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 Senior Technology Manager - Technology & Global Operations Full-Time Direct Hire Albertville, Alabama 100% Onsite Base Salary + Annual Incentive Excellent Benefits Lead Technology. Drive Business Performance. We are seeking an experienced Senior Technology Manager to lead global technology operations, application development initiatives, and diverse technical teams within a Transportation or Manufacturing environment . This is a high-visibility leadership opportunity for someone who combines strong technology knowledge with business acumen, customer relationship management, and global operational experience. You will partner with executive leadership and customers worldwide to drive technology strategy, operational excellence, and successful project delivery. Key Responsibilities Lead global technology operations, application development initiatives, and enterprise technology projects. Manage diverse technical teams, including software engineering, cloud, data, and support personnel. Oversee 24/7 global support operations, service levels, and customer commitments. Partner with senior executives and external customers to align technology solutions with business objectives. Manage project budgets, resources, commercial contracts, vendors, and delivery timelines. Drive operational improvements while mentoring and developing technical teams. Qualifications Bachelor's degree in IT or equivalent experience. 10+ years of progressive technology leadership experience. Required: Previous technology leadership experience in either the Transportation or Manufacturing industry. Background overseeing application development and enterprise technology solutions. Experience managing global teams and 24/7 operations with demanding SLAs. Strong customer-facing, executive communication, and commercial management skills. Broad understanding of cloud, cybersecurity, software development, and enterprise applications. Ability to lead strategically without being a hands-on technical contributor. Willingness to travel approximately 25%. Global leadership responsibilities and executive visibility. Work Location: Albertville, Alabama. This is a 100% onsite position, five days per week. No remote or hybrid option.
11/14/2026
Full time
Job Description Senior Technology Manager - Technology & Global Operations Full-Time Direct Hire Albertville, Alabama 100% Onsite Base Salary + Annual Incentive Excellent Benefits Lead Technology. Drive Business Performance. We are seeking an experienced Senior Technology Manager to lead global technology operations, application development initiatives, and diverse technical teams within a Transportation or Manufacturing environment . This is a high-visibility leadership opportunity for someone who combines strong technology knowledge with business acumen, customer relationship management, and global operational experience. You will partner with executive leadership and customers worldwide to drive technology strategy, operational excellence, and successful project delivery. Key Responsibilities Lead global technology operations, application development initiatives, and enterprise technology projects. Manage diverse technical teams, including software engineering, cloud, data, and support personnel. Oversee 24/7 global support operations, service levels, and customer commitments. Partner with senior executives and external customers to align technology solutions with business objectives. Manage project budgets, resources, commercial contracts, vendors, and delivery timelines. Drive operational improvements while mentoring and developing technical teams. Qualifications Bachelor's degree in IT or equivalent experience. 10+ years of progressive technology leadership experience. Required: Previous technology leadership experience in either the Transportation or Manufacturing industry. Background overseeing application development and enterprise technology solutions. Experience managing global teams and 24/7 operations with demanding SLAs. Strong customer-facing, executive communication, and commercial management skills. Broad understanding of cloud, cybersecurity, software development, and enterprise applications. Ability to lead strategically without being a hands-on technical contributor. Willingness to travel approximately 25%. Global leadership responsibilities and executive visibility. Work Location: Albertville, Alabama. This is a 100% onsite position, five days per week. No remote or hybrid option.
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description 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 Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.
11/14/2026
Full time
Job Description Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.
Job Description AI / Forward Deployed Engineer Requires 4+ years of full-time professional experience after completing a degree. Candidates must have existing US work authorization. H1B transfers and TN status are accepted. No new visa sponsorship, OPT, or CPT. We are an executive search firm focused primarily on technology hiring across the buy side, working with some of the most prominent hedge funds and investment firms in the market. We've had significant success placing high-caliber technology talent with our clients and are continuing to build out our pipeline as new searches come online. AI has quickly become one of our most active areas of sear ch. We are currently working on several AI / Forward Deployed Engineering searches with leading investment firms and have already started interviewing top candidates for these opportunities. We're looking for highly qualified engineers with strong software engineering fundamentals and hands-on AI experience who can work directly with investment, research, and business teams to build practical solutions. What you'll be doing Work directly with investment, research, and other business teams to understand their workflows and identify where AI can add value. Build and deploy AI-powered applications, internal tools, and workflows. Work with LLMs, APIs, proprietary data, and third-party data sources. Build solutions around research automation, information retrieval, document analysis, data extraction, and other internal workflows. Take projects from an initial idea through prototype and into production. Work closely with users, gather feedback, and continuously improve what you build. Partner with engineering and infrastructure teams around deployment, security, scalability, and reliability. What we're looking for Strong software engineering background, ideally with Python as a primary language. Hands-on experience building with LLMs / Generative AI. Experience working with APIs, databases, data, and cloud environments. Understanding of areas such as RAG, agents, embeddings, prompt engineering, or LLM evaluation. Strong problem-solving skills and the ability to work with limited direction. Comfortable working directly with senior users and translating business problems into technical solutions. Strong academic background in Computer Science, Engineering, Mathematics, or a related field. Financial markets experience is a plus
11/14/2026
Full time
Job Description AI / Forward Deployed Engineer Requires 4+ years of full-time professional experience after completing a degree. Candidates must have existing US work authorization. H1B transfers and TN status are accepted. No new visa sponsorship, OPT, or CPT. We are an executive search firm focused primarily on technology hiring across the buy side, working with some of the most prominent hedge funds and investment firms in the market. We've had significant success placing high-caliber technology talent with our clients and are continuing to build out our pipeline as new searches come online. AI has quickly become one of our most active areas of sear ch. We are currently working on several AI / Forward Deployed Engineering searches with leading investment firms and have already started interviewing top candidates for these opportunities. We're looking for highly qualified engineers with strong software engineering fundamentals and hands-on AI experience who can work directly with investment, research, and business teams to build practical solutions. What you'll be doing Work directly with investment, research, and other business teams to understand their workflows and identify where AI can add value. Build and deploy AI-powered applications, internal tools, and workflows. Work with LLMs, APIs, proprietary data, and third-party data sources. Build solutions around research automation, information retrieval, document analysis, data extraction, and other internal workflows. Take projects from an initial idea through prototype and into production. Work closely with users, gather feedback, and continuously improve what you build. Partner with engineering and infrastructure teams around deployment, security, scalability, and reliability. What we're looking for Strong software engineering background, ideally with Python as a primary language. Hands-on experience building with LLMs / Generative AI. Experience working with APIs, databases, data, and cloud environments. Understanding of areas such as RAG, agents, embeddings, prompt engineering, or LLM evaluation. Strong problem-solving skills and the ability to work with limited direction. Comfortable working directly with senior users and translating business problems into technical solutions. Strong academic background in Computer Science, Engineering, Mathematics, or a related field. Financial markets experience is a plus
Job Description Position Overview: We are seeking an experienced Senior Cloud Automation Engineer to support a large-scale enterprise cloud transformation initiative. The organization currently operates a significant on-premises VMware infrastructure and is looking to migrate substantial workloads to the cloud while developing new cloud-native capabilities. The ideal candidate will have strong experience in infrastructure automation, Infrastructure as Code (IaC), GitOps methodologies, and cloud engineering. This individual will play a key role in automating infrastructure provisioning, supporting virtual machine migrations, and enabling the organization's broader cloud adoption strategy across internal business systems, back-office applications, and customer-facing solutions. Key Responsibilities: Design, develop, and maintain infrastructure automation solutions using Terraform, Ansible, and GitOps practices . Support the migration of existing on-premises VMware virtual machines and enterprise workloads into cloud environments. Develop Infrastructure as Code (IaC) solutions to automate cloud infrastructure provisioning, configuration, and lifecycle management. Establish and maintain GitOps workflows and CI/CD pipelines to support consistent, repeatable infrastructure deployments. Collaborate with infrastructure, networking, security, and application teams to assess workload readiness and execute cloud migration strategies. Support the deployment of new cloud-native applications and infrastructure for internal operations, back-office systems, and customer-facing services. Automate configuration management, deployment, monitoring, and operational tasks across hybrid cloud environments. Implement infrastructure standards and automation best practices to improve scalability, reliability, security, and operational efficiency. Assist with cloud environment optimization, including resource management, performance monitoring, and cost efficiency. Identify opportunities to leverage AI-enabled tools and emerging technologies to improve infrastructure automation and operational efficiency. Develop technical documentation, reusable automation modules, and standardized deployment processes. Required Qualifications: 5+ years of experience in infrastructure engineering, cloud engineering, DevOps, or infrastructure automation. Strong hands-on experience with Terraform for Infrastructure as Code. Strong experience with Ansible for configuration management and automated deployment. Experience implementing GitOps workflows using Git-based repositories and CI/CD tooling. Experience managing and supporting on-premises VMware vSphere / ESXi environments. Demonstrated experience migrating virtual machines, applications, or infrastructure workloads from on-premises environments to public cloud platforms. Hands-on experience with at least one major cloud provider, preferably Microsoft Azure or AWS. Proficiency with scripting languages such as Python, PowerShell, or Bash. Understanding of cloud networking, identity and access management, security, storage, and infrastructure monitoring. Experience supporting hybrid infrastructure environments and enterprise cloud adoption initiatives. Strong troubleshooting, analytical, documentation, and cross-functional communication skills. Preferred Qualifications: Experience with Microsoft Azure, including Azure Virtual Machines, Azure Migrate, Azure DevOps, and Azure infrastructure services. Experience with AWS and/or multicloud environments. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with GitHub Actions, GitLab CI/CD, or Azure DevOps Pipelines. Understanding of cloud migration frameworks, landing zones, and infrastructure modernization strategies. Experience utilizing AI-assisted coding, infrastructure automation, AIOps, or intelligent monitoring technologies. Familiarity with cloud security, governance, and compliance frameworks. Relevant certifications such as HashiCorp Terraform Associate, Microsoft Azure Administrator, Azure DevOps Engineer Expert, or AWS certifications. Ideal Candidate Profile: The successful candidate will be a hands-on engineer who is equally comfortable working within traditional VMware infrastructure and modern cloud environments. This individual should be capable of building scalable automation frameworks, contributing directly to enterprise cloud migration efforts, and enabling new cloud-based solutions. The position requires someone who can execute technical work independently while collaborating closely with internal teams to accelerate cloud adoption and infrastructure modernization. Work Location Requirement: This position requires working onsite in Reston, Virginia, five days per week. Work Authorization: U.S. Citizen or Green Card
11/14/2026
Full time
Job Description Position Overview: We are seeking an experienced Senior Cloud Automation Engineer to support a large-scale enterprise cloud transformation initiative. The organization currently operates a significant on-premises VMware infrastructure and is looking to migrate substantial workloads to the cloud while developing new cloud-native capabilities. The ideal candidate will have strong experience in infrastructure automation, Infrastructure as Code (IaC), GitOps methodologies, and cloud engineering. This individual will play a key role in automating infrastructure provisioning, supporting virtual machine migrations, and enabling the organization's broader cloud adoption strategy across internal business systems, back-office applications, and customer-facing solutions. Key Responsibilities: Design, develop, and maintain infrastructure automation solutions using Terraform, Ansible, and GitOps practices . Support the migration of existing on-premises VMware virtual machines and enterprise workloads into cloud environments. Develop Infrastructure as Code (IaC) solutions to automate cloud infrastructure provisioning, configuration, and lifecycle management. Establish and maintain GitOps workflows and CI/CD pipelines to support consistent, repeatable infrastructure deployments. Collaborate with infrastructure, networking, security, and application teams to assess workload readiness and execute cloud migration strategies. Support the deployment of new cloud-native applications and infrastructure for internal operations, back-office systems, and customer-facing services. Automate configuration management, deployment, monitoring, and operational tasks across hybrid cloud environments. Implement infrastructure standards and automation best practices to improve scalability, reliability, security, and operational efficiency. Assist with cloud environment optimization, including resource management, performance monitoring, and cost efficiency. Identify opportunities to leverage AI-enabled tools and emerging technologies to improve infrastructure automation and operational efficiency. Develop technical documentation, reusable automation modules, and standardized deployment processes. Required Qualifications: 5+ years of experience in infrastructure engineering, cloud engineering, DevOps, or infrastructure automation. Strong hands-on experience with Terraform for Infrastructure as Code. Strong experience with Ansible for configuration management and automated deployment. Experience implementing GitOps workflows using Git-based repositories and CI/CD tooling. Experience managing and supporting on-premises VMware vSphere / ESXi environments. Demonstrated experience migrating virtual machines, applications, or infrastructure workloads from on-premises environments to public cloud platforms. Hands-on experience with at least one major cloud provider, preferably Microsoft Azure or AWS. Proficiency with scripting languages such as Python, PowerShell, or Bash. Understanding of cloud networking, identity and access management, security, storage, and infrastructure monitoring. Experience supporting hybrid infrastructure environments and enterprise cloud adoption initiatives. Strong troubleshooting, analytical, documentation, and cross-functional communication skills. Preferred Qualifications: Experience with Microsoft Azure, including Azure Virtual Machines, Azure Migrate, Azure DevOps, and Azure infrastructure services. Experience with AWS and/or multicloud environments. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with GitHub Actions, GitLab CI/CD, or Azure DevOps Pipelines. Understanding of cloud migration frameworks, landing zones, and infrastructure modernization strategies. Experience utilizing AI-assisted coding, infrastructure automation, AIOps, or intelligent monitoring technologies. Familiarity with cloud security, governance, and compliance frameworks. Relevant certifications such as HashiCorp Terraform Associate, Microsoft Azure Administrator, Azure DevOps Engineer Expert, or AWS certifications. Ideal Candidate Profile: The successful candidate will be a hands-on engineer who is equally comfortable working within traditional VMware infrastructure and modern cloud environments. This individual should be capable of building scalable automation frameworks, contributing directly to enterprise cloud migration efforts, and enabling new cloud-based solutions. The position requires someone who can execute technical work independently while collaborating closely with internal teams to accelerate cloud adoption and infrastructure modernization. Work Location Requirement: This position requires working onsite in Reston, Virginia, five days per week. Work Authorization: U.S. Citizen or Green Card
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 Job Title: Cloud Solutions Architect / Cloud Engineer /Application Architect- AI Agentic, Integration & Architecture Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Duration: Long Term Contract Certification/Experience: Cloud certification and additional relevant certification Position Summary We are seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. 1. AI Agentic Architecture -Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. - Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). - Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture - Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. - Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE - Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. - Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. - Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration - Guide application modernization and cloud design on Azure, AWS, and hybrid environments. - Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and security requirements. - Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Qualifications 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication
11/14/2026
Full time
Job Description Job Title: Cloud Solutions Architect / Cloud Engineer /Application Architect- AI Agentic, Integration & Architecture Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Duration: Long Term Contract Certification/Experience: Cloud certification and additional relevant certification Position Summary We are seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. 1. AI Agentic Architecture -Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. - Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). - Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture - Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. - Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE - Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. - Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. - Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration - Guide application modernization and cloud design on Azure, AWS, and hybrid environments. - Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and security requirements. - Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Qualifications 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication
Job Description End Client: Metropolitan Transportation Authority (MTA) Job Title: Senior AI & Cloud Solutions Architect Duration: 12 months + Extension Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Number of Hours: 37.5 Hours a week Interview Type: Webcam or In-Person Ceipal ID: MTA_AI122_MA Job Code: 6122-1 Scope of Project: The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. Responsibilities: 1. AI Agentic Architecture Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration Guide application modernization and cloud design on Azure, AWS, and hybrid environments. Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and MTA security requirements. Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Required/Preferred Skills: 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication. Cloud certification and additional relevant certification preferred. Expertise in agentic AI architecture, multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Experience with enterprise systems and APIs, MCP, and event-driven triggers. Knowledge of API-led, event-driven, and messaging integration patterns, API lifecycle, and gateway strategy. Experience with legacy, SaaS, and cloud-native integration. Experience developing application, integration, API, and AI architecture standards and reference architectures. Experience establishing and operating an Architecture Center of Excellence (COE), including governance forums, design reviews, training, and playbooks. Knowledge of Azure, AWS, hybrid cloud environments, NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/ contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. If you are considering applying for a position with V Group, or in partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. Please share my contact information with others working in Information Technology. Website: LinkedIn: -group/ Facebook: Twitter:
11/14/2026
Full time
Job Description End Client: Metropolitan Transportation Authority (MTA) Job Title: Senior AI & Cloud Solutions Architect Duration: 12 months + Extension Location: New York, NY (Hybrid - 3 Days Onsite, 2 Days Remote) Number of Hours: 37.5 Hours a week Interview Type: Webcam or In-Person Ceipal ID: MTA_AI122_MA Job Code: 6122-1 Scope of Project: The MTA is seeking a Senior Cloud Solutions Architect / Cloud Engineer/Application Architect with deep expertise in AI agentic architecture, enterprise integration, and architecture standards. This hands-on role designs agent-based and AI-enabled solutions, defines integration patterns, publishes application architecture standards, and helps establish an Architecture Center of Excellence (COE). The architect will work in Azure, AWS, and hybrid environments. Responsibilities: 1. AI Agentic Architecture Design reference architectures for agentic AI: multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Define secure patterns for integrating agents with enterprise systems and APIs (e.g., MCP, event-driven triggers). Establish guardrails for agent identity, access, auditability, observability, evaluation, and cost. 2. Integration Architecture Design and govern API-led, event-driven, and messaging integration patterns, including API lifecycle and gateway strategy. Define integration patterns for legacy, SaaS, and cloud-native systems. 3. Standards & Architecture COE Develop, publish, and maintain application, integration, API, and AI architecture standards and reference architectures. Help establish and operate the COE: charter, governance forums, design reviews, training, and playbooks. Define COE and standards-adoption metrics in coordination with AI IT adoption tracking. 4. Modernization, Security & Collaboration Guide application modernization and cloud design on Azure, AWS, and hybrid environments. Align designs with NIST (incl. AI RMF), CIS, ISO 27001, and MTA security requirements. Partner with product, engineering, DevOps, and Cybersecurity teams; communicate clearly to business and technical stakeholders. Required/Preferred Skills: 10+ years of application/enterprise architecture experience, including cloud-native design on Azure and/or AWS. Experience delivering AI/LLM or agentic solutions in an enterprise. Experience authoring standards and operating an architecture COE or review board. Strong integration/API expertise and executive-level communication. Cloud certification and additional relevant certification preferred. Expertise in agentic AI architecture, multi-agent orchestration, tool calling, RAG, and human-in-the-loop controls. Experience with enterprise systems and APIs, MCP, and event-driven triggers. Knowledge of API-led, event-driven, and messaging integration patterns, API lifecycle, and gateway strategy. Experience with legacy, SaaS, and cloud-native integration. Experience developing application, integration, API, and AI architecture standards and reference architectures. Experience establishing and operating an Architecture Center of Excellence (COE), including governance forums, design reviews, training, and playbooks. Knowledge of Azure, AWS, hybrid cloud environments, NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/ contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. If you are considering applying for a position with V Group, or in partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. Please share my contact information with others working in Information Technology. Website: LinkedIn: -group/ Facebook: Twitter:
Job Description Senior Software Integration Engineer Baltimore, MD Hybrid: 3 days onsite per week Full-time, direct-hire opportunity We're seeking a Senior SW Integration Engineer to build and support integrations across enterprise applications and data platforms. This role requires strong backend engineering skills and experience taking solutions from business requirements through development, testing, and production deployment. What you'll do: Design and build integrations connecting enterprise systems through REST APIs and databases. Develop data transformation, validation, and reconciliation workflows. Translate business requirements into practical technical solutions. Use Git, testing, and secure credential management throughout development. Participate in controlled production releases, monitoring, and troubleshooting. Collaborate with engineering teams and business stakeholders throughout the solution lifecycle. What we're looking for: Ideally 5+ years of experience in backend software development, integration engineering, or data engineering. Hands-on experience building API integrations and working with SQL and relational databases. Demonstrated experience delivering and supporting solutions in production. Familiarity with source control, Agile development, testing, and release processes. Strong technical problem-solving skills and the ability to explain your implementation decisions. Snowflake experience strongly preferred; Python and Boomi or similar integration platform experience are valuable. Candidates should be comfortable discussing a solution they personally helped deliver-including the requirements, API interactions, data handling, security, and production release. This is an opportunity to apply software engineering skills to connecting enterprise platforms and automating business processes. Please apply to the role to be considered.
11/14/2026
Full time
Job Description Senior Software Integration Engineer Baltimore, MD Hybrid: 3 days onsite per week Full-time, direct-hire opportunity We're seeking a Senior SW Integration Engineer to build and support integrations across enterprise applications and data platforms. This role requires strong backend engineering skills and experience taking solutions from business requirements through development, testing, and production deployment. What you'll do: Design and build integrations connecting enterprise systems through REST APIs and databases. Develop data transformation, validation, and reconciliation workflows. Translate business requirements into practical technical solutions. Use Git, testing, and secure credential management throughout development. Participate in controlled production releases, monitoring, and troubleshooting. Collaborate with engineering teams and business stakeholders throughout the solution lifecycle. What we're looking for: Ideally 5+ years of experience in backend software development, integration engineering, or data engineering. Hands-on experience building API integrations and working with SQL and relational databases. Demonstrated experience delivering and supporting solutions in production. Familiarity with source control, Agile development, testing, and release processes. Strong technical problem-solving skills and the ability to explain your implementation decisions. Snowflake experience strongly preferred; Python and Boomi or similar integration platform experience are valuable. Candidates should be comfortable discussing a solution they personally helped deliver-including the requirements, API interactions, data handling, security, and production release. This is an opportunity to apply software engineering skills to connecting enterprise platforms and automating business processes. Please apply to the role to be considered.
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
11/14/2026
Full time
Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.
Job Description Lead DevOps Engineer Job Description We are seeking an experienced Lead DevOps Engineer to drive the architecture, development, and implementation of enterprise cloud infrastructure and automation solutions. This hands-on leadership role will focus on AWS cloud environments, Infrastructure as Code, CI/CD pipelines, and cloud-native technologies while partnering with product, engineering, and client stakeholders to deliver scalable, secure, and reliable solutions. Key Responsibilities Lead the design and implementation of DevOps strategies, cloud architecture, and infrastructure automation. Build and optimize CI/CD pipelines and automated workflows using Terraform, Jenkins, GitHub Actions, and related tools. Architect and deploy cloud-native applications and infrastructure within AWS environments. Establish best practices for cloud security, infrastructure management, application deployment, and operational reliability. Collaborate with engineering and product teams to solve complex technical challenges and drive delivery. Provide technical leadership and mentorship while evaluating and introducing new cloud technologies. Communicate architectural decisions and technical solutions to both technical teams and client stakeholders. Required Qualifications 12+ years of experience in DevOps, cloud infrastructure, and automation, including 5+ years in a senior or technical leadership role. Strong hands-on expertise with AWS cloud services and cloud-native architecture. Advanced experience with Terraform and Infrastructure as Code. Expertise in CI/CD tools such as GitHub Actions and Jenkins. Experience with Docker and Kubernetes, along with cloud deployment and orchestration practices. Strong understanding of cloud security, software architecture, and Agile development methodologies. Proficiency in at least one programming language, preferably Python. Excellent communication, problem-solving, and technical leadership skills. Preferred Qualifications Experience with AWS Lambda, serverless architecture, CloudFormation, CDK, and Helm. Knowledge of AWS IAM, HashiCorp Vault, CyberArk, and cloud security practices. Familiarity with AWS database services, including Aurora and DynamoDB. Exposure to AI infrastructure and services such as AWS Bedrock, AgentCore, LLM gateways, and LangChain. Experience with AI coding assistants such as Claude Code, Codex, or Cursor and AI-driven software development practices.
11/14/2026
Full time
Job Description Lead DevOps Engineer Job Description We are seeking an experienced Lead DevOps Engineer to drive the architecture, development, and implementation of enterprise cloud infrastructure and automation solutions. This hands-on leadership role will focus on AWS cloud environments, Infrastructure as Code, CI/CD pipelines, and cloud-native technologies while partnering with product, engineering, and client stakeholders to deliver scalable, secure, and reliable solutions. Key Responsibilities Lead the design and implementation of DevOps strategies, cloud architecture, and infrastructure automation. Build and optimize CI/CD pipelines and automated workflows using Terraform, Jenkins, GitHub Actions, and related tools. Architect and deploy cloud-native applications and infrastructure within AWS environments. Establish best practices for cloud security, infrastructure management, application deployment, and operational reliability. Collaborate with engineering and product teams to solve complex technical challenges and drive delivery. Provide technical leadership and mentorship while evaluating and introducing new cloud technologies. Communicate architectural decisions and technical solutions to both technical teams and client stakeholders. Required Qualifications 12+ years of experience in DevOps, cloud infrastructure, and automation, including 5+ years in a senior or technical leadership role. Strong hands-on expertise with AWS cloud services and cloud-native architecture. Advanced experience with Terraform and Infrastructure as Code. Expertise in CI/CD tools such as GitHub Actions and Jenkins. Experience with Docker and Kubernetes, along with cloud deployment and orchestration practices. Strong understanding of cloud security, software architecture, and Agile development methodologies. Proficiency in at least one programming language, preferably Python. Excellent communication, problem-solving, and technical leadership skills. Preferred Qualifications Experience with AWS Lambda, serverless architecture, CloudFormation, CDK, and Helm. Knowledge of AWS IAM, HashiCorp Vault, CyberArk, and cloud security practices. Familiarity with AWS database services, including Aurora and DynamoDB. Exposure to AI infrastructure and services such as AWS Bedrock, AgentCore, LLM gateways, and LangChain. Experience with AI coding assistants such as Claude Code, Codex, or Cursor and AI-driven software development practices.
Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.
11/14/2026
Full time
Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.
Yoh, A Day & Zimmermann Company
Durham, North Carolina
Job Description please share your resume to : Senior Full Stack Engineer Durham, NC - US Citizen or GC holders only W2 contract role Role Summary We are seeking a Senior Full Stack Engineer to design, develop, and operate scalable backend systems and cloud native services. This role is primarily focused on backend development, cloud operations, DevOps practices, and the delivery of secure, reliable services. The ideal candidate will come from the development side of DevOps and have strong hands on experience developing in Go, along with experience in Java, Python, or another comparable language. The candidate should be able to develop Go services from scratch and support the full service lifecycle from design and development through deployment and operations. Responsibilities • Design, develop, test, deploy, and maintain highly scalable backend services using Go • Build high throughput APIs and cloud native services • Own services throughout the full development and operations lifecycle • Collaborate with product managers, architects, and engineering teams to translate requirements into technical solutions • Improve engineering processes, tooling, automation, and CI/CD pipelines • Apply DevOps practices to improve delivery speed, reliability, and operational efficiency • Analyze complex engineering challenges and develop effective solutions • Support secure authentication, authorization, and access management systems • Contribute to systems designed for high availability, reliability, and fault tolerance Required Qualifications • 6 or more years of programming experience with Go, Java, Node.js, Python, or comparable technologies • Demonstrated ability to develop Go applications and services from scratch • Strong backend development experience with high throughput APIs • Experience with cloud providers such as AWS or Azure • Strong CI/CD, automation, and DevOps experience • Experience with Docker and Kubernetes • Experience supporting service deployment and operations • Strong problem solving, written, and verbal communication skills • Bachelor's degree or equivalent experience • Experience using AI developer tools such as GitHub Copilot or similar Preferred Qualifications • Experience with Envoy proxy configuration, service meshes, routing, or load balancing systems • Familiarity with observability tools, including logging, metrics, and tracing • Knowledge of cloud security best practices and compliance • Experience designing highly available and fault tolerant systems • Prior experience leading medium to large technical initiatives Estimated Min Rate : $49.00 Estimated Max Rate : $70.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/14/2026
Full time
Job Description please share your resume to : Senior Full Stack Engineer Durham, NC - US Citizen or GC holders only W2 contract role Role Summary We are seeking a Senior Full Stack Engineer to design, develop, and operate scalable backend systems and cloud native services. This role is primarily focused on backend development, cloud operations, DevOps practices, and the delivery of secure, reliable services. The ideal candidate will come from the development side of DevOps and have strong hands on experience developing in Go, along with experience in Java, Python, or another comparable language. The candidate should be able to develop Go services from scratch and support the full service lifecycle from design and development through deployment and operations. Responsibilities • Design, develop, test, deploy, and maintain highly scalable backend services using Go • Build high throughput APIs and cloud native services • Own services throughout the full development and operations lifecycle • Collaborate with product managers, architects, and engineering teams to translate requirements into technical solutions • Improve engineering processes, tooling, automation, and CI/CD pipelines • Apply DevOps practices to improve delivery speed, reliability, and operational efficiency • Analyze complex engineering challenges and develop effective solutions • Support secure authentication, authorization, and access management systems • Contribute to systems designed for high availability, reliability, and fault tolerance Required Qualifications • 6 or more years of programming experience with Go, Java, Node.js, Python, or comparable technologies • Demonstrated ability to develop Go applications and services from scratch • Strong backend development experience with high throughput APIs • Experience with cloud providers such as AWS or Azure • Strong CI/CD, automation, and DevOps experience • Experience with Docker and Kubernetes • Experience supporting service deployment and operations • Strong problem solving, written, and verbal communication skills • Bachelor's degree or equivalent experience • Experience using AI developer tools such as GitHub Copilot or similar Preferred Qualifications • Experience with Envoy proxy configuration, service meshes, routing, or load balancing systems • Familiarity with observability tools, including logging, metrics, and tracing • Knowledge of cloud security best practices and compliance • Experience designing highly available and fault tolerant systems • Prior experience leading medium to large technical initiatives Estimated Min Rate : $49.00 Estimated Max Rate : $70.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details
11/14/2026
Full time
Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details
Job Description Role Overview: The Vice President, Workforce Identity and Directory Services, serves as the primary owner of all Active Directory-related infrastructure and strategy. This role leads the design, governance, and modernization of the enterprise identity platform across on-premises, hybrid, and cloud environments. The VP is responsible for developing long-term technology roadmaps, driving security best practices, and partnering with Security, Infrastructure, and Application teams to deliver scalable, resilient identity services aligned with business objectives. Key Responsibilities: Serve as the primary owner and point of contact for all Active Directory infrastructure, strategy, and operations across on-premises and cloud environments. Lead and execute a long-term technology roadmap to modernize the Active Directory environment, including forest and domain consolidation, AD tiering model implementation, strategic reduction and decommissioning of on-premises domain controllers, and accelerating workload migration from on-premises AD to Microsoft Entra ID. Architect and govern enterprise Active Directory Domain Services (AD DS), Active Directory Certificate Services (AD CS), DNS, and DHCP, PKI, ensuring high availability, disaster recovery readiness, and security at scale. Drive the adoption and optimization of Microsoft Entra ID security features, including Conditional Access, Identity Protection, Identity Governance, Workload Identities, and Entra Permissions Management. Govern Entra ID external collaboration and application identity, including cross-tenant access policies, B2B guest account lifecycle, app registration and enterprise application management, API permission and consent policy governance, and service principal security and credential rotation. Manage hybrid Active Directory environments, including Azure AD Connect / Cloud Sync configuration, seamless SSO, pass-through authentication, and directory synchronization health monitoring. Design and enforce Group Policy architecture at scale, including GPO lifecycle management, security baselines, and policy inheritance strategies across complex OU structures. Establish and enforce identity security best practices, policies, and standards across the organization in alignment with zero trust principles and AD tiering models (Enhanced Security Admin Environment). Oversee Kerberos, NTLM, LDAP, and certificate-based authentication protocols, driving migration away from legacy protocols toward modern authentication standards. Lead AD Forest and domain trust management, replication topology optimization, Sites and Services configuration, and schema extension governance. Partner with Security, Compliance, and Risk teams to ensure identity infrastructure meets regulatory and audit requirements, including SOX, NIST, and industry-specific mandates. Oversee incident response, disaster recovery, and root cause analysis for identity-related security events, AD replication failures, and service disruptions. Evaluate emerging identity technologies and industry trends including passwordless authentication, decentralized identity, and AI-driven threat detection to inform strategic planning and investment decisions. Required Qualifications: 10+ years of progressive experience in IT infrastructure with a focus on Active Directory and identity management, including at least 5 years in an architect or senior engineering capacity. Deep knowledge of Microsoft 365 from an identity and access management perspective, including Exchange Online, SharePoint Online, and Teams integration with Entra ID, M365 group and license management, app consent frameworks, service principals, and Microsoft 365 Defender for identity-related threat detection. Deep fluency in authentication and federation protocols, including SAML, OAuth 2.0, OpenID Connect, WS-Federation, Kerberos, LDAP, and NTLM, with a track record of migrating environments away from legacy protocols. Experience implementing passwordless authentication strategies, including FIDO2, Windows Hello for Business, and certificate-based authentication via PKI. Hands-on experience with Active Directory security assessment and hardening tools such as BloodHound, PingCastle, and Purple Knight for attack path analysis and security posture evaluation. Knowledge of service account governance, including Group Managed Service Accounts (gMSA), and endpoint security tooling such as LAPS. Proficiency with PowerShell, Terraform, DSC, and Microsoft Graph API for identity infrastructure automation, reporting, and configuration drift detection. Working knowledge of NIST, SOX, or other regulatory compliance frameworks as they relate to identity management and PKI governance. Microsoft certifications such as Microsoft Certified: Identity and Access Administrator Associate, Azure Solutions Architect Expert, or Cybersecurity Architect Expert. Proven track record of building, mentoring, and managing high-performing identity engineering teams. Excellent communication and stakeholder management skills, to include translating complex identity concepts for non-technical audiences and influence at all levels of the organization. Preferred Qualifications: Identity architecture and strategic technology vision Enterprise security and zero trust mindset Deep technical problem solving across complex, multi-forest AD environments Stakeholder management and executive communication Strong ownership, accountability, and bias toward action Experience in financial services, private equity, or other highly regulated industries.
11/14/2026
Full time
Job Description Role Overview: The Vice President, Workforce Identity and Directory Services, serves as the primary owner of all Active Directory-related infrastructure and strategy. This role leads the design, governance, and modernization of the enterprise identity platform across on-premises, hybrid, and cloud environments. The VP is responsible for developing long-term technology roadmaps, driving security best practices, and partnering with Security, Infrastructure, and Application teams to deliver scalable, resilient identity services aligned with business objectives. Key Responsibilities: Serve as the primary owner and point of contact for all Active Directory infrastructure, strategy, and operations across on-premises and cloud environments. Lead and execute a long-term technology roadmap to modernize the Active Directory environment, including forest and domain consolidation, AD tiering model implementation, strategic reduction and decommissioning of on-premises domain controllers, and accelerating workload migration from on-premises AD to Microsoft Entra ID. Architect and govern enterprise Active Directory Domain Services (AD DS), Active Directory Certificate Services (AD CS), DNS, and DHCP, PKI, ensuring high availability, disaster recovery readiness, and security at scale. Drive the adoption and optimization of Microsoft Entra ID security features, including Conditional Access, Identity Protection, Identity Governance, Workload Identities, and Entra Permissions Management. Govern Entra ID external collaboration and application identity, including cross-tenant access policies, B2B guest account lifecycle, app registration and enterprise application management, API permission and consent policy governance, and service principal security and credential rotation. Manage hybrid Active Directory environments, including Azure AD Connect / Cloud Sync configuration, seamless SSO, pass-through authentication, and directory synchronization health monitoring. Design and enforce Group Policy architecture at scale, including GPO lifecycle management, security baselines, and policy inheritance strategies across complex OU structures. Establish and enforce identity security best practices, policies, and standards across the organization in alignment with zero trust principles and AD tiering models (Enhanced Security Admin Environment). Oversee Kerberos, NTLM, LDAP, and certificate-based authentication protocols, driving migration away from legacy protocols toward modern authentication standards. Lead AD Forest and domain trust management, replication topology optimization, Sites and Services configuration, and schema extension governance. Partner with Security, Compliance, and Risk teams to ensure identity infrastructure meets regulatory and audit requirements, including SOX, NIST, and industry-specific mandates. Oversee incident response, disaster recovery, and root cause analysis for identity-related security events, AD replication failures, and service disruptions. Evaluate emerging identity technologies and industry trends including passwordless authentication, decentralized identity, and AI-driven threat detection to inform strategic planning and investment decisions. Required Qualifications: 10+ years of progressive experience in IT infrastructure with a focus on Active Directory and identity management, including at least 5 years in an architect or senior engineering capacity. Deep knowledge of Microsoft 365 from an identity and access management perspective, including Exchange Online, SharePoint Online, and Teams integration with Entra ID, M365 group and license management, app consent frameworks, service principals, and Microsoft 365 Defender for identity-related threat detection. Deep fluency in authentication and federation protocols, including SAML, OAuth 2.0, OpenID Connect, WS-Federation, Kerberos, LDAP, and NTLM, with a track record of migrating environments away from legacy protocols. Experience implementing passwordless authentication strategies, including FIDO2, Windows Hello for Business, and certificate-based authentication via PKI. Hands-on experience with Active Directory security assessment and hardening tools such as BloodHound, PingCastle, and Purple Knight for attack path analysis and security posture evaluation. Knowledge of service account governance, including Group Managed Service Accounts (gMSA), and endpoint security tooling such as LAPS. Proficiency with PowerShell, Terraform, DSC, and Microsoft Graph API for identity infrastructure automation, reporting, and configuration drift detection. Working knowledge of NIST, SOX, or other regulatory compliance frameworks as they relate to identity management and PKI governance. Microsoft certifications such as Microsoft Certified: Identity and Access Administrator Associate, Azure Solutions Architect Expert, or Cybersecurity Architect Expert. Proven track record of building, mentoring, and managing high-performing identity engineering teams. Excellent communication and stakeholder management skills, to include translating complex identity concepts for non-technical audiences and influence at all levels of the organization. Preferred Qualifications: Identity architecture and strategic technology vision Enterprise security and zero trust mindset Deep technical problem solving across complex, multi-forest AD environments Stakeholder management and executive communication Strong ownership, accountability, and bias toward action Experience in financial services, private equity, or other highly regulated industries.
Job Description Candidate must already live in Chicago! No exceptions! Senior Full Stack Engineer Contract Position Position Overview We are seeking an experienced Senior Full Stack & Cloud-Native AI Engineer to transform an existing Data Insight proof of concept into a secure, scalable, production-ready enterprise application. The application enables users to explore reporting data, ask contextual follow-up questions, and gain actionable insights supported by verifiable source evidence. In this role, you will design and develop end-to-end application capabilities, including agentic AI workflows, full-stack user experiences, cloud-native services, and enterprise integrations. You will play a critical role in establishing the evaluation, testing, and monitoring frameworks required to ensure the accuracy, reliability, security, and continuous improvement of AI-powered functionality. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade AI applications, particularly agentic workflows, retrieval-augmented generation (RAG), and AI evaluation frameworks. Key Responsibilities Agentic AI Application Development Design, develop, and deploy production-grade agentic AI applications using large language models (LLMs), tool calling, structured outputs, and multi-step reasoning workflows. Build intelligent workflows that interpret user intent, maintain conversation context, orchestrate tools and APIs, and support human review when appropriate. Implement prompt engineering, context management, workflow orchestration, and error-handling strategies to improve application reliability and response quality. Integrate retrieval-augmented generation (RAG) capabilities to ground AI-generated responses in trusted enterprise data and source documents. F ull Stack & Cloud-Native Development Develop responsive, user-friendly web applications using Angular and modern front-end development practices. Design and implement scalable backend services and RESTful APIs using C# and .NET. Develop Python-based AI services and agent orchestration components. Integrate application services with existing enterprise reporting platforms, databases, authentication providers, and data-access systems. Build and deploy cloud-native solutions using Microsoft Azure and associated cloud services. Implement secure API integrations, asynchronous processing, and resilient service-to-service communication. AI Evaluation, Testing & Quality Engineering Own the design and implementation of comprehensive evaluation frameworks for AI-powered applications. Collaborate with healthcare domain experts and product owners to curate representative evaluation datasets and define scoring rubrics, quality metrics, and acceptance criteria. Develop automated evaluation processes to assess: Accuracy and relevance of AI-generated answers. Correctness and traceability of supporting evidence. Tool selection, execution, and workflow orchestration. Context retention and multi-turn conversation quality. End-to-end task completion and user experience. Handling of ambiguous, unsupported, and out-of-scope requests. Combine automated evaluation with human review to validate analytical accuracy and domain-specific correctness. Establish regression testing and baseline comparisons to identify quality degradation resulting from changes to models, prompts, datasets, or application code. Integrate AI evaluation suites, automated tests, and quality gates into CI/CD pipelines. Maintain version-controlled prompts, evaluation datasets, test configurations, and performance baselines. Reliability, Security & Production Operations Design resilient execution workflows incorporating timeouts, retries, cancellation, durable state management, and recovery mechanisms. Implement authentication, authorization, and data-access controls across APIs, AI agents, tools, and underlying data sources. Ensure sensitive healthcare and enterprise data is handled securely and in accordance with applicable organizational policies. Establish observability through application logging, distributed tracing, performance monitoring, and error reporting. Monitor production AI quality, response latency, operational costs, and failure rates. Analyze production feedback and failures, convert findings into reproducible test cases, and drive measurable improvements. Optimize application performance, scalability, reliability, and cloud operating costs. Data Engineering & Analytical Integrity Develop and optimize SQL queries, relational data models, and data-access services. Ensure analytical results are accurate, reproducible, and supported by traceable source data. Address data-quality challenges, including missing values, inconsistencies, numerical precision, and aggregation accuracy. Work closely with business stakeholders and healthcare domain experts to validate analytical findings and communicate uncertainty and system limitations. Required Qualifications 8+ years of professional software engineering experience delivering and supporting secure, scalable enterprise applications. Hands-on experience designing and developing agentic AI applications using LLMs, tool calling, structured outputs, prompt engineering, and multi-step workflows. Strong full-stack development experience with Angular, C#/.NET Web APIs, and Python. Practical experience building AI evaluation and quality pipelines, including evaluation datasets, scoring methodologies, automated regression testing, and human-in-the-loop validation. Demonstrated ability to use evaluation results and production feedback to improve AI application quality and reliability. Strong experience with SQL, relational database design, data modeling, and analytical data processing. Experience building and deploying cloud-native applications using Microsoft Azure. Hands-on experience with CI/CD pipelines, automated unit testing, integration testing, and end-to-end testing. Strong understanding of enterprise application security, authentication, authorization, secure API design, and data-access controls. Experience implementing observability, distributed tracing, asynchronous processing, and fault-tolerant application architectures. Strong analytical, problem-solving, communication, and collaboration skills. Ability to work independently and effectively collaborate with engineering teams, product owners, and business/domain experts. Preferred Qualifications Experience implementing retrieval-augmented generation (RAG), including document ingestion, embedding generation, vector search, retrieval strategies, and grounding evaluation. Experience with healthcare analytics, enterprise reporting platforms, or data-intensive applications involving sensitive information. Experience transitioning AI proof-of-concept solutions into production-grade enterprise applications. Familiarity with AI quality metrics, LLM-as-a-judge approaches, semantic evaluation, groundedness assessment, and human evaluation workflows. Experience optimizing AI application performance, model selection, inference latency, token consumption, and cloud operating costs. Familiarity with Azure AI services and enterprise AI application architecture.
11/14/2026
Full time
Job Description Candidate must already live in Chicago! No exceptions! Senior Full Stack Engineer Contract Position Position Overview We are seeking an experienced Senior Full Stack & Cloud-Native AI Engineer to transform an existing Data Insight proof of concept into a secure, scalable, production-ready enterprise application. The application enables users to explore reporting data, ask contextual follow-up questions, and gain actionable insights supported by verifiable source evidence. In this role, you will design and develop end-to-end application capabilities, including agentic AI workflows, full-stack user experiences, cloud-native services, and enterprise integrations. You will play a critical role in establishing the evaluation, testing, and monitoring frameworks required to ensure the accuracy, reliability, security, and continuous improvement of AI-powered functionality. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade AI applications, particularly agentic workflows, retrieval-augmented generation (RAG), and AI evaluation frameworks. Key Responsibilities Agentic AI Application Development Design, develop, and deploy production-grade agentic AI applications using large language models (LLMs), tool calling, structured outputs, and multi-step reasoning workflows. Build intelligent workflows that interpret user intent, maintain conversation context, orchestrate tools and APIs, and support human review when appropriate. Implement prompt engineering, context management, workflow orchestration, and error-handling strategies to improve application reliability and response quality. Integrate retrieval-augmented generation (RAG) capabilities to ground AI-generated responses in trusted enterprise data and source documents. F ull Stack & Cloud-Native Development Develop responsive, user-friendly web applications using Angular and modern front-end development practices. Design and implement scalable backend services and RESTful APIs using C# and .NET. Develop Python-based AI services and agent orchestration components. Integrate application services with existing enterprise reporting platforms, databases, authentication providers, and data-access systems. Build and deploy cloud-native solutions using Microsoft Azure and associated cloud services. Implement secure API integrations, asynchronous processing, and resilient service-to-service communication. AI Evaluation, Testing & Quality Engineering Own the design and implementation of comprehensive evaluation frameworks for AI-powered applications. Collaborate with healthcare domain experts and product owners to curate representative evaluation datasets and define scoring rubrics, quality metrics, and acceptance criteria. Develop automated evaluation processes to assess: Accuracy and relevance of AI-generated answers. Correctness and traceability of supporting evidence. Tool selection, execution, and workflow orchestration. Context retention and multi-turn conversation quality. End-to-end task completion and user experience. Handling of ambiguous, unsupported, and out-of-scope requests. Combine automated evaluation with human review to validate analytical accuracy and domain-specific correctness. Establish regression testing and baseline comparisons to identify quality degradation resulting from changes to models, prompts, datasets, or application code. Integrate AI evaluation suites, automated tests, and quality gates into CI/CD pipelines. Maintain version-controlled prompts, evaluation datasets, test configurations, and performance baselines. Reliability, Security & Production Operations Design resilient execution workflows incorporating timeouts, retries, cancellation, durable state management, and recovery mechanisms. Implement authentication, authorization, and data-access controls across APIs, AI agents, tools, and underlying data sources. Ensure sensitive healthcare and enterprise data is handled securely and in accordance with applicable organizational policies. Establish observability through application logging, distributed tracing, performance monitoring, and error reporting. Monitor production AI quality, response latency, operational costs, and failure rates. Analyze production feedback and failures, convert findings into reproducible test cases, and drive measurable improvements. Optimize application performance, scalability, reliability, and cloud operating costs. Data Engineering & Analytical Integrity Develop and optimize SQL queries, relational data models, and data-access services. Ensure analytical results are accurate, reproducible, and supported by traceable source data. Address data-quality challenges, including missing values, inconsistencies, numerical precision, and aggregation accuracy. Work closely with business stakeholders and healthcare domain experts to validate analytical findings and communicate uncertainty and system limitations. Required Qualifications 8+ years of professional software engineering experience delivering and supporting secure, scalable enterprise applications. Hands-on experience designing and developing agentic AI applications using LLMs, tool calling, structured outputs, prompt engineering, and multi-step workflows. Strong full-stack development experience with Angular, C#/.NET Web APIs, and Python. Practical experience building AI evaluation and quality pipelines, including evaluation datasets, scoring methodologies, automated regression testing, and human-in-the-loop validation. Demonstrated ability to use evaluation results and production feedback to improve AI application quality and reliability. Strong experience with SQL, relational database design, data modeling, and analytical data processing. Experience building and deploying cloud-native applications using Microsoft Azure. Hands-on experience with CI/CD pipelines, automated unit testing, integration testing, and end-to-end testing. Strong understanding of enterprise application security, authentication, authorization, secure API design, and data-access controls. Experience implementing observability, distributed tracing, asynchronous processing, and fault-tolerant application architectures. Strong analytical, problem-solving, communication, and collaboration skills. Ability to work independently and effectively collaborate with engineering teams, product owners, and business/domain experts. Preferred Qualifications Experience implementing retrieval-augmented generation (RAG), including document ingestion, embedding generation, vector search, retrieval strategies, and grounding evaluation. Experience with healthcare analytics, enterprise reporting platforms, or data-intensive applications involving sensitive information. Experience transitioning AI proof-of-concept solutions into production-grade enterprise applications. Familiarity with AI quality metrics, LLM-as-a-judge approaches, semantic evaluation, groundedness assessment, and human evaluation workflows. Experience optimizing AI application performance, model selection, inference latency, token consumption, and cloud operating costs. Familiarity with Azure AI services and enterprise AI application architecture.
Job Description Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution Job Description We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. Key Responsibilities Hands-on Software Engineering & Architecture Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies. Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development. Build complex microservices-based architectures, distributed systems, and event-driven applications. Develop full-stack solutions with strong backend capabilities and practical frontend development experience. Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support. Lead technical implementation while remaining actively involved in writing and reviewing code. Develop reusable components, APIs, integrations, and enterprise application frameworks. Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects. Backend, Frontend & Full-Stack Development Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies. Design and implement RESTful APIs, microservices, and enterprise integrations. Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS. Integrate frontend applications with backend services and enterprise platforms. Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies. Implement authentication, authorization, security, and API integration patterns. Ensure application performance, maintainability, reliability, and scalability. Microservices & Cloud-Native Engineering Design and implement microservices architectures and distributed application platforms. Work with messaging and event-streaming technologies such as Apache Kafka. Build asynchronous processing, event-driven integrations, and resilient distributed services. Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions. Deploy and operate applications on AWS, Azure, or GCP. Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Apply observability practices using logging, monitoring, tracing, and performance management tools. Understand cloud-native architecture, scalability, availability, and system reliability. AI & Agentic Engineering Explore and implement AI-powered enterprise applications and intelligent workflows. Integrate LLMs and AI capabilities into existing enterprise applications and platforms. Develop AI agents, tool-calling workflows, and agent orchestration capabilities. Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations. Identify opportunities to apply AI and automation to solve client business and technology challenges. Build practical prototypes and take successful AI solutions through production implementation. Client Consulting & Strategic Account Growth Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders. Understand client technology environments, business priorities, and strategic challenges. Translate business problems into technical solutions and actionable engineering roadmaps. Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops. Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption. Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value. Build trusted relationships with client stakeholders and contribute to long-term account growth. Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials. Collaborate with leadership and account teams to shape new opportunities and support business development. Required Technical Expertise Java & Backend Engineering Extensive hands-on experience with Java and Spring Boot. Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization. Experience with REST APIs, Hibernate, JPA, and enterprise application development. Strong knowledge of backend architecture and enterprise integration patterns. Full-Stack Development Experience building frontend applications using React, JavaScript, and TypeScript. Ability to independently work across backend and frontend components. Strong understanding of API integration and application architecture. Microservices & Distributed Systems Deep experience designing and implementing microservices architectures. Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing. Understanding of scalability, resiliency, fault tolerance, and high-availability architecture. Cloud & DevOps Experience with AWS, Azure, or GCP. Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. Familiarity with Terraform or other infrastructure-as-code tools is preferred. AI & Modern Engineering Exposure to LLM integrations, generative AI, AI agents, and agentic workflows. Experience integrating AI capabilities into enterprise software is highly desirable. Required Consulting & Client Engagement Experience Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory. Demonstrated experience delivering technology solutions for external enterprise clients. Ability to manage multiple technical stakeholders and work across different client environments. Strong executive communication and presentation skills. Ability to identify additional technology opportunities and contribute to account expansion. Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Significant professional software engineering experience, ideally 8+ years. Extensive hands-on Java and backend engineering experience. Proven experience building enterprise-grade microservices and distributed systems. Full-stack development experience with modern frontend frameworks. Previous consulting or professional services experience is mandatory. Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred. What Success Looks Like You can independently design, code, and deliver complex enterprise applications. You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices. You can engage with client engineering teams and senior executives with equal confidence. You identify opportunities to solve broader client challenges beyond the immediate assignment. You help strengthen client relationships and contribute to expanding strategic accounts. You take ownership of solutions from initial discovery through architecture, implementation, and production deployment. Who Should Apply? We are looking for engineers who are not limited to writing code against predefined requirements. . click apply for full job details
11/14/2026
Full time
Job Description Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution Job Description We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. Key Responsibilities Hands-on Software Engineering & Architecture Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies. Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development. Build complex microservices-based architectures, distributed systems, and event-driven applications. Develop full-stack solutions with strong backend capabilities and practical frontend development experience. Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support. Lead technical implementation while remaining actively involved in writing and reviewing code. Develop reusable components, APIs, integrations, and enterprise application frameworks. Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects. Backend, Frontend & Full-Stack Development Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies. Design and implement RESTful APIs, microservices, and enterprise integrations. Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS. Integrate frontend applications with backend services and enterprise platforms. Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies. Implement authentication, authorization, security, and API integration patterns. Ensure application performance, maintainability, reliability, and scalability. Microservices & Cloud-Native Engineering Design and implement microservices architectures and distributed application platforms. Work with messaging and event-streaming technologies such as Apache Kafka. Build asynchronous processing, event-driven integrations, and resilient distributed services. Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions. Deploy and operate applications on AWS, Azure, or GCP. Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Apply observability practices using logging, monitoring, tracing, and performance management tools. Understand cloud-native architecture, scalability, availability, and system reliability. AI & Agentic Engineering Explore and implement AI-powered enterprise applications and intelligent workflows. Integrate LLMs and AI capabilities into existing enterprise applications and platforms. Develop AI agents, tool-calling workflows, and agent orchestration capabilities. Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations. Identify opportunities to apply AI and automation to solve client business and technology challenges. Build practical prototypes and take successful AI solutions through production implementation. Client Consulting & Strategic Account Growth Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders. Understand client technology environments, business priorities, and strategic challenges. Translate business problems into technical solutions and actionable engineering roadmaps. Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops. Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption. Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value. Build trusted relationships with client stakeholders and contribute to long-term account growth. Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials. Collaborate with leadership and account teams to shape new opportunities and support business development. Required Technical Expertise Java & Backend Engineering Extensive hands-on experience with Java and Spring Boot. Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization. Experience with REST APIs, Hibernate, JPA, and enterprise application development. Strong knowledge of backend architecture and enterprise integration patterns. Full-Stack Development Experience building frontend applications using React, JavaScript, and TypeScript. Ability to independently work across backend and frontend components. Strong understanding of API integration and application architecture. Microservices & Distributed Systems Deep experience designing and implementing microservices architectures. Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing. Understanding of scalability, resiliency, fault tolerance, and high-availability architecture. Cloud & DevOps Experience with AWS, Azure, or GCP. Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. Familiarity with Terraform or other infrastructure-as-code tools is preferred. AI & Modern Engineering Exposure to LLM integrations, generative AI, AI agents, and agentic workflows. Experience integrating AI capabilities into enterprise software is highly desirable. Required Consulting & Client Engagement Experience Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory. Demonstrated experience delivering technology solutions for external enterprise clients. Ability to manage multiple technical stakeholders and work across different client environments. Strong executive communication and presentation skills. Ability to identify additional technology opportunities and contribute to account expansion. Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Significant professional software engineering experience, ideally 8+ years. Extensive hands-on Java and backend engineering experience. Proven experience building enterprise-grade microservices and distributed systems. Full-stack development experience with modern frontend frameworks. Previous consulting or professional services experience is mandatory. Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred. What Success Looks Like You can independently design, code, and deliver complex enterprise applications. You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices. You can engage with client engineering teams and senior executives with equal confidence. You identify opportunities to solve broader client challenges beyond the immediate assignment. You help strengthen client relationships and contribute to expanding strategic accounts. You take ownership of solutions from initial discovery through architecture, implementation, and production deployment. Who Should Apply? We are looking for engineers who are not limited to writing code against predefined requirements. . click apply for full job details
