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: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. 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: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. 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 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 .
This job is with Xceptor, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. ABOUT XCEPTOR Data is at the heart of everything we do: Xceptor has been designed around data manipulation in its broadest sense. We source data from wherever it flows. We curate, normalise, validate, repair, and enrich that data so it reaches its destination in a reliable and consistent format. Data coming out of Xceptor is data our clients can trust. We are recognised as an expert in the Financial Services vertical, which strongly aligns with Business Users in Middle and Back-Office teams. We enable these users to solve their data challenges by themselves, rather than through a technology-led project. Our mission - we empower business users within financial institutions to build automated processes that deliver trusted data. Our values sit at the heart of our business, driving who we are and how we work. At Xceptor, we are: Client Centric; we prioritise our Clients' experience and needs. One Team; we actively support one another to achieve our goals. Impactful; we focus, we innovate, we make every minute matter. Salary Range $105,000 - $115,000 This role is based from our New York office. We operate a hybrid environment where you will be required to be in the office 2 days per week. Your Role: The Xceptor Delivery Team is responsible for implementing Xceptor projects from short deliverables and consultancy opportunities to longer-term strategic change/transformation projects, across the financial services industry. The team provides expertise in how Xceptor can be configured and deployed to solve our clients' business problems. Usually involved from project inception through to go-live, we help clients analyse, configure, test, deploy and expand their Xceptor platform. Our client-facing Implementation Consultants are responsible for assisting clients from project inception to 'go live,' and for ensuring that key relationships with our clients are developed and maintained. They gather customer requirements by liaising with business teams to produce the right specifications, before configuring our product to meet the needs of our clients and managing the full development cycle and subsequent implementation. You will be integral to delivering the projects that you are working on. Our environment is highly collaborative; therefore, you will find yourself being asked to help design solutions as often as you will ask for help yourself. While this is a technical role, detailed analysis and communication skills are critical to understanding the business requirements and taking a lead role in delivering the solution. A typical day would involve a variety of activities, involving the whole lifecycle of a project. The role will suit someone who enjoys working with both business and technical teams, in a fast, dynamic environment, and who is naturally relationship driven and passionate about meeting our client's needs. What You'll Be Doing: Gathering requirements: Understanding the client's needs and requirements to ensure the solution being implemented meets those needs. Technical design, build and testing: Working closely with the client to design, configure and build the solution. Release management: Providing demos to clients and delivering and supporting release packages. Troubleshooting: Resolving technical issues and answering questions that arise during the implementation process. Communicating with stakeholders: Communicating regularly with stakeholders, including clients, project managers, and technical teams, to provide updates on the progress of the project and address any concerns. Who we're looking for: Candidates will be able to demonstrate: University degree (or equivalent): Any BSc degree, Computer Science, Chemistry, Physics, Economics or Engineering. Programming language experience with a preference for Object Orientated languages such as C#, C++, Java, Python. Relational Database experience such as SQL or Oracle. Strong XML skills. Preferably some software development experience such as .NET or Java. Elements of the software are designed to allow users to transfer Excel skills; so, a good knowledge of Excel or Access would be beneficial. Familiarity with various software deployment models, including on-premises, SaaS, and hybrid environments, to guide client configurations. 4+ years of work experience in a similar, customer-facing role gained with a software solutions organization. Diversity & Inclusion at Xceptor We believe great ideas come from everywhere - and that the best teams are made up of people with different backgrounds, experiences, and perspectives. At Xceptor, we're committed to building a workplace where everyone feels welcome, valued, and empowered to be themselves. We know that not everyone ticks every single box in a job description - and that's okay. If you're excited about this role and think you could make a difference, we'd love to hear from you. Your unique skills and experiences might be just what we need, even if you don't meet every requirement. We celebrate diversity and are dedicated to creating an inclusive environment for all employees - regardless of race, gender identity, sexual orientation, age, disability, religion, or background. Hybrid at Xceptor We love the buzz of the office and the flexibility of home-so at Xceptor, you get the best of both. Our people spend 2-3 days per week in the office collaborating, brainstorming, and connecting in person. The rest is up to you. It's all about great teamwork, balanced with the freedom to work your way. Please note: Xceptor works with clients in financial services and our offers of employment are subject to the satisfactory completion of background checks, which includes criminal record checks, and credit reference checks. If you have any employment gaps exceeding three months within the last six years, we will request additional information and evidence to clarify those periods.
11/14/2026
Full time
This job is with Xceptor, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. ABOUT XCEPTOR Data is at the heart of everything we do: Xceptor has been designed around data manipulation in its broadest sense. We source data from wherever it flows. We curate, normalise, validate, repair, and enrich that data so it reaches its destination in a reliable and consistent format. Data coming out of Xceptor is data our clients can trust. We are recognised as an expert in the Financial Services vertical, which strongly aligns with Business Users in Middle and Back-Office teams. We enable these users to solve their data challenges by themselves, rather than through a technology-led project. Our mission - we empower business users within financial institutions to build automated processes that deliver trusted data. Our values sit at the heart of our business, driving who we are and how we work. At Xceptor, we are: Client Centric; we prioritise our Clients' experience and needs. One Team; we actively support one another to achieve our goals. Impactful; we focus, we innovate, we make every minute matter. Salary Range $105,000 - $115,000 This role is based from our New York office. We operate a hybrid environment where you will be required to be in the office 2 days per week. Your Role: The Xceptor Delivery Team is responsible for implementing Xceptor projects from short deliverables and consultancy opportunities to longer-term strategic change/transformation projects, across the financial services industry. The team provides expertise in how Xceptor can be configured and deployed to solve our clients' business problems. Usually involved from project inception through to go-live, we help clients analyse, configure, test, deploy and expand their Xceptor platform. Our client-facing Implementation Consultants are responsible for assisting clients from project inception to 'go live,' and for ensuring that key relationships with our clients are developed and maintained. They gather customer requirements by liaising with business teams to produce the right specifications, before configuring our product to meet the needs of our clients and managing the full development cycle and subsequent implementation. You will be integral to delivering the projects that you are working on. Our environment is highly collaborative; therefore, you will find yourself being asked to help design solutions as often as you will ask for help yourself. While this is a technical role, detailed analysis and communication skills are critical to understanding the business requirements and taking a lead role in delivering the solution. A typical day would involve a variety of activities, involving the whole lifecycle of a project. The role will suit someone who enjoys working with both business and technical teams, in a fast, dynamic environment, and who is naturally relationship driven and passionate about meeting our client's needs. What You'll Be Doing: Gathering requirements: Understanding the client's needs and requirements to ensure the solution being implemented meets those needs. Technical design, build and testing: Working closely with the client to design, configure and build the solution. Release management: Providing demos to clients and delivering and supporting release packages. Troubleshooting: Resolving technical issues and answering questions that arise during the implementation process. Communicating with stakeholders: Communicating regularly with stakeholders, including clients, project managers, and technical teams, to provide updates on the progress of the project and address any concerns. Who we're looking for: Candidates will be able to demonstrate: University degree (or equivalent): Any BSc degree, Computer Science, Chemistry, Physics, Economics or Engineering. Programming language experience with a preference for Object Orientated languages such as C#, C++, Java, Python. Relational Database experience such as SQL or Oracle. Strong XML skills. Preferably some software development experience such as .NET or Java. Elements of the software are designed to allow users to transfer Excel skills; so, a good knowledge of Excel or Access would be beneficial. Familiarity with various software deployment models, including on-premises, SaaS, and hybrid environments, to guide client configurations. 4+ years of work experience in a similar, customer-facing role gained with a software solutions organization. Diversity & Inclusion at Xceptor We believe great ideas come from everywhere - and that the best teams are made up of people with different backgrounds, experiences, and perspectives. At Xceptor, we're committed to building a workplace where everyone feels welcome, valued, and empowered to be themselves. We know that not everyone ticks every single box in a job description - and that's okay. If you're excited about this role and think you could make a difference, we'd love to hear from you. Your unique skills and experiences might be just what we need, even if you don't meet every requirement. We celebrate diversity and are dedicated to creating an inclusive environment for all employees - regardless of race, gender identity, sexual orientation, age, disability, religion, or background. Hybrid at Xceptor We love the buzz of the office and the flexibility of home-so at Xceptor, you get the best of both. Our people spend 2-3 days per week in the office collaborating, brainstorming, and connecting in person. The rest is up to you. It's all about great teamwork, balanced with the freedom to work your way. Please note: Xceptor works with clients in financial services and our offers of employment are subject to the satisfactory completion of background checks, which includes criminal record checks, and credit reference checks. If you have any employment gaps exceeding three months within the last six years, we will request additional information and evidence to clarify those periods.
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 are a team of passionate engineers who love solving complex distributed storage and query engine problems. Through the Tableflow and Lightning Tables project, we are building the next generation of storage and query solutions for Kora to enable streaming data to be consumed both as a table and as a stream seamlessly, and queried with the performance of a purpose-built analytical engine. As a Staff Software Engineer on the team, you will focus on advancing key layers of our system, including multi-tenant, highly available compute infrastructure, the core components responsible for table materialization and background maintenance, and the query engine that serves analytical workloads over that data. You will tackle challenges such as developing strategies for efficient table materialization and maintenance at massive scale across all of Confluent Cloud, building a fast and scalable query engine, and ensuring high availability and scalability for background storage tasks and query serving. What You Will Do: - Storage Engine Development: Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale. - Query Engine Development: Design and implement components for query planning, execution, and optimization for fast analytical queries. - Platform Engineering: Build and maintain multi-tenant, highly available infrastructure that powers background computational tasks for Kora's long-term storage and query serving. Ensure that the platform is optimized for scalability, reliability, and resilience, in alignment with organizational objectives. - Cross-Functional Collaboration: Collaborate with product management, design, and other engineering teams to ensure seamless integration of storage and query features and infrastructure with the broader organization. Required Skills What You Will Bring: - BS, MS, or PhD in computer science or a related field, or equivalent work experience - Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels. Preferred Skills What Gives You an Edge: - Familiarity with or has experience contributing to the following open-source technologies: Apache Kafka, Apache Iceberg, Apache Flink, Apache Fluss - Experience with query engines or distributed SQL systems (e.g. Presto/Trino, Spark SQL, DuckDB, ClickHouse) - Experience/knowledge with public clouds (AWS, Azure or GCP) 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: We are a team of passionate engineers who love solving complex distributed storage and query engine problems. Through the Tableflow and Lightning Tables project, we are building the next generation of storage and query solutions for Kora to enable streaming data to be consumed both as a table and as a stream seamlessly, and queried with the performance of a purpose-built analytical engine. As a Staff Software Engineer on the team, you will focus on advancing key layers of our system, including multi-tenant, highly available compute infrastructure, the core components responsible for table materialization and background maintenance, and the query engine that serves analytical workloads over that data. You will tackle challenges such as developing strategies for efficient table materialization and maintenance at massive scale across all of Confluent Cloud, building a fast and scalable query engine, and ensuring high availability and scalability for background storage tasks and query serving. What You Will Do: - Storage Engine Development: Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale. - Query Engine Development: Design and implement components for query planning, execution, and optimization for fast analytical queries. - Platform Engineering: Build and maintain multi-tenant, highly available infrastructure that powers background computational tasks for Kora's long-term storage and query serving. Ensure that the platform is optimized for scalability, reliability, and resilience, in alignment with organizational objectives. - Cross-Functional Collaboration: Collaborate with product management, design, and other engineering teams to ensure seamless integration of storage and query features and infrastructure with the broader organization. Required Skills What You Will Bring: - BS, MS, or PhD in computer science or a related field, or equivalent work experience - Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels. Preferred Skills What Gives You an Edge: - Familiarity with or has experience contributing to the following open-source technologies: Apache Kafka, Apache Iceberg, Apache Flink, Apache Fluss - Experience with query engines or distributed SQL systems (e.g. Presto/Trino, Spark SQL, DuckDB, ClickHouse) - Experience/knowledge with public clouds (AWS, Azure or GCP) 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.
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
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space & Security (BDS) is seeking an Experienced Systems Engineer - Cloud-Based Systems (Level 3)to support an Air Dominance Fixed Wing Proprietary Program in Daytona Beach, FL. Step into a fast-paced program where you'll drive the design, integration, and testing of advanced cloud-based systems enabling mission planning, debrief, and tactical Command & Control (C2) for fixed-wing platforms. In this role, you will be responsible for development, analysis, integration, and test of the processing, encryption, storage, and networking systems that enable the ground system, starting with initial design through final delivery of the full capability. You will be part of an agile capability team that includes software, hardware, design, and test engineers. This organizational structure streamlines collaboration across disciplines and is pivotal to the rapid and iterative maturation of the product. You will leverage model-based systems engineering tools to define system behaviors, decompose requirements, and conduct system test activities. To be successful in this role, you will take full ownership of your design and test scope, communicate clearly and consistently with your capability team, and build expertise in your domain area. If you're energized by mission-critical systems and enjoy collaborative, rapid delivery, this role offers the chance to make a meaningful impact. Position Responsibilities Conduct system design, requirements development, and integration activities for the ground system Work with customers to develop and document complex electronic and electrical system requirements for Ground Systems Utilize Model Based Systems Engineering (MBSE) for hardware, software, and performance model development. Utilizes MBSE for requirements development, interfaces definition, and traceability Build knowledge of the sub-system architecture and key design constraints Mentor junior integration engineers Partner with capability leads to develop roadmaps, execution plans, and iteratively refine system and sub-system design Collaborate with engineering teams that have significant interdependencies with ground systems Research specific technology advances for potential application to company business needs Hardware and software development, integration, test, and validation/verification Travel may be required for up to 10% of the time; domestically and/or internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 4+ years related work experience or an equivalent combination of technical education and experience Preferred Qualifications (Desired Skills/Experience) Experience with Model-Based Systems Engineering (MBSE) tools Experience with cloud-based systems, networking architectures, and communication systems Experience defining logical and software interfaces and their associated requirements Strong verbal and written communication skills Conflict of Interest Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Total Rewards At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $104,550 - $141,450 Applications for this position will be accepted until Nov. 26, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See BOEING Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
11/14/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space & Security (BDS) is seeking an Experienced Systems Engineer - Cloud-Based Systems (Level 3)to support an Air Dominance Fixed Wing Proprietary Program in Daytona Beach, FL. Step into a fast-paced program where you'll drive the design, integration, and testing of advanced cloud-based systems enabling mission planning, debrief, and tactical Command & Control (C2) for fixed-wing platforms. In this role, you will be responsible for development, analysis, integration, and test of the processing, encryption, storage, and networking systems that enable the ground system, starting with initial design through final delivery of the full capability. You will be part of an agile capability team that includes software, hardware, design, and test engineers. This organizational structure streamlines collaboration across disciplines and is pivotal to the rapid and iterative maturation of the product. You will leverage model-based systems engineering tools to define system behaviors, decompose requirements, and conduct system test activities. To be successful in this role, you will take full ownership of your design and test scope, communicate clearly and consistently with your capability team, and build expertise in your domain area. If you're energized by mission-critical systems and enjoy collaborative, rapid delivery, this role offers the chance to make a meaningful impact. Position Responsibilities Conduct system design, requirements development, and integration activities for the ground system Work with customers to develop and document complex electronic and electrical system requirements for Ground Systems Utilize Model Based Systems Engineering (MBSE) for hardware, software, and performance model development. Utilizes MBSE for requirements development, interfaces definition, and traceability Build knowledge of the sub-system architecture and key design constraints Mentor junior integration engineers Partner with capability leads to develop roadmaps, execution plans, and iteratively refine system and sub-system design Collaborate with engineering teams that have significant interdependencies with ground systems Research specific technology advances for potential application to company business needs Hardware and software development, integration, test, and validation/verification Travel may be required for up to 10% of the time; domestically and/or internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 4+ years related work experience or an equivalent combination of technical education and experience Preferred Qualifications (Desired Skills/Experience) Experience with Model-Based Systems Engineering (MBSE) tools Experience with cloud-based systems, networking architectures, and communication systems Experience defining logical and software interfaces and their associated requirements Strong verbal and written communication skills Conflict of Interest Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Total Rewards At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $104,550 - $141,450 Applications for this position will be accepted until Nov. 26, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See BOEING Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
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 are a team of passionate engineers who love solving complex distributed storage and query engine problems. Through the Tableflow and Lightning Tables project, we are building the next generation of storage and query solutions for Kora to enable streaming data to be consumed both as a table and as a stream seamlessly, and queried with the performance of a purpose-built analytical engine. As a Staff Software Engineer on the team, you will focus on advancing key layers of our system, including multi-tenant, highly available compute infrastructure, the core components responsible for table materialization and background maintenance, and the query engine that serves analytical workloads over that data. You will tackle challenges such as developing strategies for efficient table materialization and maintenance at massive scale across all of Confluent Cloud, building a fast and scalable query engine, and ensuring high availability and scalability for background storage tasks and query serving. What You Will Do: - Storage Engine Development: Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale. - Query Engine Development: Design and implement components for query planning, execution, and optimization for fast analytical queries. - Platform Engineering: Build and maintain multi-tenant, highly available infrastructure that powers background computational tasks for Kora's long-term storage and query serving. Ensure that the platform is optimized for scalability, reliability, and resilience, in alignment with organizational objectives. - Cross-Functional Collaboration: Collaborate with product management, design, and other engineering teams to ensure seamless integration of storage and query features and infrastructure with the broader organization. Required Skills What You Will Bring: - BS, MS, or PhD in computer science or a related field, or equivalent work experience - Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels. Preferred Skills What Gives You an Edge: - Familiarity with or has experience contributing to the following open-source technologies: Apache Kafka, Apache Iceberg, Apache Flink, Apache Fluss - Experience with query engines or distributed SQL systems (e.g. Presto/Trino, Spark SQL, DuckDB, ClickHouse) - Experience/knowledge with public clouds (AWS, Azure or GCP) 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: We are a team of passionate engineers who love solving complex distributed storage and query engine problems. Through the Tableflow and Lightning Tables project, we are building the next generation of storage and query solutions for Kora to enable streaming data to be consumed both as a table and as a stream seamlessly, and queried with the performance of a purpose-built analytical engine. As a Staff Software Engineer on the team, you will focus on advancing key layers of our system, including multi-tenant, highly available compute infrastructure, the core components responsible for table materialization and background maintenance, and the query engine that serves analytical workloads over that data. You will tackle challenges such as developing strategies for efficient table materialization and maintenance at massive scale across all of Confluent Cloud, building a fast and scalable query engine, and ensuring high availability and scalability for background storage tasks and query serving. What You Will Do: - Storage Engine Development: Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale. - Query Engine Development: Design and implement components for query planning, execution, and optimization for fast analytical queries. - Platform Engineering: Build and maintain multi-tenant, highly available infrastructure that powers background computational tasks for Kora's long-term storage and query serving. Ensure that the platform is optimized for scalability, reliability, and resilience, in alignment with organizational objectives. - Cross-Functional Collaboration: Collaborate with product management, design, and other engineering teams to ensure seamless integration of storage and query features and infrastructure with the broader organization. Required Skills What You Will Bring: - BS, MS, or PhD in computer science or a related field, or equivalent work experience - Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels. Preferred Skills What Gives You an Edge: - Familiarity with or has experience contributing to the following open-source technologies: Apache Kafka, Apache Iceberg, Apache Flink, Apache Fluss - Experience with query engines or distributed SQL systems (e.g. Presto/Trino, Spark SQL, DuckDB, ClickHouse) - Experience/knowledge with public clouds (AWS, Azure or GCP) 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.
Job Description Our client is seeking a Backend/Platform Engineer for a contract opportunity. This role builds and operates a high-scale ML orchestration platform that supports online inference, model evaluation, and reliable access to serving infrastructure. No C2C, only W2 6 month contract + extend Priority should/will be given to candidates who are within a 60 mi commutable distance to our Brooklyn office for the first three weeks of posting. From there, if we are unable to find candidates, we will open it up to fully remote. Responsibilities: Build and operate distributed, low-latency production services for ML workloads. Develop orchestration systems connecting product teams with models, features, and serving infrastructure. Design service APIs and request-routing systems using technologies such as gRPC and queues. Operate Kubernetes deployments, including scaling, resource management, and production debugging. Monitor and improve service reliability through metrics, tracing, alerting, on-call ownership, and performance profiling. Qualifications: At least 5 years of experience building and operating distributed, low-latency production services. Back-end engineering experience working on ML systems. Expertise with the Scala programming language or another functional programming language. Understanding of production ML inference, including model serving, feature retrieval, batching, latency, throughput, and model evaluation. Hands-on Kubernetes experience, including deployments, scaling, resource management, and production troubleshooting. Perks and Benefits: Medical, Dental, and Vision Insurance. Life Insurance. 401(k) Program. Commuter Benefit. eLearning and Ongoing Training. Education Reimbursement. Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks. If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.
11/14/2026
Full time
Job Description Our client is seeking a Backend/Platform Engineer for a contract opportunity. This role builds and operates a high-scale ML orchestration platform that supports online inference, model evaluation, and reliable access to serving infrastructure. No C2C, only W2 6 month contract + extend Priority should/will be given to candidates who are within a 60 mi commutable distance to our Brooklyn office for the first three weeks of posting. From there, if we are unable to find candidates, we will open it up to fully remote. Responsibilities: Build and operate distributed, low-latency production services for ML workloads. Develop orchestration systems connecting product teams with models, features, and serving infrastructure. Design service APIs and request-routing systems using technologies such as gRPC and queues. Operate Kubernetes deployments, including scaling, resource management, and production debugging. Monitor and improve service reliability through metrics, tracing, alerting, on-call ownership, and performance profiling. Qualifications: At least 5 years of experience building and operating distributed, low-latency production services. Back-end engineering experience working on ML systems. Expertise with the Scala programming language or another functional programming language. Understanding of production ML inference, including model serving, feature retrieval, batching, latency, throughput, and model evaluation. Hands-on Kubernetes experience, including deployments, scaling, resource management, and production troubleshooting. Perks and Benefits: Medical, Dental, and Vision Insurance. Life Insurance. 401(k) Program. Commuter Benefit. eLearning and Ongoing Training. Education Reimbursement. Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks. If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.
Job Description I'm working with a client , an early-stage AI company building electromagnetic superintelligence at the intersection of AI, software, hardware, and the physical world , and they're hiring a Forward Deployed Engineer to work directly with customers on some genuinely difficult technical problems. This is not a "sit behind a dashboard and configure an API" FDE role. You'll be close to the customer, close to the product, and close to the underlying systems - taking ambiguous real-world problems, understanding the environment firsthand, and working across software, AI/ML, infrastructure, devices/hardware, and deployment to make things actually work in production. The kind of person I'd love to speak with has experience doing things like: Deploying complex technical products directly with customers Owning projects from initial discovery / POC through production Debugging across software, infrastructure, networking, hardware or physical systems Working comfortably with engineering, product, AI/ML teams and customers at the same time Operating well when the problem is ambiguous and there isn't already a playbook Experience from companies like Palantir, robotics/autonomy, defense, industrial AI, hardware/software products, infrastructure, or technically demanding enterprise deployments can translate extremely well. What makes this particularly interesting is the level of ownership . You're not being dropped into a massive organization where you own 2% of a system. You'll have the opportunity to influence how products are deployed, how customer problems shape the roadmap, and how Arena builds its FDE function as the company scales. The role also involves roughly 20% domestic and international travel , so it's particularly well suited to people who enjoy being close to the environments where the technology is actually being used. And because my client is still very early, the equity opportunity is meaningfully different from joining another late-stage AI company after most of the upside has already been priced in. If YOU are a strong engineer who likes being thrown into difficult situations, working directly with customers, and solving problems that cross the boundary between AI and the physical world , I'd really like to hear from you. ? New York ️ 20% domestic + international travel ? Early-stage / high ownership / meaningful equity Apply now or reach out directly if you'd like to hear more.
11/14/2026
Full time
Job Description I'm working with a client , an early-stage AI company building electromagnetic superintelligence at the intersection of AI, software, hardware, and the physical world , and they're hiring a Forward Deployed Engineer to work directly with customers on some genuinely difficult technical problems. This is not a "sit behind a dashboard and configure an API" FDE role. You'll be close to the customer, close to the product, and close to the underlying systems - taking ambiguous real-world problems, understanding the environment firsthand, and working across software, AI/ML, infrastructure, devices/hardware, and deployment to make things actually work in production. The kind of person I'd love to speak with has experience doing things like: Deploying complex technical products directly with customers Owning projects from initial discovery / POC through production Debugging across software, infrastructure, networking, hardware or physical systems Working comfortably with engineering, product, AI/ML teams and customers at the same time Operating well when the problem is ambiguous and there isn't already a playbook Experience from companies like Palantir, robotics/autonomy, defense, industrial AI, hardware/software products, infrastructure, or technically demanding enterprise deployments can translate extremely well. What makes this particularly interesting is the level of ownership . You're not being dropped into a massive organization where you own 2% of a system. You'll have the opportunity to influence how products are deployed, how customer problems shape the roadmap, and how Arena builds its FDE function as the company scales. The role also involves roughly 20% domestic and international travel , so it's particularly well suited to people who enjoy being close to the environments where the technology is actually being used. And because my client is still very early, the equity opportunity is meaningfully different from joining another late-stage AI company after most of the upside has already been priced in. If YOU are a strong engineer who likes being thrown into difficult situations, working directly with customers, and solving problems that cross the boundary between AI and the physical world , I'd really like to hear from you. ? New York ️ 20% domestic + international travel ? Early-stage / high ownership / meaningful equity Apply now or reach out directly if you'd like to hear more.
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.
Job Description Software Engineer $180- $250,000 Python & Event Driven Architectures New York Albert Bow have partnered with an AI platform, that are transforming how investment professionals work! Their clients span private equity, investment banking, private credit, and alternative asset management. They've built an "intelligent deal workspace" that helps dealmakers accelerate sourcing, due diligence, portfolio monitoring, and investor relations through agentic AI. The Role As a Backend Software Engineer, you'll be responsible for building the server-side architecture that powers their platform. You'll work directly with their Client Success, Product, and Engineering teams to develop robust, scalable solutions that handle the demanding workflows of institutional investors. Key Responsibilities Server-side architecture: Design and implement backend logic for data processing, integration workflows, and agentic AI orchestration Database design & optimization: Create and maintain efficient database schemas (MongoDB, Redis) with a focus on data integrity and security API development: Build and maintain RESTful APIs that enable seamless communication between frontend, backend, and third-party integrations (Datasite, Grata, etc.) What You Bring Advanced Python proficiency with production-grade code quality RESTful API development experience designing, building, and maintaining APIs MongoDB and Redis expertise - comfortable working with both document and in-memory data stores Distributed systems & multi-threading knowledge - strong experience with event driven architectures, Rabbit MQ, Kafka, Pub Sub. Interest in LLMs and generative AI - familiarity with how language models are integrated into applications Problem-solving ability and collaborative mindset in a fast-paced environment Location: New York, NY (Hybrid - 3 days/week in office) Up to $250,000 + bonus structure
11/14/2026
Full time
Job Description Software Engineer $180- $250,000 Python & Event Driven Architectures New York Albert Bow have partnered with an AI platform, that are transforming how investment professionals work! Their clients span private equity, investment banking, private credit, and alternative asset management. They've built an "intelligent deal workspace" that helps dealmakers accelerate sourcing, due diligence, portfolio monitoring, and investor relations through agentic AI. The Role As a Backend Software Engineer, you'll be responsible for building the server-side architecture that powers their platform. You'll work directly with their Client Success, Product, and Engineering teams to develop robust, scalable solutions that handle the demanding workflows of institutional investors. Key Responsibilities Server-side architecture: Design and implement backend logic for data processing, integration workflows, and agentic AI orchestration Database design & optimization: Create and maintain efficient database schemas (MongoDB, Redis) with a focus on data integrity and security API development: Build and maintain RESTful APIs that enable seamless communication between frontend, backend, and third-party integrations (Datasite, Grata, etc.) What You Bring Advanced Python proficiency with production-grade code quality RESTful API development experience designing, building, and maintaining APIs MongoDB and Redis expertise - comfortable working with both document and in-memory data stores Distributed systems & multi-threading knowledge - strong experience with event driven architectures, Rabbit MQ, Kafka, Pub Sub. Interest in LLMs and generative AI - familiarity with how language models are integrated into applications Problem-solving ability and collaborative mindset in a fast-paced environment Location: New York, NY (Hybrid - 3 days/week in office) Up to $250,000 + bonus structure
Description: Base Salary Range: $70-135K Reports to - Director of Applications Engineering Annual Bonus: Direct Reports - N/A Remote: No Status - Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: Integrity Pride Accountability Customer Service Teamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Develop application solutions for customers that meet stated scope requirements based on RFQs and customer requests, within the timeframe allotment, quality standards and cost objectives. KEY RESPONSIBILITIES Maximize sales by assisting and supporting Schneider Regional Sales Managers, and potential and existing customers. Communicate, understand, compare, and contrast the solutions that are available for buying new equipment, modifications to existing equipment and troubleshooting problems with their implementations. Conceptualize solutions to applications and key customer issues and create proposals in compliance with Schneider sales procedures. Collaborate with engineering, production, and R&D when appropriate. Create quotes and layouts to support proposals. Develop pricing, descriptive proposal, and Robotic simulations (when needed). Effectively present Schneider product and system solutions to Schneider Regional Managers and Customers. Keep detailed records of activities including communications and documents in Schneider's CRM system. Occasionally travel to customer locations in support of Schneider Regional Managers. Perform other duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: BS in mechanical/electrical engineering OR equivalent experience with additional training in computer applications especially MSOffice and AutoCAD, ver. X Experience: At least 5 years of internal sales experience required. Minimum 5 years in a high technology engineering applications role desired. Demonstrated success in managing customer relationships. Sales proposals and communication required. Understanding of robotic systems and packaging equipment is favored. Skills: BENEFITS Medical/HSA/FSA Dental Vision 401k Company paid Life and AD&D Optional Life Insurance Flexible Work Schedule PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Ability to Travel X Compensation details: 00 Yearly Salary PIce5edbb1b6-
11/14/2026
Full time
Description: Base Salary Range: $70-135K Reports to - Director of Applications Engineering Annual Bonus: Direct Reports - N/A Remote: No Status - Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: Integrity Pride Accountability Customer Service Teamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Develop application solutions for customers that meet stated scope requirements based on RFQs and customer requests, within the timeframe allotment, quality standards and cost objectives. KEY RESPONSIBILITIES Maximize sales by assisting and supporting Schneider Regional Sales Managers, and potential and existing customers. Communicate, understand, compare, and contrast the solutions that are available for buying new equipment, modifications to existing equipment and troubleshooting problems with their implementations. Conceptualize solutions to applications and key customer issues and create proposals in compliance with Schneider sales procedures. Collaborate with engineering, production, and R&D when appropriate. Create quotes and layouts to support proposals. Develop pricing, descriptive proposal, and Robotic simulations (when needed). Effectively present Schneider product and system solutions to Schneider Regional Managers and Customers. Keep detailed records of activities including communications and documents in Schneider's CRM system. Occasionally travel to customer locations in support of Schneider Regional Managers. Perform other duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: BS in mechanical/electrical engineering OR equivalent experience with additional training in computer applications especially MSOffice and AutoCAD, ver. X Experience: At least 5 years of internal sales experience required. Minimum 5 years in a high technology engineering applications role desired. Demonstrated success in managing customer relationships. Sales proposals and communication required. Understanding of robotic systems and packaging equipment is favored. Skills: BENEFITS Medical/HSA/FSA Dental Vision 401k Company paid Life and AD&D Optional Life Insurance Flexible Work Schedule PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Ability to Travel X Compensation details: 00 Yearly Salary PIce5edbb1b6-
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.
AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) 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: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 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
AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) 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: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 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).
