Summary: We are looking for an early career engineer who is interested in automation and manufacturing technology and enjoys solving practical engineering problems. You should be comfortable working hands on with equipment, collaborating with others, and learning new technologies. As an Automation Engineer, you will support the development, implementation, and improvement of automation and digital manufacturing technologies within our Indianapolis manufacturing operations. You will work alongside experienced manufacturing, automation, controls, and operations engineers to develop and implement solutions that improve manufacturing capability, safety, quality, cost, delivery, and productivity. This role provides an opportunity to gain practical experience across automation, machine controls, robotics, manufacturing equipment, industrial communications, and digital manufacturing systems. You will be involved throughout the lifecycle of automation projects, from defining requirements and developing solutions through equipment installation, commissioning, validation, and production support. What you will be doing: Support the development, implementation, validation, and continuous improvement of automated manufacturing equipment and processes. Support the definition of automation, controls, and equipment requirements for new and upgraded manufacturing equipment. Assist with the development and implementation of automation projects, including controls, robotics, sensors, machine vision, data collection, and manufacturing systems. Work with experienced engineers, equipment suppliers, and operations teams to install, commission, troubleshoot, and validate new or modified equipment. Support troubleshooting of automation and manufacturing equipment to identify root causes and implement effective corrective actions. Develop and maintain engineering documentation including functional requirements, equipment specifications, control documentation, work instructions, and validation records. Support integration of manufacturing equipment with existing plant networks, IT infrastructure, and digital manufacturing systems. Work with interfacing teams and local technical experts to understand manufacturing processes and deliver effective automation solutions. Support the collection and analysis of manufacturing data to identify opportunities for improved equipment performance, quality, and productivity. Apply engineering principles and structured problem solving techniques to manufacturing and automation challenges. Participate in project planning, equipment reviews, supplier meetings, factory acceptance testing, site acceptance testing, and production readiness activities. Capture and share lessons learned and contribute to the development and implementation of engineering best practices. Ensure all work complies with applicable Rolls-Royce processes, technical standards, health and safety requirements, and regulatory requirements. Work with Manufacturing Engineering, Operations, Maintenance, IT, and other technical teams to support reliable operation of automated manufacturing processes. Develop knowledge of Rolls-Royce manufacturing processes, automation standards, and equipment technologies through hands on project experience and mentoring. Basic Qualifications: Bachelor's degree in Engineering, Engineering Technology, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline and 1+ years' experience Master's degree in Engineering, Engineering Technology, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline PhD in in Engineering, Engineering Technology, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline Willingness to work hands on with manufacturing equipment and automation systems. To be considered for this opportunity, you must be a U.S. Citizen or Permanent Resident. Preferred Requirements Academic or practical experience with PLC programming, industrial controls, robotics, or automation systems. Familiarity with PLC platforms such as Siemens, Rockwell/Allen-Bradley, or similar. Demonstrated ability to analyze problems, develop solutions, and communicate technical information effectively. Exposure to robot programming or industrial robotic systems. Familiarity with electrical schematics, control panels, sensors, actuators, and industrial automation components. Basic understanding of industrial communication protocols and manufacturing networks. Experience with HMI, SCADA, machine vision, data collection, or manufacturing execution systems. Experience with CAD or other engineering software. Familiarity with machine safety principles, risk assessments, guarding, and safety-related controls. Experience troubleshooting mechanical, electrical, controls, or automation problems. Exposure to manufacturing equipment installation, commissioning, validation, or production support. Experience working with equipment suppliers or external engineering partners. Familiarity with structured problem-solving and continuous improvement techniques. Strong communication, organization, and teamwork skills. Demonstrated interest in learning new automation and digital manufacturing technologies. Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It's a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you're driven to grow, to learn, and to make a lasting difference, this is where you belong. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive. Infinite Potential Job Category Manufacturing Engineering Job Posting Date 18 Sept 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $78,918 - $128,242-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements. PandoLogic. Category:Engineering,
The Opportunity: Avantor is seeking a Controls & IIoT Engineer to lead and support automation, integration, and digital transformation initiatives across manufacturing operations in a cGMP-regulated environment. This role is responsible for designing, implementing, and sustaining both traditional control systems and modern Industry 4.0 architectures. As part of a site-wide digital transformation, this position will play a key role in transitioning from paper-based manufacturing processes to fully digital batch records, leveraging Unified Namespace (UNS) architecture, IIoT technologies, and enterprise system integration. This is a full-time position located at our Phillipsburg, NJ office. How you will thrive and create an impact: Automation & Controls Engineering: Design, program, test, and support PLC and HMI systems Develop system requirements and validation documentation (IQ/OQ/PQ) Lead FAT and SAT activities Troubleshoot and optimize equipment and systems Maintain backups and version control Specify instrumentation and controls hardware Industry 4.0 & Digital Transformation: Support transition to digital batch records (EBR) Develop Unified Namespace (UNS) architecture Integrate PLC, IIoT sensors, and edge devices Create scalable and contextualized data models Maintain OT data pipelines Systems Integration & Data Architecture: Integrate PLCs, SCADA, historians, MES, and CMMS Configure MQTT architectures (EMQX) Support Ignition SCADA and migrate Wonderware Integrate Canary, HighByte, Tulip, and eMaint Ensure secure and scalable data flow Continuous Improvement & Data-Driven Operations: Drive improvements using Lean Six Sigma and data Develop dashboards and KPIs Build business cases and ROI models Compliance & Validation: Ensure cGMP and FDA compliance Support 21 CFR Part 11 Execute validation and change control Additional Responsibilities: Oversee large-scale projects and manufacturing process enhancements, ensuring alignment with broader operational and engineering strategies Guides the activities of project teams, providing direction and expertise to ensure successful implementation Solves complex and multifaceted process engineering challenges through in-depth evaluation of variable factors, adapting existing approaches or innovating beyond established methods to create effective solutions Regularly collaborates with and influences management, providing data-driven insights to support decision-making Builds and strengthens relationships with internal stakeholders in R&D, production, and quality and external partners, such as equipment suppliers and regulatory bodies, leveraging persuasive communication to align on manufacturing and engineering objectives What we are looking for: Education: Bachelor's degree in Engineering or related field (preferred) Experience: 4+ years in controls, automation, or integration Additional Qualifications & Core Skills: Allen-Bradley PLCs Ignition SCADA HMI and electrical schematics VFDs and instrumentation Industry 4.0 Skills (Preferred): UNS and MQTT (EMQX) Canary Historian HighByte Intelligence Hub Tulip MES eMaint CMMS IIoT and edge computing Work Environment: Office and manufacturing floor Exposure to machinery and noise May require lifting up to 50 lbs Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! Pay Transparency: The expected pre-tax pay for this position is $97,500.00 - $156,975.00 Actual pay may differ depending on relevant factors such as prior experience and geographic location. EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. For more information about equal employment opportunity protections, please view the Know Your Rights poster . Privacy Policy: We will use the personal information that you have submitted to us in order to consider your application for the relevant role. Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests. 3rd Party Non-Solicitation Policy: By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation. Avantor offers a comprehensive benefits package including medical, dental, and vision coverage, wellness programs, health savings and flexible spending accounts, a 401(k) plan with company match, and an employee stock purchase program. Employees also receive 11 paid holidays, accrue 18 PTO days annually, are eligible for volunteer time off and 6 weeks of 100% paid parental leave (except in states that offer paid family leave). These benefits may not apply to employees covered by a collective bargaining agreement or those subject to other eligibility rules.
09/25/2026
Full time
The Opportunity: Avantor is seeking a Controls & IIoT Engineer to lead and support automation, integration, and digital transformation initiatives across manufacturing operations in a cGMP-regulated environment. This role is responsible for designing, implementing, and sustaining both traditional control systems and modern Industry 4.0 architectures. As part of a site-wide digital transformation, this position will play a key role in transitioning from paper-based manufacturing processes to fully digital batch records, leveraging Unified Namespace (UNS) architecture, IIoT technologies, and enterprise system integration. This is a full-time position located at our Phillipsburg, NJ office. How you will thrive and create an impact: Automation & Controls Engineering: Design, program, test, and support PLC and HMI systems Develop system requirements and validation documentation (IQ/OQ/PQ) Lead FAT and SAT activities Troubleshoot and optimize equipment and systems Maintain backups and version control Specify instrumentation and controls hardware Industry 4.0 & Digital Transformation: Support transition to digital batch records (EBR) Develop Unified Namespace (UNS) architecture Integrate PLC, IIoT sensors, and edge devices Create scalable and contextualized data models Maintain OT data pipelines Systems Integration & Data Architecture: Integrate PLCs, SCADA, historians, MES, and CMMS Configure MQTT architectures (EMQX) Support Ignition SCADA and migrate Wonderware Integrate Canary, HighByte, Tulip, and eMaint Ensure secure and scalable data flow Continuous Improvement & Data-Driven Operations: Drive improvements using Lean Six Sigma and data Develop dashboards and KPIs Build business cases and ROI models Compliance & Validation: Ensure cGMP and FDA compliance Support 21 CFR Part 11 Execute validation and change control Additional Responsibilities: Oversee large-scale projects and manufacturing process enhancements, ensuring alignment with broader operational and engineering strategies Guides the activities of project teams, providing direction and expertise to ensure successful implementation Solves complex and multifaceted process engineering challenges through in-depth evaluation of variable factors, adapting existing approaches or innovating beyond established methods to create effective solutions Regularly collaborates with and influences management, providing data-driven insights to support decision-making Builds and strengthens relationships with internal stakeholders in R&D, production, and quality and external partners, such as equipment suppliers and regulatory bodies, leveraging persuasive communication to align on manufacturing and engineering objectives What we are looking for: Education: Bachelor's degree in Engineering or related field (preferred) Experience: 4+ years in controls, automation, or integration Additional Qualifications & Core Skills: Allen-Bradley PLCs Ignition SCADA HMI and electrical schematics VFDs and instrumentation Industry 4.0 Skills (Preferred): UNS and MQTT (EMQX) Canary Historian HighByte Intelligence Hub Tulip MES eMaint CMMS IIoT and edge computing Work Environment: Office and manufacturing floor Exposure to machinery and noise May require lifting up to 50 lbs Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! Pay Transparency: The expected pre-tax pay for this position is $97,500.00 - $156,975.00 Actual pay may differ depending on relevant factors such as prior experience and geographic location. EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. For more information about equal employment opportunity protections, please view the Know Your Rights poster . Privacy Policy: We will use the personal information that you have submitted to us in order to consider your application for the relevant role. Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests. 3rd Party Non-Solicitation Policy: By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation. Avantor offers a comprehensive benefits package including medical, dental, and vision coverage, wellness programs, health savings and flexible spending accounts, a 401(k) plan with company match, and an employee stock purchase program. Employees also receive 11 paid holidays, accrue 18 PTO days annually, are eligible for volunteer time off and 6 weeks of 100% paid parental leave (except in states that offer paid family leave). These benefits may not apply to employees covered by a collective bargaining agreement or those subject to other eligibility rules.
IT Developer Company Overview Industry: Renewable Energy / Industrial Technology A technology-driven organization focused on innovation, operational excellence, and enterprise digital transformation. The company is investing in advanced data, analytics, and AI solutions to improve business performance and decision-making. Role Overview Position Title: IT Developer Location: Fully Remote Employment Type: Full Time Why is this role open? To support the development of enterprise applications, data solutions, system integrations, and analytics initiatives across the business. Job Description Overview Seeking an IT Developer to design, develop, and support enterprise applications and analytics solutions within a modern data platform environment. This role will focus on application development, data integration, workflow automation, reporting, and AI-enabled solutions that support operational and strategic business objectives. Key Responsibilities Design, develop, deploy, and maintain enterprise applications, workflows, and data products. Build and optimize data pipelines, integrations, and transformation processes. Develop dashboards, reporting solutions, and operational workflows. Collaborate with stakeholders to translate business requirements into technical solutions. Support AI-enabled applications, automation initiatives, and analytics solutions. Troubleshoot application, integration, and data quality issues. Perform testing, deployment, documentation, and ongoing support activities. Maintain data governance, security, and compliance standards. Partner with cross-functional business and technology teams. Create and maintain technical documentation and architecture artifacts. Business Impact This role helps drive digital transformation through improved data visibility, process automation, analytics, and operational efficiency across multiple business functions. Skills Required Skills Bachelor's degree in Computer Science, Information Technology, Information Systems, Software Engineering, Data Analytics, or a related field. 3+ years of experience in software development, application development, data engineering, or enterprise systems development. 2+ years of experience supporting enterprise data platforms, analytics solutions, or digital transformation initiatives. Experience developing integrations between enterprise applications and databases. Strong understanding of software development lifecycle (SDLC) methodologies. Experience with SQL and relational databases. Experience building APIs and system integrations. Understanding of cloud-based architectures and enterprise application design. Knowledge of data modeling, ETL processes, and data governance principles. Experience with Git, DevOps practices, and CI/CD pipelines. Strong troubleshooting, analytical, and problem-solving abilities. Excellent written and verbal communication skills. Ability to work effectively with both technical and non-technical stakeholders. Strong process improvement mindset and ability to manage multiple priorities in a fast-paced environment. Team-oriented approach to solution delivery. Preferred Skills Experience with enterprise data, analytics, or AI platforms. Experience with Python, Java, JavaScript, TypeScript, or similar programming languages. Experience supporting manufacturing, supply chain, industrial, or renewable energy operations. Familiarity with ERP systems such as SAP, Oracle, NetSuite, Microsoft Dynamics, or similar platforms. Experience developing AI, machine learning, predictive analytics, or workflow automation solutions. Experience with reporting and visualization tools. Knowledge of master data management and data governance best practices. Experience working in Agile/Scrum environments. Cultural Fit Collaborative and team-oriented Strong problem solver Continuous learner with interest in emerging technologies Adaptable in a fast-paced environment Business-focused and results-driven Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/25/2026
Full time
IT Developer Company Overview Industry: Renewable Energy / Industrial Technology A technology-driven organization focused on innovation, operational excellence, and enterprise digital transformation. The company is investing in advanced data, analytics, and AI solutions to improve business performance and decision-making. Role Overview Position Title: IT Developer Location: Fully Remote Employment Type: Full Time Why is this role open? To support the development of enterprise applications, data solutions, system integrations, and analytics initiatives across the business. Job Description Overview Seeking an IT Developer to design, develop, and support enterprise applications and analytics solutions within a modern data platform environment. This role will focus on application development, data integration, workflow automation, reporting, and AI-enabled solutions that support operational and strategic business objectives. Key Responsibilities Design, develop, deploy, and maintain enterprise applications, workflows, and data products. Build and optimize data pipelines, integrations, and transformation processes. Develop dashboards, reporting solutions, and operational workflows. Collaborate with stakeholders to translate business requirements into technical solutions. Support AI-enabled applications, automation initiatives, and analytics solutions. Troubleshoot application, integration, and data quality issues. Perform testing, deployment, documentation, and ongoing support activities. Maintain data governance, security, and compliance standards. Partner with cross-functional business and technology teams. Create and maintain technical documentation and architecture artifacts. Business Impact This role helps drive digital transformation through improved data visibility, process automation, analytics, and operational efficiency across multiple business functions. Skills Required Skills Bachelor's degree in Computer Science, Information Technology, Information Systems, Software Engineering, Data Analytics, or a related field. 3+ years of experience in software development, application development, data engineering, or enterprise systems development. 2+ years of experience supporting enterprise data platforms, analytics solutions, or digital transformation initiatives. Experience developing integrations between enterprise applications and databases. Strong understanding of software development lifecycle (SDLC) methodologies. Experience with SQL and relational databases. Experience building APIs and system integrations. Understanding of cloud-based architectures and enterprise application design. Knowledge of data modeling, ETL processes, and data governance principles. Experience with Git, DevOps practices, and CI/CD pipelines. Strong troubleshooting, analytical, and problem-solving abilities. Excellent written and verbal communication skills. Ability to work effectively with both technical and non-technical stakeholders. Strong process improvement mindset and ability to manage multiple priorities in a fast-paced environment. Team-oriented approach to solution delivery. Preferred Skills Experience with enterprise data, analytics, or AI platforms. Experience with Python, Java, JavaScript, TypeScript, or similar programming languages. Experience supporting manufacturing, supply chain, industrial, or renewable energy operations. Familiarity with ERP systems such as SAP, Oracle, NetSuite, Microsoft Dynamics, or similar platforms. Experience developing AI, machine learning, predictive analytics, or workflow automation solutions. Experience with reporting and visualization tools. Knowledge of master data management and data governance best practices. Experience working in Agile/Scrum environments. Cultural Fit Collaborative and team-oriented Strong problem solver Continuous learner with interest in emerging technologies Adaptable in a fast-paced environment Business-focused and results-driven Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
09/25/2026
Full time
Vaco is partnering with a growing education technology organization to hire a Staff / Principal AI Engineer to help define and build the next generation of AI-powered products, platforms, and internal capabilities. This is a highly visible, hands-on technical leadership role focused on bringing practical AI innovation into both customer-facing products and internal business operations. This person will serve as a technical change leader as the organization moves toward broader use of AI agents, generative AI, machine learning, and LLM-powered product experiences. The right candidate will bring strong architecture and engineering depth, but also a product mindset. This role is about building real solutions, teaching teams how to use AI effectively, securing AI-enabled workflows, and identifying where AI can improve customer experience, training products, marketing funnels, and business outcomes. What You'll Be Doing Lead the design, development, and deployment of scalable AI and machine learning solutions across product and internal business use cases Architect generative AI systems, LLM-powered workflows, agentic solutions, and AI-enabled product features Build and optimize LLMOps pipelines that support reliable deployment, evaluation, monitoring, and iteration of AI models Partner with product, architecture, data, engineering, innovation, and marketing teams to identify where AI can create measurable business impact Drive AI innovation within customer-facing products, training platforms, digital experiences, and lead conversion workflows Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval, and model optimization Design AI systems with feedback loops, automated retraining, fine-tuning, and lifecycle management where appropriate Build data pipelines and preprocessing workflows that ensure data quality, security, and regulatory alignment Provide hands-on technical leadership through architecture reviews, code contributions, proof-of-concepts, and implementation guidance Mentor AI engineers and partner with architects across application, product, CRM, and data domains Help establish standards, documentation, and best practices for responsible AI development and deployment Stay current on emerging AI trends, including AI's impact on digital marketing, Answer Engine Optimization, Generative Engine Optimization, and customer discovery behavior Required Experience 8 or more years of progressive experience across software engineering, data, analytics, machine learning, AI engineering, or related technology roles 1 or more years of experience developing and implementing analytical, AI, or machine learning applications Hands-on experience building and deploying LLM-based solutions, generative AI applications, or AI-powered product features Strong understanding of machine learning, natural language processing, large language models, embeddings, retrieval patterns, and model evaluation Experience with Python, SQL, Hugging Face, Snowflake, and modern ML or analytics tooling Experience designing AI or ML solutions in Azure or comparable cloud environments Experience with CI/CD pipelines, Docker, Kubernetes, MLflow, or similar MLOps and lifecycle management tools Ability to translate ambiguous AI opportunities into practical, scalable engineering solutions Strong product mindset with interest in customer experience, product innovation, marketing enablement, and business impact Demonstrated ability to mentor engineers, influence technical direction, and guide best practices Strong communication skills with the ability to present complex AI concepts to technical and non-technical stakeholders Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred, or equivalent professional experience Nice to Have Experience building AI agents or agentic workflows for internal business operations Exposure to AI security, responsible AI, model governance, or securing AI-enabled systems Experience applying AI to online shopping, customer acquisition, digital marketing, or lead conversion workflows Familiarity with Answer Engine Optimization or Generative Engine Optimization concepts Experience with Azure AI services or comparable cloud AI platforms Background working in education technology, training platforms, eCommerce, or digital learning environments Experience helping organizations adopt AI tools, workflows, and operating models across multiple teams Compensation & Benefits Salary range: $170,000 to $190,000 annually Full-time role with benefits package available If you are a hands-on AI engineering leader who wants to build practical generative AI systems, shape product innovation, and help an organization move from AI experimentation to real enterprise adoption, we would welcome the opportunity to connect. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring . click apply for full job details
