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:
10/31/2026
Full time
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 AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.
10/31/2026
Full time
Job Description Job Description AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.
Job Description Job Description Complete Staffing is partnering with an AWESOME organization to identify an experienced Senior DevOps Engineer to join its technology team. This is an excellent opportunity for a hands-on technical professional who enjoys solving complex engineering challenges, modernizing cloud infrastructure, and improving software delivery processes. The Senior DevOps Engineer will play a key role in advancing the organization's DevOps capabilities, with a focus on cloud engineering, infrastructure automation, platform engineering, system reliability, and emerging AI-enabled operational tools. This individual will serve as a senior technical resource, helping establish best practices, mentor fellow engineers, and develop scalable, secure, and repeatable solutions that improve the reliability and efficiency of technology operations. Key Responsibilities DevOps & CI/CD: Design, implement, and optimize continuous integration and continuous delivery pipelines to support reliable, secure, and repeatable software releases. Cloud Engineering: Develop and maintain scalable, secure, and cost-effective cloud and hybrid infrastructure, preferably within Microsoft Azure. Infrastructure Automation: Build automation solutions and Infrastructure as Code using tools such as Terraform, Bicep, PowerShell, Python, Azure DevOps, and GitHub Actions. Platform Engineering: Develop reusable deployment templates, self-service workflows, and standardized engineering practices that improve developer productivity and streamline delivery. Site Reliability Engineering: Apply reliability engineering principles to improve system availability, performance, incident response, capacity planning, and operational efficiency. Monitoring & Observability: Implement and enhance monitoring, logging, metrics, tracing, alerting, and dashboards to improve system visibility and accelerate troubleshooting. Technical Leadership: Serve as a technical escalation point, mentor other engineers, lead complex troubleshooting efforts, and promote engineering best practices. Security & Compliance: Integrate security controls into pipelines and automation, including secrets management, identity and access controls, vulnerability scanning, and compliance requirements. Environment Management: Automate environment provisioning, configuration management, patching, release readiness, and other operational processes. Cloud-Native Technologies: Support containerization and orchestration technologies, including Docker and Kubernetes, where appropriate. AI-Enabled Operations: Evaluate and responsibly leverage AI-assisted tools to improve troubleshooting, documentation, automation, and engineering productivity while maintaining appropriate security controls. Cross-Functional Collaboration: Partner with application development, infrastructure, database, security, and operations teams to improve deployment processes and production reliability. Documentation & Continuous Improvement: Maintain technical documentation, architecture diagrams, runbooks, and operational standards while researching new tools and technologies to improve engineering practices. Required Qualifications 5-7 years of progressive experience in DevOps, cloud engineering, systems engineering, platform engineering, infrastructure automation, or a related technical field. Hands-on experience designing, supporting, and improving CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or similar platforms. Strong scripting and automation skills using PowerShell, Python, Bash, or comparable languages. Experience with Infrastructure as Code tools such as Terraform, Bicep, ARM templates, or Ansible. Working knowledge of cloud infrastructure, preferably Microsoft Azure, including networking, compute, storage, identity, security, monitoring, and cost optimization. Understanding of modern DevOps practices, release management, infrastructure automation, and operational support. Familiarity with monitoring, logging, alerting, and observability tools such as Azure Monitor, Application Insights, Log Analytics, Grafana, Prometheus, Splunk, or similar technologies. Knowledge of DevSecOps principles, including secure pipeline design, secrets management, vulnerability scanning, and access controls. Experience supporting enterprise applications, databases, middleware, or other business-critical systems across development, testing, staging, and production environments. Strong troubleshooting, analytical, communication, and documentation skills. Ability to work independently, lead technical initiatives, and mentor engineers without requiring direct people-management responsibility. Preferred Qualifications Experience with platform engineering practices, internal developer platforms, self-service automation, and reusable deployment patterns. Knowledge of Site Reliability Engineering principles, including service-level indicators, service-level objectives, error budgets, incident reviews, and toil reduction. Experience with Docker, Kubernetes, container orchestration, and cloud-native application deployment. Familiarity with AI-assisted engineering and operations tools. Experience with hybrid infrastructure environments and enterprise application platforms. Industry certifications such as Microsoft Azure Administrator, Azure DevOps Engineer Expert, Azure Solutions Architect, HashiCorp Terraform Associate, Kubernetes, or related DevOps certifications. Education & Experience A bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is preferred. Equivalent combinations of education, certifications, and relevant professional experience will also be considered.
10/31/2026
Full time
Job Description Job Description Complete Staffing is partnering with an AWESOME organization to identify an experienced Senior DevOps Engineer to join its technology team. This is an excellent opportunity for a hands-on technical professional who enjoys solving complex engineering challenges, modernizing cloud infrastructure, and improving software delivery processes. The Senior DevOps Engineer will play a key role in advancing the organization's DevOps capabilities, with a focus on cloud engineering, infrastructure automation, platform engineering, system reliability, and emerging AI-enabled operational tools. This individual will serve as a senior technical resource, helping establish best practices, mentor fellow engineers, and develop scalable, secure, and repeatable solutions that improve the reliability and efficiency of technology operations. Key Responsibilities DevOps & CI/CD: Design, implement, and optimize continuous integration and continuous delivery pipelines to support reliable, secure, and repeatable software releases. Cloud Engineering: Develop and maintain scalable, secure, and cost-effective cloud and hybrid infrastructure, preferably within Microsoft Azure. Infrastructure Automation: Build automation solutions and Infrastructure as Code using tools such as Terraform, Bicep, PowerShell, Python, Azure DevOps, and GitHub Actions. Platform Engineering: Develop reusable deployment templates, self-service workflows, and standardized engineering practices that improve developer productivity and streamline delivery. Site Reliability Engineering: Apply reliability engineering principles to improve system availability, performance, incident response, capacity planning, and operational efficiency. Monitoring & Observability: Implement and enhance monitoring, logging, metrics, tracing, alerting, and dashboards to improve system visibility and accelerate troubleshooting. Technical Leadership: Serve as a technical escalation point, mentor other engineers, lead complex troubleshooting efforts, and promote engineering best practices. Security & Compliance: Integrate security controls into pipelines and automation, including secrets management, identity and access controls, vulnerability scanning, and compliance requirements. Environment Management: Automate environment provisioning, configuration management, patching, release readiness, and other operational processes. Cloud-Native Technologies: Support containerization and orchestration technologies, including Docker and Kubernetes, where appropriate. AI-Enabled Operations: Evaluate and responsibly leverage AI-assisted tools to improve troubleshooting, documentation, automation, and engineering productivity while maintaining appropriate security controls. Cross-Functional Collaboration: Partner with application development, infrastructure, database, security, and operations teams to improve deployment processes and production reliability. Documentation & Continuous Improvement: Maintain technical documentation, architecture diagrams, runbooks, and operational standards while researching new tools and technologies to improve engineering practices. Required Qualifications 5-7 years of progressive experience in DevOps, cloud engineering, systems engineering, platform engineering, infrastructure automation, or a related technical field. Hands-on experience designing, supporting, and improving CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or similar platforms. Strong scripting and automation skills using PowerShell, Python, Bash, or comparable languages. Experience with Infrastructure as Code tools such as Terraform, Bicep, ARM templates, or Ansible. Working knowledge of cloud infrastructure, preferably Microsoft Azure, including networking, compute, storage, identity, security, monitoring, and cost optimization. Understanding of modern DevOps practices, release management, infrastructure automation, and operational support. Familiarity with monitoring, logging, alerting, and observability tools such as Azure Monitor, Application Insights, Log Analytics, Grafana, Prometheus, Splunk, or similar technologies. Knowledge of DevSecOps principles, including secure pipeline design, secrets management, vulnerability scanning, and access controls. Experience supporting enterprise applications, databases, middleware, or other business-critical systems across development, testing, staging, and production environments. Strong troubleshooting, analytical, communication, and documentation skills. Ability to work independently, lead technical initiatives, and mentor engineers without requiring direct people-management responsibility. Preferred Qualifications Experience with platform engineering practices, internal developer platforms, self-service automation, and reusable deployment patterns. Knowledge of Site Reliability Engineering principles, including service-level indicators, service-level objectives, error budgets, incident reviews, and toil reduction. Experience with Docker, Kubernetes, container orchestration, and cloud-native application deployment. Familiarity with AI-assisted engineering and operations tools. Experience with hybrid infrastructure environments and enterprise application platforms. Industry certifications such as Microsoft Azure Administrator, Azure DevOps Engineer Expert, Azure Solutions Architect, HashiCorp Terraform Associate, Kubernetes, or related DevOps certifications. Education & Experience A bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is preferred. Equivalent combinations of education, certifications, and relevant professional experience will also be considered.
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:
10/31/2026
Full time
Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
Job Description Job Description Job Title: 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:
10/31/2026
Full time
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 Description: Direct Hire Hybrid schedule in Plano, TX Comp range: $150-180K 15% travel (including int 'l ) MUST BE US CITIZEN or GREEN CARD HOLDER (No C2C) JOB DESCRIPTION Architect the Future of Enterprise Intelligence The Senior Data Architect provides technical leadership across the company's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans traditional data management (DBMS, data modeling, warehousing, governance) and modern cloud native/AI data engineering on AWS, including bronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native SaaS application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g., Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and feature/knowledge layers to support SageMaker training/inference and Amazon Bedrock applications (e.g., Knowledge Bases, Guardrails, Agents, and Invoke Model/Converse orchestration). Lead RAG architectures (chunking, embeddings, retrieval) using vector databases such as Amazon OpenSearch Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set prompt, context, and token budget standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems: SQL Server, PostgreSQL, MongoDB, including schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern EDW/ Lakehouse/ODS patterns; integrate with .NET/C# services and Angular frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define API and data contract standards (REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for .NET/C# and Angular consumers. Orchestrate ingestion from SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g., MSK/Kinesis, DMS, Glue). Partner with Solution/Platform Architects to ensure microservices and event driven designs are data efficient and observability ready. Data Governance, Quality & Observability Implement data governance (policies, stewardship, data classification), cataloging (Glue Data Catalog), lineage (Open Lineage compatible), and quality (rules, thresholds, SLAs/SLOs). Embed monitoring & cost governance (CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with data minimization, tokenization, masking, and access controls across environments. Define secure patterns for model inputs/outputs (LLM safety), prompt hygiene, and guardrails to prevent leakage or misuse. Delivery Leadership & Collaboration Produce architecture blueprints, target state designs, and build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead design reviews, threat modeling, and cost/performance reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellence and learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g., AWS Data Analytics/Solutions Architect preferred). 10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms. 5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale. Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS. Strong SQL and Python; proficiency in data modeling - IFC (preferred), 3NF, dimensional/star, data vault, etc. DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg. Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns. Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing. DevOps/MLOps/IaC: Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with Redshift RA3/Spectrum, materialized views, workload management, and federated queries (Athena/Glue). Familiarity with Power BI / Microsoft Fabric and Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies (anonymization, differential privacy), policy as code, and guardrail frameworks. Experience working with geographically distributed teams and regulated data. Strategic thinking with the ability to balance short-term increments and long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. System One, and its subsidiaries including Joulé, ALTA IT Services, 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: Tulsa
10/31/2026
Full time
Job Description Job Description Description: Direct Hire Hybrid schedule in Plano, TX Comp range: $150-180K 15% travel (including int 'l ) MUST BE US CITIZEN or GREEN CARD HOLDER (No C2C) JOB DESCRIPTION Architect the Future of Enterprise Intelligence The Senior Data Architect provides technical leadership across the company's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans traditional data management (DBMS, data modeling, warehousing, governance) and modern cloud native/AI data engineering on AWS, including bronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native SaaS application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g., Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and feature/knowledge layers to support SageMaker training/inference and Amazon Bedrock applications (e.g., Knowledge Bases, Guardrails, Agents, and Invoke Model/Converse orchestration). Lead RAG architectures (chunking, embeddings, retrieval) using vector databases such as Amazon OpenSearch Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set prompt, context, and token budget standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems: SQL Server, PostgreSQL, MongoDB, including schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern EDW/ Lakehouse/ODS patterns; integrate with .NET/C# services and Angular frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define API and data contract standards (REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for .NET/C# and Angular consumers. Orchestrate ingestion from SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g., MSK/Kinesis, DMS, Glue). Partner with Solution/Platform Architects to ensure microservices and event driven designs are data efficient and observability ready. Data Governance, Quality & Observability Implement data governance (policies, stewardship, data classification), cataloging (Glue Data Catalog), lineage (Open Lineage compatible), and quality (rules, thresholds, SLAs/SLOs). Embed monitoring & cost governance (CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with data minimization, tokenization, masking, and access controls across environments. Define secure patterns for model inputs/outputs (LLM safety), prompt hygiene, and guardrails to prevent leakage or misuse. Delivery Leadership & Collaboration Produce architecture blueprints, target state designs, and build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead design reviews, threat modeling, and cost/performance reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellence and learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g., AWS Data Analytics/Solutions Architect preferred). 10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms. 5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale. Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS. Strong SQL and Python; proficiency in data modeling - IFC (preferred), 3NF, dimensional/star, data vault, etc. DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg. Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns. Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing. DevOps/MLOps/IaC: Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with Redshift RA3/Spectrum, materialized views, workload management, and federated queries (Athena/Glue). Familiarity with Power BI / Microsoft Fabric and Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies (anonymization, differential privacy), policy as code, and guardrail frameworks. Experience working with geographically distributed teams and regulated data. Strategic thinking with the ability to balance short-term increments and long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. System One, and its subsidiaries including Joulé, ALTA IT Services, 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: Tulsa
Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you a Senior DevOps Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Senior DevOps Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Responsibilities: Support the development life cycle of platform architectural design, deployment and debugging Building a release pipeline to enable fast, but safe delivery of critical business software to Production Develop & Maintain sound version control best practices-based CM systems (GIT), including branching and merging strategies Serve as a technical lead for an Agile team and actively participate in all Agile ceremonies. Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives. Ability to automate release deployments across development, test, stag in g, Quality Assurance and production stacks using a combination of scripting languages and other automation toolkits Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. U.S. Citizenship. Bachelor's degree or higher is required in either Engineering (i. e. Computer, Electrical, Mechanical, Aerospace, etc.) or Computer Science with a minimum of ten (10) years of related experience (excludes education experience such as Bachelor's or Master's degree in relevant field) Works well independently as well as on a team. Strong communication skills. Required Skills: AWS (e.g., ECS, EKS) - hands on experience working with DOD's specific implementation Kubernetes Infrastructure automation Kafka Java NiFi PostgreSQL Desired Skills: Must be fluent with Git Strong knowledge of Linux and Linux environments (RHEL 617/8, RHCSNRHCE CentOS) Experience with Windows system administration, system monitoring, instrumentation, resiliency and performance. 10+ years working in an Agile dev environment (excludes education experience such as Bachelor's or Master degree in relevant field) Experience integrating Jenkins/Bamboo Docker, and Kubernetes for automated deployment preferred Experience with caching technologies (Memcache, Active MQ, Redis, APC, etc.) Experience with MySQL (Clusters, Replication, and Tuning) and Elasticsearch (Kibana a plus). Knowledge of security practices, networking protocols, firewalls, PCI compliance etc. Location: Columbia, MD Salary Range: The salary range for this full-time position is $170,000 to $260,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR MDEfb6026K
10/31/2026
Full time
Job Description Job Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you a Senior DevOps Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Senior DevOps Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Responsibilities: Support the development life cycle of platform architectural design, deployment and debugging Building a release pipeline to enable fast, but safe delivery of critical business software to Production Develop & Maintain sound version control best practices-based CM systems (GIT), including branching and merging strategies Serve as a technical lead for an Agile team and actively participate in all Agile ceremonies. Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives. Ability to automate release deployments across development, test, stag in g, Quality Assurance and production stacks using a combination of scripting languages and other automation toolkits Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. U.S. Citizenship. Bachelor's degree or higher is required in either Engineering (i. e. Computer, Electrical, Mechanical, Aerospace, etc.) or Computer Science with a minimum of ten (10) years of related experience (excludes education experience such as Bachelor's or Master's degree in relevant field) Works well independently as well as on a team. Strong communication skills. Required Skills: AWS (e.g., ECS, EKS) - hands on experience working with DOD's specific implementation Kubernetes Infrastructure automation Kafka Java NiFi PostgreSQL Desired Skills: Must be fluent with Git Strong knowledge of Linux and Linux environments (RHEL 617/8, RHCSNRHCE CentOS) Experience with Windows system administration, system monitoring, instrumentation, resiliency and performance. 10+ years working in an Agile dev environment (excludes education experience such as Bachelor's or Master degree in relevant field) Experience integrating Jenkins/Bamboo Docker, and Kubernetes for automated deployment preferred Experience with caching technologies (Memcache, Active MQ, Redis, APC, etc.) Experience with MySQL (Clusters, Replication, and Tuning) and Elasticsearch (Kibana a plus). Knowledge of security practices, networking protocols, firewalls, PCI compliance etc. Location: Columbia, MD Salary Range: The salary range for this full-time position is $170,000 to $260,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE. Benefits: CareFirst Medical Coverage for Employee and Dependents Guardian Dental and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR MDEfb6026K
Job Description Job Description AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.
10/31/2026
Full time
Job Description Job Description AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.
Job Description Job Description Lead the teams that get our software securely into production and keep customers running, whether they use our cloud, AWS GovCloud or their own environments. You will report to the CEO, sit on the Senior Leadership Team and lead our DevOps and Support teams. Security and compliance are part of our product, not an afterthought. You will be the accountable owner for how we ship, run and support it, and the technical voice of VisibleThread with customers and prospects. Own our AWS GovCloud environment and its compliance posture (FedRAMP, NIST 800-53, SOC 2). Own release from engineering into production, for our cloud and for customers who host VisibleThread themselves. Run cloud operations: availability, observability, incident response and cost across commercial AWS and GovCloud. Lead the secure SDLC and vulnerability management, plus CI/CD and developer tooling. Lead Support and be the final escalation point for customer issues, including on-premise and restricted environments. Build and develop the DevOps and Support teams, and be our technical adviser to strategic customers. Requirements 12+ years in software, DevOps, SRE or platform engineering, with 5+ years leading technical teams, ideally across operations and customer support. Hands-on ownership of a FedRAMP, NIST 800-53 or similar government compliance program, ideally in AWS GovCloud. Deep experience running production workloads on AWS: availability, incident management, observability and cost. CI/CD and secure SDLC experience: SBOM, dependency and static scanning, remediation SLAs. Experience supporting software that customers run on premise, and enough Java/Spring depth to be credible with engineers. Comfort as a customer-facing technical leader, and experience leading remote teams across time zones. Experience using AI to automate operations, support or developer workflows. US citizenship. Nice to have: Microsoft 365 GCC/GCC High or other US government cloud experience, Datadog or similar tools, and experience as accountable owner in a FedRAMP assessment. VisibleThread builds document-intelligence software for proposal, bid and compliance teams in government agencies, defense contractors and regulated enterprises. Customers run it in our cloud, in AWS GovCloud, in their private cloud, on premises or in air-gapped environments. Location: Virginia / Washington DC metro area, US; remote-friendly with regular overlap with our Ireland-based team (on-site expectations to be confirmed). Benefits Competitive Salary Equity award Hybrid working: Remote with the requirement to work when required out of offices at Tyson's Corner Healthcare, Dental & 401k Chance to work with an exceptionally talented team Work in a fast paced, highly innovative environment, with exciting technology VisibleThread is an equal opportunity employer.
10/31/2026
Full time
Job Description Job Description Lead the teams that get our software securely into production and keep customers running, whether they use our cloud, AWS GovCloud or their own environments. You will report to the CEO, sit on the Senior Leadership Team and lead our DevOps and Support teams. Security and compliance are part of our product, not an afterthought. You will be the accountable owner for how we ship, run and support it, and the technical voice of VisibleThread with customers and prospects. Own our AWS GovCloud environment and its compliance posture (FedRAMP, NIST 800-53, SOC 2). Own release from engineering into production, for our cloud and for customers who host VisibleThread themselves. Run cloud operations: availability, observability, incident response and cost across commercial AWS and GovCloud. Lead the secure SDLC and vulnerability management, plus CI/CD and developer tooling. Lead Support and be the final escalation point for customer issues, including on-premise and restricted environments. Build and develop the DevOps and Support teams, and be our technical adviser to strategic customers. Requirements 12+ years in software, DevOps, SRE or platform engineering, with 5+ years leading technical teams, ideally across operations and customer support. Hands-on ownership of a FedRAMP, NIST 800-53 or similar government compliance program, ideally in AWS GovCloud. Deep experience running production workloads on AWS: availability, incident management, observability and cost. CI/CD and secure SDLC experience: SBOM, dependency and static scanning, remediation SLAs. Experience supporting software that customers run on premise, and enough Java/Spring depth to be credible with engineers. Comfort as a customer-facing technical leader, and experience leading remote teams across time zones. Experience using AI to automate operations, support or developer workflows. US citizenship. Nice to have: Microsoft 365 GCC/GCC High or other US government cloud experience, Datadog or similar tools, and experience as accountable owner in a FedRAMP assessment. VisibleThread builds document-intelligence software for proposal, bid and compliance teams in government agencies, defense contractors and regulated enterprises. Customers run it in our cloud, in AWS GovCloud, in their private cloud, on premises or in air-gapped environments. Location: Virginia / Washington DC metro area, US; remote-friendly with regular overlap with our Ireland-based team (on-site expectations to be confirmed). Benefits Competitive Salary Equity award Hybrid working: Remote with the requirement to work when required out of offices at Tyson's Corner Healthcare, Dental & 401k Chance to work with an exceptionally talented team Work in a fast paced, highly innovative environment, with exciting technology VisibleThread is an equal opportunity employer.
Job Description Job Description Agile Modeling & Simulation Engineer - Expert - Clearance Required: TS/SCI Dayton, Ohio - 100% onsite Position Overview The Expert Agile Modeling & Simulation Engineer serves as the principal technical authority and strategic lead for digital engineering across the contract. This role provides high-level architectural oversight to revolutionize how NASIC produces model-centric intelligence. The Expert engineer advises senior center leadership, coordinates cross-functional enterprise workflows, and designs corporate-level MBSE governance frameworks to ensure consistency across the Department of Defense (DoD) and Intelligence Community (IC). Core Responsibilities Strategic Architecture & Integration: Architect-level lead providing systems engineering oversight and technical recommendations on system performance, feasibility, and program alignment to pioneer dynamic, model-centric intelligence workflows. Enterprise Governance Policy Creation: Leads the drafting, reviewing, and formal proposing of enterprise governance policies, data standards, and best practices for model-based analytic processes. Establishes standard enterprise taxonomies with a heavy emphasis on MBSE-based workflows. Deliverable Accountability: Authors, reviews, and delivers the formal monthly MBSE Performance and Feasibility Assessment Report and the MBSE Governance Posture Report directly to the Chief Modeling and Simulation Officer. Strategic Communications & Advocacy: Directs high-level technology scouting and strategic communications. Facilitates cross-functional enterprise coordination across mission partners to ensure modernized simulation workflows meet long-range mission objectives. Qualifications & Experience Required: Education & Experience: Bachelor's degree and 18 years of experience OR a Master's degree and 15 years of experience in Systems Engineering, Aerospace Engineering, Digital Engineering, or a related technical discipline. Technical Expertise: Expert-level mastery utilizing MBSE and SysML software suites (e.g., Cameo Systems Modeler, MagicDraw) to build complex enterprise system models independent of supervisory guidance. Deep background in aerospace/defense simulation workflows, ontology design, and technical risk assessment. Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Proven history driving policy interpretation and enterprise standard implementation. Desired: NASIC Experience: NASIC experience highly desired, not mandatory.
10/31/2026
Full time
Job Description Job Description Agile Modeling & Simulation Engineer - Expert - Clearance Required: TS/SCI Dayton, Ohio - 100% onsite Position Overview The Expert Agile Modeling & Simulation Engineer serves as the principal technical authority and strategic lead for digital engineering across the contract. This role provides high-level architectural oversight to revolutionize how NASIC produces model-centric intelligence. The Expert engineer advises senior center leadership, coordinates cross-functional enterprise workflows, and designs corporate-level MBSE governance frameworks to ensure consistency across the Department of Defense (DoD) and Intelligence Community (IC). Core Responsibilities Strategic Architecture & Integration: Architect-level lead providing systems engineering oversight and technical recommendations on system performance, feasibility, and program alignment to pioneer dynamic, model-centric intelligence workflows. Enterprise Governance Policy Creation: Leads the drafting, reviewing, and formal proposing of enterprise governance policies, data standards, and best practices for model-based analytic processes. Establishes standard enterprise taxonomies with a heavy emphasis on MBSE-based workflows. Deliverable Accountability: Authors, reviews, and delivers the formal monthly MBSE Performance and Feasibility Assessment Report and the MBSE Governance Posture Report directly to the Chief Modeling and Simulation Officer. Strategic Communications & Advocacy: Directs high-level technology scouting and strategic communications. Facilitates cross-functional enterprise coordination across mission partners to ensure modernized simulation workflows meet long-range mission objectives. Qualifications & Experience Required: Education & Experience: Bachelor's degree and 18 years of experience OR a Master's degree and 15 years of experience in Systems Engineering, Aerospace Engineering, Digital Engineering, or a related technical discipline. Technical Expertise: Expert-level mastery utilizing MBSE and SysML software suites (e.g., Cameo Systems Modeler, MagicDraw) to build complex enterprise system models independent of supervisory guidance. Deep background in aerospace/defense simulation workflows, ontology design, and technical risk assessment. Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Proven history driving policy interpretation and enterprise standard implementation. Desired: NASIC Experience: NASIC experience highly desired, not mandatory.
Job Description Job Description Title: Senior Linux & Middleware Engineer (RHEL / JBoss EAP) Location: 4000 LUXOTTICA PL MASON OH 45040 Duration: 3-6 months with possible extension as needed Work Model: (3 Days Onsite 2 days' Work Form Home) The hourly Pay rate is $66.81 hr. W2 All Inclusive no benefits (Monday to Friday 9:00 AM - 5:00 PM Half an hour for Lunch) Key Responsibilities Linux & Middleware Administration Administer, maintain, patch, monitor, and troubleshoot Linux environments, preferably Red Hat Enterprise Linux (RHEL). Install, configure, maintain, and troubleshoot Apache HTTP Server, Docker, NGINX, and Red Hat JBoss Enterprise Application Platform (EAP). Support JBoss configurations including JVM settings, application deployments, data sources, certificates, logging, clustering, and environment-specific configuration. Analyze system and application logs to identify performance, configuration, connectivity, and availability issues. Support SSL/TLS certificates, keystores, truststores, and related application connectivity. Java Application Support Possess a working knowledge of Java/Jakarta EE applications and be able to review Java code, stack traces, configuration files, and logs to assist with troubleshooting. Work closely with development teams to diagnose application, JVM, middleware, and infrastructure-related problems. Troubleshoot issues involving JVM memory, threads, garbage collection, connection pools, application dependencies, and service integrations. Build & Deployment Support Support and troubleshoot application build and deployment processes across development, test, and production environments. Assist in diagnosing failed builds, deployment failures, configuration issues, dependency problems, permissions, and environment differences. Understand modern CI/CD concepts, Git-based source control, build pipelines, and release processes. Partner with Development and DevOps teams to improve deployment reliability and reduce manual intervention. Networking & Infrastructure Coordination Possess a solid understanding of networking concepts including TCP/IP, DNS, routing, firewalls, ports, load balancing, SSL/TLS, NAT, and network connectivity. Understand VIPs, load balancers, firewall rules, and site-to-site (S2S) VPNs well enough to identify requirements and submit accurate network requests. Troubleshoot application connectivity using tools such as curl, openssl, nslookup/dig, traceroute, netstat/ss, and related Linux utilities. Partner effectively with Network and Security teams to diagnose connectivity issues and implement infrastructure changes. Required Qualifications 5+ years of Linux systems administration or equivalent enterprise infrastructure experience. Strong hands-on experience with Red Hat Enterprise Linux (RHEL) or comparable Linux distributions. Experience administering and troubleshooting Apache HTTP Server. Experience administering and troubleshooting Red Hat JBoss EAP. Working knowledge of Java/Jakarta EE applications, including the ability to interpret application logs, stack traces, JVM errors, and basic Java code. Experience troubleshooting application builds and deployments. Understanding of Git, CI/CD pipelines, and automated build/deployment processes. Strong networking fundamentals and the ability to translate application requirements into well-defined network requests. Experience troubleshooting complex issues that span application, middleware, operating system, database connectivity, and network layers. Strong communication and documentation skills with the ability to collaborate across Development, Infrastructure, Network, Security, and Operations teams. Preferred Qualifications Experience with Jira for incident, change, problem, and work tracking. Experience with GitLab, Jenkins, Ansible, or similar CI/CD and automation technologies. Experience supporting highly available, business-critical enterprise applications. Familiarity with load-balancing technologies such as F5 BIG-IP. Experience with monitoring/APM platforms such as Dynatrace, Splunk, or similar tools. Experience supporting applications that integrate with Oracle databases. Basic scripting experience with Bash, Python, or similar technologies. Prior hands-on application development experience (even small) particularly with Java-based enterprise applications, is a plus and will be valuable when troubleshooting application, build, deployment, and runtime issues. Key Competencies Strong troubleshooting and root-cause-analysis skills Ability to troubleshoot across the application, middleware, OS, and network stack Comfortable reviewing application code without requiring a software developer background Strong ownership and follow-through Ability to work effectively during production incidents and high-priority deployments Strong cross-functional communication skills Ability to translate technical requirements between Development and Infrastructure teams Comments for Suppliers: What Success Looks Like This individual will serve as a key technical bridge between Development, DevOps, Middleware, Linux, Network, and Security teams. Success in this role means not simply administering Linux servers, but understanding how the complete application stack works well enough to quickly determine whether an issue originates in the application, Java/JVM, JBoss, Apache, Linux operating system, deployment pipeline, or network and drive it toward resolution.
10/31/2026
Full time
Job Description Job Description Title: Senior Linux & Middleware Engineer (RHEL / JBoss EAP) Location: 4000 LUXOTTICA PL MASON OH 45040 Duration: 3-6 months with possible extension as needed Work Model: (3 Days Onsite 2 days' Work Form Home) The hourly Pay rate is $66.81 hr. W2 All Inclusive no benefits (Monday to Friday 9:00 AM - 5:00 PM Half an hour for Lunch) Key Responsibilities Linux & Middleware Administration Administer, maintain, patch, monitor, and troubleshoot Linux environments, preferably Red Hat Enterprise Linux (RHEL). Install, configure, maintain, and troubleshoot Apache HTTP Server, Docker, NGINX, and Red Hat JBoss Enterprise Application Platform (EAP). Support JBoss configurations including JVM settings, application deployments, data sources, certificates, logging, clustering, and environment-specific configuration. Analyze system and application logs to identify performance, configuration, connectivity, and availability issues. Support SSL/TLS certificates, keystores, truststores, and related application connectivity. Java Application Support Possess a working knowledge of Java/Jakarta EE applications and be able to review Java code, stack traces, configuration files, and logs to assist with troubleshooting. Work closely with development teams to diagnose application, JVM, middleware, and infrastructure-related problems. Troubleshoot issues involving JVM memory, threads, garbage collection, connection pools, application dependencies, and service integrations. Build & Deployment Support Support and troubleshoot application build and deployment processes across development, test, and production environments. Assist in diagnosing failed builds, deployment failures, configuration issues, dependency problems, permissions, and environment differences. Understand modern CI/CD concepts, Git-based source control, build pipelines, and release processes. Partner with Development and DevOps teams to improve deployment reliability and reduce manual intervention. Networking & Infrastructure Coordination Possess a solid understanding of networking concepts including TCP/IP, DNS, routing, firewalls, ports, load balancing, SSL/TLS, NAT, and network connectivity. Understand VIPs, load balancers, firewall rules, and site-to-site (S2S) VPNs well enough to identify requirements and submit accurate network requests. Troubleshoot application connectivity using tools such as curl, openssl, nslookup/dig, traceroute, netstat/ss, and related Linux utilities. Partner effectively with Network and Security teams to diagnose connectivity issues and implement infrastructure changes. Required Qualifications 5+ years of Linux systems administration or equivalent enterprise infrastructure experience. Strong hands-on experience with Red Hat Enterprise Linux (RHEL) or comparable Linux distributions. Experience administering and troubleshooting Apache HTTP Server. Experience administering and troubleshooting Red Hat JBoss EAP. Working knowledge of Java/Jakarta EE applications, including the ability to interpret application logs, stack traces, JVM errors, and basic Java code. Experience troubleshooting application builds and deployments. Understanding of Git, CI/CD pipelines, and automated build/deployment processes. Strong networking fundamentals and the ability to translate application requirements into well-defined network requests. Experience troubleshooting complex issues that span application, middleware, operating system, database connectivity, and network layers. Strong communication and documentation skills with the ability to collaborate across Development, Infrastructure, Network, Security, and Operations teams. Preferred Qualifications Experience with Jira for incident, change, problem, and work tracking. Experience with GitLab, Jenkins, Ansible, or similar CI/CD and automation technologies. Experience supporting highly available, business-critical enterprise applications. Familiarity with load-balancing technologies such as F5 BIG-IP. Experience with monitoring/APM platforms such as Dynatrace, Splunk, or similar tools. Experience supporting applications that integrate with Oracle databases. Basic scripting experience with Bash, Python, or similar technologies. Prior hands-on application development experience (even small) particularly with Java-based enterprise applications, is a plus and will be valuable when troubleshooting application, build, deployment, and runtime issues. Key Competencies Strong troubleshooting and root-cause-analysis skills Ability to troubleshoot across the application, middleware, OS, and network stack Comfortable reviewing application code without requiring a software developer background Strong ownership and follow-through Ability to work effectively during production incidents and high-priority deployments Strong cross-functional communication skills Ability to translate technical requirements between Development and Infrastructure teams Comments for Suppliers: What Success Looks Like This individual will serve as a key technical bridge between Development, DevOps, Middleware, Linux, Network, and Security teams. Success in this role means not simply administering Linux servers, but understanding how the complete application stack works well enough to quickly determine whether an issue originates in the application, Java/JVM, JBoss, Apache, Linux operating system, deployment pipeline, or network and drive it toward resolution.
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. Role Summary The Senior Engineer in the Identity Domain provides senior technical leadership for identity services across the platform. This role defines and evolves enterprise-wide identity and access management (IAM) capabilities, influencing architecture, engineering standards, and execution across multiple teams. The Senior Engineer sets technical direction for authentication, authorization, and identity federation, drives adoption of modern identity standards, and ensures identity is implemented as a consistent, secure platform capability. Key Responsibilities Technical Leadership Act as the senior technical authority for identity services across platforms and teams Define and evolve enterprise-wide IAM architecture and engineering standards Design and maintain reference implementations for core identity capabilities Review and influence system designs and code to ensure security, scalability, and correctness Authentication, Authorization & Access Management Architect and implement OAuth 2.0, OpenID Connect (OIDC), and SAML 2.0 for SSO and federation across hybrid, multi-cloud, and SaaS environments Drive adoption of phishing-resistant, passwordless authentication, including FIDO2, WebAuthn, and Passkeys Define API authorization patterns using JWT and mTLS for service-to-service communication Lead the transition to adaptive, context-aware authorization models (RBAC/ABAC) aligned with Zero Trust principles Identity Lifecycle & Federation Define and implement automated identity lifecycle management using SCIM Guide teams on unified and federated identity constructs and cross-domain trust models Incorporate global trends in identity and identity verification into platform design and standards Influence & Mentorship Mentor engineers across teams, raising the bar for identity and security engineering Provide technical guidance to product and platform partners on identity-related decisions Influence roadmaps and priorities through technical leadership and domain expertise Required Qualifications Extensive experience designing and building identity and access management systems Strong knowledge of identity protocols and standards (OAuth 2.0, OIDC, SAML, SCIM) Experience with federated and unified identity architectures in distributed environments Proven ability to influence technical direction across multiple teams and platforms Preferred Qualifications Experience with identity verification, risk-based authentication, or trust signals Familiarity with Zero Trust architectures and adaptive access control models Experience operating identity platforms at scale in regulated or security-sensitive environments Impact & Scope Technical decisions have broad impact across the Identity Domain and adjacent platforms Establishes standards and patterns adopted by multiple teams Qualification Bachelor's degree in Computer Science, Engineering, or related field 12+ years of experience building large-scale distributed systems 5+ years as a technical lead or architect in identity management domain owning end-to-end system design Additional Details The base pay range for this position is expected in the range below: $217,600 - $290,500 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
10/31/2026
Full time
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. Role Summary The Senior Engineer in the Identity Domain provides senior technical leadership for identity services across the platform. This role defines and evolves enterprise-wide identity and access management (IAM) capabilities, influencing architecture, engineering standards, and execution across multiple teams. The Senior Engineer sets technical direction for authentication, authorization, and identity federation, drives adoption of modern identity standards, and ensures identity is implemented as a consistent, secure platform capability. Key Responsibilities Technical Leadership Act as the senior technical authority for identity services across platforms and teams Define and evolve enterprise-wide IAM architecture and engineering standards Design and maintain reference implementations for core identity capabilities Review and influence system designs and code to ensure security, scalability, and correctness Authentication, Authorization & Access Management Architect and implement OAuth 2.0, OpenID Connect (OIDC), and SAML 2.0 for SSO and federation across hybrid, multi-cloud, and SaaS environments Drive adoption of phishing-resistant, passwordless authentication, including FIDO2, WebAuthn, and Passkeys Define API authorization patterns using JWT and mTLS for service-to-service communication Lead the transition to adaptive, context-aware authorization models (RBAC/ABAC) aligned with Zero Trust principles Identity Lifecycle & Federation Define and implement automated identity lifecycle management using SCIM Guide teams on unified and federated identity constructs and cross-domain trust models Incorporate global trends in identity and identity verification into platform design and standards Influence & Mentorship Mentor engineers across teams, raising the bar for identity and security engineering Provide technical guidance to product and platform partners on identity-related decisions Influence roadmaps and priorities through technical leadership and domain expertise Required Qualifications Extensive experience designing and building identity and access management systems Strong knowledge of identity protocols and standards (OAuth 2.0, OIDC, SAML, SCIM) Experience with federated and unified identity architectures in distributed environments Proven ability to influence technical direction across multiple teams and platforms Preferred Qualifications Experience with identity verification, risk-based authentication, or trust signals Familiarity with Zero Trust architectures and adaptive access control models Experience operating identity platforms at scale in regulated or security-sensitive environments Impact & Scope Technical decisions have broad impact across the Identity Domain and adjacent platforms Establishes standards and patterns adopted by multiple teams Qualification Bachelor's degree in Computer Science, Engineering, or related field 12+ years of experience building large-scale distributed systems 5+ years as a technical lead or architect in identity management domain owning end-to-end system design Additional Details The base pay range for this position is expected in the range below: $217,600 - $290,500 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
Job Description Job Description Description: Phoenix Ops Group is seeking an experienced Senior DevOps Engineer to support a mission-focused technical environment in Fort Gordon, GA. This position is ideal for a DevOps professional with strong experience supporting cloud infrastructure, containerized environments, automation, CI/CD processes, and Linux-based systems. The Senior DevOps Engineer will work closely with software development and engineering teams to build, deploy, automate, monitor, and maintain reliable and scalable infrastructure. The successful candidate will have hands-on experience with AWS, Kubernetes, infrastructure-as-code technologies, scripting, and modern DevOps practices. Key Responsibilities Develop, deploy, and maintain cloud infrastructure within AWS environments, with a particular focus on Amazon EKS. Support deployment and maintenance of on-premises, edge, and portable infrastructure environments. Build and improve automated deployment processes to increase reliability, scalability, and operational efficiency. Deploy, manage, and troubleshoot Kubernetes-based container environments. Partner with software development teams to integrate applications into cloud and infrastructure environments. Monitor production systems, identify performance or availability issues, and perform troubleshooting and remediation. Develop and maintain infrastructure-as-code and configuration-management solutions using tools such as Terraform and Ansible. Support CI/CD and automated software deployment processes. Administer and troubleshoot Linux-based systems. Develop automation and operational tooling using languages such as Python, Bash, or Go. Evaluate emerging technologies and recommend improvements to infrastructure, automation, reliability, and performance. Support additional technical and operational requirements as mission needs evolve. Requirements: Active TS/SCI U.S. Government security clearance . U.S. citizenship required due to security clearance requirements. Bachelor's degree in a related technical discipline with 9+ years of relevant experience ; OR a master's degree with 7+ years of relevant experience ; OR a high school diploma/equivalent with 13+ years of relevant experience . Strong experience with Kubernetes or comparable container orchestration technologies. Hands-on experience with AWS services, including EKS, EC2, EBS, S3, and Lambda . Experience with infrastructure-as-code and configuration-management tools such as Terraform and Ansible . Experience deploying, scaling, managing, and troubleshooting applications, containers, and operating systems. Programming or scripting experience using Python, Bash, Go, or similar languages . Experience with Git and modern development/deployment tools. Strong Linux system administration and troubleshooting skills. Understanding of Agile software development practices. Strong analytical, troubleshooting, written, and verbal communication skills. Current DoD 8140/8570-compliant certification , such as Security+, or the ability to obtain an approved certification within the required timeframe after hire. Ability to work onsite at Fort Belvoir, VA, five days per week and travel occasionally as mission requirements dictate. Preferred Qualifications Experience supporting big-data or distributed-data technologies such as Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, Elasticsearch, Hive, Trino, Presto, or similar platforms. Experience with K9s and AWS CLI. Familiarity with additional AWS services such as SNS and SQS. Experience supporting highly available, mission-critical systems in secure government environments. Join Phoenix Ops Group At Phoenix Ops Group, you'll have the opportunity to contribute your expertise to challenging technical missions while working alongside experienced engineering and technology professionals. We're looking for collaborative problem-solvers who enjoy building reliable systems, improving automation, and delivering solutions that make an impact. Benefits Offered: Medical, Dental, Vision Insurance - 100% Company Paid Premiums STD, LTD, and Life Insurance - 100% Company paid 401K - Automatic 10% company contribution; no matching required PTO - 4 weeks/year Holidays - 11 paid/year Birthdays off with pay Referral Bonuses - Upfront AND Annually Recurring Open Source Bonuses - Contribute to our Github projects Professional Development - Paid training, Certifications, and Enrichment ABOUT PHOENIX OPERATIONS GROUP: Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers. Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives. Please visit us at for more information. Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.
10/31/2026
Full time
Job Description Job Description Description: Phoenix Ops Group is seeking an experienced Senior DevOps Engineer to support a mission-focused technical environment in Fort Gordon, GA. This position is ideal for a DevOps professional with strong experience supporting cloud infrastructure, containerized environments, automation, CI/CD processes, and Linux-based systems. The Senior DevOps Engineer will work closely with software development and engineering teams to build, deploy, automate, monitor, and maintain reliable and scalable infrastructure. The successful candidate will have hands-on experience with AWS, Kubernetes, infrastructure-as-code technologies, scripting, and modern DevOps practices. Key Responsibilities Develop, deploy, and maintain cloud infrastructure within AWS environments, with a particular focus on Amazon EKS. Support deployment and maintenance of on-premises, edge, and portable infrastructure environments. Build and improve automated deployment processes to increase reliability, scalability, and operational efficiency. Deploy, manage, and troubleshoot Kubernetes-based container environments. Partner with software development teams to integrate applications into cloud and infrastructure environments. Monitor production systems, identify performance or availability issues, and perform troubleshooting and remediation. Develop and maintain infrastructure-as-code and configuration-management solutions using tools such as Terraform and Ansible. Support CI/CD and automated software deployment processes. Administer and troubleshoot Linux-based systems. Develop automation and operational tooling using languages such as Python, Bash, or Go. Evaluate emerging technologies and recommend improvements to infrastructure, automation, reliability, and performance. Support additional technical and operational requirements as mission needs evolve. Requirements: Active TS/SCI U.S. Government security clearance . U.S. citizenship required due to security clearance requirements. Bachelor's degree in a related technical discipline with 9+ years of relevant experience ; OR a master's degree with 7+ years of relevant experience ; OR a high school diploma/equivalent with 13+ years of relevant experience . Strong experience with Kubernetes or comparable container orchestration technologies. Hands-on experience with AWS services, including EKS, EC2, EBS, S3, and Lambda . Experience with infrastructure-as-code and configuration-management tools such as Terraform and Ansible . Experience deploying, scaling, managing, and troubleshooting applications, containers, and operating systems. Programming or scripting experience using Python, Bash, Go, or similar languages . Experience with Git and modern development/deployment tools. Strong Linux system administration and troubleshooting skills. Understanding of Agile software development practices. Strong analytical, troubleshooting, written, and verbal communication skills. Current DoD 8140/8570-compliant certification , such as Security+, or the ability to obtain an approved certification within the required timeframe after hire. Ability to work onsite at Fort Belvoir, VA, five days per week and travel occasionally as mission requirements dictate. Preferred Qualifications Experience supporting big-data or distributed-data technologies such as Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, Elasticsearch, Hive, Trino, Presto, or similar platforms. Experience with K9s and AWS CLI. Familiarity with additional AWS services such as SNS and SQS. Experience supporting highly available, mission-critical systems in secure government environments. Join Phoenix Ops Group At Phoenix Ops Group, you'll have the opportunity to contribute your expertise to challenging technical missions while working alongside experienced engineering and technology professionals. We're looking for collaborative problem-solvers who enjoy building reliable systems, improving automation, and delivering solutions that make an impact. Benefits Offered: Medical, Dental, Vision Insurance - 100% Company Paid Premiums STD, LTD, and Life Insurance - 100% Company paid 401K - Automatic 10% company contribution; no matching required PTO - 4 weeks/year Holidays - 11 paid/year Birthdays off with pay Referral Bonuses - Upfront AND Annually Recurring Open Source Bonuses - Contribute to our Github projects Professional Development - Paid training, Certifications, and Enrichment ABOUT PHOENIX OPERATIONS GROUP: Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers. Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives. Please visit us at for more information. Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. In this role, you'll architect scalable solutions that connect the systems powering Braze while helping redefine how employees interact with IT through conversational experiences, automation, and self-service. You'll lead complex technical initiatives from concept through delivery, building integrations that span platforms such as Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other critical business systems. You'll partner closely with Security, Infrastructure, Product, and IT teams to build reliable, scalable solutions that reduce operational overhead and improve the employee experience. This role goes beyond traditional system engineering. We're looking for someone who enjoys solving business problems through software, APIs, automation, and AI. You'll help shape our long-term strategy around enterprise integrations, intelligent workflows, and agentic experiences that enable employees to get work done faster and more intuitively. You'll be part of a team that values reliability, resiliency, scalability, extensibility, and thoughtful engineering. We operate with a shared sense of ownership, continuously look for opportunities to automate manual work, and embrace emerging technologies that allow us to scale efficiently while delivering exceptional internal experiences. If you enjoy designing enterprise architecture, building integrations, and leveraging AI to modernize how organizations operate, we'd love to meet you. You'll lead initiatives that shape the future of enterprise technology at Braze, including: Enterprise Automation & AI: Design and build intelligent automation that streamlines business processes across enterprise platforms. Leverage AI, agentic workflows, and modern integration patterns to reduce manual effort, improve operational efficiency, and enhance employee productivity Enterprise Integrations: Design and develop scalable integrations across platforms including Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS applications. Build APIs, middleware, and event-driven workflows that create seamless employee experiences Conversational IT & Self-Service: Help evolve how employees interact with IT by building conversational interfaces and self-service experiences that reduce reliance on traditional ticket-based workflows while improving service delivery and employee satisfaction Enterprise Platform Architecture: Design scalable, resilient solutions that improve how enterprise platforms communicate and operate together. Evaluate architecture decisions with long-term maintainability, extensibility, and operational excellence in mind AI Platform Enablement: Evaluate, pilot, and implement emerging AI technologies, large language models, MCP integrations, and agent frameworks that enable intelligent automation across enterprise systems while establishing best practices for responsible adoption Automation & Developer Experience: Build reusable automation frameworks, integration services, and internal tooling that accelerate delivery, reduce operational toil, and improve the maintainability of enterprise platforms Governance & Operational Excellence: Partner with Security, Compliance, and Infrastructure teams to ensure enterprise solutions meet governance requirements while maintaining simplicity, scalability, and operational maturity. Document architecture, implementation decisions, and operational processes following governance and compliance standards Innovation & Emerging Technology: Continuously research emerging technologies, integration capabilities, and AI advancements that can improve scalability, reduce operational complexity, and create new opportunities for automation Strategy & Technical Leadership: Contribute to enterprise platform strategy and long-term technical roadmaps. Provide technical leadership on complex initiatives while mentoring engineers on automation, integration, and software engineering best practices WHO YOU ARE 8+ years of experience designing enterprise-scale integrations and automation across modern SaaS environments Strong software engineering background with experience building APIs, integrations, automation, or platform services Proficient in one or more programming languages such as Python, Go, TypeScript, or JavaScript Experienced working with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards Familiar with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, Google Workspace, or similar SaaS ecosystems Skilled in designing scalable architectures that balance business requirements, security, and operational simplicity Experienced collaborating across engineering, security, infrastructure, and business teams to deliver impactful technical solutions Passionate about leveraging AI, automation, and software engineering to solve operational challenges Curious, collaborative, and motivated by continuous improvement and thoughtful systems design Bonus: Experience implementing AI agents, MCP integrations, LLM-powered workflows, or enterprise AI platforms Experience with Terraform, Infrastructure as Code, or cloud automation tooling Experience with event-driven architectures, message queues, or serverless technologies Experience integrating Workday, Okta, Atlassian Cloud, Slack Platform, GitHub Enterprise, or Google Workspace APIs Familiarity with cloud platforms such as AWS, GCP, or Azure Experience building internal developer platforms or enterprise integration frameworks Experience supporting high-growth SaaS organizations with complex enterprise technology environments For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $116,000 and $182,000/year with an expected On Target Earnings (OTE) between $129,000 and $202,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models . click apply for full job details
10/31/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. In this role, you'll architect scalable solutions that connect the systems powering Braze while helping redefine how employees interact with IT through conversational experiences, automation, and self-service. You'll lead complex technical initiatives from concept through delivery, building integrations that span platforms such as Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other critical business systems. You'll partner closely with Security, Infrastructure, Product, and IT teams to build reliable, scalable solutions that reduce operational overhead and improve the employee experience. This role goes beyond traditional system engineering. We're looking for someone who enjoys solving business problems through software, APIs, automation, and AI. You'll help shape our long-term strategy around enterprise integrations, intelligent workflows, and agentic experiences that enable employees to get work done faster and more intuitively. You'll be part of a team that values reliability, resiliency, scalability, extensibility, and thoughtful engineering. We operate with a shared sense of ownership, continuously look for opportunities to automate manual work, and embrace emerging technologies that allow us to scale efficiently while delivering exceptional internal experiences. If you enjoy designing enterprise architecture, building integrations, and leveraging AI to modernize how organizations operate, we'd love to meet you. You'll lead initiatives that shape the future of enterprise technology at Braze, including: Enterprise Automation & AI: Design and build intelligent automation that streamlines business processes across enterprise platforms. Leverage AI, agentic workflows, and modern integration patterns to reduce manual effort, improve operational efficiency, and enhance employee productivity Enterprise Integrations: Design and develop scalable integrations across platforms including Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS applications. Build APIs, middleware, and event-driven workflows that create seamless employee experiences Conversational IT & Self-Service: Help evolve how employees interact with IT by building conversational interfaces and self-service experiences that reduce reliance on traditional ticket-based workflows while improving service delivery and employee satisfaction Enterprise Platform Architecture: Design scalable, resilient solutions that improve how enterprise platforms communicate and operate together. Evaluate architecture decisions with long-term maintainability, extensibility, and operational excellence in mind AI Platform Enablement: Evaluate, pilot, and implement emerging AI technologies, large language models, MCP integrations, and agent frameworks that enable intelligent automation across enterprise systems while establishing best practices for responsible adoption Automation & Developer Experience: Build reusable automation frameworks, integration services, and internal tooling that accelerate delivery, reduce operational toil, and improve the maintainability of enterprise platforms Governance & Operational Excellence: Partner with Security, Compliance, and Infrastructure teams to ensure enterprise solutions meet governance requirements while maintaining simplicity, scalability, and operational maturity. Document architecture, implementation decisions, and operational processes following governance and compliance standards Innovation & Emerging Technology: Continuously research emerging technologies, integration capabilities, and AI advancements that can improve scalability, reduce operational complexity, and create new opportunities for automation Strategy & Technical Leadership: Contribute to enterprise platform strategy and long-term technical roadmaps. Provide technical leadership on complex initiatives while mentoring engineers on automation, integration, and software engineering best practices WHO YOU ARE 8+ years of experience designing enterprise-scale integrations and automation across modern SaaS environments Strong software engineering background with experience building APIs, integrations, automation, or platform services Proficient in one or more programming languages such as Python, Go, TypeScript, or JavaScript Experienced working with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards Familiar with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, Google Workspace, or similar SaaS ecosystems Skilled in designing scalable architectures that balance business requirements, security, and operational simplicity Experienced collaborating across engineering, security, infrastructure, and business teams to deliver impactful technical solutions Passionate about leveraging AI, automation, and software engineering to solve operational challenges Curious, collaborative, and motivated by continuous improvement and thoughtful systems design Bonus: Experience implementing AI agents, MCP integrations, LLM-powered workflows, or enterprise AI platforms Experience with Terraform, Infrastructure as Code, or cloud automation tooling Experience with event-driven architectures, message queues, or serverless technologies Experience integrating Workday, Okta, Atlassian Cloud, Slack Platform, GitHub Enterprise, or Google Workspace APIs Familiarity with cloud platforms such as AWS, GCP, or Azure Experience building internal developer platforms or enterprise integration frameworks Experience supporting high-growth SaaS organizations with complex enterprise technology environments For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $116,000 and $182,000/year with an expected On Target Earnings (OTE) between $129,000 and $202,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models . click apply for full job details
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO As a Senior Security Engineer on the Enterprise Security team, you'll protect Braze employees, their devices, and our work locations. You'll investigate malware and advanced threats, secure our SaaS applications, harden internal configurations, propose security architecture improvements, and build the alerts and reports that keep the team ahead of risk. You'll own core security infrastructure that sits at the center of Enterprise Security operations and works closely with Cloud Security, App Security, and Information Technology. That means developing and enforcing policies, expanding our SIEM capabilities with partners across the business, and evaluating vendor and partner technologies for security gaps. Your day-to-day spans threat and malware investigations, SaaS security, AI security, architecture review, MDM, communications management, and vulnerability remediation. You'll secure communications, support compliance efforts, and automate wherever it reduces toil. You'll work both independently and cross-functionally, and you'll mentor junior engineers on security fundamentals. You'll have the opportunity to implement DLP where needed as well as secure AI as it develops and is used to drive business function. As a senior team member, you'll help build functionality for a high-scale, growing customer base, collaborate with diverse security professionals, address unique security challenges, participate in on-call rotations, and respond to critical incidents. Responsibilities: Design, implement, and operate security solutions that protect Braze's employees, devices, and infrastructure, scaling them as the organization grows Expand SIEM and automation capabilities: build and tune detections, improve alerting, and automate detection and reporting pipelines, including prioritizing data ingestion and keeping systems healthy Review and govern MCP and AI agent integrations, set controls for AI-assisted coding environments, and define policy for autonomous AI tooling across the company Secure SaaS applications and internal systems through policy design, control enforcement, and configuration hardening Lead security activities across the enterprise stack, including vulnerability testing and analysis, security event investigation, and evaluation of new tools and technologies to reduce business risk Serve as a key decision maker on internal product and system deployments, and ensure teams build in line with security policy and best practice Act as a secondary resource for adjacent domains, (AppSec, compliance, cloud security, system security) in a fast-moving environment Participate in an on-call rotation and partner with IT, Devops, Escalations, and other members of security to respond to critical incidents and escalations Experience maintaining corporate MDM on macbooks, and mobile devices Experience in scripting and light coding Investigate and respond to malware, social engineering, and phishing independently This role is a key decision maker regarding internal product and system deployments Mature our Zero Trust environment and serve as the subject-matter expert on proxy, network, and VPN considerations WHO YOU ARE Qualifications: 5+ years of Security Engineering experience with a strong focus on enterprise security, network security, endpoint security 4+ years of experience working in a corporate security organization/environment with hands on, technical, user facing implementation Prior experience working as a technical authority in a team environment, deep hands-on technical expertise, not just admin-level familiarity. You understand how the technology works internally and what goes on behind the scenes Professional experience with the modern tech stack and protecting SaaS applications. Direct technical and hands on experience with securing Email, Mac endpoints, IAM ( okta and Gsuite ), Crowdstrike EDR, SOAR, Enterprise networking security ( both endpoint and infra ), and Forensics Past experience conducting end-to-end security reviews of SaaS applications, Data access and movement, Technical architecture, authentication and authorization controls, and contractual security requirements, to ensure third-party tools meet organizational security standards Past experience leading the design, implementation, and continuous tuning of security programs across laptop endpoint and networks; leading policy development, incident triage, data classification alignment, and cross-functional collaboration to prevent unauthorized exfiltration of sensitive data A self-starter with great communication and organizational skills Bonus: Forensics experience Cloud security experience Technical Security Certifications that delve deeper than high level concepts Experience with being a foundational security engineer and/or building a new security team ground up For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,900 and $180,000/year with an expected On Target Earnings (OTE) between $143,200 and $200,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze . click apply for full job details
10/31/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO As a Senior Security Engineer on the Enterprise Security team, you'll protect Braze employees, their devices, and our work locations. You'll investigate malware and advanced threats, secure our SaaS applications, harden internal configurations, propose security architecture improvements, and build the alerts and reports that keep the team ahead of risk. You'll own core security infrastructure that sits at the center of Enterprise Security operations and works closely with Cloud Security, App Security, and Information Technology. That means developing and enforcing policies, expanding our SIEM capabilities with partners across the business, and evaluating vendor and partner technologies for security gaps. Your day-to-day spans threat and malware investigations, SaaS security, AI security, architecture review, MDM, communications management, and vulnerability remediation. You'll secure communications, support compliance efforts, and automate wherever it reduces toil. You'll work both independently and cross-functionally, and you'll mentor junior engineers on security fundamentals. You'll have the opportunity to implement DLP where needed as well as secure AI as it develops and is used to drive business function. As a senior team member, you'll help build functionality for a high-scale, growing customer base, collaborate with diverse security professionals, address unique security challenges, participate in on-call rotations, and respond to critical incidents. Responsibilities: Design, implement, and operate security solutions that protect Braze's employees, devices, and infrastructure, scaling them as the organization grows Expand SIEM and automation capabilities: build and tune detections, improve alerting, and automate detection and reporting pipelines, including prioritizing data ingestion and keeping systems healthy Review and govern MCP and AI agent integrations, set controls for AI-assisted coding environments, and define policy for autonomous AI tooling across the company Secure SaaS applications and internal systems through policy design, control enforcement, and configuration hardening Lead security activities across the enterprise stack, including vulnerability testing and analysis, security event investigation, and evaluation of new tools and technologies to reduce business risk Serve as a key decision maker on internal product and system deployments, and ensure teams build in line with security policy and best practice Act as a secondary resource for adjacent domains, (AppSec, compliance, cloud security, system security) in a fast-moving environment Participate in an on-call rotation and partner with IT, Devops, Escalations, and other members of security to respond to critical incidents and escalations Experience maintaining corporate MDM on macbooks, and mobile devices Experience in scripting and light coding Investigate and respond to malware, social engineering, and phishing independently This role is a key decision maker regarding internal product and system deployments Mature our Zero Trust environment and serve as the subject-matter expert on proxy, network, and VPN considerations WHO YOU ARE Qualifications: 5+ years of Security Engineering experience with a strong focus on enterprise security, network security, endpoint security 4+ years of experience working in a corporate security organization/environment with hands on, technical, user facing implementation Prior experience working as a technical authority in a team environment, deep hands-on technical expertise, not just admin-level familiarity. You understand how the technology works internally and what goes on behind the scenes Professional experience with the modern tech stack and protecting SaaS applications. Direct technical and hands on experience with securing Email, Mac endpoints, IAM ( okta and Gsuite ), Crowdstrike EDR, SOAR, Enterprise networking security ( both endpoint and infra ), and Forensics Past experience conducting end-to-end security reviews of SaaS applications, Data access and movement, Technical architecture, authentication and authorization controls, and contractual security requirements, to ensure third-party tools meet organizational security standards Past experience leading the design, implementation, and continuous tuning of security programs across laptop endpoint and networks; leading policy development, incident triage, data classification alignment, and cross-functional collaboration to prevent unauthorized exfiltration of sensitive data A self-starter with great communication and organizational skills Bonus: Forensics experience Cloud security experience Technical Security Certifications that delve deeper than high level concepts Experience with being a foundational security engineer and/or building a new security team ground up For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,900 and $180,000/year with an expected On Target Earnings (OTE) between $143,200 and $200,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze . click apply for full job details
This job is with lululemon, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description & Requirements Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. About this team The Data & AI Security team is responsible for protecting the organization's most critical data and AI assets while enabling responsible, scalable innovation. We build and operate Data Security Posture Management (DSPM) and AI Security Posture Management (AISPM) capabilities across a complex, global ecosystem. Our work is highly cross-functional, partnering with Data & Analytics, Engineering, Legal, Privacy, and GRC teams to embed security by design while keeping the organization fast, compliant, and resilient. Our focus is on visibility, prevention, and remediation at scale, balancing strong security controls with minimum business friction. The Senior Cybersecurity Engineer is responsible for securing the organization's AI ecosystem by discovering, assessing, and mitigating risks associated with AI models, data usage, model lifecycle, and AI-driven workflows. This role partners closely with Data Governance, Platform Engineering, and Security Architecture to enable safe and scalable AI adoption while ensuring regulatory, privacy, and corporate policy alignment. Core responsibilities As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems at scale. You will build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation. You will partner closely with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands-on technical leadership and knowledge sharing. Select responsibilities include: Build enterprise security systems implementing centralized authentication, security platforms, and organization-wide controls Lead comprehensive threat modeling and security assessments for complex systems, evaluating attacker behaviour across integrations and influencing secure design decisions early in the development lifecycle Own end-to-end response for complex security incidents, driving deep root cause analysis and delivering coordinated long-term improvements to detection, prevention, and security monitoring capabilities Develop advanced security code, tools, and libraries including security automation platforms, scanners and detectors, security testing systems, and security SDKs Establish security code standards defining secure coding practices, code review requirements, and implementation quality Qualifications Bachelor's degree in Computer Science , Cybersecurity, or related field; security certification strongly preferred 6-10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent. Experience with Data Security Posture Management (DSPM), Data Loss Prevention (DLP), AI Security Posture Management (AISPM), or related data security technologies, including data discovery, classification, run time monitoring, and policy enforcement across enterprise and cloud environments. Experience owning, operating, or maturing enterprise security platforms and capabilities, including operationalization, roadmap execution, adoption, and continuous improvement. Strong systems engineering mindset with experience designing scalable solutions, integrations, automation, and operational processes. Experience translating security findings into prioritized remediation plans and measurable risk reduction outcomes. Experience identifying and mitigating risks associated with sensitive data exposure, AI-enabled solutions, cloud data platforms, and emerging technologies. Proven ability to lead enterprise-scale security capabilities and initiatives, driving alignment, adoption, and measurable outcomes across technical and business teams Experience defining metrics, reporting, operational processes, and service models that support sustainable security capabilities at enterprise scale. Strong communication and collaboration skills, with the ability to explain complex technical concepts and influence decisions across engineering, cybersecurity, data, privacy, legal, and business teams. Experience mentoring engineers and contributing to technical direction, best practices, and capability maturity within a security engineering organization. Must haves Acknowledge the presence of choice in every moment and take personal responsibility for your life. Possess an entrepreneurial spirit and continuously innovate to achieve great results. Communicate with honesty and kindness and create the space for others to do the same. Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. Foster connection by putting people first and building trusting relationships. Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously. Please Note: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time for this role. Compensation and benefits package lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $147,300 - $193,300 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements. At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth: Extended health and dental benefits, and mental health plans Paid time off Savings and retirement plan matching Generous employee discount Fitness & yoga classes Parenthood top-up Extensive catalog of development course offerings People networks, mentorship programs, and leadership series (to name a few) Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice. Workplace arrangement This role is classified as In-Person under our SSC Workplace Policy: In-person collaboration and/or office-based work is necessary or important for the role. Work is mainly performed onsite, 4-5 days per week depending on role requirements.
10/31/2026
Full time
This job is with lululemon, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description & Requirements Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. About this team The Data & AI Security team is responsible for protecting the organization's most critical data and AI assets while enabling responsible, scalable innovation. We build and operate Data Security Posture Management (DSPM) and AI Security Posture Management (AISPM) capabilities across a complex, global ecosystem. Our work is highly cross-functional, partnering with Data & Analytics, Engineering, Legal, Privacy, and GRC teams to embed security by design while keeping the organization fast, compliant, and resilient. Our focus is on visibility, prevention, and remediation at scale, balancing strong security controls with minimum business friction. The Senior Cybersecurity Engineer is responsible for securing the organization's AI ecosystem by discovering, assessing, and mitigating risks associated with AI models, data usage, model lifecycle, and AI-driven workflows. This role partners closely with Data Governance, Platform Engineering, and Security Architecture to enable safe and scalable AI adoption while ensuring regulatory, privacy, and corporate policy alignment. Core responsibilities As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems at scale. You will build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation. You will partner closely with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands-on technical leadership and knowledge sharing. Select responsibilities include: Build enterprise security systems implementing centralized authentication, security platforms, and organization-wide controls Lead comprehensive threat modeling and security assessments for complex systems, evaluating attacker behaviour across integrations and influencing secure design decisions early in the development lifecycle Own end-to-end response for complex security incidents, driving deep root cause analysis and delivering coordinated long-term improvements to detection, prevention, and security monitoring capabilities Develop advanced security code, tools, and libraries including security automation platforms, scanners and detectors, security testing systems, and security SDKs Establish security code standards defining secure coding practices, code review requirements, and implementation quality Qualifications Bachelor's degree in Computer Science , Cybersecurity, or related field; security certification strongly preferred 6-10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent. Experience with Data Security Posture Management (DSPM), Data Loss Prevention (DLP), AI Security Posture Management (AISPM), or related data security technologies, including data discovery, classification, run time monitoring, and policy enforcement across enterprise and cloud environments. Experience owning, operating, or maturing enterprise security platforms and capabilities, including operationalization, roadmap execution, adoption, and continuous improvement. Strong systems engineering mindset with experience designing scalable solutions, integrations, automation, and operational processes. Experience translating security findings into prioritized remediation plans and measurable risk reduction outcomes. Experience identifying and mitigating risks associated with sensitive data exposure, AI-enabled solutions, cloud data platforms, and emerging technologies. Proven ability to lead enterprise-scale security capabilities and initiatives, driving alignment, adoption, and measurable outcomes across technical and business teams Experience defining metrics, reporting, operational processes, and service models that support sustainable security capabilities at enterprise scale. Strong communication and collaboration skills, with the ability to explain complex technical concepts and influence decisions across engineering, cybersecurity, data, privacy, legal, and business teams. Experience mentoring engineers and contributing to technical direction, best practices, and capability maturity within a security engineering organization. Must haves Acknowledge the presence of choice in every moment and take personal responsibility for your life. Possess an entrepreneurial spirit and continuously innovate to achieve great results. Communicate with honesty and kindness and create the space for others to do the same. Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. Foster connection by putting people first and building trusting relationships. Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously. Please Note: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time for this role. Compensation and benefits package lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $147,300 - $193,300 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements. At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth: Extended health and dental benefits, and mental health plans Paid time off Savings and retirement plan matching Generous employee discount Fitness & yoga classes Parenthood top-up Extensive catalog of development course offerings People networks, mentorship programs, and leadership series (to name a few) Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice. Workplace arrangement This role is classified as In-Person under our SSC Workplace Policy: In-person collaboration and/or office-based work is necessary or important for the role. Work is mainly performed onsite, 4-5 days per week depending on role requirements.
Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.
10/31/2026
Full time
Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.
LexisNexis Legal & Professional
Horsham, Pennsylvania
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
10/31/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
BNY seeks a Senior Vice President, Solution Architect to lead the design of secure, scalable solutions across our global asset servicing, investment management, and digital banking platforms. In this senior role, you will define target architectures, standards, and patterns that align technology strategy with business goals and regulatory requirements. You will partner with product, engineering, risk, and operations teams to deliver end-to-end solutions, govern architecture through reviews and roadmaps, mitigate technical and security risks, and mentor architects and engineers in a culture of innovation, integrity, and client focus. Responsibilities Lead architecture design for complex finance and insurance solutions across BNY's global platforms Align technology roadmaps with business strategy, regulatory needs, and client requirements Define reference architectures, standards, and patterns for scalable, secure systems Collaborate with product, engineering, risk, and business stakeholders to design end-to-end solutions Evaluate and select technologies, cloud services, and integration approaches Govern solution designs through review, documentation, and architecture boards Mitigate technical, security, and operational risks in proposed solutions Mentor architects and engineers, fostering best practices and innovation Required Skills Enterprise and solution architecture Cloud architecture (AWS/Azure/GCP) Microservices and API design Security and risk management in regulated environments Data architecture and integration (ETL, messaging, streaming) Design of highly available, scalable systems Regulatory and compliance awareness (e.g., Basel, CCAR, SOX) Architecture governance and standards Stakeholder management and communication Technical leadership and mentoring
10/31/2026
Full time
BNY seeks a Senior Vice President, Solution Architect to lead the design of secure, scalable solutions across our global asset servicing, investment management, and digital banking platforms. In this senior role, you will define target architectures, standards, and patterns that align technology strategy with business goals and regulatory requirements. You will partner with product, engineering, risk, and operations teams to deliver end-to-end solutions, govern architecture through reviews and roadmaps, mitigate technical and security risks, and mentor architects and engineers in a culture of innovation, integrity, and client focus. Responsibilities Lead architecture design for complex finance and insurance solutions across BNY's global platforms Align technology roadmaps with business strategy, regulatory needs, and client requirements Define reference architectures, standards, and patterns for scalable, secure systems Collaborate with product, engineering, risk, and business stakeholders to design end-to-end solutions Evaluate and select technologies, cloud services, and integration approaches Govern solution designs through review, documentation, and architecture boards Mitigate technical, security, and operational risks in proposed solutions Mentor architects and engineers, fostering best practices and innovation Required Skills Enterprise and solution architecture Cloud architecture (AWS/Azure/GCP) Microservices and API design Security and risk management in regulated environments Data architecture and integration (ETL, messaging, streaming) Design of highly available, scalable systems Regulatory and compliance awareness (e.g., Basel, CCAR, SOX) Architecture governance and standards Stakeholder management and communication Technical leadership and mentoring
Job Description Job Description Title- Senior Data Architect Location- Oakland, CA or Rancho Cordova, CA. (HYBRID) Position is contract-to-hire. Onsite required 2 days per week in either Oakland, CA or Rancho Cordova, CA. Work Schedule (Shift/Work Hours):Hybrid - 2 days onsite Job Information Job Taxonomy:Expert Data ArchitectJob Title:Senior Data ArchitectJob Category:01894Job Description: Job Description The Senior Data Architect will design and implement scalable data solutions using the latest and advanced technology and toolsets. This role offers the right candidate the rare opportunity to leverage their extensive background to design and architect scalable, secure, and modern cloud-native data solutions. The role will also be responsible for working closely with business partners and IT leadership to understand the organization's business requirements and work with the broader IT team to enable/build new capabilities in our data platform that will support the current needs and scale to accommodate future growth. Responsibilities Lead the design and architecture of end-to-end data solutions, translating business strategy and requirements into scalable, secure, high-performing architectures. Define target-state data architectures and blueprints, including data flows, integration patterns, storage strategies, data processing, and consumption layers. Establish and govern standard architecture patterns for data ingestion, transformation (ETL/ELT), integration, interoperability, and data sharing across platforms and domains. Architect scalable and resilient data pipelines and workflows, optimizing for performance, cost, reliability, and operational efficiency. Design cloud-native data architectures that leverage modern data platforms for elasticity, resilience, modularity, and scalability. Enable AI/ML capabilities through data architectures that support experimentation, feature engineering, model development, deployment, and production consumption. Incorporate data governance, security, privacy, and compliance by design, including access controls, data classification, masking, lineage, and regulatory requirements. Design for interoperability and seamless data exchange across applications, data domains, platforms, and external systems. Lead the evaluation and selection of data technologies and platforms in partnership with IT, Enterprise Architecture, and business stakeholders, ensuring alignment with enterprise capabilities and strategy. Collaborate with Enterprise Architecture, Infrastructure, Application Development, Data Engineering, and business teams to define technology roadmaps, capabilities, and solution strategies. Provide architectural oversight and governance for data solutions and cloud-native data platforms, ensuring adherence to enterprise standards and addressing risks, gaps, dependencies, and architectural trade-offs. Drive innovation through feasibility assessments, POCs, and pilots, evaluating emerging technologies and validating new architectural approaches. Provide architectural oversight for vendor and third-party data solutions, ensuring alignment with enterprise architecture, security, integration, and data standards. Participate in architecture governance forums, contributing to design reviews, architecture decisions, approvals, and continuous improvement of enterprise data architecture. Mentor and guide data architects and engineers, promoting architecture best practices, design excellence, and continued capability development. Qualifications 4 years of experience in modern cloud data architecture or related fields, with a Bachelors degree in Computer Science or a related discipline. Deep understanding of modern data and analytics platforms and technologies, including Snowflake, Matillion, Microsoft Fabric, Power BI, Tableau, and other industry-leading solutions. Proven experience designing and delivering enterprise data solutions, including data warehousing, data lakes, lakehouse architectures, data management, integration, and analytics platforms. Extensive experience architecting end-to-end, scalable data platforms using modern cloud technologies, preferably Microsoft Azure, with experience in cloud-native, hybrid, or multi-cloud architectures. Strong ability to translate business requirements into scalable data architectures and solutions, with excellent communication skills to articulate complex technical concepts to technical and non-technical stakeholders. Strong understanding of data architecture patterns and technology capabilities across ingestion, storage, processing, analytics, APIs, and microservices, with the ability to evaluate and select appropriate technologies. Experience collaborating with vendors and third-party partners to deliver solutions aligned with enterprise architecture, security, and data standards. Strong foundation in data governance, data quality, security, privacy, and regulatory compliance within enterprise data environments. Excellent stakeholder management and communication skills, with the ability to influence decisions, facilitate collaboration, and drive alignment across cross-functional teams. Experience architecting data platforms that enable advanced analytics, AI/ML, MCP, and Generative AI use cases, while maintaining appropriate governance, security, scalability, and performance.
10/31/2026
Full time
Job Description Job Description Title- Senior Data Architect Location- Oakland, CA or Rancho Cordova, CA. (HYBRID) Position is contract-to-hire. Onsite required 2 days per week in either Oakland, CA or Rancho Cordova, CA. Work Schedule (Shift/Work Hours):Hybrid - 2 days onsite Job Information Job Taxonomy:Expert Data ArchitectJob Title:Senior Data ArchitectJob Category:01894Job Description: Job Description The Senior Data Architect will design and implement scalable data solutions using the latest and advanced technology and toolsets. This role offers the right candidate the rare opportunity to leverage their extensive background to design and architect scalable, secure, and modern cloud-native data solutions. The role will also be responsible for working closely with business partners and IT leadership to understand the organization's business requirements and work with the broader IT team to enable/build new capabilities in our data platform that will support the current needs and scale to accommodate future growth. Responsibilities Lead the design and architecture of end-to-end data solutions, translating business strategy and requirements into scalable, secure, high-performing architectures. Define target-state data architectures and blueprints, including data flows, integration patterns, storage strategies, data processing, and consumption layers. Establish and govern standard architecture patterns for data ingestion, transformation (ETL/ELT), integration, interoperability, and data sharing across platforms and domains. Architect scalable and resilient data pipelines and workflows, optimizing for performance, cost, reliability, and operational efficiency. Design cloud-native data architectures that leverage modern data platforms for elasticity, resilience, modularity, and scalability. Enable AI/ML capabilities through data architectures that support experimentation, feature engineering, model development, deployment, and production consumption. Incorporate data governance, security, privacy, and compliance by design, including access controls, data classification, masking, lineage, and regulatory requirements. Design for interoperability and seamless data exchange across applications, data domains, platforms, and external systems. Lead the evaluation and selection of data technologies and platforms in partnership with IT, Enterprise Architecture, and business stakeholders, ensuring alignment with enterprise capabilities and strategy. Collaborate with Enterprise Architecture, Infrastructure, Application Development, Data Engineering, and business teams to define technology roadmaps, capabilities, and solution strategies. Provide architectural oversight and governance for data solutions and cloud-native data platforms, ensuring adherence to enterprise standards and addressing risks, gaps, dependencies, and architectural trade-offs. Drive innovation through feasibility assessments, POCs, and pilots, evaluating emerging technologies and validating new architectural approaches. Provide architectural oversight for vendor and third-party data solutions, ensuring alignment with enterprise architecture, security, integration, and data standards. Participate in architecture governance forums, contributing to design reviews, architecture decisions, approvals, and continuous improvement of enterprise data architecture. Mentor and guide data architects and engineers, promoting architecture best practices, design excellence, and continued capability development. Qualifications 4 years of experience in modern cloud data architecture or related fields, with a Bachelors degree in Computer Science or a related discipline. Deep understanding of modern data and analytics platforms and technologies, including Snowflake, Matillion, Microsoft Fabric, Power BI, Tableau, and other industry-leading solutions. Proven experience designing and delivering enterprise data solutions, including data warehousing, data lakes, lakehouse architectures, data management, integration, and analytics platforms. Extensive experience architecting end-to-end, scalable data platforms using modern cloud technologies, preferably Microsoft Azure, with experience in cloud-native, hybrid, or multi-cloud architectures. Strong ability to translate business requirements into scalable data architectures and solutions, with excellent communication skills to articulate complex technical concepts to technical and non-technical stakeholders. Strong understanding of data architecture patterns and technology capabilities across ingestion, storage, processing, analytics, APIs, and microservices, with the ability to evaluate and select appropriate technologies. Experience collaborating with vendors and third-party partners to deliver solutions aligned with enterprise architecture, security, and data standards. Strong foundation in data governance, data quality, security, privacy, and regulatory compliance within enterprise data environments. Excellent stakeholder management and communication skills, with the ability to influence decisions, facilitate collaboration, and drive alignment across cross-functional teams. Experience architecting data platforms that enable advanced analytics, AI/ML, MCP, and Generative AI use cases, while maintaining appropriate governance, security, scalability, and performance.
