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 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 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 We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Role Description The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $160k/year & benefits (see below). Qualifications 12+ years of enterprise architecture and software engineering experience. 8+ years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision making. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. SYNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
10/31/2026
Full time
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Role Description The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $160k/year & benefits (see below). Qualifications 12+ years of enterprise architecture and software engineering experience. 8+ years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision making. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. SYNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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
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 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
Genworth seeks a Principal Security Engineer to safeguard critical financial and insurance platforms supporting long-term care and protection products. You will own the design and implementation of secure architectures, drive threat modeling and risk assessments, and lead incident response for complex events. Partnering with engineering, IT, and compliance, you'll embed security-by-design, strengthen cloud and application defenses, and ensure regulatory alignment. You'll mentor teams, advance DevSecOps practices, and deliver innovative security solutions that protect customers' financial futures. Responsibilities Design and implement secure architecture for Genworth's financial platforms and insurance products Lead threat modeling, risk assessments, and security reviews for new and existing systems Engineer and maintain security controls, including IAM, encryption, logging, and endpoint protection Collaborate with software, infrastructure, and compliance teams to embed security-by-design Own incident response for complex security events and guide root-cause remediation Develop security standards, policies, and reference architectures aligned to regulatory needs Mentor engineers and champion secure coding, Dev Sec Ops, and cloud security best practices Evaluate and integrate advanced security tools and automation to improve detection and response Required Skills Cloud security (AWS/Azure/GCP) Identity and access management (IAM) Network and infrastructure security Application security and secure coding Threat modeling and risk assessment Security incident response and forensics Security architecture and design Dev Sec Ops and CI/CD security tooling SIEM, logging, and monitoring platforms Encryption, key management, and PKI
10/31/2026
Full time
Genworth seeks a Principal Security Engineer to safeguard critical financial and insurance platforms supporting long-term care and protection products. You will own the design and implementation of secure architectures, drive threat modeling and risk assessments, and lead incident response for complex events. Partnering with engineering, IT, and compliance, you'll embed security-by-design, strengthen cloud and application defenses, and ensure regulatory alignment. You'll mentor teams, advance DevSecOps practices, and deliver innovative security solutions that protect customers' financial futures. Responsibilities Design and implement secure architecture for Genworth's financial platforms and insurance products Lead threat modeling, risk assessments, and security reviews for new and existing systems Engineer and maintain security controls, including IAM, encryption, logging, and endpoint protection Collaborate with software, infrastructure, and compliance teams to embed security-by-design Own incident response for complex security events and guide root-cause remediation Develop security standards, policies, and reference architectures aligned to regulatory needs Mentor engineers and champion secure coding, Dev Sec Ops, and cloud security best practices Evaluate and integrate advanced security tools and automation to improve detection and response Required Skills Cloud security (AWS/Azure/GCP) Identity and access management (IAM) Network and infrastructure security Application security and secure coding Threat modeling and risk assessment Security incident response and forensics Security architecture and design Dev Sec Ops and CI/CD security tooling SIEM, logging, and monitoring platforms Encryption, key management, and PKI
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver secure, scalable, data-driven solutions for mission-critical national security, health, and engineering programs. You will build robust services and data pipelines, develop and deploy machine learning models, and integrate analytics into production applications. Partnering with cross-functional teams, you will translate complex requirements into elegant architectures, uphold security and quality standards, and mentor junior staff in a highly collaborative, mission-focused environment that values innovation, integrity, and continuous learning. Responsibilities Design, build, and maintain scalable software and data pipelines for mission-critical systems Develop and deploy machine learning models and analytical solutions Collaborate with cross-functional teams to translate mission needs into technical solutions Implement secure, reliable, and high-performance services in cloud and on-prem environments Review code, mentor junior engineers, and promote engineering best practices Analyze large, complex datasets to generate actionable insights Integrate analytics and models into production applications and dashboards Ensure compliance with security, governance, and quality standards Contribute to architecture decisions and technical roadmaps Document designs, experiments, and operational runbooks Required Skills Python Java or C++SQLMachine Learning Data Engineering Cloud Platforms (AWS/Azure/GCP) Distributed Systems MLOps/Model Deployment Linux Data Visualization
10/31/2026
Full time
Leidos seeks a Senior Software Engineer / Data Scientist to design and deliver secure, scalable, data-driven solutions for mission-critical national security, health, and engineering programs. You will build robust services and data pipelines, develop and deploy machine learning models, and integrate analytics into production applications. Partnering with cross-functional teams, you will translate complex requirements into elegant architectures, uphold security and quality standards, and mentor junior staff in a highly collaborative, mission-focused environment that values innovation, integrity, and continuous learning. Responsibilities Design, build, and maintain scalable software and data pipelines for mission-critical systems Develop and deploy machine learning models and analytical solutions Collaborate with cross-functional teams to translate mission needs into technical solutions Implement secure, reliable, and high-performance services in cloud and on-prem environments Review code, mentor junior engineers, and promote engineering best practices Analyze large, complex datasets to generate actionable insights Integrate analytics and models into production applications and dashboards Ensure compliance with security, governance, and quality standards Contribute to architecture decisions and technical roadmaps Document designs, experiments, and operational runbooks Required Skills Python Java or C++SQLMachine Learning Data Engineering Cloud Platforms (AWS/Azure/GCP) Distributed Systems MLOps/Model Deployment Linux Data Visualization
Genworth is seeking a Lead Platform Architect to define and drive the cloud platform strategy supporting our insurance and financial services portfolio. In this role, you will design secure, scalable, and highly available cloud architectures that power long-term care and protection products. You'll set platform and governance standards, guide modernization and migration efforts, and mentor engineering teams. Partnering closely with security, operations, and product leaders, you'll ensure our cloud platforms are resilient, cost-efficient, and aligned with Genworth's mission of long-term financial security. Responsibilities Define and own cloud platform architecture and technology roadmap for finance and insurance solutions Design secure, scalable, highly available cloud infrastructure and services Lead evaluation and selection of cloud technologies, tools, and patterns Provide technical leadership and mentorship to engineering and Dev Ops teams Establish cloud governance, security, reliability, and cost-optimization standards Collaborate with product, security, and operations to align architecture with business goals Oversee migration of legacy systems to modern cloud-native platforms Create and maintain architecture documentation, reference implementations, and best practices Required Skills Cloud architecture (AWS/Azure/GCP) Infrastructure as Code (Terraform/Cloud Formation) Kubernetes and container orchestration CI/CD pipelines and Dev Ops tooling Cloud security, identity, and governance Microservices and API design High availability, resilience, and scalability design Networking and VPC design in cloud environments Monitoring, observability, and logging platforms Cost optimization and Fin Ops practices
10/31/2026
Full time
Genworth is seeking a Lead Platform Architect to define and drive the cloud platform strategy supporting our insurance and financial services portfolio. In this role, you will design secure, scalable, and highly available cloud architectures that power long-term care and protection products. You'll set platform and governance standards, guide modernization and migration efforts, and mentor engineering teams. Partnering closely with security, operations, and product leaders, you'll ensure our cloud platforms are resilient, cost-efficient, and aligned with Genworth's mission of long-term financial security. Responsibilities Define and own cloud platform architecture and technology roadmap for finance and insurance solutions Design secure, scalable, highly available cloud infrastructure and services Lead evaluation and selection of cloud technologies, tools, and patterns Provide technical leadership and mentorship to engineering and Dev Ops teams Establish cloud governance, security, reliability, and cost-optimization standards Collaborate with product, security, and operations to align architecture with business goals Oversee migration of legacy systems to modern cloud-native platforms Create and maintain architecture documentation, reference implementations, and best practices Required Skills Cloud architecture (AWS/Azure/GCP) Infrastructure as Code (Terraform/Cloud Formation) Kubernetes and container orchestration CI/CD pipelines and Dev Ops tooling Cloud security, identity, and governance Microservices and API design High availability, resilience, and scalability design Networking and VPC design in cloud environments Monitoring, observability, and logging platforms Cost optimization and Fin Ops practices
Job Description Job Description Mobile Test Engineer Job Description (JD) Job Title Mobile Test Engineer Job Summary We are seeking a skilled Mobile Test Engineer to ensure the quality, performance, usability, and security of Android and iOS mobile applications. The ideal candidate should have experience in manual and automation testing, mobile testing tools such as Appium, API testing, performance testing, and CI/CD integration. The role involves validating mobile applications across multiple devices, operating systems, and network conditions. Key Responsibilities Design, develop, and execute test plans and test cases for mobile applications. Perform manual and automated testing for Android and iOS applications. Develop and maintain mobile automation frameworks using Appium. Validate application functionality, usability, compatibility, performance, and security. Test application behavior across multiple devices, OS versions, and screen sizes. Execute regression, smoke, sanity, integration, and end-to-end testing. Perform API testing using Postman or REST Assured. Identify, report, and track defects using defect management tools. Integrate mobile automation with CI/CD pipelines. Collaborate with developers, product managers, QA teams, and DevOps engineers. Prepare test reports and maintain testing documentation. Required Skills Mobile Testing Android Testing iOS Testing Mobile Application Testing Functional Testing Regression Testing Smoke Testing Sanity Testing Compatibility Testing Installation & Upgrade Testing Localization Testing Accessibility Testing Network Interruption Testing Push Notification Testing Mobile Automation Appium Espresso (Android) XCUITest (iOS) Selenium WebDriver (Hybrid Apps) Programming Languages: Java Python JavaScript C# Automation Frameworks: TestNG JUnit PyTest Cucumber (BDD) Framework Design: Page Object Model (POM) Data-Driven Framework Hybrid Framework Mobile Platforms Android Android Studio ADB (Android Debug Bridge) APK Installation Logcat Emulator Testing iOS Xcode Simulator IPA Installation TestFlight iOS Provisioning API Testing REST API Testing Postman REST Assured JSON Validation XML Validation Database Testing SQL MySQL PostgreSQL Oracle SQL Server Knowledge of: CRUD Operations Data Validation SQL Joins CI/CD & DevOps Jenkins Git GitHub GitLab Azure DevOps Maven Gradle Docker Responsibilities: Integrate Appium automation into CI/CD pipelines. Schedule automated mobile regression testing. Publish automation reports. Cloud Device Testing Experience with: BrowserStack Sauce Labs LambdaTest Firebase Test Lab AWS Device Farm Performance Testing Preferred knowledge of: JMeter Android Profiler Xcode Instruments Battery Usage Analysis Memory Leak Detection CPU Usage Monitoring Security Testing Basic understanding of: OWASP Mobile Security Authentication Testing Data Encryption Secure Storage Validation Certificate Pinning Reporting & Defect Management Tools: JIRA Azure DevOps Bugzilla ALM/Quality Center Reporting: Extent Reports Allure Reports TestNG Reports Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 2 6 years of experience in mobile application testing. Experience in both Android and iOS platforms. Strong knowledge of Agile/Scrum methodologies. Experience in mobile automation using Appium. Nice to Have Skills Flutter app testing React Native testing Kotlin basics Swift basics Performance testing using JMeter API Automation Playwright or Selenium Firebase Mobile Analytics AI-assisted testing tools Sample Project Responsibilities Automate Android and iOS application testing using Appium. Validate mobile application functionality across different devices and OS versions. Perform API validation for mobile backend services. Execute regression suites in Jenkins. Verify push notifications, offline mode, and network switching scenarios. Test application installation, upgrades, and uninstallation. Perform performance and battery usage testing. Sample Mobile Automation Framework Framework Components Appium Mobile automation Java Programming language TestNG Test execution Maven Build management Page Object Model (POM) Maintainable page classes Extent Reports Test reporting Log4j Logging Git Version control Jenkins CI/CD integration Execution Flow Jenkins triggers the automation suite. Maven downloads dependencies. TestNG executes Appium test cases. Appium communicates with Android/iOS devices or emulators. Test scripts validate UI and functionality. Reports are generated and published. Results are shared with the QA team. Interview Questions Mobile Testing What is mobile application testing? Explain the difference between Android and iOS testing. What types of mobile testing have you performed? How do you test an application on multiple devices? Appium What is Appium? Explain the Appium architecture. What are Desired Capabilities? How do you locate mobile elements? What is the difference between native, hybrid, and mobile web applications? Automation Explain your Appium automation framework. How do you handle synchronization in mobile automation? How do you execute Appium tests in parallel? API & Database How do you validate mobile backend APIs? How do you perform database validation? CI/CD How do you integrate Appium automation with Jenkins? How do you execute mobile automation in a CI/CD pipeline? Scenario-Based How do you test push notifications? How do you test offline mode and network interruptions? How do you automate OTP verification in a mobile application? How do you test an application across different screen sizes and OS versions? Key Skills for Resume Mobile Testing Android Testing iOS Testing Appium Espresso XCUITest Java TestNG Selenium REST API Testing Postman SQL Jenkins Git Maven BrowserStack Firebase Test Lab AWS Device Farm JIRA Agile Testing Performance Testing Mobile Automation Framework CI/CD
10/31/2026
Full time
Job Description Job Description Mobile Test Engineer Job Description (JD) Job Title Mobile Test Engineer Job Summary We are seeking a skilled Mobile Test Engineer to ensure the quality, performance, usability, and security of Android and iOS mobile applications. The ideal candidate should have experience in manual and automation testing, mobile testing tools such as Appium, API testing, performance testing, and CI/CD integration. The role involves validating mobile applications across multiple devices, operating systems, and network conditions. Key Responsibilities Design, develop, and execute test plans and test cases for mobile applications. Perform manual and automated testing for Android and iOS applications. Develop and maintain mobile automation frameworks using Appium. Validate application functionality, usability, compatibility, performance, and security. Test application behavior across multiple devices, OS versions, and screen sizes. Execute regression, smoke, sanity, integration, and end-to-end testing. Perform API testing using Postman or REST Assured. Identify, report, and track defects using defect management tools. Integrate mobile automation with CI/CD pipelines. Collaborate with developers, product managers, QA teams, and DevOps engineers. Prepare test reports and maintain testing documentation. Required Skills Mobile Testing Android Testing iOS Testing Mobile Application Testing Functional Testing Regression Testing Smoke Testing Sanity Testing Compatibility Testing Installation & Upgrade Testing Localization Testing Accessibility Testing Network Interruption Testing Push Notification Testing Mobile Automation Appium Espresso (Android) XCUITest (iOS) Selenium WebDriver (Hybrid Apps) Programming Languages: Java Python JavaScript C# Automation Frameworks: TestNG JUnit PyTest Cucumber (BDD) Framework Design: Page Object Model (POM) Data-Driven Framework Hybrid Framework Mobile Platforms Android Android Studio ADB (Android Debug Bridge) APK Installation Logcat Emulator Testing iOS Xcode Simulator IPA Installation TestFlight iOS Provisioning API Testing REST API Testing Postman REST Assured JSON Validation XML Validation Database Testing SQL MySQL PostgreSQL Oracle SQL Server Knowledge of: CRUD Operations Data Validation SQL Joins CI/CD & DevOps Jenkins Git GitHub GitLab Azure DevOps Maven Gradle Docker Responsibilities: Integrate Appium automation into CI/CD pipelines. Schedule automated mobile regression testing. Publish automation reports. Cloud Device Testing Experience with: BrowserStack Sauce Labs LambdaTest Firebase Test Lab AWS Device Farm Performance Testing Preferred knowledge of: JMeter Android Profiler Xcode Instruments Battery Usage Analysis Memory Leak Detection CPU Usage Monitoring Security Testing Basic understanding of: OWASP Mobile Security Authentication Testing Data Encryption Secure Storage Validation Certificate Pinning Reporting & Defect Management Tools: JIRA Azure DevOps Bugzilla ALM/Quality Center Reporting: Extent Reports Allure Reports TestNG Reports Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 2 6 years of experience in mobile application testing. Experience in both Android and iOS platforms. Strong knowledge of Agile/Scrum methodologies. Experience in mobile automation using Appium. Nice to Have Skills Flutter app testing React Native testing Kotlin basics Swift basics Performance testing using JMeter API Automation Playwright or Selenium Firebase Mobile Analytics AI-assisted testing tools Sample Project Responsibilities Automate Android and iOS application testing using Appium. Validate mobile application functionality across different devices and OS versions. Perform API validation for mobile backend services. Execute regression suites in Jenkins. Verify push notifications, offline mode, and network switching scenarios. Test application installation, upgrades, and uninstallation. Perform performance and battery usage testing. Sample Mobile Automation Framework Framework Components Appium Mobile automation Java Programming language TestNG Test execution Maven Build management Page Object Model (POM) Maintainable page classes Extent Reports Test reporting Log4j Logging Git Version control Jenkins CI/CD integration Execution Flow Jenkins triggers the automation suite. Maven downloads dependencies. TestNG executes Appium test cases. Appium communicates with Android/iOS devices or emulators. Test scripts validate UI and functionality. Reports are generated and published. Results are shared with the QA team. Interview Questions Mobile Testing What is mobile application testing? Explain the difference between Android and iOS testing. What types of mobile testing have you performed? How do you test an application on multiple devices? Appium What is Appium? Explain the Appium architecture. What are Desired Capabilities? How do you locate mobile elements? What is the difference between native, hybrid, and mobile web applications? Automation Explain your Appium automation framework. How do you handle synchronization in mobile automation? How do you execute Appium tests in parallel? API & Database How do you validate mobile backend APIs? How do you perform database validation? CI/CD How do you integrate Appium automation with Jenkins? How do you execute mobile automation in a CI/CD pipeline? Scenario-Based How do you test push notifications? How do you test offline mode and network interruptions? How do you automate OTP verification in a mobile application? How do you test an application across different screen sizes and OS versions? Key Skills for Resume Mobile Testing Android Testing iOS Testing Appium Espresso XCUITest Java TestNG Selenium REST API Testing Postman SQL Jenkins Git Maven BrowserStack Firebase Test Lab AWS Device Farm JIRA Agile Testing Performance Testing Mobile Automation Framework CI/CD
Job Description Job Description Senior Cloud Security Specialist Washington, DC - 100% Onsite Per Federal contract U.S. citizenship is required Must be able to obtain Public Trust clearance W2 or C2C Application Deadline: Sept 15th We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division at the Board of Governors of the Federal Reserve. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: • Required Experience: o Minimum 5 years hands-on AWS security experience • Personnel Qualifications o AWS Certified Security - Specialty (strongly preferred) o AWS Certified Solutions Architect - Professional or Associate • Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. • Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 • Possess deep analytical, problem-solving, and troubleshooting experience, to • independently resolve complex security challenges. • Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. • Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. • Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) • Self-motivated and able to work independently • Strong attention to detail The Consultant shall deliver, but not limited to, the following: • Conduct regular security reviews of cloud infrastructure deployed by engineering teams • Evaluate infrastructure-as-code against security standards • Review and validate compliance with security policies and best practices • Assess adherence to AWS Well-Architected Framework security pillar • Identify and document security misconfigurations and non-compliant controls • Develop and maintain security posture dashboards • Create or update security configuration guides and playbooks • Offer technical consultation to engineering teams on secure implementation • Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. • Develop and update AWS security configuration standards • Conduct security training sessions for engineering teams • Present findings and recommendations in team meetings • Identify opportunities to automate security assessments • Recommend security tooling improvements Ref:
10/31/2026
Full time
Job Description Job Description Senior Cloud Security Specialist Washington, DC - 100% Onsite Per Federal contract U.S. citizenship is required Must be able to obtain Public Trust clearance W2 or C2C Application Deadline: Sept 15th We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division at the Board of Governors of the Federal Reserve. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: • Required Experience: o Minimum 5 years hands-on AWS security experience • Personnel Qualifications o AWS Certified Security - Specialty (strongly preferred) o AWS Certified Solutions Architect - Professional or Associate • Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. • Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 • Possess deep analytical, problem-solving, and troubleshooting experience, to • independently resolve complex security challenges. • Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. • Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. • Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) • Self-motivated and able to work independently • Strong attention to detail The Consultant shall deliver, but not limited to, the following: • Conduct regular security reviews of cloud infrastructure deployed by engineering teams • Evaluate infrastructure-as-code against security standards • Review and validate compliance with security policies and best practices • Assess adherence to AWS Well-Architected Framework security pillar • Identify and document security misconfigurations and non-compliant controls • Develop and maintain security posture dashboards • Create or update security configuration guides and playbooks • Offer technical consultation to engineering teams on secure implementation • Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. • Develop and update AWS security configuration standards • Conduct security training sessions for engineering teams • Present findings and recommendations in team meetings • Identify opportunities to automate security assessments • Recommend security tooling improvements Ref:
Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or a related field. 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.
10/31/2026
Full time
Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or a related field. 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.
