L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Technical Manager - Software Engineering Make sure to apply with all the requested information, as laid out in the job overview below. Job Code: 40839 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The Technical Manager - Software Engineering leads and directs a team 15-25 software engineers of various levels of experience to develop complex engineering solutions. Must possess extensive knowledge of Software Engineering and associated principles of Software Development and Software Test. Provides technical guidance and leadership to subordinate engineers. Maintains proper staffing levels and expertise to meet business objectives. Develops and conducts programs in accordance with company's policies, priorities and budget constraints. Contributes directly to program performance leveraging technical expertise and experience to software solution architecture, design, implementation, test, integration and sustainment. Leads root cause corrective action investigations, provides independent review team perspectives, participates in non-advocate reviews. Manages and/or develops budgets for assigned function or department, including operating requirements, training, equipment and material purchases. Provides technical oversight and assistance to other departments as required. Makes significant improvements in processes, systems, or products. Manages the implementation of the Software technical strategy and establishes short-term operational plans with measurable contribution to function/area results. Meets functional requirements of staffing, training, talent development, engagement, retention and overall management of the department. Responsible for the technical execution, staffing, and oversight of all programs/projects assigned to the organizational unit. Acts as an advisor to subordinate staff members to meet schedules, resolve technical or operational problems. Exerts influence in the development of overall objectives and short-term operational plans of the organization. Frequently contacts with equivalent level managers, customer representatives concerning projects, operational decisions, scheduling requirements, contractual clarifications, and talent development. Works to influence others to accept job function's views or practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. Works with Business Development, Program Management, and Business Leadership to provide input for Strategic Planning, Research and Development Planning, and Inter-Corporation Resource Sharing. Stays abreast of state-of-the-art technology; identifies disruptive or emerging technology trends for inclusion in Internal Research and Development or pursuit/program engineering change proposal opportunities. Ability to enable teams to resolve issues across programs, drive innovative solutions, solve execution and technical challenges on time and within budget. Essential Functions: • Lead an embedded software team to meet customer requirements within allocated cost/scope/schedule commitments. • Participate in architecture, design, and code reviews. • Collaborate with other engineers to develop reliable solutions. • Observe Agile software development and engineering processes. • Provide software support for units under test to on-orbit assets. • Communicate with leadership on status, issues, milestones, and successes. • Strong technical skillset, able to contribute to requirements analysis, design, code and unit test, integration and test, and requirements sell-off. • These positions requires you to obtain a DOD Secret Clearance, which requires US Citizenship. • Experience leading/managing technical programs Qualifications: • Bachelor's Degree and minimum 9 years prior related experience, including substantial embedded software background Graduate Degree with a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. • 3 years of experience with management and leadership background with experience leading full software lifecycle development, including: executing performance appraisals, managing staffing allocation, software process leadership (CMMI), and career development. • 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, and TDD • 5 years of experience with DevOps and a proven track record leading teams to leverage CI/CD pipeline • 8 years of experience leading Software Development through various phases (Design, Coding, Integration, Deployment, Sustainment) • Ability to acquire Secret Clearance Preferred Additional Skills: • Experience as a Lead SW Engineer or Subject Matter Expert on a product development effort • Minimum of 8 years of software development experience with OOD, UML, C/C++, Java, and Web Development • Experience developing or leading Enterprise Software Systems with high availability requirements • Experience with Cloud development and related technologies, like Containers and Cloud Services, and understanding of Cloud Service Models like IaaS, SaaS and PaaS • Experience with ground based command, control, and communications for space based systems. xibtplm • Ability to clearly and succinctly convey information and ideas, including strong executive communication and presentation skills • High expectations for continuous improvement and sustained excellence for self and team members - Lean Six Sigma, data-based decision making, SW performance metrics. • Knowledge of EVMS, prior experience with Control Account Management (CAM) • Certified SCRUM Master, Product Owner, Release Train Engineer or Coach
08/03/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Technical Manager - Software Engineering Make sure to apply with all the requested information, as laid out in the job overview below. Job Code: 40839 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The Technical Manager - Software Engineering leads and directs a team 15-25 software engineers of various levels of experience to develop complex engineering solutions. Must possess extensive knowledge of Software Engineering and associated principles of Software Development and Software Test. Provides technical guidance and leadership to subordinate engineers. Maintains proper staffing levels and expertise to meet business objectives. Develops and conducts programs in accordance with company's policies, priorities and budget constraints. Contributes directly to program performance leveraging technical expertise and experience to software solution architecture, design, implementation, test, integration and sustainment. Leads root cause corrective action investigations, provides independent review team perspectives, participates in non-advocate reviews. Manages and/or develops budgets for assigned function or department, including operating requirements, training, equipment and material purchases. Provides technical oversight and assistance to other departments as required. Makes significant improvements in processes, systems, or products. Manages the implementation of the Software technical strategy and establishes short-term operational plans with measurable contribution to function/area results. Meets functional requirements of staffing, training, talent development, engagement, retention and overall management of the department. Responsible for the technical execution, staffing, and oversight of all programs/projects assigned to the organizational unit. Acts as an advisor to subordinate staff members to meet schedules, resolve technical or operational problems. Exerts influence in the development of overall objectives and short-term operational plans of the organization. Frequently contacts with equivalent level managers, customer representatives concerning projects, operational decisions, scheduling requirements, contractual clarifications, and talent development. Works to influence others to accept job function's views or practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. Works with Business Development, Program Management, and Business Leadership to provide input for Strategic Planning, Research and Development Planning, and Inter-Corporation Resource Sharing. Stays abreast of state-of-the-art technology; identifies disruptive or emerging technology trends for inclusion in Internal Research and Development or pursuit/program engineering change proposal opportunities. Ability to enable teams to resolve issues across programs, drive innovative solutions, solve execution and technical challenges on time and within budget. Essential Functions: • Lead an embedded software team to meet customer requirements within allocated cost/scope/schedule commitments. • Participate in architecture, design, and code reviews. • Collaborate with other engineers to develop reliable solutions. • Observe Agile software development and engineering processes. • Provide software support for units under test to on-orbit assets. • Communicate with leadership on status, issues, milestones, and successes. • Strong technical skillset, able to contribute to requirements analysis, design, code and unit test, integration and test, and requirements sell-off. • These positions requires you to obtain a DOD Secret Clearance, which requires US Citizenship. • Experience leading/managing technical programs Qualifications: • Bachelor's Degree and minimum 9 years prior related experience, including substantial embedded software background Graduate Degree with a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. • 3 years of experience with management and leadership background with experience leading full software lifecycle development, including: executing performance appraisals, managing staffing allocation, software process leadership (CMMI), and career development. • 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, and TDD • 5 years of experience with DevOps and a proven track record leading teams to leverage CI/CD pipeline • 8 years of experience leading Software Development through various phases (Design, Coding, Integration, Deployment, Sustainment) • Ability to acquire Secret Clearance Preferred Additional Skills: • Experience as a Lead SW Engineer or Subject Matter Expert on a product development effort • Minimum of 8 years of software development experience with OOD, UML, C/C++, Java, and Web Development • Experience developing or leading Enterprise Software Systems with high availability requirements • Experience with Cloud development and related technologies, like Containers and Cloud Services, and understanding of Cloud Service Models like IaaS, SaaS and PaaS • Experience with ground based command, control, and communications for space based systems. xibtplm • Ability to clearly and succinctly convey information and ideas, including strong executive communication and presentation skills • High expectations for continuous improvement and sustained excellence for self and team members - Lean Six Sigma, data-based decision making, SW performance metrics. • Knowledge of EVMS, prior experience with Control Account Management (CAM) • Certified SCRUM Master, Product Owner, Release Train Engineer or Coach
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes (performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a highly strategic and deeply technical principal PM who can: Define a multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into concrete product requirements and joint go-to-market narratives with Microsoft. Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency, where relevant). Key Responsibilities AI strategy & Roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Please make an application promptly if you are a good match for this role due to high levels of interest. Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & Ecosystem Partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS/container platforms, GPU infrastructure, data/analytics (e.g., Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & Evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate these into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry Segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency requirements. Job Requirements 10+ years of product management experience in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference I/O profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus. Excellent written and verbal communication skills for customers, executives, and engineers. Preferred Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $345,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. xibtplm Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Perfor
08/03/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes (performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a highly strategic and deeply technical principal PM who can: Define a multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into concrete product requirements and joint go-to-market narratives with Microsoft. Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency, where relevant). Key Responsibilities AI strategy & Roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Please make an application promptly if you are a good match for this role due to high levels of interest. Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & Ecosystem Partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS/container platforms, GPU infrastructure, data/analytics (e.g., Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & Evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate these into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry Segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency requirements. Job Requirements 10+ years of product management experience in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference I/O profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus. Excellent written and verbal communication skills for customers, executives, and engineers. Preferred Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $345,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. xibtplm Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Perfor
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes (performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a highly strategic and deeply technical principal PM who can: Define a multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into concrete product requirements and joint go-to-market narratives with Microsoft. Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency, where relevant). Key Responsibilities AI strategy & Roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & Ecosystem Partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS/container platforms, GPU infrastructure, data/analytics (e.g., Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & Evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate these into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry Segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency requirements. Job Requirements 10+ years of product management experience in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference I/O profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus. Excellent written and verbal communication skills for customers, executives, and engineers. Preferred Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $345,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
08/03/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes (performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a highly strategic and deeply technical principal PM who can: Define a multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into concrete product requirements and joint go-to-market narratives with Microsoft. Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency, where relevant). Key Responsibilities AI strategy & Roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & Ecosystem Partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS/container platforms, GPU infrastructure, data/analytics (e.g., Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & Evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate these into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry Segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency requirements. Job Requirements 10+ years of product management experience in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference I/O profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus. Excellent written and verbal communication skills for customers, executives, and engineers. Preferred Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $345,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Manager, Software Engineer Job Code: 39849 Job Location: Colorado Springs, CO Job Schedule: 9/80 Job Description: The Technical Manager - Software, Integration & Test Engineering leads and directs a multi-discipline engineering team of approximately 20-30 engineers of various levels of experience across software development, systems integration, verification, validation, and test. This leader must possess extensive knowledge of Software Engineering, Integration and Test Engineering, and associated principles of software development, system integration, verification, validation, and test execution for complex engineering solutions. Provides technical guidance and leadership to subordinate engineers and maintains proper staffing levels and domain expertise to meet business objectives. Develops and conducts programs in accordance with program contractual requirements, company policies, priorities, and budget constraints. Contributes directly to program performance by leveraging technical expertise and experience in software solution architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Leads root cause and corrective action investigations, provides independent review team perspectives, and participates in program reviews. Manages and/or develops budgets for assigned function or department, including operating requirements, training, equipment, lab/test assets, and material purchases. Provides technical oversight and assistance to other departments as required. Makes significant improvements in processes, systems, products, and test capabilities. Manages the implementation of the technical strategy for Software Engineering and Integration & Test and establishes short-term operational plans with measurable contribution to function and program results. Meets functional requirements for hiring, staffing, training, talent development, engagement, retention, and overall management of the department. Responsible for the technical execution, staffing, and oversight of all programs/projects assigned to the organizational unit. Acts as an advisor to subordinate staff members to meet schedules and resolve technical or operational problems spanning software development, system integration, lab execution, verification, and field support. Exerts influence the development of overall objectives and short-term operational plans of the organization. Frequently contacts equivalent-level managers, customer representatives, and program stakeholders concerning projects, operational decisions, scheduling requirements, contractual clarifications, test readiness, system integration planning, and talent development. Works to influence others to accept the function's views or practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. Works with Business Development, Program Management, Systems Engineering, and Business Leadership to provide input for Strategic Planning, Research and Development Planning, test infrastructure planning, and Inter-Corporation Resource Sharing. Stays abreast of state-of-the-art technology; identifies disruptive or emerging technology trends for inclusion in Internal Research and Development or pursuit/program engineering change proposal opportunities. Ability to enable teams to resolve issues across programs, drive innovative solutions, and solve execution and technical challenges on time and within budget. Essential Functions: Lead a multi-discipline engineering team across software development, software integration, system integration, verification, validation, and test to meet customer requirements within allocated cost/scope/schedule commitments. Provide technical and organizational leadership for software development and Integration & Test activities across the full lifecycle, including requirements analysis, architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Oversee planning and execution of integration and test efforts, including test strategy, test readiness, test procedures, test automation, test environments, lab resources, troubleshooting, defect tracking, and requirements sell-off. Participate in architecture, design, code, integration, and test readiness reviews. Collaborate with Systems Engineering, Hardware Engineering, Manufacturing, Quality, Program Management, and Operations to develop reliable, supportable, and testable solutions. Ensure the team follows disciplined engineering and development processes, including Agile software development, systems integration processes, verification planning, and formal test execution practices. Support software and integrated system troubleshooting for units under test, deployed systems, and operational assets, as applicable. Communicate with leadership on status, issues, milestones, technical performance, integration readiness, test results, and successes. Strong technical skillset, able to contribute to requirements analysis, design, code and unit test, integration and test, verification closure, discrepancy resolution, and customer acceptance activities. Drive root cause analysis and corrective action for software, system, and test anomalies. Support development and maintenance of labs, test tools, test automation frameworks, simulators, emulators, and hardware/software integration environments. Lead staffing, mentoring, career development, and performance management for engineers across multiple disciplines. These positions require you to obtain a DoD TS/SCI Clearance, which requires U.S. Citizenship. Lead and support technical proposal development and review for government programs, including solicitation analysis, compliance assessment, technical solution development, cross-functional coordination, risk identification, basis of estimate support, and proposal content review to ensure quality, accuracy, and executable planning. Qualifications: Bachelor's Degree and minimum 12 years prior related experience, including substantial background in software development, system integration, and/or verification and test. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. 3 years of management and leadership experience with demonstrated success leading technical teams across full product lifecycle development, including executing performance appraisals, managing staffing allocation, process leadership, and career development. 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, Kanban, and TDD. 5 years of experience with DevSecOps and a proven track record leading teams to leverage CI/CD pipelines and automated build/test capabilities. 8 years of experience leading or contributing to engineering development through various phases including design, coding, integration, deployment, sustainment, verification, and test. Experience with system integration, verification, validation, test planning, test execution, defect tracking, and troubleshooting in complex development environments. Ability to acquire Top Secret Clearance. Preferred Additional Skills: Experience as a Lead Software Engineer, Integration Lead, Test Lead, Chief Engineer, or Subject Matter Expert on a product development effort. Software development and/or integration and test experience with OOD, UML, C/C++, Java, scripting, test automation, and web development. Experience developing or leading Enterprise Software Systems with high availability requirements. Experience with hardware/software integration, system test, lab architecture, environmental test coordination, and qualification/certification support. Experience with automated test frameworks, test orchestration, data collection, log analysis, and requirements verification/traceability tools. Ability to clearly and succinctly convey information and ideas, including strong executive communication and presentation skills. High expectations for continuous improvement and sustained excellence for self and team members - Lean Six Sigma, data-based decision making, engineering performance metrics, and test effectiveness metrics Certified SCRUM Master, Product Owner, Release Train Engineer, Coach, and/or relevant test or quality certifications. Experience with lab/resource planning, capital planning for test infrastructure, and cross-functional coordination for integration events and formal test campaigns. Familiarity with regulated, mission-critical . click apply for full job details
08/03/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Manager, Software Engineer Job Code: 39849 Job Location: Colorado Springs, CO Job Schedule: 9/80 Job Description: The Technical Manager - Software, Integration & Test Engineering leads and directs a multi-discipline engineering team of approximately 20-30 engineers of various levels of experience across software development, systems integration, verification, validation, and test. This leader must possess extensive knowledge of Software Engineering, Integration and Test Engineering, and associated principles of software development, system integration, verification, validation, and test execution for complex engineering solutions. Provides technical guidance and leadership to subordinate engineers and maintains proper staffing levels and domain expertise to meet business objectives. Develops and conducts programs in accordance with program contractual requirements, company policies, priorities, and budget constraints. Contributes directly to program performance by leveraging technical expertise and experience in software solution architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Leads root cause and corrective action investigations, provides independent review team perspectives, and participates in program reviews. Manages and/or develops budgets for assigned function or department, including operating requirements, training, equipment, lab/test assets, and material purchases. Provides technical oversight and assistance to other departments as required. Makes significant improvements in processes, systems, products, and test capabilities. Manages the implementation of the technical strategy for Software Engineering and Integration & Test and establishes short-term operational plans with measurable contribution to function and program results. Meets functional requirements for hiring, staffing, training, talent development, engagement, retention, and overall management of the department. Responsible for the technical execution, staffing, and oversight of all programs/projects assigned to the organizational unit. Acts as an advisor to subordinate staff members to meet schedules and resolve technical or operational problems spanning software development, system integration, lab execution, verification, and field support. Exerts influence the development of overall objectives and short-term operational plans of the organization. Frequently contacts equivalent-level managers, customer representatives, and program stakeholders concerning projects, operational decisions, scheduling requirements, contractual clarifications, test readiness, system integration planning, and talent development. Works to influence others to accept the function's views or practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. Works with Business Development, Program Management, Systems Engineering, and Business Leadership to provide input for Strategic Planning, Research and Development Planning, test infrastructure planning, and Inter-Corporation Resource Sharing. Stays abreast of state-of-the-art technology; identifies disruptive or emerging technology trends for inclusion in Internal Research and Development or pursuit/program engineering change proposal opportunities. Ability to enable teams to resolve issues across programs, drive innovative solutions, and solve execution and technical challenges on time and within budget. Essential Functions: Lead a multi-discipline engineering team across software development, software integration, system integration, verification, validation, and test to meet customer requirements within allocated cost/scope/schedule commitments. Provide technical and organizational leadership for software development and Integration & Test activities across the full lifecycle, including requirements analysis, architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Oversee planning and execution of integration and test efforts, including test strategy, test readiness, test procedures, test automation, test environments, lab resources, troubleshooting, defect tracking, and requirements sell-off. Participate in architecture, design, code, integration, and test readiness reviews. Collaborate with Systems Engineering, Hardware Engineering, Manufacturing, Quality, Program Management, and Operations to develop reliable, supportable, and testable solutions. Ensure the team follows disciplined engineering and development processes, including Agile software development, systems integration processes, verification planning, and formal test execution practices. Support software and integrated system troubleshooting for units under test, deployed systems, and operational assets, as applicable. Communicate with leadership on status, issues, milestones, technical performance, integration readiness, test results, and successes. Strong technical skillset, able to contribute to requirements analysis, design, code and unit test, integration and test, verification closure, discrepancy resolution, and customer acceptance activities. Drive root cause analysis and corrective action for software, system, and test anomalies. Support development and maintenance of labs, test tools, test automation frameworks, simulators, emulators, and hardware/software integration environments. Lead staffing, mentoring, career development, and performance management for engineers across multiple disciplines. These positions require you to obtain a DoD TS/SCI Clearance, which requires U.S. Citizenship. Lead and support technical proposal development and review for government programs, including solicitation analysis, compliance assessment, technical solution development, cross-functional coordination, risk identification, basis of estimate support, and proposal content review to ensure quality, accuracy, and executable planning. Qualifications: Bachelor's Degree and minimum 12 years prior related experience, including substantial background in software development, system integration, and/or verification and test. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. 3 years of management and leadership experience with demonstrated success leading technical teams across full product lifecycle development, including executing performance appraisals, managing staffing allocation, process leadership, and career development. 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, Kanban, and TDD. 5 years of experience with DevSecOps and a proven track record leading teams to leverage CI/CD pipelines and automated build/test capabilities. 8 years of experience leading or contributing to engineering development through various phases including design, coding, integration, deployment, sustainment, verification, and test. Experience with system integration, verification, validation, test planning, test execution, defect tracking, and troubleshooting in complex development environments. Ability to acquire Top Secret Clearance. Preferred Additional Skills: Experience as a Lead Software Engineer, Integration Lead, Test Lead, Chief Engineer, or Subject Matter Expert on a product development effort. Software development and/or integration and test experience with OOD, UML, C/C++, Java, scripting, test automation, and web development. Experience developing or leading Enterprise Software Systems with high availability requirements. Experience with hardware/software integration, system test, lab architecture, environmental test coordination, and qualification/certification support. Experience with automated test frameworks, test orchestration, data collection, log analysis, and requirements verification/traceability tools. Ability to clearly and succinctly convey information and ideas, including strong executive communication and presentation skills. High expectations for continuous improvement and sustained excellence for self and team members - Lean Six Sigma, data-based decision making, engineering performance metrics, and test effectiveness metrics Certified SCRUM Master, Product Owner, Release Train Engineer, Coach, and/or relevant test or quality certifications. Experience with lab/resource planning, capital planning for test infrastructure, and cross-functional coordination for integration events and formal test campaigns. Familiarity with regulated, mission-critical . click apply for full job details
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Application Security Engineer is responsible for securing the software and applications that Credit Acceptance builds, buys, and operates. This role partners closely with engineering, product, architecture, and business teams to ensure that applications handling sensitive consumer, dealer, and loan data are designed, developed, and deployed in a secure manner, meeting both internal security standards and the regulatory expectations of a financial services environment. This position focuses on embedding security into the software development lifecycle by providing hands on technical guidance, performing threat modeling and application security reviews, defining secure design patterns and guardrails, and supporting engineering teams as they build and maintain modern web, mobile, API, and cloud based applications. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Partner with engineering and architecture teams to design and review application architectures (web, mobile, API, and microservices) for security, privacy, and regulatory compliance. Perform security reviews of applications and services at each stage of the SDLC, including design, code, building pipelines, dependencies, infrastructure as code, and third party components. Identify and mitigate risks such as: Injection, authentication/authorization, injection and session management flaws (OWASP Top 10, ASVS) Insecure handling of NPI, PII, and payment data Management of open source dependency vulnerabilities and software supply chain risks Insecure cloud configurations, secrets management, and exposed APIs Support threat modeling and risk assessments for new and existing applications, assisting teams in implementing practical mitigations. Assess and help mitigate security risks introduced by AI assisted and agentic development tools (e.g., GitHub Copilot, Claude Code, LiteLLM), including review of AI generated code, exposure of source code or secrets to external models, and proper use of internal LLM gateways. Governance, Standards, and Policy Contribute to and operationalize application security standards, secure coding guidelines, and secure design patterns used across the company. Evaluate application security tooling (SAST, DAST, SCA, IAST, secrets scanning, ASPM) and vendors to ensure alignment with security, privacy, and compliance requirements. Support compliance with regulatory and industry frameworks (e.g., PCI DSS, GLBA, NIST SSDF, SOX) in collaboration with legal, compliance, audit, and risk partners. Contribute to standards and guardrails for secure use of AI assisted development tools and agentic coding workflows. Collaboration & Advisory Act as a trusted security advisor to Engineering, Product, and DevOps teams building, maintaining and operating applications at Credit Acceptance. Participate in design reviews, sprint planning, and architecture working sessions focused on secure development and deployment. Provide guidance on the secure use of frameworks, libraries, APIs, authentication systems, and cloud services that interact with company systems and data. Advise engineering teams on safe adoption of AI coding assistants and agentic development tools, including approved usage patterns, data handling expectations, and review of AI generated changes. Continuous Improvement Stay current on application security threats, vulnerabilities, and best practices, including emerging risks across web, mobile, API, and cloud native applications. Recommend improvements to tooling, processes, and controls to strengthen the company's application security posture and shift security left in the SDLC. Contribute to internal documentation, secure coding training, and security enablement for developers and engineering teams. Competencies: Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Required: Bachelor's Degree or equivalent experience 3+ years of experience in application security, product security, or secure software development. 2+ years of hands on experience performing application security reviews, penetration testing, threat modeling, or secure code review. Preferred: Experience securing modern web, mobile, and API based applications in a regulated industry (e.g., financial services, healthcare). Familiarity with the OWASP Top 10, OWASP ASVS, and OWASP SAMM, and with software supply chain frameworks such as SLSA. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerized environments. Knowledge of regulatory and compliance considerations relevant to financial services (e.g., PCI DSS, GLBA, SOX). Experience embedding security into software development workflows (DevSecOps) and CI/CD pipelines. Hands on experience with application security tooling such as SAST, DAST, SCA, IAST, secrets scanning, or ASPM platforms. Relevant certifications (e.g., GWAPT, GWEB, OSWE, CSSLP, CISSP) a plus. Familiarity with security considerations for AI assisted development environments (e.g., GitHub Copilot, Claude Code) and LLM gateway/proxy tooling (e.g., LiteLLM). Knowledge and Skills: Strong understanding of modern software development practices, frameworks, and architectures (web, mobile, API, microservices, serverless). Working knowledge of common application vulnerabilities and exploitation techniques, and the controls that mitigate them. Understanding of authentication, authorization, identity, cryptography, and secure data handling patterns. Familiarity with threat modeling, security testing, and risk assessment techniques. Ability to read and reason about code in one or more common programming languages. Working knowledge of AI assisted and agentic software development tools (e.g., GitHub Copilot, Claude Code, LiteLLM) and the security risks they introduce in the SDLC. Ability to communicate security risks and recommendations clearly to both technical and non technical audiences. Target Compensation: A competitive base salary range from $85,695 - $125,685. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice . click apply for full job details
08/03/2026
Full time
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Application Security Engineer is responsible for securing the software and applications that Credit Acceptance builds, buys, and operates. This role partners closely with engineering, product, architecture, and business teams to ensure that applications handling sensitive consumer, dealer, and loan data are designed, developed, and deployed in a secure manner, meeting both internal security standards and the regulatory expectations of a financial services environment. This position focuses on embedding security into the software development lifecycle by providing hands on technical guidance, performing threat modeling and application security reviews, defining secure design patterns and guardrails, and supporting engineering teams as they build and maintain modern web, mobile, API, and cloud based applications. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Partner with engineering and architecture teams to design and review application architectures (web, mobile, API, and microservices) for security, privacy, and regulatory compliance. Perform security reviews of applications and services at each stage of the SDLC, including design, code, building pipelines, dependencies, infrastructure as code, and third party components. Identify and mitigate risks such as: Injection, authentication/authorization, injection and session management flaws (OWASP Top 10, ASVS) Insecure handling of NPI, PII, and payment data Management of open source dependency vulnerabilities and software supply chain risks Insecure cloud configurations, secrets management, and exposed APIs Support threat modeling and risk assessments for new and existing applications, assisting teams in implementing practical mitigations. Assess and help mitigate security risks introduced by AI assisted and agentic development tools (e.g., GitHub Copilot, Claude Code, LiteLLM), including review of AI generated code, exposure of source code or secrets to external models, and proper use of internal LLM gateways. Governance, Standards, and Policy Contribute to and operationalize application security standards, secure coding guidelines, and secure design patterns used across the company. Evaluate application security tooling (SAST, DAST, SCA, IAST, secrets scanning, ASPM) and vendors to ensure alignment with security, privacy, and compliance requirements. Support compliance with regulatory and industry frameworks (e.g., PCI DSS, GLBA, NIST SSDF, SOX) in collaboration with legal, compliance, audit, and risk partners. Contribute to standards and guardrails for secure use of AI assisted development tools and agentic coding workflows. Collaboration & Advisory Act as a trusted security advisor to Engineering, Product, and DevOps teams building, maintaining and operating applications at Credit Acceptance. Participate in design reviews, sprint planning, and architecture working sessions focused on secure development and deployment. Provide guidance on the secure use of frameworks, libraries, APIs, authentication systems, and cloud services that interact with company systems and data. Advise engineering teams on safe adoption of AI coding assistants and agentic development tools, including approved usage patterns, data handling expectations, and review of AI generated changes. Continuous Improvement Stay current on application security threats, vulnerabilities, and best practices, including emerging risks across web, mobile, API, and cloud native applications. Recommend improvements to tooling, processes, and controls to strengthen the company's application security posture and shift security left in the SDLC. Contribute to internal documentation, secure coding training, and security enablement for developers and engineering teams. Competencies: Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Required: Bachelor's Degree or equivalent experience 3+ years of experience in application security, product security, or secure software development. 2+ years of hands on experience performing application security reviews, penetration testing, threat modeling, or secure code review. Preferred: Experience securing modern web, mobile, and API based applications in a regulated industry (e.g., financial services, healthcare). Familiarity with the OWASP Top 10, OWASP ASVS, and OWASP SAMM, and with software supply chain frameworks such as SLSA. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerized environments. Knowledge of regulatory and compliance considerations relevant to financial services (e.g., PCI DSS, GLBA, SOX). Experience embedding security into software development workflows (DevSecOps) and CI/CD pipelines. Hands on experience with application security tooling such as SAST, DAST, SCA, IAST, secrets scanning, or ASPM platforms. Relevant certifications (e.g., GWAPT, GWEB, OSWE, CSSLP, CISSP) a plus. Familiarity with security considerations for AI assisted development environments (e.g., GitHub Copilot, Claude Code) and LLM gateway/proxy tooling (e.g., LiteLLM). Knowledge and Skills: Strong understanding of modern software development practices, frameworks, and architectures (web, mobile, API, microservices, serverless). Working knowledge of common application vulnerabilities and exploitation techniques, and the controls that mitigate them. Understanding of authentication, authorization, identity, cryptography, and secure data handling patterns. Familiarity with threat modeling, security testing, and risk assessment techniques. Ability to read and reason about code in one or more common programming languages. Working knowledge of AI assisted and agentic software development tools (e.g., GitHub Copilot, Claude Code, LiteLLM) and the security risks they introduce in the SDLC. Ability to communicate security risks and recommendations clearly to both technical and non technical audiences. Target Compensation: A competitive base salary range from $85,695 - $125,685. This position is eligible for an annual variable cash bonus, between 7.5 - 15%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice . click apply for full job details
Job Overview: Pay Range $50hr - $55hr Requirement/Must Have: 6+ years of experience in Java/JEE application development. Strong experience developing applications using multi-tier and distributed architectures. Hands-on experience with Java/JEE, Spring Framework, Spring Boot, REST/SOAP Web Services, Hibernate, SQL, Tomcat, and Application Servers (WebSphere). Strong experience in API design, development, and integration. Experience working with cloud platforms, preferably Google Cloud Platform (GCP); AWS experience is also beneficial. Strong knowledge of cloud-native application development and microservices architecture. Experience with DevOps tools and CI/CD pipelines including Jenkins, SonarQube, Bitbucket, Jira, and Confluence. Good understanding of UML, software architecture, design patterns, and application design principles. Experience with Swagger/OpenAPI specifications, JSON payloads, and RESTful services. Experience with database design, optimization, and integration. Strong experience in responsive design and cross-browser web application development. Experience in unit and integration testing using JUnit and related testing frameworks. Responsibilities: Maintain active relationships with Product Owners and business stakeholders to understand requirements, drive solution design, and review deliverables. Lead requirement gathering and technical Client sessions with customer and internal teams. Own backlog items and coordinate with team members to deliver features planned for each sprint. Perform technical design reviews, code reviews, and architecture assessments. Develop, prototype, and troubleshoot applications across user interface, service, and integration layers. Build proof-of-concepts (POCs), prototypes, and MVP solutions to validate business requirements and technical approaches. Work directly with client stakeholders to analyze business problems and translate them into scalable technical solutions. Design and implement cloud-native applications and integrations leveraging Google Cloud Platform (GCP) services. Collaborate with cross-functional teams including Product, QA, DevOps, Architecture, Security, and Business teams. Drive solution optimization, performance tuning, and continuous improvement initiatives. Perform peer reviews on source code to ensure reusability, scalability, maintainability, and adherence to best practices. Participate in technical discussions focused on software architecture, user experience, design patterns, and development standards. Support production deployments, root cause analysis, troubleshooting, and defect resolution. Demonstrate solutions, features, and technical capabilities to customers and stakeholders. Act as a technical consultant and trusted advisor to customer teams throughout the software delivery lifecycle. Mentor junior developers and provide technical leadership to project teams. Skills: Java. SRE. GCP. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
08/03/2026
Full time
Job Overview: Pay Range $50hr - $55hr Requirement/Must Have: 6+ years of experience in Java/JEE application development. Strong experience developing applications using multi-tier and distributed architectures. Hands-on experience with Java/JEE, Spring Framework, Spring Boot, REST/SOAP Web Services, Hibernate, SQL, Tomcat, and Application Servers (WebSphere). Strong experience in API design, development, and integration. Experience working with cloud platforms, preferably Google Cloud Platform (GCP); AWS experience is also beneficial. Strong knowledge of cloud-native application development and microservices architecture. Experience with DevOps tools and CI/CD pipelines including Jenkins, SonarQube, Bitbucket, Jira, and Confluence. Good understanding of UML, software architecture, design patterns, and application design principles. Experience with Swagger/OpenAPI specifications, JSON payloads, and RESTful services. Experience with database design, optimization, and integration. Strong experience in responsive design and cross-browser web application development. Experience in unit and integration testing using JUnit and related testing frameworks. Responsibilities: Maintain active relationships with Product Owners and business stakeholders to understand requirements, drive solution design, and review deliverables. Lead requirement gathering and technical Client sessions with customer and internal teams. Own backlog items and coordinate with team members to deliver features planned for each sprint. Perform technical design reviews, code reviews, and architecture assessments. Develop, prototype, and troubleshoot applications across user interface, service, and integration layers. Build proof-of-concepts (POCs), prototypes, and MVP solutions to validate business requirements and technical approaches. Work directly with client stakeholders to analyze business problems and translate them into scalable technical solutions. Design and implement cloud-native applications and integrations leveraging Google Cloud Platform (GCP) services. Collaborate with cross-functional teams including Product, QA, DevOps, Architecture, Security, and Business teams. Drive solution optimization, performance tuning, and continuous improvement initiatives. Perform peer reviews on source code to ensure reusability, scalability, maintainability, and adherence to best practices. Participate in technical discussions focused on software architecture, user experience, design patterns, and development standards. Support production deployments, root cause analysis, troubleshooting, and defect resolution. Demonstrate solutions, features, and technical capabilities to customers and stakeholders. Act as a technical consultant and trusted advisor to customer teams throughout the software delivery lifecycle. Mentor junior developers and provide technical leadership to project teams. Skills: Java. SRE. GCP. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! Put AI to work where it changes lives: We are looking for a Staff/Senior Staff Software Engineer for our Enterprise AI Enablement team. You will architect, build and ship the AI engineering systems that use state-of-the-art AI capabilities to power our entire ecosystem - solving problems for dealers, consumers and team members. You will own these systems end to end, from the first conversation with the customer through production deployment, telemetry, and ongoing improvement. Build for leverage: You will design tools, agents, and platform capabilities to be built once and adopted many times across the enterprise. Your goal is not one-off automation, but reusable foundations that enable us to solve new problems faster, with greater consistency and less duplicated effort. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Sit alongside the customers, deeply understand their workflows, locate opportunities, and translate what you learn into impactful products Convert ambiguous problems into production-ready solutions that are adopted across teams Architect, build, and deploy applied AI solutions across high-value enterprise workflows e.g. automation, document intelligence, decision support, fraud intelligence, and intelligent assistants. Agent orchestration: Design and implement agentic orchestration systems that manage agent harnesses, context management, tool binding, reasoning steps, and business logic execution Knowledge retrieval: Apply modern AI retrieval architectures to index, embed, and surface relevant enterprise knowledge as a foundation for agent context Design and develop software and improve existing code to make it more efficient to detect bugs in the code Write unit-tests and validate your software against acceptance criteria Evolve and transform the design and architecture of applications towards leading edge technologies and practices Author, apply and advocate for team coding, documenting and testing standards Conduct impact analysis to proactively identify impact of a change across multiple applications Learn the business process domain to better support the business and align technologies with the business process Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Lead code reviews and communicate application changes Document code and projects so others can easily understand, maintain and support Debug the problems which arise in production and propose effective solutions within the application and across multiple applications Read, write and review design documents Contribute to team's sprint commitments and actively participate in our Agile practices, including recommendations for process improvement Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge Participate in the talent selection process Act as a mentor to guide and review the code, designs and documentation of less experienced software engineers Senior Staff: Act as a trusted technical advisor to senior leadership, anticipating evolving customer needs, framing risks and trade-offs, and bringing clarity to where and how AI should be applied Senior Staff: Frame and drive build vs buy vs reuse decisions across the portfolio Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Staff: Minimum 8 years of software engineering experience or comparable depth of experience Senior Staff: Minimum 10 years of software engineering experience or comparable depth of experience Experience in the lead role overseeing technical direction of a team of software engineering talent across multiple applications Demonstrated experience in engineering AI systems, including LLM-driven and agentic architectures, orchestration frameworks, and tool integration Proven ability to rapidly prototype and take ideas from POC to MVP to production, building and launching net-new products from the ground up Strong understanding and use of one or more object-oriented programming languages and design patterns Practical experience in data modeling, design and messaging Experience working on mission-critical enterprise class applications High ownership and ability to operate in ambiguous environments with a strong bias for action Demonstrated ability to coach and mentor less experienced team members Willingness to participate in an on-call rotation Preferred: Advanced understanding of IDEs, have the ability to navigate through them quickly and leverage advanced features to improve your performance Experience designing and building production AI retrieval systems (e.g. RAG, GraphRAG) Experience building and shipping generative AI systems in production, at scale. Deep expertise in operating AI systems in enterprise environments, including reliability, observability, guardrails, and compliance considerations Experience building context layers for agentic systems, including multi-source blending, context window management, relevance scoring, and context quality evaluation across heterogeneous data sources Experience with AI-oriented data architecture, including vector databases, embedding pipelines, feature stores, data contracts, and knowledge representation patterns such as ontologies and semantic layers Knowledge and Skills: Ability to challenge the status quo and influence stakeholders to create innovative solutions Be collaborative with other team members, seeking a diversity of thought to meet business outcomes Ability to foster strong relationships across the organization Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day Experience and understanding of how to connect the work being done and how it drives business value Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership Target Compensation Staff: A competitive base salary range from $154,837 to $227,095. This position is eligible for an annual variable bonus of cash and equity, between 10-20%. Bonus amounts are based on individual performance. Target Compensation Senior Staff: A competitive base salary range from $182,601 to $267,814. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge . click apply for full job details
08/03/2026
Full time
Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! Put AI to work where it changes lives: We are looking for a Staff/Senior Staff Software Engineer for our Enterprise AI Enablement team. You will architect, build and ship the AI engineering systems that use state-of-the-art AI capabilities to power our entire ecosystem - solving problems for dealers, consumers and team members. You will own these systems end to end, from the first conversation with the customer through production deployment, telemetry, and ongoing improvement. Build for leverage: You will design tools, agents, and platform capabilities to be built once and adopted many times across the enterprise. Your goal is not one-off automation, but reusable foundations that enable us to solve new problems faster, with greater consistency and less duplicated effort. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Sit alongside the customers, deeply understand their workflows, locate opportunities, and translate what you learn into impactful products Convert ambiguous problems into production-ready solutions that are adopted across teams Architect, build, and deploy applied AI solutions across high-value enterprise workflows e.g. automation, document intelligence, decision support, fraud intelligence, and intelligent assistants. Agent orchestration: Design and implement agentic orchestration systems that manage agent harnesses, context management, tool binding, reasoning steps, and business logic execution Knowledge retrieval: Apply modern AI retrieval architectures to index, embed, and surface relevant enterprise knowledge as a foundation for agent context Design and develop software and improve existing code to make it more efficient to detect bugs in the code Write unit-tests and validate your software against acceptance criteria Evolve and transform the design and architecture of applications towards leading edge technologies and practices Author, apply and advocate for team coding, documenting and testing standards Conduct impact analysis to proactively identify impact of a change across multiple applications Learn the business process domain to better support the business and align technologies with the business process Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Lead code reviews and communicate application changes Document code and projects so others can easily understand, maintain and support Debug the problems which arise in production and propose effective solutions within the application and across multiple applications Read, write and review design documents Contribute to team's sprint commitments and actively participate in our Agile practices, including recommendations for process improvement Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge Participate in the talent selection process Act as a mentor to guide and review the code, designs and documentation of less experienced software engineers Senior Staff: Act as a trusted technical advisor to senior leadership, anticipating evolving customer needs, framing risks and trade-offs, and bringing clarity to where and how AI should be applied Senior Staff: Frame and drive build vs buy vs reuse decisions across the portfolio Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Staff: Minimum 8 years of software engineering experience or comparable depth of experience Senior Staff: Minimum 10 years of software engineering experience or comparable depth of experience Experience in the lead role overseeing technical direction of a team of software engineering talent across multiple applications Demonstrated experience in engineering AI systems, including LLM-driven and agentic architectures, orchestration frameworks, and tool integration Proven ability to rapidly prototype and take ideas from POC to MVP to production, building and launching net-new products from the ground up Strong understanding and use of one or more object-oriented programming languages and design patterns Practical experience in data modeling, design and messaging Experience working on mission-critical enterprise class applications High ownership and ability to operate in ambiguous environments with a strong bias for action Demonstrated ability to coach and mentor less experienced team members Willingness to participate in an on-call rotation Preferred: Advanced understanding of IDEs, have the ability to navigate through them quickly and leverage advanced features to improve your performance Experience designing and building production AI retrieval systems (e.g. RAG, GraphRAG) Experience building and shipping generative AI systems in production, at scale. Deep expertise in operating AI systems in enterprise environments, including reliability, observability, guardrails, and compliance considerations Experience building context layers for agentic systems, including multi-source blending, context window management, relevance scoring, and context quality evaluation across heterogeneous data sources Experience with AI-oriented data architecture, including vector databases, embedding pipelines, feature stores, data contracts, and knowledge representation patterns such as ontologies and semantic layers Knowledge and Skills: Ability to challenge the status quo and influence stakeholders to create innovative solutions Be collaborative with other team members, seeking a diversity of thought to meet business outcomes Ability to foster strong relationships across the organization Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day Experience and understanding of how to connect the work being done and how it drives business value Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership Target Compensation Staff: A competitive base salary range from $154,837 to $227,095. This position is eligible for an annual variable bonus of cash and equity, between 10-20%. Bonus amounts are based on individual performance. Target Compensation Senior Staff: A competitive base salary range from $182,601 to $267,814. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge . click apply for full job details
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Manager, Software Engineer Job Code: 39849 Job Location: Colorado Springs, CO Job Schedule: 9/80 Job Description: The Technical Manager - Software, Integration & Test Engineering leads and directs a multi-discipline engineering team of approximately 20-30 engineers of various levels of experience across software development, systems integration, verification, validation, and test. This leader must possess extensive knowledge of Software Engineering, Integration and Test Engineering, and associated principles of software development, system integration, verification, validation, and test execution for complex engineering solutions. Provides technical guidance and leadership to subordinate engineers and maintains proper staffing levels and domain expertise to meet business objectives. Develops and conducts programs in accordance with program contractual requirements, company policies, priorities, and budget constraints. Contributes directly to program performance by leveraging technical expertise and experience in software solution architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Leads root cause and corrective action investigations, provides independent review team perspectives, and participates in program reviews. Manages and/or develops budgets for assigned function or department, including operating requirements, training, equipment, lab/test assets, and material purchases. Provides technical oversight and assistance to other departments as required. Makes significant improvements in processes, systems, products, and test capabilities. Manages the implementation of the technical strategy for Software Engineering and Integration & Test and establishes short-term operational plans with measurable contribution to function and program results. Meets functional requirements for hiring, staffing, training, talent development, engagement, retention, and overall management of the department. Responsible for the technical execution, staffing, and oversight of all programs/projects assigned to the organizational unit. Acts as an advisor to subordinate staff members to meet schedules and resolve technical or operational problems spanning software development, system integration, lab execution, verification, and field support. Exerts influence the development of overall objectives and short-term operational plans of the organization. Frequently contacts equivalent-level managers, customer representatives, and program stakeholders concerning projects, operational decisions, scheduling requirements, contractual clarifications, test readiness, system integration planning, and talent development. Works to influence others to accept the function's views or practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. Works with Business Development, Program Management, Systems Engineering, and Business Leadership to provide input for Strategic Planning, Research and Development Planning, test infrastructure planning, and Inter-Corporation Resource Sharing. Stays abreast of state-of-the-art technology; identifies disruptive or emerging technology trends for inclusion in Internal Research and Development or pursuit/program engineering change proposal opportunities. Ability to enable teams to resolve issues across programs, drive innovative solutions, and solve execution and technical challenges on time and within budget. Essential Functions: Lead a multi-discipline engineering team across software development, software integration, system integration, verification, validation, and test to meet customer requirements within allocated cost/scope/schedule commitments. Provide technical and organizational leadership for software development and Integration & Test activities across the full lifecycle, including requirements analysis, architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Oversee planning and execution of integration and test efforts, including test strategy, test readiness, test procedures, test automation, test environments, lab resources, troubleshooting, defect tracking, and requirements sell-off. Participate in architecture, design, code, integration, and test readiness reviews. Collaborate with Systems Engineering, Hardware Engineering, Manufacturing, Quality, Program Management, and Operations to develop reliable, supportable, and testable solutions. Ensure the team follows disciplined engineering and development processes, including Agile software development, systems integration processes, verification planning, and formal test execution practices. Support software and integrated system troubleshooting for units under test, deployed systems, and operational assets, as applicable. Communicate with leadership on status, issues, milestones, technical performance, integration readiness, test results, and successes. Strong technical skillset, able to contribute to requirements analysis, design, code and unit test, integration and test, verification closure, discrepancy resolution, and customer acceptance activities. Drive root cause analysis and corrective action for software, system, and test anomalies. Support development and maintenance of labs, test tools, test automation frameworks, simulators, emulators, and hardware/software integration environments. Lead staffing, mentoring, career development, and performance management for engineers across multiple disciplines. These positions require you to obtain a DoD TS/SCI Clearance, which requires U.S. Citizenship. Lead and support technical proposal development and review for government programs, including solicitation analysis, compliance assessment, technical solution development, cross-functional coordination, risk identification, basis of estimate support, and proposal content review to ensure quality, accuracy, and executable planning. Qualifications: Bachelor's Degree and minimum 12 years prior related experience, including substantial background in software development, system integration, and/or verification and test. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. 3 years of management and leadership experience with demonstrated success leading technical teams across full product lifecycle development, including executing performance appraisals, managing staffing allocation, process leadership, and career development. 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, Kanban, and TDD. 5 years of experience with DevSecOps and a proven track record leading teams to leverage CI/CD pipelines and automated build/test capabilities. 8 years of experience leading or contributing to engineering development through various phases including design, coding, integration, deployment, sustainment, verification, and test. Experience with system integration, verification, validation, test planning, test execution, defect tracking, and troubleshooting in complex development environments. Ability to acquire Top Secret Clearance. Preferred Additional Skills: Experience as a Lead Software Engineer, Integration Lead, Test Lead, Chief Engineer, or Subject Matter Expert on a product development effort. Software development and/or integration and test experience with OOD, UML, C/C++, Java, scripting, test automation, and web development. Experience developing or leading Enterprise Software Systems with high availability requirements. Experience with hardware/software integration, system test, lab architecture, environmental test coordination, and qualification/certification support. Experience with automated test frameworks, test orchestration, data collection, log analysis, and requirements verification/traceability tools. Ability to clearly and succinctly convey information and ideas, including strong executive communication and presentation skills. High expectations for continuous improvement and sustained excellence for self and team members - Lean Six Sigma, data-based decision making, engineering performance metrics, and test effectiveness metrics Certified SCRUM Master, Product Owner, Release Train Engineer, Coach, and/or relevant test or quality certifications. Experience with lab/resource planning, capital planning for test infrastructure, and cross-functional coordination for integration events and formal test campaigns. Familiarity with regulated, mission-critical . click apply for full job details
08/03/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Manager, Software Engineer Job Code: 39849 Job Location: Colorado Springs, CO Job Schedule: 9/80 Job Description: The Technical Manager - Software, Integration & Test Engineering leads and directs a multi-discipline engineering team of approximately 20-30 engineers of various levels of experience across software development, systems integration, verification, validation, and test. This leader must possess extensive knowledge of Software Engineering, Integration and Test Engineering, and associated principles of software development, system integration, verification, validation, and test execution for complex engineering solutions. Provides technical guidance and leadership to subordinate engineers and maintains proper staffing levels and domain expertise to meet business objectives. Develops and conducts programs in accordance with program contractual requirements, company policies, priorities, and budget constraints. Contributes directly to program performance by leveraging technical expertise and experience in software solution architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Leads root cause and corrective action investigations, provides independent review team perspectives, and participates in program reviews. Manages and/or develops budgets for assigned function or department, including operating requirements, training, equipment, lab/test assets, and material purchases. Provides technical oversight and assistance to other departments as required. Makes significant improvements in processes, systems, products, and test capabilities. Manages the implementation of the technical strategy for Software Engineering and Integration & Test and establishes short-term operational plans with measurable contribution to function and program results. Meets functional requirements for hiring, staffing, training, talent development, engagement, retention, and overall management of the department. Responsible for the technical execution, staffing, and oversight of all programs/projects assigned to the organizational unit. Acts as an advisor to subordinate staff members to meet schedules and resolve technical or operational problems spanning software development, system integration, lab execution, verification, and field support. Exerts influence the development of overall objectives and short-term operational plans of the organization. Frequently contacts equivalent-level managers, customer representatives, and program stakeholders concerning projects, operational decisions, scheduling requirements, contractual clarifications, test readiness, system integration planning, and talent development. Works to influence others to accept the function's views or practices and agree/accept new concepts, practices, and approaches. Requires ability to communicate with executive leadership regarding matters of significant importance to the organization. Works with Business Development, Program Management, Systems Engineering, and Business Leadership to provide input for Strategic Planning, Research and Development Planning, test infrastructure planning, and Inter-Corporation Resource Sharing. Stays abreast of state-of-the-art technology; identifies disruptive or emerging technology trends for inclusion in Internal Research and Development or pursuit/program engineering change proposal opportunities. Ability to enable teams to resolve issues across programs, drive innovative solutions, and solve execution and technical challenges on time and within budget. Essential Functions: Lead a multi-discipline engineering team across software development, software integration, system integration, verification, validation, and test to meet customer requirements within allocated cost/scope/schedule commitments. Provide technical and organizational leadership for software development and Integration & Test activities across the full lifecycle, including requirements analysis, architecture, design, implementation, integration, verification, validation, qualification, deployment, and sustainment. Oversee planning and execution of integration and test efforts, including test strategy, test readiness, test procedures, test automation, test environments, lab resources, troubleshooting, defect tracking, and requirements sell-off. Participate in architecture, design, code, integration, and test readiness reviews. Collaborate with Systems Engineering, Hardware Engineering, Manufacturing, Quality, Program Management, and Operations to develop reliable, supportable, and testable solutions. Ensure the team follows disciplined engineering and development processes, including Agile software development, systems integration processes, verification planning, and formal test execution practices. Support software and integrated system troubleshooting for units under test, deployed systems, and operational assets, as applicable. Communicate with leadership on status, issues, milestones, technical performance, integration readiness, test results, and successes. Strong technical skillset, able to contribute to requirements analysis, design, code and unit test, integration and test, verification closure, discrepancy resolution, and customer acceptance activities. Drive root cause analysis and corrective action for software, system, and test anomalies. Support development and maintenance of labs, test tools, test automation frameworks, simulators, emulators, and hardware/software integration environments. Lead staffing, mentoring, career development, and performance management for engineers across multiple disciplines. These positions require you to obtain a DoD TS/SCI Clearance, which requires U.S. Citizenship. Lead and support technical proposal development and review for government programs, including solicitation analysis, compliance assessment, technical solution development, cross-functional coordination, risk identification, basis of estimate support, and proposal content review to ensure quality, accuracy, and executable planning. Qualifications: Bachelor's Degree and minimum 12 years prior related experience, including substantial background in software development, system integration, and/or verification and test. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. 3 years of management and leadership experience with demonstrated success leading technical teams across full product lifecycle development, including executing performance appraisals, managing staffing allocation, process leadership, and career development. 5 years of experience with Software Development methodologies like Agile/Scrum, Agile/SAFe, Waterfall, Kanban, and TDD. 5 years of experience with DevSecOps and a proven track record leading teams to leverage CI/CD pipelines and automated build/test capabilities. 8 years of experience leading or contributing to engineering development through various phases including design, coding, integration, deployment, sustainment, verification, and test. Experience with system integration, verification, validation, test planning, test execution, defect tracking, and troubleshooting in complex development environments. Ability to acquire Top Secret Clearance. Preferred Additional Skills: Experience as a Lead Software Engineer, Integration Lead, Test Lead, Chief Engineer, or Subject Matter Expert on a product development effort. Software development and/or integration and test experience with OOD, UML, C/C++, Java, scripting, test automation, and web development. Experience developing or leading Enterprise Software Systems with high availability requirements. Experience with hardware/software integration, system test, lab architecture, environmental test coordination, and qualification/certification support. Experience with automated test frameworks, test orchestration, data collection, log analysis, and requirements verification/traceability tools. Ability to clearly and succinctly convey information and ideas, including strong executive communication and presentation skills. High expectations for continuous improvement and sustained excellence for self and team members - Lean Six Sigma, data-based decision making, engineering performance metrics, and test effectiveness metrics Certified SCRUM Master, Product Owner, Release Train Engineer, Coach, and/or relevant test or quality certifications. Experience with lab/resource planning, capital planning for test infrastructure, and cross-functional coordination for integration events and formal test campaigns. Familiarity with regulated, mission-critical . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms. Key Responsibilities Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency. Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure. Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results). Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards. Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization. Rapid AI prototyping and iteration with product representatives to vet multiple concepts We are unable to provide sponsorship for this role presently or in the future. Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area. Minimum Qualifications 10+ years of software engineering experience, with 4+ years in AI/ML development preferred. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills 2+ years of experience building AI solutions in healthcare or life sciences. Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR). Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization. LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic , Semantic Kernel, LangChain , LlamaIndex , and vector databases. Experienced in creating custom AI agents or spec-driven tools. Experience writing skills for Claude, Copilot, Codex etc. Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking. Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks. Preferred Skills Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch , and healthcare-specific AI libraries. Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams. Experience mentoring and developing juniors in development an AI concepts/best practices. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/03/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms. Key Responsibilities Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency. Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure. Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results). Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards. Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization. Rapid AI prototyping and iteration with product representatives to vet multiple concepts We are unable to provide sponsorship for this role presently or in the future. Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area. Minimum Qualifications 10+ years of software engineering experience, with 4+ years in AI/ML development preferred. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills 2+ years of experience building AI solutions in healthcare or life sciences. Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR). Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization. LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic , Semantic Kernel, LangChain , LlamaIndex , and vector databases. Experienced in creating custom AI agents or spec-driven tools. Experience writing skills for Claude, Copilot, Codex etc. Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking. Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks. Preferred Skills Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch , and healthcare-specific AI libraries. Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams. Experience mentoring and developing juniors in development an AI concepts/best practices. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms. Key Responsibilities Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency. Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure. Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results). Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards. Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization. Rapid AI prototyping and iteration with product representatives to vet multiple concepts We are unable to provide sponsorship for this role presently or in the future. Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area. Minimum Qualifications 10+ years of software engineering experience, with 4+ years in AI/ML development preferred. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills 2+ years of experience building AI solutions in healthcare or life sciences. Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR). Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization. LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic , Semantic Kernel, LangChain , LlamaIndex , and vector databases. Experienced in creating custom AI agents or spec-driven tools. Experience writing skills for Claude, Copilot, Codex etc. Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking. Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks. Preferred Skills Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch , and healthcare-specific AI libraries. Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams. Experience mentoring and developing juniors in development an AI concepts/best practices. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/03/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms. Key Responsibilities Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency. Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure. Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results). Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards. Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization. Rapid AI prototyping and iteration with product representatives to vet multiple concepts We are unable to provide sponsorship for this role presently or in the future. Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area. Minimum Qualifications 10+ years of software engineering experience, with 4+ years in AI/ML development preferred. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills 2+ years of experience building AI solutions in healthcare or life sciences. Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR). Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization. LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic , Semantic Kernel, LangChain , LlamaIndex , and vector databases. Experienced in creating custom AI agents or spec-driven tools. Experience writing skills for Claude, Copilot, Codex etc. Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking. Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks. Preferred Skills Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch , and healthcare-specific AI libraries. Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams. Experience mentoring and developing juniors in development an AI concepts/best practices. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
07/14/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
