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
Job Description Job Title: Embedded Software Engineer Location: San Diego, CA - work is 100% on-site Duration: 6+ months Key Responsibilities: Design, develop, integrate, and support production-quality embedded and network software for commercial and government communication systems, applications, and products. Own significant software components from architecture and design through implementation, integration, test, deployment, and sustaining engineering. Develop high-performance software and services in C/C++, with additional development in languages such as Python as appropriate. Design and implement software for Linux-based embedded and RTOS platforms, including multithreaded and event-driven applications, system services, device interfaces, and network applications. Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or a related technical discipline. 5+ years of professional software development experience Strong software development experience in C and/or C++. Solid understanding of computer networking, including IP, TCP, UDP, sockets, and common networking protocols. Experience debugging complex software and system-level issues using source-level debuggers, logs, packet captures, and other diagnostic tools. Preferred: Experience developing software for routers, gateways, modems, wireless devices, telecommunications equipment, or other networked embedded platforms. Strong understanding of Linux networking, including routing, interfaces, VLANs, bridging, firewalling, and network configuration. Experience with wireless communications technologies such as cellular, Wi-Fi, satellite, or other RF/networking systems. Experience with embedded Linux build environments, development toolchains, cross-compilation, and hardware/software integration. Familiarity with Yocto, Buildroot, OpenWrt, or similar embedded Linux environments.
11/14/2026
Full time
Job Description Job Title: Embedded Software Engineer Location: San Diego, CA - work is 100% on-site Duration: 6+ months Key Responsibilities: Design, develop, integrate, and support production-quality embedded and network software for commercial and government communication systems, applications, and products. Own significant software components from architecture and design through implementation, integration, test, deployment, and sustaining engineering. Develop high-performance software and services in C/C++, with additional development in languages such as Python as appropriate. Design and implement software for Linux-based embedded and RTOS platforms, including multithreaded and event-driven applications, system services, device interfaces, and network applications. Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or a related technical discipline. 5+ years of professional software development experience Strong software development experience in C and/or C++. Solid understanding of computer networking, including IP, TCP, UDP, sockets, and common networking protocols. Experience debugging complex software and system-level issues using source-level debuggers, logs, packet captures, and other diagnostic tools. Preferred: Experience developing software for routers, gateways, modems, wireless devices, telecommunications equipment, or other networked embedded platforms. Strong understanding of Linux networking, including routing, interfaces, VLANs, bridging, firewalling, and network configuration. Experience with wireless communications technologies such as cellular, Wi-Fi, satellite, or other RF/networking systems. Experience with embedded Linux build environments, development toolchains, cross-compilation, and hardware/software integration. Familiarity with Yocto, Buildroot, OpenWrt, or similar embedded Linux environments.
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.
Global Connect Technologies
Warrendale, Pennsylvania
Job Description Job Title: Embedded SDV Lead Location: Warrendale PA Job Description We are seeking an experienced SDV Lead to define and drive the Software-Defined Vehicle (SDV) strategy, roadmap, and execution across vehicle platforms. The role requires strong program management, strategic planning, cross-functional leadership, and an understanding of automotive software architecture, connected vehicle technologies, and software lifecycle management. Key Responsibilities Define and drive the SDV vision, strategy, and execution roadmap aligned with business objectives and global OEM strategies. Translate business goals into prioritized initiatives, programs, milestones, and long-term software innovation plans. Lead SDV transformation across vehicle platforms, applications, and lifecycle capabilities. Identify and prioritize SDV use cases, including infotainment, OTA updates, digital keys, voice user interfaces, and connected vehicle services. Collaborate with engineering, product management, business, and digital teams to establish program priorities, KPIs, milestones, and delivery plans. Partner with engineering teams on SDV architecture, including central compute platforms, zonal architecture, vehicle operating systems, middleware, APIs, cloud connectivity, and OTA infrastructure. Align SDV platform planning with technologies and ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Drive collaboration with global engineering teams, Tier-1 suppliers, technology partners, and business stakeholders. Manage vehicle software lifecycle capabilities, including OTA updates, feature activation, subscription-based features, software monetization, release management, and post-launch monitoring. Develop business cases and ROI models for ECU consolidation, cost optimization, software reuse, subscription revenue, and feature monetization. Track value realization against business objectives, vehicle volumes, pricing strategies, and customer lifetime value. Establish governance frameworks for milestone tracking, risk management, executive reporting, and continuous improvement. Assess organizational capability gaps across embedded software, cloud technologies, DevOps, engineering automation, and validation and testing. Support SDV innovation labs, prototyping environments, and simulation and validation platforms while promoting software development best practices. Required Skills and Qualifications Strong experience in SDV strategy, program management, automotive software, or vehicle platform transformation. Understanding of automotive SDV architecture, central compute, zonal architecture, middleware, vehicle operating systems, and hardware-software decoupling. Knowledge of connected vehicle technologies, OTA updates, digital services, and software lifecycle management. Familiarity with automotive software ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Experience in cross-functional program planning, stakeholder management, risk mitigation, and executive reporting. Ability to develop business cases, ROI models, KPIs, and value realization plans. Understanding of embedded software engineering, cloud technologies, DevOps, and software validation processes. Strong strategic thinking, communication, leadership, and decision-making skills. Preferred Experience Experience working with automotive OEMs, Tier-1 suppliers, or connected vehicle technology partners. Exposure to subscription-based vehicle features, software monetization, and digital services. Experience leading large-scale automotive software transformation programs. Knowledge of industry trends, competitor benchmarking, and emerging SDV technologies.
11/14/2026
Full time
Job Description Job Title: Embedded SDV Lead Location: Warrendale PA Job Description We are seeking an experienced SDV Lead to define and drive the Software-Defined Vehicle (SDV) strategy, roadmap, and execution across vehicle platforms. The role requires strong program management, strategic planning, cross-functional leadership, and an understanding of automotive software architecture, connected vehicle technologies, and software lifecycle management. Key Responsibilities Define and drive the SDV vision, strategy, and execution roadmap aligned with business objectives and global OEM strategies. Translate business goals into prioritized initiatives, programs, milestones, and long-term software innovation plans. Lead SDV transformation across vehicle platforms, applications, and lifecycle capabilities. Identify and prioritize SDV use cases, including infotainment, OTA updates, digital keys, voice user interfaces, and connected vehicle services. Collaborate with engineering, product management, business, and digital teams to establish program priorities, KPIs, milestones, and delivery plans. Partner with engineering teams on SDV architecture, including central compute platforms, zonal architecture, vehicle operating systems, middleware, APIs, cloud connectivity, and OTA infrastructure. Align SDV platform planning with technologies and ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Drive collaboration with global engineering teams, Tier-1 suppliers, technology partners, and business stakeholders. Manage vehicle software lifecycle capabilities, including OTA updates, feature activation, subscription-based features, software monetization, release management, and post-launch monitoring. Develop business cases and ROI models for ECU consolidation, cost optimization, software reuse, subscription revenue, and feature monetization. Track value realization against business objectives, vehicle volumes, pricing strategies, and customer lifetime value. Establish governance frameworks for milestone tracking, risk management, executive reporting, and continuous improvement. Assess organizational capability gaps across embedded software, cloud technologies, DevOps, engineering automation, and validation and testing. Support SDV innovation labs, prototyping environments, and simulation and validation platforms while promoting software development best practices. Required Skills and Qualifications Strong experience in SDV strategy, program management, automotive software, or vehicle platform transformation. Understanding of automotive SDV architecture, central compute, zonal architecture, middleware, vehicle operating systems, and hardware-software decoupling. Knowledge of connected vehicle technologies, OTA updates, digital services, and software lifecycle management. Familiarity with automotive software ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Experience in cross-functional program planning, stakeholder management, risk mitigation, and executive reporting. Ability to develop business cases, ROI models, KPIs, and value realization plans. Understanding of embedded software engineering, cloud technologies, DevOps, and software validation processes. Strong strategic thinking, communication, leadership, and decision-making skills. Preferred Experience Experience working with automotive OEMs, Tier-1 suppliers, or connected vehicle technology partners. Exposure to subscription-based vehicle features, software monetization, and digital services. Experience leading large-scale automotive software transformation programs. Knowledge of industry trends, competitor benchmarking, and emerging SDV technologies.
Job Description Title: Sr Firmware Engineer Location: Woodinville, WA OVERVIEW: LITEON designs and manufactures power supplies, keyboards, ODD, racks, enclosures, and liquid cooling for a variety of customers in the server, storage, networking, and consumer space. With headquarters in Taipei, Taiwan, and branch offices in the United States, LITEON is looking for a creative, best-in-class professional who will thrive in a fast-paced, highly technical environment. The successful candidate will have exceptional communication, leadership, and team-working skills and will be unafraid of stretching their talents in a dynamic organization where respect and knowledge are far more important than reporting structure. Collaboration with colleagues at all levels will be key to this person's success at LITEON. JOB DUTIES AND RESPONSIBILITIES: A Firmware Engineer is a key contributor in the development of embedded firmware for high-power products and power modules. This role is responsible for designing, developing, and maintaining firmware that enables reliable operation, monitoring, and control of power electronics systems. The Firmware Engineer works closely with hardware, system, and validation teams to ensure robust firmware solutions aligned with product requirements and customer needs. 1.Firmware Development: • Design, develop, and maintain embedded firmware for power module and high-power products, including control, monitoring, protection, and communication functions. 2.System Integration & Debugging: • Collaborate with hardware and system engineers to integrate firmware with power electronics, control circuits, and communication interfaces. • Perform firmware bring-up, debugging, and validation on prototype and production hardware. 3.Control & Power Application Support: • Support firmware implementation related to power control algorithms, system state management, fault handling, and diagnostics. • Assist in tuning and optimizing firmware performance for reliability, efficiency, and stability of power modules. 4.Testing & Validation: • Develop and execute firmware test plans, including unit testing, integration testing, and system-level validation. • Support compliance, reliability, and customer qualification testing activities. 5.Documentation & Cross-Functional Collaboration: • Create and maintain firmware design documentation, test reports, and release notes. • Work cross-functionally with R&D, manufacturing, and field teams to support product development and issue resolution. QUALIFICATIONS : Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. 5 10 years of experience in embedded firmware development, preferably in power electronics or power module products. Proficiency in C / C++ for embedded systems. Experience with microcontrollers, DSPs, or embedded processors used in power applications. Familiarity with power electronics systems, control concepts, and hardware-firmware interaction. Experience with debugging tools (e.g., JTAG, logic analyzer, oscilloscope). Solid understanding of power electronics and embedded system design. Develop and maintain firmware for AI Server PSU and Power Shelf products. Implement and optimize digital power control algorithms. Debug HW/FW interaction issues independently. Conduct firmware root cause analysis and failure investigation. 8.Tech Core Knowledge: Embedded System Architecture Digital Control Theory Power Electronics Fundamentals AC/DC and DC/DC Conversion Principles Digital Power Control Communication protocols PMBus/ I2C/ UART/ CAN/ RS485/Ethernet 9.Strong analytical, problem-solving, and debugging skills. 10.Ability to work in a fast-paced, cross-functional development environment. 11.Strong communication skills and a collaborative team mindset. PERSON SPECIFICATION: Require good communications and good interpersonal characteristics. Willing to learn. Self-motivated personality BENEFITS: As a full-time employee, you'll have access to LITEON's comprehensive benefits package, which includes medical, dental, vision, 401(k), and paid time off in compliance with US labor requirements. ADDITIONAL DETAILS: LITEON is committed to equal opportunities for all qualified individuals, and we welcome a diverse range of applicants. Please note that the responsibilities and duties of the position may change with or without notice, and we are committed to providing reasonable accommodation for individuals with disabilities to perform their essential functions.
11/14/2026
Full time
Job Description Title: Sr Firmware Engineer Location: Woodinville, WA OVERVIEW: LITEON designs and manufactures power supplies, keyboards, ODD, racks, enclosures, and liquid cooling for a variety of customers in the server, storage, networking, and consumer space. With headquarters in Taipei, Taiwan, and branch offices in the United States, LITEON is looking for a creative, best-in-class professional who will thrive in a fast-paced, highly technical environment. The successful candidate will have exceptional communication, leadership, and team-working skills and will be unafraid of stretching their talents in a dynamic organization where respect and knowledge are far more important than reporting structure. Collaboration with colleagues at all levels will be key to this person's success at LITEON. JOB DUTIES AND RESPONSIBILITIES: A Firmware Engineer is a key contributor in the development of embedded firmware for high-power products and power modules. This role is responsible for designing, developing, and maintaining firmware that enables reliable operation, monitoring, and control of power electronics systems. The Firmware Engineer works closely with hardware, system, and validation teams to ensure robust firmware solutions aligned with product requirements and customer needs. 1.Firmware Development: • Design, develop, and maintain embedded firmware for power module and high-power products, including control, monitoring, protection, and communication functions. 2.System Integration & Debugging: • Collaborate with hardware and system engineers to integrate firmware with power electronics, control circuits, and communication interfaces. • Perform firmware bring-up, debugging, and validation on prototype and production hardware. 3.Control & Power Application Support: • Support firmware implementation related to power control algorithms, system state management, fault handling, and diagnostics. • Assist in tuning and optimizing firmware performance for reliability, efficiency, and stability of power modules. 4.Testing & Validation: • Develop and execute firmware test plans, including unit testing, integration testing, and system-level validation. • Support compliance, reliability, and customer qualification testing activities. 5.Documentation & Cross-Functional Collaboration: • Create and maintain firmware design documentation, test reports, and release notes. • Work cross-functionally with R&D, manufacturing, and field teams to support product development and issue resolution. QUALIFICATIONS : Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. 5 10 years of experience in embedded firmware development, preferably in power electronics or power module products. Proficiency in C / C++ for embedded systems. Experience with microcontrollers, DSPs, or embedded processors used in power applications. Familiarity with power electronics systems, control concepts, and hardware-firmware interaction. Experience with debugging tools (e.g., JTAG, logic analyzer, oscilloscope). Solid understanding of power electronics and embedded system design. Develop and maintain firmware for AI Server PSU and Power Shelf products. Implement and optimize digital power control algorithms. Debug HW/FW interaction issues independently. Conduct firmware root cause analysis and failure investigation. 8.Tech Core Knowledge: Embedded System Architecture Digital Control Theory Power Electronics Fundamentals AC/DC and DC/DC Conversion Principles Digital Power Control Communication protocols PMBus/ I2C/ UART/ CAN/ RS485/Ethernet 9.Strong analytical, problem-solving, and debugging skills. 10.Ability to work in a fast-paced, cross-functional development environment. 11.Strong communication skills and a collaborative team mindset. PERSON SPECIFICATION: Require good communications and good interpersonal characteristics. Willing to learn. Self-motivated personality BENEFITS: As a full-time employee, you'll have access to LITEON's comprehensive benefits package, which includes medical, dental, vision, 401(k), and paid time off in compliance with US labor requirements. ADDITIONAL DETAILS: LITEON is committed to equal opportunities for all qualified individuals, and we welcome a diverse range of applicants. Please note that the responsibilities and duties of the position may change with or without notice, and we are committed to providing reasonable accommodation for individuals with disabilities to perform their essential functions.
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 Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.
11/14/2026
Full time
Job Description Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.
Job Description Staff Infrastructure Engineer (AWS / Kubernetes / Terraform) New York City, 4 - 5 days Onsite $230,000 - $280,000 Base + Equity Want to lead a production AWS platform through a major infrastructure upgrade and take ownership of how it scales, runs and recovers? We're looking for a Staff Infrastructure Engineer to join a fast-growing, VC-backed software company building AI products for enterprise finance teams. Its platform automates critical business workflows and needs to support a growing customer base, higher transaction volumes and increasingly complex security requirements. This is a senior, hands-on engineering role combining infrastructure architecture with day-to-day ownership of production systems. You'll lead the transition from managed container services to Kubernetes, define how the AWS environment is provisioned and operated, and build the tooling that makes deployments and infrastructure changes safer. You'll work directly with engineering leadership and a small platform team to set technical direction and deliver the work yourself. An early priority will be strengthening cloud security and building the infrastructure controls needed to support larger enterprise customers. The role Own the architecture and evolution of the company's production AWS infrastructure Lead the migration to Kubernetes and design the platform to handle increasing customer and workload demands Build and operate Kubernetes environments using Terraform, Docker and Helm Improve CI/CD pipelines, deployment workflows and infrastructure automation Implement practical cloud security controls to support enterprise and compliance requirements Own production reliability and observability, including metrics, logs, tracing, service-level objectives and alerting Lead incident response and postmortems, and follow through on changes that prevent repeat incidents Work with engineering leadership on architecture, technical trade-offs and long-term scalability Stay hands-on with production code, implementation and troubleshooting Requirements 7+ years in software engineering, infrastructure engineering or SRE A software engineering background and experience designing and building production infrastructure. Hands-on SRE and DevOps backgrounds are welcome Strong production experience with Terraform and Kubernetes, including Docker and Helm. AWS experience is strongly preferred Experience owning multiple production Kubernetes clusters A track record of building infrastructure from scratch or scaling it through significant growth Experience at a high-growth startup Working knowledge of information security and how to apply it in production Hands-on coding experience in one of TypeScript, Python, Rust or Java would be particularly useful but not essential, as is experience building observability systems and defining SLIs and SLOs. Compensation $230,000 - $280,000 base salary Competitive equity Up to 100% coverage of healthcare premiums Unlimited PTO (Paid Time Off) 12 weeks of parental leave Lunch provided daily New York City, 4 - 5 days per week in-office Visa transfers considered This is an opportunity to take Staff-level ownership of the AWS platform at a growing software company. You'll make the architecture decisions behind a major Kubernetes migration and stay close to the code, deployments and production systems as the business scales. If you're a Senior or Staff Infrastructure Engineer who enjoys designing systems and operating them in production, please send your resume to Jennifer Palmer at IT Recruitment Solutions.
11/14/2026
Full time
Job Description Staff Infrastructure Engineer (AWS / Kubernetes / Terraform) New York City, 4 - 5 days Onsite $230,000 - $280,000 Base + Equity Want to lead a production AWS platform through a major infrastructure upgrade and take ownership of how it scales, runs and recovers? We're looking for a Staff Infrastructure Engineer to join a fast-growing, VC-backed software company building AI products for enterprise finance teams. Its platform automates critical business workflows and needs to support a growing customer base, higher transaction volumes and increasingly complex security requirements. This is a senior, hands-on engineering role combining infrastructure architecture with day-to-day ownership of production systems. You'll lead the transition from managed container services to Kubernetes, define how the AWS environment is provisioned and operated, and build the tooling that makes deployments and infrastructure changes safer. You'll work directly with engineering leadership and a small platform team to set technical direction and deliver the work yourself. An early priority will be strengthening cloud security and building the infrastructure controls needed to support larger enterprise customers. The role Own the architecture and evolution of the company's production AWS infrastructure Lead the migration to Kubernetes and design the platform to handle increasing customer and workload demands Build and operate Kubernetes environments using Terraform, Docker and Helm Improve CI/CD pipelines, deployment workflows and infrastructure automation Implement practical cloud security controls to support enterprise and compliance requirements Own production reliability and observability, including metrics, logs, tracing, service-level objectives and alerting Lead incident response and postmortems, and follow through on changes that prevent repeat incidents Work with engineering leadership on architecture, technical trade-offs and long-term scalability Stay hands-on with production code, implementation and troubleshooting Requirements 7+ years in software engineering, infrastructure engineering or SRE A software engineering background and experience designing and building production infrastructure. Hands-on SRE and DevOps backgrounds are welcome Strong production experience with Terraform and Kubernetes, including Docker and Helm. AWS experience is strongly preferred Experience owning multiple production Kubernetes clusters A track record of building infrastructure from scratch or scaling it through significant growth Experience at a high-growth startup Working knowledge of information security and how to apply it in production Hands-on coding experience in one of TypeScript, Python, Rust or Java would be particularly useful but not essential, as is experience building observability systems and defining SLIs and SLOs. Compensation $230,000 - $280,000 base salary Competitive equity Up to 100% coverage of healthcare premiums Unlimited PTO (Paid Time Off) 12 weeks of parental leave Lunch provided daily New York City, 4 - 5 days per week in-office Visa transfers considered This is an opportunity to take Staff-level ownership of the AWS platform at a growing software company. You'll make the architecture decisions behind a major Kubernetes migration and stay close to the code, deployments and production systems as the business scales. If you're a Senior or Staff Infrastructure Engineer who enjoys designing systems and operating them in production, please send your resume to Jennifer Palmer at IT Recruitment Solutions.
Job Description 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 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 Quantitative Developer - Risk - Trading Desk Lead Financial Services Firm Hybrid On-Site Total Comp: Base + Cash Bonus - Advertised Basic Salary Only. The Opportunity A leading global financial services is seeking an experienced Quantitative Developer to build sophisticated risk infrastructure and quantitative analytics platforms supporting its equity derivatives trading desk. We are particularly interested in developers who combine strong Computer Science fundamentals with a deep understanding of quantitative risk methodologies and production-grade engineering. Key Responsibilities Design and develop scalable risk analytics platforms and quantitative infrastructure using Python. Build and enhance frameworks supporting equity factor models, portfolio exposures, risk attribution and performance analytics. Implement quantitative methodologies for factor decomposition, covariance estimation and portfolio risk measurement. Engineer high-performance systems capable of processing large volumes of market, security and portfolio data. Develop robust Python libraries, APIs and distributed calculation frameworks supporting quantitative risk models. Work closely with Risk Quants to translate statistical models and research methodologies into production-ready applications. Optimise computational efficiency, memory usage and processing performance across complex analytical workloads. Contribute to software architecture, data pipelines and engineering standards across the risk technology platform. Requirements 5+ years of professional Quantitative Development or Software Engineering experience within financial markets. Advanced Python software engineering expertise, including object-oriented design, algorithms, data structures and application architecture. Proven experience building production-grade Python applications, libraries or quantitative platforms - not simply Python scripting or data analysis. Strong understanding of equity factor risk models, including their construction, implementation and practical application. Experience with portfolio risk analytics, factor exposures, risk attribution or quantitative modelling. Strong knowledge of SQL, data engineering and large-scale financial datasets. Understanding of distributed computing, performance optimisation and scalable backend systems. Academic background in Computer Science, Mathematics, Statistics, Physics, Engineering or a related quantitative discipline. Ability to collaborate effectively with Quantitative Researchers, Risk professionals and Software Engineers.
11/14/2026
Full time
Job Description Quantitative Developer - Risk - Trading Desk Lead Financial Services Firm Hybrid On-Site Total Comp: Base + Cash Bonus - Advertised Basic Salary Only. The Opportunity A leading global financial services is seeking an experienced Quantitative Developer to build sophisticated risk infrastructure and quantitative analytics platforms supporting its equity derivatives trading desk. We are particularly interested in developers who combine strong Computer Science fundamentals with a deep understanding of quantitative risk methodologies and production-grade engineering. Key Responsibilities Design and develop scalable risk analytics platforms and quantitative infrastructure using Python. Build and enhance frameworks supporting equity factor models, portfolio exposures, risk attribution and performance analytics. Implement quantitative methodologies for factor decomposition, covariance estimation and portfolio risk measurement. Engineer high-performance systems capable of processing large volumes of market, security and portfolio data. Develop robust Python libraries, APIs and distributed calculation frameworks supporting quantitative risk models. Work closely with Risk Quants to translate statistical models and research methodologies into production-ready applications. Optimise computational efficiency, memory usage and processing performance across complex analytical workloads. Contribute to software architecture, data pipelines and engineering standards across the risk technology platform. Requirements 5+ years of professional Quantitative Development or Software Engineering experience within financial markets. Advanced Python software engineering expertise, including object-oriented design, algorithms, data structures and application architecture. Proven experience building production-grade Python applications, libraries or quantitative platforms - not simply Python scripting or data analysis. Strong understanding of equity factor risk models, including their construction, implementation and practical application. Experience with portfolio risk analytics, factor exposures, risk attribution or quantitative modelling. Strong knowledge of SQL, data engineering and large-scale financial datasets. Understanding of distributed computing, performance optimisation and scalable backend systems. Academic background in Computer Science, Mathematics, Statistics, Physics, Engineering or a related quantitative discipline. Ability to collaborate effectively with Quantitative Researchers, Risk professionals and Software Engineers.
Job Description A leading quantitative trading firm is looking for an Embedded C++ Software Engineer to join its high-performance engineering team. This is an opportunity to work on some of the most latency-sensitive systems in electronic trading, where software performance has a direct impact on the business. You'll work across the trading technology stack, building and optimizing high-performance, low-latency C++ systems and solving complex systems-level performance problems. The role sits close to both the hardware and trading environments, giving engineers significant ownership over the technology they build. What you'll work on: Design and develop low-latency, high-throughput trading systems Optimize C++ applications for latency, throughput, and reliability Work at the intersection of software and specialized hardware, including FPGA/ASIC-based systems Identify performance bottlenecks across CPU, memory, networking, and system architecture Collaborate closely with hardware engineers, traders, and other engineering teams Own projects from design and development through production deployment and optimization What they're looking for: 2+ years of professional modern C++ development experience Strong understanding of performance-sensitive or real-time systems Experience with Linux, multithreading, concurrency, networking, memory management, and/or CPU architecture Experience developing software that interacts closely with hardware is highly desirable Low-latency trading experience is a plus, but strong engineers from other performance-critical environments are encouraged to apply BS/MS in Computer Science, Computer Engineering, or a related technical field This is particularly well suited to engineers who enjoy getting deep into C++ performance, systems internals, hardware interaction, and latency optimization while working in an environment where engineering is central to the business.
11/14/2026
Full time
Job Description A leading quantitative trading firm is looking for an Embedded C++ Software Engineer to join its high-performance engineering team. This is an opportunity to work on some of the most latency-sensitive systems in electronic trading, where software performance has a direct impact on the business. You'll work across the trading technology stack, building and optimizing high-performance, low-latency C++ systems and solving complex systems-level performance problems. The role sits close to both the hardware and trading environments, giving engineers significant ownership over the technology they build. What you'll work on: Design and develop low-latency, high-throughput trading systems Optimize C++ applications for latency, throughput, and reliability Work at the intersection of software and specialized hardware, including FPGA/ASIC-based systems Identify performance bottlenecks across CPU, memory, networking, and system architecture Collaborate closely with hardware engineers, traders, and other engineering teams Own projects from design and development through production deployment and optimization What they're looking for: 2+ years of professional modern C++ development experience Strong understanding of performance-sensitive or real-time systems Experience with Linux, multithreading, concurrency, networking, memory management, and/or CPU architecture Experience developing software that interacts closely with hardware is highly desirable Low-latency trading experience is a plus, but strong engineers from other performance-critical environments are encouraged to apply BS/MS in Computer Science, Computer Engineering, or a related technical field This is particularly well suited to engineers who enjoy getting deep into C++ performance, systems internals, hardware interaction, and latency optimization while working in an environment where engineering is central to the business.
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 Job Title: Cloud Solutions Architect / Cloud Engineer /Application Architect- AI Agentic, Integration & Architecture Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Duration: Long Term Contract Certification/Experience: Cloud certification and additional relevant certification Position Summary We are seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. 1. AI Agentic Architecture -Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. - Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). - Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture - Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. - Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE - Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. - Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. - Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration - Guide application modernization and cloud design on Azure, AWS, and hybrid environments. - Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and security requirements. - Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Qualifications 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication
11/14/2026
Full time
Job Description Job Title: Cloud Solutions Architect / Cloud Engineer /Application Architect- AI Agentic, Integration & Architecture Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Duration: Long Term Contract Certification/Experience: Cloud certification and additional relevant certification Position Summary We are seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. 1. AI Agentic Architecture -Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. - Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). - Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture - Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. - Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE - Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. - Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. - Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration - Guide application modernization and cloud design on Azure, AWS, and hybrid environments. - Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and security requirements. - Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Qualifications 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication
