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AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services: Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 3+ years of experience with Kubernetes Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Analyst I or II (we are open to hiring at either level) to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Location: This is a hybrid role based in either our Chicago Loop or downtown DC office, with a minimum of six days per month in the office. We welcome interest from future graduates; however, this position requires a completed Bachelor's degree. If you are still pursuing your degree, please consider applying once your graduation requirements have been met. DEPARTMENT: Statistics and Data Science The Statistics and Data Science (SDS) department provides the scientific foundation required to advance NORC's project portfolio. SDS delivers rigorous, innovative, and fit-for-purpose solutions along the project lifecycle. The department provides leadership for NORC's approach on a broad range of approaches for study design and the analysis of primary and secondary data. SDS expertise includes artificial intelligence and machine learning; Bayesian analysis; causal inference; disclosure avoidance; imputation; data linkage and statistical matching for combining multiple data sources; data quality assessment; efficient and reproducible workflow development; privacy-preserving methods; small area estimation; statistical methods for survey sampling, weighting, estimation, and inference; and visualization. The SDS department works closely with research, technology, and operational teams across NORC to ensure that statistical excellence and innovation remain central to the organization's work. Many of NORC's projects and proposals are led by substantive research departments that require significant contributions from SDS staff. SDS works closely with highly collaborative groups across the organization to ensure success through cross-departmental partnerships. To further capture the innovative spirit of NORC, SDS also leads projects that target departmental focus areas. Examples of recent project topics involving SDS staff include survey design, weighting, and analysis; AI for enhancing data quality, standardization, and integration; enhancing traffic safety data; linkage of health administrative data and surveys; and testing data visualization approaches for effective communication. RESPONSIBILITIES: Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities. Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries. Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations. Perform various types of data analysis and modeling, often involving multiple data sets. Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics. Apply AI tools to help improve efficiency. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in statistics, data science, computer science, or an equivalent field. 0-2 years' relevant experience (internships included). Statistical programming in multiple packages and databases, including Python (required) Familiarity working with large data sets, conducting statistical and quantitative modeling with strong programming. Strong foundation in areas of analytic methods, data engineering, machine learning, and scientific methods of inquiry. Experience with data management, data reduction techniques and data visualization. Working knowledge of different types of data that can be sourced whether from administrative data, surveys, social media, or sensor data. Strong skills in problem solving and quantitative analysis are required, including a willingness to understand deviations and ask questions about data issues. Able to organize and prioritize work assignments to meet project needs. Strong communication, writing and data storytelling skills. Enthusiasm for teamwork and collaboration across disciplinary boundaries. Preferred Skills: Experience working with SAS, Tableau, Hadoop, Hive, Databricks, MapReduce, and/or other large data systems Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash) Experience with JavaScript programming. Qualified applicants must be eligible to work in the U.S. now and in the future. We regret that we are unable to offer visa sponsorship for this position. Please include a Resume and Cover Letter when applying. Candidates should be prepared to provide professional references upon request. SALARY AND BENEFITS: The pay range for this position is $62,000-$73,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Hendrick Autoguard - HIC Location: 6030 East Independence Blvd, Charlotte, North Carolina 28212 Position Summary The Data Engineer is a mid-level individual contributor responsible for the systems and structures that make Hendrick Autoguard's data reliable, accessible, and useful. This role owns the design and operation of the ingestion pipelines, transformation logic, and data models that serve both business intelligence and AI initiatives. This is not a role that waits for requirements to arrive fully formed. The Data Engineer is expected to develop a working understanding of how the business operates and to apply that knowledge when making technical decisions. A pipeline that runs on time but models the business incorrectly has not done its job. That distinction sits at the center of this role. The role works alongside the analysts and BI developers who build reporting on the data platform, the data science and AI teams who use curated data for model development, and the team that administers the underlying cloud infrastructure. The Data Engineer makes sure the data layer serves each of these groups well, so that none of them has to rebuild it for their own use. What This Role Does The Data Engineer owns the movement of data from source systems into the Snowflake data platform. In practice that means designing, building, and maintaining ingestion pipelines; orchestrating workflows in Dagster so they are observable, reliable, and operationally sound; and monitoring pipeline health and data availability. When a load fails or data arrives late, the Data Engineer investigates, fixes the underlying cause, and puts alerting in place so the same problem surfaces early next time rather than in a stakeholder's report. Once data lands, the Data Engineer develops and maintains the dbt transformation models that turn raw source data into clean, tested, and well-documented datasets. That includes designing dimensional models and data marts that support both reporting and machine learning use cases, and implementing data quality checks and testing standards throughout the transformation layer. Downstream consumers should be able to trust a dataset without re-verifying it themselves. The Data Engineer also prepares data for AI. That work includes structuring feature datasets and training data pipelines, and collaborating with data science and AI teams to make sure the data meets their requirements for quality, freshness, and structure. The Data Engineer contributes to the semantic layer that gives AI and analytics consumers consistent, well-defined access to business metrics and entities, and keeps data lineage and governance in view, since AI applications raise the stakes on knowing where data came from and how it may be used. The Data Engineer is also expected to advise on the strategic direction of the data engineering toolset, weighing in on platform and feature updates and evaluating new capabilities as they become available. Staying current with best practices and industry advancements in data engineering, AI data preparation, and orchestration is part of the job, not a side interest, and that knowledge should inform how the team's tools and standards evolve over time. Across all of this work, the Data Engineer builds working knowledge of the Autoguard business processes it supports, including vehicle service contract and protection product sales through dealership partners, claims administration, and cancellations, along with the workflows and decisions that depend on data from those areas. The Data Engineer engages directly with business stakeholders to understand their data needs, translates those needs into sound technical designs, and applies business context when weighing modeling decisions, pipeline priorities, and data quality standards. That knowledge makes each new request faster to scope. It also makes the Data Engineer a useful partner when a team is still working out which question it needs to answer. Adjacent Competencies Dashboard and report preparation are not a routine part of this role, and primary ownership of that work belongs to analysts and BI developers. The Data Engineer may occasionally need to support that function, though, whether by building or troubleshooting a report in a pinch or by helping an analyst work through a modeling issue at the source. The Data Engineer's core job is to deliver the modeled, tested data those teams build on, and to work with them when a reporting need exposes a gap in the data layer. Experience And Qualifications A candidate for this role has 3-7 years of professional experience in data engineering or a closely related discipline. They are proficient in SQL and have hands-on experience with a cloud data warehouse, a data transformation and modeling framework, and a workflow orchestration tool. Experience with Snowflake, dbt, and Dagster is strongly preferred, as is familiarity with AWS, including storage, IAM, and basic networking concepts. Preferred experience includes Python for pipeline development or data scripting; exposure to data quality frameworks, data contracts, or observability tooling; supporting ML pipelines or AI data preparation workflows; familiarity with medallion architecture or similar layered data design patterns; and involvement in data governance or data catalog efforts. The current technology environment includes Snowflake, Dagster, dbt, AWS (S3, EC2, and IAM), Python, and GitHub. Candidates must be able to engage with non-technical stakeholders and translate business needs into technical requirements. Clear written and verbal communication is not optional in this role. The Data Engineer produces model documentation, dataset descriptions, and design notes that analysts, data scientists, and business stakeholders rely on. That documentation needs to be accurate, specific, and usable without a follow-up conversation. Working Conditions The Data Engineer works on site at Hendrick Automotive Group headquarters in a standard office environment, collaborating in person with technology teams and the business stakeholders this role supports. Travel is minimal, and may be by car or plane. Position is not remote due to essential functions of the job. Position is required to sit for prolonged periods of time, extensive use of computer and related functions like typing and other office equipment used in regular performance of essential functions like phone, printer. Hendrick is an Equal Opportunity employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply. For more information regarding the EEOC, please visit

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated IT Web Developer III for a Full-Time position. Role Summary A Drupal front-end developer who turns WHD's modernization designs into production-grade, accessible user interfaces. Working on DOL's PACE platform (EKS, Aurora MySQL, CloudFront/WAF), the role builds the Drupal themes, components, and form experiences behind the WHD External User Portal, Workers Owed Wages, Section 14(c), FLC Online, the Wage Determination public-facing portal, and the Online Complaint Intake portal. The focus is on USWDS-compliant, mobile-first, Section 508-conformant interfaces that replace paper and form-heavy processes with guided digital journeys for workers, employers, and other stakeholders. Key Responsibilities • Build and maintain custom Drupal 10+ themes and sub-themes (Twig, Sass/CSS, JavaScript) aligned with the U.S. Web Design System (USWDS) and DOL.gov styles. • Translate wireframes, prototypes, and style guides from the UI/UX team into reusable front-end components, Twig templates, and design-system patterns. • Configure and theme Drupal content structures (Layout Builder, Paragraphs, Views, blocks, menus) so that routine changes can be made through the Drupal admin interface without custom code. • Build the front end of Webform-based public forms: multi-step and cascading-question flows, conditional logic, real-time inline validation, save-and-resume, document upload, and confirmation-number lookup. • Implement Drupal behaviors and JavaScript for interactive features, including the user interface for the OCIO-built AI chatbot embedded in the complaint intake portal. • Deliver responsive, mobile-first layouts with touch-friendly controls that work across Chrome, Firefox, Safari, and Edge (current and one previous version) on desktop, tablet, and mobile. • Build accessibility in from the start: semantic HTML, ARIA, focus management, keyboard operability, and screen reader compatibility (JAWS, NVDA) to WCAG AA / Section 508; remediate accessibility findings. • Implement bilingual (English/Spanish) interfaces using Drupal multilingual and translation modules with WHD-provided translations. • Optimize front-end performance to meet the 3-second page/form load standard: asset aggregation, image optimization, lazy loading, and cache-friendly markup for CloudFront and Redis. • Integrate front-end tagging for the DOL Data Analytics Capability (page views, submission counts, funnel abandonment) without capturing PII. • Use DOL-provided secure AI coding tools (Microsoft Copilot) as part of the mandated AI-assisted development workflow; review all generated code before commit. • Commit code to the DOL OCIO GitLab repository, participate in sprint code reviews, write front-end unit and visual regression tests, and support release through the DevSecOps pipeline. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Design, or a related field (or equivalent experience). • 5+ years of professional front-end web development experience, including 3+ years building Drupal themes (Drupal 8/9/10+). • Expert HTML5, CSS3/Sass, and JavaScript (ES6+); strong Twig templating skills. • Hands-on experience with the U.S. Web Design System (USWDS) or a comparable design system. • Experience theming Drupal Webform, Layout Builder, Paragraphs, and Views. • Demonstrated experience building WCAG AA / Section 508-conformant interfaces and testing with screen readers. • Experience with Git, Composer, npm-based front-end build tooling, and CI/CD pipelines. • Experience using AI-assisted programming tools (e.g., Microsoft Copilot, GitHub Copilot). • Experience on Agile/Scrum teams using Jira. • U.S. person; must obtain and maintain a favorable NACI / HSPD-12 background investigation. Preferred Qualifications • Acquia Certified Drupal Front End Specialist or Drupal Developer certification. • Experience with the USWDS Drupal base theme. • Experience with federal public-facing websites (21st Century IDEA, Digital.gov, Login.gov user flows). • Experience with Drupal multilingual sites, decoupled/progressively decoupled components (React or Vue), or chatbot UI integration. • DHS Trusted Tester certification. • Familiarity with containerized Drupal hosting (Docker, Kubernetes, AWS). Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Full Stack Developer - Drupal Lead for a Full-Time position. Role Summary The technical lead for WHD's Drupal modernization program, designated as Key Personnel under the task order. This hands-on Senior Full Stack Drupal Lead architects, builds, and guides delivery of the migration of WHD's legacy ASP.NET/DB2 applications to Drupal 10+ on DOL's PACE platform (EKS, Aurora MySQL, EFS, S3, Secrets Manager, CloudFront/WAF), and of new public-facing portals integrated with Appian case management. The role sets the technical standard for the team, acts as the primary technical counterpart to DOL OCIO and WHD leadership, and builds Drupal as a reusable enterprise platform rather than a set of standalone sites. Key Responsibilities • Serve as hands-on technical lead and architect for the Drupal team, leading analysis, design, development, testing, and administration of WHD's modernized applications. • Own the target Drupal solution architecture on DOL PACE and keep it aligned with the product roadmap and DOL enterprise, platform, and solution architecture; obtain DOL OCIO technical guidance and approvals. • Design event-driven integrations between Drupal and Appian (WISE/CAPS) using Kafka (e.g., Form Submitted, Document Uploaded, Status Changed), backed by versioned, API-first REST services. • Integrate Drupal with federal systems on premises and in the cloud: Login.gov, DOL SSO, SharePoint, Amazon S3 document exchange, and the OCIO AI chatbot module. • Architect a configuration-driven enterprise form framework on the Drupal Webform module, supporting dynamic and multi-step forms, conditional questions, reusable validation, document upload, and multilingual content. • Build reusable enterprise components (Kafka framework, API framework, authentication, notifications, audit logging, error handling) that future DOL projects can reuse. • Evaluate and select contributed Drupal modules and marketplace plugins before writing custom code; design and develop custom modules and connectors where needed. • Create and oversee technical process models, data models, and user interface designs; plan and execute data migration from DB2 to MySQL and data reporting activities. • Ensure solutions meet federal standards: OWASP Top 10, NIST SP 800-53 controls, FISMA ATO requirements, externalized secrets (Secrets Manager / Pod Identity), and Section 508 / WCAG AA. • Review and verify implementations against design best practices, performance (3-second load, 99.9% uptime), and security; lead code reviews each sprint. • Lead the team's AI-assisted development practice using DOL-approved tools (Microsoft Copilot) to meet the contract's requirement of up to 50% AI-generated code, with human review, security scanning, and CI/CD validation of all output. • Lead technical planning, estimation, and requirements gathering; mentor developers from requirements through delivery; keep design sessions, scrums, and other Agile/SAFe ceremonies running smoothly. • Work directly with WHD end users, SMEs, Product Owners, and Federal Project Managers to confirm that application functionality meets business needs. Required Qualifications • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). • 10+ years of hands-on full stack development experience as a team lead or architect, including a minimum of 5 years of Drupal experience. • Experience with the Drupal Webform module, custom module development, and integrating Drupal with federal systems (on premises and cloud). • Deep proficiency in PHP, Symfony/Drupal APIs, MySQL, JavaScript, Twig, and REST API design. • Experience with .NET (C#, ASP.NET) sufficient to analyze and migrate legacy applications. • Experience with AWS and/or Azure and container-based deployments (Docker, Kubernetes). • Experience delivering solutions that meet federal security and Section 508 standards. • Agile/SAFe and related developer certifications, or demonstrated equivalent experience; experience leading Agile/SAFe teams, preferably in the federal space. • Substantial experience with AI-assisted programming tools (e.g., GitHub Copilot, Microsoft Copilot, Gemini, or other DOL-approved tools). • Strong communication skills for working directly with federal stakeholders and mentoring developers. • U.S. person; must obtain and maintain a favorable NACI / HSPD-12 background investigation. Preferred Qualifications • Acquia Certified Drupal Developer, Back End Specialist, or Grand Master certification. • Experience with Kafka event-driven architecture and Appian integrations. • Experience hosting Drupal on AWS EKS with Aurora, EFS, S3, CloudFront, and Secrets Manager. • Experience leading legacy .NET-to-Drupal modernization or large-scale content and data migrations. • Experience integrating AI services (chatbots, OCR, document classification) into Drupal applications. Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

Genesis10 is currently seeking a Full Stack Developer - Remote for a contract position with a Public Sector Organization located in St. Paul, MN. This is a 9+ month contract opportunity. Compensation: $65.00 - $80.00 per hour, W2, based on qualifications Position Overview: This role involves building and maintaining both the frontend and backend of dynamic applications. The developer will create responsive interfaces, develop server-side logic, and ensure seamless data flow, performance, and security across the full stack, collaborating with designers and product teams to deliver scalable, high-quality features. Key Responsibilities: Design and implement responsive user interfaces using HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue Develop RESTful APIs or GraphQL endpoints to support dynamic features Implement server-side logic using Node.js, Python, Java, or PHP Design and maintain relational (PostgreSQL, MySQL) or NoSQL (MongoDB) databases Connect frontend and backend via APIs, ensuring seamless data flow Integrate third-party services (payment gateways, email, analytics, etc.) Implement user authentication (JWT, OAuth, session management) and security best practices Set up CI/CD pipelines for automated testing and deployment Deploy applications to cloud platforms (AWS, Azure, GCP) Write unit, integration, and end-to-end tests Work with designers, product managers, and QA engineers to refine features Participate in sprint planning, stand-ups, and retrospectives Primary Requirements: Experience with frontend frameworks such as React, Angular, or Vue Experience with backend languages such as Node.js, Python, Java, or PHP Knowledge of relational or NoSQL databases Experience with API integration, including WordPress, Airtable, AWS, and Salesforce Familiarity with user authentication and security best practices Experience with DevOps, CI/CD pipelines, and cloud deployment Ability to write and conduct unit, integration, and end-to-end tests Desired Skills: Prior experience with full stack development If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Artificial Intelligence Senior Associate Overview / Summary We are seeking an Artificial Intelligence Senior Associate to develop and deploy production-grade AI applications, algorithms, and intelligent automation solutions. This role focuses on building multi-agent systems, RAG pipelines, data-driven applications, and AI services that solve complex problems, generate recommendations, extract patterns, make predictions, and enable self-service capabilities. The role involves working across generative AI, natural language processing, deep learning, cognitive automation, intelligent process automation, and related AI technologies, with a strong emphasis on production software engineering, scalability, safety, evaluation, and observability. Key Responsibilities Understand business requirements and develop AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data, orchestrate automation, and enable self-service capabilities. Architect and deploy production multi-agent orchestration systems using modern agent frameworks with state management and checkpointing. Design and productionize RAG pipelines, including chunking, embeddings, hybrid retrieval, and reranking. Build data-driven applications that translate data into actionable intelligence through large-scale experimentation. Develop innovative applications using generative AI, deep learning, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants, and specialized programming. Research and optimize AI technologies to improve the efficiency and accuracy of data analysis and automation. Design and implement safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code solutions for deploying AI services in cloud environments. Implement evaluation pipelines and observability/tracing for AI and agent systems, including evaluation datasets, LLM-as-judge scoring, and regression monitoring. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to support safe and reliable AI outputs. Design cost and latency optimization strategies, including tiered model routing and caching. Integrate validated AI outputs with operational systems and reporting pipelines. Collaborate with data scientists to productionize AI prototypes into scalable, monitored services. Establish versioning, testing, and safe rollout practices for evolving AI and agent logic. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 3+ years of experience building production software systems, including 1-2+ years working on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production. Strong Python proficiency, including asynchronous/concurrent programming. Experience with backend frameworks such as FastAPI or Flask. Hands-on experience with agent orchestration frameworks such as LangGraph, CrewAI, LlamaIndex, or equivalent. Experience building RAG pipelines, including vector databases, embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally with Google Cloud Platform. Experience with cloud technologies such as BigQuery, Cloud Run/GKE, Vertex AI, and Pub/Sub, or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Experience with containerization and CI/CD, including Docker, Kubernetes, and GitHub Actions/Cloud Build. Experience building evaluation and observability pipelines for LLM/agent systems, including offline evaluation datasets, LLM-as-judge scoring, and tracing tools such as LangSmith, Langfuse, OpenTelemetry, or equivalent. Understanding of LLM safety practices, including guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code or SQL. Strong software engineering fundamentals, including API design, testing, version control, and security best practices. Experience with Google Cloud Platform. Preferred Qualifications Experience with cost optimization and model routing, including tiered pipelines and per-task or per-conversation cost modeling. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool and data integration across agents. Experience in a startup or 0-to-1 product environment with evolving requirements. Master's degree in Computer Science, Software Engineering, or a related field. Work Arrangement Hybrid work arrangement with four days per week onsite. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

We are seeking a skilled Core Java Developer in Columbus, OH to design, develop, test, and maintain scalable, secure, and resilient enterprise applications within a banking and financial services environment. The ideal candidate will have strong hands-on experience with Java, Spring Boot, microservices, REST APIs, and cloud-based application development. All candidates must be eligible to work in the U.S. for any employer without sponsorship now or in the future. The candidate will work closely with architects, product owners, business analysts, QA engineers, and DevOps teams to deliver reliable technology solutions that support critical banking and payment applications. Experience with AWS, event-driven architecture, automated testing, and CI/CD practices is highly preferred.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Design, build and continuously improve cloud-native Java 21 / Spring Boot services on AWS, using AI coding agents as everyday tools while owning the correctness, security and maintainability of every change Practice spec-driven development: start each behavior change from a written spec with acceptance criteria and requirement IDs, ship the spec with the code, and back it with automated unit, integration and consumer/provider contract tests (e.g., Pact) that block the merge when they fail Lead incremental modernization of Consumer 360 systems: upgrade Java 11 / Spring Boot 2 services to current runtimes, move ActiveMQ integrations to managed, event-driven messaging, and migrate on-premises workloads and databases to AWS, using facades, side-by-side comparison and safe cutover rather than big-bang rewrites Author, apply and advocate for team coding, documenting and testing standards Conduct impact analysis to proactively identify impact of a change across multiple applications Learn the business process domain to better support the business and align technologies with the business process Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Lead code reviews and communicate application changes Document systems so both people and AI agents can build, test, run and safely change them: READMEs, agent instruction files (e.g., AGENTS.md), API and event specs, and short decision records for significant design choices Debug the problems which arise in production and propose effective solutions within the application and across multiple applications Read, write and review design documents Own delivery flow end to end: measure and shorten requirement-to-production time by removing bottlenecks in specs, reviews, environments, pipelines and cross-team dependencies Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge Participate in the talent selection process Act as a mentor to guide and review the code, designs and documentation of less experienced software engineers Design, build, evaluate and operate production AI agents on AWS (Amazon Bedrock AgentCore, Spring AI), and expose customer context to other teams' agents through secure, versioned APIs and governed agent tools (e.g., MCP), with guardrails, offline and online evaluations, observability, cost controls and human review where customer impact requires it Lead the team's AI-assisted delivery model from written spec through deployment: evolve its agentic workflows, keep human approval gates, and measure success by quality and lead time rather than tool usage Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 8 years of software engineering experience or comparable depth of experience Experience in the lead role overseeing technical direction of a team of software engineering talent across multiple applications Expert, hands-on Java (17/21) and Spring Boot: building and operating production REST and event-driven services, with strong object-oriented design and design patterns Practical experience with modern, AI-assisted delivery: spec-driven development, test automation, CI/CD in GitHub Actions and small, frequent releases Practical experience in data modeling, design and messaging Experience working on mission-critical enterprise class applications Demonstrated ability to coach and mentor less experienced team members Willingness to participate in an on-call rotation Hands-on experience designing, deploying and operating cloud-native services on AWS, including containers on Kubernetes (e.g., Amazon EKS), GitOps, IAM and secrets management, observability and reliability practices such as SLOs Hands-on experience designing, building, evaluating and operating at least one LLM-powered agent in production: secure tool use (e.g., function calling, MCP), retrieval where needed, offline and online evaluation, guardrails, observability and human oversight for consequential actions Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred: Advanced use of AI-native development tools (GitHub Copilot, Claude Code or similar agents in the IDE and CLI), including writing custom instructions, reusable skills and commands, hooks and MCP integrations that make the whole team faster In-depth creation of APIs and frameworks: REST/JSON and legacy SOAP web services, JUnit 5 and Mockito, WireMock, consumer-driven contract testing (Pact), and GitHub with GitHub Actions Experience in API security, analytics, throttling, caching, logging, request and response modifications Experience with API-first design: versioned OpenAPI and event schemas agreed before code and published for consumers, people and agents alike Ability to use DDL to create database objects and relationships, construct advanced queries, and optimize query performance Financial services industry experience Experience with customer data in a regulated business: customer master data and identity resolution, consent and privacy-request fulfillment, and sensitive data exchanges such as credit-bureau reporting and disputes (e.g., Metro 2, e-OSCAR) Experience with AI agent platforms and frameworks (Amazon Bedrock and Bedrock AgentCore, Spring AI or LangChain4j; Python agent frameworks a plus) and with LLM evaluation, guardrail and observability tooling Knowledge and Skills: Ability to challenge the status quo and influence stakeholders to create innovative solutions Be collaborative with other team members, seeking a diversity of thought to meet business outcomes Ability to foster strong relationships across the organization Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day Experience and understanding of how to connect the work being done and how it drives business value Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership Sound judgment about where AI should and should not act: redesigns a workflow before automating it, sets clear tool and action boundaries for agents, keeps people in the loop for customer-impacting decisions, and evaluates AI output for accuracy, safety (including prompt injection and data leakage) and bias Cost- and value-aware engineering: understands the cost drivers of cloud and AI workloads (compute, storage, data transfer, model tokens) and makes evidence-based trade-offs among customer experience, reliability, speed and spend Consumer 360 role-specific behaviors AI-First Mindset: Starts from AI when building and running software. Redesigns the work before automating it, uses agents to multiply the team's capacity, and stays fully accountable for the quality, security and cost of everything AI produces. Customer Data Stewardship: Treats customer data as a trust obligation. Protects personal information, honors consent and privacy choices, and respects clear data ownership and authoritative sources so customers, colleagues and agents see accurate context. Target Compensation: This position offers a competitive base salary, with a range of$185,805 - $260,127. This position is eligible for an annual variable incentive of cash and equity, between 10-20%. Actual amounts are based on individual performance . click apply for full job details

Pay Range: $65.00hr - $70.00hr Job Overview: The Global Labeling group designs, develops, and supports product labeling for the full lifecycle of the organization's products. This position is within Global Labeling, reporting to the Label Design and Development Manager. As a Graphic Production Designer & Label Specialist, the successful candidate will work closely with internal labeling project leads/managers, designers, mechanical engineers, supplier engineers, and purchasing to create print-ready system label artwork and drawings with specifications. Supplied design intents are used to create label artwork and detailed drawings; the labels are released in Agile for the supplier to manufacture finished labels for all new and sustaining system labels. As a production designer, the candidate will create reproducible drawings or artwork that enable an efficient design-to-release process. The role requires using creativity with Label Design tools (Adobe Illustrator, BarTender, or labeling applications) to own and create labeling artwork across Business Units for Systems, Packaging Labels, and translated caution and warning system label kits for approximately 24 languages. The ideal candidate possesses an innovative and adaptable passion to blend aesthetics and functionality to produce artwork efficiently. The candidate should be a self-starter with a Experienced attitude toward design feedback, work quickly and accurately, have an eye for detail, and be a quick learner of complex information. Essential Job Duties: This position requires collaborating cross-functionally among multiple departments and effectively working with Test Engineering, Quality, Regulatory, Project Management, Document Control, Industrial Design-Product Graphics, and Engineering. The candidate will work closely with fellow labeling specialists and project managers to create quality labeling for system and package labels to support worldwide business needs and solutions for the manufacturing team's multiple product lines. Support and execute company initiatives and Quality Management System (QMS) as identified by management. Manage multiple, simultaneous labeling projects and meet specified department and corporate requirements and goal deadlines. Coordinate with internal project leads/managers and stakeholders to ensure labels meet compliance, regulatory, and legal requirements. Maintain intense focus and attention to detail, with the ability to handle pressure, short timeframes, and unexpected changes while keeping projects running smoothly. Required Skills and Experience: Demonstrated ownership, supporting, and managing deadlines among cross-functional teams, while organizing and prioritizing multiple projects within a fast-paced environment and capable of executing frequent iterations with patience. Ability to learn quickly, comprehend complex technical information, and express concepts in both verbal and written forms. Ability to recognize critical issues, problem solve, respond quickly under pressure, and see issues to closure with coordinated direction. Strong verbal and written communication skills, interpersonal, organizational, and self-management skills required. Required Education and Training: Minimum education: BS / BA. Minimum of 4+ years product labeling experience working within a highly regulated, medical device or life science environment. Expert knowledge and user of the Adobe Creative Cloud Suite, especially Illustrator, Photoshop, and Acrobat Pro, Sketch, Figma, or other similar applications. Familiarity with CAD drawings and ability to interpret them accurately, as well as the ability to visualize the product three-dimensionally with marking or labeling. Experience with or knowledge of printing processes: screen, pad, and laser printing for on-product markings, and screened printing on UL-compliant Polycarbonate labeling material for system labels is necessary. Ability to specify color and complex die cut measurements, in both inches and metrics, and communicate other pertinent details to the supplier via supplier drawings. Responsible for execution final review and approval of supplier proof and approve first article reports in SAP. Support automated packaging labeling design, executing and processing labels using ILMS, a custom version of Innovatum or similar enterprise labeling management system, as well as create labels in BarTender software. Able to execute required label qualifications including attribute, images, symbols, and translations tables, and provide training and problem-solving assistance. Troubleshoot issues, communicate impact, and propose solutions. Support and execute complex/major design change projects in conjunction with Product Labeling Design and Development project managers and engineering teams. Should be able to execute tasks independently for minor projects which require minimum content updates/changes. Strong critical thinker with the ability to research issues, consider alternative viewpoints, logically reason, analyze, solve problems, and make decisions on key issues with stakeholder input. Preferred Skills and Experience: Proficient in Design, Layout, and Color theory. Experience with Innovatum's Robar label management system or similar enterprise labeling management system. Proficient user of enterprise level project management software such as Tableau, Smartsheet, or similar products. SAP is a plus. Experience with change management or document control processes, possessing a working knowledge or experience with Agile PLM or similar PLM business systems. Other skills and abilities: Able to learn and apply established procedures in a reliable and consistent manner. Strong leadership, negotiation, interpersonal, communication, and facilitation skills. Ability to lead and deliver in a matrix organization environment. Excellent written and verbal communication skills with the ability to work effectively across departments and influence stakeholders. Strong problem-solving skills and ability to be self-managed in a fast-paced environment utilizing agile/sprint methodologies. Quick learner with the ability to understand complex products and processes. Ability to work in a team environment. High level of attention to technical details and accuracy. Ability to work independently and with minimal supervision. Ability to multitask, and handle tasks with competing priorities effectively. Proficient with MS Office applications, including Word, Excel, Outlook, and Teams. Accept and adhere to high ethical, moral, and personal values in decisions, communications, actions, and when dealing with others. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

About Arcticom, LLC Arcticom LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Cloud Engineer Location - Remote The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Develop architecture for Cloud environments. Promote DevOps engineering principles throughout the portfolio. Assess cloud architecture for scalability, security, resilience, and mission alignment. Use logic and reasoning to identify the strengths and weaknesses of alternative technical solutions, conclusions, or approaches to problems, driving data- driven decisions. Evaluate the analytics from the cloud environment to make recommendations for improvements and optimization. Provide technical advisory to leadership, engineers, and cybersecurity SMEs. Ensure cloud solutions are secure, interoperable, and compliant with engineering, cybersecurity, and program requirements. Build out solutions that monitor performance and deliver capabilities such as data interfaces, generative AI, Large Language Models (LLMs), and workflows. Use of systems engineering practices such as digital twin, modeling, and simulation to improve the systems of systems technology stack. Required (Minimum Necessary) Qualifications Education Requirements: Bachelor's Degree or seven years of equivalent experience Seven years of experience in all aspects of cloud computing (compute, storage, platforms, data, and security). Proven track record in implementing large-scale cloud environments. Hands-on experience in cloud computing-based services architecture, technical design, and implementations, including IaaS and PaaS. Must be a US Citizen. Must have or be able to attain a SECRET security clearance. Knowledge, Skills, Abilities, and Other Characteristics Deep knowledge of AWS, Azure, Oracle, or Google Cloud, with experience in large-scale deployments. Strong knowledge of Cloud cost optimization techniques. Experience in one or more automation languages (CLI, Python, Ruby, PowerShell). Strong knowledge of Direct Connect, Private Link, VPN and other Public Cloud connectivity solutions. Thorough understanding of infrastructure automation, CI/CD, networking, storage, and cloud-based delivery models. Strong knowledge in networking and web standards such as DNS, DHCP, TCP/IP, HTTP, web security & firewalls. Highly experienced in autoscaling, load balancing and DR cloud computing models. Experience in SSO/Federation. Working knowledge of configuration management tools (Chef, Puppet & Ansible). Thorough understanding of Cloud native, vendor agnostic & cloud ready app development. Thorough understanding of Cloud Governance. Strong working knowledge in cloud monitoring tools, application performance monitoring tools and operational dashboarding. Preferred Agile development experience. Active SECRET security clearance. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. Typical work hours are 7:30 a.m. to 4:15 p.m. (Central Time). This job may require additional hours. Work hours may change at Management's discretion with or without prior notice. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

Genesis10 is currently seeking a Senior AI Engineer for a contract to hire position with a Regional Financial Institution located in Columbus, OH. This is a 3+ month contract-to-hire opportunity. Candidates can also be located in: Charlotte, NC; Atlanta, GA: Chicago, IL; Minnetonka, MN; Detroit, MI; Dallas, TX. Compensation: $65.00 - $75.00 per hour, W2, based on qualifications Position Overview: We are looking for a talented Senior AI Engineer to contribute to the design, development, and support of AI tools and platforms for developers across the company. This is a hands-on engineering role centered on GCP, Gemini, Vertex AI, Java Spring Boot, and React.js. The ideal candidate will have demonstrable experience building and integrating with AI tools and services to deliver reliable, secure, and maintainable solutions that accelerate software development. Key Responsibilities: Develop and maintain AI platforms, tools, and frameworks used by engineers across the company, including Claude Code, GitHub Copilot, MCP servers, plugins, skills, and agentic frameworks Implement AI platform services, orchestration patterns, reference implementations, and shared integration components Design and deliver tools that support the development of custom agents and workflows Integrate and operationalize AI tools and services with cloud, security, development, and enterprise technology platforms Build secure, scalable, reliable, observable, performant, and maintainable services for custom agents and AI tool integrations Provide technical support and guidance to development teams building, deploying, and operating custom agents and MCP servers Contribute to framework lifecycle practices, including versioning, release management, documentation, adoption, support, and continuous improvement Implement logging, metrics, token-utilization monitoring, tracing, and other operational capabilities for AI services running on GCP Apply enterprise security, privacy, responsible AI, access-control, governance, cost-management, and model-risk practices to AI solutions Collaborate with development teams, security, and architecture to define requirements and deliver platform capabilities Participate in code reviews, technical discussions, troubleshooting, and knowledge-sharing activities Mentor junior engineers on the team and on development teams, contributing to a culture of continuous improvement Primary Requirements: Bachelor's degree or equivalent work experience in computer science, engineering, artificial intelligence, or a related field 5-7+ years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline Proven experience delivering high-quality software solutions in production environments Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities Experience with cloud-based AI services platforms such as GCP/AWS Gemini, and Vertex AI or comparable model platforms Solid understanding of application architecture, integration patterns, APIs, and software design principles Experience developing Java REST APIs and services with Spring Boot and working knowledge of React.js or comparable front-end technologies Experience with secure API integrations and OAuth 2.0 / OpenID Connect authorization patterns Understanding of the software development lifecycle, CI/CD, observability, reliability, security, privacy, and responsible AI practices Strong problem-solving skills, attention to detail, technical communication, and ability to collaborate effectively across teams AI Platforms: GCP/AWS Cloud, Gemini, Vertex AI, model garden, model runtime, model gateway, and agent gateway AI Engineering: custom agent design, sequential workflows, multi-agent systems, deterministic graph-based agents, and reusable orchestration patterns Developer Tools: Claude Code, GitHub Copilot, custom instructions, prompts, skills, plugins, and extensions Agent Integration: MCP servers and clients, tools, resources, data-source integrations, A2A patterns, and agent-to-agent communication Frameworks: Google ADK, Spring AI, LangChain, LangChain4j, or comparable AI/LLM integration libraries Application Development: Java, Spring Boot, REST APIs, React.js, microservices, and cloud-native application patterns Security and Governance: OAuth 2.0, OpenID Connect, service accounts, delegated access, model governance, GCP Model Armor, privacy, responsible AI, and access control Operations: CI/CD, Harness, Azure DevOps, logging, metrics, tracing, token utilization, performance, reliability, and incident support Desired Skills: Hands-on experience using Claude Code and GitHub Copilot in an engineering workflow Designing or implementing custom AI agents, reusable orchestration patterns, shared integrations, or reference implementations Building sequential, multi-agent, or deterministic graph-based agent workflows Building or integrating MCP servers and clients to expose tools, resources, or data sources to AI agents Enabling agent-to-agent communication using A2A or comparable protocols Experience with Google ADK, Spring AI, LangChain, LangChain4j, or similar LLM integration libraries and SDKs Experience with Gemini Agent Platform / Vertex AI capabilities such as model garden, model runtime, model gateway, or agent gateway Implementing model governance controls such as GCP Model Armor, cost controls, token limits, rate limits, and access policies Implementing logging, metrics, distributed tracing, token-utilization monitoring, and operational dashboards for AI services on GCP Exposure to containerization, microservices, and cloud-native application architecture Experience working with CI/CD pipelines in Harness and Azure DevOps Familiarity with Agile/Scrum methodologies and development practices for shared platform capabilities Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Pay Range: $40.00hr - $45.00hr Job Overview: Seeking a Full Stack Java Developer who will be responsible for making an impact by designing, developing, and delivering scalable enterprise applications using Java, Spring Boot, and React.js technologies. The successful candidate will be a valued member of the application development team and work collaboratively with architects, product owners, business stakeholders, and distributed delivery teams to build high-quality digital solutions. Responsibilities: Design, develop, and maintain full-stack enterprise applications using Java, Spring Boot, React.js, and related technologies. Build, enhance, and integrate RESTful APIs and microservices that support business-critical applications. Perform hands-on coding, debugging, testing, code reviews, and application performance optimization. Provide technical guidance to offshore development teams by resolving technical challenges and supporting successful delivery. Analyze business requirements and translate them into scalable and maintainable technical solutions. Participate in Agile ceremonies and contribute to continuous improvement initiatives. Follow best practices for code quality, security, testing, and software development lifecycle processes. Contribute to AI chatbot and Retrieval-Augmented Generation (RAG) initiatives when applicable. Requirements: 8+ years of experience in full stack application development with strong hands-on expertise in Java, Spring Boot, React.js, and enterprise application development. Strong hands-on experience in Java application development using Spring Boot. Proven experience developing full-stack applications with React.js, Redux, JavaScript, HTML5, and CSS3. Experience designing, developing, and integrating RESTful APIs and microservices. Strong understanding of software development best practices, debugging, troubleshooting, and performance tuning. Experience with unit testing frameworks and code quality standards. Hands-on experience with Git, CI/CD pipelines, and DevOps practices. Experience working within Agile/Scrum delivery environments. Ability to analyze requirements, design technical solutions, and work independently. Strong communication and collaboration skills with onsite and offshore teams. Experience implementing AI Chatbots and Retrieval-Augmented Generation (RAG) solutions. Exposure to Generative AI technologies and Large Language Model (LLM) integrations. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of Docker, Kubernetes, and containerized application deployments. Experience mentoring developers and leading technical discussions. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Position: Network Engineer Company: NAPCO Security Technologies, Inc. Location: Amityville, NY Reports to: Vice President, IT Company: NAPCO Security Technologies, a worldwide leader in the design and manufacturing of reliable, innovative solutions for physical security, access control, locking, cellular communications, sub-GHz wireless communications, cloud-based systems and commercial fire protection for residential, commercial & institutional premises and campuses for over 50 years, headquartered in Amityville, Long Island NY, seeks a Mid-Senior Network Engineer to join our IT team in a hands-on, on-site role focused on strengthening and modernizing our network infrastructure. This position will play a key role in reconfiguring the internal network, organizing and securing VPN connectivity, and maintaining secure, well patched network infrastructure aligned with cybersecurity and compliance best practices, including SOX and the NIST Cybersecurity Framework (CSF). This is an execution focused role for an experienced engineer who enjoys working directly with network hardware, supporting all NAPCO infrastructure, improving stability and security, and partnering with internal teams and vendors. Responsibilities: Configure, maintain, and support enterprise network infrastructure, including: Fortinet firewalls Juniper switches Wireless networking (Wi-Fi / Access Points) Multi ISP WAN connectivity and failover configurations SD WAN solutions Support network equipment and connectivity across the NAPCO Landscape. Execute internal network improvements such as VLAN cleanup, routing optimization, segmentation, and resiliency enhancements. Implement and maintain Voice VLAN configurations and Quality of Service (QoS) policies to support reliable VoIP traffic and prioritize latency sensitive applications. Monitor network performance, availability, and capacity using vendor agnostic monitoring and alerting tools. Troubleshoot and resolve network issues impacting corporate users, operational systems, wireless networks, and voice traffic quality. Perform hardware and network device patching, firmware upgrades, and maintenance to ensure systems remain secure, supported, and reliable. Address network related vulnerabilities in coordination with security partners, IT leadership, and change management processes. Manage and optimize internet connectivity across multiple ISPs, including performance tuning, redundancy, and failover. Implement and maintain: Site to site VPNs Remote access VPNs Secure access for vendors, partners, and third parties Help standardize VPN access models aligned with least privilege and Zero Trust principles. Resolve connectivity and access issues for on site, remote, and operational users. Support network security controls aligned with the NIST Cybersecurity Framework (CSF). Participate in network related security incident triage, root cause analysis, and remediation. Support SOX relevant IT General Controls (ITGCs) by maintaining documentation and audit evidence. Ensure network configurations, standards, patches, and changes are properly documented to support audit readiness, operational continuity and reduced key person dependency. Support connectivity between on premises environments and cloud platforms (e.g., Azure or AWS). Assist with hybrid networking initiatives as the environment evolves under guidance from IT leadership. Provide hands-on, on-site support for network equipment across all NAPCO environments. Serve as an escalation point for MSPs and network service providers. Coordinate hardware lifecycle activities, including upgrades and end of support planning. Assist with change windows, maintenance activities, and scheduled upgrades. Participate in after-hours support or maintenance as needed. Requirements: 5-10 years of experience in network engineering or infrastructure roles. Preferred certifications include Fortinet Certified Professional (FCP) Network Security, Juniper JNCIA/JNCIS, Cisco CCNA or CCNP, CompTIA Security+ or CySA+, Microsoft Azure Network Engineer Associate, or equivalent networking and cybersecurity certifications. Hands on experience with: Fortinet firewalls Juniper switching environments VPNs and SD WAN technologies Wireless networking (enterprise Wi-Fi / access points) Voice VLANs and QoS for VoIP traffic Experience supporting corporate network environments. Strong understanding of routing, switching, VLANs, segmentation, and traffic prioritization (QoS). Experience managing multi ISP environments or WAN failover configurations. Experience performing network device patching and vulnerability remediation. Experience working in SOX regulated or compliance driven environments. Strong documentation and change management practices. Experience supporting hybrid or cloud connected network environments. Familiarity with the NIST Cybersecurity Framework. Fortinet NSE, Juniper (JNCIA/JNCIS), CCNA/CCNP, or equivalent certifications. Experience in manufacturing, multi-site, or operational environments. Compensation and Benefits: We offer an attractive employment package including a competitive salary, 401(k), paid vacation, personal time off, paid holidays, long-term disability insurance, tuition reimbursement, medical insurance, dental insurance, life insurance, and excellent growth potential.

BCforward is seeking a Snowflake Platform Engineer for a fully on-site role in Wilmington, DE. In this role, you will design, build, and maintain scalable cloud-native data platforms, migration pipelines, and data lake architectures using AWS and Snowflake. Top requirements for the position include 5-6 years of software development and data engineering experience, extensive expertise in Snowflake performance tuning and data modeling, and strong proficiency in Python and AWS data lake services. All candidates must be eligible to work in the U.S. for any employer without sponsorship now or in the future. Pay and Contract Duration Pay Rate: $65/hr to $70/hr on W2 Engagement: 6-month contract with opportunity for conversion to a permanent role

Pay Range: $55.00hr - $60.00hr Job Overview: Our client is seeking a Salesforce Technical Product Owner (TPO) to drive product vision, strategy, and execution for Salesforce-based business solutions. The ideal candidate will bridge business and technology teams, translate business needs into scalable Salesforce solutions, and prioritize product backlogs to maximize business value. Key Responsibilities: Define and communicate product vision, roadmap, and business objectives for Salesforce initiatives. Partner with business stakeholders to gather, analyze, and prioritize requirements. Manage and own the product backlog, user stories, acceptance criteria, and sprint priorities. Collaborate with Salesforce Architects, Developers, QA teams, and UX stakeholders to deliver solutions. Translate complex business requirements into technical specifications and actionable user stories. Drive Agile ceremonies, including backlog refinement, sprint planning, reviews, and retrospectives. Ensure Salesforce solutions align with business goals, user experience, scalability, and compliance requirements. Evaluate product performance using KPIs and user feedback to drive continuous improvement. Work closely with release management and change management teams for successful deployments. Act as the primary liaison between business users and the development team. Required Skills & Qualifications: Bachelor's degree in Engineering, Computer Science, Information Systems, or a related field. 8+ years of IT experience with 3+ years as a Product Owner or Product Manager in Salesforce ecosystems. Strong experience with Salesforce Sales Cloud, Service Cloud, Experience Cloud, or Revenue Cloud. Proven experience in Agile and Scrum delivery environments. Strong understanding of Salesforce platform capabilities, integrations, APIs, Flows, and Lightning Experience. Experience writing epics, user stories, and acceptance criteria, as well as managing product backlogs. Strong stakeholder management, communication, and analytical skills. Ability to balance business priorities with technical constraints. Preferred Qualifications: Salesforce certifications such as Salesforce Administrator, Sales Cloud Consultant, Service Cloud Consultant, or Platform App Builder. Certified Scrum Product Owner (CSPO) or SAFe Product Owner/Product Manager certification. Experience with Data Cloud, Agentforce, Einstein AI, CPQ, or MuleSoft. Exposure to enterprise integrations and digital transformation programs. Key Competencies: Product Strategy & Roadmap Management. Backlog Prioritization. Stakeholder Management. Salesforce Platform Expertise. Agile Product Ownership. Requirement Management. Data-Driven Decision Making. Business Process Transformation. Nice to Have: Experience in Telecom, Banking, Retail, or Healthcare domains. Knowledge of AI-driven Salesforce capabilities, Generative AI, and Agentforce. Experience managing global teams and large-scale Salesforce transformation programs. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $59.35hr - $77.03hr Job Overview: We are seeking an experienced Microsoft Purview Engineer to design, implement, configure, and operate enterprise data security, information protection, compliance, and data governance solutions using Microsoft Purview. The engineer will translate enterprise data protection and governance requirements into scalable technical solutions across Microsoft Fabric, Azure, cloud, endpoint, and enterprise data environments. The role partners with cybersecurity, data, cloud, Fabric, Microsoft 365, architecture, legal and compliance, application, and business teams to protect sensitive information while enabling secure data use, analytics, Microsoft Fabric, and enterprise AI adoption. Major Responsibilities: Design, configure, deploy, and support Microsoft Purview capabilities across enterprise environments. Engineer solutions for information protection, sensitivity labeling, Data Loss Prevention (DLP), data classification, and data security posture management. Configure sensitive information types, classifiers, labels, policies, and related data protection controls in Microsoft Fabric. Develop and maintain enterprise standards, configurations, operating procedures, and support documentation. Troubleshoot complex Purview configuration, policy, integration, and operational issues. Automate repeatable administration, monitoring, and engineering activities where appropriate. Design and implement DLP policies for Microsoft Fabric and other supported enterprise environments. Implement and maintain enterprise sensitivity labels and information-protection policies in Microsoft Fabric. Support Client and classification of sensitive information using Sensitive Information Types and classifiers. Analyze policy matches, exceptions, false positives, and business impact; tune controls to improve effectiveness. Collaborate with application owners, data owners, and data stewards to remediate identified data-protection risks. Implement and support Microsoft Purview Data Map and Unified Catalog capabilities. Configure scanning and metadata Client across supported enterprise data environments. Support data cataloging, business metadata, classification, lineage, data domains, and governance processes. Work with data owners and stewards to improve data discoverability, ownership, quality, and governance. Implement role-based access aligned with least-privilege principles. Engineer and support Purview capabilities that improve visibility into sensitive-data exposure and risk. Support Data Security Posture Management and collaborate with security teams on remediation. Support Insider Risk Management, Audit, and data-security investigation requirements where applicable. Develop monitoring and reporting for policy coverage, data exposure, control effectiveness, and remediation status. Partner with cybersecurity teams during investigations involving sensitive enterprise information. Configure and support Client, Audit, Data Lifecycle Management, Records Management, and Compliance Manager based on organizational requirements. Partner with Legal, Cybersecurity, Privacy, Records Management, and Compliance teams to translate requirements into technical configurations. Support retention, records, and information lifecycle requirements. Produce technical documentation and evidence for governance, audit, and compliance processes. Support secure enterprise adoption of AI applications and AI agents through appropriate Purview data-security controls. Identify sensitive-data exposure and oversharing risks associated with enterprise AI use. Work with AI, cybersecurity, identity, application, and data teams to establish reusable data-protection patterns for AI solutions. Evaluate evolving Purview capabilities applicable to AI data security and incorporate approved capabilities into enterprise architecture. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Data Engineering, or a related discipline, or equivalent relevant experience with 6+ years of relevant experience. Strong hands-on experience with Microsoft Purview, Microsoft Fabric, Microsoft 365 security and compliance technologies, data governance, or enterprise data security. Demonstrated Azure + Purview + Fabric/OneLake experience. Advanced hands-on expertise implementing Microsoft Purview solutions in large enterprise environments. Ability to independently design complex Purview solutions and translate security, governance, and compliance requirements into technical architectures. Experience with Microsoft Fabric, OneLake, Azure Data Lake, Azure SQL, and related enterprise data platforms. Experience implementing or supporting Information Protection, sensitivity labels, DLP, data classification, retention, or related capabilities. Strong understanding of Microsoft Azure, Microsoft Fabric, and Microsoft 365. Ability to lead technical initiatives, solution designs, implementation patterns, and production deployments. Ability to mentor engineers and establish engineering standards and implementation practices. Ability to evaluate emerging Purview capabilities and recommend enterprise adoption approaches. Experience troubleshooting complex enterprise security or data-governance configurations. Understanding of data governance, privacy, security, and information lifecycle concepts. Strong analytical, documentation, communication, and stakeholder-management skills. Ability to lead complex technical workstreams and coordinate delivery with multiple application and platform teams. Demonstrated technical leadership across multidisciplinary teams. Preferred Qualifications: Microsoft Purview implementation experience in a large global enterprise. Experience with Microsoft Entra ID and Azure security. Experience with PowerShell, APIs, scripting, and configuration automation. Experience with enterprise data catalogs, metadata management, lineage, and governance. Experience with DLP, sensitivity labels, retention policies, eDiscovery, Insider Risk Management, and Data Security Posture Management. Knowledge of cybersecurity frameworks and regulatory or compliance requirements relevant to large enterprises. Experience securing data used by generative AI, Microsoft 365 Copilot, retrieval-augmented generation applications, or enterprise AI agents. Relevant Microsoft security, compliance, Azure, or data certifications. Preferred Certifications: Microsoft Certified: Fabric Analytics Engineer Associate. Microsoft Certified: Information Security Administrator Associate. Microsoft Azure certification. CISSP, CCSP, or CISM. Key Competencies: Microsoft Fabric. Data Security & Information Protection. Data Loss Prevention. Data Governance & Catalog. Sensitivity Labeling & Classification. Data Security Posture Management. Microsoft 365 Security & Compliance. Azure Data & Cloud Security. eDiscovery & Information Lifecycle. AI & Copilot Data Security. Automation & Engineering. Technical Leadership. Cross-functional Collaboration. Microsoft Purview Engineering. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Title: Software Engineering - Java J2EE Location: Columbus, OH - Full-time in-office schedule, 8:30 AM to 4:30 PM. On-call rotation every 8 weeks from 9:00 AM to 9:00 PM. Occasional evening production deployment support. Duration: Contract - 6 months Pay Range: $50/hr - $52/hr (W2) Interview process: One panel round with live coding, preferred in person. About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Software Engineer with Java, Spring Boot, Microservices, Kafka, and AWS expertise to join our dynamic team. The ideal candidate will have strong experience in building secure, scalable services and event-driven systems and a proven ability to deliver high-quality production code, troubleshoot complex issues, and improve system resiliency. Responsibilities: Execute software solutions across design, development, and technical troubleshooting while thinking beyond conventional approaches to solve problems. Create secure, high-quality production code and maintain algorithms that run synchronously with integrated systems. Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, validating outputs with peer review, automated testing, and secure coding standards, and share reusable patterns with the team. Apply SDLC toolchain knowledge, including AI-assisted development and automation capabilities, to increase value from automation. Produce architecture and design artifacts for complex applications and ensure software meets design constraints. Gather, analyze, and synthesize data to develop visualizations and reporting that drive continuous improvement of applications and systems. Proactively identify hidden problems and patterns to improve coding hygiene and system architecture. Required Skills & Qualifications: 5+ years of hands-on software engineering experience with formal training or certification in software engineering concepts. Proficiency in Core Java, Spring Boot, Microservices, Kafka, and AWS. Practical experience in system design, application development, testing, and operational stability in large corporate environments. Experience with database querying languages and modern programming languages in production settings. Hands-on use of enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, and documentation, with ability to validate outputs for correctness, performance, and security. Understanding of responsible AI practices, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations, with ability to guide peers. Solid knowledge of the Software Development Life Cycle, Agile methodologies, CI/CD, application resiliency, and security. Experience using AI coding assistants such as GitHub Copilot, Cursor, or Claude to accelerate development and coach teams on adoption. Preferred Skills: Experience creating scalable microservices with Java, Spring Boot, and Kafka within financial services, using CI/CD toolsets such as GIT, Maven, Jenkins, SonarQube, Junit, and Mockito. Experience with AWS services including ECS, VPC, S3, IAM, Lambda, Aurora Postgres, Route53, ELB, and API Gateway, plus Terraform for Infrastructure as Code and cloud-native practices. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Pay Range: $46.00hr - $51.00hr Job Overview: An L3 GCP Network Engineer is a senior engineer responsible for designing, implementing, and optimizing complex network architectures on GCP, and acting as the final escalation point for critical issues. Key Responsibilities: Design and architect secure, highly available, and scalable GCP network topologies including multi-VPC, hub-and-spoke, Shared VPC, hybrid, and multi-cloud connectivity. Lead implementation of advanced networking including Cloud Interconnect, Cloud VPN topologies, global and regional load balancing, Cloud Armor policies, Private Service Connect, VPC peering, and custom route designs. Own end-to-end network security posture in GCP in partnership with security teams, covering firewall strategies, segmentation, zero-trust patterns, DDoS protection, perimeter, and egress controls. Serve as L3 escalation for complex production incidents, performing deep packet, routing, and performance analysis, while driving root cause analysis and long-term fixes. Define standards, patterns, and best practices for GCP network designs, address planning, naming, tagging, and connectivity models. Drive automation and Infrastructure as Code for networking using Terraform, Deployment Manager, CI/CD for network changes, and policy-as-code. Mentor L1/L2 engineers, review designs and changes, and provide training on GCP networking. Work with architects and stakeholders to align network designs with business, security, and compliance requirements, such as data residency and regulatory constraints. Evaluate new GCP networking features and third-party solutions, build Proofs of Concept (PoCs), and create adoption roadmaps. Typical Requirements: 5 8+ years of network engineering with strong experience across routing, switching, firewalls, and large-scale networks, along with substantial hands-on GCP networking. Deep knowledge of routing protocols and enterprise networking concepts, including BGP, OSPF/IGP, VRFs, MPLS or SD-WAN concepts, VPN, QoS, and high availability. Proven experience designing and operating production GCP networks or equivalent cloud systems at scale, including hybrid connectivity and multi-region architectures. Strong experience with automation and Infrastructure as Code (IaC) tools such as Terraform, Ansible, and pipelines for network deployments. Certifications strongly preferred: Google Professional Cloud Network Engineer, Professional Cloud Architect, CCNP/CCIE, or equivalent senior networking credentials. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.