Job Description We are looking for an experienced Linux Systems Engineer to join a high-performance technology team within a high-frequency trading firm. The role will focus on building, maintaining and optimizing bare-metal Linux infrastructure, with an emphasis on ultra-low-latency performance, hardware optimization and system reliability. The ideal candidate will have deep Linux engineering experience, strong knowledge of operating system internals and hands-on experience working with physical server hardware in performance-critical environments. Key Responsibilities Design, build and maintain high-performance bare-metal Linux infrastructure. Provision, configure and manage physical servers, including OS installation, BIOS, firmware and hardware configuration. Optimize Linux systems for low latency, high throughput and minimal system jitter. Perform kernel tuning, CPU isolation, IRQ affinity, NUMA optimization and CPU scheduling configuration. Analyze and troubleshoot hardware, kernel and operating system performance issues. Work with network engineering teams to optimize low-latency Linux networking. Automate infrastructure deployment, configuration and management. Develop tooling and scripts to improve infrastructure performance and operational efficiency. Work closely with developers, quantitative researchers and trading teams to support critical trading infrastructure. Essential Skills & Experience Strong commercial experience as a Linux Systems Engineer or Linux Infrastructure Engineer. Extensive hands-on experience building and managing Linux on bare-metal physical servers. Deep understanding of Linux internals, kernel architecture and operating system behavior. Experience with Linux performance tuning and low-latency optimization. Strong knowledge of CPU architecture, NUMA, memory management, interrupts and processor scheduling. Experience with server hardware, BIOS/UEFI and firmware configuration. Strong troubleshooting and performance analysis capabilities. Proficiency in Bash and/or Python scripting. Experience with infrastructure automation and configuration management. Desirable Experience Experience optimizing Linux for microsecond or sub-microsecond latency. Knowledge of Solarflare, Xilinx or NVIDIA/Mellanox network cards. Experience with DPDK, OpenOnload, RDMA or kernel bypass technologies. Understanding of TCP/IP, UDP, multicast and high-performance networking. Familiarity with Intel Xeon and AMD EPYC architectures. Experience with PTP, hardware timestamping and colocated data center environments.
11/14/2026
Full time
Job Description We are looking for an experienced Linux Systems Engineer to join a high-performance technology team within a high-frequency trading firm. The role will focus on building, maintaining and optimizing bare-metal Linux infrastructure, with an emphasis on ultra-low-latency performance, hardware optimization and system reliability. The ideal candidate will have deep Linux engineering experience, strong knowledge of operating system internals and hands-on experience working with physical server hardware in performance-critical environments. Key Responsibilities Design, build and maintain high-performance bare-metal Linux infrastructure. Provision, configure and manage physical servers, including OS installation, BIOS, firmware and hardware configuration. Optimize Linux systems for low latency, high throughput and minimal system jitter. Perform kernel tuning, CPU isolation, IRQ affinity, NUMA optimization and CPU scheduling configuration. Analyze and troubleshoot hardware, kernel and operating system performance issues. Work with network engineering teams to optimize low-latency Linux networking. Automate infrastructure deployment, configuration and management. Develop tooling and scripts to improve infrastructure performance and operational efficiency. Work closely with developers, quantitative researchers and trading teams to support critical trading infrastructure. Essential Skills & Experience Strong commercial experience as a Linux Systems Engineer or Linux Infrastructure Engineer. Extensive hands-on experience building and managing Linux on bare-metal physical servers. Deep understanding of Linux internals, kernel architecture and operating system behavior. Experience with Linux performance tuning and low-latency optimization. Strong knowledge of CPU architecture, NUMA, memory management, interrupts and processor scheduling. Experience with server hardware, BIOS/UEFI and firmware configuration. Strong troubleshooting and performance analysis capabilities. Proficiency in Bash and/or Python scripting. Experience with infrastructure automation and configuration management. Desirable Experience Experience optimizing Linux for microsecond or sub-microsecond latency. Knowledge of Solarflare, Xilinx or NVIDIA/Mellanox network cards. Experience with DPDK, OpenOnload, RDMA or kernel bypass technologies. Understanding of TCP/IP, UDP, multicast and high-performance networking. Familiarity with Intel Xeon and AMD EPYC architectures. Experience with PTP, hardware timestamping and colocated data center environments.
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
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description Job Title: Software Development Engineer - Embedded HVAC Devices (Data Center) We are seeking a Software Technical Lead to drive the technical development of embedded software for advanced HVAC devices in data center environments. This role is responsible for ensuring robust, secure, and efficient device operation in critical infrastructure, working closely with global engineering teams and stakeholders. Key Responsibilities: - Lead technical execution of embedded software projects for HVAC devices in data centers. - Guide and coordinate internal and external software developers to ensure high-quality output. - Design and implement software adhering to advanced security standards, including OCP (Open Compute Project) guidelines. - Integrate and manage data center-specific communication protocols, focusing on the Redfish REST API. - Collaborate with other domains (I&V, Sensing, Hardware) to meet system requirements. - Translate system requirements into software architecture and actionable technical tasks. - Ensure seamless integration of features from embedded platforms (RTOS, Matlab/Simulink). - Communicate project status, challenges, and successes to stakeholders. Required Expertise: - BSc or MSc in Computer Science, Electrical Engineering, or related field. - 5+ years of technical experience leading embedded systems software development projects. - Strong project management and technical leadership background. - Experience coordinating with cross-functional teams (Hardware, QA, etc.). - Familiarity with data center infrastructure and management protocols, including REST APIs. - Understanding of advanced security standards for critical infrastructure (OCP guidelines). - Deep technical understanding of embedded systems, including hardware functions (sensing, control). - Strong knowledge of embedded platforms such as RTOS and Matlab/Simulink. - Ability to guide technical design and architecture decisions. - Willingness to learn, structured and detail-oriented working style. - Team-oriented, proactive attitude with good communication skills. - Strong analytical and decision-making skills; effective at coaching less-experienced engineers. No specific shift requirements or schedules are mentioned. Applicants must be legally authorized to work in the United States for any employer. Sponsorship is not available for this position now or in the future.
11/14/2026
Full time
Job Description Job Title: Software Development Engineer - Embedded HVAC Devices (Data Center) We are seeking a Software Technical Lead to drive the technical development of embedded software for advanced HVAC devices in data center environments. This role is responsible for ensuring robust, secure, and efficient device operation in critical infrastructure, working closely with global engineering teams and stakeholders. Key Responsibilities: - Lead technical execution of embedded software projects for HVAC devices in data centers. - Guide and coordinate internal and external software developers to ensure high-quality output. - Design and implement software adhering to advanced security standards, including OCP (Open Compute Project) guidelines. - Integrate and manage data center-specific communication protocols, focusing on the Redfish REST API. - Collaborate with other domains (I&V, Sensing, Hardware) to meet system requirements. - Translate system requirements into software architecture and actionable technical tasks. - Ensure seamless integration of features from embedded platforms (RTOS, Matlab/Simulink). - Communicate project status, challenges, and successes to stakeholders. Required Expertise: - BSc or MSc in Computer Science, Electrical Engineering, or related field. - 5+ years of technical experience leading embedded systems software development projects. - Strong project management and technical leadership background. - Experience coordinating with cross-functional teams (Hardware, QA, etc.). - Familiarity with data center infrastructure and management protocols, including REST APIs. - Understanding of advanced security standards for critical infrastructure (OCP guidelines). - Deep technical understanding of embedded systems, including hardware functions (sensing, control). - Strong knowledge of embedded platforms such as RTOS and Matlab/Simulink. - Ability to guide technical design and architecture decisions. - Willingness to learn, structured and detail-oriented working style. - Team-oriented, proactive attitude with good communication skills. - Strong analytical and decision-making skills; effective at coaching less-experienced engineers. No specific shift requirements or schedules are mentioned. Applicants must be legally authorized to work in the United States for any employer. Sponsorship is not available for this position now or in the future.
Job Description About the Opportunity We are partnering with a leading quantitative trading firm seeking an experienced Storage Infrastructure Engineer to join its Data Engineering Infrastructure team in Chicago. This is a hands-on engineering role focused on building, scaling, and maintaining the large-scale storage and data infrastructure supporting high-frequency trading and quantitative research operations. The position involves working directly with on-premises infrastructure, Linux systems, distributed storage technologies, and enterprise storage platforms. As the firm's data requirements continue to grow, this engineer will contribute to the performance, reliability, and scalability of its underlying storage environment. Key Responsibilities Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage, and S3-compatible platforms. Build, maintain, and scale on-premises storage systems supporting data-intensive workloads. Tune Linux systems for I/O throughput, performance, and reliability. Automate infrastructure configuration and deployment using Ansible, Puppet, or similar automation tools. Implement monitoring and observability using Prometheus and related technologies. Partner with engineering teams to deliver reliable, well-architected data solutions, with a focus on storage and Kafka. Contribute to storage architecture, capacity planning, and infrastructure scalability. Work with distributed storage technologies and support the continued development of the firm's data infrastructure. Required Skills & Experience 5+ years of experience in systems engineering, with a strong focus on data storage infrastructure. Strong Linux fundamentals, including debugging, troubleshooting, and performance tuning for I/O throughput. Hands-on experience building, implementing, operating, or scaling storage systems. Experience working with on-premises infrastructure and distributed storage environments. Hands-on experience with Ansible and Puppet for configuration management and automation. Familiarity with open-source, S3 API-compliant, and enterprise storage technologies. Working knowledge of the Hadoop ecosystem, including YARN. Experience with Java and Python. Experience with Prometheus-based monitoring and alerting. Familiarity with Kubernetes. Comfort working with AI-assisted development tools in an enterprise environment.
11/14/2026
Full time
Job Description About the Opportunity We are partnering with a leading quantitative trading firm seeking an experienced Storage Infrastructure Engineer to join its Data Engineering Infrastructure team in Chicago. This is a hands-on engineering role focused on building, scaling, and maintaining the large-scale storage and data infrastructure supporting high-frequency trading and quantitative research operations. The position involves working directly with on-premises infrastructure, Linux systems, distributed storage technologies, and enterprise storage platforms. As the firm's data requirements continue to grow, this engineer will contribute to the performance, reliability, and scalability of its underlying storage environment. Key Responsibilities Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage, and S3-compatible platforms. Build, maintain, and scale on-premises storage systems supporting data-intensive workloads. Tune Linux systems for I/O throughput, performance, and reliability. Automate infrastructure configuration and deployment using Ansible, Puppet, or similar automation tools. Implement monitoring and observability using Prometheus and related technologies. Partner with engineering teams to deliver reliable, well-architected data solutions, with a focus on storage and Kafka. Contribute to storage architecture, capacity planning, and infrastructure scalability. Work with distributed storage technologies and support the continued development of the firm's data infrastructure. Required Skills & Experience 5+ years of experience in systems engineering, with a strong focus on data storage infrastructure. Strong Linux fundamentals, including debugging, troubleshooting, and performance tuning for I/O throughput. Hands-on experience building, implementing, operating, or scaling storage systems. Experience working with on-premises infrastructure and distributed storage environments. Hands-on experience with Ansible and Puppet for configuration management and automation. Familiarity with open-source, S3 API-compliant, and enterprise storage technologies. Working knowledge of the Hadoop ecosystem, including YARN. Experience with Java and Python. Experience with Prometheus-based monitoring and alerting. Familiarity with Kubernetes. Comfort working with AI-assisted development tools in an enterprise environment.
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 Senior Full Stack Developer - React / .NET Employment Type: W2 Only Experience: 8-12 Years Location: Charlotte, NC Duration: 18-24 Months Position Overview We are seeking an experienced Full Stack Developer with strong expertise in React, .NET, and database technologies to join an internal application development team at a leading financial services organization. This team focuses on building and developing new internal tools and applications used across the organization. The ideal candidate will have a strong background in front-end development, backend engineering, and data analytics, with experience building applications that leverage complex datasets and support high-visibility dashboards. Candidates should be comfortable working across the full development lifecycle, collaborating with technical teams and business stakeholders to design, build, and maintain scalable applications. Key Responsibilities Develop and enhance internal applications and tools using React and .NET. Build responsive, user-friendly front-end interfaces using React. Develop backend services and application functionality using .NET. Design, integrate, and maintain REST APIs. Work extensively with PostgreSQL databases, including querying, data management, and optimization. Build and maintain data-driven applications and high-visibility dashboards. Integrate data and analytics capabilities into application development. Collaborate with developers, architects, and business stakeholders to understand requirements and deliver technical solutions. Troubleshoot application and database issues and ensure performance, scalability, and reliability. Contribute to the design and development of new internal tools and applications. Required Qualifications 8-12 years of professional software development experience. Strong hands-on experience with React (approximately 65% of the role). Strong experience with .NET (approximately 35% of the role). Solid experience with PostgreSQL and relational databases. Experience developing and integrating REST APIs. Strong database and data analytics background within application development. Experience building or maintaining data-driven applications and dashboards. Ability to work across front-end and backend development. Strong problem-solving, communication, and collaboration skills. Preferred Experience Previous experience building internal enterprise tools or applications. Experience developing analytics-focused applications and dashboards. Financial services or banking industry experience. Experience working with large datasets and complex database environments.
11/14/2026
Full time
Job Description Senior Full Stack Developer - React / .NET Employment Type: W2 Only Experience: 8-12 Years Location: Charlotte, NC Duration: 18-24 Months Position Overview We are seeking an experienced Full Stack Developer with strong expertise in React, .NET, and database technologies to join an internal application development team at a leading financial services organization. This team focuses on building and developing new internal tools and applications used across the organization. The ideal candidate will have a strong background in front-end development, backend engineering, and data analytics, with experience building applications that leverage complex datasets and support high-visibility dashboards. Candidates should be comfortable working across the full development lifecycle, collaborating with technical teams and business stakeholders to design, build, and maintain scalable applications. Key Responsibilities Develop and enhance internal applications and tools using React and .NET. Build responsive, user-friendly front-end interfaces using React. Develop backend services and application functionality using .NET. Design, integrate, and maintain REST APIs. Work extensively with PostgreSQL databases, including querying, data management, and optimization. Build and maintain data-driven applications and high-visibility dashboards. Integrate data and analytics capabilities into application development. Collaborate with developers, architects, and business stakeholders to understand requirements and deliver technical solutions. Troubleshoot application and database issues and ensure performance, scalability, and reliability. Contribute to the design and development of new internal tools and applications. Required Qualifications 8-12 years of professional software development experience. Strong hands-on experience with React (approximately 65% of the role). Strong experience with .NET (approximately 35% of the role). Solid experience with PostgreSQL and relational databases. Experience developing and integrating REST APIs. Strong database and data analytics background within application development. Experience building or maintaining data-driven applications and dashboards. Ability to work across front-end and backend development. Strong problem-solving, communication, and collaboration skills. Preferred Experience Previous experience building internal enterprise tools or applications. Experience developing analytics-focused applications and dashboards. Financial services or banking industry experience. Experience working with large datasets and complex database environments.
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 C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
11/14/2026
Full time
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
Job Description Senior Software Engineer AI / Identity NYC or San Francisco $150K-$200K + Equity Exciting opportunity to join an early-stage AI company building cutting-edge technology to combat deepfakes, synthetic identities and online fraud. They're developing a next-generation verification platform combining AI, biometrics, palm recognition and liveness detection to establish trust across digital interactions. The role: Own core services end-to-end, from architecture through to production. Drive technical decisions across architecture, APIs and data models. Build and scale backend services and frontend experiences. Take products from 0-1, working closely with engineering leadership. Set engineering standards and review AI-generated code. What they're looking for: 5-9 years' software engineering experience. Track record building products from 0-1 at a Seed-Series B startup. Strong Go (or comparable backend language). TypeScript and React experience. Excellent API design and data modelling skills. Strong technical ownership and decision-making. Tech: Go, TypeScript, React, Next.js, Kubernetes, Kafka, Redis, PostgreSQL, gRPC, Claude Code, Codex and Cursor. Location: NYC or San Francisco (US working hours). Salary: $150K-$200K + competitive equity. Visa: No sponsorship available. Existing US work authorisation required. Interested? Please apply!
11/14/2026
Full time
Job Description Senior Software Engineer AI / Identity NYC or San Francisco $150K-$200K + Equity Exciting opportunity to join an early-stage AI company building cutting-edge technology to combat deepfakes, synthetic identities and online fraud. They're developing a next-generation verification platform combining AI, biometrics, palm recognition and liveness detection to establish trust across digital interactions. The role: Own core services end-to-end, from architecture through to production. Drive technical decisions across architecture, APIs and data models. Build and scale backend services and frontend experiences. Take products from 0-1, working closely with engineering leadership. Set engineering standards and review AI-generated code. What they're looking for: 5-9 years' software engineering experience. Track record building products from 0-1 at a Seed-Series B startup. Strong Go (or comparable backend language). TypeScript and React experience. Excellent API design and data modelling skills. Strong technical ownership and decision-making. Tech: Go, TypeScript, React, Next.js, Kubernetes, Kafka, Redis, PostgreSQL, gRPC, Claude Code, Codex and Cursor. Location: NYC or San Francisco (US working hours). Salary: $150K-$200K + competitive equity. Visa: No sponsorship available. Existing US work authorisation required. Interested? Please apply!
Job Description Role: Solution / Application Architect (.net/Reactjs, Nodejs, GenAI, CI/CD) Location: Louisville, Kentucky (Onsite) • Hands on Microsoft Full Stack Technologies • Microservices, Cloud Native Architectures, serverless architectures • Single Page Architecture (SPA) and frameworks like React JS, Node JS. • Good understanding of AI Adoption: Drive the adoption of AI technologies in the Software Development Lifecycle (SDLC), helping teams to automate processes, improve efficiency, integrate Gen AI, Agentic AI, and cutting-edge. • Deep understanding of Architecture(s), Frameworks and Design Patterns. • Experience on solution and execution of IaaS, PaaS, SaaS based deployments etc. in multi Cloud environment - AWS, Azure, GCP • Working knowledge in Cloud resources - Storage, Networking, Security, Identity, Management. • Deep understanding of Data Architecture, Designing and Implementing Databases • Experience in Enterprise Integrations, API Management solutions • CI/CD, DevOps and agile delivery • App security knowledge • Enterprise Architecture Frameworks - TOGAF • Excellent Communication skills
11/14/2026
Full time
Job Description Role: Solution / Application Architect (.net/Reactjs, Nodejs, GenAI, CI/CD) Location: Louisville, Kentucky (Onsite) • Hands on Microsoft Full Stack Technologies • Microservices, Cloud Native Architectures, serverless architectures • Single Page Architecture (SPA) and frameworks like React JS, Node JS. • Good understanding of AI Adoption: Drive the adoption of AI technologies in the Software Development Lifecycle (SDLC), helping teams to automate processes, improve efficiency, integrate Gen AI, Agentic AI, and cutting-edge. • Deep understanding of Architecture(s), Frameworks and Design Patterns. • Experience on solution and execution of IaaS, PaaS, SaaS based deployments etc. in multi Cloud environment - AWS, Azure, GCP • Working knowledge in Cloud resources - Storage, Networking, Security, Identity, Management. • Deep understanding of Data Architecture, Designing and Implementing Databases • Experience in Enterprise Integrations, API Management solutions • CI/CD, DevOps and agile delivery • App security knowledge • Enterprise Architecture Frameworks - TOGAF • Excellent Communication skills
