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Principal Data Engineer
BC Forward Farmington Hills, Michigan
Job Title: Senior Data Engineer Location:Farmington Hills MI Duration: Contract - 4 months Pay Range: $75/hr to $85/hr (W2) Job ID: 411881 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Data Engineer to join our Wealth & Asset Management team. The ideal candidate will have strong experience in designing, building, and supporting scalable and secure data platforms across structured and unstructured data and a proven ability to deliver performant ingestion, transformation, storage, integration, governance, and processing solutions for enterprise applications. Responsibilities: Design and develop scalable data ingestion and ETL/ELT pipelines. Build solutions for structured, semi-structured, and unstructured data. Develop reusable data-processing and transformation components using Python and SQL. Design and support data models using PostgreSQL, Amazon RDS, DynamoDB, and Amazon S3. Support document ingestion and extraction using Amazon Textract, where applicable. Prepare and transform data for application, search, analytics, and AI-enabled use cases. Support vector-based retrieval using PostgreSQL/pgvector, where required. Implement data quality, validation, reconciliation, metadata, lineage, retention, and governance controls. Implement secure data access and encryption for sensitive information. Optimize data pipelines and databases for performance, reliability, scalability, and cost. Implement monitoring and troubleshoot data-processing and integration issues. Collaborate with application, AI, DevOps, architecture, cybersecurity, and business teams. Required Skills & Qualifications: Expertise in Python and SQL for data engineering. Hands-on experience with PostgreSQL, Amazon RDS, DynamoDB, and Amazon S3. Proven delivery of ETL/ELT pipelines and data-processing workflows. Proficiency with data modeling, APIs, JSON, Parquet, and pgvector. Strong knowledge of data quality, metadata, governance, security, and operational monitoring. Experience in large enterprise or regulated environments. Background supporting document-processing and AI-enabled data solutions. Experience level e.g., 8+ years in relevant roles. Preferred Skills: Experience with AWS-native data services and serverless patterns. Prior work in Agile/Scrum settings and CI/CD-driven data delivery. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
11/10/2026
Full time
Job Title: Senior Data Engineer Location:Farmington Hills MI Duration: Contract - 4 months Pay Range: $75/hr to $85/hr (W2) Job ID: 411881 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Data Engineer to join our Wealth & Asset Management team. The ideal candidate will have strong experience in designing, building, and supporting scalable and secure data platforms across structured and unstructured data and a proven ability to deliver performant ingestion, transformation, storage, integration, governance, and processing solutions for enterprise applications. Responsibilities: Design and develop scalable data ingestion and ETL/ELT pipelines. Build solutions for structured, semi-structured, and unstructured data. Develop reusable data-processing and transformation components using Python and SQL. Design and support data models using PostgreSQL, Amazon RDS, DynamoDB, and Amazon S3. Support document ingestion and extraction using Amazon Textract, where applicable. Prepare and transform data for application, search, analytics, and AI-enabled use cases. Support vector-based retrieval using PostgreSQL/pgvector, where required. Implement data quality, validation, reconciliation, metadata, lineage, retention, and governance controls. Implement secure data access and encryption for sensitive information. Optimize data pipelines and databases for performance, reliability, scalability, and cost. Implement monitoring and troubleshoot data-processing and integration issues. Collaborate with application, AI, DevOps, architecture, cybersecurity, and business teams. Required Skills & Qualifications: Expertise in Python and SQL for data engineering. Hands-on experience with PostgreSQL, Amazon RDS, DynamoDB, and Amazon S3. Proven delivery of ETL/ELT pipelines and data-processing workflows. Proficiency with data modeling, APIs, JSON, Parquet, and pgvector. Strong knowledge of data quality, metadata, governance, security, and operational monitoring. Experience in large enterprise or regulated environments. Background supporting document-processing and AI-enabled data solutions. Experience level e.g., 8+ years in relevant roles. Preferred Skills: Experience with AWS-native data services and serverless patterns. Prior work in Agile/Scrum settings and CI/CD-driven data delivery. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
Senior ServiceNow Developer
ITC Digital Solutions, LLC.
ITC Digital Solutions is dedicated to supporting federal agencies through innovative technology solutions that drive mission success. We are seeking a highly motivated, mission-focused Senior ServiceNow Developer to join our growing team supporting a federal customer. This is an exciting opportunity to work on enterprise ServiceNow implementations that enhance operational efficiency, improve service delivery, and support critical government missions. As a Senior ServiceNow Developer, you will play a key role in designing, developing, configuring, and implementing ServiceNow applications and enhancements. You will collaborate closely with stakeholders, administrators, architects, and business teams to deliver scalable solutions while ensuring adherence to platform best practices and development standards. Key Responsibilities Design, develop, configure, and implement ServiceNow applications, modules, and enhancements. Work independently and collaboratively as a senior member of a technical delivery team. Support multiple ServiceNow instances and domains for internal and external customers. Participate in Agile/Scrum ceremonies and contribute to iterative development efforts. Provide technical guidance on ServiceNow design, architecture, development standards, and platform best practices. Collaborate with business, systems, and technology stakeholders to gather, analyze, and translate requirements into technical solutions. Develop and maintain custom ServiceNow functionality, workflows, and integrations. Create and maintain: Business Rules Script Includes Client Scripts Access Control Lists (ACLs) Workflow Activities UI Policies Catalog Items and Catalog Workflows Support deployment and rollout activities for new applications and enhancements. Troubleshoot platform issues and identify opportunities to improve system performance, scalability, and reliability. Ensure solutions align with security, governance, and federal compliance requirements. Contribute to documentation, knowledge transfer, and continuous process improvement initiatives. Required Qualifications Must be able to obtain a U.S. government security clearance. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). 5+ years of hands-on ServiceNow development experience. Demonstrated experience supporting federal government clients and programs. Strong experience developing custom ServiceNow solutions using JavaScript and platform scripting capabilities. Experience working in Agile/Scrum development environments. Strong analytical, troubleshooting, and problem-solving skills. Ability to communicate effectively with both technical and non-technical stakeholders. Experience translating business requirements into technical designs and implemented solutions. Preferred Qualifications Deep knowledge of the ServiceNow platform and core modules, including: Service Catalog Service Portal Incident Management Knowledge Management Reporting and Dashboards Experience with IT Service Management (ITSM), IT Asset Management (ITAM), and Configuration Management Database (CMDB) processes. Knowledge of ITIL best practices and service management frameworks. Familiarity with PMP, PRINCE2, or related project management methodologies. Experience supporting enterprise-scale ServiceNow environments. Experience performing data analysis, data modeling, and working with large datasets. Understanding of software development lifecycle (SDLC) principles and enterprise application support. Experience with platform performance monitoring, optimization, and governance. Preferred Certifications ServiceNow Certified Application Developer (CAD) Additional ServiceNow certifications are highly desirable ITIL Foundation Certification preferred About ITC Digital Solutions: ITC Digital Solutions, a division of ITC Federal, delivers advanced technology solutions that help federal agencies modernize systems, harness data and AI, and adopt emerging technologies to advance their missions. Building on more than two decades of public sector experience, the team brings deep expertise in IT strategy, application development and testing, digital modernization, data and AI, and technology transformation across civilian, health, national security, and defense agencies. Disclaimer All qualified applicants will be considered for employment based on their skills and merit. Please be aware that ITC may capture your image (video or screenshot) during the interview process, and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the U.S. must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the U.S. by ITC. ITC discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors considered in making compensation decisions, including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales- or revenue-based metrics, and business or organizational needs. At ITC, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120,000-$150,000. Full-time regular employees are eligible for paid time off, medical, dental, and vision insurance, a 401(k), and any other benefits available to eligible employees. Note: No amount of pay is considered wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with applicable law. Equal Opportunity Employer/Protected Veterans The contractor will not discharge or otherwise discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions may not disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge; (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer; or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c).
11/10/2026
Full time
ITC Digital Solutions is dedicated to supporting federal agencies through innovative technology solutions that drive mission success. We are seeking a highly motivated, mission-focused Senior ServiceNow Developer to join our growing team supporting a federal customer. This is an exciting opportunity to work on enterprise ServiceNow implementations that enhance operational efficiency, improve service delivery, and support critical government missions. As a Senior ServiceNow Developer, you will play a key role in designing, developing, configuring, and implementing ServiceNow applications and enhancements. You will collaborate closely with stakeholders, administrators, architects, and business teams to deliver scalable solutions while ensuring adherence to platform best practices and development standards. Key Responsibilities Design, develop, configure, and implement ServiceNow applications, modules, and enhancements. Work independently and collaboratively as a senior member of a technical delivery team. Support multiple ServiceNow instances and domains for internal and external customers. Participate in Agile/Scrum ceremonies and contribute to iterative development efforts. Provide technical guidance on ServiceNow design, architecture, development standards, and platform best practices. Collaborate with business, systems, and technology stakeholders to gather, analyze, and translate requirements into technical solutions. Develop and maintain custom ServiceNow functionality, workflows, and integrations. Create and maintain: Business Rules Script Includes Client Scripts Access Control Lists (ACLs) Workflow Activities UI Policies Catalog Items and Catalog Workflows Support deployment and rollout activities for new applications and enhancements. Troubleshoot platform issues and identify opportunities to improve system performance, scalability, and reliability. Ensure solutions align with security, governance, and federal compliance requirements. Contribute to documentation, knowledge transfer, and continuous process improvement initiatives. Required Qualifications Must be able to obtain a U.S. government security clearance. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). 5+ years of hands-on ServiceNow development experience. Demonstrated experience supporting federal government clients and programs. Strong experience developing custom ServiceNow solutions using JavaScript and platform scripting capabilities. Experience working in Agile/Scrum development environments. Strong analytical, troubleshooting, and problem-solving skills. Ability to communicate effectively with both technical and non-technical stakeholders. Experience translating business requirements into technical designs and implemented solutions. Preferred Qualifications Deep knowledge of the ServiceNow platform and core modules, including: Service Catalog Service Portal Incident Management Knowledge Management Reporting and Dashboards Experience with IT Service Management (ITSM), IT Asset Management (ITAM), and Configuration Management Database (CMDB) processes. Knowledge of ITIL best practices and service management frameworks. Familiarity with PMP, PRINCE2, or related project management methodologies. Experience supporting enterprise-scale ServiceNow environments. Experience performing data analysis, data modeling, and working with large datasets. Understanding of software development lifecycle (SDLC) principles and enterprise application support. Experience with platform performance monitoring, optimization, and governance. Preferred Certifications ServiceNow Certified Application Developer (CAD) Additional ServiceNow certifications are highly desirable ITIL Foundation Certification preferred About ITC Digital Solutions: ITC Digital Solutions, a division of ITC Federal, delivers advanced technology solutions that help federal agencies modernize systems, harness data and AI, and adopt emerging technologies to advance their missions. Building on more than two decades of public sector experience, the team brings deep expertise in IT strategy, application development and testing, digital modernization, data and AI, and technology transformation across civilian, health, national security, and defense agencies. Disclaimer All qualified applicants will be considered for employment based on their skills and merit. Please be aware that ITC may capture your image (video or screenshot) during the interview process, and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the U.S. must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the U.S. by ITC. ITC discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors considered in making compensation decisions, including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales- or revenue-based metrics, and business or organizational needs. At ITC, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120,000-$150,000. Full-time regular employees are eligible for paid time off, medical, dental, and vision insurance, a 401(k), and any other benefits available to eligible employees. Note: No amount of pay is considered wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with applicable law. Equal Opportunity Employer/Protected Veterans The contractor will not discharge or otherwise discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions may not disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge; (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer; or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c).
Senior Data Analyst - Onsite
Genesis10 New York, New York
Genesis10 is currently seeking a Senior Data Analyst - Onsite for a Contract-to-Hire position with a Major Insurance Company located in New York, NY. Compensation: $75.00 - $85.00 per hour, W2, based on qualifications Position Overview: As a Senior Data Analyst, this role plays a critical part in advancing stakeholder reporting, data quality, and analytical capabilities. This position owns the end-to-end integration of complex policy, claims, underwriting, and financial data into structured data marts. Combining advanced insurance domain expertise with data analysis and engineering, the ideal candidate will solve complex data challenges, influence decision-making, and identify opportunities to improve operational effectiveness. Key Responsibilities: Design advanced analyses and metrics leveraging AI tools and technology to improve performance, scalability, and reusability of datasets and dashboards Transform complex business requirements into scalable data solutions, analytical frameworks, and actionable insights Analyze policy, claims, underwriting, financial, and operational data to ensure accuracy, completeness, consistency, and regulatory compliance Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets Partner with Data Engineering and Application teams to design and implement data enrichment, transformation, and integration solutions Own data preparation, validation, and reconciliation activities supporting statutory reporting, regulatory filings, and audits Independently diagnose data quality, integration, and reporting issues across multiple systems Build strong partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, and Data Engineering teams Effectively communicate complex analytical findings to both technical and non-technical audiences Mentor and provide guidance to other analysts Primary Requirements: Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field 5+ years of progressive experience in data analysis, business intelligence, analytics, or regulatory reporting Demonstrated experience supporting regulatory, statutory, compliance, or financial reporting processes Strong knowledge of insurance operations and data structures across policy, claims, underwriting, accounting, or finance Advanced proficiency in SQL and experience working with large-scale relational databases and data warehouses Experience with cloud-based data platforms such as Snowflake Experience performing complex data analysis, reconciliation, root-cause investigation, and data quality assessments Proven ability to influence stakeholders and collaborate effectively across technical and business teams Strong verbal, written, presentation, and data storytelling skills Familiarity with AI concepts Strong SQL and a solid understanding of core data warehouse concepts, including data modeling, integration, reconciliation, and data quality An analytics mindset, with the ability to translate business questions into data analysis and actionable insights Data engineering experience is valuable, but not looking for a deeply specialized data engineer. Desired Skills: Master's degree in a quantitative, analytical, or business-related discipline Property & Casualty insurance industry experience, including good working knowledge of P&C insurance fundamentals, particularly policy and claims data and the ability to understand the business meaning behind the data Experience with Python, Power BI, or similar analytical and visualization platforms Experience with data governance frameworks, metadata management, data lineage, and data quality programs Intermediate or advanced Property & Casualty insurance designations (CPCU, AINS, AU, API, or equivalent) Experience partnering with Actuarial teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/10/2026
Full time
Genesis10 is currently seeking a Senior Data Analyst - Onsite for a Contract-to-Hire position with a Major Insurance Company located in New York, NY. Compensation: $75.00 - $85.00 per hour, W2, based on qualifications Position Overview: As a Senior Data Analyst, this role plays a critical part in advancing stakeholder reporting, data quality, and analytical capabilities. This position owns the end-to-end integration of complex policy, claims, underwriting, and financial data into structured data marts. Combining advanced insurance domain expertise with data analysis and engineering, the ideal candidate will solve complex data challenges, influence decision-making, and identify opportunities to improve operational effectiveness. Key Responsibilities: Design advanced analyses and metrics leveraging AI tools and technology to improve performance, scalability, and reusability of datasets and dashboards Transform complex business requirements into scalable data solutions, analytical frameworks, and actionable insights Analyze policy, claims, underwriting, financial, and operational data to ensure accuracy, completeness, consistency, and regulatory compliance Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets Partner with Data Engineering and Application teams to design and implement data enrichment, transformation, and integration solutions Own data preparation, validation, and reconciliation activities supporting statutory reporting, regulatory filings, and audits Independently diagnose data quality, integration, and reporting issues across multiple systems Build strong partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, and Data Engineering teams Effectively communicate complex analytical findings to both technical and non-technical audiences Mentor and provide guidance to other analysts Primary Requirements: Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field 5+ years of progressive experience in data analysis, business intelligence, analytics, or regulatory reporting Demonstrated experience supporting regulatory, statutory, compliance, or financial reporting processes Strong knowledge of insurance operations and data structures across policy, claims, underwriting, accounting, or finance Advanced proficiency in SQL and experience working with large-scale relational databases and data warehouses Experience with cloud-based data platforms such as Snowflake Experience performing complex data analysis, reconciliation, root-cause investigation, and data quality assessments Proven ability to influence stakeholders and collaborate effectively across technical and business teams Strong verbal, written, presentation, and data storytelling skills Familiarity with AI concepts Strong SQL and a solid understanding of core data warehouse concepts, including data modeling, integration, reconciliation, and data quality An analytics mindset, with the ability to translate business questions into data analysis and actionable insights Data engineering experience is valuable, but not looking for a deeply specialized data engineer. Desired Skills: Master's degree in a quantitative, analytical, or business-related discipline Property & Casualty insurance industry experience, including good working knowledge of P&C insurance fundamentals, particularly policy and claims data and the ability to understand the business meaning behind the data Experience with Python, Power BI, or similar analytical and visualization platforms Experience with data governance frameworks, metadata management, data lineage, and data quality programs Intermediate or advanced Property & Casualty insurance designations (CPCU, AINS, AU, API, or equivalent) Experience partnering with Actuarial teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Staff Machine Learning Engineer, Platform (MLOPS)
Credit Acceptance Corporation San Francisco, California
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. 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, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. 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 . click apply for full job details
11/10/2026
Full time
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. 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, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. 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 . click apply for full job details
HP
Retail Software Engineer
HP Spring, Texas
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Retail Software Engineer Description - This role will lead the development of AI-powered mobile experiences for the retail industry. You will partner with the product owner, subject matter experts, and customers to translate requirements into working software. Combine hands-on expertise in AI applications, agent harnesses, model inference, and Android development to create a reliable, scalable commercial product. Responsibilities Lead software development from initial concept and prototypes through production readiness. Contribute directly to implementation across Android applications, backend services, and AI agents. Work with the product owner, subject matter experts, and customers to understand requirements, define acceptance criteria, assess technical trade-offs, and establish development priorities. Collaborate with forward-deployed engineers and customer IT to gather feedback, validate features, troubleshoot integration issues, and develop fixes. Incorporate findings into ongoing development. Build and maintain agent harnesses that connect AI models with context, tools, memory, permissions, and workflows. Support multi-step execution, task interruptions, recovery, and human approvals. Select, integrate, and evaluate AI models for reasoning, tool use, and vision. Optimize inference quality, latency, reliability, and cost across cloud and edge environments. Develop Android applications for retail handhelds and tablets, including adaptive interfaces, voice, camera, scanning, and payments. Connect applications securely to enterprise systems through APIs, events, and adapters. Establish engineering practices for AI-assisted coding, code review, automated testing, security, continuous integration, and releases. Ensure generated code is verified, and the software can be monitored and supported. Mentor engineers, review designs and code, and lead technical issue resolution. Turn recurring customer requirements into reusable capabilities that support a maintainable, scalable commercial product. Education and Experience Required Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 8+ years of software engineering experience, including technical leadership and hands-on development of new products from concept through production. Demonstrated experience building AI applications using large language models, agent frameworks or harnesses, tool calling, retrieval, inference, and evaluation. Strong experience developing Android applications and integrating mobile software with backend services, enterprise systems, and device capabilities. Experience working with customers, customer IT, or customer-facing engineers to develop features and resolve technical issues. Practical use of AI-assisted development tools is required; retail technology experience is preferred. Knowledge and Skills Strong understanding of AI application architecture and how models, agent harnesses, context, retrieval, memory, and tools work together to complete tasks. Practical knowledge of model selection and inference trade-offs, including accuracy, latency, throughput, cost, privacy, and cloud versus on-device execution. Strong Android skills, preferably Kotlin and Jetpack Compose, including context-aware interfaces, device APIs, intermittent connectivity, and workflow interruption and recovery. Strong mobile and backend engineering skills, including APIs, distributed systems, and enterprise integration that preserves existing business rules and transaction integrity. Proficiency with AI-assisted coding and agentic development tools, including preparing context, breaking down tasks, reviewing generated code, debugging, and verifying results. Ability to translate customer specifications into technical designs and acceptance tests, diagnose failures, and evaluate AI workflows against realistic tasks and measurable outcomes. Knowledge of secure software development, authentication, authorization, data privacy, audit logging, automated testing, continuous integration, and release management. Clear communication, strong technical judgment, and effective mentoring skills. Ability to manage evolving requirements and work across teams while balancing customer needs with long-term product maintainability. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/10/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Retail Software Engineer Description - This role will lead the development of AI-powered mobile experiences for the retail industry. You will partner with the product owner, subject matter experts, and customers to translate requirements into working software. Combine hands-on expertise in AI applications, agent harnesses, model inference, and Android development to create a reliable, scalable commercial product. Responsibilities Lead software development from initial concept and prototypes through production readiness. Contribute directly to implementation across Android applications, backend services, and AI agents. Work with the product owner, subject matter experts, and customers to understand requirements, define acceptance criteria, assess technical trade-offs, and establish development priorities. Collaborate with forward-deployed engineers and customer IT to gather feedback, validate features, troubleshoot integration issues, and develop fixes. Incorporate findings into ongoing development. Build and maintain agent harnesses that connect AI models with context, tools, memory, permissions, and workflows. Support multi-step execution, task interruptions, recovery, and human approvals. Select, integrate, and evaluate AI models for reasoning, tool use, and vision. Optimize inference quality, latency, reliability, and cost across cloud and edge environments. Develop Android applications for retail handhelds and tablets, including adaptive interfaces, voice, camera, scanning, and payments. Connect applications securely to enterprise systems through APIs, events, and adapters. Establish engineering practices for AI-assisted coding, code review, automated testing, security, continuous integration, and releases. Ensure generated code is verified, and the software can be monitored and supported. Mentor engineers, review designs and code, and lead technical issue resolution. Turn recurring customer requirements into reusable capabilities that support a maintainable, scalable commercial product. Education and Experience Required Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 8+ years of software engineering experience, including technical leadership and hands-on development of new products from concept through production. Demonstrated experience building AI applications using large language models, agent frameworks or harnesses, tool calling, retrieval, inference, and evaluation. Strong experience developing Android applications and integrating mobile software with backend services, enterprise systems, and device capabilities. Experience working with customers, customer IT, or customer-facing engineers to develop features and resolve technical issues. Practical use of AI-assisted development tools is required; retail technology experience is preferred. Knowledge and Skills Strong understanding of AI application architecture and how models, agent harnesses, context, retrieval, memory, and tools work together to complete tasks. Practical knowledge of model selection and inference trade-offs, including accuracy, latency, throughput, cost, privacy, and cloud versus on-device execution. Strong Android skills, preferably Kotlin and Jetpack Compose, including context-aware interfaces, device APIs, intermittent connectivity, and workflow interruption and recovery. Strong mobile and backend engineering skills, including APIs, distributed systems, and enterprise integration that preserves existing business rules and transaction integrity. Proficiency with AI-assisted coding and agentic development tools, including preparing context, breaking down tasks, reviewing generated code, debugging, and verifying results. Ability to translate customer specifications into technical designs and acceptance tests, diagnose failures, and evaluate AI workflows against realistic tasks and measurable outcomes. Knowledge of secure software development, authentication, authorization, data privacy, audit logging, automated testing, continuous integration, and release management. Clear communication, strong technical judgment, and effective mentoring skills. Ability to manage evolving requirements and work across teams while balancing customer needs with long-term product maintainability. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
S&P Global
Software Engineering Lead
S&P Global New York, New York
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 About the Role S&P Dow Jones Indices is seeking a highly experienced Lead Software Engineer to play a pivotal role in developing and maintaining our Fixed Income platforms. In this position, you will contribute to building scalable, reliable, and auditable solutions that support our index offerings. You will evaluate emerging technologies, lead system design efforts, and ensure the delivery of high-quality financial applications. This role involves hands-on development, team mentorship, and collaboration across cross-functional teams to drive innovation and operational excellence. The Team Our Fixed Income value stream focuses on delivering robust calculation engines essential for managing our fixed income indices. We operate with a product-first mindset, following Agile principles, and are committed to modernizing our technology stack to meet evolving industry standards. As a leader in this space, you will help shape the future of our index processing capabilities. Responsibilities Design and develop high-performance calculation engines and services for fixed income indices, processing large-scale financial data efficiently. Collaborate with cross-functional teams to implement scalable, reliable solutions supporting critical business operations and client needs. Drive technical excellence through code reviews, architecture discussions, and establishing best practices for system reliability and maintainability. Work within Agile development cycles to deliver features that enhance our fixed income technology platform, aligning with industry standards. Mentor junior developers, fostering technical growth and knowledge sharing within the team. Lead initiatives to modernize existing systems and adopt new technologies to improve performance, scalability, and maintainability. Architect and oversee calculation engines and analytics services, balancing latency, throughput, cost, and accuracy. Implement end-to-end data lineage, reconciliation, anomaly detection, reproducibility, auditability, and version control across analytics models and data inputs/outputs. Lead, mentor, and grow a team of engineers and quantitative developers, setting clear expectations for technical quality and rigor. AI Integration: Design, develop, and deploy AI-driven solutions and machine learning models to enhance financial data processing, anomaly detection, data reconciliation, and advanced analytics. Independent Execution: Operate with a high degree of autonomy, quickly ramping up on complex financial domains and new technologies to drive the platform build-out with minimal oversight. What We're Looking For: Basic Required Qualifications: 10+ years of software development experience with Enterprise Java Development: Java 17/21 or equivalent JVM languages (such as Kotlin, Scala), including concurrency, JVM tuning, and memory management Enterprise Framework Experience: Spring ecosystem (Spring Boot, Spring Cloud, Spring Security) or comparable enterprise frameworks such as Quarkus, Micronaut, or Jakarta EE Distributed Systems Architecture: Microservices design patterns, RESTful API development, and experience with message brokers such as Kafka, RabbitMQ, Apache Pulsar, or Amazon SQS AI Engineering: hands-on experience building, deploying, and integrating AI/ML models, generative AI, or AI-driven analytics into enterprise software platforms Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Extensive experience with SQL and NoSQL database technologies, including but not limited to PostgreSQL, document databases like MongoDB, and distributed databases such as Cassandra. Proven expertise in fixed income system design and analytics. Solid understanding of Agile methodologies and product development lifecycle. Cloud Expertise: Deep, hands-on proficiency with AWS for building scalable, distributed systems and microservices architectures. Autonomy & Agility: Demonstrated ability to work independently, learn complex new systems rapidly, and successfully lead greenfield platform buildouts. Additional Preferred Qualifications: Experience in financial services, especially fixed income securities, indices, or calculation engines. Experience with Python or other scripting languages for data processing and automation. Knowledge of containerization technologies such as Docker, orchestration platforms like Kubernetes, or enterprise container platforms including OpenShift. Experience with CI/CD platforms and DevOps practices using tools such as Jenkins, GitLab CI, or Azure DevOps. Familiarity with performance optimization and high-frequency data processing systems. Experience with AI-augmented software engineering practices and AI coding assistants. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $103,805 - $174,106. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global . click apply for full job details
11/10/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 About the Role S&P Dow Jones Indices is seeking a highly experienced Lead Software Engineer to play a pivotal role in developing and maintaining our Fixed Income platforms. In this position, you will contribute to building scalable, reliable, and auditable solutions that support our index offerings. You will evaluate emerging technologies, lead system design efforts, and ensure the delivery of high-quality financial applications. This role involves hands-on development, team mentorship, and collaboration across cross-functional teams to drive innovation and operational excellence. The Team Our Fixed Income value stream focuses on delivering robust calculation engines essential for managing our fixed income indices. We operate with a product-first mindset, following Agile principles, and are committed to modernizing our technology stack to meet evolving industry standards. As a leader in this space, you will help shape the future of our index processing capabilities. Responsibilities Design and develop high-performance calculation engines and services for fixed income indices, processing large-scale financial data efficiently. Collaborate with cross-functional teams to implement scalable, reliable solutions supporting critical business operations and client needs. Drive technical excellence through code reviews, architecture discussions, and establishing best practices for system reliability and maintainability. Work within Agile development cycles to deliver features that enhance our fixed income technology platform, aligning with industry standards. Mentor junior developers, fostering technical growth and knowledge sharing within the team. Lead initiatives to modernize existing systems and adopt new technologies to improve performance, scalability, and maintainability. Architect and oversee calculation engines and analytics services, balancing latency, throughput, cost, and accuracy. Implement end-to-end data lineage, reconciliation, anomaly detection, reproducibility, auditability, and version control across analytics models and data inputs/outputs. Lead, mentor, and grow a team of engineers and quantitative developers, setting clear expectations for technical quality and rigor. AI Integration: Design, develop, and deploy AI-driven solutions and machine learning models to enhance financial data processing, anomaly detection, data reconciliation, and advanced analytics. Independent Execution: Operate with a high degree of autonomy, quickly ramping up on complex financial domains and new technologies to drive the platform build-out with minimal oversight. What We're Looking For: Basic Required Qualifications: 10+ years of software development experience with Enterprise Java Development: Java 17/21 or equivalent JVM languages (such as Kotlin, Scala), including concurrency, JVM tuning, and memory management Enterprise Framework Experience: Spring ecosystem (Spring Boot, Spring Cloud, Spring Security) or comparable enterprise frameworks such as Quarkus, Micronaut, or Jakarta EE Distributed Systems Architecture: Microservices design patterns, RESTful API development, and experience with message brokers such as Kafka, RabbitMQ, Apache Pulsar, or Amazon SQS AI Engineering: hands-on experience building, deploying, and integrating AI/ML models, generative AI, or AI-driven analytics into enterprise software platforms Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Extensive experience with SQL and NoSQL database technologies, including but not limited to PostgreSQL, document databases like MongoDB, and distributed databases such as Cassandra. Proven expertise in fixed income system design and analytics. Solid understanding of Agile methodologies and product development lifecycle. Cloud Expertise: Deep, hands-on proficiency with AWS for building scalable, distributed systems and microservices architectures. Autonomy & Agility: Demonstrated ability to work independently, learn complex new systems rapidly, and successfully lead greenfield platform buildouts. Additional Preferred Qualifications: Experience in financial services, especially fixed income securities, indices, or calculation engines. Experience with Python or other scripting languages for data processing and automation. Knowledge of containerization technologies such as Docker, orchestration platforms like Kubernetes, or enterprise container platforms including OpenShift. Experience with CI/CD platforms and DevOps practices using tools such as Jenkins, GitLab CI, or Azure DevOps. Familiarity with performance optimization and high-frequency data processing systems. Experience with AI-augmented software engineering practices and AI coding assistants. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $103,805 - $174,106. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global . click apply for full job details
HP
SQA Integration TPM
HP Austin, Texas
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. SQA Integration TPM Description - We are seeking a technically strong, highly motivated Technical Program Manager (TPM) to join our Software Quality organization. The ideal candidate combines a solid software engineering background with strong analytical skills, technical program management experience, and hands-on expertise in AI and automation. We are particularly interested in individuals who embrace emerging technologies, challenge traditional ways of working, and can independently develop AI-powered tools and solutions to improve engineering efficiency and effectiveness. Required Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field. - Strong technical background in software development, firmware, software quality, or systems engineering. - Experience working with complex software systems and cross-functional engineering teams. - Solid understanding of software development lifecycles, CI/CD, version control, software testing, and quality engineering practices. - Experience with Jira, Git, Jenkins, or comparable engineering tools. - Strong scripting or programming skills, preferably Python. - Hands-on experience with generative AI, LLMs, and AI-powered automation. - Ability to design, develop, and integrate AI agents, bots, and automated workflows using APIs and modern AI frameworks. - Strong analytical and problem-solving skills with the ability to evaluate complex technical information. - Excellent communication, organization, and stakeholder management skills. - Ability to work independently, influence cross-functional teams, and drive technical decisions. Preferred Qualifications - Experience with embedded software, Android, Linux, or connected devices. - Background in software integration, SDET, DevOps, or release engineering. - Familiarity with AI agent frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Experience with Model Context Protocol (MCP), tool calling, RAG, and multi-agent workflows. - Experience integrating AI solutions with engineering platforms and development tools. - Knowledge of automated testing frameworks, CI/CD pipelines, and software quality metrics. - Experience applying AI to software development, testing, debugging, or engineering productivity. - Prior technical program management or technical leadership experience. Ideal Candidate Profile We value candidates who are: Technically hands-on: Comfortable understanding code, troubleshooting technical issues, and building practical solutions. AI-native: Actively using AI in their daily work and capable of creating agents and bots, not simply writing prompts. Analytical: Able to assess complex technical problems and make sound, evidence-based decisions. Proactive: Identify opportunities for improvement and take ownership without waiting for instructions. Influential: Confident working with experienced engineers and technical leaders. Adaptable: Comfortable operating in a fast-paced environment with evolving technologies and priorities.- The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/10/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. SQA Integration TPM Description - We are seeking a technically strong, highly motivated Technical Program Manager (TPM) to join our Software Quality organization. The ideal candidate combines a solid software engineering background with strong analytical skills, technical program management experience, and hands-on expertise in AI and automation. We are particularly interested in individuals who embrace emerging technologies, challenge traditional ways of working, and can independently develop AI-powered tools and solutions to improve engineering efficiency and effectiveness. Required Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field. - Strong technical background in software development, firmware, software quality, or systems engineering. - Experience working with complex software systems and cross-functional engineering teams. - Solid understanding of software development lifecycles, CI/CD, version control, software testing, and quality engineering practices. - Experience with Jira, Git, Jenkins, or comparable engineering tools. - Strong scripting or programming skills, preferably Python. - Hands-on experience with generative AI, LLMs, and AI-powered automation. - Ability to design, develop, and integrate AI agents, bots, and automated workflows using APIs and modern AI frameworks. - Strong analytical and problem-solving skills with the ability to evaluate complex technical information. - Excellent communication, organization, and stakeholder management skills. - Ability to work independently, influence cross-functional teams, and drive technical decisions. Preferred Qualifications - Experience with embedded software, Android, Linux, or connected devices. - Background in software integration, SDET, DevOps, or release engineering. - Familiarity with AI agent frameworks such as LangGraph, CrewAI, or Semantic Kernel. - Experience with Model Context Protocol (MCP), tool calling, RAG, and multi-agent workflows. - Experience integrating AI solutions with engineering platforms and development tools. - Knowledge of automated testing frameworks, CI/CD pipelines, and software quality metrics. - Experience applying AI to software development, testing, debugging, or engineering productivity. - Prior technical program management or technical leadership experience. Ideal Candidate Profile We value candidates who are: Technically hands-on: Comfortable understanding code, troubleshooting technical issues, and building practical solutions. AI-native: Actively using AI in their daily work and capable of creating agents and bots, not simply writing prompts. Analytical: Able to assess complex technical problems and make sound, evidence-based decisions. Proactive: Identify opportunities for improvement and take ownership without waiting for instructions. Influential: Confident working with experienced engineers and technical leaders. Adaptable: Comfortable operating in a fast-paced environment with evolving technologies and priorities.- The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
HP
Principal Product Manager, Edge AI, LLM & Agentic Workflows
HP Palo Alto, California
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Product Manager, Edge AI, LLM & Agentic Workflows Description - Role Overview The Principal Product Manager defines product strategy and drives delivery of Edge AI solutions for large language models (LLMs) and agentic workflows, including the inference software capabilities needed to deploy, orchestrate, and operate these workloads in enterprise environments. Within HP's Edge & AI solutions organization, this role owns the vision, roadmap, requirements, and product outcomes for assigned LLM and agentic inference capabilities. You will partner with engineering, peer product managers, hardware teams, services teams, and ecosystem partners to deliver integrated solutions. The role defines workload requirements and evaluates deployment trade-offs with hardware partners but does not own hardware products or hardware roadmaps. The role combines strategic product leadership with practical execution through customer discovery, technical requirements, prioritization, and deployment validation. You will translate internal and external customer needs into capabilities that help organizations deploy, manage, and scale AI closer to their users, operations, and data. Key responsibilities: Product Strategy & Customer Discovery Define the product vision, strategy, and roadmap for assigned LLM and agentic inference capabilities, aligned with HP's broader Edge AI strategy. Coordinate shared capabilities and dependencies with peer product managers. Use customer discovery, market insights, competitive analysis, and business cases to prioritize enterprise opportunities for LLM applications, AI agents, and workflow automation. Validate customer needs, target users, deployment requirements, and expected business value before committing to solution investments. Solutions Definition Define software capabilities and integration requirements for LLM and agentic inference solutions across local, on-premises, and hybrid environments. Partner with hardware and services owners to ensure the overall solution meets workload and customer requirements. Establish requirements for model serving and assigned inference software stack capabilities, including deployment, runtime compatibility, scaling, support for relevant inference backends, and integration with HP Z Runtime where applicable. Work with engineering and hardware partners to evaluate workload requirements and trade-offs across compute, memory, acceleration, connectivity, performance, and cost. Define requirements for agent orchestration, tool use, enterprise system integration, human oversight, and recovery from failed or incomplete tasks. Translate model lifecycle, security, privacy, and governance needs into product requirements, including evaluation, deployment, monitoring, versioning, updates, rollback, access controls, and auditability. Delivery & Ecosystem Partnerships Partner with peer product managers, engineering, and operations to translate the roadmap into prioritized requirements, acceptance criteria, and coordinated delivery plans. Engage internal and external customers, independent software vendors (ISVs), and ecosystem partners to validate LLM and agentic workflows and guide pilots toward reliable, supportable production deployments. Use relevant Customer Zero initiatives as one source of deployment evidence and product feedback. Evaluate build, buy, and partner options across the solution stack, establishing clear integration requirements and responsibilities with relevant teams. Go-to-Market & Product Outcomes Partner with product marketing and sales to define target customers, articulate differentiated value, inform pricing and packaging decisions, and develop launch plans and sales enablement materials. Define and track adoption, time to production, workflow effectiveness, reliability, usability, and customer value. Use customer feedback and product performance evidence to refine priorities and improve the solution throughout its lifecycle. Core Outputs & Artifacts Product Strategy and Roadmap: A clear view of target customers, priority LLM and agentic workflows, differentiated value, and planned inference software capabilities, including dependencies on shared components, hardware, services, and partners. Prioritized Product Requirements: Requirements and acceptance criteria covering assigned inference software capabilities, enterprise controls, integration interfaces, and deployment needs, with workload requirements communicated to hardware and services owners. Validated Customer and Deployment Findings: Evidence from discovery, pilots, and production use that informs product decisions, including success criteria and barriers to adoption. Launch and Production Readiness Inputs: Product inputs covering integration dependencies, deployment and support requirements, partner responsibilities, positioning, and measures of success. What Success Looks Like A focused roadmap connects enterprise customer needs with HP's Edge AI strategy and integrated solution capabilities. Customers move from AI experimentation and pilots into production deployments with clear operational and business value. Assigned inference software capabilities enable reliable, manageable LLM applications and agentic workflows in the intended deployment environments. Engineering, Go-to-Market, operations, and ecosystem partners share clear priorities, acceptance criteria, and delivery responsibilities. Product decisions are informed by adoption, customer feedback, task success, reliability, inference latency, and deployment cost, using measures appropriate to each solution. Experience knowledge & skills: Required 10+ years of relevant experience, including substantial product management responsibility for enterprise software, AI software, developer tools, or infrastructure products, with demonstrated ownership of strategy, roadmaps, and delivery. Demonstrated experience delivering LLM-enabled applications or inference solutions, with technical fluency in model serving, retrieval-augmented generation, agent orchestration, tool use, evaluation, and failure handling. Experience defining requirements for model deployment and lifecycle management, including monitoring, versioning, updates, and supportability in enterprise environments. Understanding of local, on-premises, and hybrid deployment constraints, with the ability to translate workload needs into requirements for engineering and hardware partners. Working fluency with Python-based AI ecosystems, APIs, SDKs, and developer tooling, sufficient to evaluate integration and deployment approaches alongside engineering. Experience translating enterprise integration, security, privacy, and governance needs into product requirements. Experience collaborating with technology partners and peer product managers to deliver integrated solutions and manage shared dependencies. Strong analytical judgment and experience using customer feedback, deployment findings, and performance evidence to prioritize product improvements. Demonstrated ability to influence cross-functional teams without direct authority, communicate with technical and executive audiences, and translate strategy into prioritized requirements and acceptance criteria. Preferred Experience evaluating build, buy, and partner options for enterprise platforms or integrated technology solutions. Experience with open-source AI ecosystems and enterprise model-serving or agent-orchestration platforms. Experience supporting product positioning, pricing and packaging decisions, and Go-to-Market execution for enterprise technology offerings. Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent relevant professional experience. An MBA or an advanced degree in a relevant technical field is a plus but not required. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Salary The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting . click apply for full job details
11/10/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Product Manager, Edge AI, LLM & Agentic Workflows Description - Role Overview The Principal Product Manager defines product strategy and drives delivery of Edge AI solutions for large language models (LLMs) and agentic workflows, including the inference software capabilities needed to deploy, orchestrate, and operate these workloads in enterprise environments. Within HP's Edge & AI solutions organization, this role owns the vision, roadmap, requirements, and product outcomes for assigned LLM and agentic inference capabilities. You will partner with engineering, peer product managers, hardware teams, services teams, and ecosystem partners to deliver integrated solutions. The role defines workload requirements and evaluates deployment trade-offs with hardware partners but does not own hardware products or hardware roadmaps. The role combines strategic product leadership with practical execution through customer discovery, technical requirements, prioritization, and deployment validation. You will translate internal and external customer needs into capabilities that help organizations deploy, manage, and scale AI closer to their users, operations, and data. Key responsibilities: Product Strategy & Customer Discovery Define the product vision, strategy, and roadmap for assigned LLM and agentic inference capabilities, aligned with HP's broader Edge AI strategy. Coordinate shared capabilities and dependencies with peer product managers. Use customer discovery, market insights, competitive analysis, and business cases to prioritize enterprise opportunities for LLM applications, AI agents, and workflow automation. Validate customer needs, target users, deployment requirements, and expected business value before committing to solution investments. Solutions Definition Define software capabilities and integration requirements for LLM and agentic inference solutions across local, on-premises, and hybrid environments. Partner with hardware and services owners to ensure the overall solution meets workload and customer requirements. Establish requirements for model serving and assigned inference software stack capabilities, including deployment, runtime compatibility, scaling, support for relevant inference backends, and integration with HP Z Runtime where applicable. Work with engineering and hardware partners to evaluate workload requirements and trade-offs across compute, memory, acceleration, connectivity, performance, and cost. Define requirements for agent orchestration, tool use, enterprise system integration, human oversight, and recovery from failed or incomplete tasks. Translate model lifecycle, security, privacy, and governance needs into product requirements, including evaluation, deployment, monitoring, versioning, updates, rollback, access controls, and auditability. Delivery & Ecosystem Partnerships Partner with peer product managers, engineering, and operations to translate the roadmap into prioritized requirements, acceptance criteria, and coordinated delivery plans. Engage internal and external customers, independent software vendors (ISVs), and ecosystem partners to validate LLM and agentic workflows and guide pilots toward reliable, supportable production deployments. Use relevant Customer Zero initiatives as one source of deployment evidence and product feedback. Evaluate build, buy, and partner options across the solution stack, establishing clear integration requirements and responsibilities with relevant teams. Go-to-Market & Product Outcomes Partner with product marketing and sales to define target customers, articulate differentiated value, inform pricing and packaging decisions, and develop launch plans and sales enablement materials. Define and track adoption, time to production, workflow effectiveness, reliability, usability, and customer value. Use customer feedback and product performance evidence to refine priorities and improve the solution throughout its lifecycle. Core Outputs & Artifacts Product Strategy and Roadmap: A clear view of target customers, priority LLM and agentic workflows, differentiated value, and planned inference software capabilities, including dependencies on shared components, hardware, services, and partners. Prioritized Product Requirements: Requirements and acceptance criteria covering assigned inference software capabilities, enterprise controls, integration interfaces, and deployment needs, with workload requirements communicated to hardware and services owners. Validated Customer and Deployment Findings: Evidence from discovery, pilots, and production use that informs product decisions, including success criteria and barriers to adoption. Launch and Production Readiness Inputs: Product inputs covering integration dependencies, deployment and support requirements, partner responsibilities, positioning, and measures of success. What Success Looks Like A focused roadmap connects enterprise customer needs with HP's Edge AI strategy and integrated solution capabilities. Customers move from AI experimentation and pilots into production deployments with clear operational and business value. Assigned inference software capabilities enable reliable, manageable LLM applications and agentic workflows in the intended deployment environments. Engineering, Go-to-Market, operations, and ecosystem partners share clear priorities, acceptance criteria, and delivery responsibilities. Product decisions are informed by adoption, customer feedback, task success, reliability, inference latency, and deployment cost, using measures appropriate to each solution. Experience knowledge & skills: Required 10+ years of relevant experience, including substantial product management responsibility for enterprise software, AI software, developer tools, or infrastructure products, with demonstrated ownership of strategy, roadmaps, and delivery. Demonstrated experience delivering LLM-enabled applications or inference solutions, with technical fluency in model serving, retrieval-augmented generation, agent orchestration, tool use, evaluation, and failure handling. Experience defining requirements for model deployment and lifecycle management, including monitoring, versioning, updates, and supportability in enterprise environments. Understanding of local, on-premises, and hybrid deployment constraints, with the ability to translate workload needs into requirements for engineering and hardware partners. Working fluency with Python-based AI ecosystems, APIs, SDKs, and developer tooling, sufficient to evaluate integration and deployment approaches alongside engineering. Experience translating enterprise integration, security, privacy, and governance needs into product requirements. Experience collaborating with technology partners and peer product managers to deliver integrated solutions and manage shared dependencies. Strong analytical judgment and experience using customer feedback, deployment findings, and performance evidence to prioritize product improvements. Demonstrated ability to influence cross-functional teams without direct authority, communicate with technical and executive audiences, and translate strategy into prioritized requirements and acceptance criteria. Preferred Experience evaluating build, buy, and partner options for enterprise platforms or integrated technology solutions. Experience with open-source AI ecosystems and enterprise model-serving or agent-orchestration platforms. Experience supporting product positioning, pricing and packaging decisions, and Go-to-Market execution for enterprise technology offerings. Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent relevant professional experience. An MBA or an advanced degree in a relevant technical field is a plus but not required. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Salary The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting . click apply for full job details
HP
Agentic AI AI Runtime / ML Model Systems Engineer
HP Spring, Texas
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime / ML Model Systems Engineer Description - This role is responsible for developing runtime abstraction layers and intelligent model placement systems across heterogeneous compute resources In this role, you will ensure the technical design, development, installation, and maintenance of state-of-the-art software applications and services for the company. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. Houston in-office requirement: 4 days Responsibilities • Build runtime abstraction frameworks. • Implement model placement policies. • Develop xPU routing logic. • Optimize inference execution. • Leads the building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Builds standards, designs, and automates the deployment of software. • Designs and develops solutions that protect and manage software products and data. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong AI runtime expertise. • Optimize inference execution. Required Qualifications • ONNX, TensorRT, OpenVINO. • NPU/GPU scheduling. • Edge AI deployment. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API ) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/10/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime / ML Model Systems Engineer Description - This role is responsible for developing runtime abstraction layers and intelligent model placement systems across heterogeneous compute resources In this role, you will ensure the technical design, development, installation, and maintenance of state-of-the-art software applications and services for the company. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. Houston in-office requirement: 4 days Responsibilities • Build runtime abstraction frameworks. • Implement model placement policies. • Develop xPU routing logic. • Optimize inference execution. • Leads the building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Builds standards, designs, and automates the deployment of software. • Designs and develops solutions that protect and manage software products and data. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong AI runtime expertise. • Optimize inference execution. Required Qualifications • ONNX, TensorRT, OpenVINO. • NPU/GPU scheduling. • Edge AI deployment. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API ) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
HP
Fellow, Integrated Solutions & Ecosystem Architecture
HP Palo Alto, California
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fellow, Integrated Solutions & Ecosystem Architecture Description - Why this role is critical to HP The next generation of personal computing will be defined across company boundaries. Silicon, operating systems, AI platforms, memory, security, cloud services, firmware and device experiences increasingly evolve on independent roadmaps, yet must operate as one integrated system in the products customers use. HP is seeking a Technical Fellow to serve as the senior technical leader for partner architecture and ecosystem engineering across Personal Systems. This leader will work directly with HP's most strategic technology partners and with engineering teams across HP to turn separate technology roadmaps into integrated, multi-generation product architectures. The role will shape joint technical direction, establish the architectural interfaces and commitments required across organizations, identify where HP should build, integrate or co-engineer, and drive the technology workstreams needed to convert capabilities into differentiated products. This is a critical hands-on senior technical leadership role accountable for architecture, roadmap convergence, technical decisions and co-engineering outcomes across company boundaries. Key responsibilities Lead HP's technical architecture engagement with strategic ecosystem partners across silicon, operating systems, AI platforms, memory and storage, cloud, device technologies and system software. Create integrated multi-generation technology roadmaps connecting partner capabilities, HP engineering priorities and future product requirements; identify dependencies, gaps and critical decisions early enough to influence both HP and partner roadmaps. Define HP's technical asks to partners. Translate customer needs, system requirements and architectural direction into specific partner capabilities, interfaces, engineering commitments and product intercepts. Drive common architecture and leverage across the Personal Systems portfolio. Establish where platforms, interfaces, software components, firmware capabilities, validation methods and system technologies should be common and reusable, while preserving meaningful product differentiation. Lead architecture across organizational boundaries inside HP. Connect device engineering with HP-wide AI, software, security, manageability, services and experience teams so independently developed capabilities come together as complete system solutions. Drive joint technology workstreams from concept through engineering commitment. Establish clear technical outcomes, owners, dependencies, milestones and acceptance criteria with internal teams and external partners; ensure promising technologies progress beyond demonstrations into product-ready capabilities. Shape HP's architecture for next-generation AI and agentic computing. Drive system-level decisions spanning CPU/GPU/NPU execution, memory, power, thermals, firmware, operating systems, AI runtimes, security, manageability and device-edge-cloud integration. Resolve complex cross-company architecture tradeoffs. Provide senior technical judgment where performance, cost, power, memory, security, roadmap timing, product requirements and independently managed partner priorities conflict. Represent HP as a senior technical counterpart with industry leaders. Engage partner CTOs, Fellows, architects and engineering executives to influence technology direction, establish joint priorities and secure engineering commitments. Build HP's partner-architecture capability and technical bench. Lead and mentor a small team of senior architects and technical leaders, develop future technical talent and strengthen HP's ability to operate credibly at the highest levels of the industry. What success looks like HP influences partner roadmaps earlier. Important HP requirements appear in partner architectures, engineering plans and future technology releases rather than being addressed after roadmaps are fixed. Partner engagement produces engineering outcomes. Joint work results in committed resources, interfaces, technology deliverables, reference implementations and capabilities that reach HP products. Architecture converges earlier across HP and its partners. Dependencies and technical tradeoffs are resolved before they become late product issues, reducing duplicated work, redesign and schedule risk. HP gains greater leverage from common architecture. Reusable system capabilities, interfaces and validation approaches are adopted across multiple product lines and generations. Emerging technology translates into product differentiation. New silicon, software, AI and ecosystem capabilities move systematically from evaluation to co-engineering to product adoption. HP becomes a stronger technical voice in the ecosystem. Strategic partners increasingly engage HP as a technology co-designer whose requirements and architecture help shape future platforms. HP builds deeper technical leadership. Senior architecture expertise grows inside the company, with a stronger bench and succession pipeline for critical technical roles. Required experience and capabilities Exceptional record of technical leadership across complex, large-scale computing platforms or product ecosystems. Deep systems architecture expertise spanning several of the following: silicon, operating systems, firmware, system software, AI/ML systems, memory, security, manageability, cloud/edge computing and hardware platforms. Demonstrated experience shaping multi-generation technology roadmaps with major external technology partners. Proven ability to turn emerging technologies and architectural concepts into shipping platforms, products or broadly deployed capabilities. Experience negotiating consequential technical tradeoffs across companies and organizations with different priorities, roadmaps and business models. Strong understanding of system-level performance and the interactions among compute, memory, power, thermals, firmware, software and workload behavior. Executive presence and technical credibility to work effectively with CTOs, Fellows, senior engineering executives and business leaders. Ability to operate effectively with incomplete information, rapidly changing technology and complex organizational dependencies while still driving decisions and execution. Demonstrated ability to lead through influence across organizations where direct reporting authority does not exist. Track record of attracting, mentoring and developing exceptional senior technical talent. Preferred experience Senior architecture leadership in personal computing, semiconductor, operating-system, AI-platform, cloud/edge or large-scale device organizations. Experience working directly with major silicon, operating-system, AI, memory, cloud and device-ecosystem companies. Experience spanning both technology creation and productization-not solely research, standards or product execution. Experience with multi-platform architectures involving multiple silicon vendors, operating environments and product categories. Experience developing joint reference architectures, co-engineering programs, industry standards or major partner-dependent technology initiatives. Advanced degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline, or equivalent depth of industry experience. The pay range for this role is $350,000 to $450,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Engineering Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status . click apply for full job details
11/10/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fellow, Integrated Solutions & Ecosystem Architecture Description - Why this role is critical to HP The next generation of personal computing will be defined across company boundaries. Silicon, operating systems, AI platforms, memory, security, cloud services, firmware and device experiences increasingly evolve on independent roadmaps, yet must operate as one integrated system in the products customers use. HP is seeking a Technical Fellow to serve as the senior technical leader for partner architecture and ecosystem engineering across Personal Systems. This leader will work directly with HP's most strategic technology partners and with engineering teams across HP to turn separate technology roadmaps into integrated, multi-generation product architectures. The role will shape joint technical direction, establish the architectural interfaces and commitments required across organizations, identify where HP should build, integrate or co-engineer, and drive the technology workstreams needed to convert capabilities into differentiated products. This is a critical hands-on senior technical leadership role accountable for architecture, roadmap convergence, technical decisions and co-engineering outcomes across company boundaries. Key responsibilities Lead HP's technical architecture engagement with strategic ecosystem partners across silicon, operating systems, AI platforms, memory and storage, cloud, device technologies and system software. Create integrated multi-generation technology roadmaps connecting partner capabilities, HP engineering priorities and future product requirements; identify dependencies, gaps and critical decisions early enough to influence both HP and partner roadmaps. Define HP's technical asks to partners. Translate customer needs, system requirements and architectural direction into specific partner capabilities, interfaces, engineering commitments and product intercepts. Drive common architecture and leverage across the Personal Systems portfolio. Establish where platforms, interfaces, software components, firmware capabilities, validation methods and system technologies should be common and reusable, while preserving meaningful product differentiation. Lead architecture across organizational boundaries inside HP. Connect device engineering with HP-wide AI, software, security, manageability, services and experience teams so independently developed capabilities come together as complete system solutions. Drive joint technology workstreams from concept through engineering commitment. Establish clear technical outcomes, owners, dependencies, milestones and acceptance criteria with internal teams and external partners; ensure promising technologies progress beyond demonstrations into product-ready capabilities. Shape HP's architecture for next-generation AI and agentic computing. Drive system-level decisions spanning CPU/GPU/NPU execution, memory, power, thermals, firmware, operating systems, AI runtimes, security, manageability and device-edge-cloud integration. Resolve complex cross-company architecture tradeoffs. Provide senior technical judgment where performance, cost, power, memory, security, roadmap timing, product requirements and independently managed partner priorities conflict. Represent HP as a senior technical counterpart with industry leaders. Engage partner CTOs, Fellows, architects and engineering executives to influence technology direction, establish joint priorities and secure engineering commitments. Build HP's partner-architecture capability and technical bench. Lead and mentor a small team of senior architects and technical leaders, develop future technical talent and strengthen HP's ability to operate credibly at the highest levels of the industry. What success looks like HP influences partner roadmaps earlier. Important HP requirements appear in partner architectures, engineering plans and future technology releases rather than being addressed after roadmaps are fixed. Partner engagement produces engineering outcomes. Joint work results in committed resources, interfaces, technology deliverables, reference implementations and capabilities that reach HP products. Architecture converges earlier across HP and its partners. Dependencies and technical tradeoffs are resolved before they become late product issues, reducing duplicated work, redesign and schedule risk. HP gains greater leverage from common architecture. Reusable system capabilities, interfaces and validation approaches are adopted across multiple product lines and generations. Emerging technology translates into product differentiation. New silicon, software, AI and ecosystem capabilities move systematically from evaluation to co-engineering to product adoption. HP becomes a stronger technical voice in the ecosystem. Strategic partners increasingly engage HP as a technology co-designer whose requirements and architecture help shape future platforms. HP builds deeper technical leadership. Senior architecture expertise grows inside the company, with a stronger bench and succession pipeline for critical technical roles. Required experience and capabilities Exceptional record of technical leadership across complex, large-scale computing platforms or product ecosystems. Deep systems architecture expertise spanning several of the following: silicon, operating systems, firmware, system software, AI/ML systems, memory, security, manageability, cloud/edge computing and hardware platforms. Demonstrated experience shaping multi-generation technology roadmaps with major external technology partners. Proven ability to turn emerging technologies and architectural concepts into shipping platforms, products or broadly deployed capabilities. Experience negotiating consequential technical tradeoffs across companies and organizations with different priorities, roadmaps and business models. Strong understanding of system-level performance and the interactions among compute, memory, power, thermals, firmware, software and workload behavior. Executive presence and technical credibility to work effectively with CTOs, Fellows, senior engineering executives and business leaders. Ability to operate effectively with incomplete information, rapidly changing technology and complex organizational dependencies while still driving decisions and execution. Demonstrated ability to lead through influence across organizations where direct reporting authority does not exist. Track record of attracting, mentoring and developing exceptional senior technical talent. Preferred experience Senior architecture leadership in personal computing, semiconductor, operating-system, AI-platform, cloud/edge or large-scale device organizations. Experience working directly with major silicon, operating-system, AI, memory, cloud and device-ecosystem companies. Experience spanning both technology creation and productization-not solely research, standards or product execution. Experience with multi-platform architectures involving multiple silicon vendors, operating environments and product categories. Experience developing joint reference architectures, co-engineering programs, industry standards or major partner-dependent technology initiatives. Advanced degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline, or equivalent depth of industry experience. The pay range for this role is $350,000 to $450,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Engineering Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status . click apply for full job details
IT Enterprise Architect
Danaher Coralville, Iowa
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Integrated DNA Technologies (IDT), one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Our team at Integrated DNA Technologies (IDT), is united by a commitment to collaboration and scientific excellence, building on a strong foundation of innovation, expertise, and reliability. Guided by our vision to help researchers rapidly move from the lab to life-changing advances, we work closely with global partners to accelerate progress and genomics breakthroughs across fields like cancer, infectious disease, rare genetic disorders, and more. At IDT, you'll be part of a culture rooted in continuous learning and improvement-where your growth fuels our mission to accelerate the pace of genomics and helps shape a healthier, brighter future for all. Learn about the Danaher Business System which makes everything possible. The IT Enterprise Architect is responsible for defining, governing, and evolving the enterprise wide technology architecture to enable business strategy, scalability, security, and regulatory compliance. This role provides architecture leadership across applications, data, integration, cloud, and AI platforms, ensuring coherent, future proof decisions across the enterprise. The Enterprise Architect acts as a strategic advisor to business and IT leaders, partners with Solution and Platform Architects, and serves as a key decision maker in architecture governance forums. This position reports to VP, Business Transformation and IT and is part of the IT Organization located in Coralville, IA or Fargo, ND and will be on site in either of these two locations. In this role, you will have the opportunity to: Define and evolve enterprise architecture vision, principles, and target state roadmaps across application, data, integration, infrastructure, and security domains. Serve as a trusted advisor to executive stakeholders on technology investments, modernization options, and trade offs. Provide architectural leadership for major programs and platform decisions, ensuring alignment to business strategy, risk posture, and technology standards. Establish and operate architecture governance (e.g., architecture review boards), including decision records, standards, reference architectures, and exceptions. Partner with business and IT leaders to translate strategic priorities into capability based architectures and sequenced transformation plans. Identify opportunities to simplify the technology landscape, reduce technical debt, and improve interoperability and operability. The essential requirements of the job include: Bachelor's degree with 7+ years of experience in Information Technology, Engineering, or related field; or equivalent experience 7+ Years of experience in enterprise architecture, solution architecture, or platform strategy within complex enterprise environments. Demonstrated ability to create and govern standards, reference architectures, and roadmaps. Experience influencing senior stakeholders and leading cross functional architectural decisions Strong communication skills, including ability to articulate trade offs, risks, and recommendations. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 25% for stakeholder engagement and site/program support It would be a plus if you also possess previous experience in: Enterprise Architecture frameworks and modeling (TOGAF, ArchiMate, UML, capability and process modeling) Experience with large scale modernization and cloud transformation programs and in regulated industries and designing controls for security, privacy, and compliance. Experience integrating enterprise platforms (ERP/CRM), digital channels, and data/analytics ecosystems. IDT, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
11/10/2026
Full time
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Integrated DNA Technologies (IDT), one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Our team at Integrated DNA Technologies (IDT), is united by a commitment to collaboration and scientific excellence, building on a strong foundation of innovation, expertise, and reliability. Guided by our vision to help researchers rapidly move from the lab to life-changing advances, we work closely with global partners to accelerate progress and genomics breakthroughs across fields like cancer, infectious disease, rare genetic disorders, and more. At IDT, you'll be part of a culture rooted in continuous learning and improvement-where your growth fuels our mission to accelerate the pace of genomics and helps shape a healthier, brighter future for all. Learn about the Danaher Business System which makes everything possible. The IT Enterprise Architect is responsible for defining, governing, and evolving the enterprise wide technology architecture to enable business strategy, scalability, security, and regulatory compliance. This role provides architecture leadership across applications, data, integration, cloud, and AI platforms, ensuring coherent, future proof decisions across the enterprise. The Enterprise Architect acts as a strategic advisor to business and IT leaders, partners with Solution and Platform Architects, and serves as a key decision maker in architecture governance forums. This position reports to VP, Business Transformation and IT and is part of the IT Organization located in Coralville, IA or Fargo, ND and will be on site in either of these two locations. In this role, you will have the opportunity to: Define and evolve enterprise architecture vision, principles, and target state roadmaps across application, data, integration, infrastructure, and security domains. Serve as a trusted advisor to executive stakeholders on technology investments, modernization options, and trade offs. Provide architectural leadership for major programs and platform decisions, ensuring alignment to business strategy, risk posture, and technology standards. Establish and operate architecture governance (e.g., architecture review boards), including decision records, standards, reference architectures, and exceptions. Partner with business and IT leaders to translate strategic priorities into capability based architectures and sequenced transformation plans. Identify opportunities to simplify the technology landscape, reduce technical debt, and improve interoperability and operability. The essential requirements of the job include: Bachelor's degree with 7+ years of experience in Information Technology, Engineering, or related field; or equivalent experience 7+ Years of experience in enterprise architecture, solution architecture, or platform strategy within complex enterprise environments. Demonstrated ability to create and govern standards, reference architectures, and roadmaps. Experience influencing senior stakeholders and leading cross functional architectural decisions Strong communication skills, including ability to articulate trade offs, risks, and recommendations. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 25% for stakeholder engagement and site/program support It would be a plus if you also possess previous experience in: Enterprise Architecture frameworks and modeling (TOGAF, ArchiMate, UML, capability and process modeling) Experience with large scale modernization and cloud transformation programs and in regulated industries and designing controls for security, privacy, and compliance. Experience integrating enterprise platforms (ERP/CRM), digital channels, and data/analytics ecosystems. IDT, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
Raytheon
Systems Engineer II
Raytheon Tewksbury, Massachusetts
Date Posted: 2026-10-05 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Are you passionate about turning innovative concepts into reality? Do you thrive in dynamic environments? Raytheon is seeking a talented and motivated Systems Engineer II to join our team within the Systems Engineering and Test Capabilities (SETC) Discipline, supporting the LTAMDS Family of Radars (FoR). This role offers a unique opportunity to work across the full lifecycle of the product, from concept to deployment. Every day will bring new challenges, requiring you to collaborate across disciplines to troubleshoot issues, perform data analysis, and implement solutions. Your contributions will directly impact the success of mission-critical defense systems, and you'll have a hands-on role in ensuring the entire system functions seamlessly. This role can be based out of Tewksbury, Andover, Woburn, Marlborough MA or Pelham NH. What You Will Do: In this Systems Engineer role, you will support the following types of activities: Core Systems Engineering: Develop requirements and algorithms, concepts of operations, and define system interfaces. Lead Testing Efforts: Develop and implement test plans, procedures, integration, and verification documentation in both simulated and real-world environments. Troubleshoot and Analyze: Identify and resolve hardware, software, and system issues through detailed data analysis and debugging. Drive Performance: Collaborate across functions to drive performance improvements and resolve system issues. Modeling and Simulation: Develop and execute models to predict system performance and support verification and validation. Integrate Systems: Integrate hardware and software into tactical systems, evaluating their functionality and impact. Collaborate and Lead: Work with and lead a multi-disciplinary team to achieve seamless integration and system functionality. Document and Communicate: Develop integration documentation, execute plans, analyze data, verify requirements and effectively communicate results to leadership and stakeholders. Perform Data Analysis: Conduct statistical and numerical analysis of radar performance data to ensure optimal system performance and verify requirements. Present Findings: Present technical findings and solutions to leadership and customers. Support Missions: Travel as needed (up to 20%) to support mission execution at various locations including local RTX facilities, test sites, vendor facilities, and customer locations. Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 2 years of prior engineering experience. Experience with systems software, systems hardware, systems requirements, systems integration, and/or systems test. Active and transferable U.S. government-issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience with DOORS, Rhapsody, Cameo, or other digital engineering tools. Experience with model-based engineering. Experience in developing and managing requirements. Experience developing both scripts and functions with MATLAB. Experience with C++, Python, or similar Experience with generating technical documentation, such as test plans, procedures, or technical reports. Experience working in an integration lab, test facility, or in the field, supporting integration and/or verification. Experience with evaluating systems using simulated environments. Experience interfacing with internal and external customers. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/10/2026
Full time
Date Posted: 2026-10-05 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Are you passionate about turning innovative concepts into reality? Do you thrive in dynamic environments? Raytheon is seeking a talented and motivated Systems Engineer II to join our team within the Systems Engineering and Test Capabilities (SETC) Discipline, supporting the LTAMDS Family of Radars (FoR). This role offers a unique opportunity to work across the full lifecycle of the product, from concept to deployment. Every day will bring new challenges, requiring you to collaborate across disciplines to troubleshoot issues, perform data analysis, and implement solutions. Your contributions will directly impact the success of mission-critical defense systems, and you'll have a hands-on role in ensuring the entire system functions seamlessly. This role can be based out of Tewksbury, Andover, Woburn, Marlborough MA or Pelham NH. What You Will Do: In this Systems Engineer role, you will support the following types of activities: Core Systems Engineering: Develop requirements and algorithms, concepts of operations, and define system interfaces. Lead Testing Efforts: Develop and implement test plans, procedures, integration, and verification documentation in both simulated and real-world environments. Troubleshoot and Analyze: Identify and resolve hardware, software, and system issues through detailed data analysis and debugging. Drive Performance: Collaborate across functions to drive performance improvements and resolve system issues. Modeling and Simulation: Develop and execute models to predict system performance and support verification and validation. Integrate Systems: Integrate hardware and software into tactical systems, evaluating their functionality and impact. Collaborate and Lead: Work with and lead a multi-disciplinary team to achieve seamless integration and system functionality. Document and Communicate: Develop integration documentation, execute plans, analyze data, verify requirements and effectively communicate results to leadership and stakeholders. Perform Data Analysis: Conduct statistical and numerical analysis of radar performance data to ensure optimal system performance and verify requirements. Present Findings: Present technical findings and solutions to leadership and customers. Support Missions: Travel as needed (up to 20%) to support mission execution at various locations including local RTX facilities, test sites, vendor facilities, and customer locations. Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 2 years of prior engineering experience. Experience with systems software, systems hardware, systems requirements, systems integration, and/or systems test. Active and transferable U.S. government-issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience with DOORS, Rhapsody, Cameo, or other digital engineering tools. Experience with model-based engineering. Experience in developing and managing requirements. Experience developing both scripts and functions with MATLAB. Experience with C++, Python, or similar Experience with generating technical documentation, such as test plans, procedures, or technical reports. Experience working in an integration lab, test facility, or in the field, supporting integration and/or verification. Experience with evaluating systems using simulated environments. Experience interfacing with internal and external customers. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Sr. SDE, EC2 Nitro Networking, EC2 Nitro Networking
Amazon Development Center U.S., Inc. Seattle, Washington
We're at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2026. To achieve our ambitious goals, we're expanding our team and looking for talented engineers like you to be part of this journey. You will be part of a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse applications such as Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale. As a Sr. SDE on this team, you will own defining, implementing, and delivering performance and availability optimizations that power Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking to join our team. This role will allow you to influence and impact multiple technology areas, providing an opportunity to innovate across a variety of platforms and systems. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to grow your skills and knowledge. Key job responsibilities - Lead the end-to-end design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads. - You set high standards for development processes, tools, and automation to enhance team productivity and quality. - Own the team architecture and define best engineering practices on design and coding. - You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams. - Mentor junior engineers with scoping, design, and developing scalable and maintainable code. - Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 7+ years of non-internship professional software development experience - 7+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience in embedded development in C/C++ - Knowledge of system performance, memory management, and parallel computing principles PREFERRED QUALIFICATIONS - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Knowledge of machine learning model architecture and inference - Experience developing low-level systems software, networking dataplane, or performance-critical services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually
11/10/2026
Full time
We're at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2026. To achieve our ambitious goals, we're expanding our team and looking for talented engineers like you to be part of this journey. You will be part of a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse applications such as Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale. As a Sr. SDE on this team, you will own defining, implementing, and delivering performance and availability optimizations that power Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro. We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking to join our team. This role will allow you to influence and impact multiple technology areas, providing an opportunity to innovate across a variety of platforms and systems. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to grow your skills and knowledge. Key job responsibilities - Lead the end-to-end design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads. - You set high standards for development processes, tools, and automation to enhance team productivity and quality. - Own the team architecture and define best engineering practices on design and coding. - You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams. - Mentor junior engineers with scoping, design, and developing scalable and maintainable code. - Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 7+ years of non-internship professional software development experience - 7+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience in embedded development in C/C++ - Knowledge of system performance, memory management, and parallel computing principles PREFERRED QUALIFICATIONS - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Knowledge of machine learning model architecture and inference - Experience developing low-level systems software, networking dataplane, or performance-critical services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually
Sr. Design Operations Manager, Amazon Ads - Brand Innovation Lab
Amazon Advertising LLC Seattle, Washington
Brand Innovation Lab's TEX (Technology & Experience) design team is seeking a Design Ops Manager who can make the operational side of our team work as well as the creative technology side. You'll own two things: our operational excellence for campaign workflow that keeps projects moving and our global design system. The TEX XD team is a group of user experience and interactive designers who move fast, juggle concurrent campaigns for major global brands, and operate with significant creative autonomy. You'll own the operational infrastructure that keeps that possible while also raising the quality bar through consistency, shared standards, and feedback loops that connect what ships back to what gets built next. The design system is the majority of the job. It will serve most advertising campaigns and prototypes that comes through BIL across categories, markets, and platforms starting with Brand Store pages and extending to surfaces such as FireTV, Alexa and video. You'll partner with global stakeholders to define and operate our governance and standards that scale across all surfaces while staying useful to the designers and engineers building the work. You'll report to the Experience Design Manager quickly becoming a vital team member who works cross disciplines daily. Key job responsibilities Own governance, maintenance, and evolution of the design system, including how designers and engineers contribute to it, how it's versioned, and how adoption is tracked. Build research and measurement into the system itself feeding usage data, performance, and qualitative feedback directly into what gets built, deprecated, or improved. Identify what's missing, propose what to build next, and prioritize the roadmap. Scale mechanisms for workload visibility, capacity planning, and resource allocation across concurrent campaigns. Evangelize the design system and the team's work through how you communicate, how you show up cross-functionally, and the processes you put in place. A day in the life Morning: you're reviewing incoming requests triaging to who has the right expertise for the campaign. Mid-morning, you're running design system office hours a designer requesting a feature for a component and needs guidance. After lunch, you're pulling adoption metrics and campaign performance data to decide which components need iteration and which are ready to scale. Then you're in a working session with analytics team, connecting their findings back to system priorities. End of day you join a sync with the Experience Design Manager about planning for next quarter. About the team Brand Innovation Lab (BIL) focuses on the conception, prototyping and execution of branded custom experiences across Amazon properties. This role sit within the Technology and Experience (TEX) team, working across emerging platforms and technologies to create innovative advertising experiences that drive campaign success for the world's biggest brands. BASIC QUALIFICATIONS - 6+ years of design experience - Experience understanding needs of business and end customers and translating them into right solutions - Experience gathering and analyzing large amounts of data and delivering continuous business improvements - Experience with asset management, design workflows, or partnering with creative teams - Experience managing design systems at scale (contribution models, governance, tooling). PREFERRED QUALIFICATIONS - Knowledge of project management tools and methodologies (agile to waterfall) - Experience working and contributing to project playbooks, building schedules, managing issues/risks, establishing communication plans and stakeholder management - Experience in marketing, brand advertising, media sales, or online advertising and close work with senior advertisers and agency stakeholders - Background in building dashboards or reporting frameworks for creative organizations. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, SEATTLE - 129 100.00 USD annually
11/10/2026
Full time
Brand Innovation Lab's TEX (Technology & Experience) design team is seeking a Design Ops Manager who can make the operational side of our team work as well as the creative technology side. You'll own two things: our operational excellence for campaign workflow that keeps projects moving and our global design system. The TEX XD team is a group of user experience and interactive designers who move fast, juggle concurrent campaigns for major global brands, and operate with significant creative autonomy. You'll own the operational infrastructure that keeps that possible while also raising the quality bar through consistency, shared standards, and feedback loops that connect what ships back to what gets built next. The design system is the majority of the job. It will serve most advertising campaigns and prototypes that comes through BIL across categories, markets, and platforms starting with Brand Store pages and extending to surfaces such as FireTV, Alexa and video. You'll partner with global stakeholders to define and operate our governance and standards that scale across all surfaces while staying useful to the designers and engineers building the work. You'll report to the Experience Design Manager quickly becoming a vital team member who works cross disciplines daily. Key job responsibilities Own governance, maintenance, and evolution of the design system, including how designers and engineers contribute to it, how it's versioned, and how adoption is tracked. Build research and measurement into the system itself feeding usage data, performance, and qualitative feedback directly into what gets built, deprecated, or improved. Identify what's missing, propose what to build next, and prioritize the roadmap. Scale mechanisms for workload visibility, capacity planning, and resource allocation across concurrent campaigns. Evangelize the design system and the team's work through how you communicate, how you show up cross-functionally, and the processes you put in place. A day in the life Morning: you're reviewing incoming requests triaging to who has the right expertise for the campaign. Mid-morning, you're running design system office hours a designer requesting a feature for a component and needs guidance. After lunch, you're pulling adoption metrics and campaign performance data to decide which components need iteration and which are ready to scale. Then you're in a working session with analytics team, connecting their findings back to system priorities. End of day you join a sync with the Experience Design Manager about planning for next quarter. About the team Brand Innovation Lab (BIL) focuses on the conception, prototyping and execution of branded custom experiences across Amazon properties. This role sit within the Technology and Experience (TEX) team, working across emerging platforms and technologies to create innovative advertising experiences that drive campaign success for the world's biggest brands. BASIC QUALIFICATIONS - 6+ years of design experience - Experience understanding needs of business and end customers and translating them into right solutions - Experience gathering and analyzing large amounts of data and delivering continuous business improvements - Experience with asset management, design workflows, or partnering with creative teams - Experience managing design systems at scale (contribution models, governance, tooling). PREFERRED QUALIFICATIONS - Knowledge of project management tools and methodologies (agile to waterfall) - Experience working and contributing to project playbooks, building schedules, managing issues/risks, establishing communication plans and stakeholder management - Experience in marketing, brand advertising, media sales, or online advertising and close work with senior advertisers and agency stakeholders - Background in building dashboards or reporting frameworks for creative organizations. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, SEATTLE - 129 100.00 USD annually
Miebach
Process Mining Technical Analyst/Consultant
Miebach Fishers, Indiana
About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIf8a54c77a20b-9205
11/10/2026
Full time
About Miebach Miebach Consulting is one of the world's leading supply chain-focused consulting and engineering firms. For over 50 years, we have helped clients design, optimize, and implement end-to-end supply chain solutions across industries including consumer goods, food, pharma, retail, and high-tech. Our global expertise spans Supply Chain Transformation, Engineering & Operational Excellence, and Digitalization. We are proud to be recognized among SupplyChainBrain's Top 100 Supply Chain Partners, with many of Gartner's Top 25 Supply Chains relying on Miebach to support their strategic initiatives. About the role We are seeking a Process Mining Technical Analyst to provide technical support throughout process mining projects. The role focuses on data preparation, event-log development, process mining configuration, data validation, troubleshooting, and analytical support. The successful candidate must understand process and material flows, particularly within warehouse, transportation, manufacturing, or supply chain environments. They will work closely with process mining consultants, data engineers, project managers, and client teams to ensure that the required data, process logic, KPIs, and dashboards are correctly developed and validated. The role may contribute to identifying process issues and improvement opportunities, but developing business recommendations is not the primary responsibility. Key Responsibilities Project Collaboration and Delivery Work collaboratively as an active member of multidisciplinary project teams. Support process mining projects from data discovery through delivery and handover. Participate in project meetings, workshops, working sessions, and client reviews. Provide regular updates on progress, risks, dependencies, and open technical topics. Process Understanding and Requirements Understand and document operational processes and material flows. Translate business and process requirements into technical data requirements. Identify process objects, activities, timestamps, attributes, and relationships. Support data mapping between source systems and the process mining platform. Data Preparation and Process Models Extract, clean, transform, and prepare data from WMS, TMS, ERP, MES, YMS, and other systems. Build and maintain event logs and process mining data models. Validate data, process logic, calculations, and analytical outputs. Investigate data-quality issues, missing events, inconsistent master data, and unexpected results. Process Mining Analysis and Insights Configure process mining analyses, KPIs, dashboards, filters, and process views. Contribute to the identification of process deviations, bottlenecks, and improvement opportunities when required. Support the preparation of project deliverables, demonstrations, and client presentations. Testing and Technical Troubleshooting Troubleshoot technical issues and coordinate resolution with the project team, IT teams, and platform specialists. Prepare test cases and support system testing and user acceptance testing. Assist with validating system functionality, data connections, and analytical outputs. Documentation and Knowledge Management Maintain technical documentation, data dictionaries, assumptions logs, and configuration records. Document data sources, transformations, process logic, testing results, and relevant project decisions. Qualifications Bachelor's degree in Industrial Engineering, Supply Chain, Data Analytics, Information Systems, Computer Science, or a related field 2-3 years of experience in data analysis, business intelligence, process mining, systems analysis, or technical consulting Strong understanding of process flows and material flows Experience working with transactional or operational data Practical experience with SQL and data preparation Strong attention to detail and ability to validate complex data relationships Ability to understand system transactions and connect them to real operational activities Strong troubleshooting and problem-solving skills Good written and verbal communication skills Ability to work effectively with both technical and business stakeholders Technical Skills Strong SQL skills, including joins, aggregations, window functions, and data-quality checks Understanding of data modeling, relational databases, and ETL/ELT concepts Strong Excel skills for data analysis, validation, and reconciliation Experience working with transactional and operational data Ability to understand data structures and connect system transactions to operational and material flows Experience with PQL, particularly when working with Celonis, is preferred Familiarity with process-mining platforms such as Celonis, SAP Signavio Process Intelligence, UiPath Process Mining, IBM Process Mining, or Apromore is preferred; experience with one or more platforms is sufficient Experience with Power BI or Tableau is preferred Familiarity with AI, machine learning, or advanced analytics in process-mining work-such as anomaly detection, root-cause analysis, or predictive insights-is a plus Exposure to APIs, cloud platforms, or data lakes is an asset Core Competencies Understanding of operational and material flows Technical data analysis Data quality and validation Structured troubleshooting Attention to detail Documentation and organization Collaboration and communication Ability to learn new systems and technologies Reliability and ownership Typical Deliverables Data requirements and source-to-target mappings Data dictionaries and process-flow documentation Event logs and process mining data models KPI calculations and technical definitions Dashboards and analytical views Data-quality assessments Test scripts and validation results Technical documentation and configuration records Support materials for workshops and client presentations Why Join Miebach? Flexible work hours & hybrid/remote options Competitive compensation + performance-based bonuses Comprehensive health benefits (medical, dental, vision) Career development programs & international training Flexible PTO, generous parental leave, and paid holidays 401(k) contributions & financial wellness programs PIf8a54c77a20b-9205
Software Development Engineer, Commerce Platform ADC, Team Mercury
Amazon Development Center U.S., Inc. Denver, Colorado
Application deadline: Nov 11, 2026 AWS Commerce Platform team is hiring a cleared Software Development Engineer to join the team. This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. In this role, you will join a team of highly talented engineers that build software solutions for Amazon's billing, metering, and optimization systems in air-gapped cloud environments as well as services and tooling to improve how we operate these services. This role enables you to deliver impact at scale, and the work you do unlocks the latest in billing and cost management capabilities for all of our US ADC customers. A successful Software Development Engineer is focused on building services that operate at the intersection of business problems and technology strategy. They balance constraints and consider the long-term implications of their design decisions. We are looking for a Software Development Engineer who is passionate about leading the architecture and development of application software that helps keep Amazon billing systems running efficiently and securely. On any given day, we use Java, Rust, Python, Lambda, DynamoDB, and CloudFormation, as well as other public AWS services and a host of Amazon-internal tools. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities In this role, you'll design, develop, and maintain the software systems that power Amazon's billing, metering, and optimization systems in air-gapped cloud environments. You'll build scalable solutions and collaborate with senior engineers on system architecture while mentoring junior team members. You'll own features end-to-end: gathering requirements, designing APIs and data models, implementing robust solutions, and driving operational excellence through monitoring, alarming, and on-call support. You'll work to improve data quality, reduce manual interventions in automated pipelines, and eliminate operational toil. You'll partner with cross-functional teams to integrate infrastructure data across planning, design, and deployment workflows. Above all, you'll care deeply about data integrity and system reliability, building solutions that scale with AWS's rapid growth while maintaining the accuracy our customers depend on. BASIC QUALIFICATIONS - Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 143 400.00 USD annually
11/10/2026
Full time
Application deadline: Nov 11, 2026 AWS Commerce Platform team is hiring a cleared Software Development Engineer to join the team. This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. In this role, you will join a team of highly talented engineers that build software solutions for Amazon's billing, metering, and optimization systems in air-gapped cloud environments as well as services and tooling to improve how we operate these services. This role enables you to deliver impact at scale, and the work you do unlocks the latest in billing and cost management capabilities for all of our US ADC customers. A successful Software Development Engineer is focused on building services that operate at the intersection of business problems and technology strategy. They balance constraints and consider the long-term implications of their design decisions. We are looking for a Software Development Engineer who is passionate about leading the architecture and development of application software that helps keep Amazon billing systems running efficiently and securely. On any given day, we use Java, Rust, Python, Lambda, DynamoDB, and CloudFormation, as well as other public AWS services and a host of Amazon-internal tools. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities In this role, you'll design, develop, and maintain the software systems that power Amazon's billing, metering, and optimization systems in air-gapped cloud environments. You'll build scalable solutions and collaborate with senior engineers on system architecture while mentoring junior team members. You'll own features end-to-end: gathering requirements, designing APIs and data models, implementing robust solutions, and driving operational excellence through monitoring, alarming, and on-call support. You'll work to improve data quality, reduce manual interventions in automated pipelines, and eliminate operational toil. You'll partner with cross-functional teams to integrate infrastructure data across planning, design, and deployment workflows. Above all, you'll care deeply about data integrity and system reliability, building solutions that scale with AWS's rapid growth while maintaining the accuracy our customers depend on. BASIC QUALIFICATIONS - Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 143 400.00 USD annually
Northwestern Mutual
Detection & Automation Engineer III
Northwestern Mutual Milwaukee, Wisconsin
About the Job: At Northwestern Mutual, our cybersecurity team is focused on protecting our clients, advisors, and business platforms through innovative detection and automation capabilities. As a Detection & Automation Engineer III, you will play a key role in enhancing our ability to identify, investigate, and respond to cybersecurity threats across cloud, identity, endpoint, database, and application environments. This position blends DevOps, detection engineering, SIEM administration, telemetry engineering, and data integration to improve security visibility and strengthen our threat detection program. You'll work closely with cybersecurity, infrastructure, cloud, and application teams to build scalable detection capabilities, onboard critical security telemetry, and drive continuous improvements across our security operations ecosystem. What You'll Do: Design, develop, test, and maintain advanced threat detections across a variety of security platforms and data sources. Enhance detection coverage by identifying telemetry gaps and partnering with stakeholders to improve visibility across the environment. Administer and optimize Splunk Enterprise Security, including ES frameworks, data models, reporting, dashboards, and search performance. Troubleshoot and resolve security data ingestion, field extraction, parsing, normalization, and performance issues. Partner with technology teams to onboard new security data sources and validate telemetry quality. Develop and maintain security logging standards, monitoring controls, and data quality processes. Design monitoring capabilities for enterprise databases and business-critical applications, focusing on privileged access, authentication activity, anomalous behavior, and sensitive data access. Contribute to Detection-as-Code initiatives through version control, automated testing, CI/CD pipelines, and reusable detection frameworks. Track and improve key metrics including detection coverage, alert fidelity, telemetry health, and operational effectiveness. Drive continuous improvement efforts that reduce false positives, improve detection accuracy, and streamline security operations. Provide technical leadership, mentor junior engineers, and contribute to architectural and engineering best practices. What You'll Bring to the Role: Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Engineering, or a related field, or equivalent professional experience. 2+ years of experience in cybersecurity, detection engineering, security operations, SIEM engineering, or related disciplines. Hands-on experience developing and maintaining threat detections within Splunk Enterprise Security or comparable SIEM platforms. Strong understanding of security monitoring, log management, telemetry engineering, and threat detection methodologies. Experience working with cloud platforms, identity systems, endpoint security technologies, applications, databases, and enterprise infrastructure. Knowledge of security frameworks, including MITRE ATT&CK, and their application to threat detection strategies. Experience onboarding, normalizing, and validating security data from multiple sources. Familiarity with scripting or automation technologies such as Python, PowerShell, or similar languages. Experience with source control platforms, automated testing, and CI/CD pipelines. Strong troubleshooting, analytical, and problem-solving skills with the ability to identify complex security issues and implement scalable solutions. Excellent communication and collaboration skills with the ability to work effectively across technical and business teams. Preferred Qualifications Experience with Splunk Enterprise and/or Cribl Stream. Experience supporting cybersecurity monitoring and logging requirements within regulated environments. Background in database administration, enterprise data engineering, or large-scale telemetry architectures. Experience implementing Detection-as-Code methodologies and security automation solutions. Knowledge of audit logging standards, security monitoring controls, and modern security observability practices. Relevant industry certifications such as Splunk Core Certified Power User, Splunk Enterprise Certified Administrator, GIAC, CISSP, GCIA, GCIH, or equivalent. Compensation Range: Pay Range - Start: $108,160.00 Pay Range - End: $162,240.00 Geographic Specific Pay Structure: Structure 110: $118,960.00 USD - $178,440.00 USD Structure 115: $124,400.00 USD - $186,600.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Security Logging & Monitoring (NM), Risk Management (NM), Cloud Security (NM), Threat Awareness (NM), Cloud & IT Infrastructure (NM), Application Performance Management (NM), Detection Engineering (NM), Cross Functional Partnering & Planning (NM), Professional Curiosity (NM) - Advanced (Inactive), Customer Centricity (NM), Coaching & Mentoring (NM), Engineering Expertise & Practices (NM), Security Practices (NM), Technology R&D (NM), Triage (NM), Analytical Thinking (NM), Software Development (NM), Attack Method Countermeasures (NM), Strategic Thinking (NM), Adaptive Communication (NM), Scripting & Integration (NM) FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See Northwestern Mutual Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
11/10/2026
Full time
About the Job: At Northwestern Mutual, our cybersecurity team is focused on protecting our clients, advisors, and business platforms through innovative detection and automation capabilities. As a Detection & Automation Engineer III, you will play a key role in enhancing our ability to identify, investigate, and respond to cybersecurity threats across cloud, identity, endpoint, database, and application environments. This position blends DevOps, detection engineering, SIEM administration, telemetry engineering, and data integration to improve security visibility and strengthen our threat detection program. You'll work closely with cybersecurity, infrastructure, cloud, and application teams to build scalable detection capabilities, onboard critical security telemetry, and drive continuous improvements across our security operations ecosystem. What You'll Do: Design, develop, test, and maintain advanced threat detections across a variety of security platforms and data sources. Enhance detection coverage by identifying telemetry gaps and partnering with stakeholders to improve visibility across the environment. Administer and optimize Splunk Enterprise Security, including ES frameworks, data models, reporting, dashboards, and search performance. Troubleshoot and resolve security data ingestion, field extraction, parsing, normalization, and performance issues. Partner with technology teams to onboard new security data sources and validate telemetry quality. Develop and maintain security logging standards, monitoring controls, and data quality processes. Design monitoring capabilities for enterprise databases and business-critical applications, focusing on privileged access, authentication activity, anomalous behavior, and sensitive data access. Contribute to Detection-as-Code initiatives through version control, automated testing, CI/CD pipelines, and reusable detection frameworks. Track and improve key metrics including detection coverage, alert fidelity, telemetry health, and operational effectiveness. Drive continuous improvement efforts that reduce false positives, improve detection accuracy, and streamline security operations. Provide technical leadership, mentor junior engineers, and contribute to architectural and engineering best practices. What You'll Bring to the Role: Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Engineering, or a related field, or equivalent professional experience. 2+ years of experience in cybersecurity, detection engineering, security operations, SIEM engineering, or related disciplines. Hands-on experience developing and maintaining threat detections within Splunk Enterprise Security or comparable SIEM platforms. Strong understanding of security monitoring, log management, telemetry engineering, and threat detection methodologies. Experience working with cloud platforms, identity systems, endpoint security technologies, applications, databases, and enterprise infrastructure. Knowledge of security frameworks, including MITRE ATT&CK, and their application to threat detection strategies. Experience onboarding, normalizing, and validating security data from multiple sources. Familiarity with scripting or automation technologies such as Python, PowerShell, or similar languages. Experience with source control platforms, automated testing, and CI/CD pipelines. Strong troubleshooting, analytical, and problem-solving skills with the ability to identify complex security issues and implement scalable solutions. Excellent communication and collaboration skills with the ability to work effectively across technical and business teams. Preferred Qualifications Experience with Splunk Enterprise and/or Cribl Stream. Experience supporting cybersecurity monitoring and logging requirements within regulated environments. Background in database administration, enterprise data engineering, or large-scale telemetry architectures. Experience implementing Detection-as-Code methodologies and security automation solutions. Knowledge of audit logging standards, security monitoring controls, and modern security observability practices. Relevant industry certifications such as Splunk Core Certified Power User, Splunk Enterprise Certified Administrator, GIAC, CISSP, GCIA, GCIH, or equivalent. Compensation Range: Pay Range - Start: $108,160.00 Pay Range - End: $162,240.00 Geographic Specific Pay Structure: Structure 110: $118,960.00 USD - $178,440.00 USD Structure 115: $124,400.00 USD - $186,600.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Security Logging & Monitoring (NM), Risk Management (NM), Cloud Security (NM), Threat Awareness (NM), Cloud & IT Infrastructure (NM), Application Performance Management (NM), Detection Engineering (NM), Cross Functional Partnering & Planning (NM), Professional Curiosity (NM) - Advanced (Inactive), Customer Centricity (NM), Coaching & Mentoring (NM), Engineering Expertise & Practices (NM), Security Practices (NM), Technology R&D (NM), Triage (NM), Analytical Thinking (NM), Software Development (NM), Attack Method Countermeasures (NM), Strategic Thinking (NM), Adaptive Communication (NM), Scripting & Integration (NM) FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See Northwestern Mutual Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
Boeing
Design and Analysis Engineer (Electronic Sys Design & Analy)
Boeing Saint Charles, Missouri
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Mission Systems Senior Lead Hardware Engineer to lead the definition and development of mission systems avionics and sensors for Phantom Works Advanced Weapons within Boeing Defense and Space (BDS). The selected candidate will develop a variety of avionics components in support of this program, with a focus on open architecture design constructs and reuse across Boeing Mission Systems programs. At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters at a company where diversity, equity, and inclusion are shared values. We are committed to fostering an environment for every teammate that is welcoming, respectful, and inclusive, with strong opportunities for professional growth. Find your future with us. In general, here are some of the key components this position will be supporting: Experience in Radio Frequency (RF) and/or related development and integration, including collaboration with multiple suppliers. Experience developing avionics supplier requirements, evaluating technologies, and performing multi-discipline integration across power, weight, cooling, structures, aerodynamics, signatures, and operational analysis. Experience with prototype hardware and software evaluation, lab integration, analysis, and testing. Experience with production hardware and software development, integration, testing, and validation/verification during later program phases. Experience implementing open architecture frameworks such as Open Mission Systems (OMS) and Open Communication Standard (OCS), including use of the Universal Command and Control Interface (UCI). Experience integrating Multi-Function Apertures and Multi-Function Processor architectures for multi-use sensor applications. Experience with Multi-Tier Resource Management (MTRM) integration for multi-function sensor aperture scheduling, arbitration, and skill integration. Experience integrating mission computing target hardware. Experience in sensor design and analysis across multiple RF systems, with the ability to align multiple sensor developments to support integrated weapon system capability. Position Responsibilities: Mentor hardware engineers in the development of avionics subsystems, including sharing historical lessons learned, identifying opportunities to streamline development, and fostering a culture of development excellence. Guide trade studies evaluating system performance, physical, logical, and functional interfaces, MBSE model integration, and platform capability trades across avionics systems. Lead system integration lab infrastructure and interface development to support end-to-end integration and test capabilities, from prototype/demo through production. Lead integration of avionics architecture subsystems. Support avionics performance analysis through sensitivity studies and utility curve evaluations to assess performance, supportability, and affordability. Develop Cameo models for mission system components, interfaces, and behaviors, and support requirements decomposition. Support supplier engagements and technology evaluations. Support cross-Boeing program mission systems interchanges for maximum leverage and re-use Required Qualifications Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications: Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/10/2026
Full time
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Mission Systems Senior Lead Hardware Engineer to lead the definition and development of mission systems avionics and sensors for Phantom Works Advanced Weapons within Boeing Defense and Space (BDS). The selected candidate will develop a variety of avionics components in support of this program, with a focus on open architecture design constructs and reuse across Boeing Mission Systems programs. At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters at a company where diversity, equity, and inclusion are shared values. We are committed to fostering an environment for every teammate that is welcoming, respectful, and inclusive, with strong opportunities for professional growth. Find your future with us. In general, here are some of the key components this position will be supporting: Experience in Radio Frequency (RF) and/or related development and integration, including collaboration with multiple suppliers. Experience developing avionics supplier requirements, evaluating technologies, and performing multi-discipline integration across power, weight, cooling, structures, aerodynamics, signatures, and operational analysis. Experience with prototype hardware and software evaluation, lab integration, analysis, and testing. Experience with production hardware and software development, integration, testing, and validation/verification during later program phases. Experience implementing open architecture frameworks such as Open Mission Systems (OMS) and Open Communication Standard (OCS), including use of the Universal Command and Control Interface (UCI). Experience integrating Multi-Function Apertures and Multi-Function Processor architectures for multi-use sensor applications. Experience with Multi-Tier Resource Management (MTRM) integration for multi-function sensor aperture scheduling, arbitration, and skill integration. Experience integrating mission computing target hardware. Experience in sensor design and analysis across multiple RF systems, with the ability to align multiple sensor developments to support integrated weapon system capability. Position Responsibilities: Mentor hardware engineers in the development of avionics subsystems, including sharing historical lessons learned, identifying opportunities to streamline development, and fostering a culture of development excellence. Guide trade studies evaluating system performance, physical, logical, and functional interfaces, MBSE model integration, and platform capability trades across avionics systems. Lead system integration lab infrastructure and interface development to support end-to-end integration and test capabilities, from prototype/demo through production. Lead integration of avionics architecture subsystems. Support avionics performance analysis through sensitivity studies and utility curve evaluations to assess performance, supportability, and affordability. Develop Cameo models for mission system components, interfaces, and behaviors, and support requirements decomposition. Support supplier engagements and technology evaluations. Support cross-Boeing program mission systems interchanges for maximum leverage and re-use Required Qualifications Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications: Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Leidos
RF Communications Engineer
Leidos Huntsville, Alabama
Job Description Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Are you ready for your next career challenge? Leidos Defense provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions. Following NASA's award of the High Achievability Lunar Terrain Vehicle (HALTV) program contract to Lunar Outpost, Leidos, as a key partner, is seeking RF Communications Engineer to support HALTV and other programs as part of a diverse team that develops lunar mobility systems, cislunar spacecraft, and a wide range of critical technologies for civil, military, and commercial space programs. Primary Responsibilities The Lead RF Communications Engineer will support the Leidos Space Platforms Portfolio in the development of a lunar terrain vehicle system and support equipment, primarily responsible for subsystem integration, qualification, and testing of RF communications hardware into a seamless operational system. This position requires expertise in RF simulation analysis, subsystem-level testing, electromagnetic compatibility testing, and end-to-end system verification. The role also requires the ability to translate high-level product development strategies into system requirement specifications and to work with multi-discipline engineering teams to develop lower-level detailed requirements. Candidates will work in a team environment to support design through product implementation and should be able to contribute to engineering design dispositions and support resolution of documentation discrepancies in coordination with Lunar Outpost and other team members. Candidate may be required to travel as necessary (10-20%) Basic Qualifications Candidates must possess a bachelor's degree or master's degree in Electrical Engineering, Computer Engineering or equivalent degree from an ABET-accredited institution. Candidates with master's and PhD degrees are encouraged to apply, with degree level substitution for direct industry work experience. Candidates must have 2+ years of experience with roles, as detailed in this description, with an engineering company or system integrator where design, integration, testing, and/or modification of human-rated aerospace systems communications hardware was involved. Candidate must have demonstrated experience developing RF link budgets along with hardware experience with space-based transceivers, antennas, and amplifiers. Candidate must have hands-on experience with RF simulation and analysis tools such as HFSS, CST Studio Suite, ADS, or equivalent electromagnetic simulation software. Candidate must have excellent oral and written communication skills. Candidates must have demonstrated experience effectively communicating within a team environment. Candidate must be a resident of the North Alabama area or willing to relocate to the Huntsville - North Alabama, AL area. Preferred Qualifications Preferred candidates may have experience and/or working knowledge of the following: Space Communications Systems Demonstrated the ability to architect and implement complex space-based RF communication links/systems from concept through flight operations. Proficiency with CCSDS (Consultative Committee for Space Data Systems) standards and NASA communication protocols. Understanding of communications with regards to navigation and telemetry systems. Cislunar or deep space communications heritage. Experience with NASA Deep Space Network (DSN) or Near Space Network (NSN) operations. Wi-Fi and Commercial Wireless Systems Experience with Wi-Fi standards including IEEE 802.11n, 802.11ac, and 802.11ax (Wi-Fi 6) protocols and implementations. Hands-on experience with integration and testing of Wi-Fi subsystems in aerospace or ruggedized environments. Knowledge of Wi-Fi performance tests including throughput, latency, packet error rate, and range testing. Familiarity with Wi-Fi security protocols (WPA2, WPA3) and network configuration for mission-critical applications. Experience conducting Wi-Fi subsystem qualification testing including environmental testing (thermal, vibration, vacuum). RF Design and Analysis Experience with RF PCB design using tools such as Altium Designer or Keysight ADS. Proficiency in STK (Systems Tool Kit) integration and scripting for mission analysis and end-to-end system modeling. Coordinating and planning frequency spectrum with Federal Communications Commission (FCC), Interagency Operations Advisory Group (IOAG), National Telecommunications and Information Administration (NTIA), Space Frequency Coordination Group (SFCG), and International Telecommunication Union (ITU). Knowledgeable with electromagnetic interference (EMI) analysis and testing, passive intermodulation (PIM), and harmonic effects. Experience with cosite analysis and antenna pattern analysis using computational electromagnetic software such as STK, HFSS, E3Expert, GEMACS, and/or MATLAB/Simulink. Experience across multiple frequency bands including S-Band, X-Band, Ka-Band, C-Band, L-Band, and ISM band (2.4 GHz, 5 GHz) RF design. Knowledge of RF filter design (microstrip and waveguide). Experience with test bench equipment including VNA, VSG, oscilloscopes, spectrum analyzers, and Wi-Fi test equipment. SECURITY REQ: Candidate must be a US Citizen. Candidate must possess (and be able to maintain) a Final Secret Clearance or meet the eligibility to obtain (and maintain) a Secret Clearance If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:November 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $69,550.00 - $125,725.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy . click apply for full job details
11/10/2026
Full time
Job Description Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Are you ready for your next career challenge? Leidos Defense provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions. Following NASA's award of the High Achievability Lunar Terrain Vehicle (HALTV) program contract to Lunar Outpost, Leidos, as a key partner, is seeking RF Communications Engineer to support HALTV and other programs as part of a diverse team that develops lunar mobility systems, cislunar spacecraft, and a wide range of critical technologies for civil, military, and commercial space programs. Primary Responsibilities The Lead RF Communications Engineer will support the Leidos Space Platforms Portfolio in the development of a lunar terrain vehicle system and support equipment, primarily responsible for subsystem integration, qualification, and testing of RF communications hardware into a seamless operational system. This position requires expertise in RF simulation analysis, subsystem-level testing, electromagnetic compatibility testing, and end-to-end system verification. The role also requires the ability to translate high-level product development strategies into system requirement specifications and to work with multi-discipline engineering teams to develop lower-level detailed requirements. Candidates will work in a team environment to support design through product implementation and should be able to contribute to engineering design dispositions and support resolution of documentation discrepancies in coordination with Lunar Outpost and other team members. Candidate may be required to travel as necessary (10-20%) Basic Qualifications Candidates must possess a bachelor's degree or master's degree in Electrical Engineering, Computer Engineering or equivalent degree from an ABET-accredited institution. Candidates with master's and PhD degrees are encouraged to apply, with degree level substitution for direct industry work experience. Candidates must have 2+ years of experience with roles, as detailed in this description, with an engineering company or system integrator where design, integration, testing, and/or modification of human-rated aerospace systems communications hardware was involved. Candidate must have demonstrated experience developing RF link budgets along with hardware experience with space-based transceivers, antennas, and amplifiers. Candidate must have hands-on experience with RF simulation and analysis tools such as HFSS, CST Studio Suite, ADS, or equivalent electromagnetic simulation software. Candidate must have excellent oral and written communication skills. Candidates must have demonstrated experience effectively communicating within a team environment. Candidate must be a resident of the North Alabama area or willing to relocate to the Huntsville - North Alabama, AL area. Preferred Qualifications Preferred candidates may have experience and/or working knowledge of the following: Space Communications Systems Demonstrated the ability to architect and implement complex space-based RF communication links/systems from concept through flight operations. Proficiency with CCSDS (Consultative Committee for Space Data Systems) standards and NASA communication protocols. Understanding of communications with regards to navigation and telemetry systems. Cislunar or deep space communications heritage. Experience with NASA Deep Space Network (DSN) or Near Space Network (NSN) operations. Wi-Fi and Commercial Wireless Systems Experience with Wi-Fi standards including IEEE 802.11n, 802.11ac, and 802.11ax (Wi-Fi 6) protocols and implementations. Hands-on experience with integration and testing of Wi-Fi subsystems in aerospace or ruggedized environments. Knowledge of Wi-Fi performance tests including throughput, latency, packet error rate, and range testing. Familiarity with Wi-Fi security protocols (WPA2, WPA3) and network configuration for mission-critical applications. Experience conducting Wi-Fi subsystem qualification testing including environmental testing (thermal, vibration, vacuum). RF Design and Analysis Experience with RF PCB design using tools such as Altium Designer or Keysight ADS. Proficiency in STK (Systems Tool Kit) integration and scripting for mission analysis and end-to-end system modeling. Coordinating and planning frequency spectrum with Federal Communications Commission (FCC), Interagency Operations Advisory Group (IOAG), National Telecommunications and Information Administration (NTIA), Space Frequency Coordination Group (SFCG), and International Telecommunication Union (ITU). Knowledgeable with electromagnetic interference (EMI) analysis and testing, passive intermodulation (PIM), and harmonic effects. Experience with cosite analysis and antenna pattern analysis using computational electromagnetic software such as STK, HFSS, E3Expert, GEMACS, and/or MATLAB/Simulink. Experience across multiple frequency bands including S-Band, X-Band, Ka-Band, C-Band, L-Band, and ISM band (2.4 GHz, 5 GHz) RF design. Knowledge of RF filter design (microstrip and waveguide). Experience with test bench equipment including VNA, VSG, oscilloscopes, spectrum analyzers, and Wi-Fi test equipment. SECURITY REQ: Candidate must be a US Citizen. Candidate must possess (and be able to maintain) a Final Secret Clearance or meet the eligibility to obtain (and maintain) a Secret Clearance If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:November 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $69,550.00 - $125,725.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy . click apply for full job details
Staff Application Security Engineer
BambooHR Draper, Utah
Job Description Job Description Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We're actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we're looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI's potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR's impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties AI is becoming part of how BambooHR's platform works, from features we build to agents that connect through open protocols. We're hiring a Staff Application Security Engineer to help lead application security through that shift and beyond. You'll set the review bar and standards for agentic systems, and you'll architect the agents our security team uses to scale its work. It is a hands-on, organization-level role for someone who does well in ambiguity and gets results through knowledge, influence, and the help of their team. You will: Lead security reviews and threat models of AI features and agentic systems - including autonomous agents, MCP servers, and third-party integrations - and keep review playbooks and quality criteria current Set BambooHR's security standards for AI agents, covering identity and delegated authorization, tenant- and user-scoped data access, safe handling of tool output, tool supply chain, and human-approval requirements, and track adoption as threats evolve Own the design of agents the security team uses for finding validation, triage, review assistance, and remediation - building and shipping them with clear evaluation criteria, bounded permissions, and human approval gates for high-impact actions Help developers and security champions build and use agents safely through self-serve guidance and tooling, and advocate for the partner-team investment that work requires Work with engineering and product leadership to embed security requirements into the SDLC, including design-time and release-time gates for AI features, and make agent-assisted code review, finding validation, and fix suggestions a default part of every team's CI/CD pipeline with clear blocking criteria and a fast exception path Run security programs that span multiple teams and quarters - setting goals, milestones, and success metrics; maintaining a lightweight intake, prioritization, and retrospective cadence; coordinating dependencies across engineering, product, and operations; and reporting progress, risks, and tradeoffs to leadership Represent AppSec in architecture forums, harmonize security requirements to reduce duplicated effort across teams, act as a point of escalation, and coach leaders on security tradeoffs Partner with Legal, Privacy, and GRC on AI governance to close gaps between policy intent and technical implementation through guardrails and automation, including for emerging AI regulations Train and coach software engineers and engineering teams on secure design and threat modeling, with emphasis on authentication, authorization, multi-tenancy, and AI features Mentor fellow security engineers on technical direction and career growth, and close skill gaps on the security team through onboarding, training, and mentorship Participate in an on-call rotation as needed to support incident response and resolve escalated security issues What You Need to Get the Job Done Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience 8+ years of experience in security, including 5+ years of hands-on experience in application security Experience securing multi-tenant SaaS platforms, including tenant isolation Cloud and infrastructure security experience (e.g., AWS, Azure, GCP) Hands-on experience building AI agents or agentic workflows, with concrete examples of how you handled permissions, failures, and validation - production systems, internal tools, personal or open-source projects, and substantial prototypes all count Demonstrated ability to evaluate the security of AI and agentic systems, including prompt injection, tool and context poisoning, excessive agency, delegated authorization, data leakage, and supply-chain risk in models and tools; familiarity with the OWASP Top 10 for LLM Applications, the OWASP Top 10 for Agentic Applications, or comparable frameworks Ability to design evaluations for agentic workflows covering task success, false positives and negatives, adversarial cases, and regression checks Proven experience leading threat modeling (e.g., STRIDE, attack trees) and design reviews for complex applications and APIs Deep understanding of web application and API security, including authentication and authorization (OAuth 2.0 scopes and delegation, OpenID Connect, token audience and validation), session management, and access control models Strong software engineering skills in at least one language (e.g., Python, TypeScript, PHP), including testing and maintaining tools other people depend on A track record of influencing without authority: leading cross-team initiatives, building business cases, and explaining technical risk in business terms to engineering, product, legal, and leadership audiences Experience mentoring engineers, formally or informally Sound judgment in ambiguous situations, including the ability to explain a tradeoff, recommend a mitigation, and bring risk-acceptance decisions to the right owner What Will Make Us REALLY Love You Experience securing MCP servers and gateways Experience securing AI coding assistants or developer agent tooling at organizational scale, or integrating AI-driven security checks into CI/CD pipelines Familiarity with AI governance and SaaS compliance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act, SOC 2, ISO 27001) Relevant security certifications (e.g., CSSLP, OSWE, GWAPT) Experience building or running security champions programs, such as recruiting and training champions or embedding security advocates in engineering teams What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here. Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.
11/10/2026
Full time
Job Description Job Description Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We're actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we're looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI's potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR's impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties AI is becoming part of how BambooHR's platform works, from features we build to agents that connect through open protocols. We're hiring a Staff Application Security Engineer to help lead application security through that shift and beyond. You'll set the review bar and standards for agentic systems, and you'll architect the agents our security team uses to scale its work. It is a hands-on, organization-level role for someone who does well in ambiguity and gets results through knowledge, influence, and the help of their team. You will: Lead security reviews and threat models of AI features and agentic systems - including autonomous agents, MCP servers, and third-party integrations - and keep review playbooks and quality criteria current Set BambooHR's security standards for AI agents, covering identity and delegated authorization, tenant- and user-scoped data access, safe handling of tool output, tool supply chain, and human-approval requirements, and track adoption as threats evolve Own the design of agents the security team uses for finding validation, triage, review assistance, and remediation - building and shipping them with clear evaluation criteria, bounded permissions, and human approval gates for high-impact actions Help developers and security champions build and use agents safely through self-serve guidance and tooling, and advocate for the partner-team investment that work requires Work with engineering and product leadership to embed security requirements into the SDLC, including design-time and release-time gates for AI features, and make agent-assisted code review, finding validation, and fix suggestions a default part of every team's CI/CD pipeline with clear blocking criteria and a fast exception path Run security programs that span multiple teams and quarters - setting goals, milestones, and success metrics; maintaining a lightweight intake, prioritization, and retrospective cadence; coordinating dependencies across engineering, product, and operations; and reporting progress, risks, and tradeoffs to leadership Represent AppSec in architecture forums, harmonize security requirements to reduce duplicated effort across teams, act as a point of escalation, and coach leaders on security tradeoffs Partner with Legal, Privacy, and GRC on AI governance to close gaps between policy intent and technical implementation through guardrails and automation, including for emerging AI regulations Train and coach software engineers and engineering teams on secure design and threat modeling, with emphasis on authentication, authorization, multi-tenancy, and AI features Mentor fellow security engineers on technical direction and career growth, and close skill gaps on the security team through onboarding, training, and mentorship Participate in an on-call rotation as needed to support incident response and resolve escalated security issues What You Need to Get the Job Done Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience 8+ years of experience in security, including 5+ years of hands-on experience in application security Experience securing multi-tenant SaaS platforms, including tenant isolation Cloud and infrastructure security experience (e.g., AWS, Azure, GCP) Hands-on experience building AI agents or agentic workflows, with concrete examples of how you handled permissions, failures, and validation - production systems, internal tools, personal or open-source projects, and substantial prototypes all count Demonstrated ability to evaluate the security of AI and agentic systems, including prompt injection, tool and context poisoning, excessive agency, delegated authorization, data leakage, and supply-chain risk in models and tools; familiarity with the OWASP Top 10 for LLM Applications, the OWASP Top 10 for Agentic Applications, or comparable frameworks Ability to design evaluations for agentic workflows covering task success, false positives and negatives, adversarial cases, and regression checks Proven experience leading threat modeling (e.g., STRIDE, attack trees) and design reviews for complex applications and APIs Deep understanding of web application and API security, including authentication and authorization (OAuth 2.0 scopes and delegation, OpenID Connect, token audience and validation), session management, and access control models Strong software engineering skills in at least one language (e.g., Python, TypeScript, PHP), including testing and maintaining tools other people depend on A track record of influencing without authority: leading cross-team initiatives, building business cases, and explaining technical risk in business terms to engineering, product, legal, and leadership audiences Experience mentoring engineers, formally or informally Sound judgment in ambiguous situations, including the ability to explain a tradeoff, recommend a mitigation, and bring risk-acceptance decisions to the right owner What Will Make Us REALLY Love You Experience securing MCP servers and gateways Experience securing AI coding assistants or developer agent tooling at organizational scale, or integrating AI-driven security checks into CI/CD pipelines Familiarity with AI governance and SaaS compliance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act, SOC 2, ISO 27001) Relevant security certifications (e.g., CSSLP, OSWE, GWAPT) Experience building or running security champions programs, such as recruiting and training champions or embedding security advocates in engineering teams What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here. Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

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