208 jobs found

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. Software Quality Assurance Manager Description - T his role is responsible for overseeing and managing the software quality assurance process within the organization or a video collaboration project. This is a hands on role that involves setting quality standards, defining testing strategy, leading QA team, executing the test plan, helping with test automation and ensuring that software products meet the highest levels of quality and reliability. The role works closely with cross-functional teams, including developers, product managers, and business stakeholders, to drive continuous improvement in the software development and testing processes. Onsite in Ft Collins 5-days a week Responsibilities • Provides direct and ongoing leadership for a team of individual contributors designing and implementing quality assurance and test processes and coordinating projects for end-user video conferencing application, systems software, running on hardware, local, networked, and Internet-based platforms. • Defines QA processes, methodologies, and best practices to ensure consistent and effective testing across projects. • Develops and implements a comprehensive QA strategy that aligns with the organization's goals and objectives. • Evaluates and improves QA processes to enhance efficiency, effectiveness, and automation of testing activities. • Perform Functional and Solution Testing of Video/Collaboration Software • Additionally, codes and programs test scripts, automation, and integration activities based on specific test requirements. • Conducts functional, integration, regression, and performance testing to validate software functionality. • Automates testing processes using appropriate tools and frameworks to improve efficiency and repeatability. • Monitors and enforces adherence to established coding standards, design guidelines, and best practices. • Monitors software performance and conducts load and stress testing to identify bottlenecks and performance issues. • Prepares and maintains QA-related documentation, including test plans, test matrices, and testing reports. • Communicates QA progress, results, and challenges to leadership, project teams, and other relevant stakeholders. • Collaborates with external vendors and partners to ensure the quality of outsourced or third-party software components. • Proactively identifies opportunities for process improvement and cost reduction. • Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development. • Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development. • Work from Office in Fort Collins, Colorado Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Software Engineering, Information Systems, Information Technology, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of job-related experience and 3+ years of management experience, preferably in software quality assurance, test harnesses and QA focused tools, or a related field. Preferred Certifications • Certified Software Quality Engineer • Certified Associate in Software Quality (CASQ) • Certified Software Test Engineer (CSTE) Knowledge & Skills • Agile Methodology • Application Programming Interface (API) • Automation • CI/CD • Computer Science • Copilot AI or equivalent • Debugging • Jenkins • JIRA • Python (Programming Language) • Scripting • FAST/Scrum (Software Development) • Security • SIP Protocol • Software Development • Software Engineering • Software Quality (SQA/SQC) • Software Testing • Test Automation • Test Planning • Test Rail test case management • Video Software The pay range for this role is $116,150 to $182,400 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 Posting Expiration Date: 11/10/26 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 "

Job Description Job Description Job Title: Cloud & Systems Architect Location: Remote (Occasional travel to Silver Spring, MD) Work Schedule: On-site Security Requirements: Must successfully complete required NOAA background investigation/public trust and maintain eligibility for facility and system access. Work Authorization: Must be a US Citizen AttainX is seeking an experienced Cloud & Systems Architect to support NOAA's National Weather Service. This position supports enterprise architecture and modernization through systems planning, data flow modeling, security planning, performance and capacity management, risk assessment, testing, and integration. The individual will collaborate with Government stakeholders, developers, and programmers to improve mission-critical on-premises and cloud systems. Qualifications and Education Requirements: BS/BA engineering degree (or equivalent) in a related area as well as 10+ years of overall experience in the field or in a related area. Eight (8) years of direct experience in software engineering, systems optimization, or specialized technical programming; additional relevant experience is welcome. Must have hands-on experience with Structurizr or another architecture-as-code tool, such as the C4 model , PlantUML or Mermaid Familiarity with Jira, GitHub, and/or Confluence is required Experience developing and maintaining enterprise architecture models, including current-state (As-Is) and future-state (To-Be) architectures, using ArchiMate and Microsoft Visio in alignment with The Open Group Architecture Framework (TOGAF). Experience developing and maintaining comprehensive enterprise architecture models using the C4 model, including system context, container, component, and dynamic views, leveraging tools such as Structurizr, Mermaid, PlantUML, Draw.io, and other architecture modeling solutions. Experience Implementing architecture-as-code practices that integrate with development workflows, version control, and release processes to ensure system architecture diagrams and documentation remain accurate, current, and aligned with evolving applications and infrastructure. Leveraging Infrastructure-as-Code (IaC), cloud infrastructure discovery, and automation tools to analyze existing AWS/Azure environments and generate accurate architectural diagrams depicting system components, dependencies, integrations, and data flows. Must Have Hands-on development of enterprise-wide As-Is architecture baselines and To-Be architectural roadmaps, integrating existing infrastructure documentation with emerging development activities and planned modernization initiatives over a 6-12 month planning horizon. Ability to establish repeatable processes, standards, documentation practices, and knowledge-transfer procedures to support long-term ownership, maintenance, and continuous improvement of enterprise architecture artifacts across development, engineering, and Government stakeholder teams. Current AWS Certified Solutions Architect - Professional certification, or an equivalent professional-level cloud solutions architect credential. The required certification must remain valid during employment in the role. Working knowledge of federal information security frameworks and secure systems engineering practices, including NIST SP 800-53 and FIPS 200. Ability to collaborate with developers, programmers, engineers, and project stakeholders and explain technical findings to technical and nontechnical audiences. Excellent analytical, problem-solving, written communication, and organizational skills; ability to deliver accurate documentation and meet project milestones. Ability to meet NOAA background investigation, badging, system access, nondisclosure, and information protection requirements. Job Duties: The Cloud & Solutions Architect supports NWS systems engineering and portfolio modernization activities. Responsibilities include: Define and execute systems engineering processes for assigned NWS portfolios, coordinating requirements and technical activities with developers, programmers, and Government stakeholders. Document and maintain current system architectures, configurations, dependencies, service workflows, data flows, and network connectivity; incorporate approved changes within required project timelines. Develop target architecture views and evaluate emerging technologies, cloud approaches, integration options, compatibility, and performance trade-offs. Perform systems planning, performance analysis, capacity planning, lifecycle benchmarking, and optimization to support reliable, scalable mission operations. Evaluate project architectures and data and communication standards; identify integration gaps, bottlenecks, and architectural inconsistencies. Identify and document technical, security, and implementation risks; support the Technical Risk Registry, mitigation recommendations, and recurring status reporting. Develop engineering process documentation, design guidelines, system models, data flow diagrams, technical white papers, and architecture assessments using required NWS templates. Prepare and execute systems and software test plans, integration assessments, validation activities, and deployment readiness reviews; document results and support independent verification and validation. Integrate security requirements into the systems lifecycle and support vulnerability assessments, remediation recommendations, and secure system authorization activities under applicable DOC and NOAA/NWS policies. Coordinate technical findings, integration needs, schedules, and corrective actions with the engineering team; provide accurate deliverables and progress updates. Support accessibility requirements for applicable information and communication technology and protect proprietary information, Controlled Unclassified Information, and Personally Identifiable Information. Support knowledge transfer and continuity by maintaining current technical documentation and communicating system dependencies and pending tasks. Non-Essential Functions: Other related duties as assigned. About Us AttainX, Inc. delivers technology solutions, software products, and professional services to Federal Government customers. Our people are central to achieving our customers' missions. We support quality, collaboration, and employee growth through teamwork and professional development. Benefits We are proud to offer competitive compensation and benefits packages, including paid vacation, medical, dental, and vision insurance, a matching 401(k) plan, tuition/training reimbursement, and long- and short-term disability coverage, subject to plan terms and eligibility. EEO Commitment: AttainX is an equal employment opportunity employer committed to a workplace free from discrimination. We provide equal opportunity to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other status protected by applicable law. Accommodations: Applicants and employees who need a reasonable accommodation for the application process or to perform essential job functions may contact Human Resources at AttainX HR. Physical Demands: This position primarily involves computer-based work, reviewing technical materials, and communicating with team members and stakeholders. Essential functions may be performed with or without reasonable accommodation. Work Environment: Work is normally performed at NOAA's National Weather Service Headquarters, generally during 8:00 a.m. to 5:00 p.m. operational hours, Monday through Friday, excluding federal holidays. Remote work for authorized tasks must comply with Department of Commerce remote access requirements. Office noise is usually moderate.

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. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits 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 - No Relocation - No 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 "

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems, Multi-Domain Operations, and Missile Defense Integration Business Unit (BU), Advanced Programs group has an exciting career opportunity for a Software Engineer - Level 3 or 4 to join our team of qualified, diverse individuals. Our team is chartered with providing innovative technologies to develop, design, and produce optimized product lines across multiple customers while providing a decisive advantage to the warfighter. We are excited for you to join our team working on challenging and diverse assignments in a collaborating research and development environment. The position is located on-site in Boulder, CO. Boulder is nestled in the foothills of the Rocky Mountains, and only 25 miles from downtown Denver. Position Overview: As a Software Engineer - Level 3 or 4, your experience with modern CI/CD practices and scientific programing will assist in the research, development, and release of complex mathematical software applications. You will be working within an Agile research and development environment where you will be responsible for developing and maintaining automated deployments of existing software applications to cloud environments. Additional responsibilities will include communicating technical information effectively and clearly, and present technical approaches and findings. Essential Functions: Develop and support automated build, integration and deployment workflows Deploy software applications in containerized and orchestrated environments Perform C++ software development including build, test, integration, and debugging Tool and prototype development as needed Work in cross-discipline teams, communicate clearly across various levels of engineers, and mentor junior developers through code reviews, pair programming, and knowledge sharing Technical documentation input as required Provide input to customer-facing presentations The selected candidate should thrive in a fast-paced work environment with high expectations, significantly diverse assignments, collaborative/team settings across all levels. This requisition may be filled at a higher grade based on qualifications listed below. This requisition may be filled at either a Principal Software Engineer - Level 3 or a Sr. Principal Software Engineer - Level 4. Basic Qualifications: Principal Software Engineer - Level 3: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 5 years of related experience or a Master's degree in STEM and 3 years of related experience, or 1 year with a PhD. Sr. Principal Software Engineer - Level 4: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 8 years of related experience or a Master's degree in STEM and 6 years of related experience, or 4 year with a PhD. Applicants must have a current active in-scope U.S. Government issued Top Secret security clearance and the time of applicant, with the ability to obtain and maintain a TS/SCI security clearance. Ability and willingness to travel 10% to support business needs. Experience with modern C++, development tools, and integrated development environments (IDEs) Experience with GitLab CI/CD toolchains or similar Experience with containerization technologies such as Docker or Podman Experience with Object Oriented Programming and data structures Experience developing in Linux environments Experience debugging C++ software applications Experience with inter-process communication (IPC) mechanisms Working understanding of linear algebra Familiarity with revision control, documentation, planning, and review systems like Git Familiarity with Agile software development practices and related tools such as GitLab and Jira Preferred Qualifications: Current active in-scope Top Secret/SCI (TS/SCI) security clearance Experience with C+ standards and template meta-programming Experience with Kubernetes or other container orchestration technologies Experience developing ZeroMQ-based messaging solutions Experience with multi-threaded applications and low-latency programming paradigms Interest working in a Research and Development setting Experience working with customers within the Intelligence Community Experience working with data manipulation, processing and visualization software packages Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

This job is with Invesco, 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 Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.