918 jobs found

Job Description Job Titl e : .NET/MAUI Developer - Embedded UI Location: Fond du Lac, WI, USA K ey Responsibilities: Develop and maintain user interfaces for embedded display systems using .NET and MAUI frameworks. Integrate Bluetooth connectivity features for seamless device communication. Collaborate closely with UI/UX designers using tools such as MIRO and Figma to translate designs into functional, high-quality code. Participate in the entire software development lifecycle, including design, development, testing, deployment, and maintenance. Utilize DevOps practices and tools to ensure continuous integration, delivery, and deployment. Troubleshoot and resolve issues related to embedded UI performance, responsiveness, and usability. Work cross-functionally with product managers, hardware engineers, and other stakeholders to deliver customer-centric solutions. Travel to customer locations as needed to support deployments, gather requirements, or provide on-site troubleshooting. Required Qualifications: Strong proficiency in .NET and MAUI for cross-platform UI development. Experience with Bluetooth protocol integration and related technologies. Demonstrated ability to develop UI for embedded systems and displays

Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.

Job Description JOB SUMMARY: The Lead Database Engineer and Administrator serves as the high-level technical authority for software engineering on a Tech Refresh contract based in Colorado Springs, Colorado. This role provides deep technical expertise in enterprise Oracle database architecture, development methodologies, system integration, and emerging technologies. The Senior Principal Software Engineer leads complex database design initiatives, advises leadership on technical strategy, and ensures engineering solutions meet mission, security, scalability, and performance requirements. The candidate collaborates closely with program leadership, architects, engineers, cybersecurity teams, and stakeholders to design and implement advanced software solutions supporting enterprise systems, cloud environments, and mission-critical platforms. This project delivers a mission-assured technical refresh of the CCIC2S Oracle database and RHEL operating environments, upgrading legacy systems to Oracle 19c and RHEL 9.7 while preserving full operational continuity. It includes comprehensive engineering, integration, cybersecurity, testing, and deployment activities to ensure zero data loss, improved performance, strengthened security, and seamless compatibility across all CCIC2S mission systems. Location will be north Colorado Springs initially and future work at Chidlaw and Peterson AFB occasionally. SUMMARY OF ESSENTIAL JOB FUNCTIONS: Technical lead experience to guide the database team, able establish priorities for tasking, and proactively address risks to achieve successful project outcomes. Serve as the primary subject matter expert for software engineering practices, frameworks, and architecture across programs and projects. Lead the design and development of Oracle Database Upgrade solution for a complex enterprise. Provide significant input into the technical solution design and architect the upgrade path for Oracle, including compatibility analysis, data migration strategies, and performance tuning. Provide input into the design for the RHEL migration plan, covering kernel compatibility, package updates, and security hardening. Be responsible for analyzing, creating, manipulating, and organizing database systems. Modify Oracle database schemas, static data load, and program documentation. Consolidate customer data to make it easily accessible and readable to users throughout their community. Work closely with the development team to update database storage architecture, troubleshoot technical issues, and create visual layouts to display data. Be responsible for developing strategic procedures and upgrades, improving database infrastructures, and managing DB systems configuration. Be handling a broad range of software and other programming tasks to ensure that their systems integrations are functional Be defining integration strategies and methods and then planning them in accordance with established deadlines and time schedules. Full life-cycle development including requirements analysis, architecture and design, coding, testing, integration, performance analysis and Data Migration Ensures software standards are met. Establish and maintain software development standards, coding guidelines, and best practices. Evaluate and recommend new technologies, tools, and frameworks to improve system capabilities and development efficiency. Support program managers and leadership with technical planning, system modernization strategies, and risk mitigation. Translate mission or business requirements into technical solutions and system designs. REQUIRED SKILLS AND EXPERIENCE: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field. 10+ years of software engineering experience including enterprise database development, design, debug, and integration of various technologies Active DoD Secret clearance at the time of application Certification Requirements: DoD 8570 IAT Level II and any Database Certification Requires a strong background in Oracle database development and Linux Experience with integration of COTS/GOTS/FOSS hardware and software into existing infrastructures. Experience with Oracle RMAN, Data Pump, GoldenGate, and Oracle Enterprise Manager. Experience of RHEL system administration, SELinux, systemd, and kernel tuning. Experience with Scripting/automation (Bash, Python, PowerShell). Knowledge of database performance tuning, backup/recovery, and disaster recovery concepts. Knowledge of the technology industry and the latest trends, as well as a strong command of programming languages or system codes. Familiarity with containerization (Docker) and virtualization (KVM/VMware) is a plus Be able to complete documentation and instructions for customers. Be able to properly evaluate sources of information to determine possible limitations in reliability or usability Strong verbal and written communication skills. Significant experience in installing, configuring, scripting, developing, testing and troubleshooting enterprise databases DESIRED SKILLS Knowledgeable of Java, VMWare Suite, Ansible Knowledge of storage, networking, and cyber to include STIGs. Ability to work independently and collaboratively with other teams. Significant relevant experience in supporting the sustainment of NISSC mission systems/subsystems. Experience with other relevant missions surrounding the NORAD-NORTHCOM, Air and Space missile warning. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. While performing the duties of this job, the employee is regularly required to: Remain in a stationary position for extended periods of time. Operate a computer, keyboard, and other office equipment using hands and fingers. Communicate effectively in person, over the phone, and through electronic means. Occasionally move about the office to access files, office equipment, and meeting spaces. Lift and/or move up to 15 pounds as needed. Maintain specific vision abilities, including close vision and the ability to adjust focus. The Perks Comprehensive medical, dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability Competitive Compensation Training and development programs Major offices stocked with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off

Job Description Sr. UX/UI Designer Miami - Onsite Simpro is trusted by thousands of field service businesses worldwide to run their operations. As our Senior UX Designer, you won't just ship screens - you'll raise the design bar across the entire product organization, setting the standards that everyone else builds from. Design authority, not just delivery. The AI era means more people than ever can generate UI. Your job is to ensure what gets built is intentional, cohesive, and genuinely good - through systems, standards, and the credibility to enforce them. What You'll Do Own and evolve Simpro's design system and component library, setting the standards that product managers and engineers use when they build UI themselves Define UX guidelines, principles, and governance frameworks so that design quality scales beyond the design team Lead user research initiatives - regular usability testing, discovery interviews, and insight synthesis - and turn findings into product direction Partner with product and engineering on complex, cross-product features: facilitating trade-off conversations and driving toward agreed solutions without losing user advocacy Prototype and validate new concepts fast, keeping pace with AI-accelerated development cycles Coach and mentor designers on best practices and evolve in the AI age Take concepts from wireframe through to polished, production-ready design - and into code when needed What You'll Bring 5+ years of UX/UI design experience, with meaningful time in B2B, B2C or SaaS A strong portfolio demonstrating systems thinking, not just polished screens Hands-on experience with AI design and prototyping tools (v0, Cursor, Figma AI, Claude, or similar) Confidence running your own research: recruiting, facilitation, synthesis Solid HTML, CSS/SASS, and JavaScript - you can talk code with engineers and build when you need to Outstanding written and verbal communication Our Core Values While experience in the above areas will be highly considered, it's important to note it will be secondary to the person with the right determination, attitude and compatibility. Our culture and core values are very important to us: We Are One Team We Are Customer Centric We Are Growth Minded We Are Accountable We Celebrate Success Simpro, AroFlo, BigChange & ClockShark are equal opportunity employers with a best-of-class onboarding program and supportive team environments. We embrace and support culture diversity and Equal Employment Opportunity. Aboriginals, Torres Strait Islanders and minority groups are encouraged to apply. .

Job Description Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.

Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.

Job Description Position Overview We are seeking a Developer to join our team. In this role, you will bring creative ideas to life by building high-quality, responsive, accessible, and reliable digital experiences. You will work closely with Creative, UX, Project Management, Account, Strategy, Editorial, and other teams to translate designs and requirements into digital solutions that perform as intended. To succeed in this role, you should have strong technical and problem-solving skills, exceptional attention to detail, and a collaborative mindset. You understand the purpose behind what you build, anticipate technical challenges, and recommend practical solutions that balance user experience, performance, feasibility, timing, and quality. You thrive in a fast-paced agency environment and take ownership of your work from development through launch. This is a development-first role that requires strong engineering fundamentals. AI tooling is used here to accelerate proven engineering practice, not to substitute for understanding the code you ship. Key Responsibilities Develop responsive, accessible, and reliable digital experiences based on approved designs, requirements, and technical specifications. Translate UX and creative designs into accurate, functional experiences while maintaining the intent and quality of the work. Write clean, maintainable, and reusable code that follows established development standards and best practices. Use AI-assisted development tools effectively and responsibly, applying the same standards of review, testing, and documentation to AI-generated code as to code written by hand. Take full ownership of all code submitted for review, regardless of how it was produced, and be able to explain, debug, and maintain it. Build with performance, usability, accessibility, security, scalability, and cross-browser compatibility in mind. Review project requirements and designs before development begins, proactively identifying technical dependencies, risks, assumptions, and opportunities. Provide informed input on technical feasibility, development approach, level of effort, and timing. Test and troubleshoot work thoroughly before formal QA and resolve defects efficiently, addressing root causes when possible. Follow established code review, version control, documentation, deployment, and quality-control processes. Perform all work through version control and the established deployment pipeline. Direct edits to staging or production environments are not permitted. C3 Maintain small, well-described, reviewable commits so that every change remains traceable, auditable, and reversible. Partner with QA and project teams to prioritize, resolve, and verify technical issues through completion. Collaborate with Creative, UX, Project Management, Account, Strategy, Editorial, and other disciplines throughout the project lifecycle. Communicate technical concepts clearly to technical and nontechnical team members and raise risks early with recommended solutions. Integrate approved third-party services, APIs, analytics, tagging, and other technologies as required by the assignment. Provide realistic development estimates and communicate changes, dependencies, or blockers that could affect scope or timing. Support launches and troubleshoot production issues to ensure digital experiences continue to perform as expected. Contribute reusable components, documentation, technical standards, and process improvements that increase development quality, consistency, and efficiency. Stay current on relevant technologies, accessibility practices, platform requirements, and evolving digital standards. Use only agency- and client-approved AI tooling, and never expose client code, unpublished content, regulated copy, or confidential data to unapproved services. Work within medical, legal, and regulatory review cycles, including the handling of ISI and safety content, approved claims copy, and change-control requirements. Follow established agency and client processes required for work within the regulated pharmaceutical and healthcare environment. The Ideal Candidate Bachelor's degree in Computer Science, Web Development, Interactive Media, a related discipline, or equivalent professional experience. Professional experience developing digital experiences within an agency or similarly fast-paced, collaborative environment. Strong knowledge of front-end technologies and practices, including HTML, CSS, JavaScript, and responsive development Strong, daily working command of Git, including feature branching, pull requests, meaningful commit messages, code review, conflict resolution, tagging, and rollback. Comfortable working in a shared repository alongside multiple contributors. Able to read, debug, and reason about unfamiliar code, including code they did not write. Practical experience with AI-assisted coding tools, such as Claude Code, GitHub Copilot, or Cursor, used within a version-controlled and peer-reviewed workflow. Sound judgment about where AI accelerates delivery and where it introduces risk, together with the fundamentals to tell the difference. Working knowledge of accessibility standards (WCAG 2.2 AA), browser compatibility, performance optimization, debugging, testing, and QA practices. Ability to interpret designs, UX specifications, functional requirements, and documentation translating them into high-quality digital experiences. Strong problem-solving skills with the ability to anticipate technical challenges and develop practical solutions. Highly detail-oriented with a strong commitment to quality and accuracy. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly to nontechnical colleagues. Highly organized, with the ability to manage multiple assignments and priorities while meeting agreed deadlines. Comfortable working independently while collaborating effectively across multidisciplinary teams. Curious and committed to continuous learning as technologies and digital standards evolve. Experience working in pharmaceutical, healthcare, or another regulated industry is a plus. Technical Environment WordPress and PHP, including custom theme development and Advanced Custom Fields (ACF) Pro. Gravity Forms, Bootstrap, and SCSS, supported by front-end build tooling and local development environments. Managed hosting platforms including Pantheon, WP Engine, and Kinsta. Git-based workflows with peer code review and pipeline-based deployment. Figma for design handoff, including component- and token-based design systems. - Moon Rabbit is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Moon Rabbit are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics, or any other protected status.

Job Description The Short Scoop This company is growing. Join a growing team that is building new products. This company is 30 years young and works on mission-critical software. This is not typical web development. You will write C and Java code that moves information between systems using TCP/IP, sockets, web services, and message queues, where reliability and performance truly matter. This is a great fit for an early-career engineer with a year or more of real experience who wants to go deeper into network and interface programming. You will be on a small, close-knit team that values mentorship and promotes from within. The last engineer we placed here was quickly promoted from junior level, creating this new role! It is a great place to grow your skills. Location: Woodridge, IL Status: Hybrid (3 days on site, 2 days remote) Why You Should Apply Help build a new commercial product line from the early stages Work on backend communication systems tied to software that supports public industries Solve meaningful technical problems across a long-standing, in-house developed product suite Small team with strong senior-level mentorship, where your work is seen and recognized Real growth path: junior engineers here get promoted Hybrid schedule with a stable, tenured team Outstanding benefits that include 100% medical paid by the company The outstanding benefits package includes the following 100% employer-paid medical, dental, and vision for employees and family Generous retirement contributions (profit sharing, pension, and safe harbor plans) Paid vacation, holidays, and PTO Hybrid work schedule after training Work-life balance exists here Additional bonus programs tied to performance and revenue Compensation range: 78,000 - $83,000 What You'll Be Doing: Develop and maintain C and Java code for communications interfaces in Unix/Linux environments Build and support interfaces using TCP/IP, sockets, Web Services (SOAP/REST), MQ-Series, and XML/JSON Troubleshoot existing solutions deployed across the customer base, including debugging running processes and diagnosing performance issues Take part in the full development cycle, from requirements gathering through design, coding, testing, deployment, and support Document procedures, share knowledge with teammates, and clearly communicate status to management About You Be able to do the job as described. Degreed in computer science or related field of study 1 to 3 years of hands-on, professional software development experience (this is not an entry-level role) C and Java programming experience in a Unix or Linux environment. Stronger C is preferred, but being really strong in one and lighter to the other is okay Solid understanding of TCP/IP and socket programming Solid understanding of Web Services (SOAP or RESTful) Proficient with JSON, XML, XSD, and XSLT Comfortable debugging live processes and digging into complex problems that are hard to analyze Self-directed, organized, and a clear communicator, both verbally and in writing Available for occasional after-hours work for project cutovers and support, and light travel (less than 10%) College degree in a related field of study Nice to Have Tomcat or another servlet container, SQL, ODBC/JDBC Git, command-line tools, and scripting (Unix shell, Perl, awk) Experience with software development testing We appreciate every person who takes the time to apply. While we may not be able to respond personally to every applicant, we will contact those whose experience most closely aligns with the requirements of the role. How To Apply We'd love to see your resume, but we don't need it to have a conversation. It is as easy as one, two, three! Send an email directly to me at teambradley123 (at) gmail (dot) com and tell me why you're interested. Message me here on LinkedIn. If you do have your resume ready to go, apply now on this site. Sponsorship required now or in the future is not an option for this role. US Citizen or Green Card candidates only. This client is an Equal Opportunity Employer This is NOT A REMOTE ROLE! TBI ID: 26-15040, Software Engineer

Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.

Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.

Job Description Cohu is a global supplier of semiconductor test and automation equipment. In this role you will build and sustain software that controls complex electro-mechanical test handlers used in high-volume semiconductor manufacturing. Position Summary Design and develop proprietary Windows desktop application and framework software for control machines, automation systems, and complex electro-mechanical platforms - including motion controllers, I/O systems, sensors, machine vision systems, robotics, and barcode readers. This role spans full lifecycle development-from architecture and design through integration, deployment, and customer support-focused on uptime, safety, and predictable behavior. This position is ideal for engineers who enjoy building large software systems that interact with sophisticated industrial equipment. Essential Functions / Responsibilities Design, develop, test, and integrate machine control software using C++ and C# in a Visual Studio environment. Develop automation software using object-oriented design principles and software design patterns. Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and other industrial devices through vendor-provided Windows APIs and SDKs. Drive system architecture, interface definitions, and software design reviews; establish patterns that scale across product variants. Own customer escalation response: troubleshoot issues using logs, instrumentation, and on-equipment debugging; deliver corrective actions and prevention plans. Partner with Manufacturing and Field Service to resolve production-line and installed-base issues, restore system uptime, and improve reliability. Build verification strategies that push failure detection upstream (simulation, automated system tests, regression suites) and reduce re-occurrence. Interface with customers and cross-functional teams (EE/ME/Test/Apps) to align requirements, integration plans, and release readiness. Mentor engineers through code reviews, design feedback, and technical coaching. Required Qualifications Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related field. 10+ years of professional software engineering experience, including substantial work on automation, machine control, or complex electro-mechanical systems. Expert C/C++ skills with object-oriented design (OOD) and design patterns; ability to write maintainable, testable, production-quality code. Strong experience developing on Windows desktop applications using Visual Studio; familiarity with C# for tooling, diagnostics, or UI is preferred. Experience developing multithreaded software and event-driven software. Experience integrating external hardware using Windows APIs, SDKs, or communication libraries. Proficiency with version control and collaborative development workflows (Git preferred): code reviews, branching strategies, and disciplined change management. Demonstrated ability to troubleshoot and resolve field issues, including root-cause analysis and implementing corrective/preventive actions. Strong written and verbal communication skills; comfortable presenting designs and status to technical and non-technical stakeholders. Relevant Domain Experience (Any of the Following) Semiconductor equipment, test handlers, ATE integration, or factory automation environments. Comparable experience in industrial automation, robotics, medical devices, or high-volume product engineering with electro-mechanical systems. Preferred / Additional Skills (Highly Beneficial for Test Handler Software) State machine development, event-driven software architecture, machine sequencing, hardware integration through vendor API, motion control APIs, machine vision integration. Hardware/software integration experience (MCU/SoC peripherals, serial buses, timing/latency considerations) and familiarity with common interfaces (RS-232/RS-485, USB, Ethernet, TCP/IP, CAN, I2C, SPI). UI development experience for operator/service tools (WPF, WinForms, or Qt); ability to build effective diagnostics and recovery workflows. Build and release tooling: CI/CD pipelines (e.g., Jenkins), automated test execution, packaging/deployment, and traceable release documentation. Experience with factory/equipment communication standards such as SECS/GEM and related SEMI standards (e.g., E5/E30/E37/HSMS) and/or equipment performance tracking. Experience with simulation or hardware abstraction techniques that enable development and testing before hardware availability. Scripting and data analysis for troubleshooting (e.g., Python) and familiarity with issue tracking (e.g., Jira). Understanding of machine safety concepts: interlocks, e-stops, safe-state design, and failure modes; exposure to functional safety standards (e.g., ISO 13849) is a plus. What Success Looks Like You deliver reliable software that maintains throughput and uptime in production environments. You design scalable software architectures used across multiple products. You reduce escalation frequency by improving diagnosability and recovery behavior. You improve development velocity through pragmatic architecture, automation, and strong engineering hygiene. You mentor engineers and elevate software engineering standards across the organization. You collaborate effectively across disciplines and communicate trade-offs clearly Job Conditions / Additional Information Occasional domestic and international travel may be required (approximately 10%). Work involves extended periods at a computer workstation and may include time in manufacturing areas or at customer sites when supporting escalations. Compensation: The estimated base pay range for this position is $113,000-170,000 per year, depending on qualifications, experience, education, and other job-related factors. This range represents Cohu's good faith estimate of what it reasonably expects to pay for this role upon hire. This role may also be eligible for other compensation programs as determined by company policy. Featured benefits Medical, dental & vision insurance 401(k) with company matching contributions Employee Stock Purchase Plan Tuition assistance Disability & life insurance Profit Sharing With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice. Connect with Cohu Connect with your future Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category. In addition, reasonable accommodations are available to qualified disabled individuals, upon request. Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.

Job Description Role: Software Engineer Location: Fairfax, VA or Denver, CO Clearance: TS/SCI Salary: $130,000 - $200,000 plus 50% Employer Funded Package We are searching for a Software Engineer to join a highly regarded technology organisation delivering mission-critical solutions across the US Intelligence and National Security community. This position will focus on developing and maintaining advanced software solutions supporting communications, signal processing and intelligence systems. The ideal candidate will have strong Python development experience within Linux environments, with an interest in working on complex technical projects supporting national security operations. KEY RESPONSIBILITIES Design, develop, test and maintain software applications supporting mission-critical intelligence and communications systems. Develop and implement software solutions primarily using Python within Linux environments. Build and maintain secure web-based interfaces for monitoring and controlling signal processing systems. Support software integration, debugging, troubleshooting and performance optimisation. Manage software configurations, application deployments and system baselines. Collaborate with multidisciplinary engineering teams throughout the software development lifecycle. TECHNICAL REQUIREMENTS 5+ years of professional software engineering experience, ideally within defence, intelligence or similarly complex technical environments. Strong programming experience with Python. Hands-on experience developing and supporting software within Linux environments. Experience across software design, implementation, testing and debugging. Understanding of networking protocols, encryption and secure software development practices. Experience with web application development and associated technologies would be beneficial. BENEFICIAL Additional programming experience with Java, C or C++. Experience with Django, Flask, JavaScript, XML or MySQL. EDUCATION & CLEARANCE Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline is required Active TS/SCI security clearance is mandatory. If you're a Software Engineer with strong Python and Linux experience and an active TS/SCI clearance, we'd welcome a confidential conversation. Apply today or get in touch to learn more!

Job Description Hiring: Data Engineer/ Big Data Developer Location: Chantilly, VA (100% Onsite) Employment Type: Full-Time Security Clearance: Active CI Polygraph Required Working Hours: 9:00 AM - 3:00 PM EST Bonus: Performance-Based Job Summary: We are seeking an experienced Data Engineer with 10+ years of software development/programming experience to design, develop, and optimize large-scale data ingestion, ETL, data transformation, and processing solutions in a Big Data environment. Key Responsibilities & Required Skills: Design and optimize large-scale data ingestion, ETL, data extraction, cleansing, transformation, and data loading pipelines. Strong programming experience in Python and/or Java , with advanced SQL and database knowledge. Hands-on experience with Python technologies, including environment management, asynchronous development, FastAPI, and REST APIs . Experience with Big Data environments and the complete data lifecycle, from data ingestion to visualization. Strong experience with Apache Airflow , ETL development, and Linux-based environments. Develop data profiling, deduplication, matching logic, and custom data integration solutions. Leverage Big Data for AI/ML-based analytics and collaborate with Data Scientists to support AI/ML workflows. Maintain data layer documentation and perform basic Linux server administration. Preferred Skills: Experience deploying AI/ML-enabled solutions. Experience creating and publishing BI dashboards. Minimum Qualification: High School Diploma/GED with 10+ years of relevant software development experience

Job Description AI ML Engineer Intern - Winter / Spring 2027 (Master's or PhD) Salary: $25 - 30/ hr About Akoncagua AI Akoncagua AI builds domain-specialized AI systems for technically demanding industries. Our work includes LLMs, multimodal AI, agentic automation, RAG, evaluation, and production AI infrastructure. We are seeking an AI Automation Engineer Intern to help build secure, reliable AI agents and automated workflows for accounting and enterprise finance. What you'll work on Build and improve LLM agent workflows for document intake, classification, and transaction coding Develop document-intelligence pipelines for invoices, receipts, contracts, and financial statements Implement retrieval over accounting policies, vendor records, and historical transactions Write evaluation harnesses that measure extraction accuracy, classification quality, and end-to-end workflow outcomes Add tracing and observability for prompts, tool calls, failures, latency, and cost Integrate agents with accounting platforms, databases, and internal APIs Required qualifications Currently enrolled in a Master's or PhD program in Computer Science, AI/ML, or a related technical field, or equivalent practical experience Strong Python skills, plus solid fundamentals in data structures, debugging, and testing Experience building LLM-based applications, whether through coursework, research, personal projects, or internships Familiarity with at least one agent framework such as LangGraph, AutoGen/AG2, Semantic Kernel, or the OpenAI Agents SDK Working knowledge of RAG and vector databases Comfortable with Docker and version control in a collaborative codebase Preferred qualifications Experience with MCP or similar tool-integration standards Experience with n8n, Zapier, Make, or event-driven automation Exposure to FastAPI, PostgreSQL, pgvector, or Kubernetes Interest in or exposure to accounting concepts such as double-entry bookkeeping, journal entries, reconciliations, or approval controls Awareness of prompt-injection risks, least-privilege design, and secrets management Strong understanding of multi-GPU Linux server environments, with hands-on experience configuring, managing, and effectively utilizing GPU resources. Open-source contributions or publications at AI conferences How we work We care about researchers and engineers who understand and can defend the design decisions in their code. AI coding tools are welcome here, but you should be able to explain why a system works the way it does, what evidence supports it, and where it breaks. Our work connects model research with the systems required to run it. You will have room to explore new ideas, but you will also be expected to build working implementations, measure them carefully, and communicate their limitations clearly.

Job Description Job Description: Data Scientist - Fraud Analysis Location: Austin, TX / Boston, MA / Chandler, AZ / Chicago, IL / Conshohocken, PA / Los Angeles, CA / Miami, FL / New York City, NY / Omaha / La Vista, NE / Plymouth Meeting, PA / San Francisco, CA / San Jose, CA / Scottsdale, AZ / Washington, D.C. / Wilmington, NC Job Type: Full-Time Roles & Responsibilities: As a member of the Fraud Analytics team, you will be responsible for identifying, investigating, and mitigating fraudulent activities using advanced data methodologies: Core Analytical & Comparison Tasks: Compare outputs of two systems or data sources that should behave the same, isolate the differences, and document root causes and thresholds. Strategy & ML Collaboration: Investigate suspicious transactions to determine root causes. Be comfortable working alongside an ML team and experienced in evaluating model performance. Fraud Assessment & System Development: Conduct in-depth assessments on evolving trends (including merchant fraud, first-party, and third-party fraud). Design and implement fraud rules within workflow systems and build comprehensive monitoring reports. Stakeholder Management: Generate high-impact reports and presentations for management, outlining risks, incidents, and effective mitigation strategies. Cross-Functional Collaboration: Partner with Risk, Operations, and Compliance teams to strengthen the overall fraud prevention ecosystem. Market Intelligence: Stay ahead of industry trends, regulatory shifts, and global best practices to continuously refine fraud prevention strategies. Technical & Professional Skills: Domain Expertise: Proven experience in Fraud Mitigation, First-Party Fraud, Transactional Fraud, Merchant Fraud, and Digital Fraud Detection. Technical Stack: Proficiency in Python and SQL on BigQuery and Jupyter notebook experience, then experience with rules management (reading, comparing, and translating rule logic). Analytical Rigour: Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance standards. Communication: Ability to distill complex data insights into clear, concise, and actionable presentations for leadership. Qualifications Education: Bachelor's degree in engineering, Technology, Computer Science, or a related quantitative field. Experience: 3+ years of dedicated data analytics experience specifically within fraud prevention or risk management. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf

Job Description Software Engineer - .NET / C# Location: Greensburg, PA (Local Candidates Required); ONSITE Employment Type: Full-Time; No visa sponsorship available About the Opportunity Murtech Staffing & Solutions is seeking a talented and motivated Software Engineer to join our client's development team in the Pittsburgh area. This is an exciting opportunity for a creative, detail-oriented developer who enjoys solving complex technical challenges and contributing to innovative software solutions. In this role, you will work in a Microsoft .NET development environment , designing and building web-based applications. You'll have the opportunity to contribute throughout the entire software development lifecycle, from initial design and development through testing and deployment. If you're a self-starter who thrives in a collaborative, small-team environment and enjoys taking ownership of challenging projects, we'd love to hear from you! Key Responsibilities Design, develop, and maintain web-based software applications using Microsoft .NET technologies. Develop solutions using C#, ASP.NET, Visual Studio, HTML, CSS, and TypeScript . Collaborate with a small development team to design and build a comprehensive new software toolset. Participate in all phases of the software development lifecycle, including design, coding, testing, and deployment. Develop and execute software test cases to ensure application functionality, reliability, and quality. Create and maintain technical design documentation, specifications, and test plans. Analyze complex technical requirements and translate them into effective software solutions. Estimate development tasks and contribute to project planning and delivery timelines. Troubleshoot, debug, and enhance existing applications. Required Qualification s Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, Physics, Engineering, or a related technical discipline . Minimum 3.5 GPA . Experience or strong academic background in software development using Microsoft .NET technologies. Knowledge of C#, ASP.NET, HTML, CSS, TypeScript, and Visual Studio . Strong analytical and problem-solving skills, including the ability to understand complex engineering and mathematical concepts. Solid understanding of softwar

Job Description Role Overview: The Vice President, Workforce Identity and Directory Services, serves as the primary owner of all Active Directory-related infrastructure and strategy. This role leads the design, governance, and modernization of the enterprise identity platform across on-premises, hybrid, and cloud environments. The VP is responsible for developing long-term technology roadmaps, driving security best practices, and partnering with Security, Infrastructure, and Application teams to deliver scalable, resilient identity services aligned with business objectives. Key Responsibilities: Serve as the primary owner and point of contact for all Active Directory infrastructure, strategy, and operations across on-premises and cloud environments. Lead and execute a long-term technology roadmap to modernize the Active Directory environment, including forest and domain consolidation, AD tiering model implementation, strategic reduction and decommissioning of on-premises domain controllers, and accelerating workload migration from on-premises AD to Microsoft Entra ID. Architect and govern enterprise Active Directory Domain Services (AD DS), Active Directory Certificate Services (AD CS), DNS, and DHCP, PKI, ensuring high availability, disaster recovery readiness, and security at scale. Drive the adoption and optimization of Microsoft Entra ID security features, including Conditional Access, Identity Protection, Identity Governance, Workload Identities, and Entra Permissions Management. Govern Entra ID external collaboration and application identity, including cross-tenant access policies, B2B guest account lifecycle, app registration and enterprise application management, API permission and consent policy governance, and service principal security and credential rotation. Manage hybrid Active Directory environments, including Azure AD Connect / Cloud Sync configuration, seamless SSO, pass-through authentication, and directory synchronization health monitoring. Design and enforce Group Policy architecture at scale, including GPO lifecycle management, security baselines, and policy inheritance strategies across complex OU structures. Establish and enforce identity security best practices, policies, and standards across the organization in alignment with zero trust principles and AD tiering models (Enhanced Security Admin Environment). Oversee Kerberos, NTLM, LDAP, and certificate-based authentication protocols, driving migration away from legacy protocols toward modern authentication standards. Lead AD Forest and domain trust management, replication topology optimization, Sites and Services configuration, and schema extension governance. Partner with Security, Compliance, and Risk teams to ensure identity infrastructure meets regulatory and audit requirements, including SOX, NIST, and industry-specific mandates. Oversee incident response, disaster recovery, and root cause analysis for identity-related security events, AD replication failures, and service disruptions. Evaluate emerging identity technologies and industry trends including passwordless authentication, decentralized identity, and AI-driven threat detection to inform strategic planning and investment decisions. Required Qualifications: 10+ years of progressive experience in IT infrastructure with a focus on Active Directory and identity management, including at least 5 years in an architect or senior engineering capacity. Deep knowledge of Microsoft 365 from an identity and access management perspective, including Exchange Online, SharePoint Online, and Teams integration with Entra ID, M365 group and license management, app consent frameworks, service principals, and Microsoft 365 Defender for identity-related threat detection. Deep fluency in authentication and federation protocols, including SAML, OAuth 2.0, OpenID Connect, WS-Federation, Kerberos, LDAP, and NTLM, with a track record of migrating environments away from legacy protocols. Experience implementing passwordless authentication strategies, including FIDO2, Windows Hello for Business, and certificate-based authentication via PKI. Hands-on experience with Active Directory security assessment and hardening tools such as BloodHound, PingCastle, and Purple Knight for attack path analysis and security posture evaluation. Knowledge of service account governance, including Group Managed Service Accounts (gMSA), and endpoint security tooling such as LAPS. Proficiency with PowerShell, Terraform, DSC, and Microsoft Graph API for identity infrastructure automation, reporting, and configuration drift detection. Working knowledge of NIST, SOX, or other regulatory compliance frameworks as they relate to identity management and PKI governance. Microsoft certifications such as Microsoft Certified: Identity and Access Administrator Associate, Azure Solutions Architect Expert, or Cybersecurity Architect Expert. Proven track record of building, mentoring, and managing high-performing identity engineering teams. Excellent communication and stakeholder management skills, to include translating complex identity concepts for non-technical audiences and influence at all levels of the organization. Preferred Qualifications: Identity architecture and strategic technology vision Enterprise security and zero trust mindset Deep technical problem solving across complex, multi-forest AD environments Stakeholder management and executive communication Strong ownership, accountability, and bias toward action Experience in financial services, private equity, or other highly regulated industries.

Job Description Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight - the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms - from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered - at a startup, at a large company, or somewhere in between - and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture Build scalable frontend platforms using React, Next.js, and TypeScript. Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns. Develop reusable component systems and scalable frontend frameworks. Backend Engineering Build backend services using Node.js and NestJS. Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems. Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems. Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments. Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: You have designed and operated event-driven distributed systems that process high-volume real-time data. You have a deep understanding of algorithms, data structures, and time complexity - and you apply that understanding to build systems, not just pass interviews. You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production. You have hands-on experience with message queues, streaming platforms, and asynchronous workflows - Kafka, Azure Service Bus, BullMQ, or similar. You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability. You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure. You design systems end-to-end and take ownership of architecture and production outcomes - not just the code you wrote. You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making. You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3 Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM Event-Driven: Kafka, Azure Service Bus, Azure Event Grid Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux Data: SQL, NoSQL, Azure Data Fabric Compensation: $75 - $85 / Hour Our Process 15-minute video call with someone from our team 4 Proctored GQ Tests (under 2 hours) 30-45-minute final video interview Job offer If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.