Davidson Technologies, Inc.
Colorado Springs, Colorado
Job Description Job Description Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation. Davidson is seeking an AI (ML) Engineer in Colorado Springs, CO. This position is an integral part of a fast-paced, innovative program for the Missile Defense Agency (MDA) involving the creation of advanced M&S, Optimization, and AI capabilities in support of the Guam Defense System (GDS). The program works cross-functionally with innovative team members skilled in Modeling & Simulation (M&S), Artificial Intelligence (AI)/Machine Learning (ML), DevSecOps, and Cybersecurity. The ideal candidate will possess a fundamental understanding of AI/ML principles, experience supporting AI/ML projects from conception to deployment, and strong communication skills. As an AI/ML Engineer, you will be responsible for developing AI/ML products directly feeding the AI/ML strategy, communicating AI/ML concepts and results to both technical and non-technical audiences, and collaborating with cross-functional teams to deliver innovative AI-powered solutions. The selected individual must be able to work with little direct supervision, work as an integral member of a product delivery team and meet time critical delivery schedules. Work will be performed at a contractor facility in Colorado Springs, CO and at Schriever SFB. All team members should be able to: Experiment with innovative theories, ideas, and concepts to expand the realm of the possible Self-organize and participate in an Agile development lifecycle Ask questions and build consensus within a cross-functional team Provide design inputs and collaborate to decompose, estimate, and refine backlog requirements Job Responsibilities: Candidate will serve as an AI Engineer for a team creating multiple AI/ML projects and the development and training environment in which they are created. Primary responsibilities include close collaboration with data team members, collaboration with functional SMEs, and developing advanced optimization models for customer product enhancement Train models and algorithms within a software product across a cross-functional team to provide value to our customer Support the full lifecycle of AI/ML projects, from problem definition and data collection to model development, deployment, and monitoring. Design, develop, and implement AI/ML models and algorithms using appropriate tools and techniques. Ensure the quality and accuracy of AI/ML models through rigorous testing and validation. Collaborate with software engineers, network security, and DevOps teams to deploy AI/ML models into production environments. Model performance of AI/ML models in production and identify areas for improvement. Communicate AI/ML concepts and results effectively to both technical and non-technical audiences. Work in close coordination with multiple teams that will use AI/ML products. Work with AI/ML Lead to define problem statements and success metrics for AI/ML products. Job Requirements: Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 4 to 6+ years of relevant experience, or a Master's degree and 3 years experience. AI Experience Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning. Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development. Algorithmic understanding of heuristic and black box approaches for optimization, such as Genetic Algorithms, Simulated Annealing, Bayesian Optimization, and Particle Swarm Optimization. Familiarity with ML algorithms, such as Decision Tree, Random Forest, Support Vector Machine, Neural Network, Convolutional Neural Network, Long Short-Term Memory. Experience evaluating models using common AI/ML concepts (e.g. cross-validation, drift monitoring, model cards, bias/fairness testing). Familiarity with response AI/model governance. AI Development Experience Proficient in building optimization models with one of the following languages: Python, C, C++ Understanding of Python's common data stack (NumPy, Pandas, SciPy) Experience with common ML frameworks for Python (scikit-learn, Tensorflow, PyTorch) Development Environment Experience Experience with collaborative programming tools (Git, Gitlab) Familiarity with Linux operating systems. Team Environment and Communication Strong communication and interpersonal skills; including presentation skills. Strong problem-solving and analytical skills. Must be self-motivated, able to work effectively in a dynamic and collaborative team environment. Ability for some limited travel (less than 10% time) to support program meetings. Excellent communication skills Desired Competencies/Experience/Certifications: 5+ years of relevant experience in Operations Research/Machine Learning Demonstrable experience building ML models in Python Experience with data manipulation and ML for big datasets Experience with MLOps tools (Kubeflow, MLflow, DVC) Knowledge of modern application development to include containerization (Docker/K8S) Demonstrable experience applying analytical and programming skills to solve optimization problems Strong algorithmic understanding of classical optimization techniques. (e.g., linear programming, gradient descent). Familiarity with Agile processes/development methodology Familiarity with cloud computing platforms such as AWS, Azure, or GCP. Clearance Requirements: Holds active DoD Secret clearance at time of application and able to obtain Top Secret Security clearance . Job Posted by ApplicantPro
11/09/2026
Full time
Job Description Job Description Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation. Davidson is seeking an AI (ML) Engineer in Colorado Springs, CO. This position is an integral part of a fast-paced, innovative program for the Missile Defense Agency (MDA) involving the creation of advanced M&S, Optimization, and AI capabilities in support of the Guam Defense System (GDS). The program works cross-functionally with innovative team members skilled in Modeling & Simulation (M&S), Artificial Intelligence (AI)/Machine Learning (ML), DevSecOps, and Cybersecurity. The ideal candidate will possess a fundamental understanding of AI/ML principles, experience supporting AI/ML projects from conception to deployment, and strong communication skills. As an AI/ML Engineer, you will be responsible for developing AI/ML products directly feeding the AI/ML strategy, communicating AI/ML concepts and results to both technical and non-technical audiences, and collaborating with cross-functional teams to deliver innovative AI-powered solutions. The selected individual must be able to work with little direct supervision, work as an integral member of a product delivery team and meet time critical delivery schedules. Work will be performed at a contractor facility in Colorado Springs, CO and at Schriever SFB. All team members should be able to: Experiment with innovative theories, ideas, and concepts to expand the realm of the possible Self-organize and participate in an Agile development lifecycle Ask questions and build consensus within a cross-functional team Provide design inputs and collaborate to decompose, estimate, and refine backlog requirements Job Responsibilities: Candidate will serve as an AI Engineer for a team creating multiple AI/ML projects and the development and training environment in which they are created. Primary responsibilities include close collaboration with data team members, collaboration with functional SMEs, and developing advanced optimization models for customer product enhancement Train models and algorithms within a software product across a cross-functional team to provide value to our customer Support the full lifecycle of AI/ML projects, from problem definition and data collection to model development, deployment, and monitoring. Design, develop, and implement AI/ML models and algorithms using appropriate tools and techniques. Ensure the quality and accuracy of AI/ML models through rigorous testing and validation. Collaborate with software engineers, network security, and DevOps teams to deploy AI/ML models into production environments. Model performance of AI/ML models in production and identify areas for improvement. Communicate AI/ML concepts and results effectively to both technical and non-technical audiences. Work in close coordination with multiple teams that will use AI/ML products. Work with AI/ML Lead to define problem statements and success metrics for AI/ML products. Job Requirements: Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 4 to 6+ years of relevant experience, or a Master's degree and 3 years experience. AI Experience Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning. Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development. Algorithmic understanding of heuristic and black box approaches for optimization, such as Genetic Algorithms, Simulated Annealing, Bayesian Optimization, and Particle Swarm Optimization. Familiarity with ML algorithms, such as Decision Tree, Random Forest, Support Vector Machine, Neural Network, Convolutional Neural Network, Long Short-Term Memory. Experience evaluating models using common AI/ML concepts (e.g. cross-validation, drift monitoring, model cards, bias/fairness testing). Familiarity with response AI/model governance. AI Development Experience Proficient in building optimization models with one of the following languages: Python, C, C++ Understanding of Python's common data stack (NumPy, Pandas, SciPy) Experience with common ML frameworks for Python (scikit-learn, Tensorflow, PyTorch) Development Environment Experience Experience with collaborative programming tools (Git, Gitlab) Familiarity with Linux operating systems. Team Environment and Communication Strong communication and interpersonal skills; including presentation skills. Strong problem-solving and analytical skills. Must be self-motivated, able to work effectively in a dynamic and collaborative team environment. Ability for some limited travel (less than 10% time) to support program meetings. Excellent communication skills Desired Competencies/Experience/Certifications: 5+ years of relevant experience in Operations Research/Machine Learning Demonstrable experience building ML models in Python Experience with data manipulation and ML for big datasets Experience with MLOps tools (Kubeflow, MLflow, DVC) Knowledge of modern application development to include containerization (Docker/K8S) Demonstrable experience applying analytical and programming skills to solve optimization problems Strong algorithmic understanding of classical optimization techniques. (e.g., linear programming, gradient descent). Familiarity with Agile processes/development methodology Familiarity with cloud computing platforms such as AWS, Azure, or GCP. Clearance Requirements: Holds active DoD Secret clearance at time of application and able to obtain Top Secret Security clearance . Job Posted by ApplicantPro
Davidson Technologies, Inc.
Colorado Springs, Colorado
Job Description Job Description Davidson has distinguished itself in the aerospace and missile defense industry with an outstanding reputation for excellence. Specifically, we're recognized for hiring noted experts, experienced engineers and scientists dedicated to designing and delivering advanced, intelligent technology solutions in defense of our Nation. Davidson Technologies Inc. is seeking a Threat Systems Data Management Specialist in Colorado Springs, CO. Threat Systems Engineering (TSE) is responsible for the development and delivery of high-fidelity threat modeling products in support of Missile Defense Agency (MDA) and MDA's Missile Defense System. The Threat Systems Data Management Specialist is responsible for mass duplication and shipment of Integrated Threat Packages (ITPs) and software applications to multiple customers. In the case of an ITP, this often times also includes collating all source data comprising the product into the ITP deliverable format. The candidate must be detailed-oriented person with the ability to visualize, coordinate and execute the generation of the final product. He or she is also responsible for the final QC of the delivered media, ensuring that it's computer readable prior to mass duplication. The individual will be required to duplicate the final delivery media (hard drive or DVD), correctly label and classify the media, pack the media for shipment, generate shipping documents, update the customer database, update the tracking database and deliver the packages to the Missile Defense Integrated Operations Center (MDIOC) shipping center. The individual must be familiar with methods of tracking and reporting on classified shipments. The candidate must also be familiar with proper storage of classified media and have knowledge of the DoD regulations associated with generating, marking and shipping of classified products. The candidate will be responsible for maintaining storage of the product masters as well as the database of all stored and shipped products. Essential Functions: Assist in the integration and distribution of deliverable threat products Implement program procedures, and work in collaboration with production team members to account for all deliverable event products. Responsible for the reception software request and delivery to given stakeholders Understand the various level of classified information and rightfully use such knowledge in every correspondence and product delivery. Interface with stakeholders, including customers to address specific needs and issues to detect, prevent, and/or minimize potential impacts to deliverable products. Support the integration of addendum products and revisions with organized tracking system to ensure rightful versions are delivered to stakeholders. Maintain databases for tracking Engineering Change Requests, TSE Requests, non-deliverables, and deliverables. Participate in process improvement activities; contribute suggestions for adapting policy to situations and update processes and procedures as required. Assist with implementation of Data Management Plan, procedures, and work instructions Coordinate, track and deliver contractual and non-contractual data for multiple contract task orders. Assist in the writing of technical and non-technical documentation for program deliverables as needed. Create working templates to ensure all deliverables and program documentation are consistent and properly marked. Job Requirements: Bachelor's degree and 2 years of experience in a technical field OR Master's Degree with 0 years of experience Must be familiar with the DoD regulations associated with generating, marking and shipping of classified products Proficiency in Microsoft Products Ability to work as part of a team to support accomplishment of team goals Must have basic understanding of the DoD Guide for Marking Classified Documents and of proper procedures for tracking, storing and cataloging classified products Must be self-motivated and detail oriented Must be familiar with basic Linux commands Must already possess an active DoD Secret clearance Preferred Requirements: Experience with classified shipping is desirable Experience with configuration management of classified products Experience with Integrated Threat Packages or MDA Ground Test events Clearance Requirement: Active DoD Secret Clearance or higher Job Posted by ApplicantPro
11/09/2026
Full time
Job Description Job Description Davidson has distinguished itself in the aerospace and missile defense industry with an outstanding reputation for excellence. Specifically, we're recognized for hiring noted experts, experienced engineers and scientists dedicated to designing and delivering advanced, intelligent technology solutions in defense of our Nation. Davidson Technologies Inc. is seeking a Threat Systems Data Management Specialist in Colorado Springs, CO. Threat Systems Engineering (TSE) is responsible for the development and delivery of high-fidelity threat modeling products in support of Missile Defense Agency (MDA) and MDA's Missile Defense System. The Threat Systems Data Management Specialist is responsible for mass duplication and shipment of Integrated Threat Packages (ITPs) and software applications to multiple customers. In the case of an ITP, this often times also includes collating all source data comprising the product into the ITP deliverable format. The candidate must be detailed-oriented person with the ability to visualize, coordinate and execute the generation of the final product. He or she is also responsible for the final QC of the delivered media, ensuring that it's computer readable prior to mass duplication. The individual will be required to duplicate the final delivery media (hard drive or DVD), correctly label and classify the media, pack the media for shipment, generate shipping documents, update the customer database, update the tracking database and deliver the packages to the Missile Defense Integrated Operations Center (MDIOC) shipping center. The individual must be familiar with methods of tracking and reporting on classified shipments. The candidate must also be familiar with proper storage of classified media and have knowledge of the DoD regulations associated with generating, marking and shipping of classified products. The candidate will be responsible for maintaining storage of the product masters as well as the database of all stored and shipped products. Essential Functions: Assist in the integration and distribution of deliverable threat products Implement program procedures, and work in collaboration with production team members to account for all deliverable event products. Responsible for the reception software request and delivery to given stakeholders Understand the various level of classified information and rightfully use such knowledge in every correspondence and product delivery. Interface with stakeholders, including customers to address specific needs and issues to detect, prevent, and/or minimize potential impacts to deliverable products. Support the integration of addendum products and revisions with organized tracking system to ensure rightful versions are delivered to stakeholders. Maintain databases for tracking Engineering Change Requests, TSE Requests, non-deliverables, and deliverables. Participate in process improvement activities; contribute suggestions for adapting policy to situations and update processes and procedures as required. Assist with implementation of Data Management Plan, procedures, and work instructions Coordinate, track and deliver contractual and non-contractual data for multiple contract task orders. Assist in the writing of technical and non-technical documentation for program deliverables as needed. Create working templates to ensure all deliverables and program documentation are consistent and properly marked. Job Requirements: Bachelor's degree and 2 years of experience in a technical field OR Master's Degree with 0 years of experience Must be familiar with the DoD regulations associated with generating, marking and shipping of classified products Proficiency in Microsoft Products Ability to work as part of a team to support accomplishment of team goals Must have basic understanding of the DoD Guide for Marking Classified Documents and of proper procedures for tracking, storing and cataloging classified products Must be self-motivated and detail oriented Must be familiar with basic Linux commands Must already possess an active DoD Secret clearance Preferred Requirements: Experience with classified shipping is desirable Experience with configuration management of classified products Experience with Integrated Threat Packages or MDA Ground Test events Clearance Requirement: Active DoD Secret Clearance or higher Job Posted by ApplicantPro
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
11/09/2026
Full time
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Job Responsibilities Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Job Requirements AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Education Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/09/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Job Responsibilities Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Job Requirements AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Education Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/09/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Distinguished Engineer - AI Infrastructure We are seeking a Distinguished Engineer with unrivaled depth in AI/ML inferencing at scale and the distributed systems foundations that power it. You will architect and ship our next-generation AI infrastructure and inferencing platform serving millions of requests with uncompromising latency, throughput, and reliability requirements. You set the technical North Star-translating high-stakes business problems into elegant, defensible architectures that teams rally behind. You drive consensus through technical authority, shaping roadmaps where your architectural decisions become company strategy. You invent solutions where standard approaches fail, and turn constraints into lasting competitive moats. Core Expertise Required: AI Inferencing & ML Systems: Deep hands-on experience with high-performance inference engines (TensorRT, vLLM, ONNX Runtime, Triton), model optimization (quantization, pruning, distillation), and serving patterns for LLMs and computer vision models at scale. Proven track record building, architecting RAG pipelines and optimizing retrieval-augmented generation workflows for production latency targets. Distributed Systems at Scale: 15+ years architecting fault-tolerant, low-latency distributed systems. Expert-level understanding of consensus protocols, distributed state management, and data consistency models under partition. Experience with high-performance filesystems and storage engines optimized for AI workloads (checkpoints, model artifacts, training datasets). AI Infrastructure & Platform Engineering: Built enterprise-grade or SaaS platforms specifically designed for AI/ML workloads-model registries, feature stores, inference gateways, and multi-tenant serving infrastructure. Deep familiarity with GPU/TPU cluster orchestration, memory hierarchy optimization, and heterogeneous compute scheduling. High-Performance Data Planes: Designed and implemented high-throughput, low-latency networking stacks for critical data path operations. Expertise in RDMA, DPDK, kernel bypass techniques, and custom protocols for inter-service and accelerator-to-accelerator communication. Security & Multi-Tenancy: Hardened multi-tenant ML infrastructure with robust isolation, end-to-end encryption, key management for model weights, and fine-grained RBAC/ABAC for data scientists and production workloads. Cloud-Native Orchestration: Expert in Kubernetes scheduling extensions (device plugins, custom controllers), service mesh for AI microservices, and API gateway patterns for model serving. Job Requirements About the team ONTAP is NetApp's flagship storage operating system. The ONTAP team drives the product strategy, roadmap, and engineering delivery for ONTAP software and systems. You are responsible for developing innovative solutions and architecture for ONTAP software and systems spanning the areas of filesystems and storage, security, networking and protocols. The solutions you architect and design will drive mission critical applications, AI infrastructure and cloud workflows for Fortune 500 companies. What will you do: Provide the technology strategy to accelerate the pace of innovation within NetApp and the Industry. Define the roadmap and long-term vision, derived from key business priorities, technology and competitive trends as well as new and emerging customer use cases. Partner with Product management and engineering to define and deliver next generation products for NetApp. Influence executive management and engineering to contribute towards a competitive portfolio. Demonstrate influence and act as a force multiplier across engineers at NetApp. Mentor senior and principal engineers and be the technical bar-raiser for senior and principal technical roles. Evangelize both internally and externally for NetApp products you own and become an industry recognized authority on related technologies and domain. What will you bring: Globally recognized as domain expert in software and system design for highly scalable distributed storage and databases, control and data plane architectures required to fuel large scale infrastructure for serving Gen AI and AI as a Service workloads. Experience building highly resilient and scalable enterprise grade products. Experience in building large scale, compute intensive stateful applications. Ownership for Product and System architecture for multiple significant projects Expertise in coding, design, architecture, subsystems, and technology trends Excellent communication skills to communicate with executives, senior leadership on products, technology trends and customer issues. Compensation: The target salary range for this position is 266,050 - 396,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary We are looking for a Distinguished Engineer (DE) reporting into Cloud Business Unit SVP&GM. Someone in this role will get the opportunity to work on building and scaling NetApp architecture and experience across all three major cloud services - Amazon Web Services, Microsoft Azure, and Google Cloud as NetApp storage is first party integrated into all these three cloud providers. This is a technical leadership role which will require collaborating with other technical leaders and software engineers across NetApp to drive innovation, engineering excellence, and designing scalable architectures. It is expected that someone in this role will work on most complex engineering problems in space of service fundamentals (availability, reliability, performance, and scalability), developer velocity (CD/CI, modern canary, and real user telemetry-based testing) and designing fault tolerant, highly available and low latency control plane architectures. To earn the respect of the NetApp software engineering community and to keep their tools sharp, Distinguished Engineers (DEs) at NetApp are hands-on practitioners, not consultants. So, it is expected that someone in this role should be able to code and serve as role model for the NetApp technical community. It is expected the person in the role will devote 40% or more of their time in producing artifacts, such as vision statements, design documents, and source code. Prior experience working as a principal or senior principal engineer in one or more high scale, geo distributed applications or services built on either of the major cloud providers will be highly preferred. Prior experience working on storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Java, Typescript, Python, or Ruby. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $285,000-355,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/09/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary We are looking for a Distinguished Engineer (DE) reporting into Cloud Business Unit SVP&GM. Someone in this role will get the opportunity to work on building and scaling NetApp architecture and experience across all three major cloud services - Amazon Web Services, Microsoft Azure, and Google Cloud as NetApp storage is first party integrated into all these three cloud providers. This is a technical leadership role which will require collaborating with other technical leaders and software engineers across NetApp to drive innovation, engineering excellence, and designing scalable architectures. It is expected that someone in this role will work on most complex engineering problems in space of service fundamentals (availability, reliability, performance, and scalability), developer velocity (CD/CI, modern canary, and real user telemetry-based testing) and designing fault tolerant, highly available and low latency control plane architectures. To earn the respect of the NetApp software engineering community and to keep their tools sharp, Distinguished Engineers (DEs) at NetApp are hands-on practitioners, not consultants. So, it is expected that someone in this role should be able to code and serve as role model for the NetApp technical community. It is expected the person in the role will devote 40% or more of their time in producing artifacts, such as vision statements, design documents, and source code. Prior experience working as a principal or senior principal engineer in one or more high scale, geo distributed applications or services built on either of the major cloud providers will be highly preferred. Prior experience working on storage systems is preferred but not mandatory. Key Responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across the Cloud business unit. Operate with independence and act as force multipliers to the benefit of the company, delivering on its most complex challenges. Foster a culture of learning and experimentation, and advocate for best engineering, QA, and Operational practices for the entire business unit. Serve as a technical leader on demanding, cross-functional engineering projects. The expectation will be to functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. Understand not just the technical and product capabilities but the nuances of the NetApp cloud business and help to understand and balance conflicting stakeholder objectives, while simultaneously building trust and demonstrating empathy with customers' needs. Architect and build modern CD/CI infrastructure which works all the time for several hundred developers working on multitude of interconnected software deployment pipelines. Architect and design modern, cloud native QA framework and components. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Job Requirements Minimum of 10+ years of experience as software engineer. 4+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams. Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices. Expert in designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture). Extensive experience building fault tolerant and high scale distributed architecture on one of the major cloud providers. Extensive experience of cloud native application or services operations, data management, migration, and security. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Proactive and self-driven, with the ability to work independently and take ownership of initiatives. Experience operating and troubleshooting reliable, scalable software systems. Experience building fully automated testing frameworks from code check-in to deployment. Proficient in at least one modern programming language such as Java, Typescript, Python, or Ruby. Prior experience building services or applications in cloud-native architectures using either AWS, Azure, or Google cloud. Experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar). Decent understanding of storage architectures, design patterns, and best practices. Preferred will be experience with storage technologies such as RAID, Volumes, Replication solutions. Assist in the career development of others, actively coach and mentor other senior and principal engineers on advanced technical issues. Contribute to building intellectual property through patents. Education Bachelor's degree in computer science or a related field or equivalent experience. Compensation: The target salary range for this position is $285,000-355,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Amazon Development Center U.S., Inc.
Seattle, Washington
Job Description 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 -we- hire/accommodations 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
11/09/2026
Full time
Job Description 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 -we- hire/accommodations 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
Job Description Job Description Davidson has distinguished itself in the aerospace and missile defense industry with an outstanding reputation for excellence. Specifically, we're recognized for hiring noted experts, experienced engineers and scientists dedicated to designing and delivering advanced, intelligent technology solutions in defense of our Nation. Davidson Technologies Inc. is seeking a (MBSE) Software Systems Engineer onsite in Roy, UT. Davidson will be supporting the Air Force's development, production, sustainment and deployment of software systems for the Sentinel Ground and Airborne Launch Control Systems, Launch Facilities and associated infrastructure. Job Responsibilities: Analyzes customers' requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications. Analyzes system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies. Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations. Develops technical documentation to include system architecture and system design documentation. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Collaborates with Architects and Product Owners to resolve systems engineering technical considerations, issues, risks, and conflicts. Holds ultimate accountability for the technical integrity, quality, and successful execution of all systems engineering deliverables within the assigned area of responsibility. Basic Qualifications: Strong, hands-on experience spanning the full DoD systems engineering lifecycle, including requirements analysis, system architecture design, interface definition, and verification/validation. Demonstrated experience utilizing Model-Based Systems Engineering (MBSE) methodologies and SysML to develop system models. Demonstrated experience defining software system architecture, software-to-software interfaces, and software-to-hardware interface control documents (ICDs). Experience with core industry-standard engineering tools, such as Cameo Systems Modeler, MagicDraw, and IBM DOORS. Solid understanding of software development lifecycles utilizing Agile and Scaled Agile Framework (SAFe) methodologies. Proven experience translating high-level mission and system-level requirements into software requirements, functional components, and user stories. Minimum of Ten (10) years of relevant systems engineering experience on programs and contracts of similar scope, type, and complexity. Bachelor's degree in engineering discipline (Aerospace, Systems, Electrical, Mechanical Computer Science) or related discipline. Four (4) years of additional SE experience may be substituted for a bachelor's degree. Preferred Qualifications: Technical background with the ability to read or understand object-oriented programming languages (e.g., C++, Java, or Python) to better bridge systems engineering and development teams. Experience with safety critical and nuclear critical software development (DO-178C, AFMAN 91-119, DO-330, etc.) Advanced proficiency in Cameo or MagicDraw. Prior direct experience working on strategic missile system-of-systems. Familiarity with DoD software cybersecurity requirements, including Risk Management Framework (RMF) and Secure Software Development Framework (SSDF) guidelines. Familiarity with DevSecOps pipelines, automated testing frameworks, and continuous integration/continuous delivery (CI/CD) environments. Experience with Jira and Confluence. Master's degree in Systems Engineering or a related technical discipline. Clearance Requirements: Active DoD Security Clearance at the Secret level or above. Job Posted by ApplicantPro
11/09/2026
Full time
Job Description Job Description Davidson has distinguished itself in the aerospace and missile defense industry with an outstanding reputation for excellence. Specifically, we're recognized for hiring noted experts, experienced engineers and scientists dedicated to designing and delivering advanced, intelligent technology solutions in defense of our Nation. Davidson Technologies Inc. is seeking a (MBSE) Software Systems Engineer onsite in Roy, UT. Davidson will be supporting the Air Force's development, production, sustainment and deployment of software systems for the Sentinel Ground and Airborne Launch Control Systems, Launch Facilities and associated infrastructure. Job Responsibilities: Analyzes customers' requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications. Analyzes system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies. Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations. Develops technical documentation to include system architecture and system design documentation. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Collaborates with Architects and Product Owners to resolve systems engineering technical considerations, issues, risks, and conflicts. Holds ultimate accountability for the technical integrity, quality, and successful execution of all systems engineering deliverables within the assigned area of responsibility. Basic Qualifications: Strong, hands-on experience spanning the full DoD systems engineering lifecycle, including requirements analysis, system architecture design, interface definition, and verification/validation. Demonstrated experience utilizing Model-Based Systems Engineering (MBSE) methodologies and SysML to develop system models. Demonstrated experience defining software system architecture, software-to-software interfaces, and software-to-hardware interface control documents (ICDs). Experience with core industry-standard engineering tools, such as Cameo Systems Modeler, MagicDraw, and IBM DOORS. Solid understanding of software development lifecycles utilizing Agile and Scaled Agile Framework (SAFe) methodologies. Proven experience translating high-level mission and system-level requirements into software requirements, functional components, and user stories. Minimum of Ten (10) years of relevant systems engineering experience on programs and contracts of similar scope, type, and complexity. Bachelor's degree in engineering discipline (Aerospace, Systems, Electrical, Mechanical Computer Science) or related discipline. Four (4) years of additional SE experience may be substituted for a bachelor's degree. Preferred Qualifications: Technical background with the ability to read or understand object-oriented programming languages (e.g., C++, Java, or Python) to better bridge systems engineering and development teams. Experience with safety critical and nuclear critical software development (DO-178C, AFMAN 91-119, DO-330, etc.) Advanced proficiency in Cameo or MagicDraw. Prior direct experience working on strategic missile system-of-systems. Familiarity with DoD software cybersecurity requirements, including Risk Management Framework (RMF) and Secure Software Development Framework (SSDF) guidelines. Familiarity with DevSecOps pipelines, automated testing frameworks, and continuous integration/continuous delivery (CI/CD) environments. Experience with Jira and Confluence. Master's degree in Systems Engineering or a related technical discipline. Clearance Requirements: Active DoD Security Clearance at the Secret level or above. Job Posted by ApplicantPro
Lead the design, development, and deployment of enterprise-scale AI systems and platforms. Set technical direction and standards, modernize legacy systems, establish AI-enabled development practices, and guide engineering teams in building secure, reliable, production-grade solutions. Responsibilities Architect and deliver scalable, resilient AI systems using LLMs, agentic systems, distributed systems, and event-driven architectures. Define enterprise architecture patterns, integration standards, and reusable platform capabilities. Lead AI-driven modernization of legacy systems, including code transformation and service decomposition. Design and implement AI-enabled software development lifecycle practices. Establish AI governance, monitoring, evaluation, and responsible AI standards. Mentor engineering teams and guide adoption of AI-assisted development and continuous system improvement. Required Skills Python Java Object-oriented programming Large language models Agentic systems Distributed systems Microservices API design Event-driven architecture Cloud, CI/CD, and Dev Ops
11/08/2026
Full time
Lead the design, development, and deployment of enterprise-scale AI systems and platforms. Set technical direction and standards, modernize legacy systems, establish AI-enabled development practices, and guide engineering teams in building secure, reliable, production-grade solutions. Responsibilities Architect and deliver scalable, resilient AI systems using LLMs, agentic systems, distributed systems, and event-driven architectures. Define enterprise architecture patterns, integration standards, and reusable platform capabilities. Lead AI-driven modernization of legacy systems, including code transformation and service decomposition. Design and implement AI-enabled software development lifecycle practices. Establish AI governance, monitoring, evaluation, and responsible AI standards. Mentor engineering teams and guide adoption of AI-assisted development and continuous system improvement. Required Skills Python Java Object-oriented programming Large language models Agentic systems Distributed systems Microservices API design Event-driven architecture Cloud, CI/CD, and Dev Ops
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
11/08/2026
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
Distinguished Engineer Please note: This position is not eligible for current or future visa sponsorship Hybrid: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Distinguished Engineer is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization. How you will make an impact: Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures. Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities. Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization. Design and implement AI-enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality. Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI. Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity. Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering. Minimum Requirements: Requires a bachelor's degree in information technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures, or any combination of education and experience which would provide an equivalent background. Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages also required, as well as experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, CI/CD, and DevOps practices. Preferred Skills, Capabilities, and Experiences: For this role, we're seeking a distinguished technical leader who combines enterprise-level strategic thinking, deep business understanding, and exceptional hands-on software engineering capabilities. The ideal candidate must demonstrate a proven track record of personally designing, building, and delivering production-grade solutions while influencing enterprise technology strategy, developing technical talent, and driving measurable business outcomes. AI Expertise and Strategic Thinking: Deep understanding of AI, generative AI, agentic systems, LLMs, intelligent automation, and modern data architectures. Experience designing and operating large-scale agentic or autonomous systems in production. Expertise with: Agent frameworks (LangChain, Semantic Kernel, AutoGen, etc.) Vector databases and retrieval-augmented generation (RAG) LLMOps, evaluation, and monitoring frameworks Experience with multi-agent coordination, planning, and memory architecture. Enterprise Data Architecture and Strategy: Deep expertise in cloud-native enterprise data platforms, lakehouse and analytical architectures, governed data products, data integration, interoperability, metadata management, data quality, lineage, and secure access across complex domains. Semantic, Context, and Knowledge Architecture: Hands-on experience designing semantic and context layers, business vocabularies and metrics, ontologies, knowledge graphs, entity relationships and resolution, and reusable knowledge representations that connect enterprise data to AI. Familiarity with RDF/OWL, SPARQL, SHACL, graph databases, and semantic modeling is highly valued. AI on Enterprise Data and Conversational Analytics: Experience implementing trustworthy natural-language analytics, text-to-SQL with governed semantic definitions, RAG/GraphRAG, semantic retrieval, context engineering, and AI agents that query, reason over, and act on enterprise data. Demonstrated attention to provenance, authorization, evaluation, explainability, and numerical accuracy. Healthcare Data and Decision Intelligence: Ability to apply enterprise data, semantics, analytics, ML, and AI to provider data and analytics, utilization management, prior authorization, clinical interoperability (FHIR/HL7), medical cost management, shift-left payment integrity, value-based care, employer analytics, claims, and care management. Experience connecting clinical, member, provider, benefit, contract, and policy data is especially valuable.
11/08/2026
Full time
Distinguished Engineer Please note: This position is not eligible for current or future visa sponsorship Hybrid: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Distinguished Engineer is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization. How you will make an impact: Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures. Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities. Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization. Design and implement AI-enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality. Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI. Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity. Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering. Minimum Requirements: Requires a bachelor's degree in information technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures, or any combination of education and experience which would provide an equivalent background. Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages also required, as well as experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, CI/CD, and DevOps practices. Preferred Skills, Capabilities, and Experiences: For this role, we're seeking a distinguished technical leader who combines enterprise-level strategic thinking, deep business understanding, and exceptional hands-on software engineering capabilities. The ideal candidate must demonstrate a proven track record of personally designing, building, and delivering production-grade solutions while influencing enterprise technology strategy, developing technical talent, and driving measurable business outcomes. AI Expertise and Strategic Thinking: Deep understanding of AI, generative AI, agentic systems, LLMs, intelligent automation, and modern data architectures. Experience designing and operating large-scale agentic or autonomous systems in production. Expertise with: Agent frameworks (LangChain, Semantic Kernel, AutoGen, etc.) Vector databases and retrieval-augmented generation (RAG) LLMOps, evaluation, and monitoring frameworks Experience with multi-agent coordination, planning, and memory architecture. Enterprise Data Architecture and Strategy: Deep expertise in cloud-native enterprise data platforms, lakehouse and analytical architectures, governed data products, data integration, interoperability, metadata management, data quality, lineage, and secure access across complex domains. Semantic, Context, and Knowledge Architecture: Hands-on experience designing semantic and context layers, business vocabularies and metrics, ontologies, knowledge graphs, entity relationships and resolution, and reusable knowledge representations that connect enterprise data to AI. Familiarity with RDF/OWL, SPARQL, SHACL, graph databases, and semantic modeling is highly valued. AI on Enterprise Data and Conversational Analytics: Experience implementing trustworthy natural-language analytics, text-to-SQL with governed semantic definitions, RAG/GraphRAG, semantic retrieval, context engineering, and AI agents that query, reason over, and act on enterprise data. Demonstrated attention to provenance, authorization, evaluation, explainability, and numerical accuracy. Healthcare Data and Decision Intelligence: Ability to apply enterprise data, semantics, analytics, ML, and AI to provider data and analytics, utilization management, prior authorization, clinical interoperability (FHIR/HL7), medical cost management, shift-left payment integrity, value-based care, employer analytics, claims, and care management. Experience connecting clinical, member, provider, benefit, contract, and policy data is especially valuable.
SK hynix memory solutions America Inc.
San Jose, California
Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team SK hynix memory solutions America Inc. (SKHMS America), a subsidiary of SK hynix NAND Product Solutions (D.B.A Solidigm), provides industry-leading controller hardware, advanced flash management systems, and firmware for NAND and post 2D-NAND based storage solutions spanning Enterprise, Client and Mobile market segments. We are part of the world's top tier semiconductor supplier, SK hynix, offering Dynamic Random Access Memory chips (DRAM), Flash memory chips (NAND Flash) and CMOS Image Sensor (CIS) for a wide range of distinguished customers globally. Description We are looking for a driven, team-oriented Senior Signal Integrity Engineer to develop next generation Solid State Drive (SSD) products. This position requires experience in hardware design and signal and power integrity design. A successful candidate will have a good knowledge of state of the art memory device technologies and interfaces such as PCIe Gen 4, 5 and 6, DDR4/5, ONFI NAND and implementation techniques required for high-speed interfaces. This candidate will need to have a good working knowledge of simulation tools, schematic capture tools and lab equipment (scopes, analyzers, etc.). Expertise in design for optimum signal and power integrity as well as hands-on lab measurements experience is a must. Responsibilities Mentoring of engineers. Provide SI/PI expertise for SSD controller package (SoC) substrate design and SSD PCB design. Participate in the design of SSD products which includes: design guidelines, reviewing designs, validation of designs and final reports of work designs. Support PCB back-end process: defining stack-up and HDI via technologies, part placement, setting routing constraints and reviews. Interface with cross functional teams to ensure the design meets all system level requirements through verification/validation in the lab. Work closely with SoC, FW, package, and circuit design engineers. Documentation and communication to design, product and executive teams. Debug and root cause analysis at all product development stages, as well as customer escalations. Minimum Qualifications BS in Electrical Engineering required; MS in Electrical Engineering is a plus. 3-8+ years of relevant working experience. High-speed SSD board designs, pre layout simulation, post layout simulation and design layout guide generation for PCIe Gen4/5/6, DDR4/5, LPDDR4/4x, NVIO and PDN. Strong fundamentals in 3D/2D EM simulation tools and transmission line theory. Required experience of EM field solvers, time and frequency domain simulation tools like Sigrity, Allegro, ADS, HFSS, SIWAVE, and HSPICE. Simulation followed by measurement correlation using Oscilloscope, VNA and TDR equipment. Excellent understanding of PCB design fundamentals: single end and differential signaling, cross talk (near end and far end), signal loss and impedance control. Excellent written and verbal communication. Preferred Qualifications Technical leader experience. Familiar with generating and interpreting data & eye diagrams at PCIe GENx speeds: NRZ, PAM3, PAM4, PAMx. High Frequency pcb low loss board material experience. Experience with flex circuit design for high speed signaling. Familiarity with PCIe operation and DRAM operation for optimizing driver and receiver equalization schemes. Knowledge of IBIS and ability to take common simulation outputs such as S-parameters from various components and determine at the system level that PRD requirements are met. Optimizing PDN and extracting PDN for PSIJ Analysis. Familiar with PCISIG, JEDEC and ONFI specifications and compliance. COMPENSATION : $110,000/yr - $175,000/yr REGARDING COMPENSATION : SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness
11/07/2026
Full time
Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team SK hynix memory solutions America Inc. (SKHMS America), a subsidiary of SK hynix NAND Product Solutions (D.B.A Solidigm), provides industry-leading controller hardware, advanced flash management systems, and firmware for NAND and post 2D-NAND based storage solutions spanning Enterprise, Client and Mobile market segments. We are part of the world's top tier semiconductor supplier, SK hynix, offering Dynamic Random Access Memory chips (DRAM), Flash memory chips (NAND Flash) and CMOS Image Sensor (CIS) for a wide range of distinguished customers globally. Description We are looking for a driven, team-oriented Senior Signal Integrity Engineer to develop next generation Solid State Drive (SSD) products. This position requires experience in hardware design and signal and power integrity design. A successful candidate will have a good knowledge of state of the art memory device technologies and interfaces such as PCIe Gen 4, 5 and 6, DDR4/5, ONFI NAND and implementation techniques required for high-speed interfaces. This candidate will need to have a good working knowledge of simulation tools, schematic capture tools and lab equipment (scopes, analyzers, etc.). Expertise in design for optimum signal and power integrity as well as hands-on lab measurements experience is a must. Responsibilities Mentoring of engineers. Provide SI/PI expertise for SSD controller package (SoC) substrate design and SSD PCB design. Participate in the design of SSD products which includes: design guidelines, reviewing designs, validation of designs and final reports of work designs. Support PCB back-end process: defining stack-up and HDI via technologies, part placement, setting routing constraints and reviews. Interface with cross functional teams to ensure the design meets all system level requirements through verification/validation in the lab. Work closely with SoC, FW, package, and circuit design engineers. Documentation and communication to design, product and executive teams. Debug and root cause analysis at all product development stages, as well as customer escalations. Minimum Qualifications BS in Electrical Engineering required; MS in Electrical Engineering is a plus. 3-8+ years of relevant working experience. High-speed SSD board designs, pre layout simulation, post layout simulation and design layout guide generation for PCIe Gen4/5/6, DDR4/5, LPDDR4/4x, NVIO and PDN. Strong fundamentals in 3D/2D EM simulation tools and transmission line theory. Required experience of EM field solvers, time and frequency domain simulation tools like Sigrity, Allegro, ADS, HFSS, SIWAVE, and HSPICE. Simulation followed by measurement correlation using Oscilloscope, VNA and TDR equipment. Excellent understanding of PCB design fundamentals: single end and differential signaling, cross talk (near end and far end), signal loss and impedance control. Excellent written and verbal communication. Preferred Qualifications Technical leader experience. Familiar with generating and interpreting data & eye diagrams at PCIe GENx speeds: NRZ, PAM3, PAM4, PAMx. High Frequency pcb low loss board material experience. Experience with flex circuit design for high speed signaling. Familiarity with PCIe operation and DRAM operation for optimizing driver and receiver equalization schemes. Knowledge of IBIS and ability to take common simulation outputs such as S-parameters from various components and determine at the system level that PRD requirements are met. Optimizing PDN and extracting PDN for PSIJ Analysis. Familiar with PCISIG, JEDEC and ONFI specifications and compliance. COMPENSATION : $110,000/yr - $175,000/yr REGARDING COMPENSATION : SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: 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. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. The Naval & Oceanic Systems business unit headquartered in Annapolis, MD values proactive, respectful, communicative, and authentic self-starters with a demonstrated ability to own their tasking and dependably deliver on commitments. The Systems Engineering, Integration, and Test & Logistics (SEIT&L) Department at Northrop Grumman Oceanic is seeking a systems engineering generalist to join our team of dedicated and talented professionals. In this position you will support complex, dynamic, maritime programs of national strategic importance. This opportunity will allow you to contribute to the development of state-of-the-art oceanic systems, providing exposure to a wide range of advanced technologies, including uncrewed undersea vehicles (UUVs), remotely operated vehicles (ROVs), undersea payloads, acoustic and non-acoustic sensors, sensor processing, navigation, platform integration, subsea and maritime-surface communication technologies, advanced algorithms, digital engineering, and more. The successful candidate will have the opportunity to: Work within multi-disciplined teams, performing in one or more of the following functions: mission engineering, requirements development & management (using DOORS), system architecture development, system modeling including Model-Based Systems Engineering (MBSE), establishing and integrating components of a digital design thread, interface development & management, concept of operations (CONOPS) development & management, trade studies / analysis of alternatives, integration & test, and verification & validation. Develop systems engineering work products associated with the functions above. Prepare and brief technical packages to program, company, and customer leadership teams. Support project and program processes, reviews, and technical planning activities. Develop content and present during milestone reviews including Systems Requirement Review (SRR), Preliminary Design Review (PDR), Critical Design Review (CDR), Test Readiness Review (TRR), Consent to Ship Review (CSR). Support capture and proposal activities. Though not required, experience with Navy customers and underwater/naval systems such as torpedoes, towed vehicles, UUVs, ROVs, SONAR/sensor systems, underwater mechanical structures and cabling, submarine payloads, etc. is desired. Experience in anti-submarine warfare, seabed warfare, mine countermeasures, and Navy tactics would also be desirable. Multiple positions are available; assignments will be made based on the candidate's qualifications. Our diverse and passionate engineering team encourages collaboration and is committed to personal and technical growth. We are distinguished by our welcoming, dependable workplace culture that supports work-life balance, innovation, and STEM outreach; all of which have made our campus a great place to work for 60 years. This is a full-time, 100% on-site position located in Annapolis, MD. PLEASE NOTE: Candidates must have an ACTIVE minimum Secret Security Clearance in order to be considered for this role. This is a multi-level requisition; offers will be made commensurate with candidate experience and qualifications. Interested candidates should consider applying, even with lesser or greater levels of experience compared to the qualifications noted below. Basic Qualifications (Level 4): Have a keen interest in working in the maritime surface / undersea domain. Applicants must have degree in a STEM field. Applicants must have 8 years of experience with a Bachelor's Degree; 6 years with Master's Degree; or 4 years with PhD Demonstrated experience in one or more Systems Engineering processes, including (but not limited to) requirements development & management, system modeling, system architecture development, interface traceability, integration & test, and verification & validation. Excellent verbal and written communication skills. Willingness to learn additional discipline areas. Current Secret clearance, and willingness to obtain a TS/SCI with CI polygraph. Preferred Qualifications: Broad experience with systems engineering applied throughout the systems "V" lifecycle model. Proficiency in requirements management and tools such as IBM DOORS. Familiarity with architecture frameworks/modeling languages (e.g., SysML, UML, DoDAF, UPDM and/or UAF). Proficiency in Model-Based tools (e.g., Cameo, ModelCenter, SIEMENS Teamcenter). Proficiency executing systems engineering functions within a digital ecosystem. Demonstrated leadership capabilities to include mentorship and working/interfacing with customers. Experience leading teams of systems engineers (e.g., as SEIT Lead). Experience preparing work products associated with the engineering milestones (e.g., SRR, PDR, CDR, TRR). Experience in naval warfare domains such as Anti-Submarine Warfare (ASW), Anti-Surface Warfare (ASUW), Mine-Warfare (MIW), Cyber Warfare, and/or other. Industry/company recognition and awards, attendance and participation in industry/engineering conferences and symposiums, and/or patents/disclosures/publications. Active TS/SCI clearance with CI poly Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $135,800.00 - $203,600.00 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.
11/06/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: 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. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. The Naval & Oceanic Systems business unit headquartered in Annapolis, MD values proactive, respectful, communicative, and authentic self-starters with a demonstrated ability to own their tasking and dependably deliver on commitments. The Systems Engineering, Integration, and Test & Logistics (SEIT&L) Department at Northrop Grumman Oceanic is seeking a systems engineering generalist to join our team of dedicated and talented professionals. In this position you will support complex, dynamic, maritime programs of national strategic importance. This opportunity will allow you to contribute to the development of state-of-the-art oceanic systems, providing exposure to a wide range of advanced technologies, including uncrewed undersea vehicles (UUVs), remotely operated vehicles (ROVs), undersea payloads, acoustic and non-acoustic sensors, sensor processing, navigation, platform integration, subsea and maritime-surface communication technologies, advanced algorithms, digital engineering, and more. The successful candidate will have the opportunity to: Work within multi-disciplined teams, performing in one or more of the following functions: mission engineering, requirements development & management (using DOORS), system architecture development, system modeling including Model-Based Systems Engineering (MBSE), establishing and integrating components of a digital design thread, interface development & management, concept of operations (CONOPS) development & management, trade studies / analysis of alternatives, integration & test, and verification & validation. Develop systems engineering work products associated with the functions above. Prepare and brief technical packages to program, company, and customer leadership teams. Support project and program processes, reviews, and technical planning activities. Develop content and present during milestone reviews including Systems Requirement Review (SRR), Preliminary Design Review (PDR), Critical Design Review (CDR), Test Readiness Review (TRR), Consent to Ship Review (CSR). Support capture and proposal activities. Though not required, experience with Navy customers and underwater/naval systems such as torpedoes, towed vehicles, UUVs, ROVs, SONAR/sensor systems, underwater mechanical structures and cabling, submarine payloads, etc. is desired. Experience in anti-submarine warfare, seabed warfare, mine countermeasures, and Navy tactics would also be desirable. Multiple positions are available; assignments will be made based on the candidate's qualifications. Our diverse and passionate engineering team encourages collaboration and is committed to personal and technical growth. We are distinguished by our welcoming, dependable workplace culture that supports work-life balance, innovation, and STEM outreach; all of which have made our campus a great place to work for 60 years. This is a full-time, 100% on-site position located in Annapolis, MD. PLEASE NOTE: Candidates must have an ACTIVE minimum Secret Security Clearance in order to be considered for this role. This is a multi-level requisition; offers will be made commensurate with candidate experience and qualifications. Interested candidates should consider applying, even with lesser or greater levels of experience compared to the qualifications noted below. Basic Qualifications (Level 4): Have a keen interest in working in the maritime surface / undersea domain. Applicants must have degree in a STEM field. Applicants must have 8 years of experience with a Bachelor's Degree; 6 years with Master's Degree; or 4 years with PhD Demonstrated experience in one or more Systems Engineering processes, including (but not limited to) requirements development & management, system modeling, system architecture development, interface traceability, integration & test, and verification & validation. Excellent verbal and written communication skills. Willingness to learn additional discipline areas. Current Secret clearance, and willingness to obtain a TS/SCI with CI polygraph. Preferred Qualifications: Broad experience with systems engineering applied throughout the systems "V" lifecycle model. Proficiency in requirements management and tools such as IBM DOORS. Familiarity with architecture frameworks/modeling languages (e.g., SysML, UML, DoDAF, UPDM and/or UAF). Proficiency in Model-Based tools (e.g., Cameo, ModelCenter, SIEMENS Teamcenter). Proficiency executing systems engineering functions within a digital ecosystem. Demonstrated leadership capabilities to include mentorship and working/interfacing with customers. Experience leading teams of systems engineers (e.g., as SEIT Lead). Experience preparing work products associated with the engineering milestones (e.g., SRR, PDR, CDR, TRR). Experience in naval warfare domains such as Anti-Submarine Warfare (ASW), Anti-Surface Warfare (ASUW), Mine-Warfare (MIW), Cyber Warfare, and/or other. Industry/company recognition and awards, attendance and participation in industry/engineering conferences and symposiums, and/or patents/disclosures/publications. Active TS/SCI clearance with CI poly Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $135,800.00 - $203,600.00 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.
Job Description Job Description Refer a friend: Referral fee program Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process. We are committed to advancing your career and look forward to supporting your professional growth. - Senior IT Application Security Engineer (SME) DEPARTMENT: Information Technology REPORTS TO: Director, Information Security LOCATION: Hybrid/Reston, VA - 3 days on-site in the office per week (Tues/Wed) SALARY : 150-180K + 7% BonusMust have the following 6-8 years of Application Security experience designing, implementing, and operating security controls within enterprise application environments. Hands-on BIG-IP WAF administration experience , including building WAF policies, configuring protections, tuning rules/policies, troubleshooting issues, reducing false positives, and maintaining WAF controls in a production environment. Hands-on container image security/scanning experience , including reviewing scan results, evaluating vulnerabilities, determining risk and remediation priorities, and working directly with development teams to resolve findings. Experience with a container security/scanning platform. The specific tool is not critical ; experience with platforms such as Prisma Cloud, Wiz, Snyk, or comparable technologies is relevant. Strong web application security knowledge, including OWASP Top 10 vulnerabilities and practical application of security controls. Experience conducting web application security scans, vulnerability assessments, and/or penetration testing. Experience partnering directly with Development and DevOps teams to integrate security into the SDLC and CI/CD pipelines. Experience with authentication and authorization technologies such as OAuth and OpenID . Strong troubleshooting and communication skills, with the ability to explain security risks and remediation requirements to both technical teams and senior IT stakeholders. Responsibilities Administer and enhance enterprise BIG-IP WAF capabilities, including building security policies, tuning rules, investigating false positives, troubleshooting application traffic issues, and maintaining effective web application protections. Design, implement, and operate application security controls across enterprise applications and supporting platforms. Perform container image security scanning and analyze vulnerabilities identified within application and container images. Assess the severity and business risk of container vulnerabilities and partner directly with development teams to prioritize and remediate findings. Work closely with Development and DevOps teams to embed security controls into the SDLC and CI/CD pipelines . Design and operate web application and API security protections, including policy configuration, rule tuning, automation, and ongoing improvement. Identify application security vulnerabilities, conduct risk assessments, and recommend practical mitigation and remediation strategies. Develop and maintain application security policies, standards, procedures, and controls. Develop security monitoring and telemetry for the application stack to improve proactive detection. Conduct technical investigations related to application security incidents and vulnerabilities. Support container security activities including image scanning, vulnerability risk assessments, and runtime security/hardening. Operate and support security technologies across cloud and/or on-premises environments. Troubleshoot security, application, and network-related issues and clearly communicate technical findings and recommended actions. Partner with senior IT stakeholders to interpret application security risks, priorities, and remediation needs. Requirements Bachelor's degree in Information Security, Computer Science, Computer/Electrical Engineering, or a related discipline, and/or equivalent relevant professional experience. 6-8 years of hands-on Application Security experience. Demonstrated production experience administering BIG-IP WAF , particularly building and tuning WAF policies. Demonstrated hands-on experience with container image scanning and vulnerability management . Experience personally reviewing container vulnerabilities and collaborating with developers on remediation-not simply operating or monitoring a scanning tool. Experience with Prisma Cloud, Wiz, Snyk, or another comparable container/application security platform. Specific platform experience is not required if the candidate has strong transferable hands-on experience. Strong understanding of OWASP Top 10 and common web application vulnerabilities. Experience with web application security scanning, vulnerability assessments, and/or penetration testing. Experience securing APIs and working with authentication/authorization technologies such as OAuth and OpenID. Experience integrating security practices and controls into CI/CD and secure software development processes. Experience operating cloud-based and/or on-premises security platforms. Ability to investigate and troubleshoot security and network-related issues using established security methodologies and best practices. Strong communicator who can work effectively with developers, DevOps engineers, operations teams, and senior IT stakeholders. Collaborative and approachable, with the ability to influence remediation and security improvements while maintaining strong cross-functional relationships. Proof of eligibility to work in the United States. INDH WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer
11/06/2026
Full time
Job Description Job Description Refer a friend: Referral fee program Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process. We are committed to advancing your career and look forward to supporting your professional growth. - Senior IT Application Security Engineer (SME) DEPARTMENT: Information Technology REPORTS TO: Director, Information Security LOCATION: Hybrid/Reston, VA - 3 days on-site in the office per week (Tues/Wed) SALARY : 150-180K + 7% BonusMust have the following 6-8 years of Application Security experience designing, implementing, and operating security controls within enterprise application environments. Hands-on BIG-IP WAF administration experience , including building WAF policies, configuring protections, tuning rules/policies, troubleshooting issues, reducing false positives, and maintaining WAF controls in a production environment. Hands-on container image security/scanning experience , including reviewing scan results, evaluating vulnerabilities, determining risk and remediation priorities, and working directly with development teams to resolve findings. Experience with a container security/scanning platform. The specific tool is not critical ; experience with platforms such as Prisma Cloud, Wiz, Snyk, or comparable technologies is relevant. Strong web application security knowledge, including OWASP Top 10 vulnerabilities and practical application of security controls. Experience conducting web application security scans, vulnerability assessments, and/or penetration testing. Experience partnering directly with Development and DevOps teams to integrate security into the SDLC and CI/CD pipelines. Experience with authentication and authorization technologies such as OAuth and OpenID . Strong troubleshooting and communication skills, with the ability to explain security risks and remediation requirements to both technical teams and senior IT stakeholders. Responsibilities Administer and enhance enterprise BIG-IP WAF capabilities, including building security policies, tuning rules, investigating false positives, troubleshooting application traffic issues, and maintaining effective web application protections. Design, implement, and operate application security controls across enterprise applications and supporting platforms. Perform container image security scanning and analyze vulnerabilities identified within application and container images. Assess the severity and business risk of container vulnerabilities and partner directly with development teams to prioritize and remediate findings. Work closely with Development and DevOps teams to embed security controls into the SDLC and CI/CD pipelines . Design and operate web application and API security protections, including policy configuration, rule tuning, automation, and ongoing improvement. Identify application security vulnerabilities, conduct risk assessments, and recommend practical mitigation and remediation strategies. Develop and maintain application security policies, standards, procedures, and controls. Develop security monitoring and telemetry for the application stack to improve proactive detection. Conduct technical investigations related to application security incidents and vulnerabilities. Support container security activities including image scanning, vulnerability risk assessments, and runtime security/hardening. Operate and support security technologies across cloud and/or on-premises environments. Troubleshoot security, application, and network-related issues and clearly communicate technical findings and recommended actions. Partner with senior IT stakeholders to interpret application security risks, priorities, and remediation needs. Requirements Bachelor's degree in Information Security, Computer Science, Computer/Electrical Engineering, or a related discipline, and/or equivalent relevant professional experience. 6-8 years of hands-on Application Security experience. Demonstrated production experience administering BIG-IP WAF , particularly building and tuning WAF policies. Demonstrated hands-on experience with container image scanning and vulnerability management . Experience personally reviewing container vulnerabilities and collaborating with developers on remediation-not simply operating or monitoring a scanning tool. Experience with Prisma Cloud, Wiz, Snyk, or another comparable container/application security platform. Specific platform experience is not required if the candidate has strong transferable hands-on experience. Strong understanding of OWASP Top 10 and common web application vulnerabilities. Experience with web application security scanning, vulnerability assessments, and/or penetration testing. Experience securing APIs and working with authentication/authorization technologies such as OAuth and OpenID. Experience integrating security practices and controls into CI/CD and secure software development processes. Experience operating cloud-based and/or on-premises security platforms. Ability to investigate and troubleshoot security and network-related issues using established security methodologies and best practices. Strong communicator who can work effectively with developers, DevOps engineers, operations teams, and senior IT stakeholders. Collaborative and approachable, with the ability to influence remediation and security improvements while maintaining strong cross-functional relationships. Proof of eligibility to work in the United States. INDH WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer WAF application Security engineer
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
11/04/2026
Full time
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
11/04/2026
Full time
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
11/04/2026
Full time
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
11/04/2026
Full time
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
11/04/2026
Full time
Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.
Job Description Job Description About Niyam IT (Niyam) Founded in 2007 by a team of visionary consultants, Niyam IT was built on the belief that exceptional technology solutions are created through the perfect balance of disciplined processes, innovation, and passion. For nearly 20 years, we have been a trusted partner to the U.S. Federal Government, delivering mission-critical IT solutions that support Emergency Preparedness and Response, Civilian Agencies, Law Enforcement, and Public Safety organizations across the nation. At Niyam, excellence is more than a goal. It is embedded in everything we do. Our commitment to quality, security, and continuous improvement is demonstrated through our CMMI DEV Level 3 accreditation, ISO certifications (ISO 9001:2015, ISO/IEC 20000-1, and ISO/IEC 27001), and active CMMC Level 2 certification. We are committed to fostering an exceptional workplace where employees are empowered to grow, innovate, and make a meaningful impact. Niyam is proud to have been recognized by The Washington Post as a Top Workplace for two consecutive years and named to the Inc. 5000 list of America's Fastest-Growing Private Companies for four consecutive years. These achievements reflect our unwavering commitment to cultivating a culture built on collaboration, excellence, innovation, and the success of our employees. Join Niyam and become part of a team where your talents help drive meaningful missions that serve and protect communities nationwide. What We Offer Flexible Work Hours: We understand that life extends beyond the traditional workday. Our flexible scheduling options empower you to balance your professional responsibilities while making time for what matters most. Remote Work Opportunities: Work where you perform best. Niyam embraces flexibility and offers remote work options that support productivity, collaboration, and work-life integration. Professional Growth & Development: At Niyam, you're not just taking a job, you're building a career. We invest in our employees through fully funded training, certifications, mentorship opportunities, and clear pathways for advancement. Exceptional People: Our employees are at the heart of everything we do. You'll work alongside talented, supportive, and mission-driven professionals who are passionate about making an impact and helping one another succeed. Innovative & Collaborative Culture: We foster an environment where creativity is encouraged, ideas are valued, and teamwork drives success. At Niyam, innovation and collaboration are part of our DNA. Commitment to Diversity & Inclusion: We believe our greatest strength lies in our people. Diverse perspectives, backgrounds, and experiences are celebrated, creating a workplace where everyone feels respected, valued, and empowered to contribute their best. Meaningful Work with Purpose: Join a team that supports critical federal missions and delivers innovative solutions that make a difference for government agencies and the communities they serve. Join us in creating a workplace where innovation, diversity, and well-being thrive. Your journey at Niyam awaits. Apply today! Niyam is seeking an experienced Performance Test Engineer to support one of our federal clients. The Performance Test Engineer is responsible for designing, developing, and executing comprehensive test strategies to validate the functionality, usability, and performance of software applications. This role participates in all stages of the software development lifecycle-from requirements analysis through deployment-ensuring that applications meet performance benchmarks, compliance standards, and end-user requirements. The engineer will collaborate closely with development and project teams to identify and resolve performance bottlenecks, automate testing processes, and provide detailed reporting and analysis. The ideal candidate possesses strong technical and communication skills, hands-on experience with performance and load testing, and the ability to mentor other QA professionals when needed. This position will work hybrid 3-4 days/week at client location in Ashburn, VA. Roles and Responsibilities: Develop and execute performance test plans, scenarios, and scripts to validate system scalability, reliability, and responsiveness. Perform load, stress, endurance, and scalability testing to identify system limitations and ensure optimal performance. Conduct functional, regression, usability, and acceptance testing as part of end-to-end validation efforts. Analyze test results and perform root cause analysis of performance issues, providing actionable feedback to development teams. Collaborate with project managers and developers to ensure testing objectives and timelines are met. Create and maintain documentation for test plans, cases, results, and defect tracking. Evaluate, recommend, and implement testing tools and strategies to improve automation and performance testing capabilities. Design, execute, and maintain load and performance test suites, and monitor test results across environments. Provide regular progress reports and quality metrics to project stakeholders. May mentor or lead other QA professionals and serve as a subject matter expert on performance testing best practices. Qualifications and Education Requirements: US Citizenship with ability to successfully obtain a federal background investigation (CBP BI). Bachelor's degree in Computer Science, Engineering, or a related field. Ability to work hybrid at client location in Ashburn, VA. Minimum of four (4) years of experience in software testing and performance engineering. Demonstrated experience with: Basic development skills with languages such as JavaScript Knowledge '/ experience using GitLab Performance and load testing tools such as JMeter, K6 API testing and validation using tools like Postman SQL and database performance analysis Defect tracking and test management systems Strong understanding of software quality assurance methodologies, SDLC processes, and CI/CD pipelines. Excellent analytical, problem-solving, and communication skills. Preferred Skills: Experience supporting federal or government IT systems. Familiarity with Agile/Scrum and DevSecOps methodologies. Experience integrating performance testing into CI/CD pipelines. Why Join Niyam Award-Winning Culture: Proudly recognized by The Washington Post as a Top Workplace for two consecutive years and named to the Inc. 5000 list of America's Fastest-Growing Private Companies for four consecutive years, reflecting our commitment to employee engagement, growth, and excellence. Meaningful Mission Impact: Join a small business trusted by federal agencies to deliver innovative solutions that support critical national missions. Drive Innovation: Play a key role in shaping the future of Niyam's proprietary technology accelerators, including GeoCube , SPHERE , and RisQ , which are used to solve complex challenges across the federal government. Accelerate Your Career: Benefit from a transparent career framework designed to support continuous learning, professional development, and advancement opportunities, including progression to Distinguished Engineer and other technical leadership roles. Collaborative, People-First Environment: Work alongside talented professionals who are passionate about innovation, teamwork, and delivering exceptional results while supporting one another's success. Join Niyam and help us win the work that matters. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. Niyam IT, Inc. is an Equal Opportunity ("EEO") Employer. All qualified applicants will receive consideration without regard to race, color, creed, religion, sex, sexual orientation, gender identity, pregnancy, marital status, partnership status, age, citizenship status, veteran or military status, medical condition, genetic information, national origin, disability, unemployment status or any other characteristic prohibited by federal, state and/or local laws.
10/20/2026
Full time
Job Description Job Description About Niyam IT (Niyam) Founded in 2007 by a team of visionary consultants, Niyam IT was built on the belief that exceptional technology solutions are created through the perfect balance of disciplined processes, innovation, and passion. For nearly 20 years, we have been a trusted partner to the U.S. Federal Government, delivering mission-critical IT solutions that support Emergency Preparedness and Response, Civilian Agencies, Law Enforcement, and Public Safety organizations across the nation. At Niyam, excellence is more than a goal. It is embedded in everything we do. Our commitment to quality, security, and continuous improvement is demonstrated through our CMMI DEV Level 3 accreditation, ISO certifications (ISO 9001:2015, ISO/IEC 20000-1, and ISO/IEC 27001), and active CMMC Level 2 certification. We are committed to fostering an exceptional workplace where employees are empowered to grow, innovate, and make a meaningful impact. Niyam is proud to have been recognized by The Washington Post as a Top Workplace for two consecutive years and named to the Inc. 5000 list of America's Fastest-Growing Private Companies for four consecutive years. These achievements reflect our unwavering commitment to cultivating a culture built on collaboration, excellence, innovation, and the success of our employees. Join Niyam and become part of a team where your talents help drive meaningful missions that serve and protect communities nationwide. What We Offer Flexible Work Hours: We understand that life extends beyond the traditional workday. Our flexible scheduling options empower you to balance your professional responsibilities while making time for what matters most. Remote Work Opportunities: Work where you perform best. Niyam embraces flexibility and offers remote work options that support productivity, collaboration, and work-life integration. Professional Growth & Development: At Niyam, you're not just taking a job, you're building a career. We invest in our employees through fully funded training, certifications, mentorship opportunities, and clear pathways for advancement. Exceptional People: Our employees are at the heart of everything we do. You'll work alongside talented, supportive, and mission-driven professionals who are passionate about making an impact and helping one another succeed. Innovative & Collaborative Culture: We foster an environment where creativity is encouraged, ideas are valued, and teamwork drives success. At Niyam, innovation and collaboration are part of our DNA. Commitment to Diversity & Inclusion: We believe our greatest strength lies in our people. Diverse perspectives, backgrounds, and experiences are celebrated, creating a workplace where everyone feels respected, valued, and empowered to contribute their best. Meaningful Work with Purpose: Join a team that supports critical federal missions and delivers innovative solutions that make a difference for government agencies and the communities they serve. Join us in creating a workplace where innovation, diversity, and well-being thrive. Your journey at Niyam awaits. Apply today! Niyam is seeking an experienced Performance Test Engineer to support one of our federal clients. The Performance Test Engineer is responsible for designing, developing, and executing comprehensive test strategies to validate the functionality, usability, and performance of software applications. This role participates in all stages of the software development lifecycle-from requirements analysis through deployment-ensuring that applications meet performance benchmarks, compliance standards, and end-user requirements. The engineer will collaborate closely with development and project teams to identify and resolve performance bottlenecks, automate testing processes, and provide detailed reporting and analysis. The ideal candidate possesses strong technical and communication skills, hands-on experience with performance and load testing, and the ability to mentor other QA professionals when needed. This position will work hybrid 3-4 days/week at client location in Ashburn, VA. Roles and Responsibilities: Develop and execute performance test plans, scenarios, and scripts to validate system scalability, reliability, and responsiveness. Perform load, stress, endurance, and scalability testing to identify system limitations and ensure optimal performance. Conduct functional, regression, usability, and acceptance testing as part of end-to-end validation efforts. Analyze test results and perform root cause analysis of performance issues, providing actionable feedback to development teams. Collaborate with project managers and developers to ensure testing objectives and timelines are met. Create and maintain documentation for test plans, cases, results, and defect tracking. Evaluate, recommend, and implement testing tools and strategies to improve automation and performance testing capabilities. Design, execute, and maintain load and performance test suites, and monitor test results across environments. Provide regular progress reports and quality metrics to project stakeholders. May mentor or lead other QA professionals and serve as a subject matter expert on performance testing best practices. Qualifications and Education Requirements: US Citizenship with ability to successfully obtain a federal background investigation (CBP BI). Bachelor's degree in Computer Science, Engineering, or a related field. Ability to work hybrid at client location in Ashburn, VA. Minimum of four (4) years of experience in software testing and performance engineering. Demonstrated experience with: Basic development skills with languages such as JavaScript Knowledge '/ experience using GitLab Performance and load testing tools such as JMeter, K6 API testing and validation using tools like Postman SQL and database performance analysis Defect tracking and test management systems Strong understanding of software quality assurance methodologies, SDLC processes, and CI/CD pipelines. Excellent analytical, problem-solving, and communication skills. Preferred Skills: Experience supporting federal or government IT systems. Familiarity with Agile/Scrum and DevSecOps methodologies. Experience integrating performance testing into CI/CD pipelines. Why Join Niyam Award-Winning Culture: Proudly recognized by The Washington Post as a Top Workplace for two consecutive years and named to the Inc. 5000 list of America's Fastest-Growing Private Companies for four consecutive years, reflecting our commitment to employee engagement, growth, and excellence. Meaningful Mission Impact: Join a small business trusted by federal agencies to deliver innovative solutions that support critical national missions. Drive Innovation: Play a key role in shaping the future of Niyam's proprietary technology accelerators, including GeoCube , SPHERE , and RisQ , which are used to solve complex challenges across the federal government. Accelerate Your Career: Benefit from a transparent career framework designed to support continuous learning, professional development, and advancement opportunities, including progression to Distinguished Engineer and other technical leadership roles. Collaborative, People-First Environment: Work alongside talented professionals who are passionate about innovation, teamwork, and delivering exceptional results while supporting one another's success. Join Niyam and help us win the work that matters. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. Niyam IT, Inc. is an Equal Opportunity ("EEO") Employer. All qualified applicants will receive consideration without regard to race, color, creed, religion, sex, sexual orientation, gender identity, pregnancy, marital status, partnership status, age, citizenship status, veteran or military status, medical condition, genetic information, national origin, disability, unemployment status or any other characteristic prohibited by federal, state and/or local laws.
