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.
11/14/2026
Full time
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
11/14/2026
Full time
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
Delta Computer Consulting
Greensboro, North Carolina
Job Description Compensation & Location Location: Greensboro, NC Work Type: Onsite - 4 days per week Pay Range: $41.00 - $48.00 per hour (based on experience, geographic region, job-related knowledge, skills & internal equity) ? Must be willing to work onsite 4 days per week in Greensboro, NC ? No 3rd Party Suppliers - C2C not accepted; Only W2 Position Summary We are seeking a skilled Business Intelligence (BI) Developer to support enterprise reporting, analytics, dashboard development, data validation, and business intelligence platform operations. This role focuses on developing and maintaining business reports, queries, dashboards, and reporting datasets using technologies such as Microsoft Power BI, SAP BusinessObjects, SAP Data Services, and Snowflake. The ideal candidate brings hands-on experience with modern data analytics and reporting tools, strong analytical and problem-solving skills, and the ability to independently manage daily reporting activities and assigned projects. This individual will collaborate with business stakeholders, functional teams, and IT resources to translate reporting requirements into actionable insights, maintain data accuracy, support ETL processes, and improve enterprise analytics capabilities. Key Responsibilities Develop, maintain, and enhance enterprise business reports, queries, and dashboards Create and modify SAP BusinessObjects reports and universes Develop and support Power BI dashboards, reports, visualizations, and data models Work with business users to gather reporting requirements and understand analytical needs Support KPI reporting, operational metrics tracking, and business performance analysis Validate report accuracy, data integrity, and reporting consistency before delivery Assist users with reporting requests, data analysis, and troubleshooting Monitor and troubleshoot ETL processes and data integration workflows Support SAP Data Services job execution, maintenance, and troubleshooting Perform data validation, reconciliation, and quality checks across reporting datasets Assist with maintaining data warehouse structures and reporting datasets Support reporting and analytics activities involving Snowflake Develop and maintain documentation for data flows, report logic, ETL processes, and recurring support procedures Collaborate with functional teams to identify reporting gaps and improvement opportunities Participate in enterprise analytics, reporting modernization, and data integration initiatives Provide training and assistance to business users consuming reports and dashboards Maintain BI documentation, reporting standards, and technical knowledge articles Troubleshoot reporting issues and recommend solutions to improve performance and reliability Communicate project progress, reporting issues, and support status to supervisors and business stakeholders Independently manage assigned reporting tasks, daily operations, and project deliverables What This Person Will Be Working On Power BI Dashboard Development: Creating and maintaining interactive dashboards, visualizations, and data models for business users SAP BusinessObjects Reporting: Developing and modifying reports, queries, and universes to support enterprise reporting SAP Data Services & ETL: Monitoring data integration jobs, troubleshooting ETL processes, and supporting data transformations Snowflake & Data Warehousing: Supporting reporting datasets, warehouse structures, and data validation activities Enterprise Reporting & Analytics: Delivering accurate business reports, operational metrics, and KPI dashboards Data Quality & Reconciliation: Validating data integrity, investigating discrepancies, and ensuring reporting accuracy Business Requirements Gathering: Working with stakeholders to understand reporting needs and recommend analytical solutions BI Platform Support: Supporting reporting operations, troubleshooting technical issues, and maintaining documentation Analytics Improvement Initiatives: Participating in reporting enhancements, data integration projects, and dashboard modernization Business User Support: Assisting users with reporting requests, dashboard functionality, and analytical insights Required Skills & Experience Hands-on experience with Microsoft Power BI for reporting, dashboard development, and data visualization Strong understanding of business intelligence, reporting, and data analytics concepts Experience developing and maintaining business reports, queries, and dashboards Ability to create and modify data models and visualizations for business users Experience gathering business requirements and translating them into reporting solutions Strong analytical skills and ability to validate reporting accuracy and data integrity Understanding of ETL processes, data integration, and data warehousing concepts Experience performing data validation, reconciliation, and reporting quality checks Ability to troubleshoot reporting issues and support ongoing BI operations Strong documentation skills for reporting logic, data flows, and support procedures Ability to independently manage daily reporting tasks and assigned projects Strong communication skills with the ability to provide clear status updates to supervisors and business stakeholders Demonstrated ability to work collaboratively with technical teams and business users Strong problem-solving skills, attention to detail, and organizational capabilities Ability to work onsite 4 days per week in Greensboro, NC Desired Skills Experience with SAP BusinessObjects, including report development and universe maintenance Experience with SAP Data Services (BODS) for ETL monitoring, job execution, and troubleshooting Experience working with Snowflake or comparable cloud data warehouse platforms Knowledge of Power BI data modeling, DAX, and Power Query Experience with SQL for data extraction, querying, and validation Understanding of enterprise data warehouse architecture and reporting datasets Experience supporting enterprise BI platforms and reporting operations Knowledge of data integration, data quality, and reconciliation processes Experience developing operational KPI dashboards and performance reports Experience maintaining BI standards, documentation, and knowledge articles Background supporting reporting modernization or analytics improvement initiatives Experience providing reporting support and training to business users
11/14/2026
Full time
Job Description Compensation & Location Location: Greensboro, NC Work Type: Onsite - 4 days per week Pay Range: $41.00 - $48.00 per hour (based on experience, geographic region, job-related knowledge, skills & internal equity) ? Must be willing to work onsite 4 days per week in Greensboro, NC ? No 3rd Party Suppliers - C2C not accepted; Only W2 Position Summary We are seeking a skilled Business Intelligence (BI) Developer to support enterprise reporting, analytics, dashboard development, data validation, and business intelligence platform operations. This role focuses on developing and maintaining business reports, queries, dashboards, and reporting datasets using technologies such as Microsoft Power BI, SAP BusinessObjects, SAP Data Services, and Snowflake. The ideal candidate brings hands-on experience with modern data analytics and reporting tools, strong analytical and problem-solving skills, and the ability to independently manage daily reporting activities and assigned projects. This individual will collaborate with business stakeholders, functional teams, and IT resources to translate reporting requirements into actionable insights, maintain data accuracy, support ETL processes, and improve enterprise analytics capabilities. Key Responsibilities Develop, maintain, and enhance enterprise business reports, queries, and dashboards Create and modify SAP BusinessObjects reports and universes Develop and support Power BI dashboards, reports, visualizations, and data models Work with business users to gather reporting requirements and understand analytical needs Support KPI reporting, operational metrics tracking, and business performance analysis Validate report accuracy, data integrity, and reporting consistency before delivery Assist users with reporting requests, data analysis, and troubleshooting Monitor and troubleshoot ETL processes and data integration workflows Support SAP Data Services job execution, maintenance, and troubleshooting Perform data validation, reconciliation, and quality checks across reporting datasets Assist with maintaining data warehouse structures and reporting datasets Support reporting and analytics activities involving Snowflake Develop and maintain documentation for data flows, report logic, ETL processes, and recurring support procedures Collaborate with functional teams to identify reporting gaps and improvement opportunities Participate in enterprise analytics, reporting modernization, and data integration initiatives Provide training and assistance to business users consuming reports and dashboards Maintain BI documentation, reporting standards, and technical knowledge articles Troubleshoot reporting issues and recommend solutions to improve performance and reliability Communicate project progress, reporting issues, and support status to supervisors and business stakeholders Independently manage assigned reporting tasks, daily operations, and project deliverables What This Person Will Be Working On Power BI Dashboard Development: Creating and maintaining interactive dashboards, visualizations, and data models for business users SAP BusinessObjects Reporting: Developing and modifying reports, queries, and universes to support enterprise reporting SAP Data Services & ETL: Monitoring data integration jobs, troubleshooting ETL processes, and supporting data transformations Snowflake & Data Warehousing: Supporting reporting datasets, warehouse structures, and data validation activities Enterprise Reporting & Analytics: Delivering accurate business reports, operational metrics, and KPI dashboards Data Quality & Reconciliation: Validating data integrity, investigating discrepancies, and ensuring reporting accuracy Business Requirements Gathering: Working with stakeholders to understand reporting needs and recommend analytical solutions BI Platform Support: Supporting reporting operations, troubleshooting technical issues, and maintaining documentation Analytics Improvement Initiatives: Participating in reporting enhancements, data integration projects, and dashboard modernization Business User Support: Assisting users with reporting requests, dashboard functionality, and analytical insights Required Skills & Experience Hands-on experience with Microsoft Power BI for reporting, dashboard development, and data visualization Strong understanding of business intelligence, reporting, and data analytics concepts Experience developing and maintaining business reports, queries, and dashboards Ability to create and modify data models and visualizations for business users Experience gathering business requirements and translating them into reporting solutions Strong analytical skills and ability to validate reporting accuracy and data integrity Understanding of ETL processes, data integration, and data warehousing concepts Experience performing data validation, reconciliation, and reporting quality checks Ability to troubleshoot reporting issues and support ongoing BI operations Strong documentation skills for reporting logic, data flows, and support procedures Ability to independently manage daily reporting tasks and assigned projects Strong communication skills with the ability to provide clear status updates to supervisors and business stakeholders Demonstrated ability to work collaboratively with technical teams and business users Strong problem-solving skills, attention to detail, and organizational capabilities Ability to work onsite 4 days per week in Greensboro, NC Desired Skills Experience with SAP BusinessObjects, including report development and universe maintenance Experience with SAP Data Services (BODS) for ETL monitoring, job execution, and troubleshooting Experience working with Snowflake or comparable cloud data warehouse platforms Knowledge of Power BI data modeling, DAX, and Power Query Experience with SQL for data extraction, querying, and validation Understanding of enterprise data warehouse architecture and reporting datasets Experience supporting enterprise BI platforms and reporting operations Knowledge of data integration, data quality, and reconciliation processes Experience developing operational KPI dashboards and performance reports Experience maintaining BI standards, documentation, and knowledge articles Background supporting reporting modernization or analytics improvement initiatives Experience providing reporting support and training to business users
Global Connect Technologies
Warrendale, Pennsylvania
Job Description Job Title: Embedded SDV Lead Location: Warrendale PA Job Description We are seeking an experienced SDV Lead to define and drive the Software-Defined Vehicle (SDV) strategy, roadmap, and execution across vehicle platforms. The role requires strong program management, strategic planning, cross-functional leadership, and an understanding of automotive software architecture, connected vehicle technologies, and software lifecycle management. Key Responsibilities Define and drive the SDV vision, strategy, and execution roadmap aligned with business objectives and global OEM strategies. Translate business goals into prioritized initiatives, programs, milestones, and long-term software innovation plans. Lead SDV transformation across vehicle platforms, applications, and lifecycle capabilities. Identify and prioritize SDV use cases, including infotainment, OTA updates, digital keys, voice user interfaces, and connected vehicle services. Collaborate with engineering, product management, business, and digital teams to establish program priorities, KPIs, milestones, and delivery plans. Partner with engineering teams on SDV architecture, including central compute platforms, zonal architecture, vehicle operating systems, middleware, APIs, cloud connectivity, and OTA infrastructure. Align SDV platform planning with technologies and ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Drive collaboration with global engineering teams, Tier-1 suppliers, technology partners, and business stakeholders. Manage vehicle software lifecycle capabilities, including OTA updates, feature activation, subscription-based features, software monetization, release management, and post-launch monitoring. Develop business cases and ROI models for ECU consolidation, cost optimization, software reuse, subscription revenue, and feature monetization. Track value realization against business objectives, vehicle volumes, pricing strategies, and customer lifetime value. Establish governance frameworks for milestone tracking, risk management, executive reporting, and continuous improvement. Assess organizational capability gaps across embedded software, cloud technologies, DevOps, engineering automation, and validation and testing. Support SDV innovation labs, prototyping environments, and simulation and validation platforms while promoting software development best practices. Required Skills and Qualifications Strong experience in SDV strategy, program management, automotive software, or vehicle platform transformation. Understanding of automotive SDV architecture, central compute, zonal architecture, middleware, vehicle operating systems, and hardware-software decoupling. Knowledge of connected vehicle technologies, OTA updates, digital services, and software lifecycle management. Familiarity with automotive software ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Experience in cross-functional program planning, stakeholder management, risk mitigation, and executive reporting. Ability to develop business cases, ROI models, KPIs, and value realization plans. Understanding of embedded software engineering, cloud technologies, DevOps, and software validation processes. Strong strategic thinking, communication, leadership, and decision-making skills. Preferred Experience Experience working with automotive OEMs, Tier-1 suppliers, or connected vehicle technology partners. Exposure to subscription-based vehicle features, software monetization, and digital services. Experience leading large-scale automotive software transformation programs. Knowledge of industry trends, competitor benchmarking, and emerging SDV technologies.
11/14/2026
Full time
Job Description Job Title: Embedded SDV Lead Location: Warrendale PA Job Description We are seeking an experienced SDV Lead to define and drive the Software-Defined Vehicle (SDV) strategy, roadmap, and execution across vehicle platforms. The role requires strong program management, strategic planning, cross-functional leadership, and an understanding of automotive software architecture, connected vehicle technologies, and software lifecycle management. Key Responsibilities Define and drive the SDV vision, strategy, and execution roadmap aligned with business objectives and global OEM strategies. Translate business goals into prioritized initiatives, programs, milestones, and long-term software innovation plans. Lead SDV transformation across vehicle platforms, applications, and lifecycle capabilities. Identify and prioritize SDV use cases, including infotainment, OTA updates, digital keys, voice user interfaces, and connected vehicle services. Collaborate with engineering, product management, business, and digital teams to establish program priorities, KPIs, milestones, and delivery plans. Partner with engineering teams on SDV architecture, including central compute platforms, zonal architecture, vehicle operating systems, middleware, APIs, cloud connectivity, and OTA infrastructure. Align SDV platform planning with technologies and ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Drive collaboration with global engineering teams, Tier-1 suppliers, technology partners, and business stakeholders. Manage vehicle software lifecycle capabilities, including OTA updates, feature activation, subscription-based features, software monetization, release management, and post-launch monitoring. Develop business cases and ROI models for ECU consolidation, cost optimization, software reuse, subscription revenue, and feature monetization. Track value realization against business objectives, vehicle volumes, pricing strategies, and customer lifetime value. Establish governance frameworks for milestone tracking, risk management, executive reporting, and continuous improvement. Assess organizational capability gaps across embedded software, cloud technologies, DevOps, engineering automation, and validation and testing. Support SDV innovation labs, prototyping environments, and simulation and validation platforms while promoting software development best practices. Required Skills and Qualifications Strong experience in SDV strategy, program management, automotive software, or vehicle platform transformation. Understanding of automotive SDV architecture, central compute, zonal architecture, middleware, vehicle operating systems, and hardware-software decoupling. Knowledge of connected vehicle technologies, OTA updates, digital services, and software lifecycle management. Familiarity with automotive software ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Experience in cross-functional program planning, stakeholder management, risk mitigation, and executive reporting. Ability to develop business cases, ROI models, KPIs, and value realization plans. Understanding of embedded software engineering, cloud technologies, DevOps, and software validation processes. Strong strategic thinking, communication, leadership, and decision-making skills. Preferred Experience Experience working with automotive OEMs, Tier-1 suppliers, or connected vehicle technology partners. Exposure to subscription-based vehicle features, software monetization, and digital services. Experience leading large-scale automotive software transformation programs. Knowledge of industry trends, competitor benchmarking, and emerging SDV technologies.
Job Description ALINED Consulting Group is partnering with a financial services organization in Chicago seeking a Sr. Manager, Application Development to lead software engineering teams supporting Workday and other enterprise cloud-based applications. We're looking for a technical leader who has a strong foundation in software engineering and application development , along with experience supporting Workday HCM and Finance. This is not a traditional Workday functional or implementation management role. Key Responsibilities Lead a team of software developers and QA engineers responsible for developing, integrating, and supporting enterprise cloud applications. Provide technical direction across application architecture, software development, integrations, testing, deployment, and ongoing support. Oversee Workday HCM and Finance applications, determining when to leverage native Workday capabilities versus integrations or custom development. Partner with business stakeholders, architects, and technical teams to deliver scalable solutions. Drive Agile development practices, SDLC processes, CI/CD, and DevSecOps standards. What We're Looking For Strong background in software engineering , with proven experience managing application development teams. Technical experience with Workday HCM and/or Finance , including integrations and platform capabilities. Experience overseeing the development of multiple cloud-based applications. Understanding of AWS, .NET, APIs, application architecture, and modern development practices . Ability to evaluate technical solutions, guide developers, and make sound architectural decisions. Experience partnering with business stakeholders and leading enterprise application initiatives. Ideal background: Someone who started their career in software development, progressed into engineering leadership, and gained strong Workday technical expertise along the way.
11/14/2026
Full time
Job Description ALINED Consulting Group is partnering with a financial services organization in Chicago seeking a Sr. Manager, Application Development to lead software engineering teams supporting Workday and other enterprise cloud-based applications. We're looking for a technical leader who has a strong foundation in software engineering and application development , along with experience supporting Workday HCM and Finance. This is not a traditional Workday functional or implementation management role. Key Responsibilities Lead a team of software developers and QA engineers responsible for developing, integrating, and supporting enterprise cloud applications. Provide technical direction across application architecture, software development, integrations, testing, deployment, and ongoing support. Oversee Workday HCM and Finance applications, determining when to leverage native Workday capabilities versus integrations or custom development. Partner with business stakeholders, architects, and technical teams to deliver scalable solutions. Drive Agile development practices, SDLC processes, CI/CD, and DevSecOps standards. What We're Looking For Strong background in software engineering , with proven experience managing application development teams. Technical experience with Workday HCM and/or Finance , including integrations and platform capabilities. Experience overseeing the development of multiple cloud-based applications. Understanding of AWS, .NET, APIs, application architecture, and modern development practices . Ability to evaluate technical solutions, guide developers, and make sound architectural decisions. Experience partnering with business stakeholders and leading enterprise application initiatives. Ideal background: Someone who started their career in software development, progressed into engineering leadership, and gained strong Workday technical expertise along the way.
Job Description Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.
11/14/2026
Full time
Job Description Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.
Job Description Staff Infrastructure Engineer (AWS / Kubernetes / Terraform) New York City, 4 - 5 days Onsite $230,000 - $280,000 Base + Equity Want to lead a production AWS platform through a major infrastructure upgrade and take ownership of how it scales, runs and recovers? We're looking for a Staff Infrastructure Engineer to join a fast-growing, VC-backed software company building AI products for enterprise finance teams. Its platform automates critical business workflows and needs to support a growing customer base, higher transaction volumes and increasingly complex security requirements. This is a senior, hands-on engineering role combining infrastructure architecture with day-to-day ownership of production systems. You'll lead the transition from managed container services to Kubernetes, define how the AWS environment is provisioned and operated, and build the tooling that makes deployments and infrastructure changes safer. You'll work directly with engineering leadership and a small platform team to set technical direction and deliver the work yourself. An early priority will be strengthening cloud security and building the infrastructure controls needed to support larger enterprise customers. The role Own the architecture and evolution of the company's production AWS infrastructure Lead the migration to Kubernetes and design the platform to handle increasing customer and workload demands Build and operate Kubernetes environments using Terraform, Docker and Helm Improve CI/CD pipelines, deployment workflows and infrastructure automation Implement practical cloud security controls to support enterprise and compliance requirements Own production reliability and observability, including metrics, logs, tracing, service-level objectives and alerting Lead incident response and postmortems, and follow through on changes that prevent repeat incidents Work with engineering leadership on architecture, technical trade-offs and long-term scalability Stay hands-on with production code, implementation and troubleshooting Requirements 7+ years in software engineering, infrastructure engineering or SRE A software engineering background and experience designing and building production infrastructure. Hands-on SRE and DevOps backgrounds are welcome Strong production experience with Terraform and Kubernetes, including Docker and Helm. AWS experience is strongly preferred Experience owning multiple production Kubernetes clusters A track record of building infrastructure from scratch or scaling it through significant growth Experience at a high-growth startup Working knowledge of information security and how to apply it in production Hands-on coding experience in one of TypeScript, Python, Rust or Java would be particularly useful but not essential, as is experience building observability systems and defining SLIs and SLOs. Compensation $230,000 - $280,000 base salary Competitive equity Up to 100% coverage of healthcare premiums Unlimited PTO (Paid Time Off) 12 weeks of parental leave Lunch provided daily New York City, 4 - 5 days per week in-office Visa transfers considered This is an opportunity to take Staff-level ownership of the AWS platform at a growing software company. You'll make the architecture decisions behind a major Kubernetes migration and stay close to the code, deployments and production systems as the business scales. If you're a Senior or Staff Infrastructure Engineer who enjoys designing systems and operating them in production, please send your resume to Jennifer Palmer at IT Recruitment Solutions.
11/14/2026
Full time
Job Description Staff Infrastructure Engineer (AWS / Kubernetes / Terraform) New York City, 4 - 5 days Onsite $230,000 - $280,000 Base + Equity Want to lead a production AWS platform through a major infrastructure upgrade and take ownership of how it scales, runs and recovers? We're looking for a Staff Infrastructure Engineer to join a fast-growing, VC-backed software company building AI products for enterprise finance teams. Its platform automates critical business workflows and needs to support a growing customer base, higher transaction volumes and increasingly complex security requirements. This is a senior, hands-on engineering role combining infrastructure architecture with day-to-day ownership of production systems. You'll lead the transition from managed container services to Kubernetes, define how the AWS environment is provisioned and operated, and build the tooling that makes deployments and infrastructure changes safer. You'll work directly with engineering leadership and a small platform team to set technical direction and deliver the work yourself. An early priority will be strengthening cloud security and building the infrastructure controls needed to support larger enterprise customers. The role Own the architecture and evolution of the company's production AWS infrastructure Lead the migration to Kubernetes and design the platform to handle increasing customer and workload demands Build and operate Kubernetes environments using Terraform, Docker and Helm Improve CI/CD pipelines, deployment workflows and infrastructure automation Implement practical cloud security controls to support enterprise and compliance requirements Own production reliability and observability, including metrics, logs, tracing, service-level objectives and alerting Lead incident response and postmortems, and follow through on changes that prevent repeat incidents Work with engineering leadership on architecture, technical trade-offs and long-term scalability Stay hands-on with production code, implementation and troubleshooting Requirements 7+ years in software engineering, infrastructure engineering or SRE A software engineering background and experience designing and building production infrastructure. Hands-on SRE and DevOps backgrounds are welcome Strong production experience with Terraform and Kubernetes, including Docker and Helm. AWS experience is strongly preferred Experience owning multiple production Kubernetes clusters A track record of building infrastructure from scratch or scaling it through significant growth Experience at a high-growth startup Working knowledge of information security and how to apply it in production Hands-on coding experience in one of TypeScript, Python, Rust or Java would be particularly useful but not essential, as is experience building observability systems and defining SLIs and SLOs. Compensation $230,000 - $280,000 base salary Competitive equity Up to 100% coverage of healthcare premiums Unlimited PTO (Paid Time Off) 12 weeks of parental leave Lunch provided daily New York City, 4 - 5 days per week in-office Visa transfers considered This is an opportunity to take Staff-level ownership of the AWS platform at a growing software company. You'll make the architecture decisions behind a major Kubernetes migration and stay close to the code, deployments and production systems as the business scales. If you're a Senior or Staff Infrastructure Engineer who enjoys designing systems and operating them in production, please send your resume to Jennifer Palmer at IT Recruitment Solutions.
Job Description RESPONSIBILITIES: Design and optimize enterprise virtualization, compute and storage platforms, including VMware Manage physical servers, storage systems, SAN fabrics, zoning, multipathing, and replication Maintain secure, stable, highly available infrastructure aligned with standards and vendor practices Plan platform lifecycles, capacity, performance, upgrades, hardware refreshes, and technology roadmaps Develop and test data protection, business continuity, replication, and disaster recovery solutions Troubleshoot complex virtualization, storage, compute, and performance issues Evaluate and implement technologies that improve reliability, performance, security, and efficiency Document and follow operational procedures, security controls, and change management practices Lead technical support and collaborate with infrastructure teams, vendors, and strategic partners Support infrastructure planning, including operating and capital budget forecasts QUALIFICATIONS: Required Bachelor's degree in Computer Science, Management Information Systems, Computer Information Systems, or a related field, with relevant enterprise infrastructure experience; or an equivalent combination of education and progressively responsible experience. 7+ years of experience designing, deploying, supporting, and engineering enterprise infrastructure environments. Hands-on experience administering VMware enterprise virtualization technologies, including VCF, vCenter, NSX, SRM, vSphere Replication, and the Aria operations, logging, and network monitoring tools. Experience administering enterprise physical and virtual server environments, storage platforms, and SANs, including performance monitoring, capacity planning, replication, and disaster recovery. Knowledge of storage networking, including Fibre Channel, iSCSI, multipathing, zoning, and replication. Proven ability to analyze and solve complex technical problems in large-scale enterprise environments. Demonstrated initiative, project leadership, and the ability to collaborate and build productive relationships. Ability to learn new technologies and adapt to changing business needs. Ability to provide after-hours support and participate in maintenance or upgrade activities, including nights, weekends, and holidays as needed. Applicants must not now, or at any time in the future, require sponsorship for a work visa. Applicants must be authorized to work in the United States for any employer. Preferred Experience supporting enterprise hypervisors beyond VMware. Experience administering Microsoft Windows Server and Red Hat Enterprise Linux. Experience administering enterprise storage, SAN, and data protection platforms, including NetApp, Dell PowerStore or Unity, IBM Storage, Cisco MDS, Rubrik, IBM Storage Protect, or similar technologies. Experience designing storage replication, business continuity, and disaster recovery solutions integrated with VMware Cloud Foundation and vSphere. Knowledge of enterprise infrastructure architecture, networking fundamentals, and TCP/IP. Experience supporting highly visible, mission-critical production environments.
11/14/2026
Full time
Job Description RESPONSIBILITIES: Design and optimize enterprise virtualization, compute and storage platforms, including VMware Manage physical servers, storage systems, SAN fabrics, zoning, multipathing, and replication Maintain secure, stable, highly available infrastructure aligned with standards and vendor practices Plan platform lifecycles, capacity, performance, upgrades, hardware refreshes, and technology roadmaps Develop and test data protection, business continuity, replication, and disaster recovery solutions Troubleshoot complex virtualization, storage, compute, and performance issues Evaluate and implement technologies that improve reliability, performance, security, and efficiency Document and follow operational procedures, security controls, and change management practices Lead technical support and collaborate with infrastructure teams, vendors, and strategic partners Support infrastructure planning, including operating and capital budget forecasts QUALIFICATIONS: Required Bachelor's degree in Computer Science, Management Information Systems, Computer Information Systems, or a related field, with relevant enterprise infrastructure experience; or an equivalent combination of education and progressively responsible experience. 7+ years of experience designing, deploying, supporting, and engineering enterprise infrastructure environments. Hands-on experience administering VMware enterprise virtualization technologies, including VCF, vCenter, NSX, SRM, vSphere Replication, and the Aria operations, logging, and network monitoring tools. Experience administering enterprise physical and virtual server environments, storage platforms, and SANs, including performance monitoring, capacity planning, replication, and disaster recovery. Knowledge of storage networking, including Fibre Channel, iSCSI, multipathing, zoning, and replication. Proven ability to analyze and solve complex technical problems in large-scale enterprise environments. Demonstrated initiative, project leadership, and the ability to collaborate and build productive relationships. Ability to learn new technologies and adapt to changing business needs. Ability to provide after-hours support and participate in maintenance or upgrade activities, including nights, weekends, and holidays as needed. Applicants must not now, or at any time in the future, require sponsorship for a work visa. Applicants must be authorized to work in the United States for any employer. Preferred Experience supporting enterprise hypervisors beyond VMware. Experience administering Microsoft Windows Server and Red Hat Enterprise Linux. Experience administering enterprise storage, SAN, and data protection platforms, including NetApp, Dell PowerStore or Unity, IBM Storage, Cisco MDS, Rubrik, IBM Storage Protect, or similar technologies. Experience designing storage replication, business continuity, and disaster recovery solutions integrated with VMware Cloud Foundation and vSphere. Knowledge of enterprise infrastructure architecture, networking fundamentals, and TCP/IP. Experience supporting highly visible, mission-critical production environments.
Job Description We're working with a global trading technology firm scaling its research compute infrastructure across on-premises environments and public cloud platforms. This is a hands-on engineering opportunity spanning large-scale Linux systems, CPU/GPU compute, high-performance storage and cloud infrastructure. You'll help build and optimise the platforms used for complex simulations, quantitative modelling and computationally intensive research. What You'll Be Working On Building and scaling Linux-based HPC clusters across on-premises and cloud environments. Supporting CPU and GPU compute infrastructure for demanding research workloads. Engineering high-throughput storage solutions for large-scale data processing and simulation. Troubleshooting complex performance issues across Linux, networking, storage and compute. Automating infrastructure provisioning and configuration using Ansible, Terraform and similar tooling. Working with AWS, GCP or Azure to expand compute capacity and improve platform scalability. Evaluating new hardware, infrastructure technologies and approaches to HPC optimisation. Collaborating with software engineers and quantitative research teams to deliver reliable, high-performance compute environments. What We're Looking For Strong Linux systems knowledge and infrastructure troubleshooting skills. Experience with HPC, large-scale compute clusters or distributed infrastructure. Familiarity with cloud platforms such as AWS, GCP or Azure. Experience witah infrastructure automation using Ansible, Terraform or similar tools. Understanding of compute, storage and networking fundamentals. Exposure to GPU computing, high-performance storage or cluster management is advantageous. Python or Bash scripting experience is beneficial. Strong problem-solving skills and an interest in performance engineering and scalable infrastructure. What Can You Expect? Work on the compute infrastructure powering advanced quantitative and options research. Gain exposure to large-scale Linux environments, GPU computing and hybrid cloud architecture. Solve complex infrastructure challenges across compute, storage and networking. Collaborate with highly skilled infrastructure engineers, developers and quantitative researchers. Base salary: $200,000-$250,000 USD , plus discretionary performance bonus. Comprehensive healthcare, retirement benefits, generous paid leave and professional development opportunities. Interested in building infrastructure where computational performance really matters? We'd love to hear from you. Is this role not quite a fit? Feel free to check our website for more openings and let's get in touch for your next challenge!
11/14/2026
Full time
Job Description We're working with a global trading technology firm scaling its research compute infrastructure across on-premises environments and public cloud platforms. This is a hands-on engineering opportunity spanning large-scale Linux systems, CPU/GPU compute, high-performance storage and cloud infrastructure. You'll help build and optimise the platforms used for complex simulations, quantitative modelling and computationally intensive research. What You'll Be Working On Building and scaling Linux-based HPC clusters across on-premises and cloud environments. Supporting CPU and GPU compute infrastructure for demanding research workloads. Engineering high-throughput storage solutions for large-scale data processing and simulation. Troubleshooting complex performance issues across Linux, networking, storage and compute. Automating infrastructure provisioning and configuration using Ansible, Terraform and similar tooling. Working with AWS, GCP or Azure to expand compute capacity and improve platform scalability. Evaluating new hardware, infrastructure technologies and approaches to HPC optimisation. Collaborating with software engineers and quantitative research teams to deliver reliable, high-performance compute environments. What We're Looking For Strong Linux systems knowledge and infrastructure troubleshooting skills. Experience with HPC, large-scale compute clusters or distributed infrastructure. Familiarity with cloud platforms such as AWS, GCP or Azure. Experience witah infrastructure automation using Ansible, Terraform or similar tools. Understanding of compute, storage and networking fundamentals. Exposure to GPU computing, high-performance storage or cluster management is advantageous. Python or Bash scripting experience is beneficial. Strong problem-solving skills and an interest in performance engineering and scalable infrastructure. What Can You Expect? Work on the compute infrastructure powering advanced quantitative and options research. Gain exposure to large-scale Linux environments, GPU computing and hybrid cloud architecture. Solve complex infrastructure challenges across compute, storage and networking. Collaborate with highly skilled infrastructure engineers, developers and quantitative researchers. Base salary: $200,000-$250,000 USD , plus discretionary performance bonus. Comprehensive healthcare, retirement benefits, generous paid leave and professional development opportunities. Interested in building infrastructure where computational performance really matters? We'd love to hear from you. Is this role not quite a fit? Feel free to check our website for more openings and let's get in touch for your next challenge!
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.
11/14/2026
Full time
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.
11/14/2026
Full time
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 About Asseta Asseta is an AI-native operating system purpose-built for UHNWIs, family offices, and RIAs, with over $130B in assets on the platform. Our flagship product, the Intelligent Family Office Suite , enables family offices to operate efficiently, securely, and insightfully in an era of generational wealth transfer and digital transformation. Our mission is to empower family offices to achieve financial excellence through intuitive, enterprise-grade software and expertise. We simplify complex wealth management and accounting, foster transparency, and ensure data security, delivering unwavering support for our clients' wealth preservation and growth. The Opportunity Asseta is seeking a Senior Software Engineer to report to our Lead Software Engineer and Chief Technology Officer. You'll design and build the features at the heart of the Intelligent Family Office Suite , owning meaningful product areas end-to-end. Working closely with product and implementation teams, you'll ship production software that directly shapes how clients manage their accounting and investment operations. As a Senior Software Engineer, You Will Design, build, and ship features across the platform, from backend services to polished user-facing experiences Own significant product areas end-to-end, scoping, implementation, testing, and delivery Build and maintain integrations with banking and third-party systems Write clean, well-tested, maintainable code and participate actively in code review Collaborate with product and implementation teams to turn family office workflows into reliable software Contribute to architecture decisions and help continuously improve engineering practices Help uphold high standards for security, performance, and data integrity across the platform Qualifications 4+ years of professional software engineering experience building and shipping production software Strong full-stack skills, with proficiency in Python, modern API design, React, and TypeScript Experience building scalable, cloud-native SaaS products, ideally on AWS Solid understanding of databases, distributed systems, testing, and secure coding practices Ability to work independently, own features end-to-end, and collaborate across functions Excellent communication and problem-solving skills Experience in fintech, accounting software, or family office/wealth management is a plus Compensation and Benefits Asseta offers competitive compensation along with a benefits package that includes: Base salary of $150,000-$225,000 Equity plan eligibility Comprehensive health, dental, and vision coverage Unlimited paid time off Conference sponsorships and training opportunities Frequent company off-sites and team-building events On-site at our New York City headquarters
11/14/2026
Full time
Job Description About Asseta Asseta is an AI-native operating system purpose-built for UHNWIs, family offices, and RIAs, with over $130B in assets on the platform. Our flagship product, the Intelligent Family Office Suite , enables family offices to operate efficiently, securely, and insightfully in an era of generational wealth transfer and digital transformation. Our mission is to empower family offices to achieve financial excellence through intuitive, enterprise-grade software and expertise. We simplify complex wealth management and accounting, foster transparency, and ensure data security, delivering unwavering support for our clients' wealth preservation and growth. The Opportunity Asseta is seeking a Senior Software Engineer to report to our Lead Software Engineer and Chief Technology Officer. You'll design and build the features at the heart of the Intelligent Family Office Suite , owning meaningful product areas end-to-end. Working closely with product and implementation teams, you'll ship production software that directly shapes how clients manage their accounting and investment operations. As a Senior Software Engineer, You Will Design, build, and ship features across the platform, from backend services to polished user-facing experiences Own significant product areas end-to-end, scoping, implementation, testing, and delivery Build and maintain integrations with banking and third-party systems Write clean, well-tested, maintainable code and participate actively in code review Collaborate with product and implementation teams to turn family office workflows into reliable software Contribute to architecture decisions and help continuously improve engineering practices Help uphold high standards for security, performance, and data integrity across the platform Qualifications 4+ years of professional software engineering experience building and shipping production software Strong full-stack skills, with proficiency in Python, modern API design, React, and TypeScript Experience building scalable, cloud-native SaaS products, ideally on AWS Solid understanding of databases, distributed systems, testing, and secure coding practices Ability to work independently, own features end-to-end, and collaborate across functions Excellent communication and problem-solving skills Experience in fintech, accounting software, or family office/wealth management is a plus Compensation and Benefits Asseta offers competitive compensation along with a benefits package that includes: Base salary of $150,000-$225,000 Equity plan eligibility Comprehensive health, dental, and vision coverage Unlimited paid time off Conference sponsorships and training opportunities Frequent company off-sites and team-building events On-site at our New York City headquarters
Job Description Staff Data Engineer Location: Scottsdale, AZ Monday-Thursday onsite, Friday remote We're partnering with a hospitality technology company to find a Staff Data Engineer to help build and improve a cloud-based data platform supporting thousands of hotel properties. The platform handles reservation, guest, rate, and operational data used across the business. This is a hands-on technical leadership role for someone who enjoys building data systems while helping shape the architecture behind them. You'll work across multiple initiatives, guide technical decisions, and mentor senior engineers. This position has no direct reports. What you'll do: Design, build, and improve data pipelines and distributed processing solutions using AWS, Apache Spark, Python, and SQL. Help define the platform's architecture, engineering standards, and technical direction. Improve scalability, performance, reliability, and monitoring across data systems. Partner with engineering teams and business stakeholders to translate requirements into practical technical solutions. Mentor senior engineers through design discussions, code reviews, and hands-on problem solving. Support automated testing, CI/CD, and infrastructure as code practices. What we're looking for: 8+ years of relevant data engineering experience. Strong hands-on expertise with AWS, Apache Spark, Python, and SQL. Experience designing cloud data platforms, distributed systems, and data warehouse solutions. A track record of owning complex technical projects and guiding architecture decisions across teams. Experience improving production systems through monitoring, troubleshooting, and performance optimization. Strong communication skills and the ability to explain technical decisions to different audiences. Experience with generative AI is a plus. Candidates must be authorized to work in the U.S. without sponsorship.
11/14/2026
Full time
Job Description Staff Data Engineer Location: Scottsdale, AZ Monday-Thursday onsite, Friday remote We're partnering with a hospitality technology company to find a Staff Data Engineer to help build and improve a cloud-based data platform supporting thousands of hotel properties. The platform handles reservation, guest, rate, and operational data used across the business. This is a hands-on technical leadership role for someone who enjoys building data systems while helping shape the architecture behind them. You'll work across multiple initiatives, guide technical decisions, and mentor senior engineers. This position has no direct reports. What you'll do: Design, build, and improve data pipelines and distributed processing solutions using AWS, Apache Spark, Python, and SQL. Help define the platform's architecture, engineering standards, and technical direction. Improve scalability, performance, reliability, and monitoring across data systems. Partner with engineering teams and business stakeholders to translate requirements into practical technical solutions. Mentor senior engineers through design discussions, code reviews, and hands-on problem solving. Support automated testing, CI/CD, and infrastructure as code practices. What we're looking for: 8+ years of relevant data engineering experience. Strong hands-on expertise with AWS, Apache Spark, Python, and SQL. Experience designing cloud data platforms, distributed systems, and data warehouse solutions. A track record of owning complex technical projects and guiding architecture decisions across teams. Experience improving production systems through monitoring, troubleshooting, and performance optimization. Strong communication skills and the ability to explain technical decisions to different audiences. Experience with generative AI is a plus. Candidates must be authorized to work in the U.S. without sponsorship.
Job Description Job Title: Specialist Programmer - AI Engineer Location: Tampa, FL (Hybrid 3 days/week) Duration: Full-Time Employment MOI: F2F round of Technical Discussion and Weekend Drive Interview on 14th November Required Skill and Experience Experience in developing and applying generative AI models. Strong understanding of Python engineering skills combined with hands-on experience building LLM-powered applications, AI agents, agent orchestration, Model Context Protocol (MCP) integrations, reusable AI Skills, Managed Agents, and Retrieval-Augmented Generation (RAG) solutions Proficiency in programming languages like Python, FastAPI and familiarity with deep learning frameworks like TensorFlow or PyTorch. Experience with Azure and Microsoft/Azure AI services is highly desirable. Build LLM-powered AI agents capable of reasoning, planning, tool invocation, workflow execution, and interaction with enterprise systems. Design and implement single-agent and multi-agent architectures, including agent orchestration, delegation, handoffs, and collaboration patterns Design and implement Model Context Protocol (MCP) clients and servers to expose enterprise data, APIs, and capabilities securely to AI agents Develop reusable Skills, tools, prompts, and agent capabilities that can be shared across multiple agents and use cases. Build and deploy Managed Agents / hosted agents using enterprise AI platforms and agent services Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities. Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability. Preferred Skill and Experience Experience in cloud-based platforms like Azure & Microsoft / Azure AI services Experience in Open-Source tools and technologies Consistent score in Coding sites like Hackerrank, CodeChef etc. Industry-acclaimed External Certifications, if applicable Active participation in Technology forums Contribution to Open-Source Community. Effective collaboration and communication skills Excellent problem-solving skills and a strong analytical mind. Experience working in a collaborative and fast-paced environment.
11/14/2026
Full time
Job Description Job Title: Specialist Programmer - AI Engineer Location: Tampa, FL (Hybrid 3 days/week) Duration: Full-Time Employment MOI: F2F round of Technical Discussion and Weekend Drive Interview on 14th November Required Skill and Experience Experience in developing and applying generative AI models. Strong understanding of Python engineering skills combined with hands-on experience building LLM-powered applications, AI agents, agent orchestration, Model Context Protocol (MCP) integrations, reusable AI Skills, Managed Agents, and Retrieval-Augmented Generation (RAG) solutions Proficiency in programming languages like Python, FastAPI and familiarity with deep learning frameworks like TensorFlow or PyTorch. Experience with Azure and Microsoft/Azure AI services is highly desirable. Build LLM-powered AI agents capable of reasoning, planning, tool invocation, workflow execution, and interaction with enterprise systems. Design and implement single-agent and multi-agent architectures, including agent orchestration, delegation, handoffs, and collaboration patterns Design and implement Model Context Protocol (MCP) clients and servers to expose enterprise data, APIs, and capabilities securely to AI agents Develop reusable Skills, tools, prompts, and agent capabilities that can be shared across multiple agents and use cases. Build and deploy Managed Agents / hosted agents using enterprise AI platforms and agent services Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities. Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability. Preferred Skill and Experience Experience in cloud-based platforms like Azure & Microsoft / Azure AI services Experience in Open-Source tools and technologies Consistent score in Coding sites like Hackerrank, CodeChef etc. Industry-acclaimed External Certifications, if applicable Active participation in Technology forums Contribution to Open-Source Community. Effective collaboration and communication skills Excellent problem-solving skills and a strong analytical mind. Experience working in a collaborative and fast-paced environment.
Job Description Role: Enterprise DevOps Engineer Location: Trenton, NJ (Hybrid - 3 Days Onsite / 2 Days Remote) Employment Type: Contract Duration: Long Term Interview: Final Round - Face-to-Face Note: Local candidates only. Job Description: Seeking an experienced Enterprise DevOps Engineer to architect, automate, and govern enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake environments. The ideal candidate will have strong hands-on experience with Copado, AWS DevOps services, GitHub Actions, infrastructure as code, and automated release management. Key Responsibilities: Design and manage enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake. Build and maintain Salesforce deployment workflows using Copado , including metadata validation and release management. Develop serverless applications and backend microservices using Python or Node.js, AWS Lambda, API Gateway, SQS, SNS, and EventBridge. Build event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS, and Snowflake. Provision and manage cloud infrastructure using CloudFormation and Terraform . Establish Git/GitHub branching strategies, pull request workflows, and release governance. Integrate automated testing, security scanning, secrets management, and monitoring into CI/CD pipelines. Support Snowflake schema migrations, sandbox management, data masking, and deployment automation. Maintain technical documentation, deployment architecture diagrams, and operational runbooks. Required Skills & Experience: Bachelor's or Master's degree in Computer Science, IT, or a related field. 7+ years of enterprise version control and release engineering experience with Git, GitHub, and branching strategies . 4+ years of Salesforce CI/CD architecture and Copado release management . 5+ years of AWS development and infrastructure experience, including Lambda, S3, IAM, CloudFormation, and Terraform . 5+ years of scripting and pipeline automation using Python, Bash, and GitHub Actions . Preferred Skills: Salesforce DX (SFDX) and Metadata API. Snowflake deployment automation and schema migrations. AWS Certified DevOps Engineer or equivalent AWS certification. LinkedIn and Salesforce Trailblazer profiles, if available.
11/14/2026
Full time
Job Description Role: Enterprise DevOps Engineer Location: Trenton, NJ (Hybrid - 3 Days Onsite / 2 Days Remote) Employment Type: Contract Duration: Long Term Interview: Final Round - Face-to-Face Note: Local candidates only. Job Description: Seeking an experienced Enterprise DevOps Engineer to architect, automate, and govern enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake environments. The ideal candidate will have strong hands-on experience with Copado, AWS DevOps services, GitHub Actions, infrastructure as code, and automated release management. Key Responsibilities: Design and manage enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake. Build and maintain Salesforce deployment workflows using Copado , including metadata validation and release management. Develop serverless applications and backend microservices using Python or Node.js, AWS Lambda, API Gateway, SQS, SNS, and EventBridge. Build event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS, and Snowflake. Provision and manage cloud infrastructure using CloudFormation and Terraform . Establish Git/GitHub branching strategies, pull request workflows, and release governance. Integrate automated testing, security scanning, secrets management, and monitoring into CI/CD pipelines. Support Snowflake schema migrations, sandbox management, data masking, and deployment automation. Maintain technical documentation, deployment architecture diagrams, and operational runbooks. Required Skills & Experience: Bachelor's or Master's degree in Computer Science, IT, or a related field. 7+ years of enterprise version control and release engineering experience with Git, GitHub, and branching strategies . 4+ years of Salesforce CI/CD architecture and Copado release management . 5+ years of AWS development and infrastructure experience, including Lambda, S3, IAM, CloudFormation, and Terraform . 5+ years of scripting and pipeline automation using Python, Bash, and GitHub Actions . Preferred Skills: Salesforce DX (SFDX) and Metadata API. Snowflake deployment automation and schema migrations. AWS Certified DevOps Engineer or equivalent AWS certification. LinkedIn and Salesforce Trailblazer profiles, if available.
Integrated Resources, Inc ( IRI )
Brandon, Florida
Job Description We're Hiring: Enterprise Security Architect Location: Brandon, FL 33510 Work Model: Hybrid - 4 days onsite and 1 day remote per week Duration: 12 Months (Contract) Position Overview We are seeking an experienced Enterprise Security Architect to support the Advance Distribution Infrastructure (ADI) program. This role will focus on designing, evaluating, and governing cybersecurity architectures and controls across IT, OT, cloud, and hybrid environments. The ideal candidate will have a strong infrastructure security architecture background, experience with cybersecurity frameworks, and the ability to assess security gaps, evaluate technical risks, and recommend solutions that align with enterprise security standards and regulatory requirements. Please note: This is primarily an architecture, assessment, advisory, and governance role rather than a hands-on security tools implementation position. Key Responsibilities Serve as the primary cybersecurity liaison between business units, project teams, technology teams, vendors, and enterprise architecture. Design and evaluate security architectures and technical controls across IT, OT, cloud, and hybrid environments. Develop and maintain cybersecurity standards, reference architectures, security requirements, and implementation guidelines. Ensure alignment with established cybersecurity policies, risk management practices, and regulatory frameworks. Conduct security architecture reviews, technical risk assessments, vulnerability assessments, threat assessments, and compliance evaluations. Identify security gaps, architectural weaknesses, and vulnerabilities; recommend remediation strategies based on risk and business impact. Assess OT devices, sensors, connectivity, encryption, data flows, integrations, and vendor solutions against established security standards. Provide consultative guidance on security controls, approved technologies, architectural patterns, and compliance requirements. Collaborate with internal technical teams, vendors, governance, risk, and compliance stakeholders to address security concerns. Recommend solutions to reduce cyber risk and strengthen security across critical infrastructure initiatives. Required Qualifications Minimum 7 years of practical technical experience in Information Security . Experience implementing or applying security frameworks, including NIST Cybersecurity Framework (CSF) and ISO 27000. Strong background in enterprise security architecture and infrastructure security. Knowledge of cybersecurity controls, security assessments, risk management, and compliance requirements. Relevant cybersecurity certification, such as CISSP, CEH, CSSA, GIAC , or an equivalent security certification. Strong analytical, communication, documentation, and stakeholder management skills. Preferred Qualifications Experience securing both IT and Operational Technology (OT) environments . Familiarity with critical infrastructure security, industrial devices, sensor connectivity, encryption, and data integrations. Experience evaluating vendor technologies and solution architectures against enterprise security standards. Knowledge of regulatory and security frameworks, including: NIST Cybersecurity Framework (CSF) NERC CIP TSA Security Directives DFARS SOX PCI Ability to translate complex security requirements into practical architectural recommendations. Work Location Requirements Onsite at the Lake Kathy Office in Brandon, Florida, 4 days per week . Remote work 1 day per week . Occasional visits to the BOC may be required. Interested? If you have strong enterprise security architecture experience, particularly across IT/OT infrastructure and cybersecurity compliance, we'd love to connect!
11/14/2026
Full time
Job Description We're Hiring: Enterprise Security Architect Location: Brandon, FL 33510 Work Model: Hybrid - 4 days onsite and 1 day remote per week Duration: 12 Months (Contract) Position Overview We are seeking an experienced Enterprise Security Architect to support the Advance Distribution Infrastructure (ADI) program. This role will focus on designing, evaluating, and governing cybersecurity architectures and controls across IT, OT, cloud, and hybrid environments. The ideal candidate will have a strong infrastructure security architecture background, experience with cybersecurity frameworks, and the ability to assess security gaps, evaluate technical risks, and recommend solutions that align with enterprise security standards and regulatory requirements. Please note: This is primarily an architecture, assessment, advisory, and governance role rather than a hands-on security tools implementation position. Key Responsibilities Serve as the primary cybersecurity liaison between business units, project teams, technology teams, vendors, and enterprise architecture. Design and evaluate security architectures and technical controls across IT, OT, cloud, and hybrid environments. Develop and maintain cybersecurity standards, reference architectures, security requirements, and implementation guidelines. Ensure alignment with established cybersecurity policies, risk management practices, and regulatory frameworks. Conduct security architecture reviews, technical risk assessments, vulnerability assessments, threat assessments, and compliance evaluations. Identify security gaps, architectural weaknesses, and vulnerabilities; recommend remediation strategies based on risk and business impact. Assess OT devices, sensors, connectivity, encryption, data flows, integrations, and vendor solutions against established security standards. Provide consultative guidance on security controls, approved technologies, architectural patterns, and compliance requirements. Collaborate with internal technical teams, vendors, governance, risk, and compliance stakeholders to address security concerns. Recommend solutions to reduce cyber risk and strengthen security across critical infrastructure initiatives. Required Qualifications Minimum 7 years of practical technical experience in Information Security . Experience implementing or applying security frameworks, including NIST Cybersecurity Framework (CSF) and ISO 27000. Strong background in enterprise security architecture and infrastructure security. Knowledge of cybersecurity controls, security assessments, risk management, and compliance requirements. Relevant cybersecurity certification, such as CISSP, CEH, CSSA, GIAC , or an equivalent security certification. Strong analytical, communication, documentation, and stakeholder management skills. Preferred Qualifications Experience securing both IT and Operational Technology (OT) environments . Familiarity with critical infrastructure security, industrial devices, sensor connectivity, encryption, and data integrations. Experience evaluating vendor technologies and solution architectures against enterprise security standards. Knowledge of regulatory and security frameworks, including: NIST Cybersecurity Framework (CSF) NERC CIP TSA Security Directives DFARS SOX PCI Ability to translate complex security requirements into practical architectural recommendations. Work Location Requirements Onsite at the Lake Kathy Office in Brandon, Florida, 4 days per week . Remote work 1 day per week . Occasional visits to the BOC may be required. Interested? If you have strong enterprise security architecture experience, particularly across IT/OT infrastructure and cybersecurity compliance, we'd love to connect!
Job Description Job Title: Cloud Solutions Architect / Cloud Engineer /Application Architect- AI Agentic, Integration & Architecture Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Duration: Long Term Contract Certification/Experience: Cloud certification and additional relevant certification Position Summary We are seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. 1. AI Agentic Architecture -Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. - Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). - Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture - Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. - Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE - Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. - Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. - Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration - Guide application modernization and cloud design on Azure, AWS, and hybrid environments. - Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and security requirements. - Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Qualifications 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication
11/14/2026
Full time
Job Description Job Title: Cloud Solutions Architect / Cloud Engineer /Application Architect- AI Agentic, Integration & Architecture Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Duration: Long Term Contract Certification/Experience: Cloud certification and additional relevant certification Position Summary We are seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. 1. AI Agentic Architecture -Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. - Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). - Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture - Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. - Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE - Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. - Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. - Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration - Guide application modernization and cloud design on Azure, AWS, and hybrid environments. - Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and security requirements. - Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Qualifications 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication
Job Description Senior Oracle ERP Solution Architect Contract - Remote Hospital Back Office Oracle ERP Solution Architect, you will lead Oracle Fusion Cloud ERP designs for hospitals and health systems. Architect Oracle Fusion Cloud ERP across Financials, Procurement, Supply Chain, and Projects for multi-entity health systems Design hospital finance processes: intercompany, fund and grant accounting, capital projects, fixed assets, and cost accounting Design hospital supply chain: item master, GPO contract pricing, PAR replenishment, bill-only implants, and procure-to-pay Integrate ERP with Epic, Oracle Health (Cerner), or MEDITECH for GL posting and supply capture Lead client workshops, roadmaps, legacy migrations (Lawson/Infor, PeopleSoft, EBS), and sales pursuits Experince 10+ years of Oracle Cloud ERP implementation experience 5+ years delivering Oracle ERP for hospitals or health systems, including full lifecycle projects Experience integrating ERP with an EHR or patient accounting system Bachelor's degree or equivalent experience Requirements Oracle Cloud ERP certifications Knowledge of nonprofit hospital accounting, cost reporting, and GPO contracting Strong executive presentation and workshop facilitation skills
11/14/2026
Full time
Job Description Senior Oracle ERP Solution Architect Contract - Remote Hospital Back Office Oracle ERP Solution Architect, you will lead Oracle Fusion Cloud ERP designs for hospitals and health systems. Architect Oracle Fusion Cloud ERP across Financials, Procurement, Supply Chain, and Projects for multi-entity health systems Design hospital finance processes: intercompany, fund and grant accounting, capital projects, fixed assets, and cost accounting Design hospital supply chain: item master, GPO contract pricing, PAR replenishment, bill-only implants, and procure-to-pay Integrate ERP with Epic, Oracle Health (Cerner), or MEDITECH for GL posting and supply capture Lead client workshops, roadmaps, legacy migrations (Lawson/Infor, PeopleSoft, EBS), and sales pursuits Experince 10+ years of Oracle Cloud ERP implementation experience 5+ years delivering Oracle ERP for hospitals or health systems, including full lifecycle projects Experience integrating ERP with an EHR or patient accounting system Bachelor's degree or equivalent experience Requirements Oracle Cloud ERP certifications Knowledge of nonprofit hospital accounting, cost reporting, and GPO contracting Strong executive presentation and workshop facilitation skills
Job Description End Client: Metropolitan Transportation Authority (MTA) Job Title: Senior AI & Cloud Solutions Architect Duration: 12 months + Extension Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Number of Hours: 37.5 Hours a week Interview Type: Webcam or In-Person Ceipal ID: MTA_AI122_MA Job Code: 6122-1 Scope of Project: The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. Responsibilities: 1. AI Agentic Architecture Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration Guide application modernization and cloud design on Azure, AWS, and hybrid environments. Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and MTA security requirements. Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Required/Preferred Skills: 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication. Cloud certification and additional relevant certification preferred. Expertise in agentic AI architecture, multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Experience with enterprise systems and APIs, MCP, and event-driven triggers. Knowledge of API-led, event-driven, and messaging integration patterns, API lifecycle, and gateway strategy. Experience with legacy, SaaS, and cloud-native integration. Experience developing application, integration, API, and AI architecture standards and reference architectures. Experience establishing and operating an Architecture Center of Excellence (COE), including governance forums, design reviews, training, and playbooks. Knowledge of Azure, AWS, hybrid cloud environments, NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/ contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. If you are considering applying for a position with V Group, or in partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. Please share my contact information with others working in Information Technology. Website: LinkedIn: -group/ Facebook: Twitter:
11/14/2026
Full time
Job Description End Client: Metropolitan Transportation Authority (MTA) Job Title: Senior AI & Cloud Solutions Architect Duration: 12 months + Extension Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Number of Hours: 37.5 Hours a week Interview Type: Webcam or In-Person Ceipal ID: MTA_AI122_MA Job Code: 6122-1 Scope of Project: The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. Responsibilities: 1. AI Agentic Architecture Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration Guide application modernization and cloud design on Azure, AWS, and hybrid environments. Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and MTA security requirements. Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Required/Preferred Skills: 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication. Cloud certification and additional relevant certification preferred. Expertise in agentic AI architecture, multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Experience with enterprise systems and APIs, MCP, and event-driven triggers. Knowledge of API-led, event-driven, and messaging integration patterns, API lifecycle, and gateway strategy. Experience with legacy, SaaS, and cloud-native integration. Experience developing application, integration, API, and AI architecture standards and reference architectures. Experience establishing and operating an Architecture Center of Excellence (COE), including governance forums, design reviews, training, and playbooks. Knowledge of Azure, AWS, hybrid cloud environments, NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/ contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. If you are considering applying for a position with V Group, or in partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. Please share my contact information with others working in Information Technology. Website: LinkedIn: -group/ Facebook: Twitter:
