Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
10/31/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Urban Sky seeks a Senior Embedded Imaging Software Engineer to design, develop, and optimize embedded imaging and control software for our stratospheric Microballoon remote sensing platform. You will architect real-time image capture, compression, and processing pipelines, integrate sensors and payload avionics, and ensure robust performance in constrained, high-altitude environments. Working closely with aerospace, hardware, and data teams, you'll own key features from prototype to flight, improve reliability and image quality, implement test and validation frameworks, and help scale our Earth observation capabilities for environmental and infrastructure monitoring. Responsibilities Design and implement embedded imaging and control software for high-altitude Microballoon payloads. Develop real-time image capture, compression, and processing pipelines for remote sensing missions. Integrate cameras, sensors, and avionics, collaborating closely with hardware and aerospace teams. Optimize performance, reliability, and power usage on constrained embedded platforms. Implement test, simulation, and validation frameworks for flight-ready software. Troubleshoot and debug hardware-software issues during lab, field, and flight tests. Contribute to software architecture, coding standards, and documentation in a startup environment. Required Skills Embedded C/C++Real-time operating systems (RTOS) Imaging and computer vision fundamentals Image compression and codecs Sensor and camera interface protocols (MIPI, LVDS, SPI, I2 C) Python or similar for tooling and scripting Embedded Linux Performance optimization and profiling Hardware-software integration and debugging Version control (Git), CI/CD, and automated testing
10/31/2026
Full time
Urban Sky seeks a Senior Embedded Imaging Software Engineer to design, develop, and optimize embedded imaging and control software for our stratospheric Microballoon remote sensing platform. You will architect real-time image capture, compression, and processing pipelines, integrate sensors and payload avionics, and ensure robust performance in constrained, high-altitude environments. Working closely with aerospace, hardware, and data teams, you'll own key features from prototype to flight, improve reliability and image quality, implement test and validation frameworks, and help scale our Earth observation capabilities for environmental and infrastructure monitoring. Responsibilities Design and implement embedded imaging and control software for high-altitude Microballoon payloads. Develop real-time image capture, compression, and processing pipelines for remote sensing missions. Integrate cameras, sensors, and avionics, collaborating closely with hardware and aerospace teams. Optimize performance, reliability, and power usage on constrained embedded platforms. Implement test, simulation, and validation frameworks for flight-ready software. Troubleshoot and debug hardware-software issues during lab, field, and flight tests. Contribute to software architecture, coding standards, and documentation in a startup environment. Required Skills Embedded C/C++Real-time operating systems (RTOS) Imaging and computer vision fundamentals Image compression and codecs Sensor and camera interface protocols (MIPI, LVDS, SPI, I2 C) Python or similar for tooling and scripting Embedded Linux Performance optimization and profiling Hardware-software integration and debugging Version control (Git), CI/CD, and automated testing
Job Description Job Description iOS Vulnerability Research Engineer, Senior Location: Melbourne, FL Security Clearance: Ability to obtain a Top-Secret clearance with SCI eligibility Employment Type: Full-Time About REDLattice At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative work that directly contributes to protecting our nation's and strategic partners' most vital infrastructure. Our teams develop advanced cyber capabilities, forensic solutions, and technical analysis tools that support law enforcement, defense, and national security operations. With offices in Northern Virginia, Melbourne, Florida, Tel Aviv, Israel, and other strategic locations, REDLattice is growing rapidly to meet the evolving needs of our customers. Position Summary REDLattice is seeking a Senior Vulnerability Research Engineer to join our team in Melbourne, FL to perform vulnerability research against embedded and network devices in support of our customer's offensive cyber mission. This includes performing initial device analysis and research to enable mission requirements. A qualified candidate will be responsible for interpreting customer requirements, performing device research, generating exploit proof-of-concepts, and creating research reports and deliveries. Responsibilities Conduct vulnerability research (VR) against Apple platforms using both static and dynamic analysis techniques. Develop and implement VR tools and techniques using C/C++ and Python. Support offensive cyber programs by identifying and exploiting vulnerabilities. Apply and develop new cyber techniques to enhance offensive capabilities. Collaborate with cross-functional teams to design and develop innovative cyber solutions. Maintain and upgrade existing tools to ensure continued effectiveness against the everchanging Apple ecosystem. Provide technical expertise and guidance to team members and customers. Required Experience 5+ years of professional experience with VR or reverse engineering, including analyzing software, firmware, or devices to understand system behavior. Extensive experience with reverse engineering with modern tools (Ghidra, Binary Ninja, IDA Pro). Advanced proficiency in Objective-C, Swift, C, C++, and Python. Understanding of modern mitigations including Memory Tagging Extension (MTE), Pointer Authentication (PAC), code signing and sandboxing. Experience with vulnerability research specific to the Apple iOS mobile platform. Ability to obtain a Top-Secret clearance with SCI eligibility. Desired Experience Familiarity with low-level iOS concepts such as the Objective-C runtime, XPC, Mach, Entitlements, and the Dyld Shared Cache. Proficiency with dynamic analysis tools such as Frida, lldb, and Wireshark. Understanding of network programming and protocol analysis. Comfortable with UNIX internals and system-level engineering. Experience using AI tools to support reverse engineering research and identify software vulnerabilities. Demonstrate mastery with Git and modern software engineering practices. A passion for learning about cutting-edge offensive cyber techniques and tools. Why Join REDLattice? Work on mission-driven technology supporting critical law enforcement and national security missions. Join small, highly collaborative engineering teams where your contributions have a direct impact. Solve complex engineering challenges across advanced cyber platforms and technologies. Collaborate with experienced cyber engineers developing next-generation mission capabilities. Gain exposure to cutting-edge cyber research, capability development, and emerging technologies. Competitive compensation, comprehensive benefits, and opportunities for professional growth. Equal Employment Opportunity Statement REDLattice is an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of race, color, religion, sex, age, national origin, veteran status, disability, veteran status, or any other protected status. Join us at REDLattice and help shape the future of cyber innovation and national security. Apply today!
10/31/2026
Full time
Job Description Job Description iOS Vulnerability Research Engineer, Senior Location: Melbourne, FL Security Clearance: Ability to obtain a Top-Secret clearance with SCI eligibility Employment Type: Full-Time About REDLattice At REDLattice, we are a global leader in delivering cutting-edge technical cybersecurity products and services. We are driven by mission-critical and innovative work that directly contributes to protecting our nation's and strategic partners' most vital infrastructure. Our teams develop advanced cyber capabilities, forensic solutions, and technical analysis tools that support law enforcement, defense, and national security operations. With offices in Northern Virginia, Melbourne, Florida, Tel Aviv, Israel, and other strategic locations, REDLattice is growing rapidly to meet the evolving needs of our customers. Position Summary REDLattice is seeking a Senior Vulnerability Research Engineer to join our team in Melbourne, FL to perform vulnerability research against embedded and network devices in support of our customer's offensive cyber mission. This includes performing initial device analysis and research to enable mission requirements. A qualified candidate will be responsible for interpreting customer requirements, performing device research, generating exploit proof-of-concepts, and creating research reports and deliveries. Responsibilities Conduct vulnerability research (VR) against Apple platforms using both static and dynamic analysis techniques. Develop and implement VR tools and techniques using C/C++ and Python. Support offensive cyber programs by identifying and exploiting vulnerabilities. Apply and develop new cyber techniques to enhance offensive capabilities. Collaborate with cross-functional teams to design and develop innovative cyber solutions. Maintain and upgrade existing tools to ensure continued effectiveness against the everchanging Apple ecosystem. Provide technical expertise and guidance to team members and customers. Required Experience 5+ years of professional experience with VR or reverse engineering, including analyzing software, firmware, or devices to understand system behavior. Extensive experience with reverse engineering with modern tools (Ghidra, Binary Ninja, IDA Pro). Advanced proficiency in Objective-C, Swift, C, C++, and Python. Understanding of modern mitigations including Memory Tagging Extension (MTE), Pointer Authentication (PAC), code signing and sandboxing. Experience with vulnerability research specific to the Apple iOS mobile platform. Ability to obtain a Top-Secret clearance with SCI eligibility. Desired Experience Familiarity with low-level iOS concepts such as the Objective-C runtime, XPC, Mach, Entitlements, and the Dyld Shared Cache. Proficiency with dynamic analysis tools such as Frida, lldb, and Wireshark. Understanding of network programming and protocol analysis. Comfortable with UNIX internals and system-level engineering. Experience using AI tools to support reverse engineering research and identify software vulnerabilities. Demonstrate mastery with Git and modern software engineering practices. A passion for learning about cutting-edge offensive cyber techniques and tools. Why Join REDLattice? Work on mission-driven technology supporting critical law enforcement and national security missions. Join small, highly collaborative engineering teams where your contributions have a direct impact. Solve complex engineering challenges across advanced cyber platforms and technologies. Collaborate with experienced cyber engineers developing next-generation mission capabilities. Gain exposure to cutting-edge cyber research, capability development, and emerging technologies. Competitive compensation, comprehensive benefits, and opportunities for professional growth. Equal Employment Opportunity Statement REDLattice is an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of race, color, religion, sex, age, national origin, veteran status, disability, veteran status, or any other protected status. Join us at REDLattice and help shape the future of cyber innovation and national security. Apply today!
Job Description Job Description Job Title: Senior Full Stack iOS Engineer (AWS / Mobile-First) Location: Washington, DC (On-site) Employment Type: Contract (W2 through ZipStaff - No C2C or 1099) About the Opportunity: ZipStaff is seeking a Senior Full Stack iOS Engineer to design, build, and maintain mission-critical, native frontline mobile applications and the supporting AWS cloud services for a leading transportation organization. In this role, you will lead the architecture of high-availability, offline-first passenger and employee operations, enabling reliable ticket scanning, real-time manifest tracking, peer-to-peer data synchronization, and secure backend integrations used daily by onboard conductors and station personnel. Working within an established Scaled Agile Framework (SAFe) environment, you will drive self-organized iteration planning, collaborate on resilient cloud/mobile contracts, and directly deliver seamless digital workflows where zero-downtime and data integrity are non-negotiable. This is an on-site role in Washington, DC. What You'll Do: Architect, develop, and maintain high-performance native iOS applications utilizing Swift, applicable Objective-C, and modern concurrency models. Build robust, offline-first data architectures featuring local transactional queues, conflict resolution, reconnection/replay logic, and peer-to-peer sync mechanisms (e.g., Ditto, Infinite PeerConnect). Deliver end-to-end frontline workflows, including barcode/ticket scanning, passenger manifest management, check-in/lift states, and peripheral device integrations via Bluetooth. Design and integrate mobile clients with Backend-for-Frontend (BFF) REST APIs on AWS, leveraging OAuth/OIDC authentication, secure device storage, and request correlation. Implement reusable, configuration-driven UI components, feature flags, dynamic forms, and role-based workflows across supported iPhone and iPad devices. Instrument applications with Dynatrace mobile RUM, crash symbolization, privacy safeguards, and real-time performance telemetry. Partner with backend and platform teams on contract testing, API idempotency, and unified mobile-to-cloud data schemas. Champion Agile self-management within a SAFe structure-actively participating in capacity planning, iteration commitments, and onsite Program Increment (PI) planning events in Washington, DC. Required Qualifications: Proven track record building enterprise native iOS applications in production using Swift and Objective-C. Hands-on experience architecting offline-first mobile systems, Core Data persistence, local queueing, and peer-to-peer or edge synchronization frameworks. Practical backend experience designing or integrating AWS services, including API Gateway, Lambda, ECS Fargate, and Cognito/Entra ID (or Spring Boot microservices). Direct experience integrating external hardware peripherals (barcode scanners, sleds, or Bluetooth/BLE devices). Demonstrated knowledge of mobile performance optimization, thread safety, crash resilience, VoiceOver accessibility, and mobile monitoring tools like Dynatrace RUM. Familiarity with high-availability operational environments such as transportation, ticketing, reservations, or point-of-sale systems. Working knowledge of or formal training in SAFe (Scaled Agile Framework), with the ability to lead sprint commitments and capacity planning autonomously. Must be based within commuting distance of Washington, DC, available to attend key milestone ceremonies (such as PI Planning) onsite, and comfortable maintaining a camera-on collaborative presence during hybrid team sessions. Ability to work on-site in Washington, DC. Preferred Qualifications: Prior experience delivering offline-first mobile solutions for transportation, rail, or frontline operational environments. Hands-on experience with peer-to-peer synchronization frameworks and conflict resolution in production mobile apps. Strong background integrating mobile clients with AWS-based Backend-for-Frontend architectures. Experience instrumenting mobile applications with Dynatrace or similar real-user monitoring tools. Benefits: Health Insurance. Dental Insurance. Vision Insurance. 401(k) + 401(k) matching. Paid time off. Referral Program. About ZipStaff: ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches, clear communication, and long-term success for candidates and clients. To apply, submit your resume highlighting your production native iOS (Swift/Objective-C) experience, offline-first architectures with peer-to-peer sync, AWS backend integration, and work in high-availability operational environments. Pure research or junior experience will not be considered.
10/31/2026
Full time
Job Description Job Description Job Title: Senior Full Stack iOS Engineer (AWS / Mobile-First) Location: Washington, DC (On-site) Employment Type: Contract (W2 through ZipStaff - No C2C or 1099) About the Opportunity: ZipStaff is seeking a Senior Full Stack iOS Engineer to design, build, and maintain mission-critical, native frontline mobile applications and the supporting AWS cloud services for a leading transportation organization. In this role, you will lead the architecture of high-availability, offline-first passenger and employee operations, enabling reliable ticket scanning, real-time manifest tracking, peer-to-peer data synchronization, and secure backend integrations used daily by onboard conductors and station personnel. Working within an established Scaled Agile Framework (SAFe) environment, you will drive self-organized iteration planning, collaborate on resilient cloud/mobile contracts, and directly deliver seamless digital workflows where zero-downtime and data integrity are non-negotiable. This is an on-site role in Washington, DC. What You'll Do: Architect, develop, and maintain high-performance native iOS applications utilizing Swift, applicable Objective-C, and modern concurrency models. Build robust, offline-first data architectures featuring local transactional queues, conflict resolution, reconnection/replay logic, and peer-to-peer sync mechanisms (e.g., Ditto, Infinite PeerConnect). Deliver end-to-end frontline workflows, including barcode/ticket scanning, passenger manifest management, check-in/lift states, and peripheral device integrations via Bluetooth. Design and integrate mobile clients with Backend-for-Frontend (BFF) REST APIs on AWS, leveraging OAuth/OIDC authentication, secure device storage, and request correlation. Implement reusable, configuration-driven UI components, feature flags, dynamic forms, and role-based workflows across supported iPhone and iPad devices. Instrument applications with Dynatrace mobile RUM, crash symbolization, privacy safeguards, and real-time performance telemetry. Partner with backend and platform teams on contract testing, API idempotency, and unified mobile-to-cloud data schemas. Champion Agile self-management within a SAFe structure-actively participating in capacity planning, iteration commitments, and onsite Program Increment (PI) planning events in Washington, DC. Required Qualifications: Proven track record building enterprise native iOS applications in production using Swift and Objective-C. Hands-on experience architecting offline-first mobile systems, Core Data persistence, local queueing, and peer-to-peer or edge synchronization frameworks. Practical backend experience designing or integrating AWS services, including API Gateway, Lambda, ECS Fargate, and Cognito/Entra ID (or Spring Boot microservices). Direct experience integrating external hardware peripherals (barcode scanners, sleds, or Bluetooth/BLE devices). Demonstrated knowledge of mobile performance optimization, thread safety, crash resilience, VoiceOver accessibility, and mobile monitoring tools like Dynatrace RUM. Familiarity with high-availability operational environments such as transportation, ticketing, reservations, or point-of-sale systems. Working knowledge of or formal training in SAFe (Scaled Agile Framework), with the ability to lead sprint commitments and capacity planning autonomously. Must be based within commuting distance of Washington, DC, available to attend key milestone ceremonies (such as PI Planning) onsite, and comfortable maintaining a camera-on collaborative presence during hybrid team sessions. Ability to work on-site in Washington, DC. Preferred Qualifications: Prior experience delivering offline-first mobile solutions for transportation, rail, or frontline operational environments. Hands-on experience with peer-to-peer synchronization frameworks and conflict resolution in production mobile apps. Strong background integrating mobile clients with AWS-based Backend-for-Frontend architectures. Experience instrumenting mobile applications with Dynatrace or similar real-user monitoring tools. Benefits: Health Insurance. Dental Insurance. Vision Insurance. 401(k) + 401(k) matching. Paid time off. Referral Program. About ZipStaff: ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches, clear communication, and long-term success for candidates and clients. To apply, submit your resume highlighting your production native iOS (Swift/Objective-C) experience, offline-first architectures with peer-to-peer sync, AWS backend integration, and work in high-availability operational environments. Pure research or junior experience will not be considered.
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
10/31/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description CLIENT HIGHLIGHT The client you will be working for is a Fortune 500 Energy and Industrial Technology Company. This opportunity will give you experience in the energy transition sector with a company that is a globally recognized leader in power generation, wind energy, electrification, and grid solutions - and one of the most storied industrial brands in the world. LOCATION Greenville, South Carolina, 29615 COMPENSATION $52.00-$58.00 per hour SCHEDULE Monday-Friday, 40 hours Onsite CONTRACT TERM 1 year contract with a high likelihood of extension or conversion to full time POSITION OVERVIEW - Application Engineer II - HPC Storage & Data Management Engineer You'll look after the storage behind a large cloud-based high-performance computing platform that supports about 1,500 engineers worldwide running simulations. You'll manage how data is stored and where it lives, from fast working space to long-term archive, set and enforce storage limits and file permissions, and keep an eye on usage and cost in AWS. You'll also set the rules for how data moves from active use to archive and help get simulation data organized so it's ready for AI and machine learning. You'll work closely with the Digital Technology (DT) team. RESPONSIBILITIES • Manage and optimize the full HPC storage topology, including home directories, high-performance local scratch/compute, project storage, and archive tiers, and ensure data is placed to match workload performance requirements • Administer and enforce per-user and per-project storage quotas; monitor utilization trends across the user base and provide capacity forecasting inputs to the HPC Principal Engineer and the Digital Technology (DT) team • Manage file permissions and access control lists (ACLs) across multi-protocol (NFS/SMB) environments, ensuring consistent access governance for both Linux HPC and Windows VDI users • Contribute to storage cost benchmarking and reporting, providing data-driven insight into storage spend within the AWS environment • Define and enforce data lifecycle policies governing the progression of data through active, scratch, cold, and archive states; implement and maintain automated tiering and expiration workflows • Lead the definition and implementation of an engineering simulation data archival standard, aligned with the broader engineering simulation data retention strategy • Partner with the DT team to define and maintain collaborative team and project folder structures, and establish and communicate standard work for shared HPC storage use • Support the organization's initiative to define engineering simulation data standards so data is structured and accessible for AI/ML workloads REQUIRED QUALIFICATIONS/SKILLS • Since this role involves access to U.S. export-controlled information, candidates must be able to obtain authorization for that access from the U.S. Government. Final offers are contingent on receiving this authorization.
10/31/2026
Full time
Job Description Job Description CLIENT HIGHLIGHT The client you will be working for is a Fortune 500 Energy and Industrial Technology Company. This opportunity will give you experience in the energy transition sector with a company that is a globally recognized leader in power generation, wind energy, electrification, and grid solutions - and one of the most storied industrial brands in the world. LOCATION Greenville, South Carolina, 29615 COMPENSATION $52.00-$58.00 per hour SCHEDULE Monday-Friday, 40 hours Onsite CONTRACT TERM 1 year contract with a high likelihood of extension or conversion to full time POSITION OVERVIEW - Application Engineer II - HPC Storage & Data Management Engineer You'll look after the storage behind a large cloud-based high-performance computing platform that supports about 1,500 engineers worldwide running simulations. You'll manage how data is stored and where it lives, from fast working space to long-term archive, set and enforce storage limits and file permissions, and keep an eye on usage and cost in AWS. You'll also set the rules for how data moves from active use to archive and help get simulation data organized so it's ready for AI and machine learning. You'll work closely with the Digital Technology (DT) team. RESPONSIBILITIES • Manage and optimize the full HPC storage topology, including home directories, high-performance local scratch/compute, project storage, and archive tiers, and ensure data is placed to match workload performance requirements • Administer and enforce per-user and per-project storage quotas; monitor utilization trends across the user base and provide capacity forecasting inputs to the HPC Principal Engineer and the Digital Technology (DT) team • Manage file permissions and access control lists (ACLs) across multi-protocol (NFS/SMB) environments, ensuring consistent access governance for both Linux HPC and Windows VDI users • Contribute to storage cost benchmarking and reporting, providing data-driven insight into storage spend within the AWS environment • Define and enforce data lifecycle policies governing the progression of data through active, scratch, cold, and archive states; implement and maintain automated tiering and expiration workflows • Lead the definition and implementation of an engineering simulation data archival standard, aligned with the broader engineering simulation data retention strategy • Partner with the DT team to define and maintain collaborative team and project folder structures, and establish and communicate standard work for shared HPC storage use • Support the organization's initiative to define engineering simulation data standards so data is structured and accessible for AI/ML workloads REQUIRED QUALIFICATIONS/SKILLS • Since this role involves access to U.S. export-controlled information, candidates must be able to obtain authorization for that access from the U.S. Government. Final offers are contingent on receiving this authorization.
Job Description Job Description Job Title: AWS Application Production Support Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Type: Direct Hire Responsibilities Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
10/31/2026
Full time
Job Description Job Description Job Title: AWS Application Production Support Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Type: Direct Hire Responsibilities Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Resource Management Concepts, Inc.
Adams Run, South Carolina
Job Description Job Description Resource Management Concepts, Inc. (RMC) provides high-quality, professional services to government and commercial sectors. Our mission is to deliver exceptional management and technology solutions supporting the protection and preservation of the people and environment of the United States of America. RMC is seeking a Senior DevOps Engineer to build, automate, and maintain the cloud infrastructure and secure deployment environments supporting mission applications and core services. This role combines infrastructure as code, Kubernetes deployment, and automated security testing within Amazon Web Services (AWS) environments. The engineer will work closely with software developers to establish consistent environments and move services into reliable, scalable deployments. Candidates should understand how cloud infrastructure, container orchestration, networking, and security controls work together. We are looking for hands-on experience designing and operating these environments, with an emphasis on automation, troubleshooting, and improving software delivery. This position is contingent on contract award and position availability. It is a full-time, on-site role at a Government facility in Charleston, SC. What You'll Do: Build, automate, and maintain AWS infrastructure supporting development, integration, testing, and operational deployments. Develop infrastructure as code and Ansible automation to create repeatable deployments, maintain consistent configurations, and reduce configuration drift. Deploy and operate containerized applications using Kubernetes and Red Hat OpenShift, addressing scalability, availability, networking, resource management, and persistent storage. Build and maintain continuous integration and continuous delivery (CI/CD) pipelines that automate software builds, testing, security checks, and deployments. Configure and maintain the DevOps toolchain, including container registries, artifact repositories, and environment configurations. Integrate automated security testing into delivery workflows and work with developers to remediate vulnerabilities and pipeline performance bottlenecks. Support AWS GovCloud deployments and environments subject to Department of Defense Impact Level 5 (IL5) requirements. Implement monitoring, centralized logging, and alerting to support troubleshooting, capacity planning, and service reliability. Configure platform access controls and integrate secrets management and certificate handling into deployment workflows. Troubleshoot issues involving Linux systems, cloud networking, permissions, storage, and container orchestration. Automate patching, deployment validation, rollback, and recovery procedures. Document pipeline configurations and operational procedures, contribute to implementation plans and security testing reports, and help developers use the delivery environment effectively. Evaluate tools and deployment approaches through proof-of-concept testing and improve deployment speed, vulnerability remediation, automated testing, and service availability. Requirements Bachelor's degree in engineering, mathematics, Computer Science, IT, Information Systems, or a related quantitative field. Typically 10 years of professional software engineering experience. Active TS/SCI clearance with a CI polygraph. Prior Intelligence Community support experience. Professional or academic experience with programming and Agile, DevOps, or DevSecOps. Hands-on AWS infrastructure experience across compute, networking, storage, and IAM. Experience managing Kubernetes workloads, networking, storage, scaling, and troubleshooting. Experience with Ansible, infrastructure as code, Git, and version-controlled configurations. Experience building CI/CD pipelines with automated security testing. Strong Linux administration and Python, Bash, or similar scripting skills. Ability to troubleshoot cloud, container, and application deployments. Agile Developer or Certified Scrum Developer certification. Desired Skills Master's degree in a related quantitative field. Meet DoD 8140/8570 IAM Level II or III requirements (e.g., CISSP, CISM, CAP/ISC2 CGRC). OpenShift deployment, cluster configuration, access controls, networking, and workload security. AWS GovCloud and Impact Level 5 deployment experience. Terraform, CloudFormation, and reusable Ansible roles/playbooks. CI/CD integration of SAST, DAST, dependency checks, and container scanning. Database or search platform deployment, storage, backup/recovery, and availability. Enterprise identity integration, secrets management, and certificate automation. Health checks, monitoring, rollback, and tested recovery procedures. AWS, Kubernetes, Red Hat, or infrastructure automation certifications. Benefits At RMC, we're committed to your career growth! RMC differentiates itself from other firms through its investment in our employees. We invest our resources to train, certify, educate, and build our employees. RMC can offer you a great place to work with a small company feel and give you the experience, tuition assistance, and certifications that will take your career to the next level. This also includes a competitive paid vacation package with 11 paid federal holidays. Additionally, we also offer high-quality, low-deductible healthcare plans, pet insurance, and a competitive 401K package. Salary at RMC is determined by various factors, including but not limited to location, a candidate's specific combination of education, knowledge, skills, competencies, and experience, as well as contract-specific requirements.
10/31/2026
Full time
Job Description Job Description Resource Management Concepts, Inc. (RMC) provides high-quality, professional services to government and commercial sectors. Our mission is to deliver exceptional management and technology solutions supporting the protection and preservation of the people and environment of the United States of America. RMC is seeking a Senior DevOps Engineer to build, automate, and maintain the cloud infrastructure and secure deployment environments supporting mission applications and core services. This role combines infrastructure as code, Kubernetes deployment, and automated security testing within Amazon Web Services (AWS) environments. The engineer will work closely with software developers to establish consistent environments and move services into reliable, scalable deployments. Candidates should understand how cloud infrastructure, container orchestration, networking, and security controls work together. We are looking for hands-on experience designing and operating these environments, with an emphasis on automation, troubleshooting, and improving software delivery. This position is contingent on contract award and position availability. It is a full-time, on-site role at a Government facility in Charleston, SC. What You'll Do: Build, automate, and maintain AWS infrastructure supporting development, integration, testing, and operational deployments. Develop infrastructure as code and Ansible automation to create repeatable deployments, maintain consistent configurations, and reduce configuration drift. Deploy and operate containerized applications using Kubernetes and Red Hat OpenShift, addressing scalability, availability, networking, resource management, and persistent storage. Build and maintain continuous integration and continuous delivery (CI/CD) pipelines that automate software builds, testing, security checks, and deployments. Configure and maintain the DevOps toolchain, including container registries, artifact repositories, and environment configurations. Integrate automated security testing into delivery workflows and work with developers to remediate vulnerabilities and pipeline performance bottlenecks. Support AWS GovCloud deployments and environments subject to Department of Defense Impact Level 5 (IL5) requirements. Implement monitoring, centralized logging, and alerting to support troubleshooting, capacity planning, and service reliability. Configure platform access controls and integrate secrets management and certificate handling into deployment workflows. Troubleshoot issues involving Linux systems, cloud networking, permissions, storage, and container orchestration. Automate patching, deployment validation, rollback, and recovery procedures. Document pipeline configurations and operational procedures, contribute to implementation plans and security testing reports, and help developers use the delivery environment effectively. Evaluate tools and deployment approaches through proof-of-concept testing and improve deployment speed, vulnerability remediation, automated testing, and service availability. Requirements Bachelor's degree in engineering, mathematics, Computer Science, IT, Information Systems, or a related quantitative field. Typically 10 years of professional software engineering experience. Active TS/SCI clearance with a CI polygraph. Prior Intelligence Community support experience. Professional or academic experience with programming and Agile, DevOps, or DevSecOps. Hands-on AWS infrastructure experience across compute, networking, storage, and IAM. Experience managing Kubernetes workloads, networking, storage, scaling, and troubleshooting. Experience with Ansible, infrastructure as code, Git, and version-controlled configurations. Experience building CI/CD pipelines with automated security testing. Strong Linux administration and Python, Bash, or similar scripting skills. Ability to troubleshoot cloud, container, and application deployments. Agile Developer or Certified Scrum Developer certification. Desired Skills Master's degree in a related quantitative field. Meet DoD 8140/8570 IAM Level II or III requirements (e.g., CISSP, CISM, CAP/ISC2 CGRC). OpenShift deployment, cluster configuration, access controls, networking, and workload security. AWS GovCloud and Impact Level 5 deployment experience. Terraform, CloudFormation, and reusable Ansible roles/playbooks. CI/CD integration of SAST, DAST, dependency checks, and container scanning. Database or search platform deployment, storage, backup/recovery, and availability. Enterprise identity integration, secrets management, and certificate automation. Health checks, monitoring, rollback, and tested recovery procedures. AWS, Kubernetes, Red Hat, or infrastructure automation certifications. Benefits At RMC, we're committed to your career growth! RMC differentiates itself from other firms through its investment in our employees. We invest our resources to train, certify, educate, and build our employees. RMC can offer you a great place to work with a small company feel and give you the experience, tuition assistance, and certifications that will take your career to the next level. This also includes a competitive paid vacation package with 11 paid federal holidays. Additionally, we also offer high-quality, low-deductible healthcare plans, pet insurance, and a competitive 401K package. Salary at RMC is determined by various factors, including but not limited to location, a candidate's specific combination of education, knowledge, skills, competencies, and experience, as well as contract-specific requirements.
Job Description Job Description Job Description: o Perform functional and automation testing for Capital Markets, ensuring quality, reliability, and performance. o Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms o Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing. o Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity. o Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity. o Work with market data, pricing, reference data, index calculation, or similar financial applications. o Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred Responsibilities: o Develop and document application test plans and test cases based on software requirements and technical specifications o Evaluate requirements and define testing objectives and approaches while working in Agile methodology o Continuous review and improvement of the testing and quality assurance methodologies and measurement of these processes o Test and respond to Software Quality Assurance issues with related groups such as Development, Database, Integration, and Customer Support o Understand business model and customer needs and apply/modify QA techniques accordingly o Provide effective communication regarding issues, testing status and potential risks o Effectively interact with global customers, business users and IT staff o Manage, maintain QA environments along with build and deployments o Design and develop test automation solutions using Cucumber / Selenium, and other technologies determined to best suit our needs Qualifications: A Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience o 8 years of experience in complete software testing activities. o Experience with Capital Market and FinTech is ideal o Experience with Index/Benchmarks, Asset Management, or Portfolio Investment modeling o Experience with Market Data such as Equity, Forex or Options asset classes preferred and will be given preference. o Hands on experience working with testing frameworks, Selenium web driver, Cucumber o Hands on experience with Object oriented language like Java or Python o Hands on experience with test frameworks like Carina, Karate would be plus o Knowledge of cloud technology (AWS preferred) o Experience in SQL a must. Knowledge of PL/SQL, No SQL DB, Linux/UNIX, Jenkins preferred o Experience in supporting test strategy activities, particularly in integration of multiple applications and systems o Experience in evaluating testing technologies , conducting test strategy design and test script code reviews o Demonstrated skill to proactively resolves issues and escalate appropriately o Experience in Gen-AI tools preferred. o Excellent communication skills are essential, with strong verbal and writing proficiencies o Excellent understanding of release testing, sign-off and deployment methods What are the top 3 skills required for this role? 1. Selenium 2. Java 3. SQL
10/31/2026
Full time
Job Description Job Description Job Description: o Perform functional and automation testing for Capital Markets, ensuring quality, reliability, and performance. o Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms o Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing. o Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity. o Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity. o Work with market data, pricing, reference data, index calculation, or similar financial applications. o Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred Responsibilities: o Develop and document application test plans and test cases based on software requirements and technical specifications o Evaluate requirements and define testing objectives and approaches while working in Agile methodology o Continuous review and improvement of the testing and quality assurance methodologies and measurement of these processes o Test and respond to Software Quality Assurance issues with related groups such as Development, Database, Integration, and Customer Support o Understand business model and customer needs and apply/modify QA techniques accordingly o Provide effective communication regarding issues, testing status and potential risks o Effectively interact with global customers, business users and IT staff o Manage, maintain QA environments along with build and deployments o Design and develop test automation solutions using Cucumber / Selenium, and other technologies determined to best suit our needs Qualifications: A Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience o 8 years of experience in complete software testing activities. o Experience with Capital Market and FinTech is ideal o Experience with Index/Benchmarks, Asset Management, or Portfolio Investment modeling o Experience with Market Data such as Equity, Forex or Options asset classes preferred and will be given preference. o Hands on experience working with testing frameworks, Selenium web driver, Cucumber o Hands on experience with Object oriented language like Java or Python o Hands on experience with test frameworks like Carina, Karate would be plus o Knowledge of cloud technology (AWS preferred) o Experience in SQL a must. Knowledge of PL/SQL, No SQL DB, Linux/UNIX, Jenkins preferred o Experience in supporting test strategy activities, particularly in integration of multiple applications and systems o Experience in evaluating testing technologies , conducting test strategy design and test script code reviews o Demonstrated skill to proactively resolves issues and escalate appropriately o Experience in Gen-AI tools preferred. o Excellent communication skills are essential, with strong verbal and writing proficiencies o Excellent understanding of release testing, sign-off and deployment methods What are the top 3 skills required for this role? 1. Selenium 2. Java 3. SQL
Job Description Job Description Title: Quality Engineering/Test Automation Engineer Location: Vienna, VA Work schedule: hybrid, onsite 3 days a week Pay Rate: Open to Both W2 options and established 1099, no c2c Position Type: Contract LOCAL CANDIDATES ONLY This role is for a Quality Engineering/Test Automation professional with 5-10 years of experience who can design, develop, and maintain scalable automated testing solutions across web, mobile, API, CMS, and cloud-based applications. The position focuses heavily on test automation, CI/CD integration, accessibility testing, and AI-driven testing. The engineer will build automation frameworks, execute multiple types of testing, integrate testing into continuous delivery pipelines, and collaborate with engineering, product, and design teams to improve software quality. A particularly important aspect of the role is using AI-assisted testing to accelerate test creation, optimize regression testing, improve defect analysis, and generate better quality insights. This role requires a 5-10 year Quality Engineer/SDET/Test Automation professional with deep automation-framework experience, Azure DevOps/CI/CD expertise, strong accessibility testing knowledge, and broad web/mobile/API testing experience. Candidates must have experience applying AI to software testing, rather than simply having general AI knowledge. Primary Responsibilities Design and maintain automated testing frameworks and test suites. Integrate automated tests into CI/CD pipelines. Perform functional, regression, integration, accessibility, performance, and cross-browser testing. Test web, mobile, API, CMS, and enterprise applications. Apply AI-assisted testing for test generation, regression optimization, defect analysis, and reporting. Collaborate with engineering, product, and design teams. Continuously improve testing processes, tools, automation coverage, and quality practices. In this role, you will design, develop, and maintain automated testing solutions across web, mobile, API, CMS, and cloud-based platforms while partnering closely with engineering, product, and design system teams. This is an excellent opportunity for a quality engineering professional who is passionate about automation, accessibility, AI-driven testing innovation, and delivering exceptional digital experiences. The ideal candidate brings 5-10 years of experience in software quality engineering, test automation, and CI/CD practices, with a strong foundation in accessibility testing and modern engineering tools. You will play a key role in building scalable automation frameworks, improving testing processes, and integrating AI-enabled capabilities to accelerate test creation, optimize regression testing, enhance defect analysis, and improve overall quality outcomes. What You'll Do Design and maintain automated testing frameworks and test suites Integrate testing into CI/CD pipelines to support continuous delivery Execute functional, regression, integration, accessibility, performance, and cross-browser testing Collaborate with cross-functional teams to ensure high-quality releases Leverage AI-assisted testing capabilities to improve efficiency, coverage, and quality insights Drive continuous improvement of testing practices, tools, and processes What You'll Bring 5-10 years of experience in software testing, quality engineering, or test automation Strong experience with automated testing tools and frameworks Experience with Azure DevOps, Git-based repositories, CI/CD pipelines, and test management tools Knowledge of accessibility standards (WCAG, ADA, Section 508) and assistive technologies Experience testing web, mobile, API, and enterprise applications Experience incorporating AI into testing processes, including test generation, defect analysis, regression optimization, or automated reporting Strong analytical, troubleshooting, communication, and collaboration skills System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
10/31/2026
Full time
Job Description Job Description Title: Quality Engineering/Test Automation Engineer Location: Vienna, VA Work schedule: hybrid, onsite 3 days a week Pay Rate: Open to Both W2 options and established 1099, no c2c Position Type: Contract LOCAL CANDIDATES ONLY This role is for a Quality Engineering/Test Automation professional with 5-10 years of experience who can design, develop, and maintain scalable automated testing solutions across web, mobile, API, CMS, and cloud-based applications. The position focuses heavily on test automation, CI/CD integration, accessibility testing, and AI-driven testing. The engineer will build automation frameworks, execute multiple types of testing, integrate testing into continuous delivery pipelines, and collaborate with engineering, product, and design teams to improve software quality. A particularly important aspect of the role is using AI-assisted testing to accelerate test creation, optimize regression testing, improve defect analysis, and generate better quality insights. This role requires a 5-10 year Quality Engineer/SDET/Test Automation professional with deep automation-framework experience, Azure DevOps/CI/CD expertise, strong accessibility testing knowledge, and broad web/mobile/API testing experience. Candidates must have experience applying AI to software testing, rather than simply having general AI knowledge. Primary Responsibilities Design and maintain automated testing frameworks and test suites. Integrate automated tests into CI/CD pipelines. Perform functional, regression, integration, accessibility, performance, and cross-browser testing. Test web, mobile, API, CMS, and enterprise applications. Apply AI-assisted testing for test generation, regression optimization, defect analysis, and reporting. Collaborate with engineering, product, and design teams. Continuously improve testing processes, tools, automation coverage, and quality practices. In this role, you will design, develop, and maintain automated testing solutions across web, mobile, API, CMS, and cloud-based platforms while partnering closely with engineering, product, and design system teams. This is an excellent opportunity for a quality engineering professional who is passionate about automation, accessibility, AI-driven testing innovation, and delivering exceptional digital experiences. The ideal candidate brings 5-10 years of experience in software quality engineering, test automation, and CI/CD practices, with a strong foundation in accessibility testing and modern engineering tools. You will play a key role in building scalable automation frameworks, improving testing processes, and integrating AI-enabled capabilities to accelerate test creation, optimize regression testing, enhance defect analysis, and improve overall quality outcomes. What You'll Do Design and maintain automated testing frameworks and test suites Integrate testing into CI/CD pipelines to support continuous delivery Execute functional, regression, integration, accessibility, performance, and cross-browser testing Collaborate with cross-functional teams to ensure high-quality releases Leverage AI-assisted testing capabilities to improve efficiency, coverage, and quality insights Drive continuous improvement of testing practices, tools, and processes What You'll Bring 5-10 years of experience in software testing, quality engineering, or test automation Strong experience with automated testing tools and frameworks Experience with Azure DevOps, Git-based repositories, CI/CD pipelines, and test management tools Knowledge of accessibility standards (WCAG, ADA, Section 508) and assistive technologies Experience testing web, mobile, API, and enterprise applications Experience incorporating AI into testing processes, including test generation, defect analysis, regression optimization, or automated reporting Strong analytical, troubleshooting, communication, and collaboration skills System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
Job Description We're passionate about designing and delivering top-notch digital experiences for our clients - and their customers - and helping them create efficiencies using data and technology. But what's most important about us is that we have a diverse team of experts all dedicated to getting clients from goals to outcomes - and that's where you come in. This is a on-site position. Will need to work 5 days a week in offices located in Pittsburgh, PA. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience) 5+ years of professional experience as a Full Stack .NET Developer Previous experience working in the banking, fintech, or financial services industry is required Strong proficiency in C#, .NET / .NET Core, and ASP.NET MVC/Web API Experience with front-end frameworks such as Angular, React, or Blazor Solid experience with SQL Server and database design Familiarity with RESTful API development and integration Understanding of secure coding practices and data protection in financial applications Experience with version control systems ( Git ) Preferred Qualifications: Experience with cloud platforms ( Azure preferred, AWS acceptable) Knowledge of banking regulations and compliance standards ( PCI-DSS, SOX, AML/KYC, GDPR ) Familiarity with microservices architecture and containerization (Docker, Kubernetes) Experience with CI/CD pipelines (Azure DevOps, Jenkins, GitLab) Understanding of core banking systems, payment processing, or digital banking platforms Experience working in Agile/Scrum environments Relevant certifications (Microsoft Certified: Azure Developer, etc.) Key Responsibilities: Design, develop, test, and deploy full stack applications using .NET / .NET Core, C#, and ASP.NET Build responsive, user-friendly front-end interfaces using modern frameworks ( Angular, React, or Blazor ) Develop and maintain RESTful APIs and microservices for banking and financial applications Design and optimize relational databases ( SQL Server ), writing efficient queries, stored procedures, and functions Collaborate with product owners, business analysts, and stakeholders to translate banking requirements into technical solutions Ensure applications meet security, compliance, and regulatory standards (e.g., PCI-DSS, SOX, GDPR, AML/KYC) Participate in code reviews, unit testing, and continuous integration/continuous deployment (CI/CD) processes Troubleshoot, debug, and optimize application performance in production environments Integrate with third-party banking systems, payment gateways, and core banking platforms Document technical designs, workflows, and processes More about G2O: We're different than other companies at G2O. We blend the research and design, technology, and data expertise to deliver the solutions our clients crave - and we do all of this as one in-house team, from vision to execution. We're also the largest company of our kind based in Ohio to do this - and have been evolving how we do it for 40 years. Individually, we bring a wealth of experience from diverse backgrounds - personally and in business. We're a diverse and passionate team of leaders and experts in technology, data analytics, design, content, and more. But we think we're best when we put our minds together. Each person brings something distinct to our team - some unique flavor to their background or their experience. That makes for stronger collaboration - and elevates the outcomes for our clients. Are you ready to collaborate to greatness with us? Learn more at
10/31/2026
Full time
Job Description We're passionate about designing and delivering top-notch digital experiences for our clients - and their customers - and helping them create efficiencies using data and technology. But what's most important about us is that we have a diverse team of experts all dedicated to getting clients from goals to outcomes - and that's where you come in. This is a on-site position. Will need to work 5 days a week in offices located in Pittsburgh, PA. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience) 5+ years of professional experience as a Full Stack .NET Developer Previous experience working in the banking, fintech, or financial services industry is required Strong proficiency in C#, .NET / .NET Core, and ASP.NET MVC/Web API Experience with front-end frameworks such as Angular, React, or Blazor Solid experience with SQL Server and database design Familiarity with RESTful API development and integration Understanding of secure coding practices and data protection in financial applications Experience with version control systems ( Git ) Preferred Qualifications: Experience with cloud platforms ( Azure preferred, AWS acceptable) Knowledge of banking regulations and compliance standards ( PCI-DSS, SOX, AML/KYC, GDPR ) Familiarity with microservices architecture and containerization (Docker, Kubernetes) Experience with CI/CD pipelines (Azure DevOps, Jenkins, GitLab) Understanding of core banking systems, payment processing, or digital banking platforms Experience working in Agile/Scrum environments Relevant certifications (Microsoft Certified: Azure Developer, etc.) Key Responsibilities: Design, develop, test, and deploy full stack applications using .NET / .NET Core, C#, and ASP.NET Build responsive, user-friendly front-end interfaces using modern frameworks ( Angular, React, or Blazor ) Develop and maintain RESTful APIs and microservices for banking and financial applications Design and optimize relational databases ( SQL Server ), writing efficient queries, stored procedures, and functions Collaborate with product owners, business analysts, and stakeholders to translate banking requirements into technical solutions Ensure applications meet security, compliance, and regulatory standards (e.g., PCI-DSS, SOX, GDPR, AML/KYC) Participate in code reviews, unit testing, and continuous integration/continuous deployment (CI/CD) processes Troubleshoot, debug, and optimize application performance in production environments Integrate with third-party banking systems, payment gateways, and core banking platforms Document technical designs, workflows, and processes More about G2O: We're different than other companies at G2O. We blend the research and design, technology, and data expertise to deliver the solutions our clients crave - and we do all of this as one in-house team, from vision to execution. We're also the largest company of our kind based in Ohio to do this - and have been evolving how we do it for 40 years. Individually, we bring a wealth of experience from diverse backgrounds - personally and in business. We're a diverse and passionate team of leaders and experts in technology, data analytics, design, content, and more. But we think we're best when we put our minds together. Each person brings something distinct to our team - some unique flavor to their background or their experience. That makes for stronger collaboration - and elevates the outcomes for our clients. Are you ready to collaborate to greatness with us? Learn more at
Job Description Job Description Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are hiring a DevOps Engineer to design, automate, and scale cloud-native infrastructure supporting enterprise-grade applications. This role will own Kubernetes environments, CI/CD pipelines, and cloud platform operations in Google Cloud Platform (GCP). The ideal candidate brings strong automation discipline and experience operating production-grade distributed systems. Responsibilities Design, deploy, and operate Kubernetes clusters in production environments Build and maintain CI/CD pipelines to support secure and repeatable deployments Implement and manage service mesh architectures using Istio Administer and optimize Google Cloud Platform infrastructure Integrate Jira workflows into development and release processes Monitor, troubleshoot, and improve reliability, performance, and security Collaborate with engineering teams to implement infrastructure as code and automation standards Additional duties as required Minimum Requirements 5 years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering 3 years of hands-on Kubernetes administration in production environments 3 years of experience building and maintaining CI/CD pipelines 3 years of experience with Google Cloud Platform (GCP) 2 years of experience implementing and managing Istio service mesh Experience administering Jira for engineering workflow management Preferred Qualifications Experience with Infrastructure as Code tools (Terraform or similar) Experience with container security and vulnerability management Experience supporting microservices-based architectures Google Cloud Professional certification Experience operating highly available distributed systems About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $140,000 - $170,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at . Visit our website at to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
10/31/2026
Full time
Job Description Job Description Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are hiring a DevOps Engineer to design, automate, and scale cloud-native infrastructure supporting enterprise-grade applications. This role will own Kubernetes environments, CI/CD pipelines, and cloud platform operations in Google Cloud Platform (GCP). The ideal candidate brings strong automation discipline and experience operating production-grade distributed systems. Responsibilities Design, deploy, and operate Kubernetes clusters in production environments Build and maintain CI/CD pipelines to support secure and repeatable deployments Implement and manage service mesh architectures using Istio Administer and optimize Google Cloud Platform infrastructure Integrate Jira workflows into development and release processes Monitor, troubleshoot, and improve reliability, performance, and security Collaborate with engineering teams to implement infrastructure as code and automation standards Additional duties as required Minimum Requirements 5 years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering 3 years of hands-on Kubernetes administration in production environments 3 years of experience building and maintaining CI/CD pipelines 3 years of experience with Google Cloud Platform (GCP) 2 years of experience implementing and managing Istio service mesh Experience administering Jira for engineering workflow management Preferred Qualifications Experience with Infrastructure as Code tools (Terraform or similar) Experience with container security and vulnerability management Experience supporting microservices-based architectures Google Cloud Professional certification Experience operating highly available distributed systems About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $140,000 - $170,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at . Visit our website at to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description This role is tied to a public-sector opportunity with a defined submission deadline. Open the role details to review project status, client/source context, responsibilities, evidence requirements, application steps, and the FuntoNetwork public links before applying. The full role page includes the structured role snapshot and current RFP status context. Role Snapshot Project Status: Green - Open - Apply by November 12, 2026 Deadline for Submission: November 12, 2026 at 4:00 PM Eastern Time Rate: Estimated 65-139 USD / Hour based on role, experience, and final project requirements Client / Source: New York City Police Department / NYC PASSPort Department: Application Engineering Reports To: Director of Consulting Services Location: On-site/Hybrid / New York City, New York Travel: As required by project scope Type: Individual consultant opportunity for an upcoming project About FuntoNetwork At FuntoNetwork, we connect experienced consultants with Upcoming project opportunities through a mobile-first platform built for discovery, review, application submission, payment tracking, and consultant support. The Opportunity FuntoNetwork is seeking a Full-Stack and Mobile Application Engineer for upcoming project opportunity: 05626P0001 - Paid Detail Application and Software Platform . Core Responsibilities Break the approved NYPD paid-detail scheduling and billing platform requirements into implementable changes. Identify the existing code and interfaces affected by NYPD paid-detail scheduling and billing platform changes. Develop the application components needed for NYPD paid-detail scheduling and billing platform. Implement the data handling required by NYPD paid-detail scheduling and billing platform. Connect the assigned NYPD paid-detail scheduling and billing platform components through their agreed interfaces. Check individual NYPD paid-detail scheduling and billing platform components with focused tests. Test interactions between NYPD paid-detail scheduling and billing platform components and connected services. Diagnose and correct defects found in NYPD paid-detail scheduling and billing platform tests. Review the changed NYPD paid-detail scheduling and billing platform code for consistency with the agreed design. Document the delivered NYPD paid-detail scheduling and billing platform changes and their operating constraints. What You Bring full-stack engineering mobile application development API development accessibility automated testing Relevant experience for this project-based role. Strong written communication, documentation, and stakeholder coordination skills. Ability to work against project deadlines and client requirements. Experience supporting public-sector, enterprise, or consulting projects is preferred. Attention to detail and ability to provide complete role-specific application materials. Bring a current resume, examples of relevant individual project work, role-required credentials, availability, and your proposed hourly rate. Be prepared to explain your own contribution to comparable deliverables. Earnings, Payments, and Tax Records Consultants will be able to track project earnings, payment status, and tax records inside the FuntoNetwork mobile app. Approved payments for this project opportunity will be processed through the app, and consultants will be able to request withdrawals from their available balance directly inside the app. The app will also provide access to relevant payment history and tax-related records for consultant tracking and reporting. How to Apply Apply for this role through the FuntoNetwork app with your current resume, relevant project experience, availability, work location, and proposed hourly rate in the stated currency. Include the role-specific credentials and evidence requested under What You Bring. Rates shown are estimates unless expressly confirmed; the agreed rate, scope, and start date will be confirmed in writing before work begins. Selection depends on project requirements, client approval, and award. An optional self-interview supports your application and does not guarantee selection. Contact Samuel Andoh Account Manager Email: Website: FuntoNetwork is an equal opportunity platform. RFP Status & Award Center View project status and award information FuntoNetwork Hiring Process View the FuntoNetwork hiring process FuntoNetwork App Open the FuntoNetwork App Store listing Optional Self-Interview for This Role You may request an optional self-interview. It does not guarantee selection or project award. Request an optional self-interview
10/31/2026
Full time
Job Description Job Description This role is tied to a public-sector opportunity with a defined submission deadline. Open the role details to review project status, client/source context, responsibilities, evidence requirements, application steps, and the FuntoNetwork public links before applying. The full role page includes the structured role snapshot and current RFP status context. Role Snapshot Project Status: Green - Open - Apply by November 12, 2026 Deadline for Submission: November 12, 2026 at 4:00 PM Eastern Time Rate: Estimated 65-139 USD / Hour based on role, experience, and final project requirements Client / Source: New York City Police Department / NYC PASSPort Department: Application Engineering Reports To: Director of Consulting Services Location: On-site/Hybrid / New York City, New York Travel: As required by project scope Type: Individual consultant opportunity for an upcoming project About FuntoNetwork At FuntoNetwork, we connect experienced consultants with Upcoming project opportunities through a mobile-first platform built for discovery, review, application submission, payment tracking, and consultant support. The Opportunity FuntoNetwork is seeking a Full-Stack and Mobile Application Engineer for upcoming project opportunity: 05626P0001 - Paid Detail Application and Software Platform . Core Responsibilities Break the approved NYPD paid-detail scheduling and billing platform requirements into implementable changes. Identify the existing code and interfaces affected by NYPD paid-detail scheduling and billing platform changes. Develop the application components needed for NYPD paid-detail scheduling and billing platform. Implement the data handling required by NYPD paid-detail scheduling and billing platform. Connect the assigned NYPD paid-detail scheduling and billing platform components through their agreed interfaces. Check individual NYPD paid-detail scheduling and billing platform components with focused tests. Test interactions between NYPD paid-detail scheduling and billing platform components and connected services. Diagnose and correct defects found in NYPD paid-detail scheduling and billing platform tests. Review the changed NYPD paid-detail scheduling and billing platform code for consistency with the agreed design. Document the delivered NYPD paid-detail scheduling and billing platform changes and their operating constraints. What You Bring full-stack engineering mobile application development API development accessibility automated testing Relevant experience for this project-based role. Strong written communication, documentation, and stakeholder coordination skills. Ability to work against project deadlines and client requirements. Experience supporting public-sector, enterprise, or consulting projects is preferred. Attention to detail and ability to provide complete role-specific application materials. Bring a current resume, examples of relevant individual project work, role-required credentials, availability, and your proposed hourly rate. Be prepared to explain your own contribution to comparable deliverables. Earnings, Payments, and Tax Records Consultants will be able to track project earnings, payment status, and tax records inside the FuntoNetwork mobile app. Approved payments for this project opportunity will be processed through the app, and consultants will be able to request withdrawals from their available balance directly inside the app. The app will also provide access to relevant payment history and tax-related records for consultant tracking and reporting. How to Apply Apply for this role through the FuntoNetwork app with your current resume, relevant project experience, availability, work location, and proposed hourly rate in the stated currency. Include the role-specific credentials and evidence requested under What You Bring. Rates shown are estimates unless expressly confirmed; the agreed rate, scope, and start date will be confirmed in writing before work begins. Selection depends on project requirements, client approval, and award. An optional self-interview supports your application and does not guarantee selection. Contact Samuel Andoh Account Manager Email: Website: FuntoNetwork is an equal opportunity platform. RFP Status & Award Center View project status and award information FuntoNetwork Hiring Process View the FuntoNetwork hiring process FuntoNetwork App Open the FuntoNetwork App Store listing Optional Self-Interview for This Role You may request an optional self-interview. It does not guarantee selection or project award. Request an optional self-interview
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver advanced analytics and mission-critical software solutions for government and commercial clients. In this role, you will architect and implement scalable services, data pipelines, and machine learning models that power high-impact systems in national security, health, and engineering. You will collaborate closely with cross-functional teams, translate complex mission needs into robust technical designs, and ensure secure, high-quality, and well-tested code. As a senior contributor, you will mentor others, drive technical decisions, and help shape innovative solutions in a mission-driven, collaborative, and learning-focused environment. Responsibilities Design, build, and deploy scalable software and data solutions for mission-critical systems Develop, train, and optimize machine learning and analytics models Architect cloud-native and distributed data processing pipelines Write clean, secure, and well-tested code following best practices Collaborate with cross-functional teams to translate mission needs into technical solutions Optimize system performance, reliability, and scalability in production environments Guide technical decisions, conduct code reviews, and mentor junior engineers Document system designs, models, and implementation details Ensure compliance with security, privacy, and regulatory requirements Contribute to innovation, prototypes, and continuous improvement initiatives Required Skills Python Java or C++Machine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) Distributed systems and microservices SQL and No SQL databases Linux and containerization (Docker, Kubernetes) Software testing and CI/CDSecure coding and system performance optimization
10/31/2026
Full time
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver advanced analytics and mission-critical software solutions for government and commercial clients. In this role, you will architect and implement scalable services, data pipelines, and machine learning models that power high-impact systems in national security, health, and engineering. You will collaborate closely with cross-functional teams, translate complex mission needs into robust technical designs, and ensure secure, high-quality, and well-tested code. As a senior contributor, you will mentor others, drive technical decisions, and help shape innovative solutions in a mission-driven, collaborative, and learning-focused environment. Responsibilities Design, build, and deploy scalable software and data solutions for mission-critical systems Develop, train, and optimize machine learning and analytics models Architect cloud-native and distributed data processing pipelines Write clean, secure, and well-tested code following best practices Collaborate with cross-functional teams to translate mission needs into technical solutions Optimize system performance, reliability, and scalability in production environments Guide technical decisions, conduct code reviews, and mentor junior engineers Document system designs, models, and implementation details Ensure compliance with security, privacy, and regulatory requirements Contribute to innovation, prototypes, and continuous improvement initiatives Required Skills Python Java or C++Machine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) Distributed systems and microservices SQL and No SQL databases Linux and containerization (Docker, Kubernetes) Software testing and CI/CDSecure coding and system performance optimization
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this hybrid role, you will build robust services, data pipelines, and production-grade ML models using modern languages, frameworks, and cloud platforms. You will collaborate closely with cross-functional teams, ensuring secure, high-performance systems, and mentor junior staff. Leverage Leidos' mission-driven, collaborative culture to solve complex problems with real-world impact while benefiting from strong pay, benefits, and growth opportunities. Responsibilities Design, develop, and deploy scalable software and data solutions for mission-critical systems Build and optimize data pipelines, ETL/ELT workflows, and analytics services Develop, train, and integrate machine learning models into production applications Collaborate with product owners, architects, and stakeholders to define technical requirements Ensure software quality through code reviews, testing, and best engineering practices Implement security, reliability, and performance tuning for cloud and on-prem solutions Mentor junior engineers and data scientists and promote engineering best practices Document system architecture, data flows, and operational runbooks Required Skills Python Java or C++Machine learning model development Statistical analysis and data modeling SQL and No SQL databases Data pipeline and ETL/ELT development Cloud platforms (AWS, Azure, or GCP) Distributed computing frameworks (e.g., Spark) Software architecture and design patterns CI/CD and automated testing
10/31/2026
Full time
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this hybrid role, you will build robust services, data pipelines, and production-grade ML models using modern languages, frameworks, and cloud platforms. You will collaborate closely with cross-functional teams, ensuring secure, high-performance systems, and mentor junior staff. Leverage Leidos' mission-driven, collaborative culture to solve complex problems with real-world impact while benefiting from strong pay, benefits, and growth opportunities. Responsibilities Design, develop, and deploy scalable software and data solutions for mission-critical systems Build and optimize data pipelines, ETL/ELT workflows, and analytics services Develop, train, and integrate machine learning models into production applications Collaborate with product owners, architects, and stakeholders to define technical requirements Ensure software quality through code reviews, testing, and best engineering practices Implement security, reliability, and performance tuning for cloud and on-prem solutions Mentor junior engineers and data scientists and promote engineering best practices Document system architecture, data flows, and operational runbooks Required Skills Python Java or C++Machine learning model development Statistical analysis and data modeling SQL and No SQL databases Data pipeline and ETL/ELT development Cloud platforms (AWS, Azure, or GCP) Distributed computing frameworks (e.g., Spark) Software architecture and design patterns CI/CD and automated testing
Leidos seeks a Senior Software Engineer / Data Scientist to build secure, scalable analytics solutions supporting national security, health, and engineering missions. In this role, you will design and implement data-intensive services, machine learning models, and modern cloud-based architectures that turn complex data into actionable insight for government and commercial clients. You will collaborate with cross-functional teams, mentor junior engineers, and champion best practices in software quality, cybersecurity, and MLOps. Leidos offers flexible work options, strong benefits, and extensive professional development in a mission-driven, inclusive culture. Responsibilities Design, build, and optimize scalable data-driven software solutions for mission-critical systems Develop, train, and deploy machine learning and advanced analytics models Collaborate with cross-functional teams to translate mission needs into technical requirements Implement secure, reliable, and high-performance services and data pipelines Review code, mentor junior engineers, and promote engineering best practices Integrate solutions with existing enterprise platforms and government systems Monitor, troubleshoot, and improve production systems and analytics workflows Contribute to technical architecture, design decisions, and documentation Required Skills Python Java or C++Machine learning Statistical modeling SQL and No SQL databases Data engineering and ETLCloud platforms (AWS/Azure/GCP) RESTful APIs and microservices MLOps and model deployment Linux and containerization (Docker/Kubernetes)
10/31/2026
Full time
Leidos seeks a Senior Software Engineer / Data Scientist to build secure, scalable analytics solutions supporting national security, health, and engineering missions. In this role, you will design and implement data-intensive services, machine learning models, and modern cloud-based architectures that turn complex data into actionable insight for government and commercial clients. You will collaborate with cross-functional teams, mentor junior engineers, and champion best practices in software quality, cybersecurity, and MLOps. Leidos offers flexible work options, strong benefits, and extensive professional development in a mission-driven, inclusive culture. Responsibilities Design, build, and optimize scalable data-driven software solutions for mission-critical systems Develop, train, and deploy machine learning and advanced analytics models Collaborate with cross-functional teams to translate mission needs into technical requirements Implement secure, reliable, and high-performance services and data pipelines Review code, mentor junior engineers, and promote engineering best practices Integrate solutions with existing enterprise platforms and government systems Monitor, troubleshoot, and improve production systems and analytics workflows Contribute to technical architecture, design decisions, and documentation Required Skills Python Java or C++Machine learning Statistical modeling SQL and No SQL databases Data engineering and ETLCloud platforms (AWS/Azure/GCP) RESTful APIs and microservices MLOps and model deployment Linux and containerization (Docker/Kubernetes)
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns
10/31/2026
Full time
Leidos is seeking a Senior Software Engineer / Data Scientist to design and deliver scalable, data-intensive solutions supporting national security, health, and engineering missions. In this role, you will architect and implement secure software systems, data pipelines, and machine learning models in modern cloud environments, working closely with cross-functional teams to translate complex mission needs into robust technical solutions. You will champion best practices in code quality, testing, and CI/CD while optimizing performance, reliability, and observability. As a senior technical contributor, you will mentor junior staff and help shape the technical roadmap on high-impact, real-world projects within a collaborative, mission-driven culture. Responsibilities Design, build, and maintain scalable, secure software and data pipelines for mission-critical systems Develop and deploy machine learning and analytics solutions to support customer missions Collaborate with cross-functional teams to translate mission needs into technical designs Implement best practices for code quality, testing, and CI/CD in a cloud-centric environment Optimize system performance, reliability, and observability for large-scale data workloads Mentor junior engineers and data scientists and contribute to technical roadmap decisions Required Skills Python Java or C++SQLMachine learning and statistical modeling Data engineering and ETL pipelines Cloud platforms (AWS, Azure, or GCP) CI/CD and Dev Ops practices Distributed systems and microservices Containerization (Docker, Kubernetes) Software architecture and design patterns