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Technical Architect

$63 per hour

MACHINE LEARNING TECHNOLOGIES LLC

Job Description Job Overview Job ID: J54117 Job Title: Technical Architect Location: Dover, DE Duration: 8 Months + Extension Domain Exposure: Pharmaceuticals Client: To Be Discussed Later Employment Type: W-2, 1099, C2C Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other Bill Rate: 63$/hour (C2C) Job Summary: We are seeking an experienced Senior Technical Architect to lead the design, modernization, security, and integration of large-scale, mission-critical enterprise systems. The ideal candidate will have strong hands-on experience in enterprise architecture, cloud platforms, systems integration, cybersecurity, and legacy modernization. The role involves defining technical architecture, guiding implementation teams, ensuring security and compliance, and providing technical leadership across complex, highly available systems. Key Responsibilities Define enterprise and solution architecture for complex, integrated systems. Design and implement scalable cloud and hybrid architectures using AWS, Azure, or GCP. Lead API integrations, microservices, event-driven architecture, and enterprise application modernization. Establish security architecture incorporating Zero Trust, IAM, encryption, and network security. Ensure alignment with NIST, PCI DSS, CJIS, and other applicable security standards. Design high-availability, disaster recovery, and business continuity solutions. Lead legacy system modernization, including mainframe migration initiatives. Develop architecture diagrams, technical standards, and design documentation. Oversee technical vendors, system integrators, architecture reviews, and implementation activities. Collaborate with business and technical stakeholders to resolve complex architectural challenges. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. 10+ years of IT experience, including at least 5 years in technical architecture or senior technical leadership. Hands-on experience with AWS, Azure, or GCP. Strong knowledge of enterprise architecture, cloud infrastructure, APIs, microservices, and systems integration. Experience with cybersecurity frameworks such as NIST, IAM, and Zero Trust. Knowledge of networking, Linux/Windows environments, relational databases, and hybrid cloud. Experience with high-availability systems, disaster recovery, and legacy modernization. Experience managing technical requirements, vendors, and system integrators. Ability to pass criminal background checks and CJIS-level fingerprint screening. Preferred Qualifications Experience in government, transportation, DMV, DOT, transit, or tolling environments. Knowledge of ITS, CAD/AVL, GTFS, AAMVA, or tolling systems. Experience with mainframe/COBOL modernization. Familiarity with PCI DSS, FedRAMP, StateRAMP, and OT/ICS security. Experience with API management, Infrastructure as Code, CI/CD, and containerization. Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law. #J-18808-Ljbffr MACHINE LEARNING TECHNOLOGIES LLC

Vacancy posted 2 days ago
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