Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Platform Engineer (Experienced or Senior) to join Boeing Defense, Space & Security in Berkeley, MO. This role focuses on platform engineering, build automation, legacy systems support, and cloud modernization in support of mission-critical engineering and software development environments. You will help maintain and modernize internal engineering tools, build systems, and automation workflows in support of a secure, cloud-based infrastructure environment. In this role, you will work closely with software developers, mission systems engineers, and other technical stakeholders to improve developer productivity, streamline release processes, and enable reliable software delivery across the program. The ideal candidate is a strong technical problem solver with experience in software development, infrastructure automation, and cloud engineering. This position requires a hands-on engineer who can support legacy environments while helping improve tools, pipelines, and deployment infrastructure across the program. Position Responsibilities: Lead platform engineering efforts in support of mission-critical software development and delivery environments Maintain, troubleshoot, and refactor legacy internal engineering tools, build scripts, and automation utilities Design and develop custom software tools and automation solutions to support engineering workflows and program needs Support and improve secure, cloud-based infrastructure environments used by the program Architect, provision, and maintain infrastructure using Infrastructure as Code practices Modernize legacy build and release processes into secure, repeatable CI/CD workflows Containerize legacy applications, build tools, and dependencies to improve reproducibility and consistency Work closely with software developers to improve local development environments and remove build bottlenecks Collaborate with mission systems engineers and other technical stakeholders to support platform stability and engineering efficiency Apply analytical problem-solving skills to resolve infrastructure, tooling, and build-related issues Document engineering practices and platform processes to support replication, scaling, and continuous improvement Provide technical leadership and guidance to junior engineers as needed This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) Bachelor's Degree 3+ years of experience with programming in C, C++ or C# Experience with scripting, particularly in shell scripting in sh and csh variants, Bash, Python, and PERL 1+ years of experience with AWS Services, E.g. VPC, IAM, EC2, Auto-scaling, ELB, ECR, S3, DynamoDB, Postgres (RDS), Lambda, SQS, SNS, RDS, VPC, Route 53, Cloud Front, Cloud Watch, AWS Config, Cloudtrail, AWS Developer Tools etc. Experience with Terraform Jenkins, Git, and Ansible, Cloud formation, etc. Experience with build and test tools such as (or similar to) BoostBuild, BoostTest, CMake, and Make Preferred Qualifications (Desired Skills/Experience): Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Ability to troubleshoot and support legacy engineering tools, build scripts, and automation workflows Familiarity with containerization technologies such as Docker or Podman Working knowledge of secure system administration practices and support for protected or regulated environments Strong analytical and problem-solving skills with the ability to work across technical teams Experience supporting defense, aerospace, or highly regulated government systems Experience working in mission systems, embedded software, simulation, or flight software environments Experience modernizing, refactoring, or containerizing legacy applications, build environments, or engineering tools Experience with AWS GovCloud, JWCC, or other government cloud environments Experience with CI/CD tooling such as Jenkins, GitLab CI, or similar automation platforms Experience improving developer productivity through tooling, automation, and standardized environments Experience working in Agile development environments Experience with configuration management and collaboration tools such as Git, JIRA, Collaborator, Beyond Compare, or VersionOne Experience leading technical tasks, platform initiatives, or mentoring junior engineers Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced - Level 3: $112,200 - $151,800 Senior - Level 4: $136,850 - $185,150 Applications for this position will be accepted until Nov. 20, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Platform Engineer (Experienced or Senior) to join Boeing Defense, Space & Security in Berkeley, MO. This role focuses on platform engineering, build automation, legacy systems support, and cloud modernization in support of mission-critical engineering and software development environments. You will help maintain and modernize internal engineering tools, build systems, and automation workflows in support of a secure, cloud-based infrastructure environment. In this role, you will work closely with software developers, mission systems engineers, and other technical stakeholders to improve developer productivity, streamline release processes, and enable reliable software delivery across the program. The ideal candidate is a strong technical problem solver with experience in software development, infrastructure automation, and cloud engineering. This position requires a hands-on engineer who can support legacy environments while helping improve tools, pipelines, and deployment infrastructure across the program. Position Responsibilities: Lead platform engineering efforts in support of mission-critical software development and delivery environments Maintain, troubleshoot, and refactor legacy internal engineering tools, build scripts, and automation utilities Design and develop custom software tools and automation solutions to support engineering workflows and program needs Support and improve secure, cloud-based infrastructure environments used by the program Architect, provision, and maintain infrastructure using Infrastructure as Code practices Modernize legacy build and release processes into secure, repeatable CI/CD workflows Containerize legacy applications, build tools, and dependencies to improve reproducibility and consistency Work closely with software developers to improve local development environments and remove build bottlenecks Collaborate with mission systems engineers and other technical stakeholders to support platform stability and engineering efficiency Apply analytical problem-solving skills to resolve infrastructure, tooling, and build-related issues Document engineering practices and platform processes to support replication, scaling, and continuous improvement Provide technical leadership and guidance to junior engineers as needed This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) Bachelor's Degree 3+ years of experience with programming in C, C++ or C# Experience with scripting, particularly in shell scripting in sh and csh variants, Bash, Python, and PERL 1+ years of experience with AWS Services, E.g. VPC, IAM, EC2, Auto-scaling, ELB, ECR, S3, DynamoDB, Postgres (RDS), Lambda, SQS, SNS, RDS, VPC, Route 53, Cloud Front, Cloud Watch, AWS Config, Cloudtrail, AWS Developer Tools etc. Experience with Terraform Jenkins, Git, and Ansible, Cloud formation, etc. Experience with build and test tools such as (or similar to) BoostBuild, BoostTest, CMake, and Make Preferred Qualifications (Desired Skills/Experience): Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Ability to troubleshoot and support legacy engineering tools, build scripts, and automation workflows Familiarity with containerization technologies such as Docker or Podman Working knowledge of secure system administration practices and support for protected or regulated environments Strong analytical and problem-solving skills with the ability to work across technical teams Experience supporting defense, aerospace, or highly regulated government systems Experience working in mission systems, embedded software, simulation, or flight software environments Experience modernizing, refactoring, or containerizing legacy applications, build environments, or engineering tools Experience with AWS GovCloud, JWCC, or other government cloud environments Experience with CI/CD tooling such as Jenkins, GitLab CI, or similar automation platforms Experience improving developer productivity through tooling, automation, and standardized environments Experience working in Agile development environments Experience with configuration management and collaboration tools such as Git, JIRA, Collaborator, Beyond Compare, or VersionOne Experience leading technical tasks, platform initiatives, or mentoring junior engineers Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced - Level 3: $112,200 - $151,800 Senior - Level 4: $136,850 - $185,150 Applications for this position will be accepted until Nov. 20, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
The Applied Research Laboratory at Penn State University
Job Description We are searching for a Systems Administrator to join the Reston, VA location of the Digital Engineering Department in the Cyber, Modeling, and Simulation Division of the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. You will maintain the integrity of various high-performance computing (HPC) systems including operating systems, physical servers/workstations, and applications; administer, install, and troubleshoot a variety of Cloud tooling and applications, perform systems maintenance tasks such as troubleshooting and performance evaluation as well as back-up and recovery; perform configuration changes to address customer needs; schedule, install, and test system software upgrades; monitor and maintain software licensing. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply You will: Install, configure, maintain, upgrade, and support systems and software with a focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Develop plans, schedules, and requirements for deployment of systems Create or improve existing scripts and tooling to aid in systems management Diagnose, troubleshoot, and resolve server, workstation, and audio-visual (A/V) issues and/or respond to outages during normal working hours Resolve service-related issues; determine immediate economic and financial consequences of an incident Test and implement upgrades and patches to installed operating systems, software container orchestration platforms (Kubernetes), and modeling & simulation (M&S) applications Maintain reliability of systems by monitoring, running tests, and troubleshooting Monitor backups and plans for installed systems Monitor, maintain, and execute automation processes and CI/CD pipelines Evaluate and recommend new or existing system improvements and/or solutions Create and maintain system documentation of our processes, procedures, plans, and configurations May supervise staff members, including hiring, development, and performance management Required Skills/Experience areas to include: Ability to install, configure, maintain, upgrade, and support systems and software, with a strong focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Skilled in diagnosing, troubleshooting, and resolving server, workstation, and audio-visual (A/V) issues, including responding to system outages during normal business hours Proficiency in testing and implementing upgrades and patches for operating systems, Kubernetes-based container orchestration platforms, and modeling and simulation (M&S) applications Current eligibility for access to classified information at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Your working location will be fully onsite, located in Reston , VA.
11/14/2026
Full time
Job Description We are searching for a Systems Administrator to join the Reston, VA location of the Digital Engineering Department in the Cyber, Modeling, and Simulation Division of the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State. You will maintain the integrity of various high-performance computing (HPC) systems including operating systems, physical servers/workstations, and applications; administer, install, and troubleshoot a variety of Cloud tooling and applications, perform systems maintenance tasks such as troubleshooting and performance evaluation as well as back-up and recovery; perform configuration changes to address customer needs; schedule, install, and test system software upgrades; monitor and maintain software licensing. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply You will: Install, configure, maintain, upgrade, and support systems and software with a focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Develop plans, schedules, and requirements for deployment of systems Create or improve existing scripts and tooling to aid in systems management Diagnose, troubleshoot, and resolve server, workstation, and audio-visual (A/V) issues and/or respond to outages during normal working hours Resolve service-related issues; determine immediate economic and financial consequences of an incident Test and implement upgrades and patches to installed operating systems, software container orchestration platforms (Kubernetes), and modeling & simulation (M&S) applications Maintain reliability of systems by monitoring, running tests, and troubleshooting Monitor backups and plans for installed systems Monitor, maintain, and execute automation processes and CI/CD pipelines Evaluate and recommend new or existing system improvements and/or solutions Create and maintain system documentation of our processes, procedures, plans, and configurations May supervise staff members, including hiring, development, and performance management Required Skills/Experience areas to include: Ability to install, configure, maintain, upgrade, and support systems and software, with a strong focus on Linux (Red Hat), Ansible scripting, and GitLab pipelines Skilled in diagnosing, troubleshooting, and resolving server, workstation, and audio-visual (A/V) issues, including responding to system outages during normal business hours Proficiency in testing and implementing upgrades and patches for operating systems, Kubernetes-based container orchestration platforms, and modeling and simulation (M&S) applications Current eligibility for access to classified information at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Your working location will be fully onsite, located in Reston , VA.
Job Description Job Title: Senior Robotics Test Engineer Location: Logan, UT (Onsite) Hire Type: Contract Job Description We are seeking an experienced Senior Robotics Test Engineer with 7-10 years of experience in testing, verification, and validation of robotics and autonomous systems. The candidate will be responsible for developing test strategies, executing manual and automated testing, collecting and analyzing test data, and ensuring robotic systems meet engineering and functional requirements. Key Responsibilities Develop and execute test plans, test cases, test suites, and data collection strategies. Perform end-to-end testing of robotics hardware, software, firmware, and integrated systems. Design test environments, instrumentation, custom fixtures, and HIL/SIL testing solutions. Develop and maintain automated test frameworks using Python and/or C++. Perform hands-on testing, debugging, and troubleshooting of mechanical, electrical, embedded, and communication systems. Coordinate robotics testing and human-in-the-loop data collection. Analyze test results, identify defects, investigate root causes, and recommend improvements. Maintain test documentation, requirements traceability, defect tracking, and test reports. Collaborate with software, systems, mechanical, electrical, and reliability engineering teams. Mandatory Skills Bachelor's degree in Robotics, Mechatronics, Electrical, Mechanical, Computer Engineering, Computer Science, or a related field. 7-10 years of Test Engineering experience. Strong experience in test strategy, test planning, execution, and system validation. Understanding of system engineering principles and product development lifecycles. Experience with test instrumentation, data collection, and analysis. Hands-on experience with Python and/or C++. Experience with Git or other version control systems. Familiarity with Jira, JAMA, or similar test management tools. Preferred Qualifications Master's degree in Engineering or a related discipline. Experience with robotics and autonomous systems. Knowledge of ROS/ROS2. Experience with HIL/SIL testing and simulation tools such as Gazebo. Understanding of embedded systems, microcontrollers, and communication protocols such as CAN, I2C, and SPI. Physical Requirements Ability to work at a computer workstation for extended periods. Ability to operate computer equipment and review technical information. Strong verbal and written communication skills. Ability to move around office and testing environments.
11/14/2026
Full time
Job Description Job Title: Senior Robotics Test Engineer Location: Logan, UT (Onsite) Hire Type: Contract Job Description We are seeking an experienced Senior Robotics Test Engineer with 7-10 years of experience in testing, verification, and validation of robotics and autonomous systems. The candidate will be responsible for developing test strategies, executing manual and automated testing, collecting and analyzing test data, and ensuring robotic systems meet engineering and functional requirements. Key Responsibilities Develop and execute test plans, test cases, test suites, and data collection strategies. Perform end-to-end testing of robotics hardware, software, firmware, and integrated systems. Design test environments, instrumentation, custom fixtures, and HIL/SIL testing solutions. Develop and maintain automated test frameworks using Python and/or C++. Perform hands-on testing, debugging, and troubleshooting of mechanical, electrical, embedded, and communication systems. Coordinate robotics testing and human-in-the-loop data collection. Analyze test results, identify defects, investigate root causes, and recommend improvements. Maintain test documentation, requirements traceability, defect tracking, and test reports. Collaborate with software, systems, mechanical, electrical, and reliability engineering teams. Mandatory Skills Bachelor's degree in Robotics, Mechatronics, Electrical, Mechanical, Computer Engineering, Computer Science, or a related field. 7-10 years of Test Engineering experience. Strong experience in test strategy, test planning, execution, and system validation. Understanding of system engineering principles and product development lifecycles. Experience with test instrumentation, data collection, and analysis. Hands-on experience with Python and/or C++. Experience with Git or other version control systems. Familiarity with Jira, JAMA, or similar test management tools. Preferred Qualifications Master's degree in Engineering or a related discipline. Experience with robotics and autonomous systems. Knowledge of ROS/ROS2. Experience with HIL/SIL testing and simulation tools such as Gazebo. Understanding of embedded systems, microcontrollers, and communication protocols such as CAN, I2C, and SPI. Physical Requirements Ability to work at a computer workstation for extended periods. Ability to operate computer equipment and review technical information. Strong verbal and written communication skills. Ability to move around office and testing environments.
Job Description Job Title: Senior Salesforce Developer Location: Piscataway, NJ Work Mode: Hybrid Experience: 8+ Years 8+ years of Design, develop, test, and maintain solutions on the Salesforce platform using Apex, Lightning Web Components (LWC) and Flow. Salesforce admin configuration skills (ie: Objects, fields, and relationships; Record Types and Lightning pages; Validation Rules; Reports and dashboards) Experience with software engineering practices and tools including source control, code reviews, CI/CD (Gearset) and debugging. Participate in solution design and architecture discussions with consideration for security, scalability, maintainability, performance, data integrity, and reliability. Work closely with product owners, business partners, engineers, and other technology teams to understand problems and develop appropriate solutions. Translate technical concepts and constraints into clear language for business stakeholders. Participate in Agile delivery activities including refinement, estimation, design discussions, demonstrations, and retrospectives. Contribute to engineering standards, documentation, reusable patterns, and continuous improvement across the team. "VForce Infotech is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected status".
11/14/2026
Full time
Job Description Job Title: Senior Salesforce Developer Location: Piscataway, NJ Work Mode: Hybrid Experience: 8+ Years 8+ years of Design, develop, test, and maintain solutions on the Salesforce platform using Apex, Lightning Web Components (LWC) and Flow. Salesforce admin configuration skills (ie: Objects, fields, and relationships; Record Types and Lightning pages; Validation Rules; Reports and dashboards) Experience with software engineering practices and tools including source control, code reviews, CI/CD (Gearset) and debugging. Participate in solution design and architecture discussions with consideration for security, scalability, maintainability, performance, data integrity, and reliability. Work closely with product owners, business partners, engineers, and other technology teams to understand problems and develop appropriate solutions. Translate technical concepts and constraints into clear language for business stakeholders. Participate in Agile delivery activities including refinement, estimation, design discussions, demonstrations, and retrospectives. Contribute to engineering standards, documentation, reusable patterns, and continuous improvement across the team. "VForce Infotech is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected status".
Job Description Job Overview We are seeking an experienced AI - DLC Technical Program Manager to drive AI-assisted and AI-native software development lifecycle (AI-DLC) initiatives. The ideal candidate will have strong technical expertise in application development, AI/LLMs, cloud engineering, and modern software delivery practices. This role requires someone who can bring business stakeholders, architects, developers, AI engineers, and domain experts together to accelerate software delivery through AI-driven development approaches. The candidate must be technically strong enough to actively participate in engineering discussions, drive rapid prototyping, and ensure solutions are evaluated, refined, and production-ready. Roles and Responsibilities Lead complex software development programs using AI-assisted and AI-native development lifecycle practices. Translate business objectives into clear requirements, technical constraints, success criteria, and executable deliverables. Facilitate collaborative development sessions involving business teams, AI engineers, developers, designers, and architects. Drive rapid prototyping, continuous evaluation, and short feedback loops to accelerate solution delivery. Actively participate in technical discussions related to application architecture, APIs, integrations, AI/LLMs, data, cloud, and security. Identify opportunities where AI can accelerate requirements, design, development, testing, and delivery processes. Establish AI evaluation frameworks, acceptance criteria, quality gates, risk management, and production-readiness standards. Balance development speed with engineering quality, security, compliance, and human validation. Set realistic expectations regarding prototype development versus production-grade implementation. Identify reusable AI-DLC frameworks, accelerators, development patterns, and best practices. Track program success through validated learning, working solutions, measurable business outcomes, and delivered value. Required Technical Skills Strong understanding of AI-assisted and AI-native Software Development Lifecycle (AI-DLC). Practical knowledge of LLMs, Generative AI, Agentic AI, RAG, and Context Engineering. Experience with AI development tools such as: Claude / Claude Code GitHub Copilot Cursor OpenAI / Codex Gemini Azure OpenAI Strong technical understanding of application architecture, APIs, integrations, cloud platforms, data engineering, and CI/CD. Knowledge of software testing, security, observability, AI evaluation, and production deployment. Experience driving rapid build-test-evaluate-refine development cycles. Required Experience and Qualifications 10+ years of experience managing complex software/application development programs. Demonstrated experience in AI-assisted or AI-native software delivery models. Strong technical background with the ability to collaborate closely with engineering teams. Experience managing cross-functional teams and senior stakeholders. Excellent communication, problem-solving, and decision-making skills. Ability to work effectively in ambiguous and fast-paced environments. Bachelor's or Master's degree in Engineering (BE/ME/BTech/MTech/BSc/MSc). Technical certifications across multiple technologies are desirable.
11/14/2026
Full time
Job Description Job Overview We are seeking an experienced AI - DLC Technical Program Manager to drive AI-assisted and AI-native software development lifecycle (AI-DLC) initiatives. The ideal candidate will have strong technical expertise in application development, AI/LLMs, cloud engineering, and modern software delivery practices. This role requires someone who can bring business stakeholders, architects, developers, AI engineers, and domain experts together to accelerate software delivery through AI-driven development approaches. The candidate must be technically strong enough to actively participate in engineering discussions, drive rapid prototyping, and ensure solutions are evaluated, refined, and production-ready. Roles and Responsibilities Lead complex software development programs using AI-assisted and AI-native development lifecycle practices. Translate business objectives into clear requirements, technical constraints, success criteria, and executable deliverables. Facilitate collaborative development sessions involving business teams, AI engineers, developers, designers, and architects. Drive rapid prototyping, continuous evaluation, and short feedback loops to accelerate solution delivery. Actively participate in technical discussions related to application architecture, APIs, integrations, AI/LLMs, data, cloud, and security. Identify opportunities where AI can accelerate requirements, design, development, testing, and delivery processes. Establish AI evaluation frameworks, acceptance criteria, quality gates, risk management, and production-readiness standards. Balance development speed with engineering quality, security, compliance, and human validation. Set realistic expectations regarding prototype development versus production-grade implementation. Identify reusable AI-DLC frameworks, accelerators, development patterns, and best practices. Track program success through validated learning, working solutions, measurable business outcomes, and delivered value. Required Technical Skills Strong understanding of AI-assisted and AI-native Software Development Lifecycle (AI-DLC). Practical knowledge of LLMs, Generative AI, Agentic AI, RAG, and Context Engineering. Experience with AI development tools such as: Claude / Claude Code GitHub Copilot Cursor OpenAI / Codex Gemini Azure OpenAI Strong technical understanding of application architecture, APIs, integrations, cloud platforms, data engineering, and CI/CD. Knowledge of software testing, security, observability, AI evaluation, and production deployment. Experience driving rapid build-test-evaluate-refine development cycles. Required Experience and Qualifications 10+ years of experience managing complex software/application development programs. Demonstrated experience in AI-assisted or AI-native software delivery models. Strong technical background with the ability to collaborate closely with engineering teams. Experience managing cross-functional teams and senior stakeholders. Excellent communication, problem-solving, and decision-making skills. Ability to work effectively in ambiguous and fast-paced environments. Bachelor's or Master's degree in Engineering (BE/ME/BTech/MTech/BSc/MSc). Technical certifications across multiple technologies are desirable.
Pay Range: $65.00hr - $70.00hr Job Overview: The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Qualifications: 12+ years of enterprise architecture and software engineering experience. 8+ years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery. Experience working with major financial institutions is preferred, with a focus on large-scale AWS migrations. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities: Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision making. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $65.00hr - $70.00hr Job Overview: The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Qualifications: 12+ years of enterprise architecture and software engineering experience. 8+ years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery. Experience working with major financial institutions is preferred, with a focus on large-scale AWS migrations. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities: Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision making. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: Pennington, NJ / Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: Pennington: NJ2-150-04-71 -BR $96.92 (Pay Rate: $68.25) Jersey City: NJ2-525-31-02 -BR $96.92 (Pay Rate: $68.25) Charlotte: NC1-021-03-13 BR $ 92.39 (Pay Rate: $65.06) Job ID: 412171 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases. Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives. Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation to improve end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments. Conduct research and prototyping to identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions. Required Skills & Qualifications: 7+ years of Python development, including production-grade services and tooling. Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG). FastAPI or similar Python web frameworks for building APIs and microservices. Extensive experience designing and implementing multi-tier and microservices application platforms. Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams. Track record of delivering projects on time and on budget. High proficiency in Unix scripting and automation for SDLC efficiencies. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions in enterprise environments. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet a defined start date. Please account for any potential visa-related delays before submission. Schedule: 8 hours per day. Labor Type: Technical. Assessment: GLIDER - BOA-AppProg-IV-V-3 may apply. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Ensure your preferred approved location is listed at the top of your resume.
11/14/2026
Full time
Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: Pennington, NJ / Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: Pennington: NJ2-150-04-71 -BR $96.92 (Pay Rate: $68.25) Jersey City: NJ2-525-31-02 -BR $96.92 (Pay Rate: $68.25) Charlotte: NC1-021-03-13 BR $ 92.39 (Pay Rate: $65.06) Job ID: 412171 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases. Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives. Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation to improve end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments. Conduct research and prototyping to identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions. Required Skills & Qualifications: 7+ years of Python development, including production-grade services and tooling. Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG). FastAPI or similar Python web frameworks for building APIs and microservices. Extensive experience designing and implementing multi-tier and microservices application platforms. Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams. Track record of delivering projects on time and on budget. High proficiency in Unix scripting and automation for SDLC efficiencies. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions in enterprise environments. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet a defined start date. Please account for any potential visa-related delays before submission. Schedule: 8 hours per day. Labor Type: Technical. Assessment: GLIDER - BOA-AppProg-IV-V-3 may apply. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Ensure your preferred approved location is listed at the top of your resume.
Credit Acceptance Corporation
San Francisco, California
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details
11/14/2026
Full time
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Credit Acceptance makes vehicle ownership possible for consumers other lenders decline, through a dealer network, an originations and servicing platform, and pricing and decisioning models refined over decades. The technology estate underneath this business was built project by project over a long period, and modernizing it is the largest engineering opportunity at the company. As the Distinguished Engineer, you are the senior-most individual contributor in Technology, reporting directly to the Chief Technology Officer. You will set the multi-year technical strategy for the company while staying close enough to the code and systems to remain credible - this is not an architect role that reviews designs from a distance, nor a strong engineer role that goes deep in a single domain. Two things sit at the center of the job: the target architecture for the enterprise, and the architecture for running AI agents across it. You will not own a team; you will own the hardest technical problems the company has, and get them resolved by convincing the people who do own the teams. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
11/14/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-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: 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). 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. 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). 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. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-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: 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). 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. 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). 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. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Pay Range: $77.00hr - $82.00hr Job Overview: The Project Manager independently leads delivery for software product initiatives in an AI-enabled SDLC. This role combines strong execution ownership with growing breadth across product thinking, engineering operations, Agile coaching, stakeholder management, data-driven reporting, and AI-assisted workflow adoption. The role owns project-level planning, risk management, backlog quality, delivery metrics, scope control, and stakeholder coordination, while contributing meaningfully to capacity planning, product Client support, release coordination, and continuous improvement. This is an experienced PM role with full project ownership and growing influence across teams. Responsibilities: Build and manage project plans independently, including dependencies, buffers, sequencing, and critical path considerations. Lead day-to-day delivery execution across one or more Agile teams, ensuring work progresses predictably and transparently. Partner with Development Managers and team leads to adapt plans as scope, delivery context, or business priorities evolve. Support implementation roadmaps and maintain delivery accuracy across Jira and related tooling. Proactively identify, assess, score, and mitigate delivery risks; facilitate project-level risk reviews and determine when escalation is needed. Own project-level scope and change management by maintaining change logs, communicating impacts, and facilitating scope trade-off decisions. Plan resource allocation at the project level, forecast capacity gaps, and coordinate shared resources across teams. Coordinate releases, dependencies, and change impacts across one or more workstreams. Maintain a well-prioritized, estimable backlog and facilitate effective refinement sessions to keep work sprint-ready. Lead requirements workshops and translate business needs into clear, testable user stories and delivery-ready specifications. Build project dashboards and reporting views tailored to stakeholder needs, surfacing insights rather than only status. Use metrics such as velocity, throughput, risk trends, and delivery health indicators to guide execution decisions. Manage a diverse stakeholder group independently and tailor communication to technical, product, and business audiences. Navigate conflicting priorities and facilitate alignment across teams and functions. Provide clear, timely updates on progress, risks, delivery health, and decisions. Facilitate cross-team discussions and drive action-oriented follow-through. Apply Agile practices consistently and adapt ceremonies to team context and maturity. Facilitate retrospectives, planning workshops, Client sessions, and other working forums that improve clarity and execution. Organize learning sessions, office hours, and improvement activities that strengthen delivery discipline and collaboration. Coach teams on iterative delivery, continuous improvement, and effective team practices. Use approved AI tools for risk summaries, retrospective outputs, stakeholder communication, and first-pass delivery planning. Critically assess AI-generated outputs and identify when results are incomplete, unreliable, or require refinement. Proactively adopt AI tools to improve personal and team productivity and share effective use cases with the team. Contribute to roadmap and Client conversations by surfacing delivery insights, customer context, and business trade-offs. Participate in design reviews and Client activities, advocating for user needs and product quality in delivery decisions. Qualifications: Bachelor's degree or equivalent practical experience. 5 7 years of experience in project management, Agile delivery, product delivery, or related software development roles. Proven ability to independently manage project plans, RAID processes, backlog health, and delivery reporting. Experience working directly with engineering, product, and cross-functional stakeholders in software product environments. Strong facilitation, communication, and prioritization skills. Hands-on experience with Jira and related delivery/reporting tools. Preferred Qualifications: Experience with release coordination, capacity planning, and backlog ownership. Familiarity with engineering metrics, delivery dashboards, and basic product metrics. Experience with AI-assisted project delivery workflows in an approved enterprise environment. Agile, Scrum, SAFe, or product-related certification is a plus. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $77.00hr - $82.00hr Job Overview: The Project Manager independently leads delivery for software product initiatives in an AI-enabled SDLC. This role combines strong execution ownership with growing breadth across product thinking, engineering operations, Agile coaching, stakeholder management, data-driven reporting, and AI-assisted workflow adoption. The role owns project-level planning, risk management, backlog quality, delivery metrics, scope control, and stakeholder coordination, while contributing meaningfully to capacity planning, product Client support, release coordination, and continuous improvement. This is an experienced PM role with full project ownership and growing influence across teams. Responsibilities: Build and manage project plans independently, including dependencies, buffers, sequencing, and critical path considerations. Lead day-to-day delivery execution across one or more Agile teams, ensuring work progresses predictably and transparently. Partner with Development Managers and team leads to adapt plans as scope, delivery context, or business priorities evolve. Support implementation roadmaps and maintain delivery accuracy across Jira and related tooling. Proactively identify, assess, score, and mitigate delivery risks; facilitate project-level risk reviews and determine when escalation is needed. Own project-level scope and change management by maintaining change logs, communicating impacts, and facilitating scope trade-off decisions. Plan resource allocation at the project level, forecast capacity gaps, and coordinate shared resources across teams. Coordinate releases, dependencies, and change impacts across one or more workstreams. Maintain a well-prioritized, estimable backlog and facilitate effective refinement sessions to keep work sprint-ready. Lead requirements workshops and translate business needs into clear, testable user stories and delivery-ready specifications. Build project dashboards and reporting views tailored to stakeholder needs, surfacing insights rather than only status. Use metrics such as velocity, throughput, risk trends, and delivery health indicators to guide execution decisions. Manage a diverse stakeholder group independently and tailor communication to technical, product, and business audiences. Navigate conflicting priorities and facilitate alignment across teams and functions. Provide clear, timely updates on progress, risks, delivery health, and decisions. Facilitate cross-team discussions and drive action-oriented follow-through. Apply Agile practices consistently and adapt ceremonies to team context and maturity. Facilitate retrospectives, planning workshops, Client sessions, and other working forums that improve clarity and execution. Organize learning sessions, office hours, and improvement activities that strengthen delivery discipline and collaboration. Coach teams on iterative delivery, continuous improvement, and effective team practices. Use approved AI tools for risk summaries, retrospective outputs, stakeholder communication, and first-pass delivery planning. Critically assess AI-generated outputs and identify when results are incomplete, unreliable, or require refinement. Proactively adopt AI tools to improve personal and team productivity and share effective use cases with the team. Contribute to roadmap and Client conversations by surfacing delivery insights, customer context, and business trade-offs. Participate in design reviews and Client activities, advocating for user needs and product quality in delivery decisions. Qualifications: Bachelor's degree or equivalent practical experience. 5 7 years of experience in project management, Agile delivery, product delivery, or related software development roles. Proven ability to independently manage project plans, RAID processes, backlog health, and delivery reporting. Experience working directly with engineering, product, and cross-functional stakeholders in software product environments. Strong facilitation, communication, and prioritization skills. Hands-on experience with Jira and related delivery/reporting tools. Preferred Qualifications: Experience with release coordination, capacity planning, and backlog ownership. Familiarity with engineering metrics, delivery dashboards, and basic product metrics. Experience with AI-assisted project delivery workflows in an approved enterprise environment. Agile, Scrum, SAFe, or product-related certification is a plus. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking a Senior Software Engineer to build and sustain enterprise applications that Department of Defense (DoD)/Department of War (DoW) personnel depend on daily for program and financial management activities. Our stack includes Java and Spring Boot on the back end, Angular on the front end, and Oracle underneath, with applications deployed to government-approved cloud environments (such as AWS GovCloud) through automated pipelines that meet DoD/DoW security requirements. We place greater emphasis on an engineer's problem-solving approach, technical judgment, and ability to understand systems end-to-end than on experience with any specific set of frameworks or tools. Successful engineers in this role can quickly assess unfamiliar code, develop a clear understanding of how components interact from the database through the user interface, and design solutions that are reliable, maintainable, and scalable over time. We expect engineers to use AI-enabled tools effectively while remaining accountable for the quality, security, and performance of their work. Technical depth is important, but so are adaptability, sound judgment, clear communication, and disciplined engineering practices. You will work as part of a product team supporting an established enterprise application that DoD/DoW organizations rely on to manage program and financial data at scale. The role includes sustaining and enhancing capabilities customers depend on today, modernizing the underlying technology, and developing new functionality. You will regularly work within an existing codebase and exercise sound technical judgment when determining whether existing solutions should be improved, refactored, replaced, or retained. The ability to thoughtfully evaluate and evolve established systems is as important as the ability to design and build new capabilities. Responsibilities include, but are not limited to, the following: Own application capabilities from concept through production, including requirements analysis, solution design, API development, implementation, testing, deployment, verification, and sustainment. Use AI development tools where they improve efficiency across coding, testing, schema changes, documentation, and deployment activities, while remaining fully accountable for the correctness, security, and maintainability of all delivered work. Model data as part of feature design by designing tables, keys, constraints, and indexes that efficiently and securely support applications and APIs, and evolve existing schemas as requirements change. Write SQL directly against Oracle and understand database execution and performance implications. Contribute to Angular front-end work as features require, whether or not it is your primary specialty. Own your changes through the pipeline, including build, security scanning, testing, deployment, and verification in the target environment. Write clean, well-tested code, clearly explain technical approaches for peer review, and provide substantive and constructive reviews of others' work. Investigate defects efficiently to identify root causes rather than stopping at the first plausible explanation. Participate in architecture and design decisions, and advocate for technically sound approaches supported by clear rationale. Knowledge and Skills: Demonstrated depth in relational databases, including designing schemas and writing, reading, and reasoning about non-trivial SQL, preferably in Oracle environments. Working familiarity with a modern front-end framework, such as Angular or React. Experience delivering software through CI/CD into a cloud environment using a mainstream toolchain, such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, Bitbucket Pipelines, or equivalent. Recent hands-on experience with a modern Java LTS release (21 or 25). What Distinguishes Strong Candidates You may not have experience in every area listed below. These qualifications are intended to provide insight into the technical and operational environment in which you will work and the capabilities that can contribute to success in this role. Data access breadth - Experience working with both JPA/Hibernate and JDBC-based approaches, with the ability to determine when each is appropriate; familiarity with schema migration tools such as Flyway or Liquibase. Cloud and operations - Experience with AWS services such as ECS/Fargate, RDS, S3, and IAM; container build and runtime environments; and infrastructure as code. Pipeline and supply chain - Experience with static analysis and dependency scanning tools such as SonarQube, Fortify, Trivy, or Snyk; artifact promotion and provenance; and pipeline development within a modern CI/CD platform. Security engineering - Experience with PKI and certificate management, TLS configuration, secrets management, FIPS-validated cryptography, and secure software development under DoD/DoW requirements. Regulated delivery - Experience delivering software in environments governed by STIGs, RMF, ATO processes, or similar security and compliance frameworks. Domain - Experience with federal financial management, Planning, Programming, Budgeting, and Execution (PPBE), or DoD/DoW systems acquisition. AI-assisted development - Demonstrated experience using AI-enabled development tools in production software environments, combined with the judgment to validate outputs, recognize limitations, and determine when independent technical analysis is required. Education and Work Experience: This position requires seven (7) or more years of professional software development experience, with substantial hands-on experience in Java and Spring Boot. This position requires a minimum of a Bachelor's degree from an accredited college or university in data science, computer science, software engineering, information systems, mathematics, or a closely related technical discipline. Experience in lieu of education may be considered if the individual has eleven (11) or more years of relevant technical training or professional work experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas effectively so others can understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, equipment, and other work-related resources, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain Secret clearance is required for this role. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. Please note: All candidates being considered for this position will be required to complete a technical assessment designed to evaluate their engineering and coding skills. The assessment may include general coding exercises, code testing and debugging, problem-solving, ability to follow technical requirements, and attention to detail. The assessment is expected to take approximately 60 minutes to complete. It is being administered for candidate evaluation purposes only, and any code or work product submitted as part of the assessment will not be used for business or production purposes. If you require a reasonable accommodation to complete the assessment, please notify our Human Resources team in advance so we can support your request. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses . click apply for full job details
11/14/2026
Full time
Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking a Senior Software Engineer to build and sustain enterprise applications that Department of Defense (DoD)/Department of War (DoW) personnel depend on daily for program and financial management activities. Our stack includes Java and Spring Boot on the back end, Angular on the front end, and Oracle underneath, with applications deployed to government-approved cloud environments (such as AWS GovCloud) through automated pipelines that meet DoD/DoW security requirements. We place greater emphasis on an engineer's problem-solving approach, technical judgment, and ability to understand systems end-to-end than on experience with any specific set of frameworks or tools. Successful engineers in this role can quickly assess unfamiliar code, develop a clear understanding of how components interact from the database through the user interface, and design solutions that are reliable, maintainable, and scalable over time. We expect engineers to use AI-enabled tools effectively while remaining accountable for the quality, security, and performance of their work. Technical depth is important, but so are adaptability, sound judgment, clear communication, and disciplined engineering practices. You will work as part of a product team supporting an established enterprise application that DoD/DoW organizations rely on to manage program and financial data at scale. The role includes sustaining and enhancing capabilities customers depend on today, modernizing the underlying technology, and developing new functionality. You will regularly work within an existing codebase and exercise sound technical judgment when determining whether existing solutions should be improved, refactored, replaced, or retained. The ability to thoughtfully evaluate and evolve established systems is as important as the ability to design and build new capabilities. Responsibilities include, but are not limited to, the following: Own application capabilities from concept through production, including requirements analysis, solution design, API development, implementation, testing, deployment, verification, and sustainment. Use AI development tools where they improve efficiency across coding, testing, schema changes, documentation, and deployment activities, while remaining fully accountable for the correctness, security, and maintainability of all delivered work. Model data as part of feature design by designing tables, keys, constraints, and indexes that efficiently and securely support applications and APIs, and evolve existing schemas as requirements change. Write SQL directly against Oracle and understand database execution and performance implications. Contribute to Angular front-end work as features require, whether or not it is your primary specialty. Own your changes through the pipeline, including build, security scanning, testing, deployment, and verification in the target environment. Write clean, well-tested code, clearly explain technical approaches for peer review, and provide substantive and constructive reviews of others' work. Investigate defects efficiently to identify root causes rather than stopping at the first plausible explanation. Participate in architecture and design decisions, and advocate for technically sound approaches supported by clear rationale. Knowledge and Skills: Demonstrated depth in relational databases, including designing schemas and writing, reading, and reasoning about non-trivial SQL, preferably in Oracle environments. Working familiarity with a modern front-end framework, such as Angular or React. Experience delivering software through CI/CD into a cloud environment using a mainstream toolchain, such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, Bitbucket Pipelines, or equivalent. Recent hands-on experience with a modern Java LTS release (21 or 25). What Distinguishes Strong Candidates You may not have experience in every area listed below. These qualifications are intended to provide insight into the technical and operational environment in which you will work and the capabilities that can contribute to success in this role. Data access breadth - Experience working with both JPA/Hibernate and JDBC-based approaches, with the ability to determine when each is appropriate; familiarity with schema migration tools such as Flyway or Liquibase. Cloud and operations - Experience with AWS services such as ECS/Fargate, RDS, S3, and IAM; container build and runtime environments; and infrastructure as code. Pipeline and supply chain - Experience with static analysis and dependency scanning tools such as SonarQube, Fortify, Trivy, or Snyk; artifact promotion and provenance; and pipeline development within a modern CI/CD platform. Security engineering - Experience with PKI and certificate management, TLS configuration, secrets management, FIPS-validated cryptography, and secure software development under DoD/DoW requirements. Regulated delivery - Experience delivering software in environments governed by STIGs, RMF, ATO processes, or similar security and compliance frameworks. Domain - Experience with federal financial management, Planning, Programming, Budgeting, and Execution (PPBE), or DoD/DoW systems acquisition. AI-assisted development - Demonstrated experience using AI-enabled development tools in production software environments, combined with the judgment to validate outputs, recognize limitations, and determine when independent technical analysis is required. Education and Work Experience: This position requires seven (7) or more years of professional software development experience, with substantial hands-on experience in Java and Spring Boot. This position requires a minimum of a Bachelor's degree from an accredited college or university in data science, computer science, software engineering, information systems, mathematics, or a closely related technical discipline. Experience in lieu of education may be considered if the individual has eleven (11) or more years of relevant technical training or professional work experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas effectively so others can understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, equipment, and other work-related resources, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain Secret clearance is required for this role. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. Please note: All candidates being considered for this position will be required to complete a technical assessment designed to evaluate their engineering and coding skills. The assessment may include general coding exercises, code testing and debugging, problem-solving, ability to follow technical requirements, and attention to detail. The assessment is expected to take approximately 60 minutes to complete. It is being administered for candidate evaluation purposes only, and any code or work product submitted as part of the assessment will not be used for business or production purposes. If you require a reasonable accommodation to complete the assessment, please notify our Human Resources team in advance so we can support your request. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses . click apply for full job details
Job Description Date Posted: 2026-11-13 Country: United States of America Location: US-TX-MCKINNEY-513WD 2501 W University Dr WING D BLDG 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: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's 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. Join our team as a Senior Embedded Software Engineer - High Energy Laser (HEL), where you will play a critical role in supporting all aspects of the software development lifecycle. This position involves working on both new and legacy military and commercial programs, from concept and requirements to design, development, integration, testing, and maintenance. You will collaborate closely with systems engineers and multidisciplinary teams to develop creative solutions for complex technical challenges while keeping end-user and operational needs in mind. What You Will Do Develop, test, and integrate real-time software applications written in C++ for embedded systems. Design and implement software solutions using object-oriented programming principles and C++ design paradigms. Contribute to the development and maintenance of software on Linux, VxWorks, or other Real-Time Operating Systems. Utilize computer scripting languages such as Shell, Perl, or Python for automation and development tasks. Collaborate with multi-discipline teams to ensure seamless integration of software with physical hardware, including test benches and simulators. Provide technical solutions to complex system and software integration challenges. Support Agile software development processes, including Scrum techniques and DevSecOps pipeline implementation. Participate in occasional business-related travel to support program needs. This job is onsite in McKinney, TX; applicants must be in the area or willing to relocate to it. Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior engineering experience. Experience developing, testing, and integrating real-time software applications in C++ on Linux, VxWorks, and other Real-Time Operating Systems (RTOS). Experience applying object-oriented programming paradigms and C++ design principles, and coding in C, C#, Java, or closely related software languages. Experience using Shell, Perl, and Python scripting languages and working with multi-disciplinary teams. Ability to obtain InterimSecret U.S. government issued security clearance is required prior to start date. Qualifications We Prefer Active and transferable Secret U.S. government issued security clearance. Additional experience in coding using Ada language. Experience working in lab environments with physical hardware (e.g., test benches, simulators). Experience with product development using Scrum techniques in an Agile software development process. Experience with DevSecOps pipeline implementation, including Static Code Analysis, Automated Build, and Automated Test techniques using continuous integration/continuous delivery with a Test-Driven Development approach. Hands-on experience with Git or BitBucket for version control and GitLab/BitBucket for repository management. Experience developing in CUDA to accelerate compute-intensive workloads on Nvidia GPUs. Ability to manage multiple priorities effectively. Ability to quickly understand and navigate complex systems and established code bases. 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 ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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 McKinney, TX. -north-texas-location Welcome to Raytheon in McKinney, TX - YouTube We Are RTX 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 86,800 USD - 165,200 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, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/14/2026
Full time
Job Description Date Posted: 2026-11-13 Country: United States of America Location: US-TX-MCKINNEY-513WD 2501 W University Dr WING D BLDG 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: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's 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. Join our team as a Senior Embedded Software Engineer - High Energy Laser (HEL), where you will play a critical role in supporting all aspects of the software development lifecycle. This position involves working on both new and legacy military and commercial programs, from concept and requirements to design, development, integration, testing, and maintenance. You will collaborate closely with systems engineers and multidisciplinary teams to develop creative solutions for complex technical challenges while keeping end-user and operational needs in mind. What You Will Do Develop, test, and integrate real-time software applications written in C++ for embedded systems. Design and implement software solutions using object-oriented programming principles and C++ design paradigms. Contribute to the development and maintenance of software on Linux, VxWorks, or other Real-Time Operating Systems. Utilize computer scripting languages such as Shell, Perl, or Python for automation and development tasks. Collaborate with multi-discipline teams to ensure seamless integration of software with physical hardware, including test benches and simulators. Provide technical solutions to complex system and software integration challenges. Support Agile software development processes, including Scrum techniques and DevSecOps pipeline implementation. Participate in occasional business-related travel to support program needs. This job is onsite in McKinney, TX; applicants must be in the area or willing to relocate to it. Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior engineering experience. Experience developing, testing, and integrating real-time software applications in C++ on Linux, VxWorks, and other Real-Time Operating Systems (RTOS). Experience applying object-oriented programming paradigms and C++ design principles, and coding in C, C#, Java, or closely related software languages. Experience using Shell, Perl, and Python scripting languages and working with multi-disciplinary teams. Ability to obtain InterimSecret U.S. government issued security clearance is required prior to start date. Qualifications We Prefer Active and transferable Secret U.S. government issued security clearance. Additional experience in coding using Ada language. Experience working in lab environments with physical hardware (e.g., test benches, simulators). Experience with product development using Scrum techniques in an Agile software development process. Experience with DevSecOps pipeline implementation, including Static Code Analysis, Automated Build, and Automated Test techniques using continuous integration/continuous delivery with a Test-Driven Development approach. Hands-on experience with Git or BitBucket for version control and GitLab/BitBucket for repository management. Experience developing in CUDA to accelerate compute-intensive workloads on Nvidia GPUs. Ability to manage multiple priorities effectively. Ability to quickly understand and navigate complex systems and established code bases. 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 ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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 McKinney, TX. -north-texas-location Welcome to Raytheon in McKinney, TX - YouTube We Are RTX 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 86,800 USD - 165,200 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, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Assistant Chief Engineer - Structural (Bridge) Wall Township, NJ French & Parrello Associates (FPA) is seeking an experienced and highly respected Assistant Chief Engineer - Bridge to provide technical leadership and strategic direction for our growing Bridge Department at our headquarters in Wall Township, NJ. This is a unique opportunity for a senior transportation engineering professional who wants to make a significant impact by leading complex bridge projects, mentoring talented engineers, advancing technical excellence, and helping shape the continued growth of one of the Northeast's fastest-growing engineering consulting firms. Recognized year after year as one of NJBIZ's Best Places to Work in New Jersey, FPA is committed to creating a culture where talented professionals are empowered to grow, collaborate, and lead. In 2026, FPA was ranked on Zweig's Hot Firm List, recognizing the firm among the 100 fastest-growing AEC firms in the United States and Canada. Our continued growth is driven by our investment in our people, technical expertise, and commitment to delivering innovative infrastructure solutions for the communities we serve. The successful candidate will serve as a technical leader within FPA's Bridge Department, providing oversight and guidance on complex bridge design, rehabilitation, and transportation infrastructure projects throughout New Jersey and the region. This individual will work closely with project managers, engineers, and multidisciplinary teams to ensure the successful delivery of high-quality engineering solutions while advancing the department's technical capabilities and reputation. This role is ideal for a recognized bridge engineering professional who enjoys solving complex technical challenges, developing engineering talent, collaborating with clients and agencies, and contributing to the strategic growth of a multidisciplinary engineering firm. Unlike larger organizations where senior technical professionals can become disconnected from project teams and decision-making, FPA provides the opportunity to directly influence projects, mentor future leaders, and play a key role in shaping the future of our Bridge practice. Bridge Engineering Expertise & Project Experience FPA's Bridge Department has a long-standing reputation for delivering innovative solutions for complex transportation infrastructure projects throughout New Jersey and the Northeast. Our team has successfully completed bridge design, rehabilitation, inspection, and construction support assignments for NJDOT, DRJTBC, NJ Turnpike Authority, Garden State Parkway, PennDOT, counties, municipalities, and other transportation agencies. Our experience includes major bridge replacements, deck replacements, structural rehabilitations, bridge widenings, load ratings, seismic evaluations, staged construction projects, and complex transportation improvements involving steel plate girders, rolled steel beams, prestressed concrete systems, culverts, pedestrian bridges, and specialty structures. The Assistant Chief Engineer - Bridge will have the opportunity to lead projects that shape the region's transportation network, including major highway structures, historic bridge rehabilitations, waterfront and movable bridge projects, and technically challenging infrastructure improvements. FPA's portfolio includes work on critical corridors such as US Routes 1, 22, 27, 33, and 80, as well as significant assignments for public agencies requiring innovative engineering solutions, multidisciplinary coordination, and a commitment to quality from preliminary design through construction completion. Responsibilities • Provide technical leadership and oversight for complex bridge design, rehabilitation, replacement, and transportation infrastructure projects • Serve as a senior technical resource for bridge engineering teams, providing guidance on design approaches, engineering solutions, and project delivery strategies • Lead quality assurance and quality control (QA/QC) reviews of bridge plans, calculations, specifications, technical reports, and design documentation • Oversee structural analysis and design activities in accordance with AASHTO LRFD Bridge Design Specifications, NJDOT standards, and applicable agency requirements • Provide technical direction for bridge modeling, load rating analyses, structural evaluations, and rehabilitation design efforts • Collaborate with Project Managers and multidisciplinary teams including roadway, traffic, geotechnical, environmental, hydraulic, and construction engineering professionals • Support complex project pursuits through technical strategy, proposal development, interviews, and client presentations • Maintain and strengthen relationships with NJDOT, county engineering departments, municipalities, and other transportation agencies • Mentor, coach, and develop engineers within the Bridge Department by providing technical guidance and supporting professional growth • Assist with the development of department standards, technical resources, and best practices to enhance project delivery and engineering excellence • Participate in strategic planning initiatives to support continued growth of FPA's transportation and bridge practice • Conduct site visits, bridge inspections, and field assessments as needed to support project delivery and technical decision-making Qualifications • Bachelor's degree in Civil Engineering required; Master's degree in Structural Engineering required • Professional Engineer (PE) license required; New Jersey, New York and/or Pennsylvania PE preferred or ability to obtain through reciprocity • 15+ years of progressive bridge design and structural engineering experience • Extensive experience delivering complex bridge and transportation infrastructure projects/Historical Bridge Design Rehabilitation experience is a plus • Advanced knowledge of AASHTO LRFD Bridge Design Specifications and NJDOT bridge design procedure • Strong technical expertise in bridge analysis, rehabilitation, replacement, and structural evaluation • Proficiency with bridge design and analysis software such as LEAP Bridge, LARSA, MIDAS, CSiBridge, STAAD, or equivalent programs • Experience with AutoCAD and/or MicroStation required • Demonstrated ability to provide technical leadership, mentor engineers, and elevate team performance • Strong communication, organization, and problem-solving skills with the ability to collaborate across disciplines • Established relationships with transportation agencies, municipalities, and public-sector clients preferred • Experience supporting business development, proposal preparation, and client engagement activities preferred Additional Information • Sponsorship for U.S. employment authorization is not available for this position. • Relocation assistance is available for this position. Don't meet every qualification? At FPA, we recognize that great candidates bring diverse experiences and perspectives. If you are excited about this opportunity but do not meet every listed requirement, we encourage you to apply. Your experience may be exactly what we need for this role or another opportunity within our growing team. The FPA Difference Large firms offer scale. FPA offers opportunity. For more than 50 years, French & Parrello Associates (FPA) has been delivering innovative engineering solutions that shape communities, improve infrastructure, and support regional growth. As an employee-owned, mid-sized engineering and consulting firm, FPA combines the technical capabilities and expertise of a larger organization with the collaboration, accessibility, and personal investment of a close-knit team. At FPA, senior technical leaders have the opportunity to make a meaningful impact beyond individual projects. You will help shape engineering standards, mentor the next generation of professionals, collaborate with industry leaders, and influence the continued growth and success of our Bridge Department. Our multidisciplinary approach allows technical leaders to see the full picture, from concept development and design through construction completion, while collaborating with experts across transportation, structural, environmental, water resources, and other engineering disciplines. We invest in our people through mentorship, professional development, and opportunities for leadership because we believe the success of our employees drives the continued success of our firm. At FPA, you are not just providing engineering expertise, you are helping build a growing organization and shaping the infrastructure that supports communities for generations. Benefits Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement plans. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. Compensation The projected compensation range for this position is $150,000 to $200,000. Actual compensation will depend on factors including experience, education, qualifications, and skill set. FPA recognizes and rewards performance through an annual bonus program and offers a signing bonus for this particular position for qualified candidates.
11/14/2026
Full time
Job Description Assistant Chief Engineer - Structural (Bridge) Wall Township, NJ French & Parrello Associates (FPA) is seeking an experienced and highly respected Assistant Chief Engineer - Bridge to provide technical leadership and strategic direction for our growing Bridge Department at our headquarters in Wall Township, NJ. This is a unique opportunity for a senior transportation engineering professional who wants to make a significant impact by leading complex bridge projects, mentoring talented engineers, advancing technical excellence, and helping shape the continued growth of one of the Northeast's fastest-growing engineering consulting firms. Recognized year after year as one of NJBIZ's Best Places to Work in New Jersey, FPA is committed to creating a culture where talented professionals are empowered to grow, collaborate, and lead. In 2026, FPA was ranked on Zweig's Hot Firm List, recognizing the firm among the 100 fastest-growing AEC firms in the United States and Canada. Our continued growth is driven by our investment in our people, technical expertise, and commitment to delivering innovative infrastructure solutions for the communities we serve. The successful candidate will serve as a technical leader within FPA's Bridge Department, providing oversight and guidance on complex bridge design, rehabilitation, and transportation infrastructure projects throughout New Jersey and the region. This individual will work closely with project managers, engineers, and multidisciplinary teams to ensure the successful delivery of high-quality engineering solutions while advancing the department's technical capabilities and reputation. This role is ideal for a recognized bridge engineering professional who enjoys solving complex technical challenges, developing engineering talent, collaborating with clients and agencies, and contributing to the strategic growth of a multidisciplinary engineering firm. Unlike larger organizations where senior technical professionals can become disconnected from project teams and decision-making, FPA provides the opportunity to directly influence projects, mentor future leaders, and play a key role in shaping the future of our Bridge practice. Bridge Engineering Expertise & Project Experience FPA's Bridge Department has a long-standing reputation for delivering innovative solutions for complex transportation infrastructure projects throughout New Jersey and the Northeast. Our team has successfully completed bridge design, rehabilitation, inspection, and construction support assignments for NJDOT, DRJTBC, NJ Turnpike Authority, Garden State Parkway, PennDOT, counties, municipalities, and other transportation agencies. Our experience includes major bridge replacements, deck replacements, structural rehabilitations, bridge widenings, load ratings, seismic evaluations, staged construction projects, and complex transportation improvements involving steel plate girders, rolled steel beams, prestressed concrete systems, culverts, pedestrian bridges, and specialty structures. The Assistant Chief Engineer - Bridge will have the opportunity to lead projects that shape the region's transportation network, including major highway structures, historic bridge rehabilitations, waterfront and movable bridge projects, and technically challenging infrastructure improvements. FPA's portfolio includes work on critical corridors such as US Routes 1, 22, 27, 33, and 80, as well as significant assignments for public agencies requiring innovative engineering solutions, multidisciplinary coordination, and a commitment to quality from preliminary design through construction completion. Responsibilities • Provide technical leadership and oversight for complex bridge design, rehabilitation, replacement, and transportation infrastructure projects • Serve as a senior technical resource for bridge engineering teams, providing guidance on design approaches, engineering solutions, and project delivery strategies • Lead quality assurance and quality control (QA/QC) reviews of bridge plans, calculations, specifications, technical reports, and design documentation • Oversee structural analysis and design activities in accordance with AASHTO LRFD Bridge Design Specifications, NJDOT standards, and applicable agency requirements • Provide technical direction for bridge modeling, load rating analyses, structural evaluations, and rehabilitation design efforts • Collaborate with Project Managers and multidisciplinary teams including roadway, traffic, geotechnical, environmental, hydraulic, and construction engineering professionals • Support complex project pursuits through technical strategy, proposal development, interviews, and client presentations • Maintain and strengthen relationships with NJDOT, county engineering departments, municipalities, and other transportation agencies • Mentor, coach, and develop engineers within the Bridge Department by providing technical guidance and supporting professional growth • Assist with the development of department standards, technical resources, and best practices to enhance project delivery and engineering excellence • Participate in strategic planning initiatives to support continued growth of FPA's transportation and bridge practice • Conduct site visits, bridge inspections, and field assessments as needed to support project delivery and technical decision-making Qualifications • Bachelor's degree in Civil Engineering required; Master's degree in Structural Engineering required • Professional Engineer (PE) license required; New Jersey, New York and/or Pennsylvania PE preferred or ability to obtain through reciprocity • 15+ years of progressive bridge design and structural engineering experience • Extensive experience delivering complex bridge and transportation infrastructure projects/Historical Bridge Design Rehabilitation experience is a plus • Advanced knowledge of AASHTO LRFD Bridge Design Specifications and NJDOT bridge design procedure • Strong technical expertise in bridge analysis, rehabilitation, replacement, and structural evaluation • Proficiency with bridge design and analysis software such as LEAP Bridge, LARSA, MIDAS, CSiBridge, STAAD, or equivalent programs • Experience with AutoCAD and/or MicroStation required • Demonstrated ability to provide technical leadership, mentor engineers, and elevate team performance • Strong communication, organization, and problem-solving skills with the ability to collaborate across disciplines • Established relationships with transportation agencies, municipalities, and public-sector clients preferred • Experience supporting business development, proposal preparation, and client engagement activities preferred Additional Information • Sponsorship for U.S. employment authorization is not available for this position. • Relocation assistance is available for this position. Don't meet every qualification? At FPA, we recognize that great candidates bring diverse experiences and perspectives. If you are excited about this opportunity but do not meet every listed requirement, we encourage you to apply. Your experience may be exactly what we need for this role or another opportunity within our growing team. The FPA Difference Large firms offer scale. FPA offers opportunity. For more than 50 years, French & Parrello Associates (FPA) has been delivering innovative engineering solutions that shape communities, improve infrastructure, and support regional growth. As an employee-owned, mid-sized engineering and consulting firm, FPA combines the technical capabilities and expertise of a larger organization with the collaboration, accessibility, and personal investment of a close-knit team. At FPA, senior technical leaders have the opportunity to make a meaningful impact beyond individual projects. You will help shape engineering standards, mentor the next generation of professionals, collaborate with industry leaders, and influence the continued growth and success of our Bridge Department. Our multidisciplinary approach allows technical leaders to see the full picture, from concept development and design through construction completion, while collaborating with experts across transportation, structural, environmental, water resources, and other engineering disciplines. We invest in our people through mentorship, professional development, and opportunities for leadership because we believe the success of our employees drives the continued success of our firm. At FPA, you are not just providing engineering expertise, you are helping build a growing organization and shaping the infrastructure that supports communities for generations. Benefits Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement plans. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. Compensation The projected compensation range for this position is $150,000 to $200,000. Actual compensation will depend on factors including experience, education, qualifications, and skill set. FPA recognizes and rewards performance through an annual bonus program and offers a signing bonus for this particular position for qualified candidates.
Genesis10 is currently seeking a Senior AI Agentic Senior Technical Engineer for a 3+ month contract to hire opportunity with a Regional Financial Institution located in Columbus, OH; Akron, OH; Cleveland, OH; Cincinnati, OH; Minneapolis, MN; Dallas, TX; Detroit, MI; Ch Compensation: $107.00 - $117.00 per hour, W2, based on qualifications Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience designing and developing AI solutions. Initially, the role focuses on building AI capabilities for the Commercial Services Loan Operations team, with the expectation that these solutions will eventually scale across the enterprise. This is a hands-on development role that involves close collaboration with cross-functional teams and ownership of projects to ensure continuity and successful delivery. Key Responsibilities: Design and implement production agent workflows using reference patterns: single-agent, supervised multi-agent, and tool-using agents Build tool integrations to enterprise services and banking systems (APIs, data products, document services) with strong error handling and audit logging Engineer RAG pipelines and retrieval behavior (chunking, embedding selection, re-ranking, context assembly) Implement agent memory and state management patterns that are compliant and operationally safe Create and maintain evaluation harnesses and regression suites for non-deterministic outputs Implement required guardrails (prompt injection defenses, tool restrictions, output filtering) and pass pre-deployment security gates Instrument agents for observability: decision traces, tool-call telemetry, retrieval diagnostics, token/cost metrics, and quality signals Ship via CI/CD with production readiness: feature flags, rollbacks, versioning, and runbooks Lead design and code reviews for agent components and mentor other engineers Debug complex failure modes and implement mitigations Primary Requirements: 7+ years in software engineering with 2+ years building LLM-enabled applications or agent systems in production Hands-on experience with at least one frontier model platform (Claude, GPT-4+, Gemini) including tool use and multi-turn workflow design Experience developing and integrating APIs Experience with end-to-end testing of agentic AI solutions Cloud engineering experience, including hands-on experience with Cloud Run Production delivery experience: CI/CD, containerization (Docker), and operational readiness (monitoring, logging, incident response) Java development experience Kubernetes experience Experience implementing and validating RAG systems (vector search, embeddings, retrieval quality) Ability to design for reliability and safety: failure mode thinking, graceful degradation, and clear human escalation paths Desired Skills: Azure or AWS experience Experience with Pub/Sub and event-driven architectures Experience in regulated financial services (SOX, GLBA, data classification, audit expectations) Experience with evaluation frameworks and model monitoring practices Experience building multi-agent orchestration and constraint systems Familiarity with secure software development (threat modeling, SAST/DAST, secrets management) Strong communication and collaboration skills Experience leading technical initiatives or engineering teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/14/2026
Full time
Genesis10 is currently seeking a Senior AI Agentic Senior Technical Engineer for a 3+ month contract to hire opportunity with a Regional Financial Institution located in Columbus, OH; Akron, OH; Cleveland, OH; Cincinnati, OH; Minneapolis, MN; Dallas, TX; Detroit, MI; Ch Compensation: $107.00 - $117.00 per hour, W2, based on qualifications Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience designing and developing AI solutions. Initially, the role focuses on building AI capabilities for the Commercial Services Loan Operations team, with the expectation that these solutions will eventually scale across the enterprise. This is a hands-on development role that involves close collaboration with cross-functional teams and ownership of projects to ensure continuity and successful delivery. Key Responsibilities: Design and implement production agent workflows using reference patterns: single-agent, supervised multi-agent, and tool-using agents Build tool integrations to enterprise services and banking systems (APIs, data products, document services) with strong error handling and audit logging Engineer RAG pipelines and retrieval behavior (chunking, embedding selection, re-ranking, context assembly) Implement agent memory and state management patterns that are compliant and operationally safe Create and maintain evaluation harnesses and regression suites for non-deterministic outputs Implement required guardrails (prompt injection defenses, tool restrictions, output filtering) and pass pre-deployment security gates Instrument agents for observability: decision traces, tool-call telemetry, retrieval diagnostics, token/cost metrics, and quality signals Ship via CI/CD with production readiness: feature flags, rollbacks, versioning, and runbooks Lead design and code reviews for agent components and mentor other engineers Debug complex failure modes and implement mitigations Primary Requirements: 7+ years in software engineering with 2+ years building LLM-enabled applications or agent systems in production Hands-on experience with at least one frontier model platform (Claude, GPT-4+, Gemini) including tool use and multi-turn workflow design Experience developing and integrating APIs Experience with end-to-end testing of agentic AI solutions Cloud engineering experience, including hands-on experience with Cloud Run Production delivery experience: CI/CD, containerization (Docker), and operational readiness (monitoring, logging, incident response) Java development experience Kubernetes experience Experience implementing and validating RAG systems (vector search, embeddings, retrieval quality) Ability to design for reliability and safety: failure mode thinking, graceful degradation, and clear human escalation paths Desired Skills: Azure or AWS experience Experience with Pub/Sub and event-driven architectures Experience in regulated financial services (SOX, GLBA, data classification, audit expectations) Experience with evaluation frameworks and model monitoring practices Experience building multi-agent orchestration and constraint systems Familiarity with secure software development (threat modeling, SAST/DAST, secrets management) Strong communication and collaboration skills Experience leading technical initiatives or engineering teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Pay Range: $40.00hr - $45.00hr Job Overview: The QA team is seeking a detail-oriented Software Tester. In this role, the candidate will be responsible for designing, executing, and maintaining manual and automated test cases to ensure the quality and reliability of software products. The candidate will identify, document, and track defects, collaborate closely with developers and stakeholders to resolve issues, and contribute to improving testing processes and standards. Experience with manual and/or automated testing, strong analytical skills, and the ability to communicate findings clearly are essential for success in this position. Responsibilities: Design and execute test cases based on functional and technical requirements. Identify, document, and track software defects through resolution. Collaborate with developers, QA leads, and stakeholders to ensure quality standards are met. Maintain and update test documentation and coverage reports. Support regression testing efforts and contribute to automation initiatives. Qualifications: Experience in manual and/or automated software testing. Familiarity with test case management tools (e.g., Xray, Jira). Strong attention to detail and analytical problem-solving skills. Strong verbal and written communication skills. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $40.00hr - $45.00hr Job Overview: The QA team is seeking a detail-oriented Software Tester. In this role, the candidate will be responsible for designing, executing, and maintaining manual and automated test cases to ensure the quality and reliability of software products. The candidate will identify, document, and track defects, collaborate closely with developers and stakeholders to resolve issues, and contribute to improving testing processes and standards. Experience with manual and/or automated testing, strong analytical skills, and the ability to communicate findings clearly are essential for success in this position. Responsibilities: Design and execute test cases based on functional and technical requirements. Identify, document, and track software defects through resolution. Collaborate with developers, QA leads, and stakeholders to ensure quality standards are met. Maintain and update test documentation and coverage reports. Support regression testing efforts and contribute to automation initiatives. Qualifications: Experience in manual and/or automated software testing. Familiarity with test case management tools (e.g., Xray, Jira). Strong attention to detail and analytical problem-solving skills. Strong verbal and written communication skills. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Description Job Title: Senior Embedded Software Engineer Experience : 12 to 15 years Job Summary: We are seeking an experienced Senior Embedded Software Engineer to design, develop, test, and maintain embedded software and firmware for hardware-based systems. The ideal candidate will have strong experience in C/C++, embedded Linux, RTOS, microcontrollers, device drivers, and hardware-software integration. The candidate will work closely with hardware engineers, system architects, and cross-functional teams to deliver reliable, high-performance embedded solutions. Roles and Responsibilities: Design, develop, and maintain embedded software and firmware for electronic devices and systems. Develop software using C, C++, and assembly language. Work with microcontrollers, microprocessors, and embedded platforms. Develop and debug device drivers, BSPs, and low-level software components. Implement real-time operating systems (RTOS) and embedded Linux applications. Integrate software with hardware components and peripheral interfaces. Perform debugging, troubleshooting, and root cause analysis. Develop communication protocols such as UART, SPI, I2C, CAN, USB, and Ethernet. Optimize software performance, memory usage, and system reliability. Conduct unit testing, integration testing, and system-level validation. Collaborate with hardware, firmware, QA, and system engineering teams. Review code and ensure compliance with software development standards. Prepare technical documentation, design specifications, and test reports. Required Technical Skills: Strong programming experience in C and C++. Experience with embedded systems and firmware development. Knowledge of Embedded Linux and RTOS. Experience with microcontrollers such as ARM, STM32, PIC, or AVR. Knowledge of device drivers and Board Support Packages (BSP). Experience with debugging tools such as JTAG, GDB, and oscilloscopes. Understanding of communication protocols including UART, SPI, I2C, CAN, and Ethernet. Experience with Git, SVN, and software configuration management. Knowledge of hardware-software integration and testing. Familiarity with software development lifecycle (SDLC). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics Engineering, or a related field. 12+ years of experience in embedded software or firmware development. Experience in automotive, industrial automation, medical devices, robotics, or IoT. Knowledge of AUTOSAR, bootloaders, and real-time system design. Experience with Agile/Scrum development methodologies. Strong analytical, communication, and problem-solving skills. Key Responsibilities Lead embedded software development activities. Develop scalable and reliable firmware solutions. Improve system performance and software quality. Support product development from design through production. Mentor junior engineers and provide technical guidance. Ensure software meets functional, performance, and safety requirements.
11/14/2026
Full time
Job Description Job Title: Senior Embedded Software Engineer Experience : 12 to 15 years Job Summary: We are seeking an experienced Senior Embedded Software Engineer to design, develop, test, and maintain embedded software and firmware for hardware-based systems. The ideal candidate will have strong experience in C/C++, embedded Linux, RTOS, microcontrollers, device drivers, and hardware-software integration. The candidate will work closely with hardware engineers, system architects, and cross-functional teams to deliver reliable, high-performance embedded solutions. Roles and Responsibilities: Design, develop, and maintain embedded software and firmware for electronic devices and systems. Develop software using C, C++, and assembly language. Work with microcontrollers, microprocessors, and embedded platforms. Develop and debug device drivers, BSPs, and low-level software components. Implement real-time operating systems (RTOS) and embedded Linux applications. Integrate software with hardware components and peripheral interfaces. Perform debugging, troubleshooting, and root cause analysis. Develop communication protocols such as UART, SPI, I2C, CAN, USB, and Ethernet. Optimize software performance, memory usage, and system reliability. Conduct unit testing, integration testing, and system-level validation. Collaborate with hardware, firmware, QA, and system engineering teams. Review code and ensure compliance with software development standards. Prepare technical documentation, design specifications, and test reports. Required Technical Skills: Strong programming experience in C and C++. Experience with embedded systems and firmware development. Knowledge of Embedded Linux and RTOS. Experience with microcontrollers such as ARM, STM32, PIC, or AVR. Knowledge of device drivers and Board Support Packages (BSP). Experience with debugging tools such as JTAG, GDB, and oscilloscopes. Understanding of communication protocols including UART, SPI, I2C, CAN, and Ethernet. Experience with Git, SVN, and software configuration management. Knowledge of hardware-software integration and testing. Familiarity with software development lifecycle (SDLC). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics Engineering, or a related field. 12+ years of experience in embedded software or firmware development. Experience in automotive, industrial automation, medical devices, robotics, or IoT. Knowledge of AUTOSAR, bootloaders, and real-time system design. Experience with Agile/Scrum development methodologies. Strong analytical, communication, and problem-solving skills. Key Responsibilities Lead embedded software development activities. Develop scalable and reliable firmware solutions. Improve system performance and software quality. Support product development from design through production. Mentor junior engineers and provide technical guidance. Ensure software meets functional, performance, and safety requirements.
Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details
11/14/2026
Full time
Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details
Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
11/14/2026
Full time
Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: New York, NY or Jersey City, NJ Duration: Contract - 12 months Pay Range: NY, NY - BR $ 101.66 (Pay Rate: $71.59) Jersey City: NJ - BR $96.92 (Pay Rate: $68.25) Job ID: 412172 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to lead the end-to-end design and implementation of a new GenAI platform and its business use cases. The ideal candidate will have strong experience in Python, LLMs, and modern application architectures and a proven ability to deliver scalable, resilient platforms that meet performance and regulatory requirements. A start date within 2-4 weeks of offer will be required due to business needs. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and business use cases. Develop architectural approaches for AI software and hardware integration with focus on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill objectives. Lead cross-disciplinary teams to deliver solutions aligned with priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation for end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform needs. Conduct research and prototyping to evaluate and identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to inform continuous improvement. Required Skills & Qualifications: 7+ years of hands-on Python development, including Unix scripting. Experience with Large Language Models (1+ year) and Retrieval Augmented Generation (RAG). Extensive experience designing and implementing multi-tier and microservices-based application platforms. Proficiency with FastAPI for building services and APIs. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks, including HTML, CSS, JavaScript, XML, React, and jQuery. Proven ability to plan and lead delivery for diverse, geographically dispersed teams with on-time, on-budget outcomes. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet the outlined start date. Hours per day: 8. Labor type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Please list your location at the top of your resume for consideration.
11/14/2026
Full time
Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: New York, NY or Jersey City, NJ Duration: Contract - 12 months Pay Range: NY, NY - BR $ 101.66 (Pay Rate: $71.59) Jersey City: NJ - BR $96.92 (Pay Rate: $68.25) Job ID: 412172 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to lead the end-to-end design and implementation of a new GenAI platform and its business use cases. The ideal candidate will have strong experience in Python, LLMs, and modern application architectures and a proven ability to deliver scalable, resilient platforms that meet performance and regulatory requirements. A start date within 2-4 weeks of offer will be required due to business needs. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and business use cases. Develop architectural approaches for AI software and hardware integration with focus on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill objectives. Lead cross-disciplinary teams to deliver solutions aligned with priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation for end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform needs. Conduct research and prototyping to evaluate and identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to inform continuous improvement. Required Skills & Qualifications: 7+ years of hands-on Python development, including Unix scripting. Experience with Large Language Models (1+ year) and Retrieval Augmented Generation (RAG). Extensive experience designing and implementing multi-tier and microservices-based application platforms. Proficiency with FastAPI for building services and APIs. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks, including HTML, CSS, JavaScript, XML, React, and jQuery. Proven ability to plan and lead delivery for diverse, geographically dispersed teams with on-time, on-budget outcomes. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet the outlined start date. Hours per day: 8. Labor type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Please list your location at the top of your resume for consideration.
