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Job Description Job Description Join Sky Solutions, LLC - Pioneering Digital Transformation Excellence! Sky Solutions is a trusted partner in government contracting, empowering federal agencies with cutting-edge IT solutions. Our expertise spans AI-first enablement, delivering innovative solutions and advanced cybersecurity, fortifying digital ecosystems against emerging threats and digital transformation through low-code/no-code development, cloud solutions, and agile methodologies. We simplify complex processes and deliver breakthrough results for federal clients across healthcare, financial services, and national security. Job Title : DevSecOps Engineer Location : Tysons Corner, VA Duration : Fulltime Job Summary We are seeking an experienced DevSecOps Engineer to support the development, deployment, automation, security, and continuous delivery of applications within a mission-critical Centers for Medicare & Medicaid Services (CMS) federal healthcare program. The DevSecOps Engineer will work closely with software developers, QA engineers, architects, cloud engineers, security teams, and program stakeholders to implement automated CI/CD pipelines, cloud-native deployments, infrastructure automation, security controls, monitoring, and operational improvements. The ideal candidate will have hands-on experience supporting enterprise applications in cloud environments and integrating security throughout the software development lifecycle. Key Responsibilities Design, implement, maintain, and optimize CI/CD pipelines supporting application development, testing, security validation, and deployment. Automate build, deployment, configuration, testing, and operational processes across development, test, staging, and production environments. Support deployment and management of containerized applications using Docker . Implement and maintain DevSecOps practices that integrate security throughout the software development lifecycle. Collaborate with development teams to integrate code quality, security scanning, vulnerability management, and automated testing into CI/CD pipelines. Support cloud-native application deployments and infrastructure within AWS environments. Work with development and architecture teams supporting microservices-based applications and REST APIs . Implement automated deployment strategies and promote repeatable, reliable, and consistent environment configuration. Monitor application and infrastructure health, performance, availability, and deployment activity. Troubleshoot build, deployment, infrastructure, integration, and environment-related issues. Support release management, deployment coordination, rollback procedures, and production-readiness activities. Implement logging, monitoring, alerting, and operational dashboards to improve system observability. Collaborate with security and compliance teams to implement required security controls and address vulnerabilities. Support automated security and quality checks using tools such as SonarQube and other appropriate DevSecOps tools. Maintain technical documentation covering deployment processes, CI/CD pipelines, environment configurations, operational procedures, and troubleshooting. Participate in Agile ceremonies and collaborate with Scrum Masters, Product Owners, developers, QA engineers, architects, and other technical stakeholders. Identify opportunities to improve automation, deployment efficiency, system reliability, security, and overall engineering productivity. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience. 5+ years of experience in DevOps, DevSecOps, cloud engineering, release engineering, or software engineering . Hands-on experience designing and maintaining CI/CD pipelines . Strong experience with Docker and containerized application deployments . Experience with AWS cloud services and cloud-native application environments . Experience supporting microservices architectures and REST-based applications . Strong understanding of software development lifecycle, build management, deployment automation, and release management. Experience integrating automated testing, code quality, and security checks into CI/CD pipelines. Experience troubleshooting application deployments, build failures, infrastructure issues, and environment-related problems. Strong understanding of version control systems and collaborative software development practices. Strong analytical, troubleshooting, communication, and problem-solving skills. Experience working in Agile/Scrum development environments. Preferred Qualifications Experience supporting federal government or healthcare technology programs . Experience working with CMS, Medicare, Medicaid, or Program Integrity environments. Experience implementing DevSecOps practices within highly regulated or security-sensitive environments. Experience with Java/Spring Boot enterprise applications. Experience with Maven and Java application build processes. Experience with SonarQube and automated code quality analysis. Experience with automated security, vulnerability, and dependency scanning tools. Experience with Kubernetes or OpenShift container orchestration platforms. Experience with infrastructure-as-code and configuration management tools. Experience with AWS S3, IAM/STS, and other AWS services . Experience with centralized logging, monitoring, and application observability. Experience supporting high-volume enterprise applications and distributed systems. DevSecOps, AWS, Kubernetes, or related professional certifications are a plus. Work Environment This position will work as part of a multidisciplinary technology team supporting the development, modernization, deployment, and operation of enterprise applications within the CMS federal healthcare environment . The role will collaborate closely with development, QA, architecture, security, cloud, and program teams to support secure and reliable software delivery. The environment includes cloud-native AWS architecture, Docker-based containerization, microservices, REST APIs, automated quality controls, and DevSecOps practices . Compensation : The expected compensation range for this position is $100,000 - $160,000 annually. Compensation is determined in good faith and may vary based on job-related factors, including relevant experience, skills, education, certifications, clearance level, labor category alignment, contract requirements, work location, internal equity, and business needs. The posted range reflects the Sky's reasonable estimate at the time of posting and does not guarantee a specific salary or rate. Final compensation will be determined based on the selected candidate's qualifications and applicable contractual and business considerations. Sky Solutions Benefits & Culture at a Glance Healthcare & Wellness Medical, dental, and vision coverage tailored to your needs. Supplemental options like life insurance, disability, HSA/FSA available. Time Off & Work-Life Balance Starting at 15 PTO days per year, increasing with tenure. Plus 11 paid holidays to recharge and spend time with loved ones. Professional Growth & Development Annual education stipend. Access to thousands of online courses. Formal mentorship programs for career advancement. Inclusive Culture "One Team" mentality focused on collaboration and belonging. Recognized as a Great Place to Work for six years straight. To learn more about life at Sky Solutions, visit our Careers page: Careers - Sky Solutions At Sky Solutions, LLC, we welcome applications from all qualified candidates who share our vision and values.

Job Description Job Description Principal DevOps Engineer Remote, USA The company is the country's largest lending-exclusive financial company, proudly serving millions of customers with safe, affordable and transparent installment loans. Our customers turn to us every day-online and at 1,500 branches in 44 states to help them take control and improve their financial lives with solutions for debt consolidation, medical expenses, household bills, home improvements and auto purchases. Our talented and dedicated team members constantly look for responsible ways to serve our customers when, where and how they want. It's all about doing the right thing-a mission that hasn't changed for more than 100 years. Note: MUST be legally authorized to work in the United States. POSITION SUMMARY The Principal DevOps Engineer is a senior technical leader responsible for defining, driving, and governing enterprise DevOps and Platform Engineering strategies across multiple business units. This role partners closely with Enterprise Architects, Application Development, Infrastructure, Security, Cloud Engineering, and Operations teams to build scalable, secure, and automated platforms that accelerate software delivery while improving reliability, governance, and operational excellence. The Principal DevOps Engineer serves as a Subject Matter Expert (SME) and technical evangelist, establishing enterprise standards, reference architectures, and engineering best practices that improve developer productivity, platform consistency, and deployment efficiency. The role provides technical leadership for cloud-native platforms, Infrastructure as Code (IaC), CI/CD, automation, observability, and security integration. The Principal DevOps Engineer serves as a Subject Matter Expert (SME) and technical evangelist, establishing enterprise standards, reference architectures, and engineering best practices that improve developer productivity, platform consistency, and deployment efficiency. The role provides technical leadership for cloud-native platforms, Infrastructure as Code (IaC), CI/CD, automation, observability, and security integration. KEY RESPONSIBILITIES Enterprise DevOps Leadership Define and execute the enterprise DevOps and Platform Engineering strategy aligned with business and technology objectives. Lead technical initiatives spanning multiple projects, portfolios, and Lines of Business (LOBs). Partner with Enterprise Architecture to define platform standards, reusable architectures, and technology roadmaps. Drive adoption of modern engineering practices across development, operations, and infrastructure teams. Provide technical leadership during enterprise transformation initiatives. Platform Engineering Design and implement scalable, highly available, and self-service DevOps platforms. Develop reusable platform capabilities that accelerate application onboarding. Standardize CI/CD pipelines, deployment strategies, and release automation. Improve developer experience through automation and self-service capabilities. Establish reusable platform templates, golden paths, and engineering standards. DevOps Automation Design enterprise CI/CD frameworks supporting multiple application technologies. Automate infrastructure provisioning using Infrastructure as Code (IaC). Standardize configuration management and deployment automation. Drive continuous improvement through automation and operational efficiency. Reduce manual operational activities through scripting and orchestration. Cloud Engineering Architect cloud-native deployment patterns across AWS, Azure, and hybrid environments. Implement container platforms and Kubernetes-based solutions. Optimize cloud infrastructure for availability, scalability, performance, and cost. Establish enterprise landing zones and cloud governance standards. Security & Compliance Integrate security into CI/CD pipelines using DevSecOps practices. Ensure platforms comply with enterprise security, regulatory, and governance requirements. Implement automated security scanning, vulnerability management, secrets management, and policy enforcement. Collaborate with Security teams to improve compliance automation. Reliability & Operations Design highly available and resilient deployment architectures. Improve system observability through logging, monitoring, alerting, and tracing. Drive operational excellence using Site Reliability Engineering (SRE) principles. Define platform SLAs, SLOs, and operational metrics. Architecture & Governance Establish DevOps design patterns, engineering standards, and best practices. Review solution architectures for scalability, reliability, security, and maintainability. Mentor senior engineers and provide technical guidance across engineering teams. Evaluate emerging technologies and recommend enterprise adoption. EXPERIENCE At least 12+ years of experience in Infrastructure, Cloud, DevOps, or Platform Engineering. At least 7+ years of designing and implementing enterprise DevOps platforms. Minimum of 5+ years leading enterprise-wide DevOps or Platform Engineering initiatives. Hands-on experience with AWS and/or Azure cloud platforms. Experience designing and implementing Kubernetes/OpenShift platforms. Proven experience implementing enterprise CI/CD, Infrastructure as Code, and DevSecOps practices. Strong background in automation, cloud architecture, and platform modernization. Experience mentoring engineering teams and influencing technical direction across multiple organizations. KEY SKILLS Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3, and IAM. Experience with Git. Enable our data development team to deliver new code daily through Continuous Integration and Deployment Pipelines. Build data infrastructure related to end-to-end data factory platform using Terraform and related technologies. ADDITIONAL INFORMATION Remote candidates considered. FTE conversion is a possibility. For conversion consideration, candidates must live within 50 miles of an approved OneMain corporate office. Candidates must live within 50 miles of a OneMain Corporate Office in Charlotte NC, Irving TX, Other OMF corporate office locations. We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities. Req153-1

Job Description Role : AI Architect Skills : AI/ML Models and Algorithms and Expertise in Data Architecture Experience: 12+ years Location : Chicago, Illinois, USA We at Coforge are hiring an AI Architect with following skill-set: Key Responsibilities: Lead the design and implementation of end-to-end AI systems. Take foundational models from existing platforms and fine-tune them with data to achieve specific outcomes. Lead the implementation of best practices for deploying and serving various types of AI models. Provide expertise in ML practices, CI/CD pipelines, and infrastructure to automate the deployment, versioning, and lifecycle management. Architect and deploy AI solutions on AWS and other major cloud platforms, with a hands-on emphasis on using cloud-native services for computation, storage, and networking. Utilize exceptional proficiency in Python and other relevant languages to build high-performance, production-ready AI services and tools. Performance Tuning: Design and implement monitoring and alerting solutions to evaluate model performance, data drift, and system health in production. Lead and mentor a team of engineers, guiding architectural decisions, ensuring code quality through rigorous code reviews, and establishing best practices for development. Required Skills & Expertise: Proven experience in developing data and services in an enterprise and/or cloud environment. Good experience with GenAI. Lead the Architecture and Design. Translate Business Needs/ QE needs into AI Solutions. Design and Implement AI/ML Models and Algorithms. Expertise in Data Architecture. Deep understanding of AI systems, model governance, and risk frameworks. Proficiency in relevant technologies and languages such as Databricks, Azure data services, Oracle, Postgres, SQL Server, SQL, Java, Python, Scala. Strong working knowledge of data engineering technologies, data modelling tools, and ETL strategies. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

Job Description Information Technology Infrastructure Manager Multiple U.S. Locations Commerce City, Colorado New Kensington, Pennsylvania Rock Hill, South Carolina Wilmington, Massachusetts Rochester, New York Position Overview Seeking an experienced IT / OT Infrastructure Manager to lead enterprise infrastructure, cybersecurity, and technical operations across a multi-site advanced manufacturing organization. This hands-on leadership role combines infrastructure architecture, team development, and operational oversight, with a focus on system reliability, security compliance, and continuous improvement. The ideal candidate brings deep enterprise infrastructure expertise, proven leadership experience, and the ability to support complex manufacturing and regulated environments. What You'll Lead Infrastructure Strategy & Architecture Lead the design, implementation, and ongoing improvement of enterprise infrastructure across multiple locations. Review and approve infrastructure architecture, technical designs, standards, and modernization plans. Oversee servers, storage, virtualization, networking, cloud platforms, identity services, endpoints, and enterprise applications. Lead infrastructure projects from planning and design through testing, implementation, and operational support. Balance day-to-day operational requirements with long-term reliability, scalability, security, and business growth. Team Leadership & Development Lead, coach, and develop infrastructure engineers and technical support personnel. Establish team priorities, performance expectations, operational metrics, and accountability standards. Provide technical direction and serve as an escalation point for complex infrastructure issues. Mentor team members, strengthen technical capabilities, and build a culture of ownership and service excellence. Infrastructure Operations & Reliability Oversee infrastructure operations, monitoring, maintenance, patching, and service delivery. Lead critical incident response, root-cause analysis, and corrective action plans. Strengthen backup, disaster recovery, business continuity, and infrastructure lifecycle management. Use KPIs and operational data to identify performance gaps, enforce standards, and drive continuous improvement. Standardize processes, SOPs, work instructions, runbooks, and technical documentation across locations. Cybersecurity & Compliance Incorporate security requirements into infrastructure architecture, access controls, and operational procedures. Support cybersecurity and compliance requirements involving CMMC, Microsoft GCC High, Controlled Unclassified Information (CUI), AWS GovCloud, FedRAMP, or comparable regulated environments. Partner with security teams to remediate vulnerabilities, reduce infrastructure risk, and strengthen control effectiveness. Maintain security policies, architecture documentation, recovery procedures, and compliance records. IT / OT & Business Operations Partner with manufacturing, engineering, cybersecurity, and business leaders to align infrastructure with operational needs. Support secure, reliable technology across corporate, engineering, and manufacturing environments. Manage infrastructure planning, budgets, forecasts, vendors, and technology investments. Identify opportunities for automation, analytics, and AI tools to improve efficiency and service delivery. Technical Environment Servers & Virtualization: Microsoft Server, VMware, Hyper-V, physical and virtual infrastructure, storage, backup, and disaster recovery. Cloud Platforms: Microsoft Azure, AWS, Google Cloud, hybrid cloud, and multi-cloud environments. Identity & Collaboration: Active Directory, DNS, DHCP, certificates, Microsoft 365, Exchange, SharePoint, Teams, and OneDrive. Endpoint Management & Security: Intune, Microsoft Defender, MFA, Windows, macOS, mobile devices, application deployment, patching, and asset management. Networking: Firewalls, switches, routers, wireless access points, cabling, Fortinet platforms, and multi-site connectivity. Enterprise Infrastructure: Multi-domain, multi-forest, and multi-tenant environments, monitoring, automated remediation, and data center operations. Manufacturing Technology: IT / OT infrastructure, production environments, and engineering systems. Required Qualifications Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent practical experience. 7+ years of experience designing, building, supporting, and troubleshooting enterprise infrastructure. 5+ years of experience leading and managing infrastructure teams. Strong hands-on expertise across enterprise infrastructure, including servers, storage, networking, virtualization, cloud, identity, and endpoint services. Experience balancing operational support with infrastructure architecture, modernization, and long-term technology planning. Experience with cybersecurity practices and regulated environments, including CMMC, GCC High, CUI, AWS GovCloud, FedRAMP , or comparable compliance requirements. Experience developing, reviewing, or approving infrastructure architecture, technical standards, policies, runbooks, and procedures. Familiarity with ITIL principles and incident, problem, change, and service management processes. Strong troubleshooting, communication, leadership, and stakeholder-management skills. Ability to mentor technical teams, lead complex escalations, and use performance metrics to drive accountability and improvement. Preferred Qualifications Experience supporting advanced manufacturing, aerospace, defense, or other complex industrial environments. Working knowledge of Lean Manufacturing principles and continuous improvement. Familiarity with OT networks and production technology environments. Experience supporting CAD platforms and engineering environments. Current certifications in infrastructure, cloud, networking, or cybersecurity. Experience using automation, analytics, or AI tools to improve IT operations. Compensation & Locations Base salary: $100,000-$171,000 , depending on location, experience, and qualifications, plus incentive eligibility, employee ownership, and comprehensive benefits. Apply Today If you bring strong enterprise infrastructure expertise, proven technical leadership, and the ability to strengthen infrastructure reliability and security across a complex organization, apply today to be considered for this opportunity.

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: 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 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: 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 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: Senior Windows Server / Cloud DevOps Engineer Location: Onsite Washington, District Of Columbia Work Model: Onsite - onsite Responsibilities Own Windows Server production operations (day one), providing hands-on support for mission-critical applications hosted in government cloud (AWS GovCloud). Administer, troubleshoot, patch, harden, and recover Windows Server systems to maintain availability. Take ownership of Kubernetes environment (EKS), operating and troubleshooting production workloads independently. Lead incident response activities, conducting root-cause analysis across Windows, cloud, and container platforms. Design, implement, and maintain secure, scalable cloud architectures across Windows and Linux systems, either independently or leading small teams. Develop and manage Infrastructure as Code using Terraform and Ansible to automate environment provisioning and configuration. Create and maintain CI/CD pipelines and DevSecOps automation aligned with industry standards. Design and implement monitoring, logging, and alerting solutions to ensure system availability and performance. Enforce security best practices, including identity management and system hardening for federal environments. Produce technical documentation, runbooks, and SOPs; mentor junior and mid-level engineers; provide technical leadership in DevOps practices. Requirements Strong, current experience with Windows Server operations - including support, troubleshooting, maintenance, and patching. Hands-on expertise in Kubernetes (EKS), capable of independent operation and troubleshooting in a production environment. At least 10 years of relevant IT/engineering experience, with 3+ years supporting cloud engineering environments. Experience with AWS GovCloud. Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's may substitute for experience. Ability to work independently in complex, secure environments with strong analytical and troubleshooting skills. Excellent written and verbal communication skills, with demonstrated technical leadership and mentoring abilities. Ability to obtain and maintain a Federal Public Trust (or higher) clearance; active clearance preferred. Willingness and ability to participate in a production on-call rotation. Preferred skills include PowerShell scripting, Microsoft/Windows certifications, Terraform, Ansible, Kubernetes security, and experience with FISMA, NIST, and FedRAMP frameworks. Cloud certifications like AWS DevOps Engineer are a plus. Additional familiarity with PKI, identity services, scripting in Python and Bash, and supporting large enterprise systems is advantageous. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

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

Job Description Job Description 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 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: 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 Description: Are you an experienced DevOps or Platform Engineer who enjoys building cloud-native platforms, automating software deployments, and ensuring production systems remain secure, reliable, and scalable? Do you have hands-on experience designing CI/CD pipelines, deploying applications to Kubernetes, and implementing GitOps automation? Opportunity Virtual Service Operations (VSO) is seeking an experienced Senior DevOps / Platform Engineer to support a high-visibility enterprise technology modernization initiative. This initiative focuses on developing foundational platforms and services that enable secure data connectivity, interoperability, API integration, and emerging AI capabilities across a large, complex enterprise environment. The project involves building a shared platform that allows applications, services, and data systems to securely connect through standardized APIs and modern integration technologies, including Model Context Protocol (MCP). In this role, you will design, build, automate, and operate the deployment and operations foundation for a cloud-native enterprise platform. You will take ownership of CI/CD automation, container builds and deployments, GitOps workflows, infrastructure provisioning, observability, and disaster recovery capabilities. The initial phase focuses on delivering a Minimum Viable Product (MVP), with opportunities to expand platform capabilities as adoption grows. This is a hands-on engineering position. We are looking for someone who has personally built and operated production cloud-native environments-not someone whose experience is limited to maintaining existing infrastructure or administering development tools. Key Responsibilities CI/CD Engineering & Deployment Automation Design, develop, implement, and maintain GitLab CI/CD pipelines supporting platform services from source code commit through production deployment. Automate software builds, testing, validation, packaging, and deployment processes. Build, scan, sign, and publish container images using Docker and associated container tooling. Develop standardized, repeatable deployment processes that improve reliability and reduce manual intervention. Collaborate with software development teams to integrate applications and shared services into automated delivery pipelines. Kubernetes & Container Platform Engineering Deploy, configure, and operate containerized applications in production Kubernetes environments. Use Helm or Kustomize to package, configure, and manage Kubernetes application deployments. Implement and maintain GitOps deployment workflows using Argo CD, Flux, or comparable technologies. Establish version-controlled infrastructure and application configurations. Support platform upgrades, environment consistency, and operational scalability. Engineer zero-downtime deployments using rolling updates, blue/green deployments, or canary release strategies. Develop and test reliable rollback procedures to minimize service disruption. Infrastructure as Code & Automation Design and implement infrastructure provisioning and configuration automation using Terraform, Ansible, or comparable Infrastructure as Code (IaC) tools. Develop reusable infrastructure configurations and deployment templates. Automate environment creation, configuration, and maintenance across development, testing, and production environments. Write and maintain Bash and Python scripts supporting platform operations and automation. Improve deployment efficiency, consistency, and security through automation. Monitoring, Observability & Reliability Design and implement observability solutions covering application and platform metrics, logs, traces, dashboards, and alerting. Configure and maintain monitoring tools such as Prometheus, Grafana, ELK/OpenSearch, Splunk, or comparable platforms. Establish monitoring and alerting processes to identify performance issues, service degradation, and potential failures. Troubleshoot platform reliability, deployment, and operational issues. Collaborate with engineering teams to improve system availability, performance, and operational resilience. Backup, Recovery & Platform Resilience Design, implement, and test backup and recovery procedures for platform services and supporting data stores. Establish and validate disaster recovery processes aligned with defined Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). Support backup, restoration, and recovery testing across platform environments. Contribute to operational documentation, runbooks, and platform recovery procedures. Identify opportunities to improve platform reliability, scalability, and recoverability. Security & Continuous Improvement Integrate security scanning and validation into automated build and deployment pipelines. Apply secure container build, image management, and deployment practices. Collaborate with cybersecurity and engineering teams to support security and compliance requirements. Contribute to platform architecture, operational standards, and technical documentation. Support the initial MVP implementation and future expansion of platform capabilities. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical field, or equivalent professional experience. Minimum of 3 years of hands-on experience building and operating production cloud-native platforms in DevOps, Site Reliability Engineering (SRE), or platform engineering roles. Demonstrated experience designing and building GitLab CI/CD pipelines, including automated build, test, and deployment workflows. Hands-on production experience with Docker and Kubernetes. Experience deploying and managing Kubernetes applications using Helm or Kustomize. Experience implementing GitOps workflows using Argo CD or Flux. Experience automating infrastructure provisioning and configuration using Terraform, Ansible, or comparable tools. Proficiency writing automation scripts using Bash and Python. Experience implementing or maintaining at least one production observability stack, such as Prometheus/Grafana, ELK/OpenSearch, Splunk, or comparable tools. Preferred Qualifications Experience with AWS cloud services, including Amazon Elastic Kubernetes Service (EKS). Experience implementing container supply-chain security practices, including vulnerability scanning, image signing, and Software Bills of Materials (SBOMs). Experience designing and implementing rolling, blue/green, or canary deployment strategies with automated rollback capabilities. Experience developing backup and disaster recovery processes for PostgreSQL, Redis, or comparable production data stores. Familiarity with Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). Experience with Site Reliability Engineering practices, including Service Level Objectives (SLOs), capacity planning, and reliability engineering. Experience operating multi-tenant cloud-native platforms. Familiarity with distributed tracing and advanced observability capabilities. Experience implementing DevSecOps practices in regulated or security-sensitive enterprise environments. Experience supporting enterprise modernization initiatives, shared services platforms, or large-scale cloud-native environments. Requirements: This is a fully remote position. Candidates must be able to work independently, communicate effectively, and collaborate successfully with team members in a virtual work environment. Bachelor's degree Minimum of 3 years of hands-on experience building and operating production cloud-native platforms in DevOps, Site Reliability Engineering (SRE), or platform engineering roles. New hires assigned on this project will be required to undergo and pass drug tests per our client's contract requirements Please note that this specific position requires U.S. citizenship status What is Important to Us: You are an excellent communicator in writing and speaking. You have the ability to work independently but also value teamwork. Your problem-solving skills are excellent. You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career. You seek a community of virtue-centered co-workers and clients. What we offer you: As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone . We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements. More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSO's success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at

Job Description Job Description Company Description Join SAP's senior engineering community, collaborating across product lines and mentoring teams to deliver secure, scalable cloud services worldwide. Job Description What you'll bring You're an experienced DevOps engineer with deep cloud infrastructure skills and the ability to take independent ownership of complex tooling challenges in an enterprise environment serving regulated industries. Deep proficiency with Infrastructure as Code tools, including Terraform and Ansible Strong knowledge of major public cloud providers - AWS, GCP, Azure, and OpenStack Kubernetes expertise, including experience containerising VM-based workloads Experience with scripting languages and cloud automation pipelines A degree in computer science, engineering, or a related field, or equivalent experience Fluency in written and spoken English is required for this role. Due to the potentially classified nature of our work, your willingness is required to subject yourself to a governmental security clearance process We also look for people who build trust naturally, communicate with clarity, keep the customer at the centre of what they do, and bring emotional intelligence and genuine problem-solving ability to the challenges they face. In addition to the skills and experience specific to this role, all positions at SAP require candidates who are comfortable using AI tools - including agentic AI - in their day-to-day work, from crafting effective inputs and automating routine tasks, to evaluating AI-generated outputs for quality and driving adoption of AI practices within their teams. What you'll build You will lead the design and implementation of infrastructure tooling for SAP Sovereign Cloud operations, working closely with product owners, architects, security engineers, and programme managers. Design and implement the infrastructure toolset essential to SAP Sovereign Cloud operations Lead proof-of-concept development and integrate tooling into productive environments Automate cloud delivery workflows and provisioning at scale using Infrastructure as Code Troubleshoot complex infrastructure issues and deliver sustainable resolutions Mentor junior engineers and support their technical development Collaborate with security and architecture teams to shape technical standards Where you belong Sovereign Cloud is a newly established business unit within SAP Product Engineering, built to unify SAP's Sovereign Cloud portfolio for Public Sector and regulated industries. The team works across all SAP board areas to create a harmonised, scalable delivery model. At this level, you will take independent ownership of engineering challenges and help shape the technical direction of the programme. This role involves up to 10% travel. What you'll bring You're a skilled DevOps engineer with deep cloud infrastructure skills and the ability to take self-directed ownership of complex tooling challenges in an enterprise environment serving regulated industries. Deep proficiency with Infrastructure as Code tools, including Terraform and Ansible Solid knowledge of major public cloud providers - AWS, GCP, Azure, and OpenStack KYou must have expertise in Kubernetes. This includes experience with converting workloads from virtual machines into containers. Experience with scripting languages and cloud automation pipelines A degree in computer science, engineering, or a related field, or equivalent experience Fluency in written and spoken English is required for this role. Due to the potentially classified nature of our work, your willingness is required to subject yourself to a governmental security clearance process We also look for people who build trust naturally, communicate with clarity, keep the customer at the centre of what they do, and bring expressive intelligence and genuine problem-solving ability to the challenges they face. In addition to the specific skills and experience for this role, all positions at SAP require candidates to be comfortable using AI tools. This includes using agentic AI in their daily work. Tasks may involve creating effective inputs, automating routine tasks, and checking the quality of AI-generated outputs. Candidates will also help promote AI practices within their teams. What you'll build You will lead the design and implementation of infrastructure tooling for SAP Sovereign Cloud operations, working closely with product owners, architects, security engineers, and programme managers. Design and implement the infrastructure toolset essential to SAP Sovereign Cloud operations Lead proof-of-concept development and integrate tooling into productive environments Automate cloud delivery workflows and provisioning at scale using Infrastructure as Code Troubleshoot complex infrastructure issues. Provide solutions that last. Mentor junior engineers and support their technical development Collaborate with security and architecture teams to shape technical standards Where you belong Sovereign Cloud is a newly established business unit within SAP Product Engineering, built to unify SAP's Sovereign Cloud portfolio for Public Sector and regulated industries. The team works across all SAP board areas to create a harmonised, scalable delivery model. At this level, you will take self-directed ownership of engineering challenges and help shape the technical direction of the programme. This role involves up to 10% travel. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Qualifications mastery of ML lifecycle automation, infrastructure design, and performance optimization. You evangelize MLOps principles and coach peers to adopt best practices. Additional Information About SAP With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people's lives. As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: . For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Compensation Range Transparency SAP believes pay transparency is essential to fostering an honest, supportive, and inclusive culture and is an important part of our commitment to pay equity. The salary range for this position is included in the job posting. The actual compensation offered to the successful candidate will fall within that range and will depend on factors such as education, skills, experience, location, and scope of the role, as determined through the selection process. Where applicable, SAP may also provide variable incentive opportunities and additional benefits, subject to the terms of the relevant plans and policies. Any variable incentive amount is target-based, with actual payouts dependent on company and individual performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process.

Job Description Job Description Position: DevOps Engineer IV Location: 241 Ralph McGill Blvd. Atlanta GA 30308 Duration: 1 Year Client: Southern Company Services Job Summary Southern Company Services is seeking a Senior DevOps Engineer with 5+ years of DevOps experience to design, implement, and support enterprise CI/CD automation, Azure DevOps, GitHub, and cloud platforms. This role will lead automation initiatives, optimize software delivery pipelines, and collaborate with development, infrastructure, security, and architecture teams to deliver scalable, secure, and reliable solutions. Key Responsibilities Administer and support Azure DevOps and GitHub platforms. Design, build, and optimize CI/CD pipelines for application and infrastructure deployments. Develop automation using PowerShell , Azure DevOps, and GitHub workflows. Manage repositories, branching strategies, permissions, and access controls. Troubleshoot pipeline failures, integrations, and deployment issues. Collaborate with development teams to implement DevOps best practices. Support cloud platforms, automation frameworks, and container technologies. Create technical documentation and improve deployment processes. Participate in Agile ceremonies and promote continuous improvement. Required Qualifications Bachelor's degree in Computer Science or related field. 5+ years of DevOps, CI/CD, or Infrastructure Automation experience. Strong experience with Azure DevOps, GitHub, PowerShell, CI/CD pipelines, and Azure Cloud. Experience with Git source control, automation, and cloud infrastructure. Strong troubleshooting, communication, and analytical skills. Experience working in Agile/Scrum environments. Preferred Qualifications Experience with AKS (Azure Kubernetes Service) and OpenShift. Knowledge of ARM Templates, Bicep, Azure Resource Groups, Key Vaults, and secure networking. Experience with DevOps architecture, enterprise automation, and release management. Agile certifications (Scrum Master, Product Owner, Agile Coach) are a plus. Preferred Skills Azure DevOps • GitHub • CI/CD • PowerShell • Azure Cloud • ARM Templates • Bicep • AKS • OpenShift • Git • DevOps • Kubernetes • Automation • Azure Key Vault • Agile • Scrum • Release Management • Infrastructure Automation

Job Description Job Description T-Rex Solutions is seeking a qualified Data Architect to support the 2028 Census Test program, an end-to-end dry run of the operations in preparation for the 2030 Decennial Census. During the test both the enterprise processes and data systems will be verified and fine-tuned to ensure the success of the large-scale national survey. Specifically relevant to this position, the solution will be a data-centric system with a data lake using Redshift on AWS at its core. This solution is expected to transform the processing within the system from what was historically a batch processing system to a more incremental one that processes individual responses as they are collected. Additionally, the Census Bureau intends to increase the usage of Administrative Data during this processing. As such, the data structures used within this data lake must be efficiently defined to maximize the flexibility for the potential use and addition of administrative data as well as facilitate incremental and large-scale statistical processing. Responsibilities: Hands-on design of the data architecture to be used within the Census Enterprise Data Lake for 2030 Census processing. This structure will compose data from 350+ million person records, 18-+ million address records, and other associated administrative data. Perform analysis on data workflow and detail requirements to map them into big data artifacts in Cloud environment Review the high-level design of the entire decennial data architecture across 50+ different enterprise systems Produce data architecture artifacts such as decennial-wise conceptual, logical, and lineage data models for both management and technical users Work with system owners to identify key data entities and relationships on the basis of business context Build data architecture prototypes to demonstrate the effectiveness and efficiency of the big data design approach Review Census data sets and conduct empirical studies as needed to build an optimal data infrastructure to support the mission Identify the complex relationships within various data sets and define corresponding data objects for incremental processing Frequently coordinate and collaborate with the various system teams and other contractors that will populate and use data via these structures to efficiently build the structures to facilitate their update, maintenance, ability to search, and ability to compare to administrative data for QA and other purposes. Frequently coordinate and collaborate with the various statistical organizations that will analyze this data to efficiently build the structures to facilitate this analysis. Coordination with the Census Bureau data architect to drive alignment with the Enterprise Master Data Model. Be in a highly visible position to work with client team closely to understand the business needs and identify the key solution areas. Provides technical/management leadership on major tasks or technology assignments. Establishes goals and plans that meet project objectives. Develop roadmaps and provide technical strategy directions for the development and delivery of a new enterprise data framework. Transform business requirements into data driven solutions including architectural design, component standardization, technical process flow, and cost-effective implementation approaches. Participate as needed in all aspects of software development with emphasis on the planning, analysis, design, integration, and presentation. Apply principles, design methods and data architecture knowledge to specific requirements in the context of a complex, large-scale enterprise data framework. Coordinate with senior management on project activities including business analysis, client collaboration, product provisions, and project staffing. Provide high-level support for system design, development, integration, and coordination. Requirements: 7+ years of experience developing data architecture and data engineering solutions at enterprise scale Bachelor's degree in Computer Science or related field Expertise in using Amazon Web Services (AWS) environment and/or other Cloud environments Expertise in using data warehouses such as Redshift, Snowflake, or similar technologies Expertise in a wide range of cloud data services and data structures (in addition to data warehouse), such as data lake, Iceberg table, document DB, key-value DB, and time-series DB Strong general data engineering knowledge, including data transformation, data loading, data procedure writing, and data querying Solid skills in distributed and concurrent data processing, including the use of data partitions and indexes for performance enhancement Strong background in various types of data infrastructure and services such as AWS EMR clusters, AWS RDS, EC2, and S3. Ability to design data models that are scalable in a hybrid environment of big data platforms and traditional databases Ability to evaluate design and implementation from data security perspective Strong data management and transformation skills to provide efficient solutions to business outcomes Strong, hands-on working knowledge of data fabric architectures, data meshes, data analytics, big data platforms, and data visualization Solid understanding of software engineering principles, design methodologies, technology architecture, and best practices in IT industry Solid understanding of Agile methodologies, with strong background working in an Agile development environment, collaborating with development and architecture teams Ability to obtain Public Trust (MBI) Clearance Desired Skills: Expertise recommending analytical and reporting tools in the federal market. Expertise with Data Transformation and migration using AWS technologies and open-source tools. Experience in adopting AI/ML technologies and applying them to enterprise data sets. Hands-on experience with other Data Engineering and data science development efforts such as Data Ingestion, Cleansing, and Transformation. T-Rex Overview Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering. T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits. T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. In compliance with pay transparency guidelines, the annual base salary range for this position is $150,000 - $195,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits. Company Description Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering. T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that . click apply for full job details

Job Description Job Description Azure role needs to be the primary sourcing focus. Updated priority criteria: Microsoft Purview, Microsoft Fabric/OneLake, and Azure AI Foundry should be treated as must-have/priority experience, along with strong hands-on Azure DevOps, Terraform/IaC and CI/CD. Do not send AWS-heavy profiles. Need Azure-specific platform/DevOps engineers, not AI/ML developers. About the role: Existing contractor is supporting the Azure environment for AI and data initiatives; new hire will complement their skill set and fill gaps across the Azure platform. Microsoft Purview is a key need, particularly around AI/data governance. 5 days/week onsite in Woburn, MA Existing contractor is interested in staying but is not looking to convert; new hire has potential to convert. Must-have / priority experience: Microsoft Purview Microsoft Fabric / OneLake Azure AI Foundry Strong hands-on Azure Azure DevOps / CI/CD / YAML Terraform / Infrastructure as Code Azure networking, security and identity Day-to-day: Build, automate, secure, deploy, monitor and govern the Azure platform supporting AI and data workloads. Ideal profile: Senior-level, hands-on Azure Platform / DevOps Engineer supporting enterprise AI and data workloads. Strong Terraform, Azure DevOps/CI/CD, Azure networking, security and identity are required. Purview experience is important, with Fabric/Foundry experience being a key differentiator/priority. The person will complement the existing engineer and fill gaps across Azure platform engineering, governance, security and AI infrastructure. This is NOT primarily an AI/ML developer role; it is an Azure platform engineering role supporting AI-enabled applications About the RoleWe are seeking a Senior Azure DevOps / AI Platform Engineer to help build, automate, secure, and operate enterprise Azure infrastructure supporting AI, data, and cloud-native workloads. This is a hands-on Azure platform engineering role , not an AI/ML development position. You will work alongside an existing Azure engineer and help fill gaps across Azure infrastructure, DevOps, governance, security, and AI platform capabilities. The ideal candidate has strong core Azure engineering experience combined with hands-on exposure to Microsoft Purview, Microsoft Fabric/OneLake, and Azure AI Foundry . What You'll Do Build, automate, secure, and operate enterprise Azure infrastructure Develop and maintain Terraform-based Infrastructure as Code Build and manage Azure DevOps YAML CI/CD pipelines Support Azure AI Foundry, Microsoft Fabric/OneLake, Purview, and related AI/data platform services Design and maintain Azure networking including VNets, subnets, NSGs, private endpoints, DNS, routing, and firewall integration Implement Entra ID, Azure RBAC, identity, and access controls Manage Key Vault and secure secrets Support secure deployments across Development, Test, and Production environments Monitor Azure environments using Azure Monitor and Log Analytics Implement cloud governance and security controls Troubleshoot complex Azure platform and infrastructure issues Partner with application, cybersecurity, networking, data, architecture, and governance teams Develop technical documentation, runbooks, architecture diagrams, and operational procedures What We're Looking For 5 years of experience in Cloud Engineering, DevOps, DevSecOps, SRE, or Platform Engineering 3 years of hands-on Azure production experience Strong Azure DevOps and CI/CD experience Strong Terraform / Infrastructure as Code experience Strong Git and YAML pipeline experience Experience with Azure networking and secure cloud architecture Experience with Entra ID / Azure RBAC Experience with Key Vault Experience with Azure Monitor / Log Analytics Strong troubleshooting and problem-solving skills Experience operating Azure environments across Development, Test, and Production Ability to work across application, cybersecurity, networking, data, architecture, and governance teams Priority ExperienceThe following experience is particularly important for this role: Microsoft Purview Microsoft Fabric / OneLake Azure AI Foundry Additional valuable experience includes: Azure OpenAI Azure AI Search API Management AKS / App Services Azure Policy GitOps Bicep PowerShell Python Containerization Enterprise AI governance The Right FitThe ideal candidate is a strong Azure platform/DevOps engineer who understands how to build the infrastructure layer supporting AI and data workloads . You should be comfortable discussing how you would securely deploy AI or data workloads across Azure environments using infrastructure as code, CI/CD, identity, networking, security controls, monitoring, and governance. This is not primarily an AI/ML developer role. We are looking for someone whose strength is Azure platform engineering , with Fabric, Foundry, and Purview experience being especially valuable.Job ResponsibilitiesWhat You'll Do Build and maintain Azure infrastructure supporting enterprise AI and data workloads Develop and maintain Terraform infrastructure modules Build and manage Azure DevOps CI/CD pipelines Support Microsoft Fabric, Azure AI Foundry, and related platform environments Implement Azure security, identity, networking, and governance controls Manage deployments across Dev, Test, and Production environments Monitor platform performance, availability, cost, and resource utilization Troubleshoot complex Azure infrastructure and deployment issues Implement cloud governance using tools such as Azure Policy and Microsoft Purview Partner with cybersecurity, data, application, networking, and architecture teams Develop technical documentation, standards, and operational procedures