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Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients. Specific responsibilities for the Lead Machine Learning Engineer position include: • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs, • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs., • Deconstructing client needs into data-driven processes/models and analytical measures., • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP)., • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring)., • Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements., • Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers. Qualifications • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms, • Bachelor's degree or equivalent combination of education and experience., • Experience providing technical leadership and mentoring other engineers in data engineering space, • Hands-on experience manipulating and analyzing large (multi-billion record) data sets., • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages., • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting., • Proficiency with containerization (e.g., Docker) and microservices., • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS, • Comfort and proficiency in framing data-driven problems from cross-industry business requirements., • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels), • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision)., • Knowledge of DevOps and automation best practices., • Knowledge of statistics and statistical modeling methods., • Knowledge of model management and model versioning best practices., • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting, • Experience with prompt engineering, MCP and RAG, and agentic AI architectures, • Strong understanding of conversational UX and prompt evaluation metrics, • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.), • Experience with multi-agent orchestration Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionCompany Description Cypress Global Services (CGS) is a growing Information Technology (IT) Services firm based in North Houston, TX. Specializing in IT Consulting and Staffing Solutions, CGS provides our clients with industry-leading IT Specialists nationwide for all types of placements, i.e. Temp, Contract, and Full-time. Job Description Job Description • .NET Core framework for CRUD operations, • Develop web applications using Microsoft .NET and C#, • Using interface-based programming to provide services via Dependency Injection., • Work on Microservices Architecture for modules, • Work on Stored procedures, SQL Queries, optimization in SQL Server 2019Qualifications Minimum Skills: • .Net, • C#, • API, MVC Framework, • Web Front End (Angular/React), • Azure, • SQL SERVER, • Python Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Location: Charlotte, NC OR Raleigh, NC (onsite 5 days a week) We are seeking a Full Stack Engineer to develop and shape critical systems in Emerging Digital Organization. Skills Needed: • 5+ years of Python development experience, • 3+ years with FastAPI, Django, or similar async Python frameworks, • 5+ years of Angular , Typescript, • 3+ years of Terraform experience managing Prod Infra, • Experience with AWS services – Lambda, API Gateway, RDS, DynamoDB, VPC, • Expertise in relational databases (PostgreSQL) and JSONB queries Technical Stack Preferences · Experience with LLM integration (prompt engineering, token optimization, error handling) · NestJS or other enterprise Node.js frameworks · Cypress for testing · Azure AD/MSAL authentication · AppSync and WebSocket communication patterns · CI/CD pipeline design and GitHub Actions · Mentoring developers through full-stack transitions · Performance profiling and optimization across frontend and backend layers Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job Description Through NRI Resource Management Services (RMS), we offer custom talent solutions to help our clients meet their evolving technology and business needs. We help effectively match the right technology professional to their organization, recruiting for contract, contract-to-hire, and direct roles. Our client in Charlotte, NC has an immediate need for a Sr. Data Engineer. Please note that this is a contract to hire opportunity with our client and NOT with NRI. Job Description: Senior Data Engineer The Senior Data Engineer / Data Platform Engineer will take ownership of the architecture, infrastructure, and operational maturity of our data environment. This role is ideal for someone who thrives in a Medallion Architecture based Python DLT/ DBT environment hosted in Azure, enjoys maturing foundational systems, and is comfortable operating at the intersection of engineering, operations, and business stakeholders. The candidate must have exceptional communication skills, with ability to interact with key business stakeholders in delivering critical reporting & other data insights. Key Responsibilities Data Architecture & Platform Ownership • Own the end-to-end architecture and infrastructure of the Azure-based data platform, • Design and implement a modern Lakehouse architecture to support analytics and reporting, • Establish best practices for data engineering, reliability, and operational excellence Data Ingestion & Pipelines • Design, build, and maintain API-driven and batch data pipelines, • Ingest data from multiple source systems across acquired entities, • Orchestrate workflows using Dagster, • Ensure pipelines are scalable, resilient, and well-monitored Data Transformation & Analytics Enablement • Transform raw, disparate data into clean, trusted, analytics-ready datasets, • Model data for consumption in Power BI (PBI), • Partner with finance and business teams to align data structures with reporting needs Operations & Troubleshooting • Own data platform operations, including monitoring, alerting, and incident response, • Troubleshoot complex data and pipeline issues across ingestion, transformation, and reporting layers, • Continuously improve performance, reliability, and cost efficiency Stakeholder Collaboration • Work closely with the CFO and other senior stakeholders to understand reporting and analytics requirements, • Translate business needs into technical solutions, • Act as a trusted data engineering partner across the organization Qualifications and Skills Education and Experience • Bachelor's degree in information systems, informatics, data science or a related field, • 5+ years of experience in data engineering, data platform engineering, or data operations, • Certifications including Microsoft Azure Data Engineer Associate, Databricks Certified Data Engineer, Python Institute Certifications (PCAP, PCPP) or DataCamp Certifications are highly desirable Technical Knowledge • Strong experience in Microsoft Azure data services (greenfield experience strongly preferred), • Hands-on expertise with:, • Python (including DLT and DBT), • Azure Data Bricks, • APIs, data pipelines, and ingestion frameworks, • Workflow orchestration (Dagster or similar tools) · Experience using GitHub or similar version control tools Leadership and Communication • Collaborate with the CFO and other senior stakeholders to understand reporting and analytics requirements, then accurately translate business needs into technical solutions, • Act as a trusted data engineering partner across the organization, • Communicate health and status of environment to leadership regularly Problem-Solving and Decision-Making • Excellent troubleshooting and problem-solving skills across data pipelines and platforms Key Performance Indicators To measure the success the Senior Data Engineer is responsible for the following KPIs: • Cloud and PaaS resource utilization in Data Environment, • Compliance with IT Data Security and IT general controls, • Time to fix pipeline failures and data environment defects and outages, • Increase usage of published PowerBI Reports

Job Description SCADA Engineer We are seeking a skilled SCADA Engineer to join our SCADA team and play a key role in the design, development, and deployment of modern SCADA and BMS solutions. This role is suited for an experienced engineer who can work independently on complex tasks while collaborating closely with project managers, designers, and customers to deliver reliable, scalable systems. You will take ownership of core SCADA functionality, contribute to technical standards, and support projects through design, commissioning, and long-term support. What You Will Do • Design and configure Ignition Perspective views using established standards and reusable components, • Develop and maintain UDTs, tag structures, and tag providers for PLCs, field devices, and enterprise integrations, • Configure and manage alarms, trends, historian tags, and reports to meet project and customer requirements, • Perform commissioning, FAT/SAT, and provide onsite or remote support for SCADA and BMS deployments, • Troubleshoot PLC, HMI/SCADA, and industrial network issues with minimal supervision, • Collaborate with project leads, designers, and stakeholders to deliver complete end-to-end SCADA solutions, • Create and maintain technical and project documentation throughout the project lifecycle, • Participate in code reviews and contribute to the improvement of internal standards, templates, and best practices Qualifications Experience • 2–4 years of experience in one or more of the following areas:, • PLC and HMI/SCADA programming (Ignition preferred), • HVAC or building automation controls and BMS integration, • Industrial networking and industrial protocols, • Low-voltage control panel wiring and field device commissioning, • Front-end development for operator interfaces, • Bachelor’s degree Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics, Industrial Engineering or equivalent experience, • Ignition Core Certified required This job description is intended to provide information regarding the essential functions and basic duties of this position. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and duties that could be assigned. Additional functions and requirements may be assigned by management as it deems appropriate. This document does not constitute a contract and is subject to change at the discretion of Hoffman Building Technologies. EOE / Vets / Disabled

Job DescriptionSalary: Interested in helping us transform thermal and electric energy? Become a part of the leading Generation-IV nuclear plant development team. Come join us at Terrestrial Energy, a US developer of advanced, Generation IV nuclear reactors. We are growing our workforce to develop and deploy our Integral Molten Salt Reactor (IMSR) small modular nuclear plant to provide cost-competitive, clean firm heat and power to industry. The Company has recently completed a merger creating a publicly listed operating company (NASDAQ IMSR), to secure the capital resources for our next growth phase. With the current alignment of US Federal and State government, as well as industry interest in Small Modular Reactor (SMR) and advanced reactor technologies such as Terrestrial Energys IMSR, there is today a unique and compelling opportunity to participate in the execution of the companys growth business plan. The Company is building a team of high-performing business professionals and leaders in engineering, R&D, product management and business development areas at our Charlotte, North Carolina headquarters and future project sites. We are looking for talented individuals who can help build the organization, processes, and goal-orientated corporate culture to lead the company in our expansion. We are seeking people who: • Have US market experience and perspectives bringing good judgement and innovative approaches to problem solving and business plan execution., • Have demonstrated exceptional performance in past engineering projects., • Offer exceptional leadership and team building capabilities., • Have a deep understanding of the requirements for advanced reactor development., • Can assist in the creation of the discipline and organized company structure, and contributed to a culture of excellence, necessary for the development and deployment of the Companys IMSR plant., • Can thrive in a fast growing and opportunity business environment, and are capable of flexibility and adaptability at a time of organizational change., • Have the specific skillset and experience for the following role: The Safety Manager, under the direction of the Engineering Director, is primarily responsible for leading and building our safety analysis team, establishing and growing a world-class safety analysis organization while managing all aspects of safety analysis and supporting regulatory compliance and licensing activities for the development and deployment of our IMSR technology. The successful candidate will recruit, develop, and lead a team of safety engineers and analysts, collaborate closely with the design and licensing teams, and ensure the safety case for our advanced reactor design meets all regulatory requirements and demonstrates the inherent safety features of our technology. Other responsibilities include: Leadership and Team Management • Lead, mentor, and develop a team of Safety Analysis Engineers, Safety Analysts, and Specialists, • Establish team priorities, allocate resources, and manage workload across multiple projects, • Conduct performance evaluations and support professional development of team members, • Foster a culture of technical excellence, safety consciousness, and continuous improvement, • Recruit and build a high-performing safety analysis team, • Establish and maintain safety analysis standards, procedures, and best practices, • Oversee deterministic and probabilistic safety analyses for the IMSR design, • Direct the development and analysis of Design Basis Accidents (DBAs) and Beyond Design Basis Accidents (BDBAs), • Ensure comprehensive transient and accident analyses using thermal-hydraulic and neutronics codes, • Oversee evaluation of plant response to postulated initiating events, • Manage assessment of safety systems and engineered safety features performance, • Direct dose consequence and radiological release scenario analyses, • Oversee sensitivity and uncertainty analyses programs, • Prepare safety analysis chapters for licensing documentation including Preliminary Safety Analysis Report (PSAR) and Final Safety Analysis Report (FSAR) for NRC/CNSC licensing, • Oversee development of DOE-required safety analyses including Preliminary Documented Safety Analysis (PDSA) and Documented Safety Analysis (DSA) in accordance with DOE-STD-3009, • Direct development of key safety decisions including target performance of structures, systems, and components (SSCs), safety system responses to normal and off-normal operations, and facility security considerations, • Establish classification rules and terminology for safety SSCs, including application of the hierarchy of controls and Defense in Depth principles to ensure safety, • Oversee analysis of most limiting potential dose consequences (e.g., unmitigated or Maximum Hypothetical Accident scenarios) to support Natural Phenomena Hazard (NPH) Design Category (NDC) categorization, • Ensure validity assessment of selected safety document format and content, applicability of SSC classifications, and other graded approaches, • Lead regulatory review processes and coordinate responses to technical questions from regulatory bodies (CNSC, NRC, DOE), • Ensure all analyses comply with applicable regulatory requirements and guidance, • Represent the company in regulatory meetings and technical discussions, • Oversee development of technical specifications and operational limits, • Develop long-term safety analysis strategy aligned with company licensing and deployment goals, • Collaborate closely with licensing team to support regulatory submissions and licensing strategy, • Identify and implement improvements to safety analysis methods and tools, • Present safety analysis results and strategies to senior leadership and board of directors, • Interface with Engineering Director and executive team on safety-related decisions, • Coordinate with other engineering managers to ensure integrated safety approach, • Support business development activities with safety analysis expertise, • Develop and validate computer models for safety analysis using industry-standard codes, • Build thermal-hydraulic models of reactor systems and components, • Perform single and coupled physics simulations, • Validate models against experimental data and benchmarks, • Prepare detailed technical reports documenting analysis methodologies, assumptions, and results, • Create clear visualizations and presentations of analysis results, • Maintain comprehensive documentation of safety analysis activities, • Contribute to technical publications and conference papers, • Work closely with Physics, Thermal-Hydraulics, Systems Engineering, and Design Teams, • Interface with external partners including national laboratories and consultants, • Participate in design reviews and technical meetings, • Support integrated safety assessments across multiple disciplines, • Ensure comprehensive documentation of safety analysis methodologies, assumptions, and results, • Maintain quality assurance program for safety analysis activities, • Oversee configuration management of safety analysis models and tools, • Ensure compliance with nuclear quality assurance requirements (CSA N286.7, 10 CFR 50 Appendix B, NQA-1, DOE O 414.1D), • Manage internal and external technical reviews of safety analysis work Requirements Education • M.Sc. or Ph.D. in Nuclear Engineering, Mechanical Engineering, Chemical Engineering, or related field;, • Minimum 8 years of experience in nuclear safety analysis, • Minimum 3 years of leadership or management experience, preferably managing technical teams, • Demonstrated experience leading safety analysis programs for nuclear facilities, • Experience with regulatory licensing processes (NRC, CNSC, or DOE), • Proven track record of successful regulatory interactions and licensing document preparation, • Proficiency with thermal-hydraulic analysis codes (Flownex, REPLAP5, or similar), • Knowledge of neutronics codes (MCNP, SCALE, Serpent, or similar), • Understanding of severe accident phenomena and analysis methods, • Familiarity with probabilistic risk assessment (PRA) concepts, • Strong analytical and problem-solving skills, • Proficiency with technical computing tools (MATLAB, Python, or similar), • Excellent technical writing and documentation skills, • Strong attention to detail and commitment to quality, • Ability to work independently and as part of a team, • Effective communication skills for technical and non-technical audiences, • Project management and time management capabilities, • Critical thinking and ability to defend technical positions Assets • Experience with advanced reactor designs or Generation IV systems, • Familiarity with molten salt reactor technology and safety characteristics, • Experience with US NRC, US DOE, or Canadian CNSC licensing processes, • Knowledge of relevant regulatory guides and industry standards (NUREG, CSA, IAEA, DOE STD-1189, DOE-STD-3009, 10 CFR 830), • Experience with severe accident analysis codes, • Background in probabilistic risk assessment (PRA) or probabilistic safety assessment (PSA), • Experience with uncertainty quantification methods, • Knowledge of source term analysis and radiological consequence modeling, • Knowledge of international nuclear safety standards (IAEA, WENRA), • Experience with digital instrumentation and control safety analysis, • Previous experience in consulting or vendor roles supporting multiple nuclear projects, • Publications in peer-reviewed journals or conference proceedings, • Active participation in industry standards development (ANS, ASME, CSA) Benefits • Extended Healthcare Plan (Medical, Disability, Dental & Vision), + an additional Health Spending Account, • A vacation policy designed to support your work-life balance, • EAP Programs available to you and your family, • Wellness Subsidy, • Annual Performance Review, • Paid United Way Volunteer Days A chance to give back! Please submit a Resume andCover Letter. Candidates must be legally authorized to work in the US without the need for sponsorship for employment visa status. Terrestrial Energy requires that the successful candidate be able to access and use information subject to U.S. Export Control Laws, which mandate all citizenships (including dual citizenships) be from the U.S. Department of Energys List of Generally Authorized Countries (10 CFR Part 810 Appendix A and can be found here: ) unless a specific authorization from the U.S. Department of Energy is obtained or unless you are a U.S. citizen, U.S. national, U.S. permanent resident, or protected individual under the U.S. Immigration and Naturalization Act (8 U.S.C. 1324b(a)(3)). Additional information can be found here: . Terrestrial Energy Inc. is an equal opportunity employer and does not discriminate on the basis of any legally protected status or group. We encourage applications from all qualified individuals. If you require accommodation during the application or interview process, please advise us as soon as possible so appropriate arrangements can be made. If you require technical support in a format that is accessible to you, please contact

Job Description AI Developer / Agentic AI Engineer Role Summary We are building an agentic AI platform to transform commercial banking customer service. The AI developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows through secure tool/API integrations – with enterprise-grade controls, observability, and human-in-the-loop patterns. This role sits within a cross-functional team with Product, Operations, Technology, and Risk partners and focuses on delivering production-ready agentic AI capabilities for regulated financial services Responsibilities Agentic AI Solution Development • Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails)., • Implement intent classification information extraction validation and decision logic for servicing workflows, • Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management), • Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance, • Build knowledge ingestion pipelines with refresh/versioning, • Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring., • Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps., • Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates)., • Support CI/CD for agent prompts and configurations (versioning, approvals, rollback)., • 4+ years of software engineering experience or equivalent with strong CS fundamentals, • Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling)., • Strong proficiency in Python and building back-end services/APIs., • Experience with at least one: LangChain / LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks., • Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, pgvector), • Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices, • Experience in financial services or other regulated domains (risk controls, compliance audit readiness), • Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA), • Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing), • Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing, • Exposure to MRM concerns and governance (model cards, risk assessments, validation processes) Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job Description Capgemini is at the forefront of innovation, integrating AI technologies to enhance customer experience and streamline operations. We are seeking an experienced and innovative Verint AI Software Engineer to join our team supporting a premier U.S. Property & Casualty insurance carrier. This role is ideal for a technologist with deep expertise in Verint AI and a strong understanding of enterprise voice ecosystems, including CISCO, Google Cloud, and NICE. You will be instrumental in designing, developing, and optimizing AI-driven solutions that enhance customer experience, operational efficiency, and digital engagement. In this role, you will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that leverage Verint AI technology to address complex business challenges. Our Client is one of the United States’ largest insurers, offering a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world. This role offers a unique opportunity to work on innovative AI initiatives with a leading U.S. insurance carrier, within a collaborative environment that fosters innovation, creativity, and continuous learning. You'll gain exposure to enterprise-scale projects and advanced technologies, while enjoying a comprehensive benefits package that includes health coverage, retirement plans, and professional development support. Key Responsibilities: • Design, develop, test, and implement AI-based applications using Verint technology, including IVA and Speech Analytics., • Collaborate with business stakeholders to understand requirements and translate them into scalable technical specifications., • Analyze structured and unstructured data to develop AI algorithms that support intelligent decision-making and customer interaction., • Integrate Verint AI solutions with enterprise platforms such as CISCO telephony, Google Cloud services, and NICE workforce management systems., • Debug and improve existing Verint implementations for performance, scalability, and user experience., • Stay current with trends in AI, voice engineering, and social engineering to recommend innovative approaches and technologies., • Provide technical guidance and mentorship to junior developers, fostering a collaborative and growth-oriented environment., • Document technical specifications, architecture designs, and system integration processes. Benefits: • Opportunity to work on cutting-edge AI initiatives., • Collaborative work environment that promotes innovation and creativity., • Proven experience in software development with a strong focus on AI technologies and methodologies., • Direct experience with Verint solutions and platforms., • Demonstrated experience with Verint AI., • Deep familiarity with voice engineering technology ecosystems that include Verint, Google, CISCO, NICE and other similar technologies., • Strong programming skills in languages such as Python, Java, or C#., • Solid understanding of social engineering techniques and digital behavior analysis., • Ability to work effectively in a collaborative team environment., • Excellent problem-solving and analytical skills., • Effective communication skills, both verbal and written. Competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • Performance Bonus Note: Benefits differ based on employee level. About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22 billion in revenues in 2024.

Job Description Full Stack Developer: We are unable to sponsor or take over sponsorship of an employment visa at this time Job Description – Full Stack Developer Overview We are looking for a Full Stack Developer to join the Innovation team. In this role, you will design, develop, and maintain end-to-end web applications and services—from intuitive front-end interfaces to robust back-end APIs and data layers. You will work in a fast-paced, innovation-focused environment where experimentation, rapid prototyping, and continuous learning are the norm. Key Responsibilities • Design and develop responsive, accessible front-end applications using modern JavaScript/TypeScript frameworks (e.g., React, Angular)., • Build and maintain scalable back-end services and RESTful/GraphQL APIs (e.g., Node.js, Python) using cloud-native solutions such as AWS., • Integrate applications with databases (SQL and NoSQL), messaging systems, and third-party services., • Collaborate with other developers in an Agile/Scrum environment., • Implement CI/CD pipelines, automated testing, and infrastructure-as-code practices., • Ensure high code quality through peer reviews, unit and integration testing, and adherence to security best practices. Required Qualifications • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)., • 5+ years of professional experience in full stack software development., • Proficiency in HTML5, CSS3, JavaScript/TypeScript, and at least one modern SPA framework (React or Angular)., • Strong experience with server-side languages and frameworks such as Node.js and Python/FastAPI., • Strong knowledge of relational databases (PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cosmos DB)., • Hands-on experience with at least one major cloud platform, preferably AWS., • Familiarity with Git and CI/CD tools such as GitHub Actions. Preferred / Nice-to-Have • Knowledge of event-driven architectures and messaging (Kafka)., • Experience with serverless computing (AWS Lambda)., • Understanding of UX/UI design principles., • Contributions to open-source projects or an active technical community presence. Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer – Cloud position include: • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly, • Utilizing your skills in engineering best practices to solve complex data problems, • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization., • Articulating architectural differences between solution methods and the advantages/disadvantages of each Qualifications Typical experience for successful candidates includes: • Experience delivering solutions on a major cloud platform, • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture, • Experience in the design and implementation of data architecture solutions, • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines, • Ability to assess and utilize traditional and modern architectural components required based on business needs. Successful candidates usually have demonstrable experience with technologies in some of these categories: • Languages: SQL, Python, Java, R, C# / C++ / C, • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle, • DevOps: git, docker, subversion, Kubernetes, Jenkins, • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR, • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description We’re looking for an experienced Data Engineer to help design, build, and optimize modern data pipelines that power analytics, BI, and machine learning across NEP Group. In this role, you’ll develop scalable ETL/ELT workflows feeding Snowflake and Databricks, collaborate closely with BI and ML teams, and continuously improve our data platform to support a growing global organization. If you enjoy working with large datasets, modern cloud tools, and solving complex data challenges, this is a chance to make a real impact. Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote candidates in Eastern or Central time zones. What You’ll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion pipelines using dbt, Databricks, and Fivetran * Optimize queries, data partitioning strategies, and schema design for performance and cost * Partner with BI and ML teams to support analytics and advanced data use cases * Identify opportunities to improve data infrastructure and implement best-practice solutions * Troubleshoot data issues and provide technical guidance and support * Contribute to ongoing improvements in reliability, scalability, and data quality What You’ll Need: * 5+ years of experience in data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and automating ETL/ELT pipelines and working with data warehouses * Solid understanding of data modeling, schema design, and performance optimization * Experience with cloud-based data platforms such as Databricks and modern storage solutions (e.g., Delta Lake) * Familiarity with CI/CD, data versioning, and best practices for scalable data infrastructure * Knowledge of data governance, data quality, and lineage concepts * Understanding of cloud cost optimization, security, and access control best practices Benefits • Medical, Dental, and Vision coverage, • Vacation Days, • Sick Days, • 401(k), • Discount Programs, • Life Insurance, • Disability Insurance, • Employee Assistance Program, • Flexible Spending Account You might not know our name, but you’ve probably seen our work – on stage, on screen or on the field. Our technology solutions and unique Global Production Ecosystem empower content creators and rights holders to tell their stories in breakthrough ways. We’ve supported some of the world’s most watched productions and live events in sports, entertainment, concerts, festivals, film, TV and more. For 40 years our clients have trusted us to deliver live production, live events, and virtual production solutions for them, anytime, anywhere. Put simply, we bring content to life. Check us out at

Job DescriptionSWJ Technologie specializes in providing engineering, planning, and project management services across various industries. We are currently seeking a Senior HIL Engineer – Team Lead for an assigned project with a client in the automotive industry. The role is based in Novi, MI or Charlotte NC and requires onsite presence and 20% domestics travel. If you are eager to grow your career and make a meaningful impact on exciting projects, we look forward to your application. PURPOSE: This role owns the end-to-end HIL validation strategy for drive system and range extender functions. It leads roadmap, architecture, process quality, and team mentorship, ensuring coverage, traceability, and release confidence for function owners and calibration teams. RESPONSIBILITIES: • Define the HIL strategy and test architecture across Front Zone (drive) and Scout Hub (range extender), ensuring coverage for normal, edge, and fault cases., • Own HIL plant model strategy (motor/inverter, driveline, battery interface, generator/ICE surrogate, thermal interactions) and signal/messaging fidelity (CAN/LIN/FlexRay, Ethernet, UDS, ASAM XCP)., • Prioritize and plan test scope per release/milestone; align with systems, controls, calibration, and safety teams (ASIL decomposition, FMEA/FMEDA tie-ins where applicable)., • Lead test automation framework design (e.g., Python, CAPL, .NET, Jenkins/GitHub Actions) and CI/CD integration for regression., • Establish KPIs (test pass rate, coverage, defect leakage, time-to-root-cause, rig uptime, flake rate) and drive continuous improvement., • Own supplier/lab interface, hardware roadmap (I/O expansion, load boxes, fault insertion, dyno coupling where applicable), and configuration management., • Coach/mentor the five mid-level engineers; conduct design reviews and ensure coding/test standards are met.QUALIFICATIONS:, • Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Automotive Engineering, Computer Science, or a related technical field, • 8–12+ years in HIL/SIL validation for EV/HEV powertrain/drive systems (incl. range extender or auxiliary generation preferred)., • Hands-on with HILs, control desk/automation desk, Vector CANape/CANoe, ASAM A2L/MDF, UDS diagnostics, restbus simulation., • Strong in MATLAB/Simulink, model integration, version control (Git), Python automation; familiarity with safety (ISO 26262) and cybersecurity touchpoints., • 8–12+ years of experience in HIL/SIL validation for EV/HEV powertrain or drive systems, • Strong hands-on experience with HIL test systems and real-time simulation environments, • Deep knowledge of automotive communication protocols (CAN, LIN, FlexRay, Ethernet, UDS), • Proficiency in MATLAB/Simulink for model development and integration, • Strong programming and automation skills (Python, CAPL, or .NET), • Experience with test automation frameworks and CI/CD pipelines (e.g., Jenkins, GitHub Actions), • Strong experience with diagnostic and calibration tools (e.g., Vector CANoe/CANape, ASAM XCP/A2L/MDF), • Understanding of functional safety principles (ISO 26262, FMEA/FMEDA), • Experience in HIL plant modeling (powertrain, motor/inverter, battery, generator/ICE surrogate), • Strong skills in test planning, execution, and requirements traceability, • Experience with Volkswagen, • Work is normally performed in an office, laboratory, manufacturing floor, or machine shop setting where physical work includes, but is not limited to sitting, standing, reaching, kneeling, bending, and lifting up to 25 lbs., • Location: Novi, MI or Charlotte NC, • Schedule: Full Time/ 40 hours per week, • Travel: 20% domestics travel, • Overtime: as required, • Assignment Start: ca. June 2025 – December 2026 SWJ TECHNOLOGY and all of its subsidiaries (i.e., NGE EQUIPMENT and ProjectOne US) are Equal Opportunity Employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender, disability status, protected veteran status, or any other characteristic protected by law. Powered by JazzHR VgXKzCclDp

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Health insurance Join a vibrant community of passionate individuals who share your drive to make a real impact. At Ember Group Consulting, we believe in fostering collective growth, not just igniting transformations. Our collaborative environment is a breeding ground for innovation. Here, you'll learn from a wealth of perspectives among industry experts, develop new skills, and push your boundaries alongside inspiring colleagues. Become a catalyst for positive change and be part of something bigger than yourself. We spark the opportunity; you ignite your career at Ember Group Consulting. Why Ember Group Consulting? Because we ignite more than just transformations for our clients, we ignite careers for our people. At Ember Group Consulting, we're a people-centric consulting firm that values the spark within each individual. We believe in fostering a collaborative environment where you can: Learn alongside industry experts: Gain invaluable knowledge by working side-by-side with our team of highly skilled consultants. Develop new skills: We offer continuous learning opportunities to help you stay ahead of the curve and reach your full potential. Push your boundaries: Embrace challenges and contribute to impactful projects that drive positive change for our clients. Manager/Senior Manager- Full- Stack Engineer We are seeking an experienced Full Stack Engineering Consultant in Charlotte or NYC. Responsibilities: Collaborate with clients to understand business requirements and translate them into technical specifications across the full stack Implement front-end components and applications that consume APIs effectively Ensure API security, performance, and scalability through best practices Create comprehensive API documentation for both internal teams and external stakeholders Build automation tools for testing, deployment, and monitoring of API infrastructure Provide technical guidance and mentorship to client development teams Troubleshoot and resolve API integration issues across various platforms Optimize existing APIs for maximum efficiency and throughput Stay current with emerging API standards and technologies Develop and maintain data visualizations and reports to inform business decisions, leveraging expertise in analytics tools and statistical modeling. Analyze complex data sets to identify trends, optimize processes, and drive strategic business outcomes. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field 5+ years of experience in full stack development with significant focus on API development Strong proficiency in front-end technologies (JavaScript, TypeScript, React, Angular, or Vue) Proven expertise in back-end development (Node.js, Python, Java, or .NET) Experience with API design patterns, RESTful services, and GraphQL Knowledge of database technologies (SQL and NoSQL) and data modeling Familiarity with API testing frameworks and performance optimization techniques Understanding of OAuth, JWT, and other authentication/authorization protocols Experience with containerization (Docker) and orchestration (Kubernetes) Strong communication skills to effectively translate technical concepts to non-technical stakeholders Problem-solving mindset with attention to detail

Job Description Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Location: Charlotte, NC (onsite 5 days a week) Position: GAI Expert/Software Engineer Job Summary As a GAI Expert/Software Engineer, you will be responsible for building an application that generates code, pipelines, and creates web applications automatically via prompts. You will also play a key role in enhancing our Power Generation Operation using generative AI frameworks. This role requires a deep understanding of AI, machine learning, and software engineering principles, as well as a strong foundation in writing maintainable, testable, and modular code. Key Responsibilities • Design, develop, and maintain applications that generate code, pipelines, and web applications automatically via prompts using generative and agentic AI., • Enhance contact center operations by integrating generative AI solutions that improve customer experience and operational efficiency., • Apply software design principles and common patterns to write clean, maintainable, and scalable code., • Leverage unit testing frameworks to ensure code quality and reliability., • Experiment with and implement cutting-edge LLM agentic technologies to enhance application capabilities., • Collaborate with cross-functional teams and business stakeholders to accelerate adoption of AI-powered tools., • Implement GAI solutions in alignment with Duke Energy AI Policies., • Conduct R&D to explore new AI techniques and future technologies such as blockchain and quantum computing., • Optimize and fine-tune AI models for performance, scalability, and accuracy., • Provide technical guidance and mentorship to junior team members. Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, or related discipline; or 8 years of equivalent work experience in lieu of a degree., • 2–3 years of hands-on experience with generative AI implementations., • 4–5 years of experience in software engineering., • Strong understanding of Python and ability to quickly learn new frameworks. Preferred Qualifications • Proven experience in software engineering with a focus on AI and machine learning., • Experience with agentic technologies and their applications., • Familiarity with generative AI frameworks and LLMs., • Knowledge of natural language processing (NLP) and computer vision., • Experience with DevOps practices and tools for CI/CD., • Strong programming skills in Python, React, Angular., • Experience with AWS cloud platform and services., • Familiarity with modularized, testable code and unit testing frameworks., • Appetite for continuous learning and staying current with emerging AI technologies., • Excellent problem-solving, communication, and collaboration skills. Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job Description Job Title: Senior Data Engineer (onsite - Burnsville, MN or Charlotte, NC) Job Description: Trystar is at the forefront of advancing power solutions, charged and driven by a committed, dynamic team, tackling complex challenges, and creating innovative solutions. Safety and integrity aren’t just buzzwords. They are the north star guiding us as we aspire to wow our customers every day. We’ve created power solutions that are not only durable and unique but are also the result of serious teamwork from every corner of our organization. Individually and collectively, every team member at Trystar plays for each other and strives to deliver unmatched value and 100% accuracy to our customers every single day. As a big name and pioneer in power solutions, we’re not just part of the power conversation – we’re shaping its future, and we’re doing so across diverse industry sectors including healthcare, data centers, entertainment, education, government, and commercial construction – just to name a few! We’re committed to growing and evolving our product lineup to stay on top of the game and that includes leaning into sustainable, resilient, and renewable energy solutions. Our cutting-edge headquarters in Faribault, MN, is partially solar- and wind-powered by our own microgrid! You will find that we’re also pushing boundaries across the country at our additional facilities in Troy, MI; Houston, TX; Merrimack, NH; Burnsville, MN; Murfreesboro, TN; Waukesha, WI; and in Montreal, Quebec, Canada. Together, we are Trystar, where we power the future and nurture innovation for a brighter tomorrow. Trystar’s team members are our most important asset, and we are in search of a Senior Data Engineer to join our IT team. As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data platform. Your responsibilities will include building and optimizing data pipelines, ensuring data quality and integrity, and implementing data processing systems that support Trystar’s various business needs. Additionally, you will collaborate with cross-functional teams to understand data requirements, develop data models, and provide actionable insights. Your expertise will be instrumental in driving Trystar’s data strategy and supporting our commitment to innovation and operational excellence. This role requires a dynamic individual with a passion for technology, a commitment to delivering exceptional user experiences, and cross-functional collaboration. This is an opportunity to play a pivotal role in driving Trystar’s commitment to innovation, customer focus, and operational excellence. We are looking for people who believe in our guiding principles and values of: • Safety – We believe everyone should leave Trystar facilities in the same or better condition than when they arrived., • Integrity – We’re honest, transparent, and committed to doing what’s right., • Customer focus – We have relentless focus on our customers and their success., • Right with speed – We use good judgement, make thoughtful decisions quickly, and execute them with purpose and intensity., • Play for each other – We’re a team. We show up for each other and we know that through teamwork we achieve greatness., • Champion change – We know adaptation and improvement are requirements to survive and to thrive., • Enjoy the journey – We create an environment where our team feels appreciated and has fun along the way. In this role you will get to:, • Act as the strategic point of contact for all data engineering initiatives, collaborating with cross-functional teams to design, build, and maintain robust data pipelines., • Develop and implement scalable data solutions to support analytics, machine learning, and business intelligence activities., • Optimize and manage the performance of databases, ensuring data integrity and high availability., • Collaborate with stakeholders to gather, document, and translate business requirements into efficient data architecture., • Provide hands-on support and mentoring for junior data engineers, empowering them to effectively contribute to Trystar’s data solutions., • Orchestrate data validation and testing procedures to ensure data quality and alignment with operational goals., • Develop and maintain detailed documentation for data processes, customizations, and resolutions., • Track, manage, and communicate data-related updates, ensuring all stakeholders are informed and aligned., • Education: Bachelor’s degree in computer science, Data Engineering & Analytics or a related field., • Experience: Minimum of 7 years of experience in data engineering, with a focus on designing and implementing data solutions at scale., • Technical Skills: Proficiency in SQL, Python, and ETL tools. Experience with cloud data platforms Microsoft fabric, Azure Synapse, Azure Data Factory, Azure Databricks, Power BI or similar., • Strong understanding of data modeling, data warehousing, data lake houses, semantic models etc., • Proven ability to lead and mentor a team of data engineers, ensuring high performance and continuous improvement., • Excellent analytical and problem-solving skills, with a strategic approach to data management and architecture., • Strong communication skills, capable of translating complex technical concepts into business-friendly language., • Experience in managing large-scale data projects, including planning, execution, and delivery., • Familiarity with digital manufacturing and related systems like ERP, CRM, QMS etc., • Ability to troubleshoot technical issues and implement minor system enhancements., • Strong communication skills, with the ability to explain technical concepts in clear, business-friendly language., • Passion for learning and optimizing technologies and user experiences., • Exceptional organizational skills and attention to detail, with the ability to manage multiple tasks effectively., • Strong interpersonal skills and highly resourceful in both team environments and building business relationships., • Strategic mindset with a hands-on approach to problem-solving., • Willingness and ability to travel 20%.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Charlotte, NC What You Will Do Agentic AI & LLM Engineering • Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers., • Develop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool use., • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety., • Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment., • Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows., • Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale., • Work directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutions., • Contribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trust., • Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders. Experience & Background • 3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment., • Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar., • Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent)., • Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps., • Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM., • Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications., • Strong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering quality., • Kaggle or competitive ML experience., • Familiarity with H2O.ai products, Wave, or H2O Document AI., • Experience in financial services, healthcare, or other regulated industry AI deployments., • Exposure to tabular foundation models, AutoML, or enterprise ML platforms., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR z4Ve6c4obX

Job DescriptionData Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Be Part Of A High-Performing Team: Join a technology-driven organization within the financial services space that is focused on building scalable, data-intensive platforms supporting risk management and analytics. The team operates in a fast-paced, highly collaborative environment where engineering excellence and strong system design are expected. This group works at the intersection of application development, cloud infrastructure, and big data, leveraging modern Azure ecosystems to deliver enterprise-grade solutions. The work directly contributes to critical risk and decision-making systems, making the impact both visible and meaningful. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Hybrid work setup in Charlotte, NC, • Opportunity to work on enterprise-scale financial systems and modern cloud data platforms, • Exposure to advanced Azure services, Databricks, and distributed data processing frameworks, • Design and develop scalable applications using Core Python in a cloud-based environment, • Build and maintain full-stack solutions integrating backend services with modern frontend technologies, • Develop and optimize SQL queries to support analytics and data processing needs, • Work within Azure Databricks to build data pipelines, workflows, and scalable processing solutions, • Collaborate with cross-functional teams to design system architecture and deliver high-quality solutions, • Contribute to risk technology platforms that support financial data analysis and decision-making, • 8+ years of experience in software development with strong hands-on coding background, • Proven expertise building applications from scratch using Python (not just maintaining existing systems), • Strong experience with Python frameworks such as Django, Flask, or FastAPI, • Solid SQL skills with ability to perform complex queries and data analysis, • Exposure to JavaScript frameworks, preferably React, • Experience working with Azure Databricks, including PySpark, notebooks, workflows, and Delta Lake, • Familiarity with Azure services such as Functions, App Services, Data Lake, and event-driven components, • Experience with big data technologies such as Apache Spark, • Strong system design and architecture skills with ability to explain technical decisions clearly, • Experience with version control (Git, GitHub, Azure DevOps), • Exposure to financial services or risk management domain is highly preferred, • Strong communication skills and ability to work in a collaborative engineering environment

Job DescriptionSalary: Interested in helping us transform thermal and electric energy? Become a part of the leading Generation-IV nuclear plant development team. This is available in either our Charlotte, NC or Bryan, TX office. Come join us at Terrestrial Energy, a US developer of advanced, Generation IV nuclear reactors. We are growing our workforce to develop and deploy our Integral Molten Salt Reactor (IMSR) small modular nuclear plant to provide cost-competitive, clean firm heat and power to industry. The Company has recently completed a merger creating a publicly listed operating company (NASDAQ IMSR), to secure the capital resources for our next growth phase. With the current alignment of US Federal and State government, as well as industry interest in Small Modular Reactor (SMR) and advanced reactor technologies such as Terrestrial Energys IMSR, there is today a unique and compelling opportunity to participate in the execution of the companys growth business plan. The Company is building a team of high-performing business professionals and leaders in engineering, R&D, product management and business development areas at our Charlotte, North Carolina headquarters and future project sites. We are looking for talented individuals who can help build the organization, processes, and goal-orientated corporate culture to lead the company in our expansion. We are seeking people who: • Have US market experience and perspectives bringing good judgement and innovative approaches to problem solving and business plan execution., • Have demonstrated exceptional performance in past engineering projects., • Offer exceptional leadership and team building capabilities., • Have a deep understanding of the requirements for advanced reactor development., • Can assist in the creation of the discipline and organized company structure, and contributed to a culture of excellence, necessary for the development and deployment of the Companys IMSR plant., • Can thrive in a fast growing and opportunity business environment, and are capable of flexibility and adaptability at a time of organizational change., • Have the specific skillset and experience for the following role: The Safety Analysis Engineer, under the direction of Safety Manager, is critical to demonstrating the safety characteristics of Terrestrial Energys IMSR technology and supporting regulatory licensing activities. The successful candidate is primarily responsible for performing comprehensive safety analyses, developing accident scenarios, and contributing to safety case documentation that demonstrates compliance with regulatory requirements and the inherent safety features of our advanced reactor design. Other Responsibilities Include: Safety Analysis • Perform deterministic and probabilistic safety analyses for the IMSR design, • Develop and analyze Design Basis Accidents (DBAs) and Beyond Design Basis Accidents (BDBAs), • Conduct transient and accident analysis using thermal-hydraulic and neutronics codes, • Evaluate plant response to Postulated Initiating Events, • Assess the performance of Safety Systems and engineered safety features, • Analyze dose consequences and radiological release scenarios, • Develop and validate computer models for safety analysis using industry-standard codes, • Build thermal-hydraulic models of reactor systems and components, • Perform single and coupled physics simulations, • Validate models against experimental data and benchmarks, • Prepare safety analysis chapters for licensing documentation including Preliminary Safety Analysis Report (PSAR) and Final Safety Analysis Report (FSAR) for NRC/CNSC licensing, • Develop DOE-required safety analyses including Preliminary Documented Safety Analysis (PDSA) and Documented Safety Analysis (DSA) in accordance with DOE-STD-3009, • Highlight key safety decisions including target performance of structures, systems, and components (SSCs), safety system responses to normal and off-normal operations, and facility security considerations, • Define classification rules and terminology for safety SSCs, including application of the hierarchy of controls and Defense in Depth principles to ensure safety, • Perform analysis of most limiting potential dose consequences (e.g., unmitigated or Maximum Hypothetical Accident scenarios) to support Natural Phenomena Hazard (NPH) Natural Design Category (NDC) categorization, • Support validity assessment of selected safety document format and content, applicability of SSC classifications, and other graded approaches, • Support regulatory review processes and respond to technical questions from regulatory bodies (CNSC, NRC, DOE), • Ensure analyses comply with applicable regulatory requirements and guidance, • Participate in regulatory meetings and technical discussions, • Prepare detailed technical reports documenting analysis methodologies, assumptions, and results, • Create clear visualizations and presentations of analysis results, • Maintain comprehensive documentation of safety analysis activities, • Contribute to technical publications and conference papers, • Work closely with Physics, Thermal-Hydraulics, Systems Engineering, and Design Teams, • Interface with external partners including national laboratories and consultants, • Participate in design reviews and technical meetings, • Support integrated safety assessments across multiple disciplines, • Contribute to continuous improvement of safety analysis methods Requirements Education • M.Sc. or Ph.D. in Nuclear Engineering, Mechanical Engineering, Chemical Engineering, or related field; OR, • Minimum 3 years of experience in nuclear safety analysis or related field, • Experience with safety analysis codes and methodologies, • Knowledge of nuclear reactor safety principles and accident phenomena, • Understanding of regulatory requirements for nuclear facilities, • Proficiency with thermal-hydraulic analysis codes (Flownex, REPLAP5, or similar), • Knowledge of neutronics codes (MCNP, SCALE, Serpent, or similar), • Understanding of severe accident phenomena and analysis methods, • Familiarity with probabilistic risk assessment (PRA) concepts, • Strong analytical and problem-solving skills, • Proficiency with technical computing tools (MATLAB, Python, or similar), • Excellent technical writing and documentation skills, • Strong attention to detail and commitment to quality, • Ability to work independently and as part of a team, • Effective communication skills for technical and non-technical audiences, • Project management and time management capabilities, • Critical thinking and ability to defend technical positions Assets • Experience with advanced reactor designs or Generation IV systems, • Familiarity with molten salt reactor technology and safety characteristics, • Experience with US NRC, US DOE, or Canadian CNSC licensing processes, • Knowledge of relevant regulatory guides and industry standards (NUREG, CSA, IAEA, DOE STD-1189, DOE-STD-3009, 10 CFR 830), • Experience with severe accident analysis codes (MELCOR, MAAP, or similar), • Background in probabilistic risk assessment (PRA) or probabilistic safety assessment (PSA), • Experience with uncertainty quantification methods, • Knowledge of source term analysis and radiological consequence modeling, • Familiarity with quality assurance requirements for nuclear analysis (CSA N286.7, 10 CFR 50 Appendix B), • Professional Engineer (P.Eng./P.E.) designation, • Publications in nuclear safety or reactor analysis Benefits • Extended Healthcare Plan (Medical, Disability, Dental & Vision), + an additional Health Spending Account, • A vacation policy designed to support your work-life balance, • EAP Programs available to you and your family, • Wellness Subsidy, • Annual Performance Review, • Paid United Way Volunteer Days A chance to give back! Please submit a Resume andCover Letter. Candidates must be legally authorized to work in the US without the need for sponsorship for employment visa status. Terrestrial Energy requires that the successful candidate be able to access and use information subject to U.S. Export Control Laws, which mandate all citizenships (including dual citizenships) be from the U.S. Department of Energys List of Generally Authorized Countries (10 CFR Part 810 Appendix A and can be found here: ) unless a specific authorization from the U.S. Department of Energy is obtained or unless you are a U.S. citizen, U.S. national, U.S. permanent resident, or protected individual under the U.S. Immigration and Naturalization Act (8 U.S.C. 1324b(a)(3)). Additional information can be found here: . Terrestrial Energy Inc. is an equal opportunity employer and does not discriminate on the basis of any legally protected status or group. We encourage applications from all qualified individuals. If you require accommodation during the application or interview process, please advise us as soon as possible so appropriate arrangements can be made. If you require technical support in a format that is accessible to you, please contact

Job Description Overview We are seeking a highly skilled and motivated Network Consultant (L2) to join our team on a 1- year contract in Charlotte, NC for full-time onsite work starting 2nd week of April 2026. In this position, you will be working as a technology expert in the Routing & Switching, WAN edge and Network Observability space to design, implement, and support (troubleshoot) the client's Datacenter and Campus Networking deployment. What You'll Do: • You will provide advanced post-sales engineering support for Arista's Open Networking Data Center and Campus networking deployments for our enterprise and commercial customers, • Review customer network designs for an EVPN, VxLAN, leaf-spine architecture and make recommendations for deployment and operational efficiency, • Working knowledge of Arista's Cloud Vision Portal (CVP) and Arista Validated Design (AVD) will be very useful for this role, • Migrate or interconnect to/from Cisco, Juniper, and other vendors to Arista infrastructure, • Assist with configuration build-outs including creating network provisioning automation using EOS automation tools, Python and Ansible, • You will assist with proof of concepts (POC) and in-depth testing to validate design scenario, • Experience with working with CI/CD pipelines - designing, managing, and maintaining automated pipelines, ensuring seamless integration and deployment, • Provide interface to TAC and internal development teams and the customer, • You will provide customer advice regarding architectural questions, product prerequisites, product features, etc., • Translate complex business requirements into Leaf-Spine Network architectures, • Assist Pre-Sales Engineer and Account Executives with designing Network solutions, • Understand the client’s business objectives and technical needs Ability to communicate across all functions within as well as with clients and partners., • Maintain professional relationships with teammates, partners, and clients Qualifications • Network Industry Certification preferred, such as CCIE - RS, Data Center, JNCIE or Arista's - ACE-L5, ACE-L6., • 5+ years’ working experience with network technologies including network design and deployments of Campus and Data Center networks. Knowledge of leaf-spine architectures is highly desired., • Demonstrated experience in technical post-sales, as either a Network Consulting Engineer or as an Advanced Systems (AS) Engineer preferred, • Experience with enterprise routing/switching within large data center enterprise customers (Ex. Cisco Catalyst, Nexus, ASR), • Expert knowledge in the following areas: Ethernet, VLANs, VxLAN, EVPN, IP Routing, TCP/IP, OSPF, BGP, eBGP, Multicast, QoS, WAN, Network Observability Expert level knowledge of industry-standard CLI, • Ability to write white papers a plus Background in Perl, Python, Scripting for creating network automation is desired

Job Description Role: Cloud Application Architect Employment: Permanent, Direct hire, full-time Location: Charlotte, North Carolina - hybrid, 2-3 days onsite a week Authorization to work: visa sponsorship or visa transfers are not available for this W2 role Position Summary The Application Architect (AA) is responsible for leading the design, implementation, and maintenance of global applications and technologies. The successful candidate will work in collaboration with development teams to create and promote application architecture best practices. This role focuses on driving improvements to the software ecosystem, spanning both multiple cloud providers and on-premise data centers. The AA is expected to develop, document, and maintain enterprise design patterns, ensuring adherence to industry best practices. Key Responsibilities and Duties * Architectural Leadership: Lead and facilitate the development of the application architecture initiative, including but not limited to design and integration patterns, solution architecture, software development lifecycle (SDLC) practices, and application design. * Design & Standards: Develop, document, and implement application architecture guidelines, best practices, and application design patterns for on-premise and cloud-based applications, encompassing database design, system decomposition, event streaming, and micro-services. * Design Review: Participate in the review and provide assessments of applications, including those using proprietary technologies (e.g., SaaS, COTS, etc.). * Guidance & Mentoring: Hands-on development of application patterns/designs to streamline and accelerate development teams' use and adaptation of designs. * Provide guidance and recommendations on new design patterns, emerging best practices, and technologies. * Ensure alignment of the application architecture with the enterprise architecture. * Provide insight on performance improvements in applications and processes. * Work with the development team and business units to understand and meet the strategic and tactical needs of the organization. * Be expected to stay up to date with the latest industry developments and technologies so that they may provide optimal technology recommendations and guidance. * The position is expected to frequently mentor fellow architects and developers. Qualifications What you must have: * Experience: * An AA is expected to have an advanced level of experience with application design, including but not limited to large-scale, complex enterprise-level solutions. * Experience collaborating with enterprise architecture, information security, and compliance teams, with strong cybersecurity solutions expertise being a plus. * Experience working in a regulated technical field is acceptable. * The ideal candidate should have at least 8 years of experience in application architecture/design/development, with a strong background in collaboration with development and infrastructure teams. * Education: Bachelor's degree preferred, but extensive experience in a related technical field is acceptable. * Technical Skills: * Strong background in development/infrastructure patterns/designs. * Knowledgeable in event streaming platforms (Kafka/Pulsar/etc.), sub-pub middleware, API gateways, OpenAP/AsyncAPI, and service discovery. * Experience designing cloud native applications (containers, serverless, IaC basics). Deep infrastructure skills are a plus but not mandatory. * Ability to facilitate domain model workshops. * Competence and experience defining design skills. * Ability to assess strong communication skills, both written and spoken, as well as strong collaboration and teamwork skills. * Comprehensive experience working in different kinds of languages (Python, Node.js, Java, C#, etc.) and technologies. * One or more certifications is preferable. Your Well-being Your well-being is of paramount importance and central to our success here at the organization. The company offers a comprehensive and competitive benefits package designed to address your individual needs, including discretionary annual performance bonuses, retirement savings plan, tuition reimbursement, mental health and wellness support, and comprehensive health/dental benefits.

Job Description Be Part Of A High-Performing Team: Join a leading global financial institution known for its strong presence in capital markets, banking, and technology-driven operations. The organization fosters a collaborative and fast-paced environment where data-driven decision-making is central to business success. This team operates within a highly specialized cybersecurity and data operations function, supporting critical data warehousing initiatives that enhance risk visibility and enterprise security. The culture emphasizes precision, cross-functional collaboration, and continuous improvement in handling complex data ecosystems. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work within a cybersecurity-focused data environment, • Exposure to enterprise-scale data warehousing and analytics initiatives, • Analyze and interpret data from multiple upstream systems to support Cyber Data Warehouse (CyberDW) initiatives, • Partner with stakeholders and engineering teams to define and document technical data requirements, • Perform data validation, cleansing, and transformation to ensure data accuracy and integrity, • Identify trends, patterns, and anomalies to support business and security insights, • Support reporting and visualization efforts using BI tools, • 10+ years of experience in data analysis, data operations, or similar roles, • Strong experience working with large datasets, data validation, and data quality processes, • Proficiency in Excel and at least one BI tool (Tableau, Power BI, or similar), • Hands-on experience with SQL and relational databases, • Exposure to Python for data analysis is a strong plus, • Experience working with cross-functional teams in enterprise environments, • Strong communication skills with the ability to translate business needs into technical requirements, • High attention to detail and ability to work in a fast-paced, data-driven environment

Job DescriptionPython - Senior Developers - AI Training - USAAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Senior Python Developers to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in Software Engineering, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data. Researchers looking for your skills tend to pay up to $50/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Educational Background: a BSc or higher in Computer Science, Software Engineering, or closely related technical field, • Professional Experience: real world experience as a Senior Software Engineer/ Developer specializing in Python, • Coding Proficiency: ability to solve LeetCode Medium to Hard-level problems in Python independently., • Deep Domain Knowledge: expert understanding of the GIL (Global Interpreter Lock), decorators, generators, memory management, and asynchronous patterns (asyncio, async/await)., • Code Quality: a high standard for clean code, including modularity, readability, and adherence to modern Pythonic standards (PEP 8, PEP 20)., • Attention to Detail: ability to spot subtle logical flaws, memory leaks, or security vulnerabilities in model-generated code.What you'll be doing in the role, • Evaluate Code Accuracy: review AI-generated Python code for functional correctness and adherence to best practices., • Validate Logic & Reasoning: audit the step-by-step explanations provided by AI for complex algorithmic solutions to ensure they are logically sound., • Conduct Execution Testing: execute model-generated scripts in appropriate environments to verify performance and output., • Annotate Model Performance: identify areas where a model provides inefficient solutions, deprecated syntax, or hallucinated library methods., • Refine Technical Logic: provide structured feedback on how models reason through backend architecture, data pipelines, or API design discussions.Key Technologies, • Core Language: expert mastery of Python 3.x, including type hints and modern language features., • Frameworks: extensive experience with Django, FastAPI, or Flask., • Testing & Tools: proficiency with pytest, unittest, coverage.py, and tox. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job DescriptionCompany Description CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what’s possible in a changing world. As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients’ myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action. Together, we create outcomes that exceed the expected — which is one of the reasons we’ve been on the Inc. 500/5000 list for over a decade. Job Description CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client’s business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: • Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state, • Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps, • Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met, • Motivating and developing staff through teaching, empowering, and influencing technical and consulting “soft” skills, • Collaborating with client stakeholders and development staff to ensure data architecture recommendations maximize the value of client data across the organization, • Driving innovative technology solutions through thought leadership on emerging trends, • Sharing project solutions and outcomes with colleagues to improve delivery on future projects, • Partnering with CapTech business development team to demonstrate CapTech’s technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications • 5+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies, • Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python, • Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks, • Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture, • Ability to assess traditional and modern data architectural components based on business needs, • Familiarity with recommending data governance best practices including MDM, security, privacy and policies Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. * CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1

Job DescriptionTechnology & Data Science Intern – ScentAir (Charlotte, NC) At ScentAir, we use technology to make everyday spaces smell amazing — from hotels and stores to businesses around the world. Join our team and see how data, software, and innovation power the scent experience! We’re looking for a Technology & Data Science Intern who’s excited to learn, code, analyze, and build. This 3–6 month internship is hands-on and fast-paced, giving you exposure to software development, data analytics, and IT operations — all within a global company that values creativity and results. What You’ll Do: • Help build and automate tools and apps using coding and scripting., • Work with data to uncover insights that improve business performance., • Support projects across IT — from cloud applications to security and infrastructure., • Assist with dashboards, reporting, and process optimization., • Collaborate with experienced engineers and analysts on real-world challenges.What We’re Looking For:, • Currently enrolled in a Computer Science, Data Science, or Engineering program., • Experience or coursework in Python, SQL, or JavaScript., • Strong communication and problem-solving skills., • Interest in data, analytics, and using technology to make things better., • Comfortable working on-site at our Charlotte, NC corporate office.Details:, • Paid internship (3–6 month duration)., • Flexible start date depending on academic schedule., • Full-time summer or part-time during semester options available.You’ll gain hands-on experience, mentorship, and the chance to contribute to technology that helps businesses create unforgettable experiences. Powered by JazzHR biM9pB8qhL

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial institution operating at the forefront of banking, risk management, and technology innovation. The organization is known for its strong governance, data-driven decision-making, and investment in advanced cybersecurity initiatives. This team sits within a specialized Insider Risk and Cybersecurity Data Operations function, working on cutting-edge initiatives to centralize and transform enterprise data into actionable intelligence. The environment is highly collaborative, partnering across Cybersecurity, HR, Legal, Compliance, and Fraud teams to build sophisticated risk models and analytics frameworks. The team is focused on developing next-generation capabilities such as human risk scoring and behavioral analytics to strengthen enterprise security posture. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on advanced AI/ML-driven cybersecurity initiatives, • Exposure to enterprise-wide data strategy and executive-level decisioning, • Hybrid work environment with collaboration across multiple business units, • Design and develop quantitative models to detect, assess, and prioritize insider risk across enterprise environments, • Build and enhance machine learning models (classification, anomaly detection, clustering) for cybersecurity and risk analytics, • Partner with cross-functional teams to translate complex data into actionable insights and risk signals, • Contribute to the development of a centralized Cybersecurity Data Lakehouse (CyberDW), • Create transparent and explainable risk scoring models for governance and regulatory alignment, • 5+ years of experience in data science, quantitative analysis, or risk modeling (10+ years preferred), • Strong background in machine learning techniques such as regression, classification, clustering, and anomaly detection, • Proficiency in Python and/or R, along with strong SQL skills for large-scale data analysis, • Experience working with complex enterprise datasets and translating insights into business decisions, • Background in cybersecurity, insider risk, fraud, AML, UEBA, or threat analytics programs, • Familiarity with identity/access data, endpoint telemetry, DLP, or communication monitoring systems, • Experience with model governance, validation, and explainability in regulated environments, • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders, • Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or related discipline #dice

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionAI & Machine Learning Engineer - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning., • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment., • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques., • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows., • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms., • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content. What you'll be doing in the role • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy., • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness., • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness., • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down., • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics. Key Technologies • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras., • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers., • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description Be Part Of A High-Performing Team: Join a leading global financial services organization supporting advanced cybersecurity and data intelligence initiatives. This team operates at the intersection of data engineering, cyber analytics, and enterprise risk, enabling critical decision-making through high-quality, well-structured data. The environment is fast-paced, highly collaborative, and focused on delivering scalable data solutions that support security operations and enterprise-wide data strategy. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work within a high-visibility cybersecurity data environment, • Hybrid work model with a strong emphasis on collaboration and stakeholder engagement, • Exposure to enterprise-scale data systems and cross-functional teams across data engineering and security domains, • Analyze and assess data from multiple upstream systems to support Cyber Data Warehouse (CyberDW) initiatives, • Partner with stakeholders and data engineering teams to define and document technical data requirements, • Perform data validation, cleansing, and transformation to ensure data accuracy and integrity, • Identify trends, inconsistencies, and opportunities for improving data quality and reporting, • Support the development of data pipelines and reporting solutions through clear data insights and requirements, • 10+ years of experience in data analysis, preferably within enterprise or financial services environments, • Strong experience working with large datasets, including data profiling, cleansing, and validation, • Proficiency in Excel and experience with BI tools (Tableau, Power BI, or similar), • Working knowledge of SQL and relational databases (hands-on querying experience preferred), • Exposure to Python for data analysis is a plus, • Strong ability to translate business requirements into technical data specifications, • Experience working cross-functionally with stakeholders and data engineering teams, • Excellent attention to detail and ability to interpret data within a business and operational context, • Strong communication skills and ability to articulate findings clearly to both technical and non-technical audiences

Job DescriptionDescription: Hybrid 3 on in Charlotte, NC Our client seeks a Data Science/AI Specialist to build and productionize machine learning solutions, data pipelines, and model deployment workflows. The role will emphasize Python development, SQL, feature engineering, model training, and evaluation with cloud tooling. The specialist will collaborate within agile teams to deliver secure, scalable AI capabilities and support optimization use cases in production. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $75.00 to $85.00/hr. w2 #LI-JS1 JN -012026-105269 Responsibilities: • Design, build, and maintain data pipelines for ingestion and transformation using SQL and modern data tooling., • Develop production-quality Python code with clean architecture, testing, and packaging for ML workflows., • Train, evaluate, and tune machine learning models, including feature engineering and model validation., • Apply optimization techniques within ML and analytics workflows to improve outcomes and performance., • Implement CI/CD practices for data and ML services and collaborate on MLOps for model execution pipelines., • Contribute to secure AI architectural patterns and adhere to best practices in cloud environments., • Build and support integrations with data sources such as SQL Server, Oracle, and Hive., • Collaborate within cross-functional agile teams to deliver models and data products to production., • 3 to 4 years of professional experience in data science, machine learning, or related engineering roles., • Strong SQL programming skills, including complex queries and performance considerations., • Production-level Python experience with clean coding, testing, and packaging practices., • Hands-on experience with TensorFlow, PyTorch, and scikit-learn for model development., • Experience building data pipelines for ingestion and transformation., • Knowledge of CI/CD pipelines and proficiency in at least one additional programming language., • Understanding of secure AI architectural patterns and agile team practices., • Experience with cloud technologies for ML workflows., • Solid grasp of ML algorithms, optimization, feature engineering, and model evaluation methods., • Experience with data wrangling, statistical analysis, and data visualization libraries., • Basic knowledge of deploying ML models to production., • Familiarity with AWS services for ML workflows such as S3, Lambda, EC2, and SageMaker (preferred)., • Prior experience in cross-functional product teams (preferred)., • Experience supporting data scientists to optimize data and model delivery (preferred)., • Experience with ETL tools such as SSIS, Sqoop, or Spark (preferred)., • Experience with Python and/or PySpark for data processing (preferred)., • Expert-level SQL including joins, CTEs, indexes, stored procedures, and tuning (preferred)., • Experience collaborating with MLOps to build pipelines for model execution (preferred)., • Experience with data ingestion from SQL Server, Oracle, Hive, and similar sources (preferred)., • Experience with architectural and security patterns (preferred)., • Bachelor’s degree in Computer Science, Information Systems, or related discipline, or 8 years of equivalent work experience. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Be Part Of A High-Performing Team This role supports a large-scale digital transformation within a global financial services organization focused on modernizing its technology stack and strengthening a data-driven operating model. The team sits within the Data Strategy function supporting capital markets and securities businesses across the Americas, working closely with global stakeholders to build a strategic enterprise data platform. The environment is collaborative and delivery-focused, with strong emphasis on engineering standards, cloud-first architecture, and scalable data solutions. This team is responsible for foundational data platforms that support critical reference, pricing, and market data domains, enabling analytics, reporting, and downstream business systems. What’s In Store For You This engagement offers hands-on exposure to enterprise-scale Azure data platforms within a regulated financial services environment. The role provides the opportunity to work on strategic, long-term data initiatives, collaborate with distributed global teams, and contribute to the buildout of core data capabilities that support capital markets operations. How You Will Make An Impact • Design, build, and enhance data pipelines and services on Azure to support a strategic enterprise data platform, • Develop and maintain reference and pricing data solutions used across capital markets and securities teams, • Collaborate with data strategy, engineering, and business stakeholders to deliver scalable cloud-based solutions, • Implement and support ETL/ELT processes aligned with enterprise data standards, • Build and expose data services and APIs to enable downstream consumption, • 5–7 years of experience as a Data Engineer or Software/Data Engineer in enterprise environments, • Strong hands-on experience with Azure cloud services, including Azure Data Factory and Azure Data Lake Gen2, • Experience working with Azure Databricks for data processing and transformation, • Proficiency in Python, including API development using FastAPI or similar frameworks, • Strong SQL skills with experience across relational and NoSQL databases, • Experience with Azure-native components such as Azure Functions, API Gateway, and Azure databases, • Solid understanding of ETL/ELT concepts and data pipeline design, • Familiarity with CI/CD and DevOps practices (Git, Jenkins, automated deployments), • Exposure to financial services, capital markets, financial instruments, or market data is a plus, • Strong communication skills and ability to work with distributed, cross-functional teams #dice

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients. Specific responsibilities for the Machine Learning Engineer position include: • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs, • Deconstructing client needs into data-driven processes/models and analytical measures., • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP)., • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring)., • Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements., • Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers. Qualifications • Bachelor's degree or equivalent combination of education and experience., • Hands-on experience manipulating and analyzing large (multi-billion record) data sets., • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages., • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting., • Proficiency with containerization (e.g., Docker) and microservices., • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS, • Comfort and proficiency in framing data-driven problems from cross-industry business requirements., • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels), • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision)., • Knowledge of DevOps and automation best practices., • Knowledge of statistics and statistical modeling methods., • Knowledge of model management and model versioning best practices., • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting, • Experience with prompt engineering, MCP and RAG, and agentic AI architectures, • Strong understanding of conversational UX and prompt evaluation metrics, • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.), • Experience with multi-agent orchestration Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Sr Azure Developer This is an exciting opportunity to join an industry leading healthcare company. As a Senior Azure Developer you will architect, build, and maintain cutting-edge cloud solutions on Microsoft's Azure platform. This position demands extensive expertise in C# and core Azure services such as Azure Functions, Logic Apps, API Management (APIM), and Service Bus. Strong capabilities in Microsoft SQL Server, middleware technologies and their implementation, and database design are also required.Responsibilities: • Architect scalable, secure, and high-performance Azure cloud solutions by integrating services including Azure Functions, Logic Apps, API Management, and Service Bus., • Ensure seamless system connectivity and data flow while developing detailed technical specifications and solution blueprints aligned with business goals and industry standards., • Partner with business analysts, stakeholders, and architects to gather requirements and translate them into comprehensive technical specifications and solution designs that support organizational objectives and follow established best practices., • Design, build, and maintain RESTful APIs using C# and Python with asynchronous programming techniques to ensure optimal performance and scalability., • Implement robust error handling, security protocols, and data integrity measures., • Leverage Azure Functions and API Management to deliver serverless API solutions with seamless front-end and back-end integration., • Ensure all APIs are thoroughly documented, tested, and optimized for high availability and minimal latency. Requirements and Desired Experience:, • Bachelor’s degree in Computer Science, Software Engineering, or similar; Master’s a plus, • 7+ years of Azure integration development experience specializing in C#, Azure cloud development, Enterprise Service Bus (ESB), RESTful APIs, and middleware solutions., • Strong proficiency in Azure solution development including Logic Apps, Azure Functions, and APIM, combined with strong C# back-end development capabilities, RESTful API design, and ESB/middleware integration expertise., • Previous experience with Azure DevOps required, • Python experience a plus. Compensation (DOE): $115k - $130k annual base salary

Job Description Agentic AI Engineer What you'll be doing You'll design, build, and implement autonomous AI agents that reason, plan, and take action across our business — agents that turn messy real-world goals into executable steps, plug into our systems, and deliver an industry-leading experience for our employee-owners and our customers. Day to day, you will: • Architect agentic systems from the ground up — perception, planning, memory, and tool-use components that complete multi-step workflows autonomously across APIs, internal services, and enterprise applications., • Turn LLM capability into business leverage by integrating frameworks like LangChain, Semantic Kernel, AutoGen, CrewAI, and LangGraph with our data hub and operational systems., • Make agents trustworthy in production — build the monitoring, observability, evaluation pipelines, logging, and safety controls that let us deploy with confidence instead of crossed fingers., • Sit at the table with leadership, sales, and operations, translate what they actually need into agentic workflows, and prove impact with KPIs that move the business — not vanity metrics., • Run experiments, gather feedback, and iterate fast to keep pushing agent performance forward., • Document the craft — architectures, design decisions, limits, and lessons — so the whole company compounds on what you build. Who you'll be doing it with This is a team sport, and we play it with people we genuinely like working with. You'll be part of a small, tight-knit crew of working directly with HVAC and construction industry experts, and business leaders who are passionate about our customers, teammates and business. The kind of team that whiteboards together, creates together, celebrates wins together, and gives each other real feedback without ego. We share ideas openly, pressure-test each other's thinking, and cover for each other. Our leadership is hands-on and accessible — not a layer of management you escalate to, but teammates you build with. Sales and operations aren't on the other side of a wall; they're in the room helping you figure out what to build and then using what you ship. Because everyone here is an employee-owner, we all work for each other. If you do your best work around smart, curious, low-drama people who care as much about the mission as the code, you'll fit right in. What you bring • A strong software engineering foundation with real production chops in Python and backend or data systems., • Hands-on generative AI / agentic AI experience, including at least 1 year building with LLM-based agents, tool use, or multi-agent systems., • Working fluency with one or more agentic/LLM stacks (LangChain, Semantic Kernel, AutoGen, CrewAI, LangGraph) and a major cloud AI platform (Azure OpenAI, Google Cloud, AWS, or equivalent)., • Solid grasp of prompt engineering, RAG, and context/memory management for LLM applications., • Experience integrating AI with REST/GraphQL APIs, databases, message buses, and event-driven or microservices architectures., • You've designed or operated autonomous agents in complex domains (operations, customer support, finance, healthcare, marketing automation, etc.)., • Background in applied ML, reinforcement learning, or planning/decision-making algorithms., • Real-world knowledge of AI safety, governance, and compliance — data privacy, access control, human-in-the-loop workflows. Why this role is different • You're an owner from day one. We're 100% employee-owned — the tools you build create value you directly share in., • Entrepreneurial, not corporate. Fewer meetings, faster decisions, shorter distance between idea and production., • Real problems, real users. Your agents will be used by your own colleagues and our customers — you'll see the impact, hear the feedback, and produce the fix the same week., • Industry-leading ambition. We're not chasing AI trends. We're building the tools our industry will wish it had — alongside teammates who are as fired up about it as you are. "As an Agentic AI Engineer here, you'll own the end-to-end lifecycle of AI agents that turn high-level goals into concrete action — connecting LLMs with our data, tools, and products to deliver measurable impact for the people who own this company and the customers who count on us." This job description is intended to provide information regarding the essential functions and basic duties of this position. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and duties that could be assigned. Additional functions and requirements may be assigned by management as it deems appropriate. This document does not constitute a contract and is subject to change at the discretion of Hoffman & Hoffman, Inc. EEO Employer/Vets/Disabled

Job DescriptionSalary: Come join us at Terrestrial Energy, a US developer of advanced, Generation IV nuclear reactors. We are growing our workforce to develop and deploy our Integral Molten Salt Reactor (IMSR) small modular nuclear plant to provide cost-competitive, clean firm heat and power to industry. The Company has recently completed a merger creating a publicly listed operating company (NASDAQ IMSR), to secure the capital resources for our next growth phase. With the current alignment of US Federal and State government, as well as industry interest in Small Modular Reactor (SMR) and advanced reactor technologies such as Terrestrial Energys IMSR, there is today a unique and compelling opportunity to participate in the execution of the companys growth business plan. The Company is building a team of high-performing business professionals and leaders in engineering, R&D, product management and business development areas at our Charlotte, North Carolina headquarters and future project sites. We are looking for talented individuals who can help build the organization, processes, and goal-orientated corporate culture to lead the company in our expansion. We are seeking people who: • Have US market experience and perspectives bringing good judgement and innovative approaches to problem solving and business plan execution., • Have demonstrated exceptional performance in past engineering projects., • Offer exceptional leadership and team building capabilities., • Have a deep understanding of the requirements for advanced reactor development., • Can assist in the creation of the discipline and organized company structure, and contribute to a culture of excellence, necessary for the development and deployment of the Companys IMSR plant., • Can thrive in a fast growing and opportunity business environment, and are capable of flexibility and adaptability at a time of organizational change., • Have the specific skillset and experience for the following role: The Mechanical Engineer/Analyst Model Development, under the direction the Mechanical Engineering Manager, is primarily responsible for contributing to the design and analysis of IMSR reactor systems, components and materials through the Detailed Engineering phase. In particular, the role will include developing and implementing custom Engineering models for predicting the behavior and integrity of reactor materials, components, and systems throughout their operating life under IMSR reactor environmental conditions. Other responsibilities include: • Conducting literature and operating experience (OPEX) reviews to support design and model development, • Collaborating with the Research and Development (R&D) group to translate experimental results into custom Engineering models of components and materials under reactor conditions and to plan new experiments as needed, • Preparing models, calculations and reports for analysis of reactor components (such as graphite core components, core support structures, the reactor vessel, and other in-core components) including evaluating the effects of irradiation, fatigue, creep, dynamic and static mechanical and thermal loads, and other aspects as needed, • Developing computer codes for building custom analysis tools, automating input/output processing and customizing functionality of commercial software, • Attending and participating in conferences and industry events to stay familiar with and contribute to the development of current codes, standards, and industry best practices, • Interface with external experts and regulatory agencies Core Competencies • Mechanical and Material model development, • Strong knowledge of solid mechanics and material science fundamentals, • Communication, • Critical Thinking, • Decision Making, • Leadership, • Planning and Organizing, • Problem Solving, • Results Orientation, • Team player with the ability to collaborate and interact with other groups, • Flexible and adaptable to change Requirements • Degree or diploma in Mechanical Engineering, Materials Engineering, Nuclear Engineering, or alternate degree in a related field, • Minimum 4 years of work experience in mechanical and materials modelling and analysis (relevant graduate studies and academic research experience will be considered, and exceptions may be considered for particularly well-suited experience of shorter duration), • Strong theoretical understanding of underlying mechanics of materials and material science fundamentals, • Experience with ANSYS Mechanical or other commercial FEA software (ANSYS Mechanical APDL is preferred), • Experience with computer programming (Python, C, Fortran, C++, or other) for data pre/post processing or automation/customization of simulations in commercial software, • Knowledge of fatigue, creep, dynamic and static, linear and non-linear analyses, • Willingness to adapt and learn new approaches and areas of expertise, • Strong communication (both written and verbal) skills, • Demonstrated ability to work independently and with teams on problems that are challenging to solve and requiring innovative solutions Assets • Graduate-level degree (Masters or PhD) with an applicable specialization, • Experience with analysis of non-metallic materials (particularly graphite or similar materials), • Experience with the implementation of user programmable features for custom constitutive models within a commercial FEA software (such as UserMat in ANSYS or UMAT in ABAQUS) is essential, • Working knowledge of the effects of radiation on materials of construction (graphite and alloy), • Knowledge of nuclear and/or non-nuclear codes and standards including ASME Section III Division 1, Division 5, CSA N285.0 and ASME B31.1, CSA B51, • Experience with high temperature reactor applications and knowledge of ASME Section III Division 5 is strongly preferred, • Experience running large-scale models using HPCs, • Licensed Professional Engineer Benefits • Extended Healthcare Plan, • A vacation policy designed to support your work-life balance, • EAP Programs available to you and your family, • Wellness Subsidy, • Annual Performance Review, • Paid Volunteer Days A chance to give back!, • Career development opportunities Please submit a Resume andCover Letter. Candidates must be legally authorized to work in the US without the need for sponsorship for employment visa status. Terrestrial Energy requires that the successful candidate be able to access and use information subject to U.S. Export Control Laws, which mandate all citizenships (including dual citizenships) be from the U.S. Department of Energys List of Generally Authorized Countries (10 CFR Part 810 Appendix A and can be found here: ) unless a specific authorization from the U.S. Department of Energy is obtained or unless you are a U.S. citizen, U.S. national, U.S. permanent resident, or protected individual under the U.S. Immigration and Naturalization Act (8 U.S.C. 1324b(a)(3)). Additional information can be found here: . Terrestrial Energy Inc. is an equal opportunity employer and does not discriminate on the basis of any legally protected status or group. We encourage applications from all qualified individuals. If you require accommodation during the application or interview process, please advise us as soon as possible so appropriate arrangements can be made. If you require technical support in a format that is accessible to you, please contact

Job DescriptionCloud Systems Architect Employment Type: Full-Time, Mid-levelDepartment: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications:- Experience with and a complete understanding of the technology required for cloud computing.- Experience with the skills to migrate applications to the cloud.- Be able to build relationships between the customers and the team members.- The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing.- The ability and the knowledge to implement security information and event management to keep the customer's assets safe.- Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure.- Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.- Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. The Value You Deliver (or What You’ll Do) • Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions., • Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies., • Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution., • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs., • Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders. Qualifications • Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets, • 5+ years of experience delivering data engineering solutions on cloud platform, • 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP), • Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion), • Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks, • 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery), • Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs), • 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell), • Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira), • Fundamental understanding of big data, open source, and data streaming concepts, • Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs, • Experience providing technical leadership and mentoring other engineers in data engineering space, • Cloud certification on any platform a plus Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1 #LI-Remote

Job Description Senior Operations Analyst Join a forward-thinking team dedicated to advancing cybersecurity operations. The team focuses on leveraging cutting-edge technologies to enhance data management and operational efficiency in a dynamic and rapidly evolving environment. Be Part Of A High-Performing Team The team thrives in a collaborative and innovative culture, consisting of highly skilled professionals driven by excellence. With a strong emphasis on teamwork and continuous improvement, the team has consistently achieved success in implementing robust cybersecurity solutions. The work environment encourages proactive problem solving and supports professional growth and development. What's In Store For You Opportunity to work with advanced cyber data technologies and contribute to the strategic goals of the organization. Engage in continuous learning and professional development through exposure to innovative projects and initiatives. How You Will Make An Impact • Monitor the production batch stream cycle of CyberDW and diagnose job failures, including ETL, CDQ, QA, DLP, and event monitoring jobs., • Escalate job failures following established protocols and ensure timely resolution., • Create and maintain playbooks and standard operating procedures (SOPs) to support operational processes., • Liaise with the Cyber Data team regarding production releases and address issues related to CyberDW., • Mandatory experience with SQL and relational databases., • Proficiency in Python is considered advantageous., • Strong attention to detail and capacity to interpret data in a business context., • Effective communication skills and ability to collaborate with cross-functional teams., • Experience in business analysis, operations, or process improvement., • Strong analytical, organizational, and problem-solving skills., • Familiarity with process mapping and project management tools., • Ability to work collaboratively and communicate effectively with stakeholders.

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. At Coinbase, identity and access controls are foundational to protecting customer funds, sensitive data, and the trust that underpins our position as the world's most trusted crypto platform. The Identity and Access Management (IAM) program, housed within Security, is a cross-functional team that designs, builds, and governs workforce identity services, privileged access controls, and automated governance across a complex and rapidly evolving technology ecosystem and regulatory landscape. This role serves as a senior technical leader within the IAM program, partnering with Engineering, IT, Platform, and business teams to architect and deliver identity solutions that balance zero-trust security with workforce enablement, reduce insider risk, and satisfy global regulatory requirements. What you'll be doing (ie. job duties): * Lead the architectural vision and security engineering execution for Coinbase's Identity and Access Management (IAM) and workforce security platforms across our multi-cloud infrastructure, extensive third-party SaaS ecosystem, and internally developed applications. * Evaluate, design, and implement "build, buy, or hybrid" strategies for workforce Identity Governance and Administration (IGA), integrating commercial tools with custom middleware and machine learning or AI models to automate complex access lifecycles and maximize ROI. * Write high-quality code to build scalable automation, custom integrations, and self-service guardrails that embed intelligent identity controls directly into CI/CD pipelines, SaaS provisioning workflows, and internal enterprise tooling. * Conduct comprehensive threat modeling and security architecture reviews for foundational identity systems and critical SaaS integrations, utilizing automated threat intelligence and AI-assisted analysis to proactively identify attack vectors and design resilient mitigations. * Partner with Engineering, IT, HR, AI/ML, and Product teams to align security initiatives with business goals, balancing robust zero-trust security with developer velocity and seamless workforce enablement. * Act as the directly responsible individual (DRI) for complex, cross-team security initiatives, mentoring junior and mid-level engineers, and influencing senior leadership on risk tradeoffs and next-generation workforce security strategies. What we look for in you (ie. job requirements): * 7+ years of proven experience in software engineering, security engineering, or systems architecture, with a deep, Staff-level focus on Identity and Access Management and enterprise workforce security. * Must be proficient in at least one programming language (e.g., Python, Go) and be able to effectively leverage AI-assisted development tools to build security tooling, automate workflows, and accelerate code review. * Demonstrated track record of successfully implementing complex hybrid IAM infrastructures, integrating a massive footprint of third-party SaaS applications alongside internally developed microservices. * Deep operational and architectural understanding of Identity Governance and Administration (IGA) processes, including automated provisioning/deprovisioning (JML workflows), continuous access reviews, and privileged access management (PAM) across a diverse enterprise fleet. * Extensive expertise in modern identity protocols (SAML, OAuth2, OIDC, SCIM), cloud IAM (AWS and GCP), and dynamic access control frameworks (RBAC, ABAC, ReBAC) that adapt based on behavioral context and AI-driven risk scoring. * Strong background in applied risk management, automated threat modeling, and zero-trust architecture principles applied to high-growth distributed systems and globally distributed workforces. * An execution-focused mindset with the ability to navigate ambiguity, drive alignment without direct authority, and communicate highly technical risk concepts to business stakeholders. * Experience driving security and engineering outcomes across decentralized or federated organizational structures, where the ability to build consensus, influence without direct authority, and coordinate delivery across multiple contributing teams is essential to success. * Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality. Nice to haves: * Experience operating in a hyper-growth tech, FinTech, or crypto environment, navigating strict regulatory landscapes (e.g., SOX) specifically regarding workforce access, logging, and auditing. * Experience governing non-FTE workforce populations (such as BPO, contractors, and M&A) at scale, including birthright access design, role-based access control for high-risk personas, and timely deprovisioning across complex identity lifecycles. * Hands-on experience with Policy-as-Code paradigms (like Open Policy Agent) and integrating machine learning to automate policy generation, detect permission anomalies, or streamline IGA certification campaigns. * Experience managing identity boundaries for AI/ML workloads, including securing workforce access to large language models, training data pipelines, and inference infrastructure. Job #: P76467 #LI-Remote Pay Transparency Notice:* *Depending on your work location, the target annual *base *salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $218,025-$256,500 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Specialty/Competency: Product Innovation Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 60% At PwC, our people in integration and platform architecture focus on designing and implementing seamless integration solutions and robust platform architectures for clients. They enable efficient data flow and optimise technology infrastructure for enhanced business performance. Those in solution architecture at PwC will design and implement innovative technology solutions to meet clients' business needs. You will leverage your experience in analysing requirements, developing technical designs to enable the successful delivery of solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Platform and Integration Architecture team you are expected to develop and design solutions for our clients to address their business needs. As a Manager you are expected to lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are responsible for securing project success and maintaining exceptional standards, while motivating and inspiring others to deliver quality. Responsibilities * Develop and design solutions for clients * Lead teams and manage client accounts * Focus on strategic planning and mentoring junior staff * Assure project success and maintain exceptional standards * Motivate and inspire team members to deliver quality * Supervise, develop, and coach team members * Oversee client service accounts and engagement workstreams * Independently solve and analyze complex problems What You Must Have * Bachelor's Degree * 5 years of experience * Bachelor's degree or in lieu of a degree, demonstrating three years of specialized training and/or progressively responsible work experience in technology for each missing year of college What Sets You Apart Demonstrates extensive ability to design, build, and operate Azure Landing Zone architectures, including management groups, subscriptions, networking, security controls, and policy enforcement. Demonstrates the ability to design and support tenant-as-a-service capabilities that enable engineering teams to provision secure and compliant Azure environments through standardized, self-service workflows. Demonstrates extensive ability to lead large-scale cloud migration and modernization initiatives within Azure environments, including defining and applying migration patterns such as rehosting, replatforming, and refactoring. Demonstrates the ability to manage migration sequencing, cutover strategies, dependency planning, and operational readiness to support stable production outcomes. Demonstrates extensive knowledge of Azure architecture and hands-on technical execution across services such as virtual networking, identity and access management, Kubernetes services, application platforms, serverless functions, relational and NoSQL databases, and observability tooling. Demonstrates the ability to design, implement, and validate architecture decisions through hands-on technical contribution and technical review. Demonstrates extensive ability to architect, operate, and evolve Kubernetes-based container platforms using Azure Kubernetes Service (AKS), including cluster design, networking, ingress and traffic management, identity integration, autoscaling strategies, and security controls. Demonstrates extensive ability to design, build, and evolve internal developer platforms that integrate continuous integration and delivery pipelines, infrastructure as code, Kubernetes platforms, security controls, and service ownership models. Demonstrates the ability to design and implement workflow orchestration solutions that support tenant provisioning, environment creation, deployment, and platform automation. Demonstrates extensive ability to design, build, and maintain continuous integration and continuous delivery pipelines, including reusable workflows and GitOps-based deployment patterns. Demonstrates the ability to define standardized, self-service deployment workflows that support both application and infrastructure delivery while improving consistency and developer productivity. Demonstrates extensive ability to develop and govern infrastructure as code solutions using tools such as Terraform and native Azure provisioning technologies, including the creation and maintenance of reusable modules. Demonstrates the ability to enforce infrastructure standards, embed policy and compliance controls, and review code changes to ensure quality, correctness, and adherence to governance requirements. Demonstrates extensive ability to contribute as a hands-on engineer by developing platform services, automation, and proof-of-concept solutions using programming languages such as Python and Go. Demonstrates the ability to apply engineering best practices, including unit testing, maintainable code design, and disciplined source control practices. Demonstrates extensive ability to lead and mentor engineering team members by providing technical guidance, coaching, and ongoing feedback. Demonstrates the ability to establish and uphold engineering standards, conduct design and code reviews, and support continuous improvement in technical practices across teams through leadership by example. The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: . Learn more about how we work: For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines:

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your role and responsibilities We are in search of a skilled Consultant Data Engineer to join our expanding team of experts. This role will be pivotal in the design and development of Snowflake Data Cloud solutions, encompassing responsibilities such as constructing data ingestion pipelines, establishing sound data architecture, and implementing stringent data governance and security protocols. The ideal candidate brings experience as a proficient data pipeline builder and adept data wrangler, deriving satisfaction from optimizing data systems from their foundational stages. Collaborating closely with database architects, data analysts, and data scientists, the Data Engineer will play a crucial role in ensuring a consistent and optimal data delivery architecture across ongoing customer projects. This position demands a self-directed individual comfortable navigating the diverse data needs of multiple teams, systems, and products. If you are enthusiastic about the prospect of contributing to a startup environment and supporting our customers in their next generation of data initiatives, we invite you to explore this opportunity. This role can be performed from anywhere in the US Required technical and professional expertise * Bachelor's degree in engineering, computer science or equivalent area * 3+yrs in related technical roles with experience in data management, database development, ETL, and/or data prep domains. * Experience developing data warehouses. * Experience building ETL / ELT ingestion pipelines. * Proficiency in using cloud platform services for data engineering tasks, including managed database services (Snowflake and its pros and cons vs Redshift, BigQuery etc) and data processing services (AWS Glue, Azure Data Factory, Google Dataflow). * Skills in designing and implementing scalable and cost-effective solutions using cloud services, with an understanding of best practices for security and compliance. * Knowledge of how to manipulate, process and extract value from large disconnected datasets. * SQL and Python scripting experience require, Scala and Javascript is a plus. * Cloud experience (AWS, Azure or GCP) is a plus. * Knowledge of any of the following tools is also a plus: Snowflake, Matillion/Fivetran or DBT. * Strong interpersonal skills including assertiveness and ability to build strong client relationships. * Strong project management and organizational skills. * Ability to support and work with cross-functional and agile teams in a dynamic environment. * Advanced English required. Preferred technical and professional experience * Cloud Integration Knowledge: Exposure to integrating cloud computing concepts and technologies with Snowflake platforms, enhancing data and AI use case implementation. * Advanced Data Engineering: Experience working with data engineering principles and practices to deliver high-quality solutions on Snowflake platforms, leveraging expertise in Snowflake and cloud computing. * Technical Solution Optimization: Experience applying technical expertise to optimize solutions on Snowflake platforms, ensuring seamless integration and optimal performance for data and AI use cases. * AI Development Experience: Familiarity with leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate coding, debugging, and solution design within data engineering workflows. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? () If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (?subject=Accommodation%20request) (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: This senior level position supports the modeling of the Truist balance sheet with minimal supervision. The analyst will have extensive knowledge of Investments, loan products, deposits, long term debt products, and derivatives. The analysts will have experience forecasting net interest income and an understanding of the Company's sensitivity profile, duration gap analysis and other market value analytics. * Understanding how products are modeled in QRM in order to make improvements and add new products or techniques as necessary. * Analyzing risk exposures for products in different interest rate and stress testing environments. * Support monitoring and tracking of Investment and loan portfolios, deposit portfolios and long term debt overall as well as focus on understanding the specific attributes of these products. * Contribute towards analysis of key assumption sensitivities relevant to these products. * Perform analytical review of the products and understand key measures/drivers of interest rate risk. * Collaborate with internal resources and business partners to identify and implement improvements to existing data and analyses as well as support reconciliation efforts. * Producing reports to summarize balance and income forecast sensitivity profile and interest rate risk metrics. * Working with business units to create, support and document modeling assumptions. * Assist with CCAR modeling and testing as needed. * Work in SQL / Python / VBA and other querying language * 6+ years of experience in one or a combination of the following: finance, accounting, analytics and reporting; or a BS/BA degree or higher in Finance, Accounting, Statistics, Economics, Business * 4+ years of experience in one or a combination of the following: finance, accounting, analytics or reporting * Intermediate to Advanced knowledge of Microsoft Excel * A Masters of Business Administration (MBA) or Chartered Financial Analyst (CFA) Designation * General ledger experience * VB (Visual Basic) experience * Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills * Knowledge and understanding of asset liability or liquidity management software, especially QRM * Knowledge and understanding of financial analysis, forecasting and analyzing interest income and balance sheet behavior * Strong analytical skills with high attention to detail and accuracy * Experience in financial statements, projections and financial modeling * Hyperion Essbase experience * Asset and Liability Management (ALM) experience * SQL and other querying language General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site () . Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law () E-Verify () IER Right to Work ()

Java, JavaScript, Ruby, Python, JSON, Angular, NodeJS). Strong grasp of Java performance concepts (heap, GC) and critical monitoring metrics for Java apps. Years' experience in SRE, public & private cloud technologies, Java performance tuning, capacity optimization for mission critical applications.

Cross Margin Quantitative Model Developer. We are seeking a highly analytical Quantitative Model Developer with strong Python engineering skills and deep familiarity with cross margining concepts within prime brokerage and capital markets.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace.Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry

A financial firm is looking for a Full Stack Python/Django Engineer to join their team in Charlotte, NC.Compensation: $150-200K Responsibilities: Design and build modular, scalable services that power the product control platform's core functions: PnL calculation, adjustment workflows, segment mappi

Job Description Insight Global is looking for a QA Engineer to join on of our financial customers. This resource will be working on a large range of projects requiring manual, automation and database testing experience. The individual must have an urge to learn new skills as they will be joining a very fast pace environment that does not allow for handholding. This is a long term position and does require someone to be onsite 2x a week. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: . Skills and Requirements • 5+ years of experiene with QA engineering, • Both functional and automation experience required, • Experience with database and ETL testing, • Advance SQL exeprience (complex queries, joins, tables, etc.), • Understanding of databases, • Strong Python experience, • Understanding of AI agents and AI prompting, • Experience with APIs, • Agile environment

Proven experience automating cybersecurity processes (IAM lifecycle, PAM operations, compliance checks, incident enrichment/response, vulnerability workflows). Senior Python Developer – Cybersecurity Process Automation Location: Charlotte, NC Duration: 21 Months+ Extension Hourly Rate: Depending o