710 jobs found

Job Description Job Description Job Title: Senior Cloud Security Architect Location: Birmingham, AL, Columbia, SC, Knoxville, TN or Lafayette, LA Type: Fulltime Responsibilities The architect will work with product owners, enterprise architecture, engineering, and security teams to protect sensitive data, strengthen identity and access controls, secure cloud environments, and support compliance with enterprise policies and industry standards. The role requires strong AWS expertise and the ability to lead multiple security initiatives across IaaS, SaaS, and internally developed applications. Requirements Extensive experience with security architecture and threat modeling for complex enterprise applications Strong knowledge of STRIDE, attack trees, abuse cases, data flow analysis, and trust boundary analysis Hands on experience evaluating security risks in AI, machine learning, and agentic AI applications Advanced AWS knowledge across IAM, networking, compute, storage, RDS, messaging, serverless, ECS/EKS, CI/CD, and AI/ML services Strong understanding of application security, API security, IAM, authentication, authorization, encryption, key management, and data protection Experience translating identified threats into practical security controls and remediation recommendations Knowledge of DevSecOps, pipeline security, container security, infrastructure security, SIEM, CSPM, and CWPP solutions Familiarity with security frameworks and standards such as NIST, OWASP, CIS, FedRAMP, ISO, and SOX Experience with resilient, highly available, API driven, stateless, and integrated cloud or SaaS environments Ability to lead multiple initiatives and communicate effectively with technical and business stakeholders This position is required in one of the following locations: Birmingham, AL, Columbia, SC, Knoxville, TN or Lafayette, LA Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or a related field Preferred certifications include CISSP, CCSP, AWS Professional or Specialty certifications, or equivalent credentials Ref: Pittsburgh

Job Description Job Description Labor Category / Position Title: IT Applications Solution Architect (Junior) / Cloud Security Engineer Skill Set Must possess at least 5 years of IT experience with broad knowledge and an understanding of IT areas such as: Architecture, Infrastructure setup, management, Operating Systems, Database, various types of Applications, Network, and Cloud implementations. Must possess at least 3 years of strong hands-on experience in Cloud infrastructure and applications Strong understanding of cloud infrastructure components (server, storage, network, security, data, and applications) to deliver end to end AWS cloud Infrastructure solutions. Implement AWS security controls and configurations under guidance from senior engineers. Monitor and respond to security alerts from GuardDuty, Security Hub, CloudWatch, and SIEM tools. Perform IAM administration including user, role, and permission management. Execute vulnerability remediation activities identified through AWS Inspector and security assessments. Support AWS compliance, audit, and security review activities. Assist with managing AWS Config rules, security policies, and governance controls. Maintain security documentation, standards, and operational procedures. Review cloud resources for compliance with established security baselines. Support incident response investigations and evidence collection. Participate in security monitoring, patching, and operational security tasks. Assist with infrastructure deployments using Terraform and CloudFormation. Working knowledge of AWS core services (EC2, S3, VPC, RDS, Lambda). Understanding of AWS IAM concepts and least-privilege access. Familiarity with AWS security services like IAM, Control Tower, Security Hub, Guard Duty, Config, CloudTrail, KMS, Secrets Manager etc , Basic knowledge of networking concepts, firewalls, and security groups. Experience with Linux administration and troubleshooting. Knowledge of security monitoring and alert investigation. Scripting experience with PowerShell, Python, or Bash. Understanding of vulnerability management and remediation processes. Ability to work independently as well as work well with others in an integrated team environment and must be self-motivated. Must possess strong communication and interpersonal skills, work well with others in an integrated team environment, and must be self-motivated Lumen and / or its clients will not provide equipment (Laptop, monitor, etc.) to the selected contractor. The contractor must have their own equipment. Access to a virtual desktop set up (software) will be provided by Lumen s client, allowing the user access to the required systems and technology. Lumen Solutions Group Inc. is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Job Description Job Description Job Title: EOIR Task Order Manager/Data Architect- EDI Location: Alexandria, VA Type: Contract Compensation: $175,000.00 - $185,000 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Must be able to obtain and maintain a DOJ Public Trust level security clearance Overview Responsibilities • Lead the planning, initiation, and management of the EOIR Enterprise Data Infrastructure (EDI) task order, serving as the primary liaison with the Contracting Officer and Contracting Officer Representative. • Supervise technical staff, ensuring timely delivery of all project milestones in accordance with scope and quality standards. • Develop and maintain key project documentation including the Task Order Management Plan, Quality Control Plan, Transition Plans, and Telework Management Plans. • Monitor project progress to meet deadlines, standards, and budget targets on a Firm-Fixed-Price contract. • Coordinate with department contract staff to provide fully integrated IT support for EOIR. • Lead a cross-functional team comprising data infrastructure, engineering, governance, analytics, search, cybersecurity, and quality professionals. • Design enterprise database system strategies and establish technical standards for data operations, development, and security across on-premises, cloud, and hybrid environments. • Design and construct data pipelines, ingestion processes (ETL/ELT), and data transformation rules, ensuring compliance with government standards. • Provide technical oversight and review for data architecture, pipelines, and workflows. • Lead integration of new systems with existing warehouse structures, focusing on system performance and continuous improvement. • Drive the delivery of analytics, reports, and dashboards using tools such as Microsoft Power BI. • Enhance enterprise search and unstructured data discovery capabilities while maintaining strict access controls per DOJ, FISMA, and FedRAMP security standards. • Lead data governance and quality management efforts, including metadata creation and data lineage documentation. • Conduct current-state assessments, identify gaps and risks, and develop mission-focused, cost-effective improvement roadmaps. Requirements • Bachelor's degree in Computer Science, Information Technology, Data Science, Systems Engineering, or a related discipline (Master's preferred). • Ability to obtain and maintain a DOJ Public Trust security clearance (active or recent high-level clearance preferred). • 8-10 years of experience in enterprise IT, with at least 5 years as a Data Architect, Data Engineer, or Enterprise Architect. • Minimum of 5 years managing IT projects and programs, with experience in Federal Firm-Fixed-Price contracts. • Proven experience in enterprise data architecture, standards, and documentation including data dictionaries, metadata, and lineage. • Demonstrated capability in dashboard/reporting development, data quality assessments, and enterprise search improvements. • Experience conducting current-state assessments and developing technical roadmaps. • PMP certification required. • Technical certifications such as CDMP, AWS Certified Data Engineer, Microsoft Certified Azure Data Engineer, or AWS/Azure Solutions Architect highly preferred. • Deep understanding of modern data ingestion techniques, data governance platforms, enterprise search technologies, and BI tools such as Microsoft Power BI. • Exceptional written and verbal communication skills, capable of translating technical concepts to non-technical stakeholders. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: July 2nd Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description 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 The Daily Wire is seeking a Principal Data Engineer to architect and build the systems connecting our subscribers, content, advertising, and digital products. This hands-on role will work across backend services, event-driven pipelines, cloud infrastructure, analytical models, and personalization systems to strengthen our data foundations and support AI-driven content discovery. The ideal candidate brings a strong software engineering background, deep expertise in data-intensive systems, and the ability to influence technical strategy across infrastructure, analytics, and product-facing platforms. Primary Responsibilities Architect and drive the long-term vision for Daily Wire's enterprise data ecosystem, including infrastructure, ingestion, storage, transformation, and real-time analytics. Lead the design and implementation of distributed systems, high-availability APIs, event streams, and real-time data pipelines. Build resilient, production-grade backend services and data workflows using Python or Go and advanced SQL. Design and scale Snowflake data warehouses and layered dbt models that transform complex operational data into reliable data products. Partner with product and analytics leaders to establish event schemas, tracking standards, and unified semantic layers. Architect and operate production machine-learning infrastructure, low-latency inference systems, and feedback loops that power content discovery and personalization. Establish architectural and operational standards for testing, observability, security, reliability, and cost efficiency. Provide technical leadership across AWS cloud infrastructure, containerized services, architecture reviews, code mentorship, and incident response. Experience & Requirements Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 10+ years of experience in software engineering, data engineering, analytics infrastructure, or data-intensive platform development. Advanced experience with Snowflake and dbt, including warehouse design, transformation architecture, testing, documentation, data lineage, query optimization, and cost governance. Proven experience building and operating enterprise-grade platforms on AWS, including SageMaker and Personalize. Hands-on experience with infrastructure as code, CI/CD pipelines, system observability, and production operations. Experience with streaming and messaging technologies such as Kafka, Segment, AWS Kinesis, Kinesis Data Firehose, or Apache Flink. Experience building pipelines that support machine-learning model training, serving, recommendation systems, and content personalization. Knowledge of event-time processing, windowing, checkpointing, and schema evolution. Experience creating analytics and reporting solutions using visualization tools such as Tableau. Experience with subscription media, streaming video, content discovery, payments, digital advertising, or high-growth consumer products is preferred. Exceptional problem-solving, debugging, written communication, and cross-functional collaboration skills. To learn more about Daily Wire, please visit the following Daily Wire Facebook and YouTube page links: Daily Wire Daily Wire Facebook Daily Wire YouTube Daily Wire X PragerU Daily Wire provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Please Note: Daily Wire participates in E-Verify and performs background checks on all new hires. We will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS), with information from each new employee's form I-9 to confirm work authorization. Thank you! CALIFORNIA APPLICANT PRIVACY NOTICE

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 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 Senior Cloud Security Specialist 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship Required Must be able to pass enhanced FBI background screening (criminal, financial and finger printing) for Public Trust clearance Performance Period: June 2026- Dec , with the possibility of multi-year extension based on performance W-2 or C2C Deadline to apply May 5th PROJECT DESCRIPTION: The IT Security Engineering team is seeking a Senior Cloud Security Specialist with deep expertise in AWS cloud services, cloud-native security tools and services. BACKGROUND: We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division. 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: Minimum 5 years hands-on AWS security experience Personnel Qualifications AWS Certified Security - Specialty (strongly preferred) 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 PLACE OF PERFORMANCE: On-site at FRB locations, Washington, DC CITIZEN STATUS: U.S. Citizenship is required per Federal Contract INTERVIEW: Selected candidates will participate in a phone screening. Those that pass the phone screening may be invited to an in-person interview. The use of video conference tools (e.g., MS Teams or WebEx) can be used in accordance with agency guidelines. Ref:

Job Description Job Description Indent : SF_OP_208618-1 Role : Data Architect Location : Purchase, NY (Hybrid) Rate: $75 to $80/hr The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Define and evolve Client's global data architecture strategy across hybrid cloud and on-premises environments. • Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements. • Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Enable both real time and batch analytics use cases to support high availability, mission critical workloads. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Deep expertise designing, building, and operating distributed data systems at global scale. • Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms. • Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Job Description Job Description Role: Network Architect Location: Bridgewater NJ or Plano, TX Fulltime - Salary ($150K PA) Don't stop profiles on salary Indent: PSL308526-15-1 Network Architect should focus on bringing the Best-in-Class Network Services that creates Business Value for our customers, a great personalized service experience for end users and build a work culture of innovation & collaboration to harness the potential of our employees and partners. Each Network Architect will also collaborate with the track leads and SDMs in the delivery organization and other groups like Presales, Sale within the Organization to ensure that service meets expected levels of service and that continual improvement and service excellence are core to the ways of working. Network Architect should have worked upon Merger and Acquisition projects. A Good knowledge of broad set of Network services (Routing and Switching (BGP, OSPF, VLANs, VRFs, MPLS), WAN technologies (MPLS, SD-WAN, VPN, QoS, VoIP) and Layer 2/3 network, Firewalls (Palo Alto, FortiGate, and Cisco ASA/FTD). Role Responsibilities: Lead and Support/Guide in RFP, Solution Defense, large scale Transition and Transformation Projects. Having UpToDate knowledge of the latest and niche technologies. Should have hands on experience on the technologies listed under Technical Skills Lead and mentor a team of Network specialists, providing guidance, coaching, and technical expertise. Working closely with Presales/Sales team on the opportunities of New and Existing projects. Working closely with delivery teams, implement standard best practice in target accounts to deliver consistent service delivery and exception customer satisfaction Build strong and lasting relationships with internal and external customers, and key delivery partners by meeting with them on a regular basis to listen to their needs and concerns, to discuss our service roadmaps and evangelise Persistent capability Align our Service Delivery process to meet the client business requirements on a continual basis & foster solution innovation to solve client issues Reduce the cost of delivery by standardization of Service Delivery processes and technology solutions Implement standard governance, reporting and escalation processes across responsible accounts Establish service offerings across: Enterprise Networking (LAN/WAN/Data Center) SD-WAN, SDN, Cloud Networking & Network Security For assigned projects ensure successful execution of Due Diligence and Transition to BAU Coach Track Leads and SMEs in assigned accounts focusing on both technical and management capabilities Produce High-Level Designs (HLD) and guide Low-Level Designs (LLD). Analyze existing architectures and recommend enhancements. Define and enforce architectural standards, patterns, and governance. Provide technical leadership throughout project lifecycle. Support roadmap creation for network & security evolution. Handle escalated network and security issues (Level 3 support). Perform root cause analysis for incidents and implement preventive measures. Engage with vendors for advanced technical escalations. Ensure compliance with security standards and conduct regular audits. Monitor and mitigate security threats in real-time. Validate and maintain EoL/EoS details along with active hardware support contracts Maintain network documentation (e.g., diagrams, policies, IP schema, etc.). Evaluate and recommend new technologies for performance and security improvements. Maintain up-to-date device configuration backups and IP address inventory using IPAM. Document architectural decisions and design justifications. Build strong relationships with: CIOs, IT Heads, and leadership stakeholders Drive: Customer satisfaction Service improvement plans Lead governance meetings: Weekly / Monthly reviews Executive updates Technical Skills: Network Infrastructure: Design, deploy, and troubleshoot enterprise-level routing and switching (BGP, OSPF, VLANs, VRFs, MPLS). Architect and govern high-availability solutions (redundant links, load-balancing, failover). Manage WAN technologies (MPLS, SD-WAN, VPN, QoS, VoIP) and Layer 2/3 networks. Configure and maintain Catalyst and Nexus switches for data center and enterprise environments including software upgrades (IOS/AOS-CX/NX-OS) Perform network audits and assessments ensuring compliance with architectural standards. Manage Data Center network technologies like Cisco Nexus, ACI, NSX-T, Load Balancer, Global/Private DNS, Infoblox etc. Manage & understanding of Network Monitoring & Observability tools like Solarwind, LogicMonitor, Splunk or Grafana etc. Firewall Administration: Configure and manage Palo Alto, FortiGate, and Cisco ASA/FTD firewalls. Implement advanced firewall rules, IPS/IDS, and VPN configurations and manage security logs using management software packages such as Palo Alto Panaroma, FortiManager and/or FortiAnalyzer. Implement & troubleshoot the issues on Palo Alto, Panaroma or Strata cloud, Prisma Access etc. Optimize firewall performance and perform policy audits. Network security modernization initiatives which include understanding the SASE, ZIA, ZPA & ZDX, Palo Alto Prisma Access etc. Wireless Solutions: Deploy and maintain Wireless networks using Cisco WLCs, Meraki Dashboard, Aruba Central and access-points (Must have). Implement, configure and operate Cisco Client/Aruba CPPM for secure network access control (NAC). Design wireless architectures ensuring scalability, coverage, and security posture. Cloud Networking: Expertise in hybrid cloud setups, cloud connectivity (e.g., AWS Direct Connect, Azure ExpressRoute), and cloud-native networking services across AWS/Azure/GCP, deal with On Prem to cloud migration activities. Automation: Knowledge of network automation tools such as Ansible, Terraform, Python scripting, and related frameworks. Additional Infrastructure Exposure: Understanding of virtualization (VMware), Citrix, M365, compute/storage, backups, datacenter technologies. Experience with F5 load balancers. Experience with business continuity, disaster recovery, and HA architectures. Qualifications/Experience: Any Graduation More than 15 years of experience in Network technology Certifications: CCNP, Fortinet NSE 4/5/6/7 (preferred), Aruba ACMP (preferred). Strong analytical and problem-solving skills. Excellent communication and documentation abilities. Ability to work independently or collaboratively under pressure. Ability to manage multiple projects with shifting priorities.

Job Description Job Description Role : Enterprise Data Architect Location : remote Rate : $80/hr Role Summary The Enterprise Data Architect is responsible for defining and evolving the Commonwealth's enterprise information architecture and reusable data products to support transformation and AI priorities. This role partners with business leaders, product and engineering teams and enterprise technology org to identify which information assets should be shared across agencies and which should remain domain specific. The position will define data domains, create data models, ensure data quality, map source to domain and assist in creating contracts to support modernization initiatives and future AI capabilities. The role serves as the bridge between business processes and technical implementation, ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos. The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and deep expertise in data-centric architecture. Key Responsibilities Enterprise Information Architecture Define conceptual and logical data models for common business entities. Establish canonical models and enterprise information standards. Define relationships between enterprise and domain-specific data assets. Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design. Modernization Programs Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs. Analyze legacy systems and identify information assets suitable for enterprise reuse. Prevent duplication of data structures across applications and agencies. Support data migration strategies and target-state architecture. Data Product Architecture Identify and support design of reusable data products Define schemas, interfaces, metadata and quality requirements Establish product boundaries, stewardship and ownership models. Data Governance and Metadata Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability Define business definitions and data quality expectations. Platform and Technology Collaboration Work with engineering and platform teams to translate business concepts into technical designs. Partner with cloud, integration and data teams to implement enterprise data products. Promote API-first and product-based approaches to information sharing. AI Enablement Ensure enterprise data products are discoverable, governed and suitable for future AI use cases. Support semantic layers, knowledge graphs and natural language access to enterprise information. Desired Background and Experience Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience Minimum 10 years of experience in data architecture, information architecture or enterprise architecture. 8 years of hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse/data marts, MDM concepts and tools At least 5 years of experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP). Experience working with unstructured data is a plus. Experience working with data security, privacy and regulatory requirements for handling sensitive data Experience in designing and implementing data quality initiatives, including platforms and tooling Demonstrable experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders Ability to work across domains and stakeholders with strong communication skills Proven ability to develop work plans for self, resolve ambiguity and lead teams without authority Industry Experience in Public sector, Healthcare or Financial Services is preferable Candidates may have previously served as Principal Architect, Enterprise Information Architect, Solution Architect for large enterprises or modernization initiatives Success Measures During the first year, this role will Establish enterprise information architecture principles. Define reusable enterprise data products for priority domains. Support specific modernization initiatives as a model implementation. Introduce metadata and ownership standards. Enable future modernization efforts to reuse common data assets rather than recreating them. Client the foundation for enterprise analytics and AI capabilities across the Commonwealth.

Job Description Job Description Job Title Mobile Automation Test Lead Technical/Functional Skills " Expertise in mobile testing for iOS and Android applications. " Strong experience with Appium, REST Assured, Postman, API Automation, and CI/CD pipelines. & Jmeter/loadrunner knowledge to guide Performance tester " Experience with AWS AppSync, API Gateway, GraphQL APIs, Spring Boot Microservices, DynamoDB, and Fargate. " Strong knowledge of performance, accessibility, security, and cloud-native testing practices. " Excellent stakeholder management, leadership, communication, and delivery governance skills. Experience Required 10 Years Roles & Responsibilities " Define and own the overall Test Strategy, Test Plan, Quality Governance Framework, and Release Readiness Criteria for the program. " Lead testing activities across native mobile applications, AWS AppSync/API Gateway services, Spring Boot microservices hosted on AWS Fargate, and enterprise integrations. " Leverage AI driven approach for automation to improve productivity, reduce timeline and cost of implementation. " Design and implement scalable automation frameworks for mobile, API, integration, and end-to-end testing using industry-leading tools and practices. " Establish quality gates within CI/CD pipelines and enable continuous testing as part of the DevSecOps lifecycle. " Drive functional, regression, integration, accessibility, performance, security, and disaster recovery testing activities. " Collaborate with Product Owners, Architects, Developers, UX teams, DevOps, Security, and business stakeholders to ensure quality objectives are met. " Manage test environments, test data, defect lifecycle, defect triage, and root cause analysis activities. " Publish test execution reports, defect metrics, quality dashboards, release risk assessments, and executive-level status reports. " Ensure compliance with enterprise standards including WCAG2Mobile accessibility, OWASP security guidelines, and non-functional requirements. " Lead QA automation teams, provide technical guidance, and drive continuous improvement initiatives to increase coverage and reduce release cycle duration. " Set the framework and support reviewing the automation scripts delivered by DEV and QA teams

Job Description Job Description Senior Cloud Security Architect As a Senior Cloud Security Architect, you will lead the strategic vision for protecting our multi-cloud ecosystem. You are responsible for designing the security blueprints that govern our entire digital footprint-from identity perimeters to AI-driven threat detection. This role requires a "Security as Code" mindset, where you build automated guardrails that empower developers to move at speed without compromising the safety of our data or infrastructure. Key Responsibilities • Security Architecture Vision: Lead the design of a global Zero Trust architecture, ensuring robust identity governance (IAM), network micro-segmentation, and data encryption across AWS, Azure, or GCP. • AI-Native Security Strategy: Architect specialized security frameworks for AI/ML pipelines, focusing on data privacy for training sets, model integrity, and securing LLM-integrated applications against emerging attack vectors. • Automated Guardrails (Policy as Code): Develop and enforce enterprise-wide security policies using Terraform, etc., ensuring that non-compliant infrastructure is automatically remediated or blocked from deployment. • Cloud Posture Management: Design and oversee the integration of CNAPP and CSPM tools to provide real-time visibility into misconfigurations, vulnerabilities, and excessive permissions. • Threat Modeling & Resilience: Conduct deep-dive threat modeling for complex cloud-native systems, simulating advanced persistent threats (APTs) and "blast radius" scenarios to strengthen system resilience. • Security Consultancy: Act as the lead security advisor for the Cloud Architecture team, bridging the gap between DevOps agility and rigorous regulatory compliance (SOC2). Technical Qualifications Category Security Platforms Requirements Mastery of cloud-native security suites (e.g., AWS Security Hub, Azure Defender, GCP Security Command Center). Category Identity & Access Requirements Expert knowledge of Identity-First Security, including CIEM, Just-In-Time (JIT) access, and complex OIDC/SAML flows. Category Automation Requirements Proficiency in Python, Go, or Bash to build custom security automations and integrate with SOAR platforms. Category DevSecOps Requirements Deep experience embedding automated security testing (SAST/DAST/SCA) directly into CI/CD pipelines. Category Cloud Networking Requirements Advanced understanding of secure connectivity, including SD-WAN, Cloud WAF, and Zero Trust Network Access (ZTNA). Preferred Experience • Experience: 12 years in Cybersecurity, with at least 6 years focused on architecting secure cloud environments at scale. • Certifications: Top-tier credentials. • Education: Advanced degree in Computer Science, Cybersecurity, or a related engineering field preferred. BS degree from an accredited College/University in the applicable field of services is required, or four additional years of relevant experience in lieu of a college degree. If the individual's degree is not in the applicable field then four additional years of related experience is required. • Soft Skills: Strong ability to bridge the gap between "Speed of DevOps" and "Rigors of Security" while communicating clearly with executive leadership • Leadership: Proven ability to influence technical roadmaps and present security risks clearly to C-suite stakeholders. Core Objectives • Zero Standing Privilege: Help Transition the organization to a "Zero Standing Privilege" model for all production environments. • Automated Compliance: Help Achieve automated auditing for core compliance frameworks (e.g., NIST, CIS Benchmarks). • Mean Time to Detect (MTTD): Utilize AI-driven monitoring to reduce the detection time of anomalous cloud activity to minimum Additional Provisions: • Pass a client mandated clearance process to include drug screening, criminal history check and credit check. • Once candidate's resume is approved and interview passed, the agency is responsible for providing drug screening. Failure to submit the drug screening results will delay the security clearance process. • If a candidate is given an interim clearance, continuation of employment is then based on the candidate receiving a sensitive clearance. • All candidates must be a US Citizen or permanent status Green Card holder. • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.) • All overtime must be pre-approved in writing by the client manager or his/her designated representative. • Agency will not be reimbursed for overtime charges without previous written authorization. Authorized overtime will be reimbursed at straight time. • The enforced dress code is business casual, i.e., collared shirt with slacks for men, no skirts above the knee for women. Prime Contract Number - 1BITCS-25-B-0009 For this position, there will be only one bill rate regardless of hours worked in a day and/or workweek. The North American Industry Classification System (NAICS) code for this acquisition is 561320. The small business size standard is $34 millionComments for Suppliers:Work will be remote with candidates located in Morrisville, NC; Falls Church, VA; or Eagan, MN given preference.

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Lead Cloud Security Engineer with a CISSP f or a contract assignment with one of our premier Regulatory clients. Must be local and willing to work hybrid in one of these offices: Tysons VA or Rockville MD. Initial contract length 6 months (probable extension). Certification requirements: CISSP AWS or Azure Architect Required Skills Strong AWS and Azure security experience 8 years of security experience 2 years in a Lead role (ideally current) CISSP non negotiable Cloud Architect certification in AWS or Azure Preferrred Skills GCP experience Responsibilities : Cloud security reviews and assessments Identify and remediate security/non-compliance issues Implement preventative security controls Drive security issues from a configuration/admin perspective Cloud networking changes and security remediation Larger security projects, including: AWS GuardDuty Azure networking/security Work autonomously and drive issues to resolution Ensure that security risks are comprehensively and effectively managed though leading the application of established and ad hoc processes and techniques to identify, validate, and prioritize. Lead the identification of security requirement deficiencies, eliciting of security requirements, and the architecture and design of security controls. Develop and implement strategies to promote consistent use of security controls across the enterprise. Lead the operation and monitoring of security controls. Establish, implement, and promote security control operation and monitoring strategies. Ensure that controls are operating effectively; resolve operating discrepancies. Review, triage, and prioritize control output. Take appropriate action to resolve security discrepancies. Lead the identification, evaluation, and recommendation of new security technologies, techniques, and tools. Lead team in defining, reviewing, and promoting information security policies, standards, guidelines, and procedures. Lead and champion efforts to enforce and monitor compliance with internal and external regulations, policies, and standards. Establish and promote strategies to ensure that compliance is effectively monitored and enforced. Direct internal process improvement initiatives. Provide feedback on processes by offering suggestions. Mentor junior staff. Participate in external process improvement committees as a Quality Assurance representative. Provide backup coverage for next level management, as appropriate. Assist with adherence to technology policies and comply with all security controls. Ensure all work products meets/exceeds the firm standards. Demonstration of the firm's values. Collaboration, both in-person and virtually, in furtherance of the firm's mission of investor protection and market integrity. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Job Description Indent : SF_OP_208618-1 Role : Principal Data Architect Location : Purchase, NY (Hybrid) Rate: $80 to $85/hr Experience : 15 The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Define and evolve Client's global data architecture strategy across hybrid cloud and on-premises environments. • Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements. • Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Enable both real time and batch analytics use cases to support high availability, mission critical workloads. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Deep expertise designing, building, and operating distributed data systems at global scale. • Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms. • Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

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 Snowflake Architect / Data Architect - Houston, TX Location: Houston, Texas (Onsite/Hybrid - Relocation considered) Employment Type: Full-time / Enterprise Data Platform Work Authorization: USC / GC / GC EAD / H4 EAD / L2 ONLY Experience: 8+ years in Data Engineering / Architecture Domain: Oil & Natural Gas Midstream Mandatory + GenAI About The Role We are seeking a Snowflake Architect / Data Architect to design, build, and scale a modern cloud data platform centered on Snowflake and AWS. You will be part of strategic data initiatives building trusted, reusable, governed data products that power analytics, AI, and business intelligence across the enterprise. This is a hands-on architecture + engineering role - not just modeling, but building pipelines, governance, and semantic layers at enterprise scale. This is an excellent opportunity for a hands-on Data Architect who understands that data engineering is not only about moving data, but about making data trusted, discoverable, governed, and meaningful. Key Responsibilities Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources Develop data ingestion and ELT processes using Informatica, aligning with enterprise standards Build transformation logic using dbt - modular models, testing, documentation, deployment workflows Design and manage data structures in Snowflake as the central strategic data platform - modeling, performance optimization, security, access controls Work with AWS data services: S3, Glue, Lambda, Athena, EMR, Redshift and cloud-based architectures Support data architecture using Iceberg managed tables - open table formats, interoperability, cataloging, governed access patterns Use Snowflake Catalog and Snowflake Horizon for metadata management, data discovery, governance, lineage, policy enforcement, trusted sharing Collaborate with data architects, governance teams, analysts, application teams, business stakeholders to define trusted data products Work with domain experts to understand business concepts, entities, relationships, terminology in Oil & Gas Midstream domain Support ontology-driven modeling: entity definitions, taxonomies, relationships, business glossaries, semantic mappings Translate business/domain concepts into logical data models, physical models, and reusable data products Implement data quality checks, validation rules, lineage, observability, and governance controls Support data products for analytics and AI-enabled use cases (e.g., asset intelligence, news intelligence) Ensure solutions meet enterprise requirements for security, privacy, access control, performance, reliability Must-Have Qualifications - Please Do Not Apply Without These Strong Snowflake Data Architecture experience - Data modeling, data warehouse/lakehouse design, performance optimization, security, access controls, enterprise-scale implementations Data Governance & Metadata Management expertise - Hands-on with data cataloging, metadata management, data lineage, data quality, governance frameworks, policy-driven access Understanding of Ontology & Semantic Modeling - taxonomies, business glossaries, semantic mappings, RDF/OWL/SHACL/SPARQL, knowledge graphs Working knowledge of AWS services: S3, Glue, Lambda, Athena, EMR, Redshift and cloud architectures Oil & Natural Gas Midstream domain experience (Mandatory) - pipeline, transportation, storage, LNG, natural gas, midstream operations data Claude AI / Generative AI experience (Mandatory) - Claude, LLM-based solutions, AI-ready data platforms, RAG architectures, GenAI implementations Stable work history - No job hoppers (consistent 2-4 year or 4+ year tenures preferred) Nice to Have / Preferred Experience with Snowflake Catalog and Snowflake Horizon Experience building governed data products for analytics, AI, or applications Enterprise governance tooling, especially Informatica governance RDF, OWL, SHACL, SPARQL, graph databases, knowledge graph platforms Semantic layers, business glossaries, metadata models, domain ontologies CI/CD, Git, automated testing, deployment workflows for data pipelines Data observability, lineage tracking, data contracts, data quality frameworks Technical Stack Snowflake AWS (S3, Glue, Lambda, Athena, EMR, Redshift) Iceberg Snowflake Catalog & Horizon Informatica dbt SQL Python Data Governance Ontology & Semantic Modeling Claude AI / GenAI / RAG Screening Questions for Candidates 1. What is your work authorization / visa status? (USC/GC/GCEAD/H4EAD/L2 only) 2. Do you have direct professional experience with Claude AI or LLM-based solutions in production? 3. Do you have working knowledge of AWS services including S3, Glue, Lambda, Athena, EMR, Redshift? (Yes/No) 4. Rate your Snowflake security and access controls experience: No experience / Basic RBAC / Hands-on enterprise policies / Expert-level design 5. Rate your data lineage and data quality management experience 6. Rate your GenAI and RAG architecture experience 7. Describe your tenure history - multiple 8. Describe your Oil & Gas Midstream domain experience - pipeline, transportation, storage, LNG? 9. Describe your Ontology & Semantic Modeling experience 10. Are you currently in Houston, TX or open to relocation?

Job Description Job Description Job Description Role: Snowflake Architect or Data Architect - Domain : Information technology (IT) Job Type : Full Time Location : Houston Experience : 12 - 18 Years Role Summary: We are looking for a Data Engineer to help design, build, and scale a modern cloud data platform centered on Snowflake and AWS. The ideal candidate has strong data engineering fundamentals, experience with enterprise data platforms, and the ability to work with ontologies, semantic models, metadata, and governed data products. Key Responsibilities: Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources. Develop data ingestion and extract-load processes using Informatica, aligning with enterprise standards and existing in-house capabilities. Build transformation logic using dbt, including modular models, testing, documentation, and deployment workflows. Design and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform. Work with AWS-based data services and infrastructure, supporting applications and data products running in the organization's AWS environment. Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns. Use Snowflake Catalog and Snowflake Horizon to support metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing. Collaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products. Work with domain experts to understand business concepts, entities, relationships, and terminology. Support ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings. Translate business and domain concepts into logical data models, physical data models, and reusable data products. Implement data quality checks, validation rules, lineage, observability, and governance controls. Support data products and applications such as news intelligence, asset intelligence, analytics, and AI-enabled use cases. Ensure data solutions meet enterprise requirements for security, privacy, access control, performance, and reliability. Must-Have Requirements: Strong Snowflake Data Architecture experience - Data modeling, data warehouse/lakehouse design, performance optimization, security, access controls, and enterprise-scale Snowflake implementations. Data Governance & Metadata Management expertise - Hands-on experience with data cataloging, metadata management, data lineage, data quality, governance frameworks, and policy-driven data access. Understanding of Ontology & Semantic Modeling. Working knowledge of AWS services such as S3, Glue, Lambda, Athena, EMR, Redshift, and cloud-based data architectures. Oil & Natural Gas Midstream domain experience (Mandatory) - Experience supporting pipeline, transportation, storage, LNG, natural gas, or other midstream operations and data environments. Claude AI / Generative AI experience (Mandatory) - Experience working with Claude, LLM-based solutions, AI-ready data platforms, RAG architectures, or GenAI implementations.