326 jobs found

Title Systems Administrator Department Information Technology (IT) Reports to Information Technology Manager SEE YOUR CAREER THROUGH A NEW LENS WITH RPO! RPO is a global leader in precision optics, optical components, and optical assemblies. We specialize in a full spectrum of products & services including - Design and Engineering, Systems Integration, Lens Assembly, Visible and Infrared Components, Glass and Plastic Molded Aspheres, and Thin Film Coating. As one of the fastest growing companies in Rochester, RPO offers exciting career paths and work on market-leading programs. See below one of many career opportunities to join the RPO team! Position Overview Rochester Precision Optics LLC. (RPO) is seeking an experienced Systems Administrator to support the day-to-day operation, stability, and continuous improvement of our enterprise infrastructure supporting approximately 300 users across both corporate and manufacturing operations. Our environment relies on someone who can confidently administer Windows Server, Active Directory, virtualization, and Microsoft 365 while also supporting the network infrastructure that connects it all. The ideal candidate has a strong systems administration foundation with hands-on experience supporting enterprise networking, including switches, firewalls, VLANs, VPNs, and wireless technologies. Working closely with the IT Manager, you'll play a key role in maintaining a secure, reliable, and high-performing IT environment while contributing to infrastructure modernization, cybersecurity initiatives, and strategic technology projects. This is an opportunity for someone who enjoys solving complex infrastructure challenges, takes ownership of their work, and wants to make a measurable impact across the organization. Key Responsibilities: Systems Administration & Infrastructure Management Administer and maintain Windows Server environments, Active Directory, Group Policy, DNS, DHCP, and core Microsoft infrastructure services. Support VMware or Hyper-V virtualization environments, server resources, storage systems, and enterprise backup solutions. Perform system maintenance including patching, upgrades, configuration changes, and troubleshooting. Support Microsoft 365 services including Exchange Online, Teams, and Entra ID. Maintain infrastructure documentation, system standards, and technical procedures. Network Infrastructure Support Support enterprise network infrastructure including switches, firewalls, VPNs, and wireless networks. Troubleshoot VLANs, routing, subnetting, network connectivity, and security controls. Assist with network upgrades, infrastructure expansion projects, and technology improvements. Support network-connected systems including VoIP, security systems, and other enterprise technologies. Security & Operational Support Assist with infrastructure security initiatives, including system hardening, vulnerability remediation, and cybersecurity best practices. Assist with compliance initiatives related to NIST 800-171 and CMMC 2.0. Serve as a Tier II/Tier III escalation resource for complex systems and infrastructure issues. Partner with the IT Manager on infrastructure projects, technology improvements, and long-term planning. Knowledge, Skills, and Abilities: Bachelor's degree in information technology, Computer Science, or a related field preferred, or equivalent combination of education and hands-on experience. 4+ years of experience supporting enterprise IT infrastructure in a Systems Administrator, Infrastructure Administrator, Network Administrator, or similar role. Strong experience administering Windows Server environments, Active Directory, Group Policy, DNS, and DHCP. Experience supporting Microsoft 365 environments, including Exchange Online, Teams, and Entra ID. Experience supporting virtualization platforms such as VMware or Hyper-V. Experience administering and troubleshooting enterprise network infrastructure, including switches, VLANs, firewalls, VPNs, and wireless technologies. Experience supporting enterprise backup solutions, such as Veeam, and disaster recovery. Familiarity with endpoint management, software deployment, and security tools. Strong troubleshooting and problem-solving skills with the ability to independently diagnose and resolve complex technical issues. Ability to effectively communicate technical information and collaborate with both technical and non-technical teams. Preferred Qualifications Experience with cybersecurity frameworks or compliance requirements such as NIST 800-171 or CMMC. Experience with Microsoft Intune, Endpoint Central, or similar endpoint management platforms. PowerShell scripting or automation experience. Experience supporting ERP systems, SQL Server environments, or other business-critical applications. Industry certifications such as Network+, Security+, Microsoft, VMware, or Cisco certifications are a plus! Additional Requirements: Pursuant to ITAR, EAR, and other export compliance laws and regulations, applicants for this position must be U.S. Persons as defined by U.S. law, i.e., U.S. citizens, lawful permanent residents ("Green Card" holders), persons granted refugee status or asylum status in the United States, or temporary residents granted amnesty. Compensation & Benefits: Competitive compensation package linked to your experience and performance. 401(k) with company match and Tuition Reimbursement opportunities. Health, dental, vision, HSA, & life insurance. Paid time off including vacation, sick time, and 11 paid company holidays Work Requirements & Physical Demands: This is an on-site, hands-on IT role supporting both corporate office and manufacturing operations. The Systems Administrator will work in a collaborative environment where technology directly supports critical business and production processes. The role requires regular interaction with computer systems, servers, network equipment, and end-user technology across the organization. Occasional movement throughout the facility may be required to support infrastructure, troubleshoot equipment, and assist with technology deployments. Physical requirements may include: Ability to sit, stand, and work at a computer for extended periods. Ability to walk throughout office and manufacturing areas. Ability to lift, carry, and install IT equipment such as computers, monitors, networking equipment, and related hardware (typically up to 50 lbs.). Ability to work in both office and manufacturing environments while following applicable safety requirements. Occasional after-hours support may be required for scheduled maintenance, upgrades, or critical infrastructure issues. Disclaimer: This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Rochester Precision Optics is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA/Race/Gender/Disability/Veteran In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States, and to complete This is a full-time, on-site position based at our West Henrietta, NY facility. The standard work schedule is Monday through Friday, 7:00 AM to 3:30 PM. Participation in an occasional rotating on-call schedule is required to provide after-hours support for critical infrastructure issues, planned maintenance, and emergency response as needed. Compensation details: 0 Yearly Salary PIbc2cfe6-

Description: At ACE Thermal Systems, we design, engineer, manufacture, and support high-performance environmental control systems (ECS) and components for extreme temperature and operating conditions and reliable everyday use. As your single source, dedicated supplier for bleed air systems, air conditioning systems, cabin pressure control systems, components, and more, the ACE team acts as a key extension of your team, providing intelligent innovation and proven design methodologies to deliver safe, reliable, air control technologies and systems for aircraft. Our mission is to be the trusted source of mission critical products and services for Aerospace and Defense customers. We do this by exceeding customer expectations through innovative products and processes. We are committed to fostering a dynamic, collaborative environment that encourages professional growth and innovation. Position Summary: The Configuration Management Specialist you'll be responsible for configuration management activities across engineering programs. From reviewing every engineering drawing, loading changes into eh change control board, and routing for appropriate approvals. To documenting updates in the right visual systems to drive the right part. This position essentially holds the key to on time and accurate production of our products. In additional you will Support implementation of configuration management processes for engineering change requests and documentation updates. Review and prepare engineering change requests to ensure completeness and adherence to CM procedures. Maintain configuration libraries including source code, engineering documentation, and change request records. Assist in establishing configuration baselines for engineering projects and product documentation. Support development and maintenance of configuration status accounting reports. Ensure documentation and configuration records remain accurate and properly controlled. Participate in audits and reviews to verify compliance with configuration management standards and procedures. Requirements: Required Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, Business,. or related field is highly preferred. 0-2 years of configuration management or engineering support experience is highly preferred. Beginning knowledge of configuration management practices and ITIL frameworks. Proficiency with Microsoft Suite required. Former use of Microsoft Visual is a plus. Ability to be on-site in Seminole, OK 5 days a week, during typical business hours is required. Application Deadline : The position will remain open until filled. Benefits: We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) plan with company match; paid time off (including vacation and company holidays); life and disability insurance; and an employee assistance program. Employees may also be eligible for professional development support, and wellness initiatives. Benefits eligibility and offerings may vary based on position, location, and length of employment. EEO Summary: We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. We are committed to providing reasonable accommodation for individuals with disabilities throughout the application and employment process. If you require assistance or accommodation, please contact us. PIebde-5851

Description: We are seeking a motivated Applications Engineer to support our Skidded Solutions (liquid-filled medium voltage transformers, switchgear cabinets, inverters) in the solar and energy storage industries. The Applications Engineer will be responsible for interfacing with Customers (current and potential) in an effort to achieve revenue growth and customer acquisition objectives set forth by the Company. The Applications Engineer will review customer specifications, assist in determining and understanding client equipment needs, generate quotes, and engage in follow up conversations with the customer regarding open opportunities. The ideal candidate will possess strong technical expertise in mechanical design and practical integration, focusing on the design, optimization, and mechanical integration of structural skids with transformers and switchgear. The candidate will collaborate with cross-functional teams to develop solutions that meet customer requirements, industry standards, and regulatory compliance. This role involves working closely with sales, product management, design engineering, and customers to ensure optimal performance, reliability, and cost-effectiveness. Key Responsibilities : Technical Expertise: • Serve as a technical resource on the mechanical integration and optimization of skidded liquid-filled medium voltage transformers, switchgear cabinets and inverters for solar and energy storage applications. • Provide technical guidance on product selection, specifications, and customization to meet customer requirements. • Analyze technical problems and recommend solutions. Customer Support: • Work directly with customers to understand their needs, address inquiries, and recommend appropriate integrated design solutions. • Prepare and deliver technical presentations and proposals, including customer-facing quotes in support of the sales process. • Support sales with technical training and customer visits. Application Engineering: • Interpret customer specifications and industry standards to create accurate design requirements. • Collaborate with design engineering and manufacturing teams to ensure products are readily manufacturable and meet performance, reliability, and cost targets. • Develop and maintain technical documentation, including drawings, manuals, and data sheets. • Identify value engineering opportunities within integrated designs to optimize cost and capability in support of customer needs Project Support: • Assist in managing multiple projects, ensuring timely delivery of proposals, designs, and support. • Coordinate with supply chain and production teams to address lead times and resource planning. Industry and Standards Compliance: • Stay current with industry standards, codes, and regulations such as IEEE, IEC, UL and ASCE. • Ensure products and applications comply with environmental and safety regulations. Qualifications : • Bachelor's degree in Mechanical Engineering or a related field. • Minimum of 2-5 years of professional experience in application or mechanical design engineering, preferably with mechanical integration of electrical equipment • Experience in the solar or energy storage industries is a plus. • Solid knowledge of mechanical design principles and design for manufacturability • Familiarity with mechanical systems and pre-configured/skidded electromechanical assemblies • Proficiency in Mechanical design software and tools - SolidWorks and/or AutoCAD; FEA modeling a plus Electrical, Control systems and/or data acquisition & field monitoring proficiency a plus Soft Skills: • Strong communication and presentation skills. • Excellent problem-solving abilities and attention to detail. • Ability to work collaboratively in a cross-functional team environment. Certifications: • Professional Engineer (PE) license is a plus. Disclaimer: The statements above are intended to describe the general nature and level of work being performed. They are not an exhaustive list of all responsibilities, duties, or skills required. Forgent Power reserves the right to modify, interpret, or apply this job description as needed. Equal Employment Opportunity Statement: Forgent Power is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class. Requirements: PIc5d3b-9955

Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085

Description: This position will assist the department process engineers and supervisors, and plant management in ensuring the efficiency and effectiveness of all improvement aspects within the electrical and process automation systems. The major role of this job is to focus on continuous improvement and integration of improvement principles, technical and engineering principles, identifying best practices, and act as a change agent to help achieve a higher level of results within the assigned location by maximizing existing technologies and implementing new solutions to processes. This position serves in a material manufacturing automated processes advisory capacity with no direct reports. Serves as a coach to all production and maintenance employees, and plant management. Primary responsibility and accountability rests with higher levels of supervision. Requirements: The major role of this job is to identify opportunities for improvement in processes, products, and production within the electrical and process automation systems. These duties will include the development and implementation of new as well as adjusting existing standards, structures, systems, and equipment. This position is responsible to ensure the efficiency and effectiveness of all improvement aspects within their area of responsibility. Incumbent will be responsible for reaching improvement through the application of the available methods and tools in conjunction with the use of technical and engineering principles. Responsible for coordinating improvement activities directly with the appropriate Superintendent, Supervisors, and staff within the steelmaking process area. Qualifications for this position include a four year college degree in Engineering (Electrical or Electronic preferably) combined with 5 or more years experience in an industrial or manufacturing environment with high level exposure to advanced process and factory automation technologies, standardization and production quality methods. Incumbent must have an extensive knowledge of steel manufacturing methods, techniques and technologies involving the use of heavy mill machinery and related equipment. Previous qualifying experience in scrap processing, melting, casting, rolling, maintenance, finishing, shipping/warehouse operations, and supervisory/facilitation a must. Successful candidate will demonstrate an extensive knowledge of the business system and the use of complex technical and engineering processes. Requires the ability to train people and serve as a coach to employees. The incumbent should possess solid presentation abilities combined with good interpersonal and organizational skills. This position directly reports to the Department Manager. The incumbent will coordinate efforts with the different functional groups both within area of responsibility and other areas of the location. The incumbent would be detail oriented, self-driven and must be comfortable dealing with associates at all levels within the organization. The incumbent will be responsible for the oversight, contribution to, and support of all the automation technologies trainings and development activities for employees of the location. PM19 PI4a99a6c7d67f-9928

Description: CarShield is seeking an experienced Database Administrator to join its growing database team. In this role, you'll be responsible for administering and optimizing our SQL Server environment, ensuring the availability, performance, security, and reliability of critical databases that support our business. You'll work closely with developers and IT teams to implement high-availability solutions, troubleshoot production issues, maintain backup and disaster recovery strategies, and continuously improve database performance and operational efficiency. Administer and monitor SQL Server instances across our on-premises environment Manage Always On Availability Groups, including failover, replica health, and AG job synchronization Own backup/restore strategies and DR testing to ensure RTO/RPO targets are met Performance-tune queries and workloads via execution plans, DMVs, wait stats, and indexing Manage SQL Server security - logins, roles, permissions auditing, and least-privilege enforcement Respond to production incidents, diagnose root causes, and implement durable fixes Collaborate with developers to review schema changes and query patterns before they hit production Monitor and maintain SQL Agent jobs, including Change Data Capture (CDC) Requirements: 5+ years of SQL Server DBA experience in a production environment Hands-on experience administering Always On Availability Groups Strong grasp of performance tuning - execution plans, index strategy, wait statistics Solid understanding of SQL Server security, auditing, and access control Experience with backup/restore, DR planning, and failover procedures Must be able to work on-site in St. Peters, MO 5 days/week Bachelor's in Computer Science, MIS, or equivalent experience Familiarity with Extended Events and Query Store preferred Exposure to Azure SQL or hybrid cloud environments preferred T/SQL Development when needed for project preferred Experience with data engineering and building data pipelines (ETL/ELT) preferred Pay Rate and Benefits Salary commensurate with experience Group Insurance (Medical, Dental, Vision, Life, etc.). 401k with Employer Match. Discounted CarShield policies. Discounted Tuition at Lindenwood University. Professional development opportunities. Basketball, and other recreation available on-site. Fitness facilities, with the option to take classes led by on-staff personal trainer (at St. Peters headquarters). And more! PIe91767eaaf37-3538

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Description: Department : Supply Chain / Procurement Location : Lawrence/Methuen, MA (Production Facility) Employment Type : Full-Time, On-site The Senior Mechanical Buyer coordinates our manufacturing production with our direct materials supply partners. Based at our Lawrence (Methuen line), MA production facility , you will manage high-value mechanical commodities, lead supplier negotiations and supply programs, and ensure raw materials and custom components arrive on schedule. As an on-site procurement expert, you will leverage NetSuite ERP to track purchase orders, analyze material requirements, and maintain clean master data to support our active manufacturing lines. While experience with metal fabrication and plastic molding is highly desirable, a strong foundation in mechanical procurement and ERP systems is key to success in this role. The Senior Buyer is responsible for the procurement and planning of critical manufacturing materials, such as fabricated sheet metal, specialty mechanical components, and plastic moldings. Key duties include supplier management, monitoring inventory levels via MRP tools and planning analysis, and managing supplier relationships to ensure quality and on-time delivery. The role also involves collaborating with production and warehouse teams to resolve delivery and quality issues as well as Service support requirements. Strategic Procurement : Execute purchase orders for custom mechanical components, raw materials, and related direct materials based on NetSuite demand planning. On-Site Collaboration : Work directly alongside our Methuen plant floor, quality team, and engineering staff to rapidly resolve material shortages, dimensional discrepancies, or quality issues. Direct Materials Management : Optimize NetSuite MRP parameters and demand planning to ensure optimal direct material flow. Comfortable with ad hoc demand planning analysis and demand interpretation. Supplier Management : Identify, audit, and onboard supply partners. Manage supplier performance and productivity improvement initiatives. Drawing Interpretation : Review engineering drawings and BOMs to assess supplier manufacturing capability, tolerances, and ensure accurate quoting. Cost Optimization : Lead supplier negotiations, establish long-term pricing agreements, and execute cost-reduction initiatives to improve gross margins. Engineering Alignment : Partner closely with Manufacturing Engineering to manage Engineering Change Orders (ECOs) and prototype sourcing for new product introductions (NPI). Requirements: Education : A Bachelor's degree in Supply Chain, Business Administration, or a related field. Experience : 5+ years of experience in a mechanical Purchasing role, ideally in a small to mid-size manufacturing environment. ERP Proficiency : Mandatory, hands-on experience utilizing NetSuite or a comparable ERP system for inventory management, procurement workflows, and material tracking. Schedule : Ability to work 100% on-site at our Methuen, MA production facility and manage concurrent priorities in a fast-paced, hands-on environment. Data Savvy : Advanced Microsoft Excel skills (VLOOKUPs, Pivot Tables) to synthesize data extracted from NetSuite. Specific Commodity Expertise : Prior experience purchasing custom sheet-metal fabrications (stamping, welding, laser cutting) and plastic molded components (injection molding, rotomolding, thermoforming) preferred. Low-cost Region Sourcing Experience (Particularly Asia and Mexico) preferred. Certifications : APICS (CPIM/CSCP) or ISM (CPM/CPSM) designation preferred. PI994f65ff302f-0749

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Description: This position will assist the department process engineers and supervisors, and plant management in ensuring the efficiency and effectiveness of all improvement aspects within the electrical and process automation systems. The major role of this job is to focus on continuous improvement and integration of improvement principles, technical and engineering principles, identifying best practices, and act as a change agent to help achieve a higher level of results within the assigned location by maximizing existing technologies and implementing new solutions to processes. This position serves in a material manufacturing automated processes advisory capacity with no direct reports. Serves as a coach to all production and maintenance employees, and plant management. Primary responsibility and accountability rests with higher levels of supervision. Requirements: The major role of this job is to identify opportunities for improvement in processes, products, and production within the electrical and process automation systems. These duties will include the development and implementation of new as well as adjusting existing standards, structures, systems, and equipment. This position is responsible to ensure the efficiency and effectiveness of all improvement aspects within their area of responsibility. Incumbent will be responsible for reaching improvement through the application of the available methods and tools in conjunction with the use of technical and engineering principles. Responsible for coordinating improvement activities directly with the appropriate Superintendent, Supervisors, and staff within the steelmaking process area. Qualifications for this position include a four year college degree in Engineering (Electrical or Electronic preferably) combined with 5 or more years experience in an industrial or manufacturing environment with high level exposure to advanced process and factory automation technologies, standardization and production quality methods. Incumbent must have an extensive knowledge of steel manufacturing methods, techniques and technologies involving the use of heavy mill machinery and related equipment. Previous qualifying experience in scrap processing, melting, casting, rolling, maintenance, finishing, shipping/warehouse operations, and supervisory/facilitation a must. Successful candidate will demonstrate an extensive knowledge of the business system and the use of complex technical and engineering processes. Requires the ability to train people and serve as a coach to employees. The incumbent should possess solid presentation abilities combined with good interpersonal and organizational skills. This position directly reports to the Department Manager. The incumbent will coordinate efforts with the different functional groups both within area of responsibility and other areas of the location. The incumbent would be detail oriented, self-driven and must be comfortable dealing with associates at all levels within the organization. The incumbent will be responsible for the oversight, contribution to, and support of all the automation technologies trainings and development activities for employees of the location. PM19 PI17197bbbcd28-9928

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Position: Senior Java Engineer - Microservices & Production Support Location: Fort Worth, Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178605 Job Overview: We are seeking a Senior Java Engineer to design, develop, and support large-scale, production-grade microservices. This role requires strong hands-on experience with Java, Spring Boot, Kafka, and production support, along with the ability to deliver high-quality code, meet project timelines, and troubleshoot complex issues. The engineer will work within DevOps-focused squads to build resilient, scalable, and reliable solutions that support enterprise business needs. Responsibilities: Design, develop, test, document, and maintain Java-based microservices and reusable software components. Build and enhance Spring Boot applications and Kafka-based integrations for scalable, event-driven systems. Provide production support, investigate incidents, perform root-cause analysis, and drive corrective actions through resolution. Write clean, reliable, and maintainable code while following organizational development, testing, and documentation standards. Optimize applications and system designs for performance, resiliency, durability, reliability, and scalability. Collaborate with cross-functional engineering teams to support safe, incremental releases and reduce technical debt. Contribute to CI/CD and DevOps practices, including automated testing, source control, and deployment processes. Coach junior engineers on technical craftsmanship, debugging practices, code quality, and engineering best practices. Evaluate emerging technologies and contribute to solution architecture, prototypes, and continuous improvement initiatives. Work within Agile, DevOps-oriented squads of approximately five to six team members. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline; equivalent experience or training may be considered. 7-9 years of experience designing, developing, and implementing large-scale solutions in production environments. Strong hands-on experience developing microservices using Java and Spring Boot. Hands-on experience with Apache Kafka and event-driven integration patterns. Demonstrated production support experience, including debugging, incident investigation, root-cause analysis, and issue resolution. Strong knowledge of object-oriented design principles, Agile methodologies, and DevOps/CI-CD practices. Ability to deliver quality code, reliably meet project timelines, and communicate technical concepts clearly in writing, verbally, code, and diagrams. Nice to Have Skills and Experience: Experience with PostgreSQL, Redis, Kubernetes, Docker, Git, GitHub Actions, Maven, JUnit, and test automation tools. Experience with REST APIs, GraphQL, cloud platforms such as Azure or AWS, and CI/CD pipelines. Experience with Python, C#, JavaScript/TypeScript, Angular, React, MongoDB, Azure DevOps, Selenium, Postman, SonarQube, Cypress, Cucumber, Playwright, WireMock, or Mockito. Airline industry experience. Interview Process: Two interview rounds: the first interview will be virtual, followed by an onsite hands-on coding interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at

Software Development Engineer-Satellite Storage Health Location: Redmond, WA (Onsite) - first preference will be for local profiles. FTE/Fulltime Salary: Market- Based on candidate exp. PROFILES LESS THAN 10 YEARS OF EXPERIENCE preferred Job Summary: Amazon Leo is seeking a highly skilled Software Development Engineer to join our satellite software platforms team. You will be responsible for the development, maintenance, and operational support of embedded software systems powering over-the-air (OTA) updates and storage management across our low-earth-orbit satellite infrastructure. Key Responsibilities: - Design, develop, test, and deploy embedded software components supporting the OTA Agent platform - Investigate, triage, and resolve complex production software issues across embedded, storage, and platform services; perform root cause analysis and implement corrective actions - Develop new features, enhancements, and bug fixes using Java, Python, and shell scripting within a Linux-based development environment - Collaborate with cross-functional engineering and operational teams through Agile ceremonies including sprint planning, backlog refinement, standups, and retrospectives - Provide technical recommendations supporting platform scalability, reliability, and operational improvements - Contribute to engineering documentation, knowledge transfer materials, and code reviews in accordance with Amazon development standards - Develop and maintain automated testing capabilities supporting SW Provisioning and OTA Agent software releases; drive continuous improvement in test automation coverage. Required Skills: - 7+ years of professional software development experience in industry - Strong proficiency in Java and Python - Solid experience with shell scripting (Bash/sh) - Hands-on working experience with Linux-based development environments (development, debugging, deployment) - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience) - Experience with software testing methodologies and test automation frameworks - Strong problem-solving skills with the ability to investigate and resolve complex production issues - Experience working in Agile/Scrum development environments Preferred Qualifications: - Experience in embedded systems development - Familiarity with C++ and/or Rust programming languages - Experience with over-the-air (OTA) update systems or software deployment pipelines - Background in satellite systems, aerospace, or IoT device platforms - Experience with on-call operations, incident management, and root cause analysis - Knowledge of storage management systems and distributed software deployment - Experience working with mission-critical or safety-critical software systems - Familiarity with CI/CD pipelines and build automation tools

Disney Entertainment & ESPN Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working here: Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Media Engineering Media Engineering is an innovative organization that is focused on providing the best possible video playback experience, art, and metadata to customers around the world, powered by exceptional technology. This strategic work requires streamlining and repurposing technology across different business and distribution channels - including streaming, linear, and theatrical - so that technology can ebb and flow across the needs of the business. Disney Entertainment and ESPN Technology is looking for a Senior Software Engineer to join the Media Security team within the Playback Services, Media Engineering organization! Our mission is to build highly available, high throughput services that are crucial to delivering high quality content to our subscribers. We are responsible for the backend of media rights services for facilitating playback and antipiracy technologies. If you enjoy streaming media, digital rights management, are interested in live sports and entertainment, or just want to join a fast-growing team that plays a significant role in the core functionality of our streaming products, then this role is for you! Responsibilities Work with a team of engineers to build high-performance, stable, scalable systems to be deployed in an enterprise setting Lead high-level architecture discussions and planning sessions, author and share feedback on technical proposals and root cause analyses, and establish standards within the team to drive quality and excellence Participate in the on-call rotation, supporting systems and services during production incidents Provide mentoring and advice for other engineers Participate in the DSS technical community through presentations, tech talks, and other knowledge-sharing efforts Basic Qualifications: Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years related experience crafting backend architectures and delivering backend applications in a production environment. Validated knowledge of operating large-scale high-availability backend services and JVM services Expertise in functional programming patterns and experience building RESTful services (Scala APIs) Understanding of async programming models (events, callbacks, promises, async/await) and threading/concurrency Strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.) and strong understanding of design patterns and principles Experience operating within a Public Cloud Provider (e.g., AWS, Microsoft Azure, Google Cloud) Understanding of source control concepts and systems, CI/CD pipelines and exposure to Git Experience with build and deployment technologies such as Jenkins and Docker. Experience with messaging technologies (e.g., Kafka, Kinesis, SQS, etc.) Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Splunk, Grafana) Knowledge of caching technologies Knowledge of AGILE/Scrum practices. Strong written and verbal communication skills. Self-learner, independent, excellent problem-solving skills The hiring range for this position in New York, NY is $148,700 to $199,400 per year and in Santa Monica, CA, $141,900 - $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Job Summary: The Production Platform Foundations team is a horizontal service team providing both tools and guidance across the organization for operations in AWS. We strive to act as a productivity multiplier, providing consulting and operational support to Application teams to help them drive their adoption of AWS services in conjunction with their existing infrastructure. We work closely with those groups to offer a 'cloud-native' perspective on application architecture, infrastructure, and deployment strategies. A Senior Software Engineer on the Cloud Account Management (CAM) team is a security-focused cloud engineer responsible for designing, building, and supporting automation and tooling initiatives that further enable secure, compliant, self-service ways of working for both the team and the developer base. In addition, this role will provide operational and technical guidance to Application Development (DevOps) teams that are utilizing the AWS environment at Disney Streaming. This position will report to the Engineering Manager and will interact with other Software Engineers in the Cloud Account Management (CAM) team What you'll be doing Write automation tools for your team and other internal teams to self-service, deploy, detect, alert, and mitigate in our AWS environments Build on AWS, including hands-on work with IAM, security policies, and cloud-native services Champion and execute best practices and security standards for operating in the cloud Troubleshoot and implement appropriate IAM permissions for user access and workloads running in AWS Provide guidance and recommendations to development teams on service design and deployments Own initiatives and contribute to future solution designs and planning Be a go-to technical resource on the team, spanning across levels and cross functional teams Monitor and work on inbound issues Qualifications: 5+ years of professional software engineering experience, or equivalent practical experience Strong Python development skills, you write production-quality code, not just scripts Experience with deployment and CI/CD tools - Terraform, GitHub Actions, Spinnaker, and Jenkins. Experience with platform engineering, primarily backend development using Python Experience developing APIs and designing database schemas Hands-on AWS Security/IAM administration and policy-creation experience for many users and workloads Familiarity with Docker and containerization concepts Experience with Unix/Linux systems Exhibit clear, succinct written and verbal communication with technical and non-technical stakeholders. Taking a practical, collaborative approach when working with engineers. Familiarity with operational troubleshooting tools and techniques Nice to have, but not required Experience leveraging AI as a productivity multiplier AWS Certifications Experience supporting DevOps teams in mid-to-large-sized organizations, especially in multitenant environments Familiarity with SSL Certificate management Familiarity with general and AWS-specific networking concepts, including VPC constructs, Firewalling, and DNS The hiring range for this position in Santa Monica, CA and Glendale, CA is $141,900 to $190,300 per year and in New York, NY and Seattle, WA is $148,700 to $199,400 per year and in San Francisco, CA is $155,400 to $208,400. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.