This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. IT Manager - Product Management (IT Boundary Applications and Analytics) Are you a product leader who enjoys connecting business needs with technology solutions and developing high-performing teams? Join our IT Boundary Applications and Analytics team to lead a team of Product Owners responsible for shaping product strategy, modernizing applications, and delivering scalable technology solutions that support the evolving needs of the business. You'll partner across business and technology teams to set priorities, strengthen product and delivery practices, and help drive meaningful transformation across the organization. Location: This is a Hybrid role based out of our HQ location in Newport News, VA, in accordance with our Flex schedule; 3 days office / 2 days remote. Duties and Responsibilities: Manage delivery of the IT and product strategy and roadmap, providing vision and guidance aligned with business goals and priorities. Lead, coach, and develop Product Owners; establish clear expectations, strengthen prioritization and stakeholder-management capabilities, and foster accountability and continuous learning. Partner with business, Product, Architecture, Engineering, UX, Infrastructure, Security, and other IT teams to align objectives, prioritize initiatives, define timelines, and resolve dependencies. Guide the development and standardization of product and IT processes, policies, delivery practices, operational-readiness expectations, and performance metrics. Optimize the design, development, operation, reliability, and support of IT systems and platform capabilities while balancing speed, quality, risk, and technical debt. Drive modernization of legacy applications and delivery of scalable, secure, and maintainable solutions using appropriate modern architectural patterns. Review solution approaches, support sound technical and product decisions, mitigate delivery risks, and remove organizational impediments or escalate issues as needed. Improve delivery predictability, product quality, platform performance, operational excellence, and customer and business outcomes. Organize the preparation of technical and product reports, metrics, roadmaps, and status updates for management and key stakeholders. Lead teams through technology and organizational change while promoting collaboration, innovation, clear communication, and continuous improvement. Adhere to Company compliance and Health, Safety and Environment (HSE) policies, procedures, and requirements. Maintain regular and reliable attendance. Perform other duties as assigned. Qualifications and Requirements: 3+ years of product management, product ownership, technology delivery, or related experience, including 2+ years of people or team leadership experience. Bachelor degree in Computer Science, Engineering, Information Technology, Business, or a related field, or equivalent relevant experience. Experience leading Product Owners or cross-functional technology teams and translating business priorities into product strategy, roadmaps, requirements, and delivery plans. Experience with application modernization, digital transformation, enterprise platforms, or complex technology initiatives. Working knowledge of modern application architectures, APIs, microservices, integrations, cloud-native services, scalability, resiliency, security, and operational support. Experience in Agile product delivery and the ability to evaluate trade-offs among business value, delivery risk, technical debt, and long-term sustainability. Strong leadership, coaching, communication, stakeholder management, problem-solving, and cross-functional collaboration skills. Desired Prior hands-on experience in software development, architecture, engineering, or technical product delivery. Experience leading teams through organizational change, platform modernization, or large-scale transformation. Experience establishing product-delivery metrics, demand-intake practices, operational-readiness standards, or portfolio reporting. Relevant product management, Agile, cloud, technology, or leadership certification. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $7,568.91 - $13,247.76 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information
11/14/2026
Full time
This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. IT Manager - Product Management (IT Boundary Applications and Analytics) Are you a product leader who enjoys connecting business needs with technology solutions and developing high-performing teams? Join our IT Boundary Applications and Analytics team to lead a team of Product Owners responsible for shaping product strategy, modernizing applications, and delivering scalable technology solutions that support the evolving needs of the business. You'll partner across business and technology teams to set priorities, strengthen product and delivery practices, and help drive meaningful transformation across the organization. Location: This is a Hybrid role based out of our HQ location in Newport News, VA, in accordance with our Flex schedule; 3 days office / 2 days remote. Duties and Responsibilities: Manage delivery of the IT and product strategy and roadmap, providing vision and guidance aligned with business goals and priorities. Lead, coach, and develop Product Owners; establish clear expectations, strengthen prioritization and stakeholder-management capabilities, and foster accountability and continuous learning. Partner with business, Product, Architecture, Engineering, UX, Infrastructure, Security, and other IT teams to align objectives, prioritize initiatives, define timelines, and resolve dependencies. Guide the development and standardization of product and IT processes, policies, delivery practices, operational-readiness expectations, and performance metrics. Optimize the design, development, operation, reliability, and support of IT systems and platform capabilities while balancing speed, quality, risk, and technical debt. Drive modernization of legacy applications and delivery of scalable, secure, and maintainable solutions using appropriate modern architectural patterns. Review solution approaches, support sound technical and product decisions, mitigate delivery risks, and remove organizational impediments or escalate issues as needed. Improve delivery predictability, product quality, platform performance, operational excellence, and customer and business outcomes. Organize the preparation of technical and product reports, metrics, roadmaps, and status updates for management and key stakeholders. Lead teams through technology and organizational change while promoting collaboration, innovation, clear communication, and continuous improvement. Adhere to Company compliance and Health, Safety and Environment (HSE) policies, procedures, and requirements. Maintain regular and reliable attendance. Perform other duties as assigned. Qualifications and Requirements: 3+ years of product management, product ownership, technology delivery, or related experience, including 2+ years of people or team leadership experience. Bachelor degree in Computer Science, Engineering, Information Technology, Business, or a related field, or equivalent relevant experience. Experience leading Product Owners or cross-functional technology teams and translating business priorities into product strategy, roadmaps, requirements, and delivery plans. Experience with application modernization, digital transformation, enterprise platforms, or complex technology initiatives. Working knowledge of modern application architectures, APIs, microservices, integrations, cloud-native services, scalability, resiliency, security, and operational support. Experience in Agile product delivery and the ability to evaluate trade-offs among business value, delivery risk, technical debt, and long-term sustainability. Strong leadership, coaching, communication, stakeholder management, problem-solving, and cross-functional collaboration skills. Desired Prior hands-on experience in software development, architecture, engineering, or technical product delivery. Experience leading teams through organizational change, platform modernization, or large-scale transformation. Experience establishing product-delivery metrics, demand-intake practices, operational-readiness standards, or portfolio reporting. Relevant product management, Agile, cloud, technology, or leadership certification. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $7,568.91 - $13,247.76 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
LexisNexis Legal & Professional
Raleigh, North Carolina
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to lead the development of next-generation AI-powered legal solutions that help professionals draft, reason, and work more effectively with complex legal information? Do you thrive at the intersection of people leadership, large language models, retrieval-augmented generation, and product innovation, turning emerging AI capabilities into meaningful customer outcomes ? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components. You'll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants, capable of contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines. Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 6 years of post-degree experience, with 3+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
11/14/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to lead the development of next-generation AI-powered legal solutions that help professionals draft, reason, and work more effectively with complex legal information? Do you thrive at the intersection of people leadership, large language models, retrieval-augmented generation, and product innovation, turning emerging AI capabilities into meaningful customer outcomes ? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures. This role will focus on improving LLM-powered drafting and retrieval solutions through advanced search, embeddings, reranking, evaluation, and production-grade ML components. You'll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants, capable of contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines. Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 6 years of post-degree experience, with 3+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
Job Description About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We've been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Preferred Location: Charlotte, NC Experience Level: 10+ Years of Experience Role purpose: Design, develop and harden a Universal Gateway that connects conversational AI agents to enterprise applications. The Gateway will manage conversation state, enforce business rules, execute authorized backend operations and return the data and guidance needed by the conversational agent. Key responsibilities: Design and implement Gateway APIs used by Google CXAS agents, including session initialization, journey resolution, state transitions and business-operation execution. Implement an external state engine covering current journey, active state, required information, pending actions, customer confirmation and completion status. Define versioned journey configurations, transition rules, policies and state-specific response guidance. Ensure the Gateway validates actions proposed by an agent against current state, identity, authorization and business rules. Develop adapters for customer backend systems using approved API contracts. Implement timeouts, retries, idempotency, concurrency controls and recovery from partial failures. Persist session state and audit records with appropriate isolation, retention and protection of customer data. Implement authentication, authorization, secrets management and service-to-service security. Provide correlated traces showing the incoming request, policy decision, state before and after, backend operation and response. Integrate automated tests and AgentCert evidence into the development workflow. Package and deploy services to the agreed Google Cloud environment, including Cloud Run where selected. Produce API documentation, architecture decisions, operational runbooks and handover material. Required skills: Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework. REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation. Practical experience implementing workflow engines, finite-state machines or business-process orchestration. Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries. Experience with persistent data stores and session management. Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management. Enterprise API integration and automated unit, integration and contract testing. Understanding of LLM tool calling and the distinction between model-generated intent and authorized business execution. Git, code reviews and CI/CD. Preferred skills: Telecom billing & background, customer service or service-restoration processes. Integration with Google CXAS or another conversational AI platform. Agent evaluation, failure injection, load testing and observability. Experience replacing synthetic adapters with enterprise backend integrations. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a leader of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
11/14/2026
Full time
Job Description About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We've been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Preferred Location: Charlotte, NC Experience Level: 10+ Years of Experience Role purpose: Design, develop and harden a Universal Gateway that connects conversational AI agents to enterprise applications. The Gateway will manage conversation state, enforce business rules, execute authorized backend operations and return the data and guidance needed by the conversational agent. Key responsibilities: Design and implement Gateway APIs used by Google CXAS agents, including session initialization, journey resolution, state transitions and business-operation execution. Implement an external state engine covering current journey, active state, required information, pending actions, customer confirmation and completion status. Define versioned journey configurations, transition rules, policies and state-specific response guidance. Ensure the Gateway validates actions proposed by an agent against current state, identity, authorization and business rules. Develop adapters for customer backend systems using approved API contracts. Implement timeouts, retries, idempotency, concurrency controls and recovery from partial failures. Persist session state and audit records with appropriate isolation, retention and protection of customer data. Implement authentication, authorization, secrets management and service-to-service security. Provide correlated traces showing the incoming request, policy decision, state before and after, backend operation and response. Integrate automated tests and AgentCert evidence into the development workflow. Package and deploy services to the agreed Google Cloud environment, including Cloud Run where selected. Produce API documentation, architecture decisions, operational runbooks and handover material. Required skills: Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework. REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation. Practical experience implementing workflow engines, finite-state machines or business-process orchestration. Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries. Experience with persistent data stores and session management. Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management. Enterprise API integration and automated unit, integration and contract testing. Understanding of LLM tool calling and the distinction between model-generated intent and authorized business execution. Git, code reviews and CI/CD. Preferred skills: Telecom billing & background, customer service or service-restoration processes. Integration with Google CXAS or another conversational AI platform. Agent evaluation, failure injection, load testing and observability. Experience replacing synthetic adapters with enterprise backend integrations. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a leader of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
We are seeking a Senior Robotics Software Engineer to serve as the technical lead for the software of robotic automation projects from early concept through commissioning. In this role you will define the software problems to be solved, break them into well-scoped work for other team members, and act as the go-to technical resource for the project team, while remaining hands-on in the hardest technical work: cell-level motion planning, 3D vision, calibration, and system integration. Responsibilities Serve as the technical lead for the software of robotic automation projects from feasibility through deployment, translating loosely defined needs into software requirements, acceptance criteria, and a technical plan with identified risks and mitigations. Define software problems and break project scope into well-scoped tasks with clear requirements, interfaces, and acceptance criteria; assign them to other team members based on their skills and development needs; and track progress, review deliverables, and integrate the results into a working system. Serve as the primary technical consultant for the project team, including technical discussions with customers, unblocking others and guiding their approach rather than defaulting to doing the work yourself. Help develop software effort estimates for projects and proposals based on technical scope and risk, and flag early when technical findings change those estimates. Architect the project application in C#, .NET, WPF, and MVVM on top of the common software platform, defining module boundaries, interfaces, and test strategy, and set project-level conventions consistent with company standards. Lead robot integration for the cell on Fanuc and other 6-axis industrial robots, including multi-robot and external-axis coordination and the communication architecture between robots, PLCs, sensors, and cell software. Decide which device-integration components for cameras, laser profilometers, ultrasonic probes, PLCs, motor controllers, and digital I/O become reusable across projects, and define the integration patterns other engineers follow. Own motion planning for the full cell, including trajectory generation, collision avoidance, and offline programming, and resolve tradeoffs between reach, cycle time, accuracy, and process quality across subsystems. Lead 3D vision and localization for the cell, including point-cloud processing and vision-guided robot correction, and ensure the vision, calibration, and motion subsystems work together to meet system-level accuracy. Define accuracy and cycle-time error budgets for robotic cells, own calibration methods for robot, tool, camera, and workpiece frames, and design the validation tests that prove the system meets its requirements. Implement and verify the software side of cell safety, including Fanuc DCS or equivalent safe zones, speed limits, and safety I/O, in coordination with the controls team and the cell risk assessment. Drive cell-level performance and reliability, including communication timing between robots and devices, fault handling and recovery, and diagnostics that make field issues traceable. Lead on-site commissioning and troubleshooting independently, make technical decisions in the field, drive root-cause analysis when automated systems underperform, and communicate technical impacts to the project team. Mentor other team members through design reviews, code reviews, and pairing on difficult integration problems. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field; Master's degree is a plus. 9+ years of professional software development experience, with a substantial portion in industrial robotics or automation. Expert-level C# and object-oriented design skills, with a record of building and maintaining production applications. Deep experience with .NET, Dependency Injection, WPF, and MVVM, including making architecture decisions for multi-module applications. Experience setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git. Strong applied mathematics, including linear algebra, coordinate transformations, kinematics, and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc, ABB, KUKA, Yaskawa, or similar) in delivered systems, including multi-robot or external-axis cells. Demonstrated experience delivering motion planning and collision avoidance for complete robotic cells. Practical experience with machine vision using OpenCV, Cognex, Keyence, or comparable tools, including 3D vision and point-cloud processing. Track record integrating sensors, PLCs, motion controllers, and industrial communication protocols, and designing the communication architecture for a robotic cell. Led the software on at least two delivered robotic systems from concept through customer acceptance. Experience leading the technical work of a small team, including problem definition, task breakdown, delegation, and review of other engineers' work. Experience developing software effort estimates from technical scope and risk. Experience configuring robot safety functions such as Fanuc DCS; familiarity with ISO 10218 or ANSI/RIA R15.06 is a plus. Experience with robotic simulation and offline programming software, such as FANUC ROBOGUIDE, and with CAD-based path generation is a plus. Clear technical communication, including documenting design decisions and explaining tradeoffs to the project team and customers. This position is a strong fit for an experienced engineer who wants to lead the technical side of complete robotic systems, solve the hardest integration problems hands-on, and help other engineers grow. The Company: Viable Engineering Solutions is a world-class concept-to-completion center for the industrial market. We take Research and Development to the next level providing rapid prototyping, robotics, automation, and non-destructive testing solutions in our state-of-the-art concept-to-completion facility. We are located in Orlando in the heart of the Central Florida Research Park. Affirmative Action / Equal Opportunity Employer Statement: Viable Engineering Solutions is an Equal Opportunity Employer and takes affirmative action to employ and advance qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. In compliance with federal law, we encourage qualified individuals with disabilities and protected veterans to apply. Reasonable accommodations are available upon request. As a federal contractor, Viable is committed to complying with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA). Compensation details: 60 Yearly Salary PI4290e1765b72-6301
11/14/2026
Full time
We are seeking a Senior Robotics Software Engineer to serve as the technical lead for the software of robotic automation projects from early concept through commissioning. In this role you will define the software problems to be solved, break them into well-scoped work for other team members, and act as the go-to technical resource for the project team, while remaining hands-on in the hardest technical work: cell-level motion planning, 3D vision, calibration, and system integration. Responsibilities Serve as the technical lead for the software of robotic automation projects from feasibility through deployment, translating loosely defined needs into software requirements, acceptance criteria, and a technical plan with identified risks and mitigations. Define software problems and break project scope into well-scoped tasks with clear requirements, interfaces, and acceptance criteria; assign them to other team members based on their skills and development needs; and track progress, review deliverables, and integrate the results into a working system. Serve as the primary technical consultant for the project team, including technical discussions with customers, unblocking others and guiding their approach rather than defaulting to doing the work yourself. Help develop software effort estimates for projects and proposals based on technical scope and risk, and flag early when technical findings change those estimates. Architect the project application in C#, .NET, WPF, and MVVM on top of the common software platform, defining module boundaries, interfaces, and test strategy, and set project-level conventions consistent with company standards. Lead robot integration for the cell on Fanuc and other 6-axis industrial robots, including multi-robot and external-axis coordination and the communication architecture between robots, PLCs, sensors, and cell software. Decide which device-integration components for cameras, laser profilometers, ultrasonic probes, PLCs, motor controllers, and digital I/O become reusable across projects, and define the integration patterns other engineers follow. Own motion planning for the full cell, including trajectory generation, collision avoidance, and offline programming, and resolve tradeoffs between reach, cycle time, accuracy, and process quality across subsystems. Lead 3D vision and localization for the cell, including point-cloud processing and vision-guided robot correction, and ensure the vision, calibration, and motion subsystems work together to meet system-level accuracy. Define accuracy and cycle-time error budgets for robotic cells, own calibration methods for robot, tool, camera, and workpiece frames, and design the validation tests that prove the system meets its requirements. Implement and verify the software side of cell safety, including Fanuc DCS or equivalent safe zones, speed limits, and safety I/O, in coordination with the controls team and the cell risk assessment. Drive cell-level performance and reliability, including communication timing between robots and devices, fault handling and recovery, and diagnostics that make field issues traceable. Lead on-site commissioning and troubleshooting independently, make technical decisions in the field, drive root-cause analysis when automated systems underperform, and communicate technical impacts to the project team. Mentor other team members through design reviews, code reviews, and pairing on difficult integration problems. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field; Master's degree is a plus. 9+ years of professional software development experience, with a substantial portion in industrial robotics or automation. Expert-level C# and object-oriented design skills, with a record of building and maintaining production applications. Deep experience with .NET, Dependency Injection, WPF, and MVVM, including making architecture decisions for multi-module applications. Experience setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git. Strong applied mathematics, including linear algebra, coordinate transformations, kinematics, and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc, ABB, KUKA, Yaskawa, or similar) in delivered systems, including multi-robot or external-axis cells. Demonstrated experience delivering motion planning and collision avoidance for complete robotic cells. Practical experience with machine vision using OpenCV, Cognex, Keyence, or comparable tools, including 3D vision and point-cloud processing. Track record integrating sensors, PLCs, motion controllers, and industrial communication protocols, and designing the communication architecture for a robotic cell. Led the software on at least two delivered robotic systems from concept through customer acceptance. Experience leading the technical work of a small team, including problem definition, task breakdown, delegation, and review of other engineers' work. Experience developing software effort estimates from technical scope and risk. Experience configuring robot safety functions such as Fanuc DCS; familiarity with ISO 10218 or ANSI/RIA R15.06 is a plus. Experience with robotic simulation and offline programming software, such as FANUC ROBOGUIDE, and with CAD-based path generation is a plus. Clear technical communication, including documenting design decisions and explaining tradeoffs to the project team and customers. This position is a strong fit for an experienced engineer who wants to lead the technical side of complete robotic systems, solve the hardest integration problems hands-on, and help other engineers grow. The Company: Viable Engineering Solutions is a world-class concept-to-completion center for the industrial market. We take Research and Development to the next level providing rapid prototyping, robotics, automation, and non-destructive testing solutions in our state-of-the-art concept-to-completion facility. We are located in Orlando in the heart of the Central Florida Research Park. Affirmative Action / Equal Opportunity Employer Statement: Viable Engineering Solutions is an Equal Opportunity Employer and takes affirmative action to employ and advance qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. In compliance with federal law, we encourage qualified individuals with disabilities and protected veterans to apply. Reasonable accommodations are available upon request. As a federal contractor, Viable is committed to complying with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA). Compensation details: 60 Yearly Salary PI4290e1765b72-6301
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
POSITION SUMMARY: The Senior Manager, Network Infrastructure & Services is responsible for the strategy, architecture, security, availability, and lifecycle management of all network and connectivity services supporting LBCT's critical business and terminal operations. This position provides leadership and oversight for enterprise networking, telecommunications, wireless infrastructure, operational technology (OT) connectivity, carrier services, network security platforms, and managed service providers. The Senior Manager oversees Cisco networking, Fortinet and Palo Alto security platforms, enterprise wireless infrastructure, network segmentation, carrier services, and managed service provider governance. The role ensures highly available, secure, and resilient network services capable of supporting 24x7 marine terminal operations. The Senior Manager develops technology roadmaps, establishes engineering standards, manages vendor relationships, and drives continuous improvement through automation, analytics, and emerging technologies. This position works closely with Cyber Security, Systems Administration, Operations, and business stakeholders to ensure infrastructure services meet operational and strategic business requirements. ESSENTIAL DUTIES AND RESPONSIBILITIES Maintain a safe and secure working environment while promoting IT Operational excellence throughout the organization. Develop and maintain the terminal's network architecture, standards, technology roadmap, and lifecycle strategy. Architect highly available LAN, WAN, wireless, Internet, data center, cloud, and remote-access connectivity. Design networks for environments requiring extremely high availability and rapid recovery from infrastructure failures. Establish architecture and engineering standards for enterprise and outdoor wireless infrastructure. Establish network segmentation and security architectures separating corporate IT, OT, vendors, Internet-facing systems, and other security zones. Develop standards for switching, routing, firewalls, wireless, IP addressing, DNS/DHCP, network access control, and connectivity services. Evaluate emerging technologies and determine their applicability to terminal operations. Ensure infrastructure capacity supports growth in automation, IoT/OT devices, video, telemetry, mobile equipment, and cloud services. Participate in operational change management to minimize disruption to terminal activities. Provide technical leadership and governance for the terminal's Cisco environment. Maintain configuration, architecture, lifecycle, and resilience standards across the network environment. Lead network-security architecture and operations using technologies including Fortinet and Palo Alto Networks, as applicable. Maintain compliance with industry regulations and standards, including those specific to maritime and port operations. Partner with cybersecurity team to implement Zero Trust principles and strengthen protection of critical IT and operational infrastructure. Assist cyber team with regular security audits and vulnerability assessments. Own the performance and governance of network-related managed service providers, telecommunications carriers, contractors, and technology vendors. Maintain appropriate records of vendor issues, decisions, commitments, and outstanding actions. Enforce and monitor contractual service level agreements (SLAs) with IT vendors and assigned independent contractors. Foster a culture of accountability, technical excellence, continuous improvement, and customer service. With other IT management, contribute to the development and implementation of the IT strategy for the terminal. Perform other related duties as assigned. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES : Strong managerial, supervisory, and decision-making skills to achieve department and company goals. Excellent interpersonal skills. Ability to interact with a variety of people throughout the corporation. Ability to remain calm and professional during confrontational situations. Effective public speaking and presentation skills. Be able to present and defend a point of view. Possess excellent communication, written, oral, and interpersonal and teamwork skills, communicate constructively and confidently, listen openly, and collaborate well with staff and others in different groups. Ability to relate information from a multitude of sources. Capability to turn theoretical information into practical applications. Convey a professional and positive attitude with action/results orientation to problem solving and elimination of backlogs. Proven ability and experience in exercising good judgment and discretion in handling confidential materials and matters. Possess strong organizational and analytical skills in managing daily, weekly, monthly, quarterly, or annual deadlines, but flexible to a changing list of priorities, sometimes daily. Excellent attention to detail with a high degree of accuracy. Ability to handle multiple demands; prioritize workloads; establish and maintain positive, cooperative, and productive working relationships. Advanced understanding and familiarity with Microsoft: Server, SQL, Office Suite, Azure, Active Directory, and DNS. Advanced understanding of and familiarity with VMWare and Dell EMC storage solutions. Experience with vulnerability scanning solutions. Familiarity with the NIST Cybersecurity Framework, CIS Controls, and relevant cybersecurity frameworks. In-depth knowledge of Routing and switching, TCP/IP, BGP and OSPF, VLANs and VRFs, Wireless networking, Firewalls, VPN technologies, Network segmentation, DNS/DHCP, Network monitoring, and High-availability architecture. Network automation using APIs, scripting, orchestration platforms, or infrastructure as code. Knowledge of marine terminal technology is highly desirable, including Terminal Operating Systems, Gate systems, OCR, RFID, GPS/location technologies, and truck appointment systems (NAVIS experience a plus). Stay informed about emerging technologies and trends and make recommendations for future IT investments. EDUCATION AND/OR EXPERIENCE Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. Seven (7+) years of progressive experience in network engineering, telecommunications, or infrastructure operations. Five (5+) years of leadership experience managing technical teams or critical infrastructure services. Advanced experience with Cisco networking technologies. Significant experience with enterprise firewall and security technologies, Palo Alto and/or Fortinet preferred. Experience in a marine container terminal or similar industrial environment is preferred Experience working in a unionized environment, a plus. PHYSICAL REQUIREMENTS The ability to work any days or hours, including weekends and holidays. The ability to walk and stand for extended periods of time. The ability to use a computer and keyboard. The ability to sit and work at a desk and/or computer for extended periods of time. The ability to lift 30-50 pounds with or without assistance. The ability to drive a company owned pickup truck. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. WORKING ENVIRONMENT The work is performed both inside and outside at LBCT sites, various marine terminal locations, in temporary offices and in classrooms. Position is based in Long Beach, CA; work assignments may require travel to other marine terminal sites or travel to other offices. TWIC: You will be required to apply and successfully obtain a TWIC (Transportation Worker's Identification Credential). NOTE: This job description is not all-inclusive. An Employee may perform other related duties as required to meet the ongoing needs of LBCT LLC. LBCT LLC is an equal opportunity employer committed to equity and inclusion in the workplace. Compensation details: 00 Yearly Salary PI65aebe2bcb05-7712
11/14/2026
Full time
POSITION SUMMARY: The Senior Manager, Network Infrastructure & Services is responsible for the strategy, architecture, security, availability, and lifecycle management of all network and connectivity services supporting LBCT's critical business and terminal operations. This position provides leadership and oversight for enterprise networking, telecommunications, wireless infrastructure, operational technology (OT) connectivity, carrier services, network security platforms, and managed service providers. The Senior Manager oversees Cisco networking, Fortinet and Palo Alto security platforms, enterprise wireless infrastructure, network segmentation, carrier services, and managed service provider governance. The role ensures highly available, secure, and resilient network services capable of supporting 24x7 marine terminal operations. The Senior Manager develops technology roadmaps, establishes engineering standards, manages vendor relationships, and drives continuous improvement through automation, analytics, and emerging technologies. This position works closely with Cyber Security, Systems Administration, Operations, and business stakeholders to ensure infrastructure services meet operational and strategic business requirements. ESSENTIAL DUTIES AND RESPONSIBILITIES Maintain a safe and secure working environment while promoting IT Operational excellence throughout the organization. Develop and maintain the terminal's network architecture, standards, technology roadmap, and lifecycle strategy. Architect highly available LAN, WAN, wireless, Internet, data center, cloud, and remote-access connectivity. Design networks for environments requiring extremely high availability and rapid recovery from infrastructure failures. Establish architecture and engineering standards for enterprise and outdoor wireless infrastructure. Establish network segmentation and security architectures separating corporate IT, OT, vendors, Internet-facing systems, and other security zones. Develop standards for switching, routing, firewalls, wireless, IP addressing, DNS/DHCP, network access control, and connectivity services. Evaluate emerging technologies and determine their applicability to terminal operations. Ensure infrastructure capacity supports growth in automation, IoT/OT devices, video, telemetry, mobile equipment, and cloud services. Participate in operational change management to minimize disruption to terminal activities. Provide technical leadership and governance for the terminal's Cisco environment. Maintain configuration, architecture, lifecycle, and resilience standards across the network environment. Lead network-security architecture and operations using technologies including Fortinet and Palo Alto Networks, as applicable. Maintain compliance with industry regulations and standards, including those specific to maritime and port operations. Partner with cybersecurity team to implement Zero Trust principles and strengthen protection of critical IT and operational infrastructure. Assist cyber team with regular security audits and vulnerability assessments. Own the performance and governance of network-related managed service providers, telecommunications carriers, contractors, and technology vendors. Maintain appropriate records of vendor issues, decisions, commitments, and outstanding actions. Enforce and monitor contractual service level agreements (SLAs) with IT vendors and assigned independent contractors. Foster a culture of accountability, technical excellence, continuous improvement, and customer service. With other IT management, contribute to the development and implementation of the IT strategy for the terminal. Perform other related duties as assigned. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES : Strong managerial, supervisory, and decision-making skills to achieve department and company goals. Excellent interpersonal skills. Ability to interact with a variety of people throughout the corporation. Ability to remain calm and professional during confrontational situations. Effective public speaking and presentation skills. Be able to present and defend a point of view. Possess excellent communication, written, oral, and interpersonal and teamwork skills, communicate constructively and confidently, listen openly, and collaborate well with staff and others in different groups. Ability to relate information from a multitude of sources. Capability to turn theoretical information into practical applications. Convey a professional and positive attitude with action/results orientation to problem solving and elimination of backlogs. Proven ability and experience in exercising good judgment and discretion in handling confidential materials and matters. Possess strong organizational and analytical skills in managing daily, weekly, monthly, quarterly, or annual deadlines, but flexible to a changing list of priorities, sometimes daily. Excellent attention to detail with a high degree of accuracy. Ability to handle multiple demands; prioritize workloads; establish and maintain positive, cooperative, and productive working relationships. Advanced understanding and familiarity with Microsoft: Server, SQL, Office Suite, Azure, Active Directory, and DNS. Advanced understanding of and familiarity with VMWare and Dell EMC storage solutions. Experience with vulnerability scanning solutions. Familiarity with the NIST Cybersecurity Framework, CIS Controls, and relevant cybersecurity frameworks. In-depth knowledge of Routing and switching, TCP/IP, BGP and OSPF, VLANs and VRFs, Wireless networking, Firewalls, VPN technologies, Network segmentation, DNS/DHCP, Network monitoring, and High-availability architecture. Network automation using APIs, scripting, orchestration platforms, or infrastructure as code. Knowledge of marine terminal technology is highly desirable, including Terminal Operating Systems, Gate systems, OCR, RFID, GPS/location technologies, and truck appointment systems (NAVIS experience a plus). Stay informed about emerging technologies and trends and make recommendations for future IT investments. EDUCATION AND/OR EXPERIENCE Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. Seven (7+) years of progressive experience in network engineering, telecommunications, or infrastructure operations. Five (5+) years of leadership experience managing technical teams or critical infrastructure services. Advanced experience with Cisco networking technologies. Significant experience with enterprise firewall and security technologies, Palo Alto and/or Fortinet preferred. Experience in a marine container terminal or similar industrial environment is preferred Experience working in a unionized environment, a plus. PHYSICAL REQUIREMENTS The ability to work any days or hours, including weekends and holidays. The ability to walk and stand for extended periods of time. The ability to use a computer and keyboard. The ability to sit and work at a desk and/or computer for extended periods of time. The ability to lift 30-50 pounds with or without assistance. The ability to drive a company owned pickup truck. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. WORKING ENVIRONMENT The work is performed both inside and outside at LBCT sites, various marine terminal locations, in temporary offices and in classrooms. Position is based in Long Beach, CA; work assignments may require travel to other marine terminal sites or travel to other offices. TWIC: You will be required to apply and successfully obtain a TWIC (Transportation Worker's Identification Credential). NOTE: This job description is not all-inclusive. An Employee may perform other related duties as required to meet the ongoing needs of LBCT LLC. LBCT LLC is an equal opportunity employer committed to equity and inclusion in the workplace. Compensation details: 00 Yearly Salary PI65aebe2bcb05-7712
Job Description Hybrid: Ideally 5 days onsite, ok with 3-4 days (will discuss during interview) Location: Jersey City, NJ CANDIDATES LOCALS TO NJ/NY AREA USC & GC ONLY Must Haves: -Azure -Databricks -Apache Spark -CI/CD Databricks / Azure Consultant - Job Summary Seeking two experienced Databricks / Azure Consultants to support the design, implementation, and ongoing development of the Databricks data platform. The consultants will work with technology and data teams to build and enhance scalable data solutions using Databricks and Microsoft Azure, with a strong focus on data engineering, integration, security, automation, and platform best practices. Ideal candidates will have strong hands-on experience across the Databricks ecosystem, including Databricks Workspace, Unity Catalog, Delta Lake, Spark, and MLflow, along with experience developing solutions in Microsoft Azure. Candidates should be comfortable working in a large enterprise environment and collaborating across application development, infrastructure, cloud, security, architecture, and data teams. Key Skills and Experience Databricks Ecosystem: Hands-on experience with Databricks Workspace, Unity Catalog, Delta Lake, Spark UI, and MLflow. Programming & Data Engineering: Strong development experience with Python, PySpark, SQL, and/or Java, including the development and optimization of data processing and ETL/ELT pipelines. Cloud Platforms: Strong Microsoft Azure experience, particularly Azure Databricks, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Data Factory. Experience with AWS, including S3 and IAM, is also desirable. Apache Spark: Experience developing, troubleshooting, and performance-tuning Spark-based workloads and data processing pipelines. DevOps & MLOps: Experience with Git, CI/CD pipelines, OpenShift, Kubernetes, and Terraform / Infrastructure as Code (IaC). Security & Governance: Experience implementing or supporting Databricks security, access controls, secrets management, identity integration, data governance, and Unity Catalog. Automation & Operations: Experience with Databricks workflows, job orchestration, monitoring, troubleshooting, performance optimization, and production support. Enterprise Delivery: Ability to collaborate across technical teams and operate within established enterprise architecture, security, change-management, and governance standards. Knowledge of Apache Airflow Preferred Experience Experience designing and delivering production-grade Databricks solutions in a large enterprise environment, particularly where security, data governance, resiliency, automation, and operational support are key requirements. Estimated Min Rate : $70.00 Estimated Max Rate : $85.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/14/2026
Full time
Job Description Hybrid: Ideally 5 days onsite, ok with 3-4 days (will discuss during interview) Location: Jersey City, NJ CANDIDATES LOCALS TO NJ/NY AREA USC & GC ONLY Must Haves: -Azure -Databricks -Apache Spark -CI/CD Databricks / Azure Consultant - Job Summary Seeking two experienced Databricks / Azure Consultants to support the design, implementation, and ongoing development of the Databricks data platform. The consultants will work with technology and data teams to build and enhance scalable data solutions using Databricks and Microsoft Azure, with a strong focus on data engineering, integration, security, automation, and platform best practices. Ideal candidates will have strong hands-on experience across the Databricks ecosystem, including Databricks Workspace, Unity Catalog, Delta Lake, Spark, and MLflow, along with experience developing solutions in Microsoft Azure. Candidates should be comfortable working in a large enterprise environment and collaborating across application development, infrastructure, cloud, security, architecture, and data teams. Key Skills and Experience Databricks Ecosystem: Hands-on experience with Databricks Workspace, Unity Catalog, Delta Lake, Spark UI, and MLflow. Programming & Data Engineering: Strong development experience with Python, PySpark, SQL, and/or Java, including the development and optimization of data processing and ETL/ELT pipelines. Cloud Platforms: Strong Microsoft Azure experience, particularly Azure Databricks, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Data Factory. Experience with AWS, including S3 and IAM, is also desirable. Apache Spark: Experience developing, troubleshooting, and performance-tuning Spark-based workloads and data processing pipelines. DevOps & MLOps: Experience with Git, CI/CD pipelines, OpenShift, Kubernetes, and Terraform / Infrastructure as Code (IaC). Security & Governance: Experience implementing or supporting Databricks security, access controls, secrets management, identity integration, data governance, and Unity Catalog. Automation & Operations: Experience with Databricks workflows, job orchestration, monitoring, troubleshooting, performance optimization, and production support. Enterprise Delivery: Ability to collaborate across technical teams and operate within established enterprise architecture, security, change-management, and governance standards. Knowledge of Apache Airflow Preferred Experience Experience designing and delivering production-grade Databricks solutions in a large enterprise environment, particularly where security, data governance, resiliency, automation, and operational support are key requirements. Estimated Min Rate : $70.00 Estimated Max Rate : $85.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, 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).
11/14/2026
Full time
Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, 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).
Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, 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).
11/14/2026
Full time
Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, 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).
ConRes helps organizations adopt AI across public cloud, government cloud, and local and air-gapped data centers. As clients move AI from pilots into production, their security, compliance and audit teams need an independent answer to one question: is this AI system safe to run? The AI Security Engineer provides that answer. You will assess, test and help govern our clients' AI systems, and turn findings into prioritized, defensible remediation they can act on. Responsibilities AI Security Assessments Lead AI security assessments of LLM applications, RAG pipelines and AI agents: architecture review, data flows, identity, tenancy and data separation, logging and model-provider configuration. Run threat-modeling workshops using STRIDE with the OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance and MITRE ATLAS. Map findings to AI frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) and to the client's control baseline (NIST SP 800-53, NIST SP 800-171 / CMMC, FedRAMP, HIPAA, PCI DSS, SOC 2, ISO/IEC 27001) so stakeholders can defend severity and remediation decisions and produce audit-ready evidence. Write executive-ready reports and present results to client security, compliance and leadership teams. Adversarial Testing Plan and execute AI red-team exercises: direct and indirect prompt injection, jailbreaks, system-prompt and data leakage, insecure output handling, excessive agency and tool abuse in agents, RAG and vector-store poisoning. Validate that guardrails and content filters (native guardrail services in public and government cloud, and self-hosted guardrail models in air-gapped environments) actually hold under attack. Local and Air-gapped AI Deployments Define and verify security controls for self-hosted and air-gapped AI: inference servers (i.e., vLLM, Ollama, NVIDIA NIM), GPU hosts, local vector stores and the networks around them. Secure the model supply chain without internet access: provenance and hash/signature verification of model weights, scanning for unsafe serialization, and an approved internal model and package registry. Design and audit controlled data-transfer processes for moving models, updates, containers and datasets across the air gap. Harden hosts and containers; ensure logging, monitoring and incident response work without cloud services. Assess data-isolation guarantees and document them for accreditors and auditors. AI Governance and Risk Help clients develop AI acceptable-use, data-handling and model/vendor risk standards suited to their regulatory obligations. Assess the AI vendors and SaaS tools clients are adopting: data residency, retention, training-data use, SOC 2 / ISO 42001 posture. Define AI security requirements and acceptance criteria for client solutions, working with the client's teams and ConRes delivery teams. Help clients detect and manage shadow AI and AI-related data loss (data classification, DLP and AI threat-protection tooling). Incident Response and Enablement Support clients in investigating and responding to AI-related incidents: data leakage, model abuse, compromised AI identities or keys. Track emerging AI attack techniques and regulation, and keep client assessments and test cases current. Deliver AI security training and workshops for client teams, and help shape ConRes's AI security services and thought leadership. The pay range for this position begins at $180,000 up to $200,000 per year. This range reflects the annual salary that Continental Resources reasonably and in good faith expects to pay for this position at the time of posting, consistent with the Massachusetts Pay Transparency Law (M.G.L. c. 149, 105E).
11/14/2026
Full time
ConRes helps organizations adopt AI across public cloud, government cloud, and local and air-gapped data centers. As clients move AI from pilots into production, their security, compliance and audit teams need an independent answer to one question: is this AI system safe to run? The AI Security Engineer provides that answer. You will assess, test and help govern our clients' AI systems, and turn findings into prioritized, defensible remediation they can act on. Responsibilities AI Security Assessments Lead AI security assessments of LLM applications, RAG pipelines and AI agents: architecture review, data flows, identity, tenancy and data separation, logging and model-provider configuration. Run threat-modeling workshops using STRIDE with the OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance and MITRE ATLAS. Map findings to AI frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) and to the client's control baseline (NIST SP 800-53, NIST SP 800-171 / CMMC, FedRAMP, HIPAA, PCI DSS, SOC 2, ISO/IEC 27001) so stakeholders can defend severity and remediation decisions and produce audit-ready evidence. Write executive-ready reports and present results to client security, compliance and leadership teams. Adversarial Testing Plan and execute AI red-team exercises: direct and indirect prompt injection, jailbreaks, system-prompt and data leakage, insecure output handling, excessive agency and tool abuse in agents, RAG and vector-store poisoning. Validate that guardrails and content filters (native guardrail services in public and government cloud, and self-hosted guardrail models in air-gapped environments) actually hold under attack. Local and Air-gapped AI Deployments Define and verify security controls for self-hosted and air-gapped AI: inference servers (i.e., vLLM, Ollama, NVIDIA NIM), GPU hosts, local vector stores and the networks around them. Secure the model supply chain without internet access: provenance and hash/signature verification of model weights, scanning for unsafe serialization, and an approved internal model and package registry. Design and audit controlled data-transfer processes for moving models, updates, containers and datasets across the air gap. Harden hosts and containers; ensure logging, monitoring and incident response work without cloud services. Assess data-isolation guarantees and document them for accreditors and auditors. AI Governance and Risk Help clients develop AI acceptable-use, data-handling and model/vendor risk standards suited to their regulatory obligations. Assess the AI vendors and SaaS tools clients are adopting: data residency, retention, training-data use, SOC 2 / ISO 42001 posture. Define AI security requirements and acceptance criteria for client solutions, working with the client's teams and ConRes delivery teams. Help clients detect and manage shadow AI and AI-related data loss (data classification, DLP and AI threat-protection tooling). Incident Response and Enablement Support clients in investigating and responding to AI-related incidents: data leakage, model abuse, compromised AI identities or keys. Track emerging AI attack techniques and regulation, and keep client assessments and test cases current. Deliver AI security training and workshops for client teams, and help shape ConRes's AI security services and thought leadership. The pay range for this position begins at $180,000 up to $200,000 per year. This range reflects the annual salary that Continental Resources reasonably and in good faith expects to pay for this position at the time of posting, consistent with the Massachusetts Pay Transparency Law (M.G.L. c. 149, 105E).
SK hynix memory solutions America Inc.
San Jose, California
Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.
11/14/2026
Full time
Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.
Mantis Security Corporation
Adams Run, South Carolina
Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.
11/14/2026
Full time
Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.
Job Description Job Description Description: Position Summary Avum is seeking an AI/ML Integration Specialist to integrate artificial intelligence and machine learning capabilities into business applications and technology platforms. This role works with engineering, data, and business teams to turn AI solutions into reliable, secure, and scalable production capabilities. Key Responsibilities Design, develop, and maintain integrations connecting AI/ML models, APIs, and services with existing applications. Implement generative AI, large language models (LLMs), natural language processing, computer vision, and predictive analytics capabilities to support business needs. Build and maintain APIs, data pipelines, middleware, and integration workflows. Collaborate with data scientists, engineers, product teams, and business stakeholders to define requirements and move models from development into production. Evaluate and improve AI solution performance, scalability, security, reliability, and cost. Monitor deployed solutions, troubleshoot issues, and establish practices for testing, version control, deployment, and ongoing monitoring. Ensure solutions meet organizational security, privacy, governance, and responsible AI requirements. Document architectures, integrations, and operating procedures, and recommend emerging technologies that support business goals. Compensation Actual compensation and position level will be determined based on experience, qualifications, certifications, geographic location, and the responsibilities of the assigned role. Avum offers a comprehensive benefits package including medical (Cigna), dental and vision (Principal), 401(k), PTO, education reimbursement, and certification reimbursement. Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance may be required based on contract assignment Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan. Requirements: Required Qualifications U.S. citizenship with the ability to obtain and maintain a U.S. Government security clearance. Bachelor's degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field. Three or more years of experience in software engineering, systems integration, ML engineering, data engineering, or a related discipline. Experience integrating REST APIs, SDKs, microservices, and third party platforms. Strong programming skills in Python and/or Java, JavaScript, or TypeScript. Understanding of machine learning concepts, the model lifecycle, and AI application architecture. Experience working with databases, data pipelines, JSON, SQL, and cloud environments. Familiarity with Git, CI/CD, testing, logging, monitoring, and production deployment practices. Strong analytical, troubleshooting, communication, and problem solving skills. Preferred Qualifications Experience integrating LLMs and generative AI applications using OpenAI, Azure AI, AWS AI/ML, Google Cloud AI, or comparable platforms. Knowledge of retrieval augmented generation (RAG), vector databases, embeddings, and semantic search. Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. Familiarity with Docker, Kubernetes, serverless architectures, and cloud native development. Experience with MLOps, LLMOps, and model monitoring. Knowledge of AI security, governance, privacy, and responsible AI practices. Experience integrating AI capabilities with Salesforce, ServiceNow, SAP, Microsoft Dynamics, or similar enterprise platforms.
11/14/2026
Full time
Job Description Job Description Description: Position Summary Avum is seeking an AI/ML Integration Specialist to integrate artificial intelligence and machine learning capabilities into business applications and technology platforms. This role works with engineering, data, and business teams to turn AI solutions into reliable, secure, and scalable production capabilities. Key Responsibilities Design, develop, and maintain integrations connecting AI/ML models, APIs, and services with existing applications. Implement generative AI, large language models (LLMs), natural language processing, computer vision, and predictive analytics capabilities to support business needs. Build and maintain APIs, data pipelines, middleware, and integration workflows. Collaborate with data scientists, engineers, product teams, and business stakeholders to define requirements and move models from development into production. Evaluate and improve AI solution performance, scalability, security, reliability, and cost. Monitor deployed solutions, troubleshoot issues, and establish practices for testing, version control, deployment, and ongoing monitoring. Ensure solutions meet organizational security, privacy, governance, and responsible AI requirements. Document architectures, integrations, and operating procedures, and recommend emerging technologies that support business goals. Compensation Actual compensation and position level will be determined based on experience, qualifications, certifications, geographic location, and the responsibilities of the assigned role. Avum offers a comprehensive benefits package including medical (Cigna), dental and vision (Principal), 401(k), PTO, education reimbursement, and certification reimbursement. Work Environment & Requirements Hybrid/remote work environment with potential on-site requirements based on contract needs U.S. citizenship required Security clearance may be required based on contract assignment Equal Employment Opportunity Avum, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class under federal, state, or local law. Avum is committed to compliance with Section 503 of the Rehabilitation Act and VEVRAA, and maintains an active Affirmative Action Plan. Requirements: Required Qualifications U.S. citizenship with the ability to obtain and maintain a U.S. Government security clearance. Bachelor's degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field. Three or more years of experience in software engineering, systems integration, ML engineering, data engineering, or a related discipline. Experience integrating REST APIs, SDKs, microservices, and third party platforms. Strong programming skills in Python and/or Java, JavaScript, or TypeScript. Understanding of machine learning concepts, the model lifecycle, and AI application architecture. Experience working with databases, data pipelines, JSON, SQL, and cloud environments. Familiarity with Git, CI/CD, testing, logging, monitoring, and production deployment practices. Strong analytical, troubleshooting, communication, and problem solving skills. Preferred Qualifications Experience integrating LLMs and generative AI applications using OpenAI, Azure AI, AWS AI/ML, Google Cloud AI, or comparable platforms. Knowledge of retrieval augmented generation (RAG), vector databases, embeddings, and semantic search. Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. Familiarity with Docker, Kubernetes, serverless architectures, and cloud native development. Experience with MLOps, LLMOps, and model monitoring. Knowledge of AI security, governance, privacy, and responsible AI practices. Experience integrating AI capabilities with Salesforce, ServiceNow, SAP, Microsoft Dynamics, or similar enterprise platforms.
