Job Description Test Engineer - Electromechanical Systems & Prototype Testing Location: Fredericksburg, VA Employment Type: Direct Hire Work Arrangement: Onsite 1st Shift, Monday-Friday Compensation: $90,000-$115,000 annually + Competitive Benefits Position Overview We are seeking a hands-on Test Engineer to support the assembly, testing, troubleshooting, and validation of complex electromechanical systems, including robotic arms, unmanned ground vehicles (UGVs), and prototype equipment. This role focuses on building, disassembling, modifying, and testing electrical and mechanical devices to support engineering design decisions, validate new products and materials, and ensure prototype systems meet functional and performance requirements. The ideal candidate will have practical experience working with electromechanical assemblies, electrical test instrumentation, mechanical measurement tools, and shop equipment. They should be comfortable performing hands-on troubleshooting, collecting and analyzing test data, and communicating findings to engineering teams. Success in this position requires a combination of mechanical aptitude, electrical troubleshooting skills, attention to detail, and strong Microsoft Excel proficiency. Key Responsibilities 1. Electromechanical Assembly & Troubleshooting Build, disassemble, rebuild, modify, and troubleshoot electrical and mechanical devices, assemblies, and prototype systems. Perform hands-on assembly, debugging, and testing of complex electromechanical equipment. Identify and resolve mechanical, electrical, and control system issues during prototype development and validation. Collaborate with engineers to investigate design issues, troubleshoot failures, and implement improvements. Support fabrication, assembly, and modification of prototype equipment and test fixtures. Read and interpret electrical schematics, mechanical drawings, and engineering documentation. 2. Prototype Testing & Validation Develop and execute test plans, procedures, and protocols for electromechanical systems and prototype equipment. Perform functional and performance testing to support engineering design decisions and product development. Conduct testing to validate new designs, components, and materials. Verify subsystem and complete system functionality during prototype builds. Validate prototype performance against customer requirements and engineering specifications. Support testing of robotic systems and embedded control software. Identify, document, and communicate test failures, performance issues, and potential design improvements. Assist with production verification, integration testing, and troubleshooting activities. 3. Test Equipment & Measurement Operate electrical test equipment, including multimeters, oscilloscopes, and other diagnostic instrumentation. Use mechanical measurement tools, including calipers and micrometers, to verify component dimensions and tolerances. Utilize force, torque, position, temperature, and other sensors to collect test measurements. Set up, operate, and troubleshoot test equipment and instrumentation. Use common shop tools, including wrenches, screwdrivers, saws, drill presses, bench grinders, and other mechanical assembly equipment. Ensure proper use, handling, and maintenance of test equipment and tools. 4. Data Collection, Analysis & Reporting Collect, organize, analyze, and report test data using Microsoft Excel. Develop and maintain accurate test records, technical documentation, and engineering reports. Evaluate test results to identify trends, performance concerns, and potential design issues. Communicate testing results and recommendations to engineering and project teams. Upload software, collect system test data, and follow equipment-specific testing procedures. Learn and utilize new software tools and test applications as required. Maintain accurate documentation of troubleshooting activities, test procedures, and validation results. 5. Engineering Collaboration & Project Support Work closely with mechanical, electrical, software, manufacturing, quality, and systems engineering teams. Provide feedback to engineering teams to support design improvements and prototype development. Communicate effectively with technicians, engineers, vendors, customers, and other stakeholders. Manage assigned testing activities and projects to meet established schedules and technical requirements. Support manufacturing, service, and warranty-related troubleshooting activities as needed. Assist with additional engineering and testing responsibilities as assigned. Required Qualifications Education & Experience Bachelor's degree in Mechanical Engineering, Robotics Engineering, or a related engineering discipline. Approximately 5 years of relevant experience in electromechanical testing, prototype development, product validation, or related engineering activities. Demonstrated hands-on experience building, disassembling, rebuilding, and troubleshooting electrical and mechanical devices. Experience testing and evaluating prototype electromechanical systems. Experience performing functional testing, performance validation, and troubleshooting of mechanical and electrical assemblies. Experience collecting, analyzing, and reporting test data. Technical Skills Strong understanding of electromechanical systems and their mechanical, electrical, and control system interfaces. Hands-on experience using electrical measurement equipment, including multimeters and oscilloscopes. Experience using mechanical measurement tools such as calipers and micrometers. Familiarity with force, torque, position, and temperature sensors. Ability to safely operate common shop tools, including wrenches, fastener drivers, saws, drill presses, and bench grinders. Ability to read and interpret electrical schematics and mechanical engineering drawings. Strong proficiency with Microsoft Excel for data collection, organization, evaluation, and reporting. Ability to learn and use new software tools with guidance from software engineers or technical personnel. Ability to upload software and collect test data using system-specific procedures. Strong troubleshooting, analytical, and practical problem-solving skills. Ability to accurately document testing activities, findings, and technical results. Professional Skills Strong written and verbal communication skills. Ability to collaborate effectively with multidisciplinary engineering and technical teams. Strong attention to detail and commitment to accurate test results. Ability to work independently while following established testing procedures and project requirements. Strong organizational and time management skills. Willingness to perform hands-on assembly, troubleshooting, and testing activities. Preferred Qualifications Experience testing robotic systems, unmanned ground vehicles, robotic arms, or other complex electromechanical equipment. Experience with prototype development, engineering validation, or research and development testing. Familiarity with CAD software, particularly SolidWorks, for reviewing and referencing mechanical models. Experience using logic analyzers, data acquisition systems, or specialized test instrumentation. Experience with embedded control systems and software-based test procedures. Familiarity with environmental and electromagnetic compatibility testing standards, including MIL-STD-810 and MIL-STD-461. Experience supporting manufacturing, product development, or production validation activities. Experience developing test procedures, technical reports, and engineering documentation. Work Environment & Physical Requirements Work is performed in engineering, laboratory, office, manufacturing, and prototype testing environments. May involve exposure to manufacturing noise, dust, fumes, oils, and temperature variations. Requires the ability to alternate between sitting, standing, and walking for extended periods. Must be able to lift and carry parts or equipment weighing up to 45 pounds. Must follow established safety procedures, workmanship standards, and housekeeping requirements. Must wear appropriate personal protective equipment (PPE) when required. Training will be provided on applicable safety procedures and specialized tools or software. May provide technical oversight or direction to other designers or technicians as assigned. Priority Qualifications - Candidate Evaluation The following capabilities are the highest priorities when evaluating candidates: Hands-On Electromechanical Experience: Experience building, disassembling, rebuilding, and troubleshooting electrical and mechanical devices. Prototype Testing & Validation: Experience testing prototype equipment, validating system functionality, and identifying mechanical or electrical performance issues. Test & Measurement Equipment: Practical experience using multimeters, oscilloscopes, calipers, micrometers, and applicable measurement sensors. . click apply for full job details
11/14/2026
Full time
Job Description Test Engineer - Electromechanical Systems & Prototype Testing Location: Fredericksburg, VA Employment Type: Direct Hire Work Arrangement: Onsite 1st Shift, Monday-Friday Compensation: $90,000-$115,000 annually + Competitive Benefits Position Overview We are seeking a hands-on Test Engineer to support the assembly, testing, troubleshooting, and validation of complex electromechanical systems, including robotic arms, unmanned ground vehicles (UGVs), and prototype equipment. This role focuses on building, disassembling, modifying, and testing electrical and mechanical devices to support engineering design decisions, validate new products and materials, and ensure prototype systems meet functional and performance requirements. The ideal candidate will have practical experience working with electromechanical assemblies, electrical test instrumentation, mechanical measurement tools, and shop equipment. They should be comfortable performing hands-on troubleshooting, collecting and analyzing test data, and communicating findings to engineering teams. Success in this position requires a combination of mechanical aptitude, electrical troubleshooting skills, attention to detail, and strong Microsoft Excel proficiency. Key Responsibilities 1. Electromechanical Assembly & Troubleshooting Build, disassemble, rebuild, modify, and troubleshoot electrical and mechanical devices, assemblies, and prototype systems. Perform hands-on assembly, debugging, and testing of complex electromechanical equipment. Identify and resolve mechanical, electrical, and control system issues during prototype development and validation. Collaborate with engineers to investigate design issues, troubleshoot failures, and implement improvements. Support fabrication, assembly, and modification of prototype equipment and test fixtures. Read and interpret electrical schematics, mechanical drawings, and engineering documentation. 2. Prototype Testing & Validation Develop and execute test plans, procedures, and protocols for electromechanical systems and prototype equipment. Perform functional and performance testing to support engineering design decisions and product development. Conduct testing to validate new designs, components, and materials. Verify subsystem and complete system functionality during prototype builds. Validate prototype performance against customer requirements and engineering specifications. Support testing of robotic systems and embedded control software. Identify, document, and communicate test failures, performance issues, and potential design improvements. Assist with production verification, integration testing, and troubleshooting activities. 3. Test Equipment & Measurement Operate electrical test equipment, including multimeters, oscilloscopes, and other diagnostic instrumentation. Use mechanical measurement tools, including calipers and micrometers, to verify component dimensions and tolerances. Utilize force, torque, position, temperature, and other sensors to collect test measurements. Set up, operate, and troubleshoot test equipment and instrumentation. Use common shop tools, including wrenches, screwdrivers, saws, drill presses, bench grinders, and other mechanical assembly equipment. Ensure proper use, handling, and maintenance of test equipment and tools. 4. Data Collection, Analysis & Reporting Collect, organize, analyze, and report test data using Microsoft Excel. Develop and maintain accurate test records, technical documentation, and engineering reports. Evaluate test results to identify trends, performance concerns, and potential design issues. Communicate testing results and recommendations to engineering and project teams. Upload software, collect system test data, and follow equipment-specific testing procedures. Learn and utilize new software tools and test applications as required. Maintain accurate documentation of troubleshooting activities, test procedures, and validation results. 5. Engineering Collaboration & Project Support Work closely with mechanical, electrical, software, manufacturing, quality, and systems engineering teams. Provide feedback to engineering teams to support design improvements and prototype development. Communicate effectively with technicians, engineers, vendors, customers, and other stakeholders. Manage assigned testing activities and projects to meet established schedules and technical requirements. Support manufacturing, service, and warranty-related troubleshooting activities as needed. Assist with additional engineering and testing responsibilities as assigned. Required Qualifications Education & Experience Bachelor's degree in Mechanical Engineering, Robotics Engineering, or a related engineering discipline. Approximately 5 years of relevant experience in electromechanical testing, prototype development, product validation, or related engineering activities. Demonstrated hands-on experience building, disassembling, rebuilding, and troubleshooting electrical and mechanical devices. Experience testing and evaluating prototype electromechanical systems. Experience performing functional testing, performance validation, and troubleshooting of mechanical and electrical assemblies. Experience collecting, analyzing, and reporting test data. Technical Skills Strong understanding of electromechanical systems and their mechanical, electrical, and control system interfaces. Hands-on experience using electrical measurement equipment, including multimeters and oscilloscopes. Experience using mechanical measurement tools such as calipers and micrometers. Familiarity with force, torque, position, and temperature sensors. Ability to safely operate common shop tools, including wrenches, fastener drivers, saws, drill presses, and bench grinders. Ability to read and interpret electrical schematics and mechanical engineering drawings. Strong proficiency with Microsoft Excel for data collection, organization, evaluation, and reporting. Ability to learn and use new software tools with guidance from software engineers or technical personnel. Ability to upload software and collect test data using system-specific procedures. Strong troubleshooting, analytical, and practical problem-solving skills. Ability to accurately document testing activities, findings, and technical results. Professional Skills Strong written and verbal communication skills. Ability to collaborate effectively with multidisciplinary engineering and technical teams. Strong attention to detail and commitment to accurate test results. Ability to work independently while following established testing procedures and project requirements. Strong organizational and time management skills. Willingness to perform hands-on assembly, troubleshooting, and testing activities. Preferred Qualifications Experience testing robotic systems, unmanned ground vehicles, robotic arms, or other complex electromechanical equipment. Experience with prototype development, engineering validation, or research and development testing. Familiarity with CAD software, particularly SolidWorks, for reviewing and referencing mechanical models. Experience using logic analyzers, data acquisition systems, or specialized test instrumentation. Experience with embedded control systems and software-based test procedures. Familiarity with environmental and electromagnetic compatibility testing standards, including MIL-STD-810 and MIL-STD-461. Experience supporting manufacturing, product development, or production validation activities. Experience developing test procedures, technical reports, and engineering documentation. Work Environment & Physical Requirements Work is performed in engineering, laboratory, office, manufacturing, and prototype testing environments. May involve exposure to manufacturing noise, dust, fumes, oils, and temperature variations. Requires the ability to alternate between sitting, standing, and walking for extended periods. Must be able to lift and carry parts or equipment weighing up to 45 pounds. Must follow established safety procedures, workmanship standards, and housekeeping requirements. Must wear appropriate personal protective equipment (PPE) when required. Training will be provided on applicable safety procedures and specialized tools or software. May provide technical oversight or direction to other designers or technicians as assigned. Priority Qualifications - Candidate Evaluation The following capabilities are the highest priorities when evaluating candidates: Hands-On Electromechanical Experience: Experience building, disassembling, rebuilding, and troubleshooting electrical and mechanical devices. Prototype Testing & Validation: Experience testing prototype equipment, validating system functionality, and identifying mechanical or electrical performance issues. Test & Measurement Equipment: Practical experience using multimeters, oscilloscopes, calipers, micrometers, and applicable measurement sensors. . click apply for full job details
Job Description Sr. UX/UI Designer Miami - Onsite Simpro is trusted by thousands of field service businesses worldwide to run their operations. As our Senior UX Designer, you won't just ship screens - you'll raise the design bar across the entire product organization, setting the standards that everyone else builds from. Design authority, not just delivery. The AI era means more people than ever can generate UI. Your job is to ensure what gets built is intentional, cohesive, and genuinely good - through systems, standards, and the credibility to enforce them. What You'll Do Own and evolve Simpro's design system and component library, setting the standards that product managers and engineers use when they build UI themselves Define UX guidelines, principles, and governance frameworks so that design quality scales beyond the design team Lead user research initiatives - regular usability testing, discovery interviews, and insight synthesis - and turn findings into product direction Partner with product and engineering on complex, cross-product features: facilitating trade-off conversations and driving toward agreed solutions without losing user advocacy Prototype and validate new concepts fast, keeping pace with AI-accelerated development cycles Coach and mentor designers on best practices and evolve in the AI age Take concepts from wireframe through to polished, production-ready design - and into code when needed What You'll Bring 5+ years of UX/UI design experience, with meaningful time in B2B, B2C or SaaS A strong portfolio demonstrating systems thinking, not just polished screens Hands-on experience with AI design and prototyping tools (v0, Cursor, Figma AI, Claude, or similar) Confidence running your own research: recruiting, facilitation, synthesis Solid HTML, CSS/SASS, and JavaScript - you can talk code with engineers and build when you need to Outstanding written and verbal communication Our Core Values While experience in the above areas will be highly considered, it's important to note it will be secondary to the person with the right determination, attitude and compatibility. Our culture and core values are very important to us: We Are One Team We Are Customer Centric We Are Growth Minded We Are Accountable We Celebrate Success Simpro, AroFlo, BigChange & ClockShark are equal opportunity employers with a best-of-class onboarding program and supportive team environments. We embrace and support culture diversity and Equal Employment Opportunity. Aboriginals, Torres Strait Islanders and minority groups are encouraged to apply. .
11/14/2026
Full time
Job Description Sr. UX/UI Designer Miami - Onsite Simpro is trusted by thousands of field service businesses worldwide to run their operations. As our Senior UX Designer, you won't just ship screens - you'll raise the design bar across the entire product organization, setting the standards that everyone else builds from. Design authority, not just delivery. The AI era means more people than ever can generate UI. Your job is to ensure what gets built is intentional, cohesive, and genuinely good - through systems, standards, and the credibility to enforce them. What You'll Do Own and evolve Simpro's design system and component library, setting the standards that product managers and engineers use when they build UI themselves Define UX guidelines, principles, and governance frameworks so that design quality scales beyond the design team Lead user research initiatives - regular usability testing, discovery interviews, and insight synthesis - and turn findings into product direction Partner with product and engineering on complex, cross-product features: facilitating trade-off conversations and driving toward agreed solutions without losing user advocacy Prototype and validate new concepts fast, keeping pace with AI-accelerated development cycles Coach and mentor designers on best practices and evolve in the AI age Take concepts from wireframe through to polished, production-ready design - and into code when needed What You'll Bring 5+ years of UX/UI design experience, with meaningful time in B2B, B2C or SaaS A strong portfolio demonstrating systems thinking, not just polished screens Hands-on experience with AI design and prototyping tools (v0, Cursor, Figma AI, Claude, or similar) Confidence running your own research: recruiting, facilitation, synthesis Solid HTML, CSS/SASS, and JavaScript - you can talk code with engineers and build when you need to Outstanding written and verbal communication Our Core Values While experience in the above areas will be highly considered, it's important to note it will be secondary to the person with the right determination, attitude and compatibility. Our culture and core values are very important to us: We Are One Team We Are Customer Centric We Are Growth Minded We Are Accountable We Celebrate Success Simpro, AroFlo, BigChange & ClockShark are equal opportunity employers with a best-of-class onboarding program and supportive team environments. We embrace and support culture diversity and Equal Employment Opportunity. Aboriginals, Torres Strait Islanders and minority groups are encouraged to apply. .
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 Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
11/14/2026
Full time
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
Job Description 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 Staff Data Engineer Location: Scottsdale, AZ Monday-Thursday onsite, Friday remote We're partnering with a hospitality technology company to find a Staff Data Engineer to help build and improve a cloud-based data platform supporting thousands of hotel properties. The platform handles reservation, guest, rate, and operational data used across the business. This is a hands-on technical leadership role for someone who enjoys building data systems while helping shape the architecture behind them. You'll work across multiple initiatives, guide technical decisions, and mentor senior engineers. This position has no direct reports. What you'll do: Design, build, and improve data pipelines and distributed processing solutions using AWS, Apache Spark, Python, and SQL. Help define the platform's architecture, engineering standards, and technical direction. Improve scalability, performance, reliability, and monitoring across data systems. Partner with engineering teams and business stakeholders to translate requirements into practical technical solutions. Mentor senior engineers through design discussions, code reviews, and hands-on problem solving. Support automated testing, CI/CD, and infrastructure as code practices. What we're looking for: 8+ years of relevant data engineering experience. Strong hands-on expertise with AWS, Apache Spark, Python, and SQL. Experience designing cloud data platforms, distributed systems, and data warehouse solutions. A track record of owning complex technical projects and guiding architecture decisions across teams. Experience improving production systems through monitoring, troubleshooting, and performance optimization. Strong communication skills and the ability to explain technical decisions to different audiences. Experience with generative AI is a plus. Candidates must be authorized to work in the U.S. without sponsorship.
11/14/2026
Full time
Job Description Staff Data Engineer Location: Scottsdale, AZ Monday-Thursday onsite, Friday remote We're partnering with a hospitality technology company to find a Staff Data Engineer to help build and improve a cloud-based data platform supporting thousands of hotel properties. The platform handles reservation, guest, rate, and operational data used across the business. This is a hands-on technical leadership role for someone who enjoys building data systems while helping shape the architecture behind them. You'll work across multiple initiatives, guide technical decisions, and mentor senior engineers. This position has no direct reports. What you'll do: Design, build, and improve data pipelines and distributed processing solutions using AWS, Apache Spark, Python, and SQL. Help define the platform's architecture, engineering standards, and technical direction. Improve scalability, performance, reliability, and monitoring across data systems. Partner with engineering teams and business stakeholders to translate requirements into practical technical solutions. Mentor senior engineers through design discussions, code reviews, and hands-on problem solving. Support automated testing, CI/CD, and infrastructure as code practices. What we're looking for: 8+ years of relevant data engineering experience. Strong hands-on expertise with AWS, Apache Spark, Python, and SQL. Experience designing cloud data platforms, distributed systems, and data warehouse solutions. A track record of owning complex technical projects and guiding architecture decisions across teams. Experience improving production systems through monitoring, troubleshooting, and performance optimization. Strong communication skills and the ability to explain technical decisions to different audiences. Experience with generative AI is a plus. Candidates must be authorized to work in the U.S. without sponsorship.
Job Description Eastman Kodak is hiring an IT SAP Security Engineer to be hands-on in maintenance/KIR support, system upgrades and security design for new project and enhancement development. This experienced SAP Security Professional will join our team to help us maintain important compliance and operational aspects of our most important Enterprise system and help us to grow and transform existing systems. Key Business areas we support include S4HANA, BW, Success Factors, SAP Cloud, Solutions Manager and GTS. Experience with GRC 12 is required. Knowledge of Segregation of Duties rule management is critical. A good understanding of Fiori Apps is essential. Preference for this candidate to be hybrid/onsite in Rochester, New York. Responsibilities will include but are not limited to: • Supporting and performing SAP security support for upgrades, testing cycles and new system go-live. • Providing security directions to business units and developers. • Performing daily monitoring and oversight to ensure security compliance and audit readiness. • Establishing and implementing SAP security best practices. • Experience working in technical teams with virtual team members. • Proven ability to work on tasks with minimal direction. • Excellent verbal and written communication skills. • Self-directed project management using the company's established framework. Required Skills/Experience: • 5-10 years demonstrated experience providing SAP security administrator support of S4 HANA, including GUI & Fiori. • 3+ years demonstrated experience providing SAP security administrator support of GRC 12, BI/BW, Success Factors, SAP Cloud (including SSO and SAP Account Management), Solution Manager & GTS. • Hands-on experience supporting full lifecycle methodology project implementation inclusive of requirements analysis, design and unit testing, integration testing, user acceptance testing and implementation. • Experience with role management, organizational security, building, testing and assigning roles to accounts and use of SU24/SU25 for upgrade processing. • Proficient MS O365 Skills (Excel, Word, PowerPoint, Outlook, Skype) and SharePoint. Knowledge of OneDrive, OneNote, and Teams is a plus. • Ability to communicate effectively in writing, meetings and presentations with the English language. • Ability to flexibly provide support, respond to off-hour emergencies, and join meetings during US EST and some overlap with BST/CET. • Understanding industry trends, well-read about SAP and SAP Security, able to research and benchmark. • Innovative, creative and self-starting. • Bachelor's Degree in a related field.
11/14/2026
Full time
Job Description Eastman Kodak is hiring an IT SAP Security Engineer to be hands-on in maintenance/KIR support, system upgrades and security design for new project and enhancement development. This experienced SAP Security Professional will join our team to help us maintain important compliance and operational aspects of our most important Enterprise system and help us to grow and transform existing systems. Key Business areas we support include S4HANA, BW, Success Factors, SAP Cloud, Solutions Manager and GTS. Experience with GRC 12 is required. Knowledge of Segregation of Duties rule management is critical. A good understanding of Fiori Apps is essential. Preference for this candidate to be hybrid/onsite in Rochester, New York. Responsibilities will include but are not limited to: • Supporting and performing SAP security support for upgrades, testing cycles and new system go-live. • Providing security directions to business units and developers. • Performing daily monitoring and oversight to ensure security compliance and audit readiness. • Establishing and implementing SAP security best practices. • Experience working in technical teams with virtual team members. • Proven ability to work on tasks with minimal direction. • Excellent verbal and written communication skills. • Self-directed project management using the company's established framework. Required Skills/Experience: • 5-10 years demonstrated experience providing SAP security administrator support of S4 HANA, including GUI & Fiori. • 3+ years demonstrated experience providing SAP security administrator support of GRC 12, BI/BW, Success Factors, SAP Cloud (including SSO and SAP Account Management), Solution Manager & GTS. • Hands-on experience supporting full lifecycle methodology project implementation inclusive of requirements analysis, design and unit testing, integration testing, user acceptance testing and implementation. • Experience with role management, organizational security, building, testing and assigning roles to accounts and use of SU24/SU25 for upgrade processing. • Proficient MS O365 Skills (Excel, Word, PowerPoint, Outlook, Skype) and SharePoint. Knowledge of OneDrive, OneNote, and Teams is a plus. • Ability to communicate effectively in writing, meetings and presentations with the English language. • Ability to flexibly provide support, respond to off-hour emergencies, and join meetings during US EST and some overlap with BST/CET. • Understanding industry trends, well-read about SAP and SAP Security, able to research and benchmark. • Innovative, creative and self-starting. • Bachelor's Degree in a related field.
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 Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.
11/14/2026
Full time
Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.
Job Description NO SPONSORSHIP - NO OPT Associate Principal, Software Engineering: Java - 3 years experience Salary: $88k-$125k+ up to 10% bonus Chicago, IL - hybrid 3 days onsite Need a 3-year sharp backend java developer with springboot microservices. You will need multithreading and AWS to develop and design automated testing tools. Familiar with kafka. Sharp young go-getter. BS degree required. Qualifications: 3+ years of professional Java software engineering experience with production systems, including distributed systems and backend microservice development. Experience with distributed computing frameworks such as Kafka Streaming and message queues, with an understanding of scale, resilience and fault tolerance. Solid experience in API development, SQL databases, and data storage such as S3. Working knowledge of CI/CD, DevOps tools, Git, and test automation frameworks, with experience contributing to pipelines and release processes. Solid understanding of OOP, microservices architecture, REST APIs, and Java 8+ features, with the ability to apply design patterns and make sound technical decisions. Experience working within Agile delivery models, including sprint planning, code reviews, backlog refinement, and cross-team communication. Demonstrate intellectual curiosity, a strong desire to learn fast, and the ability to support others and help the team adopt new technologies. Technical Skills: Strong Java programming skills including object-oriented design, concurrency and multithreading, performance tuning, and hands-on experience with Spring Boot. Working knowledge of Kafka Hands-on experience with AWS services, especially S3, and an understanding of cloud-based design, security and cost considerations. Ability to write and optimize analytical SQL queries for relational database systems such as PostgreSQL. Proficient with Git workflows including branching strategies, pull requests, and code review; hands-on experience building and maintaining CI/CD pipelines with Jenkins or similar orchestration platforms. Practical experience with AI-assisted development tools such as Claude Code for code generation, refactoring, unit tests, and documentation, and the judgment to apply them in a disciplined engineering environment. BS Degree
11/14/2026
Full time
Job Description NO SPONSORSHIP - NO OPT Associate Principal, Software Engineering: Java - 3 years experience Salary: $88k-$125k+ up to 10% bonus Chicago, IL - hybrid 3 days onsite Need a 3-year sharp backend java developer with springboot microservices. You will need multithreading and AWS to develop and design automated testing tools. Familiar with kafka. Sharp young go-getter. BS degree required. Qualifications: 3+ years of professional Java software engineering experience with production systems, including distributed systems and backend microservice development. Experience with distributed computing frameworks such as Kafka Streaming and message queues, with an understanding of scale, resilience and fault tolerance. Solid experience in API development, SQL databases, and data storage such as S3. Working knowledge of CI/CD, DevOps tools, Git, and test automation frameworks, with experience contributing to pipelines and release processes. Solid understanding of OOP, microservices architecture, REST APIs, and Java 8+ features, with the ability to apply design patterns and make sound technical decisions. Experience working within Agile delivery models, including sprint planning, code reviews, backlog refinement, and cross-team communication. Demonstrate intellectual curiosity, a strong desire to learn fast, and the ability to support others and help the team adopt new technologies. Technical Skills: Strong Java programming skills including object-oriented design, concurrency and multithreading, performance tuning, and hands-on experience with Spring Boot. Working knowledge of Kafka Hands-on experience with AWS services, especially S3, and an understanding of cloud-based design, security and cost considerations. Ability to write and optimize analytical SQL queries for relational database systems such as PostgreSQL. Proficient with Git workflows including branching strategies, pull requests, and code review; hands-on experience building and maintaining CI/CD pipelines with Jenkins or similar orchestration platforms. Practical experience with AI-assisted development tools such as Claude Code for code generation, refactoring, unit tests, and documentation, and the judgment to apply them in a disciplined engineering environment. BS Degree
Job Description Job Title: SAP EAM IS-U Lead Location: Seattle, WA Onsite Requirements: 50% Onsite - Every other week Compensation Range: $115-$120 per hour plus travel expenses Introduction We are seeking an experienced SAP Utility EAM Lead with deep S/4HANA expertise to drive a major utility transformation program. This role begins with a Phase 0 engagement of roughly two to three months centered on business case development and program planning, followed by an implementation phase estimated at 12 to 18 months, with potential for a multi-year engagement. The ideal candidate brings a strong utility operations background, ideally with large utilities serving more than one million customers, along with a thorough understanding of asset management, capital projects, and enterprise system integrations. Day-to-Day Responsibilities Lead activities including business case development and detailed program planning, and carry that work into execution. Oversee SAP S/4HANA Enterprise Asset Management delivery across Plant Maintenance (PM) and Project Systems (PS/WBS), including related touchpoints with EPPM, Spatial Asset Management (GIS), and Asset Performance Management (APM). Apply a practical understanding of corrective and preventive maintenance, asset lifecycles, and capital project management to guide solution decisions. Design and manage integrations between SAP and surrounding systems, including GIS, engineering design solutions, and field mobility tools. Serve as a trusted subject matter expert, guiding executive stakeholders, operational leaders, and technical teams through key transformation milestones. Required Skills & Qualifications 10-15+ years of experience within utility operations. Expert-level knowledge of SAP S/4HANA Plant Maintenance (PM), Project Systems (PS/WBS), EPPM, Spatial Asset Management (GIS), and Asset Performance Management (APM). Proven understanding of maintenance strategies (corrective vs. preventive), capital project lifecycles, and enterprise utility system landscapes, including GIS, field mobility, and engineering design. Exceptional verbal and written communication skills with a polished, executive presence. Preferred Skills & Qualifications Experience at a Tier 1 utility serving more than one million customers. Backgrounds in Oil & Gas may also be considered.
11/14/2026
Full time
Job Description Job Title: SAP EAM IS-U Lead Location: Seattle, WA Onsite Requirements: 50% Onsite - Every other week Compensation Range: $115-$120 per hour plus travel expenses Introduction We are seeking an experienced SAP Utility EAM Lead with deep S/4HANA expertise to drive a major utility transformation program. This role begins with a Phase 0 engagement of roughly two to three months centered on business case development and program planning, followed by an implementation phase estimated at 12 to 18 months, with potential for a multi-year engagement. The ideal candidate brings a strong utility operations background, ideally with large utilities serving more than one million customers, along with a thorough understanding of asset management, capital projects, and enterprise system integrations. Day-to-Day Responsibilities Lead activities including business case development and detailed program planning, and carry that work into execution. Oversee SAP S/4HANA Enterprise Asset Management delivery across Plant Maintenance (PM) and Project Systems (PS/WBS), including related touchpoints with EPPM, Spatial Asset Management (GIS), and Asset Performance Management (APM). Apply a practical understanding of corrective and preventive maintenance, asset lifecycles, and capital project management to guide solution decisions. Design and manage integrations between SAP and surrounding systems, including GIS, engineering design solutions, and field mobility tools. Serve as a trusted subject matter expert, guiding executive stakeholders, operational leaders, and technical teams through key transformation milestones. Required Skills & Qualifications 10-15+ years of experience within utility operations. Expert-level knowledge of SAP S/4HANA Plant Maintenance (PM), Project Systems (PS/WBS), EPPM, Spatial Asset Management (GIS), and Asset Performance Management (APM). Proven understanding of maintenance strategies (corrective vs. preventive), capital project lifecycles, and enterprise utility system landscapes, including GIS, field mobility, and engineering design. Exceptional verbal and written communication skills with a polished, executive presence. Preferred Skills & Qualifications Experience at a Tier 1 utility serving more than one million customers. Backgrounds in Oil & Gas may also be considered.
Job Description We are looking for Sr AWS Cloud Architect with a client based in Des Moines, IA. This would be a hybrid opportunity - 3 days onsite. We are looking for candidates with the below skills: software engineering or solution architecture experience Python Strong hands-on development experience with with TypeScript API and service development Experience designing, developing, and deploying cloud-native solutions in AWS. Experience with event-driven architectures, including asynchronous messaging, event publishing/subscription patterns, and distributed systems design. Strong knowledge of relational databases, data modeling concepts, and the ability to write and optimize SQL queries for analysis, troubleshooting, and integration activities.
11/14/2026
Full time
Job Description We are looking for Sr AWS Cloud Architect with a client based in Des Moines, IA. This would be a hybrid opportunity - 3 days onsite. We are looking for candidates with the below skills: software engineering or solution architecture experience Python Strong hands-on development experience with with TypeScript API and service development Experience designing, developing, and deploying cloud-native solutions in AWS. Experience with event-driven architectures, including asynchronous messaging, event publishing/subscription patterns, and distributed systems design. Strong knowledge of relational databases, data modeling concepts, and the ability to write and optimize SQL queries for analysis, troubleshooting, and integration activities.
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 : Data & Solution Architect Location: Fort Collins (Colorado) Onsite Contract Position . Must : Minimum 6 years in data/platform engineering or solution design, including at least 3 years in architecture responsibilities Education : Bachelor's degree in Computer Science, Information Systems, Software Engineering, Information Technology, or related engineering discipline. A master's degree is preferred but not essential. Technical Required Info Snowflake: practical architecture knowledge of warehouses, data layers, secure sharing, transformations, access patterns and performance fundamentals. SQL and data modeling: strong SQL literacy; relational and analytical models; dimensional design, data contracts and enterprise entity models. Data integration: ETL/ELT, batch processing, REST APIs, JSON, orchestration, CDC concepts and event-driven integration patterns. Cloud solution architecture: security boundaries, IAM/access controls, encryption, monitoring, resilience, cost/performance trade-offs and integration with enterprise applications. Enterprise information architecture: master data/identity, catalog, metadata, data quality, lineage, source provenance, permissions and retention. BI and data products: Tableau or equivalent consumption/semantic -layer architecture, certified metrics, data products, trusted services and interoperability. Architecture deliverables: C4/solution context diagrams or equivalent, sequence/data-flow diagrams, design decision records and nonfunctional requirements. Key responsibilities Assess the existing Snowflake-centered data platform, ingestion and transformation paths, customer/partner identity, data products, operational interfaces and reporting consumption. Document current-state architecture and target-state options with context diagrams, source-to-consumption flows, integration inventory, nonfunctional requirements and interface contracts. Evaluate source-faithful acquisition, raw/curated layer separation, data classification, permitted-use metadata, data governance, lineage and retention requirements. Evaluate customer/entity resolution, master data patterns, cross-system identifiers, match confidence and controlled exception management. Assess batch versus event-driven integration, APIs, orchestration, observability, error handling, reconciliation, availability and recovery requirements. Identify dependencies and reusable services for partner activation, customer value, enterprise intelligence and governed AI applications. Coordinate architecture review with onsite Data Architect, security and business stakeholders; document trade-offs, ownership and decisions. Guide feasibility and effort considerations for execution plans without assuming that a specific new platform or vendor must be purchased. Thank you, Bharath M Account Manager Astir IT Solutions, Inc - An E-Verified Company Email: Direct : 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080
11/14/2026
Full time
Job Description Role : Data & Solution Architect Location: Fort Collins (Colorado) Onsite Contract Position . Must : Minimum 6 years in data/platform engineering or solution design, including at least 3 years in architecture responsibilities Education : Bachelor's degree in Computer Science, Information Systems, Software Engineering, Information Technology, or related engineering discipline. A master's degree is preferred but not essential. Technical Required Info Snowflake: practical architecture knowledge of warehouses, data layers, secure sharing, transformations, access patterns and performance fundamentals. SQL and data modeling: strong SQL literacy; relational and analytical models; dimensional design, data contracts and enterprise entity models. Data integration: ETL/ELT, batch processing, REST APIs, JSON, orchestration, CDC concepts and event-driven integration patterns. Cloud solution architecture: security boundaries, IAM/access controls, encryption, monitoring, resilience, cost/performance trade-offs and integration with enterprise applications. Enterprise information architecture: master data/identity, catalog, metadata, data quality, lineage, source provenance, permissions and retention. BI and data products: Tableau or equivalent consumption/semantic -layer architecture, certified metrics, data products, trusted services and interoperability. Architecture deliverables: C4/solution context diagrams or equivalent, sequence/data-flow diagrams, design decision records and nonfunctional requirements. Key responsibilities Assess the existing Snowflake-centered data platform, ingestion and transformation paths, customer/partner identity, data products, operational interfaces and reporting consumption. Document current-state architecture and target-state options with context diagrams, source-to-consumption flows, integration inventory, nonfunctional requirements and interface contracts. Evaluate source-faithful acquisition, raw/curated layer separation, data classification, permitted-use metadata, data governance, lineage and retention requirements. Evaluate customer/entity resolution, master data patterns, cross-system identifiers, match confidence and controlled exception management. Assess batch versus event-driven integration, APIs, orchestration, observability, error handling, reconciliation, availability and recovery requirements. Identify dependencies and reusable services for partner activation, customer value, enterprise intelligence and governed AI applications. Coordinate architecture review with onsite Data Architect, security and business stakeholders; document trade-offs, ownership and decisions. Guide feasibility and effort considerations for execution plans without assuming that a specific new platform or vendor must be purchased. Thank you, Bharath M Account Manager Astir IT Solutions, Inc - An E-Verified Company Email: Direct : 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080
CoSourcing Partners - Enterprise-AI and IT Services Company
Chicago, Illinois
Job Description Solution Architect - Digital Asset Management (DAM) / Content Supply Chain Work Arrangement: Onsite highly preferred; exact site & attendance requirements to be confirmed Platform Preference: Aprimo DAM preferred; Adobe DAM experience acceptable for consideration Current Project Phase: Discovery, architecture blueprinting, proof-of-concept, requirements-gap analysis, and scope definition Purpose: Lead the architectural definition of a major enterprise DAM and Content Supply Chain initiative. Establish the foundation for how digital assets and content capabilities will be managed, integrated, governed, and expanded across the enterprise. Overview Client is seeking a senior Solution Architect to lead the end-to-end solution definition for its Digital Asset Management (DAM) and Content Supply Chain initiative. The immediate assignment focuses on discovery, architectural blueprinting, proof-of-concept evaluation, migration assessment, identification of requirements gaps, and definition of the minimum viable product (MVP) and longer-term platform scope. The main MVP implementation is planned for the following project year. This position is therefore focused initially on architecture and technical definition rather than production implementation or detailed API and ingestion development. The Solution Architect will own the overall solution perspective, define how DAM capabilities fit into the broader enterprise ecosystem, and determine the architectural approach for current upstream integration requirements. The architect will also assess existing asset repositories and capabilities, define future migration considerations, and establish a scalable architecture that can support downstream content distribution in subsequent phases. The DAM platform has not yet been selected. Aprimo is currently preferred, while candidates with strong Adobe DAM architecture experience may also be considered. This is a senior architecture ownership position. The Tech Lead / Engineering Lead will work under the architect's technical direction, supporting detailed technical design, proof-of-concepts, and subsequent implementation and release activities. Objectives 1. Establish the End-to-End DAM and Content Supply Chain Solution Blueprint. Lead architecture discovery and develop the target solution blueprint for DAM and Content Supply Chain initiative. Define the major solution components, capability boundaries, integration relationships, metadata and governance considerations, and enterprise architecture dependencies in collaboration with Product, BTA, enterprise architecture, security, and engineering stakeholders. Clearly distinguish the capabilities required for the initial MVP from those intended for subsequent phases and document significant design alternatives and technical decisions. Success will be measured by stakeholder acceptance of the proposed architecture blueprint, resolution or documented disposition of priority architectural questions, and agreement on the initial MVP architectural scope. 2. Evaluate DAM Platform Options and Define the Preferred Technical Direction. Support technical evaluation of Aprimo and Adobe DAM solutions against agreed business requirements, enterprise architecture standards, integration needs, and future scalability expectations. Assess relevant platform capabilities, customization implications, technology dependencies, architectural constraints, and potential migration considerations without assuming that the final product decision has already been made. Lead or guide focused technical proof-of-concepts where additional evidence is required and document the implications of each platform choice for the overall solution. Success will be measured by completion of agreed platform evaluation deliverables, documented technical trade-offs, and an architecture recommendation or decision record accepted by the responsible stakeholders. 3. Define the Upstream Integration and Migration Architecture. Establish the high-level architectural approach for integrating upstream content sources and enterprise capabilities with the future DAM solution. Assess existing assets, repositories, metadata structures, content workflows, and relevant migration dependencies, including systems such as SharePoint, Amazon S3, and Dropbox where applicable. Define the conceptual integration patterns, migration considerations, system boundaries, and governance requirements needed to support the agreed MVP while deferring detailed production API and ingestion implementation to the appropriate delivery phase. Success will be measured by acceptance of the upstream integration architecture, completion of the agreed migration assessment. 4. Define the MVP Roadmap and Scalable Future-State Architecture. Consolidate discovery findings, proof-of-concept results, requirements gaps, and architectural dependencies into an actionable MVP technical roadmap. Establish the future-state architectural principles needed to support enterprise scalability, security, content rights, lifecycle management, and eventual downstream distribution to systems such as GMA, MCDP/Braze, Digital Menu Boards/Coates, kiosks, and POS. Clearly distinguish immediate upstream integration priorities from downstream capabilities that may be considered in 2027 or 2028 and guide the Tech Lead on the engineering implications of the approved design. Success will be measured by acceptance of the MVP architecture and roadmap, documentation of priority risks and dependencies, and agreement on the major technical decisions required before implementation begins. Critical Subtasks 1. Conduct Enterprise DAM Discovery and Capability Assessment. Review current DAM-related business needs, existing content capabilities, repositories, enterprise architecture standards, and identified stakeholder requirements. Facilitate discovery sessions with Product, BTA, enterprise architecture, security, data governance, and engineering representatives to understand current-state constraints and desired outcomes. Document the major capability gaps, architectural dependencies, and unresolved technical questions that will influence solution design. Success will be measured by an accepted discovery summary, a prioritized requirements-gap register, and agreement on the architectural areas requiring further investigation. 2. Evaluate DAM Platform Capabilities and Technical Feasibility. Assess Aprimo and Adobe DAM capabilities against the relevant functional, integration, governance, and enterprise technology requirements. Evaluate platform architecture, extension capabilities, technology-stack implications, and the degree to which each option supports the anticipated Content Supply Chain operating model. Guide technical demonstrations or proof-of-concepts to address material uncertainties and document the results for decision-makers. Success will be measured by completion of agreed evaluation criteria. 3. Develop the Target Architecture and MVP Capability Blueprint. Translate discovery findings and platform evaluation results into an end-to-end solution architecture. Work with the Tech Lead and enterprise architecture stakeholders to validate feasibility, identify technical dependencies, and separate MVP requirements from future enhancements. Success will be measured by approval of the target architecture artifacts, documented capability boundaries, and agreement on the MVP architectural baseline. 4. Assess Existing Asset Repositories and Migration Requirements. Evaluate the architectural implications of existing digital assets, repositories, metadata models, content workflows, and related enterprise capabilities. Identify migration and coexistence considerations, including data quality, metadata mapping, content ownership, rights preservation, and dependencies between current and future platforms. Define a high-level migration strategy and identify technical investigations required before a detailed migration plan can be finalized. Success will be measured by acceptance of the migration assessment, documentation of major migration risks, and agreement on the recommended next-phase approach. 5. Define Upstream Integration Architecture and Validate Key Assumptions. Establish the solution-level integration approach for upstream enterprise capabilities that will supply or manage content within the DAM ecosystem. Define system responsibilities, conceptual data flows, architectural integration patterns, governance considerations, and major interface dependencies while collaborating with the Tech Lead on feasibility assessments. Use targeted proof-of-concepts to validate complex assumptions rather than committing the team to detailed downstream or production integration development during discovery. 6. Finalize MVP Scope, Architecture Decisions, and Implementation Readiness. Consolidate architectural decisions, requirements gaps, platform considerations, migration findings, and upstream integration dependencies into an agreed technical definition for the planned MVP. Partner with Product, BTA, enterprise architecture, and the Tech Lead to establish a phased implementation roadmap, future-state design principles, and the key non-functional requirements that engineering must address during delivery. Document deferred downstream capabilities separately, including potential integration work, and identify the decisions required before full implementation begins. Requirements: Senior Enterprise Architecture Experience: 10+ years of solution or software architecture experience . click apply for full job details
11/14/2026
Full time
Job Description Solution Architect - Digital Asset Management (DAM) / Content Supply Chain Work Arrangement: Onsite highly preferred; exact site & attendance requirements to be confirmed Platform Preference: Aprimo DAM preferred; Adobe DAM experience acceptable for consideration Current Project Phase: Discovery, architecture blueprinting, proof-of-concept, requirements-gap analysis, and scope definition Purpose: Lead the architectural definition of a major enterprise DAM and Content Supply Chain initiative. Establish the foundation for how digital assets and content capabilities will be managed, integrated, governed, and expanded across the enterprise. Overview Client is seeking a senior Solution Architect to lead the end-to-end solution definition for its Digital Asset Management (DAM) and Content Supply Chain initiative. The immediate assignment focuses on discovery, architectural blueprinting, proof-of-concept evaluation, migration assessment, identification of requirements gaps, and definition of the minimum viable product (MVP) and longer-term platform scope. The main MVP implementation is planned for the following project year. This position is therefore focused initially on architecture and technical definition rather than production implementation or detailed API and ingestion development. The Solution Architect will own the overall solution perspective, define how DAM capabilities fit into the broader enterprise ecosystem, and determine the architectural approach for current upstream integration requirements. The architect will also assess existing asset repositories and capabilities, define future migration considerations, and establish a scalable architecture that can support downstream content distribution in subsequent phases. The DAM platform has not yet been selected. Aprimo is currently preferred, while candidates with strong Adobe DAM architecture experience may also be considered. This is a senior architecture ownership position. The Tech Lead / Engineering Lead will work under the architect's technical direction, supporting detailed technical design, proof-of-concepts, and subsequent implementation and release activities. Objectives 1. Establish the End-to-End DAM and Content Supply Chain Solution Blueprint. Lead architecture discovery and develop the target solution blueprint for DAM and Content Supply Chain initiative. Define the major solution components, capability boundaries, integration relationships, metadata and governance considerations, and enterprise architecture dependencies in collaboration with Product, BTA, enterprise architecture, security, and engineering stakeholders. Clearly distinguish the capabilities required for the initial MVP from those intended for subsequent phases and document significant design alternatives and technical decisions. Success will be measured by stakeholder acceptance of the proposed architecture blueprint, resolution or documented disposition of priority architectural questions, and agreement on the initial MVP architectural scope. 2. Evaluate DAM Platform Options and Define the Preferred Technical Direction. Support technical evaluation of Aprimo and Adobe DAM solutions against agreed business requirements, enterprise architecture standards, integration needs, and future scalability expectations. Assess relevant platform capabilities, customization implications, technology dependencies, architectural constraints, and potential migration considerations without assuming that the final product decision has already been made. Lead or guide focused technical proof-of-concepts where additional evidence is required and document the implications of each platform choice for the overall solution. Success will be measured by completion of agreed platform evaluation deliverables, documented technical trade-offs, and an architecture recommendation or decision record accepted by the responsible stakeholders. 3. Define the Upstream Integration and Migration Architecture. Establish the high-level architectural approach for integrating upstream content sources and enterprise capabilities with the future DAM solution. Assess existing assets, repositories, metadata structures, content workflows, and relevant migration dependencies, including systems such as SharePoint, Amazon S3, and Dropbox where applicable. Define the conceptual integration patterns, migration considerations, system boundaries, and governance requirements needed to support the agreed MVP while deferring detailed production API and ingestion implementation to the appropriate delivery phase. Success will be measured by acceptance of the upstream integration architecture, completion of the agreed migration assessment. 4. Define the MVP Roadmap and Scalable Future-State Architecture. Consolidate discovery findings, proof-of-concept results, requirements gaps, and architectural dependencies into an actionable MVP technical roadmap. Establish the future-state architectural principles needed to support enterprise scalability, security, content rights, lifecycle management, and eventual downstream distribution to systems such as GMA, MCDP/Braze, Digital Menu Boards/Coates, kiosks, and POS. Clearly distinguish immediate upstream integration priorities from downstream capabilities that may be considered in 2027 or 2028 and guide the Tech Lead on the engineering implications of the approved design. Success will be measured by acceptance of the MVP architecture and roadmap, documentation of priority risks and dependencies, and agreement on the major technical decisions required before implementation begins. Critical Subtasks 1. Conduct Enterprise DAM Discovery and Capability Assessment. Review current DAM-related business needs, existing content capabilities, repositories, enterprise architecture standards, and identified stakeholder requirements. Facilitate discovery sessions with Product, BTA, enterprise architecture, security, data governance, and engineering representatives to understand current-state constraints and desired outcomes. Document the major capability gaps, architectural dependencies, and unresolved technical questions that will influence solution design. Success will be measured by an accepted discovery summary, a prioritized requirements-gap register, and agreement on the architectural areas requiring further investigation. 2. Evaluate DAM Platform Capabilities and Technical Feasibility. Assess Aprimo and Adobe DAM capabilities against the relevant functional, integration, governance, and enterprise technology requirements. Evaluate platform architecture, extension capabilities, technology-stack implications, and the degree to which each option supports the anticipated Content Supply Chain operating model. Guide technical demonstrations or proof-of-concepts to address material uncertainties and document the results for decision-makers. Success will be measured by completion of agreed evaluation criteria. 3. Develop the Target Architecture and MVP Capability Blueprint. Translate discovery findings and platform evaluation results into an end-to-end solution architecture. Work with the Tech Lead and enterprise architecture stakeholders to validate feasibility, identify technical dependencies, and separate MVP requirements from future enhancements. Success will be measured by approval of the target architecture artifacts, documented capability boundaries, and agreement on the MVP architectural baseline. 4. Assess Existing Asset Repositories and Migration Requirements. Evaluate the architectural implications of existing digital assets, repositories, metadata models, content workflows, and related enterprise capabilities. Identify migration and coexistence considerations, including data quality, metadata mapping, content ownership, rights preservation, and dependencies between current and future platforms. Define a high-level migration strategy and identify technical investigations required before a detailed migration plan can be finalized. Success will be measured by acceptance of the migration assessment, documentation of major migration risks, and agreement on the recommended next-phase approach. 5. Define Upstream Integration Architecture and Validate Key Assumptions. Establish the solution-level integration approach for upstream enterprise capabilities that will supply or manage content within the DAM ecosystem. Define system responsibilities, conceptual data flows, architectural integration patterns, governance considerations, and major interface dependencies while collaborating with the Tech Lead on feasibility assessments. Use targeted proof-of-concepts to validate complex assumptions rather than committing the team to detailed downstream or production integration development during discovery. 6. Finalize MVP Scope, Architecture Decisions, and Implementation Readiness. Consolidate architectural decisions, requirements gaps, platform considerations, migration findings, and upstream integration dependencies into an agreed technical definition for the planned MVP. Partner with Product, BTA, enterprise architecture, and the Tech Lead to establish a phased implementation roadmap, future-state design principles, and the key non-functional requirements that engineering must address during delivery. Document deferred downstream capabilities separately, including potential integration work, and identify the decisions required before full implementation begins. Requirements: Senior Enterprise Architecture Experience: 10+ years of solution or software architecture experience . click apply for full job details
Job Description ? Quality Assurance Engineer Shape the Future of Test Automation Our client, a leading organization in enterprise and mobile technology, is scaling its engineering team and looking for Quality Assurance Engineers to help build quality as a first-class discipline across a high-availability platform used by major enterprise customers. If you love blending manual testing rigor with modern automation and AI-assisted tooling, this is your chance to make a real impact on release quality and developer velocity. ? Location: Charlotte, NC (Onsite) ? Type: Full-Time What You'll Do • Perform functional, integration, regression, usability, and E2E testing across web, mobile, API, and backend systems • Design and maintain automated test scripts for UI and API layers • Build reusable automation components and enhance existing frameworks • Conduct API/integration testing for RESTful services & microservices • Validate data integrity using SQL and database testing techniques • Partner with Engineering, Product, and DevOps to embed quality into CI/CD pipelines • Identify, document, and track defects; support root cause analysis • Participate in Agile ceremonies (sprint planning, standups, retros) • Maintain clear documentation of test cases, results, and quality metrics Must-Have Qualifications • Bachelor's or Master's in Computer Science, Engineering, or related field • 7+ years in Quality Engineering across Web/Mobile testing & automation • Hands-on experience with Playwright and Appium • API automation experience (Rest Assured, Playwright API, Postman) • CI/CD integration experience (Jenkins, Azure DevOps, or GitHub Actions) • Strong SQL and relational database skills Nice-to-Have • Familiarity with AI-assisted testing/development tools (LLM-based test generation, intelligent automation, AI-enabled IDEs) • Experience in high-availability or data-intensive platforms Why Apply? Join a growing technology team where your automation expertise will directly influence release quality, speed, and innovation. Enjoy competitive compensation, full health benefits, PTO, retirement plans, and real opportunities for career growth. ? Ready to elevate quality engineering? Apply now and bring your automation expertise to a team that values innovation and craftsmanship.
11/14/2026
Full time
Job Description ? Quality Assurance Engineer Shape the Future of Test Automation Our client, a leading organization in enterprise and mobile technology, is scaling its engineering team and looking for Quality Assurance Engineers to help build quality as a first-class discipline across a high-availability platform used by major enterprise customers. If you love blending manual testing rigor with modern automation and AI-assisted tooling, this is your chance to make a real impact on release quality and developer velocity. ? Location: Charlotte, NC (Onsite) ? Type: Full-Time What You'll Do • Perform functional, integration, regression, usability, and E2E testing across web, mobile, API, and backend systems • Design and maintain automated test scripts for UI and API layers • Build reusable automation components and enhance existing frameworks • Conduct API/integration testing for RESTful services & microservices • Validate data integrity using SQL and database testing techniques • Partner with Engineering, Product, and DevOps to embed quality into CI/CD pipelines • Identify, document, and track defects; support root cause analysis • Participate in Agile ceremonies (sprint planning, standups, retros) • Maintain clear documentation of test cases, results, and quality metrics Must-Have Qualifications • Bachelor's or Master's in Computer Science, Engineering, or related field • 7+ years in Quality Engineering across Web/Mobile testing & automation • Hands-on experience with Playwright and Appium • API automation experience (Rest Assured, Playwright API, Postman) • CI/CD integration experience (Jenkins, Azure DevOps, or GitHub Actions) • Strong SQL and relational database skills Nice-to-Have • Familiarity with AI-assisted testing/development tools (LLM-based test generation, intelligent automation, AI-enabled IDEs) • Experience in high-availability or data-intensive platforms Why Apply? Join a growing technology team where your automation expertise will directly influence release quality, speed, and innovation. Enjoy competitive compensation, full health benefits, PTO, retirement plans, and real opportunities for career growth. ? Ready to elevate quality engineering? Apply now and bring your automation expertise to a team that values innovation and craftsmanship.
Date Posted: 2026-10-01 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Active and transferrable final Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However . click apply for full job details
11/14/2026
Full time
Date Posted: 2026-10-01 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Active and transferrable final Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However . click apply for full job details
