913 jobs found

Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: Data Architect- Wealth Management Location: Naperville, IL Type: Direct Hire Compensation: Open Work Model: Onsite Hours: 40.0 Security Clearance: N/A Responsibilities Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. Proven track record designing large scale data platforms on AWS. Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. Experience handling sensitive data with appropriate security, privacy, and compliance controls. Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). Databases: RDS, Aurora, DynamoDB. Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). Enterprise architecture framework experience (e.g., TOGAF). Experience with data cataloging and governance tools (e.g., Collibra, Alation). Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. Exposure to machine learning / advanced analytics enablement. Experience with data mesh or domain oriented data architecture. Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: Senior Data Engineer with DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities: Design and build scalable data pipelines aligned with business needs Process large dataset (batch + sometimes near Realtime) Ensure data quality, consistency, and governance standards across systems Support data integration and transformation efforts for analytics and reporting platforms Maintain data dictionaries, metadata, and documentation Participate in data architecture reviews and model validation processes Support analytics reporting and risk platforms. Required Qualifications 5+ years of experience in data engineering and big data processing Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing Experience working with structured and semi structured data, including complex transformations and performance tuning Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into 'curated data models' Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems Strong knowledge of SQL and data modeling concepts Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring) Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling Strong understanding of batch processing and batch job scheduling frameworks Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines Fundamentals in Linux and Networking Docker, OCP containerization / Kubernetes Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle Automate operational tasks using Python, Bash/Shell, and PowerShell Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK. Experience ensuring data quality, reliability, and compliance in regulated environments Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams Agile/Safe methodologies Must Have Skills Airflow Containerization DevOps Elastic Stack & Elasticsearch GitHub Hadoop Hive Jenkins JSON Web Token (JWT) Kubernetes OpenShift Oracle Python Shell Script SQLite Ref: Pittsburgh

Job Description Job Description Are you a Principal DevOps Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Principal DevOps Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Responsibilities: Develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, and requirements analysis and synthesis from system level to individual software components. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. Be a U.S. Citizen. Bachelor of Science Degree in Computer Science (or a related subject). 20+ years of experience. Works well independently as well as on a team. Strong communication skills. Flexible and motivated. Key Skills: Python. Experience in Gitlab and AWS. Experience using IAVA, STE, Postgresql, Pratetor, Ruby, Git and GitLab-ci. Applications: Elasticsearch with Machine Learning, Mattermost, Custom Authentication code, NGINX, Prometheus, Graphana, Kibana, pwick, TerraForm, Ansible and Docker. Architecture: Multiple Auto Scale groups, S3 curation, Snapshots across VPC, RDS, Elasticache, Network Load Balancers, Custom AMI and AWS. Location: Annapolis Junction, Maryland Salary Range: The salary range for this full-time position is $190,000 to $280,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: Medical, Dental, and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR 8mUFgDEoZ9

Job Description Job Description Principal DevOps Engineer Pittsburgh, PA (Onsite - 5 Days/Week), Strongsville/Cleveland, OH, Birmingham, AL, Pittsburgh, PA, Dallas/Farmers Branch, TX, Phoenix, AZ Contract Industry Banking / Financial Services Preferred Job Summary Seeking a highly experienced Software Engineer Principal to join the CI/CD Pipeline Engineering Team (Orange Rocket Initiative) supporting the enterprise-wide rollout of GitHub Enterprise. This role will focus on designing, developing, and optimizing production-grade CI/CD platforms, automation frameworks, reusable workflows, and deployment pipelines across large-scale enterprise environments. The ideal candidate will possess deep expertise in GitHub Actions, Jenkins, Kubernetes/OpenShift, Docker, Helm, and enterprise DevOps practices , with a strong software engineering background and experience driving modernization initiatives such as Jenkins-to-GitHub Actions migrations. Responsibilities Design, develop, and optimize enterprise CI/CD pipelines using GitHub Actions. Build reusable workflows, automation frameworks, and deployment pipelines. Integrate GitHub Actions with Jenkins, JFrog Artifactory, and other DevOps tools. Design and implement API integrations and automation solutions. Support CI/CD modernization initiatives, including Jenkins-to-GitHub Actions migrations. Deploy and manage containerized applications using Kubernetes/OpenShift and Helm. Develop and maintain Jenkins Shared Libraries using Groovy. Build and manage Docker images and containerized deployment strategies. Enhance platform performance, observability, reliability, and operational readiness. Collaborate with cross-functional engineering teams to improve deployment efficiency and developer productivity. Ensure security, scalability, governance, and best practices across enterprise DevOps platforms. Required Technical Skills CI/CD & DevOps Deep expertise with GitHub Actions in enterprise environments. Strong experience building and maintaining CI/CD pipelines . Experience integrating: GitHub Jenkins JFrog Artifactory Experience designing reusable workflows and automation frameworks. Strong understanding of enterprise DevOps practices including: Security Scalability Reliability Governance Source Control & SCM GitHub Bitbucket Azure DevOps Git-based development workflows Containerization & Cloud-Native Technologies Docker Kubernetes OpenShift Helm Dockerfile development Container image creation and management Development & Automation Jenkins Shared Libraries (Groovy) API Development & Integrations Automation Engineering Programming Languages Strong development experience in one or more of: Golang Python Java JavaScript Enterprise Experience Experience working in complex, large-scale production environments. Enterprise-wide platform implementation experience. CI/CD platform engineering and modernization expertise. Nice-to-Have Skills Agile/Scrum experience Monitoring & Observability Platforms Performance Optimization Scalability Engineering Operational Readiness Jira Confluence SharePoint Soft Skills Strong communication and presentation skills Excellent analytical and troubleshooting abilities Strong problem-solving mindset Self-motivated and proactive Quick learner with adaptability to new technologies Ability to work effectively in cross-functional enterprise teams Education Bachelor's Degree or equivalent professional experience Screening Questions Can you describe a GitHub Actions framework or platform you designed for multiple teams? How did you handle reusability, scalability, governance, secrets management, and permissions? Tell me about a migration or integration you led involving Jenkins and GitHub Actions. What challenges did you face with shared libraries, pipeline parity, performance, or security, and how did you address them? How have you improved the performance, observability, or reliability of a CI/CD platform at scale? What metrics, tools, or architectural improvements did you implement? Preferred Candidate Profile 10-15+ years of Software Engineering and DevOps experience. Deep GitHub Actions expertise in enterprise environments. Strong Kubernetes/OpenShift deployment experience using Helm. Proven Jenkins-to-GitHub modernization experience. Strong software development background. Experience building scalable, secure enterprise CI/CD platforms. Banking or Financial Services experience preferred. - KB1 Ref: Pittsburgh

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 Job Title: Platform Engineer (DevOps) Location: Salt Lake City, UT Work Mode : 5 Days Onsite Duration : Contract to Hire Responsibilities • Design, build, and optimize enterprise CI/CD pipelines using GitHub Actions and other modern DevOps platforms • Administer enterprise Source Code Management (SCM) repositories, implementing branching strategies, release management, version control, and code integration best practices • Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage cloud and hybrid infrastructure • Build, deploy, and support cloud-native microservices and RESTful APIs that power platform services and engineering automation • Deploy, configure, and manage containerized applications using Docker, Kubernetes (GKE), and Helm • Design reusable platform components, automation frameworks, engineering utilities, and integrations that improve developer productivity and operational efficiency • Champion DevSecOps principles by embedding security, compliance, governance, and quality controls throughout the software development lifecycle • Implement enterprise monitoring, logging, and observability solutions using Splunk, AppDynamics, and comparable platforms to improve system health, reliability, and operational visibility • Design, deploy, and support scalable cloud infrastructure on Google Cloud Platform (preferred) or AWS using cloud engineering best practices • Troubleshoot complex platform, infrastructure, networking, and deployment issues while driving continuous platform improvements • Partner with software engineers, cloud architects, infrastructure teams, and client stakeholders to deliver reliable enterprise platform solutions • Create and maintain technical documentation including platform architecture, deployment standards, engineering playbooks, and operational procedures • Mentor fellow engineers by promoting automation, engineering best practices, knowledge sharing, and continuous improvement Requirements • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline • 3+ years of experience as a Platform Engineer, DevOps Engineer, SRE, Cloud Engineer, Pipeline Engineer, or in a similar role • Strong programming and automation experience using Java, Python, TypeScript, JavaScript, Groovy, Bash, YAML, Perl, or Ruby • Experience developing microservices, RESTful APIs, and build automation using Maven and Gradle • Strong expertise with Git and modern Source Code Management practices, including branching strategies, release management, pull request workflows, and CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, or GitLab CI/CD • Hands-on experience deploying and managing containerized applications using Docker, Kubernetes (GKE), Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or similar • Experience implementing Infrastructure as Code (IaC) using Terraform, with familiarity in tools like Ansible, Puppet, or Chef • Knowledge of cloud-native infrastructure deployment on Google Cloud Platform (preferred) or AWS • Working knowledge of Linux and Windows operating systems supporting enterprise applications • Experience with enterprise monitoring, logging, and observability tools such as Splunk, AppDynamics, Prometheus, ELK/OpenSearch, or similar • Familiarity with relational and NoSQL databases including SQL Server, MySQL, PostgreSQL, MongoDB, and tools like Liquibase • Experience working within Agile methodologies including Scrum, Kanban, or SAFe • Excellent analytical, troubleshooting, communication, and collaboration skills • Passion for automation, continuous improvement, platform engineering, and enterprise solutions Preferred Qualifications • Supporting enterprise cloud migrations and platform modernization projects • Knowledge of security automation, policy-as-code, secrets management, and DevSecOps toolings • Implementing GitOps methodologies with Argo CD or Flux • Certifications such as Google Cloud Professional, Kubernetes (CKA/CKAD), Terraform, AWS, or similar • Supporting high-availability, mission-critical enterprise environments • Consulting experience with enterprise clients and cross-functional teams Ref: Pittsburgh

Job Description Job Description Job Description We are seeking a DevOps / Cloud Engineer to design, operate, and scale critical data infrastructure and platform services supporting enterprise applications and development teams. This role focuses on maintaining high-availability distributed systems, enabling secure and automated deployments, and supporting data platforms such as Elasticsearch and MongoDB at scale. The ideal candidate has strong infrastructure engineering experience, a background supporting development teams, and hands-on expertise with scripting, automation, and production-grade system operations. Duties Responsibilities: • Manage, maintain, and optimize distributed data platforms including Elasticsearch clusters and MongoDB replica sets • Support scalability, performance tuning, upgrades, and reliability of production data systems • Design and implement infrastructure automation and deployment solutions using DevSecOps practices • Support software development teams by providing reliable CI/CD pipelines, environments, and operational tooling • Develop automation and operational scripts using Bash and Python • Monitor system health, performance, and availability across cloud and on-prem environments • Support system configuration, troubleshooting, and incident resolution for production services • Collaborate with engineering teams to ensure scalable and secure system design • Work with structured data formats (including JSON) across services and integrations • Contribute to system security, compliance, and architecture alignment with organizational standards , Required Skills Requirements: • 7+ years of overall IT experience across system administration, software engineering, or DevSecOps engineering • 2+ years of experience managing Elasticsearch clusters, MongoDB replica sets, or similar distributed data systems • 3+ years of experience supporting software development teams and production environments • 2+ years of experience with scripting in Bash and Python • Strong experience working with distributed systems, cloud infrastructure, and automation tools • Experience operating in production environments with focus on reliability and performance , Desired Skills Preferred Qualifications: • 15+ years of overall IT experience across systems, engineering, or DevSecOps roles • 5+ years of experience in a DevSecOps, Cloud Engineering, or Platform Engineering role • Hands-on experience managing, upgrading, and scaling Elasticsearch clusters • Experience with Elasticsearch index design, query optimization, and performance tuning • Experience migrating Elasticsearch data across different sharding strategies • Experience with MongoDB replication, sharding, and cluster architecture design • Strong experience working with JSON-based data structures and APIs • Experience with infrastructure automation tools such as CloudFormation, Jenkins, and Git-based workflows • Familiarity with AI-based or ML-enabled infrastructure solutions • Experience supporting Authorization Accreditation (AA) processes or compliance environments • Strong understanding of distributed system design, scalability, and cloud architecture , Additional Details What we offer: • Flexible time off • Full medical coverage • 401(k) with company match • Referral bonuses • Performance bonuses • Life insurance and disability coverage • Tuition and training reimbursement , About BOAB Ventures BOAB Ventures is a premier recruiting firm specializing in connecting top-tier talent with major corporations. With a focus on cleared positions and corporate roles, we excel in identifying and placing highly skilled professionals in industries where precision, expertise, and discretion are paramount. Our commitment to excellence ensures that both employers and candidates find the perfect match to achieve their goals.

Job Description Job Description Job Description Mobile Baseband Software Engineer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: Mobile Baseband Software Engineer (Computer Scientist, Level 2 or Level 3) Location: Columbia, MD (on-site) Category: Software Development / Mobile Baseband / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $150,000 - $205,000 (annualized USD) Experience Requirement: Level 2: 5+ years with a Bachelor's degree, OR 3+ years with a Master's degree, OR Level 3: 10+ years with a Bachelor's degree, OR 8+ years with a Master's degree At least 3 years of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are looking for an experienced Baseband team member to support the development of new and existing capabilities on mobile platforms. You'll work close to the metal - combining strong C programming skills with reverse engineering across diverse architectures to extend baseband capabilities and analyze how mobile devices behave at the protocol and platform level. This is hands-on, deeply technical work in a small team where your contributions directly shape the capability roadmap. Responsibilities Design and develop new baseband-related capabilities and extend existing ones. Perform analysis and reverse engineering of mobile devices and baseband components across multiple architectures. Write production-grade C code targeting constrained and embedded environments. Investigate device and protocol behavior, document findings, and turn them into actionable engineering work. Collaborate with subject matter experts, fellow developers, and end users on requirements, prototypes, and refinements. Contribute to code reviews, technical documentation, and design discussions. Skills Requirements Experience supporting development on or analysis of mobile devices. Strong proficiency in C programming. Reverse engineering experience across diverse architectures (e.g., ARM, MIPS, x86). Comfort working in Linux-based development environments. Familiarity with low-level debugging, embedded toolchains, and platform internals. Strong written and verbal communication skills. Nice to Haves Experience with vulnerability research. Experience with cellular/baseband protocols (LTE, 5G NR, etc.). Familiarity with firmware extraction and analysis. Experience with exploit development. Familiarity with Ghidra, IDA Pro, or radare2. Atlassian Tools (Jira, Confluence) and Git/GitLab workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $150,000 - $205,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

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 Job Description As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project. Responsibilities: - Integrate data with tools such as Amazon S3, MongoDB, Apache Spark, and Elasticsearch, ensuring seamless data movement and processing. - Optimize NiFi cluster architecture, performance tuning, and strategize data pipelines. - Design, implement, and troubleshoot dataflows using Apache NiFi, including working with processors, connections, and templates. - Deploy and managing NiFi in cloud environments (e.g., AWS, Azure, GCP) and using cloud-native tools for data processing. - Facilitate infrastructure management, continuous integration, environment configuration and deployment as well as supporting the project's compliance and security posture. - Focus on delivering the automation that enables all the other teams to operate smoothly. Experience tracking work through JIRA workflows. , Required Skills Must have at least 1 of these qualifications - Linux system administration (Centos7, RedHat8) - Experience with administering a NiFi cluster - Experience with Docker - Experience with Terraform code - Configuring, deploying and administrating NiFi and associated NiFi flows - Proficiency in Apache NiFi: Hands-on experience designing, implementing, and troubleshooting dataflows using Apache NiFi, including working with processors, connections, and templates. - Expertise in NiFi Expression Language: Strong understanding of leveraging NiFi Expression Language to create dynamic and efficient dataflows. - Data Integration and Big Data Tools: Experience integrating data with tools such as Amazon S3, MongoDB, Apache Spark, and Elasticsearch, ensuring seamless data movement and processing. - Performance Optimization: Knowledge of NiFi cluster architecture, performance tuning, and strategies for -optimizing high-throughput data pipelines. - Cloud Integration: Expertise in deploying and managing NiFi in cloud environments (e.g., AWS, Azure, GCP) and using cloud-native tools for data processing. - Scripting and Automation: Proficiency in scripting languages like Python, Groovy, or Bash to extend NiFi capabilities and automate workflows. , Desired Skills - Cloud hosting and automation - Experience working in Agile environment , Additional Details This Position requires a TS/SCI clearance with an NSA FS Poly. Company Overview: Vetegrity is an employee-focused small business, founded in 2008. We are passionate about supporting the missions of the Intelligence Community and the Department of Defense. As a Service-Disabled, Veteran-Owned Small Business, we pride ourselves on our commitment to excellence and integrity in everything we do. We offer competitive compensation and benefits to include: - Medical/Dental/Vision - 20 Days of Paid Time Off (PTO) + Federal Holidays - 401k with Employer Match - Profit Sharing - Tuition Reimbursement - Flex Spending Account - Life Insurance, Long Short-Term Disability - Pet Adoption Reimbursement - Annual Physical Fitness/Wellness Allowance - Supplemental Insurance - Employee Referral Program - Performance Incentives - On-The-Spot Rewards - Other company-sponsored perks include after-hours events, logo apparel, holiday parties, and more! Vetegrity 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. , About Vetegrity We're always on the lookout for mission-driven individuals who want to work with purpose, grow with grit, and thrive as part of a team that values integrity above all else. Whether you're a seasoned professional or just launching your career, Vetegrity offers opportunities to contribute to meaningful work and be part of a company that listens, supports, and invests in its people. Browse our open roles below and find the one that fits your journey.

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 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 Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are hiring a DevOps Engineer to design, automate, and scale cloud-native infrastructure supporting enterprise-grade applications. This role will own Kubernetes environments, CI/CD pipelines, and cloud platform operations in Google Cloud Platform (GCP). The ideal candidate brings strong automation discipline and experience operating production-grade distributed systems. Responsibilities Design, deploy, and operate Kubernetes clusters in production environments Build and maintain CI/CD pipelines to support secure and repeatable deployments Implement and manage service mesh architectures using Istio Administer and optimize Google Cloud Platform infrastructure Integrate Jira workflows into development and release processes Monitor, troubleshoot, and improve reliability, performance, and security Collaborate with engineering teams to implement infrastructure as code and automation standards Additional duties as required Minimum Requirements 3 years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering 2 years of hands-on Kubernetes administration in production environments 2 years of experience building and maintaining CI/CD pipelines 2 years of experience with Google Cloud Platform (GCP) 2 years of experience implementing and managing Istio service mesh Experience administering Jira for engineering workflow management Preferred Qualifications Experience with Infrastructure as Code tools (Terraform or similar) Experience with container security and vulnerability management Experience supporting microservices-based architectures Google Cloud Professional certification Experience operating highly available distributed systems About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $120,000 - $140,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at . Visit our website at to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Mobile Developer Hybrid in Vienna, VA, Winchester, VA, Pensacola, FL, or San Diego, CA Long Term Contract W2 & C2C Options Description To support the development, maintenance, and enhancement of the organization's mobile banking applications across iOS and Android platforms. Mobile Developers are embedded within cross-functional Agile teams and play a critical role in delivering secure, reliable, and user-friendly digital experiences to millions of members. This role involves technical execution, platform advocacy, and collaboration across disciplines to ensure high-quality mobile solutions aligned with business goals and member needs. Responsibilities • Design, develop, and maintain mobile banking features for iOS and/or Android platforms • Resolve production issues and contribute to platform stability and performance improvements • Collaborate with cross-functional Agile teams including front-end, back-end, and product stakeholders • Participate in Agile ceremonies and contribute to sprint planning and backlog refinement • Ensure adherence to platform-specific development standards and best practices • Write and maintain unit and UI tests; participate in peer code reviews • Stay current with mobile OS updates, development trends, and emerging technologies • Advocate for platform excellence and contribute to reusable component libraries • Mentor junior developers and contribute to team knowledge sharing • Support enterprise-wide mobile initiatives and influence platform strategy (senior levels) Qualifications • Bachelors degree in Computer Science or related field • Progressive experience in mobile application development (level-dependent) • Proficiency in: - iOS: Swift, Objective-C, Xcode - Android: Kotlin, Java, Android Studio • Experience integrating RESTful APIs and third-party libraries • Familiarity with Agile methodologies (SAFe preferred) • Strong analytical, debugging, and problem-solving skills • Effective communication and collaboration abilities • Desired: Experience with CI/CD pipelines, mobile accessibility standards, and performance optimization Career Levels Associate Mobile Developer (Level 1) Focus: Learning and foundational contribution Technical Responsibilities: • Build small features and bug fixes under guidance • Participate in Agile ceremonies and code reviews • Learn platform tools and development practices • Pair with senior developers for mentorship Soft Skills: • Curiosity • Adaptability • Clear communication • Team collaboration Mobile Developer (Level 2) Focus: Independent contribution and platform ownership Technical Responsibilities: • Own moderately complex features and bug fixes • Represent mobile platform within Agile team • Collaborate with designers, analysts, and product owners • Begin mentoring junior developers Soft Skills: • Accountability • Cross-functional communication • Proactive problem-solving Senior Mobile Developer (Level 3) Focus: Technical leadership and cross-team collaboration Technical Responsibilities: • Lead development of complex features and platform initiatives • Influence architecture and reusable components • Mentor junior developers and drive platform standards • Represent mobile in cross-team efforts Soft Skills: • Leadership • Strategic thinking • Coaching • Platform advocacy Principal Mobile Developer (Level 4) Focus: Vision-setting and enterprise-level influence Technical Responsibilities: • Define mobile platform strategy across release trains • Lead enterprise-wide mobile initiatives and innovation • Introduce new tools, frameworks, and practices • Advocate for mobile excellence across the organization Soft Skills: • Visionary leadership • Change management • Thought leadership • Enterprise collaboration Ref:

Description: GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. Requirements: U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI25919baac5-

Job Description Job Description Company Description At Brightspeed, we are reimagining how people live, work, play and connect by providing fast, reliable internet connections and an awesome customer experience in twenty states throughout the Midwest and South. Backed by funds managed by Apollo Global Management, our vision is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience. Be a part of the team that will make this vision a reality .designing and building a world class fiber network and creating a customer experience second to none. Check us out on the web! Job Description Brightspeed has an exciting opportunity for a Principal Network Architect for Transport to join our growing team. As Principal Network Architect, you will be responsible for the development of tactical and strategic solutions that deliver on the corporate vision while establishing architecture standards. As a Network Architect for Transport, you will be responsible for the engineering, design, deployment, optimization, and lifecycle support of Brightspeed's optical and packet transport infrastructure. You will work closely with Network Architecture, Lab, Planning, Operations, Field Engineering, vendors, and other technical teams to ensure the transport network provides the capacity, resiliency, performance, and reliability required to support Brightspeed's broadband, voice, Ethernet, and enterprise services. As Principal Network Architect you will have the following responsibilities: Serve as a technical Subject Matter Expert (SME) for optical and packet transport technologies, including DWDM, OTN, ROADM, Ethernet, and high-capacity wavelength services. Support metro, regional, and backbone transport networks supporting broadband, voice, enterprise, mobile backhaul, and network infrastructure connectivity. Support transport platforms and technologies from vendors such as Ciena, Nokia, Cisco, Fujitsu, Infinera, Ribbon, and other strategic Brightspeed suppliers. Develop detailed engineering packages, bills of material (BOMs), equipment configurations, fiber assignments, port assignments, rack requirements, and implementation documentation. Work closely with Network Planning and Architecture to translate network strategy and capacity requirements into executable transport engineering designs. Partner with Operations, Field Engineering, and implementation teams to ensure transport solutions can be successfully deployed, commissioned, monitored, and supported. Provide technical support for complex transport network incidents, chronic network issues, performance degradation, and escalations. Assist Operations with troubleshooting optical impairments, high loss, degraded wavelengths, equipment failures, fiber-related issues, and transport network alarms. Support network migrations, equipment replacements, capacity augments, technology upgrades, network grooming, and legacy platform retirement initiatives. Develop and maintain transport engineering standards, design guidelines, approved configurations, and operational best practices. Evaluate new transport technologies, platforms, optics, and software releases through technical analysis, lab testing, Proof of Concept (POC), and field validation. Work with Network Architecture and the Brightspeed lab to validate new transport platforms, optics, configurations, and network designs before production deployment. Participate in vendor technical reviews and evaluate proposed solutions for technical compliance, interoperability, scalability, reliability, and lifecycle considerations. Identify technical risks and develop mitigation strategies associated with capacity, fiber availability, equipment lifecycle, interoperability, resiliency, and network performance. Create and maintain network engineering and operations documentation of guidelines and configurations. Provide technical guidance and recommendations to Network Planning, Architecture, Operations, Product, and leadership regarding transport network requirements and investment priorities. Continually assess the existing transport environment and identify opportunities to improve capacity, reliability, operational efficiency, scalability, and cost effectiveness. Qualifications WHAT IT TAKES TO CATCH OUR EYE: Bachelor's degree in Electrical Engineering, Telecommunications, Computer Engineering, Computer Science, or a related technical discipline; equivalent telecommunications experience may be considered. 15+ years of telecommunications network engineering experience, with significant experience in optical or packet transport networks. Strong working knowledge of DWDM, CWDM, OTN, ROADM, Ethernet, MPLS, and carrier-grade transport technologies. Experience engineering and supporting carrier-class optical platforms, preferably including Ciena 6500, Nokia GX, Fujitsu 9500, or comparable transport systems. Experience with metro, regional, long-haul, and backbone transport network architectures. Experience developing detailed network engineering documentation, including diagrams, equipment requirements, port assignments, fiber assignments, BOMs, implementation packages, and Methods of Procedure (MOPs). Experience with fiber characterization and optical test equipment such as OTDRs, optical power meters, spectrum analyzers, and Ethernet/transport test sets. Familiarity with test platforms from vendors such as VIAVI, EXFO, Spirent, or Equivalent. Experience identifying potential design, capacity, performance, resiliency, interoperability, and support risks and developing appropriate mitigation strategies. Strong troubleshooting and analytical skills with the ability to isolate complex issues across fiber, optical, transport, Ethernet, and packet layers. Understanding of telecommunications facilities, including racks, power, grounding, fiber distribution, patch panels, DC power systems, and environmental requirements. Strong troubleshooting and analytical skills with the ability to isolate complex issues across fiber, optical, transport, Ethernet, and packet layers. BONUS POINTS FOR: Master's Degree Telecom/Cable/Internet Service Provider industry experience Additional Information WHY JOIN US? We aspire to contemporary ways of working. Recognized as a Top Workplace by the Charlotte Observer, Brightspeed HQ is located on the 7th floor of the new Vantage South End - East Tower in Charlotte, NC. We prioritize hiring talent in the Charlotte area, whenever possible, to make it a truly vibrant destination for our hybrid workforce. At Brightspeed, we have roles that are designated as remote, hybrid, office or field-based, depending on the position, business needs and individual circumstances. We also invest in technology that enables our entire team to stay connected. Why? Because Brightspeed recognizes the value of finding the best talent for the job, wherever they may be. We offer competitive compensation and comprehensive benefits. Our benefits and paid time off programs reflect our underlying belief in promoting overall wellness through physical, emotional and financial health. Brightspeed offers a comprehensive benefit program, including competitive medical, dental, vision, and life insurance; an employee assistance program; a 401K plan with company match and a host of voluntary benefits. Inclusion and belonging are at the center of our grounding belief in Being Real . When we bring our authentic selves to work, everyone is better as a result. A diverse team helps us be fierce advocates for more accessible, inclusive and high-quality internet, because we believe doing so promotes equity in the communities we serve. Brightspeed is an Equal Opportunity Employer that is committed to inclusion of all qualified individuals, including individuals with a disability/veterans. If you require reasonable accommodation to complete a job application or to otherwise participate in the hiring process, please contact to initiate the accommodations process. For all applicants, please take a moment to review our Privacy Notices: Brightspeed's Privacy Notice for California Residents Brightspeed's Privacy Notice

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