Job Description Job Description Mobile Test Engineer Job Description (JD) Job Title Mobile Test Engineer Job Summary We are seeking a skilled Mobile Test Engineer to ensure the quality, performance, usability, and security of Android and iOS mobile applications. The ideal candidate should have experience in manual and automation testing, mobile testing tools such as Appium, API testing, performance testing, and CI/CD integration. The role involves validating mobile applications across multiple devices, operating systems, and network conditions. Key Responsibilities Design, develop, and execute test plans and test cases for mobile applications. Perform manual and automated testing for Android and iOS applications. Develop and maintain mobile automation frameworks using Appium. Validate application functionality, usability, compatibility, performance, and security. Test application behavior across multiple devices, OS versions, and screen sizes. Execute regression, smoke, sanity, integration, and end-to-end testing. Perform API testing using Postman or REST Assured. Identify, report, and track defects using defect management tools. Integrate mobile automation with CI/CD pipelines. Collaborate with developers, product managers, QA teams, and DevOps engineers. Prepare test reports and maintain testing documentation. Required Skills Mobile Testing Android Testing iOS Testing Mobile Application Testing Functional Testing Regression Testing Smoke Testing Sanity Testing Compatibility Testing Installation & Upgrade Testing Localization Testing Accessibility Testing Network Interruption Testing Push Notification Testing Mobile Automation Appium Espresso (Android) XCUITest (iOS) Selenium WebDriver (Hybrid Apps) Programming Languages: Java Python JavaScript C# Automation Frameworks: TestNG JUnit PyTest Cucumber (BDD) Framework Design: Page Object Model (POM) Data-Driven Framework Hybrid Framework Mobile Platforms Android Android Studio ADB (Android Debug Bridge) APK Installation Logcat Emulator Testing iOS Xcode Simulator IPA Installation TestFlight iOS Provisioning API Testing REST API Testing Postman REST Assured JSON Validation XML Validation Database Testing SQL MySQL PostgreSQL Oracle SQL Server Knowledge of: CRUD Operations Data Validation SQL Joins CI/CD & DevOps Jenkins Git GitHub GitLab Azure DevOps Maven Gradle Docker Responsibilities: Integrate Appium automation into CI/CD pipelines. Schedule automated mobile regression testing. Publish automation reports. Cloud Device Testing Experience with: BrowserStack Sauce Labs LambdaTest Firebase Test Lab AWS Device Farm Performance Testing Preferred knowledge of: JMeter Android Profiler Xcode Instruments Battery Usage Analysis Memory Leak Detection CPU Usage Monitoring Security Testing Basic understanding of: OWASP Mobile Security Authentication Testing Data Encryption Secure Storage Validation Certificate Pinning Reporting & Defect Management Tools: JIRA Azure DevOps Bugzilla ALM/Quality Center Reporting: Extent Reports Allure Reports TestNG Reports Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 2 6 years of experience in mobile application testing. Experience in both Android and iOS platforms. Strong knowledge of Agile/Scrum methodologies. Experience in mobile automation using Appium. Nice to Have Skills Flutter app testing React Native testing Kotlin basics Swift basics Performance testing using JMeter API Automation Playwright or Selenium Firebase Mobile Analytics AI-assisted testing tools Sample Project Responsibilities Automate Android and iOS application testing using Appium. Validate mobile application functionality across different devices and OS versions. Perform API validation for mobile backend services. Execute regression suites in Jenkins. Verify push notifications, offline mode, and network switching scenarios. Test application installation, upgrades, and uninstallation. Perform performance and battery usage testing. Sample Mobile Automation Framework Framework Components Appium Mobile automation Java Programming language TestNG Test execution Maven Build management Page Object Model (POM) Maintainable page classes Extent Reports Test reporting Log4j Logging Git Version control Jenkins CI/CD integration Execution Flow Jenkins triggers the automation suite. Maven downloads dependencies. TestNG executes Appium test cases. Appium communicates with Android/iOS devices or emulators. Test scripts validate UI and functionality. Reports are generated and published. Results are shared with the QA team. Interview Questions Mobile Testing What is mobile application testing? Explain the difference between Android and iOS testing. What types of mobile testing have you performed? How do you test an application on multiple devices? Appium What is Appium? Explain the Appium architecture. What are Desired Capabilities? How do you locate mobile elements? What is the difference between native, hybrid, and mobile web applications? Automation Explain your Appium automation framework. How do you handle synchronization in mobile automation? How do you execute Appium tests in parallel? API & Database How do you validate mobile backend APIs? How do you perform database validation? CI/CD How do you integrate Appium automation with Jenkins? How do you execute mobile automation in a CI/CD pipeline? Scenario-Based How do you test push notifications? How do you test offline mode and network interruptions? How do you automate OTP verification in a mobile application? How do you test an application across different screen sizes and OS versions? Key Skills for Resume Mobile Testing Android Testing iOS Testing Appium Espresso XCUITest Java TestNG Selenium REST API Testing Postman SQL Jenkins Git Maven BrowserStack Firebase Test Lab AWS Device Farm JIRA Agile Testing Performance Testing Mobile Automation Framework CI/CD
11/13/2026
Full time
Job Description Job Description Mobile Test Engineer Job Description (JD) Job Title Mobile Test Engineer Job Summary We are seeking a skilled Mobile Test Engineer to ensure the quality, performance, usability, and security of Android and iOS mobile applications. The ideal candidate should have experience in manual and automation testing, mobile testing tools such as Appium, API testing, performance testing, and CI/CD integration. The role involves validating mobile applications across multiple devices, operating systems, and network conditions. Key Responsibilities Design, develop, and execute test plans and test cases for mobile applications. Perform manual and automated testing for Android and iOS applications. Develop and maintain mobile automation frameworks using Appium. Validate application functionality, usability, compatibility, performance, and security. Test application behavior across multiple devices, OS versions, and screen sizes. Execute regression, smoke, sanity, integration, and end-to-end testing. Perform API testing using Postman or REST Assured. Identify, report, and track defects using defect management tools. Integrate mobile automation with CI/CD pipelines. Collaborate with developers, product managers, QA teams, and DevOps engineers. Prepare test reports and maintain testing documentation. Required Skills Mobile Testing Android Testing iOS Testing Mobile Application Testing Functional Testing Regression Testing Smoke Testing Sanity Testing Compatibility Testing Installation & Upgrade Testing Localization Testing Accessibility Testing Network Interruption Testing Push Notification Testing Mobile Automation Appium Espresso (Android) XCUITest (iOS) Selenium WebDriver (Hybrid Apps) Programming Languages: Java Python JavaScript C# Automation Frameworks: TestNG JUnit PyTest Cucumber (BDD) Framework Design: Page Object Model (POM) Data-Driven Framework Hybrid Framework Mobile Platforms Android Android Studio ADB (Android Debug Bridge) APK Installation Logcat Emulator Testing iOS Xcode Simulator IPA Installation TestFlight iOS Provisioning API Testing REST API Testing Postman REST Assured JSON Validation XML Validation Database Testing SQL MySQL PostgreSQL Oracle SQL Server Knowledge of: CRUD Operations Data Validation SQL Joins CI/CD & DevOps Jenkins Git GitHub GitLab Azure DevOps Maven Gradle Docker Responsibilities: Integrate Appium automation into CI/CD pipelines. Schedule automated mobile regression testing. Publish automation reports. Cloud Device Testing Experience with: BrowserStack Sauce Labs LambdaTest Firebase Test Lab AWS Device Farm Performance Testing Preferred knowledge of: JMeter Android Profiler Xcode Instruments Battery Usage Analysis Memory Leak Detection CPU Usage Monitoring Security Testing Basic understanding of: OWASP Mobile Security Authentication Testing Data Encryption Secure Storage Validation Certificate Pinning Reporting & Defect Management Tools: JIRA Azure DevOps Bugzilla ALM/Quality Center Reporting: Extent Reports Allure Reports TestNG Reports Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 2 6 years of experience in mobile application testing. Experience in both Android and iOS platforms. Strong knowledge of Agile/Scrum methodologies. Experience in mobile automation using Appium. Nice to Have Skills Flutter app testing React Native testing Kotlin basics Swift basics Performance testing using JMeter API Automation Playwright or Selenium Firebase Mobile Analytics AI-assisted testing tools Sample Project Responsibilities Automate Android and iOS application testing using Appium. Validate mobile application functionality across different devices and OS versions. Perform API validation for mobile backend services. Execute regression suites in Jenkins. Verify push notifications, offline mode, and network switching scenarios. Test application installation, upgrades, and uninstallation. Perform performance and battery usage testing. Sample Mobile Automation Framework Framework Components Appium Mobile automation Java Programming language TestNG Test execution Maven Build management Page Object Model (POM) Maintainable page classes Extent Reports Test reporting Log4j Logging Git Version control Jenkins CI/CD integration Execution Flow Jenkins triggers the automation suite. Maven downloads dependencies. TestNG executes Appium test cases. Appium communicates with Android/iOS devices or emulators. Test scripts validate UI and functionality. Reports are generated and published. Results are shared with the QA team. Interview Questions Mobile Testing What is mobile application testing? Explain the difference between Android and iOS testing. What types of mobile testing have you performed? How do you test an application on multiple devices? Appium What is Appium? Explain the Appium architecture. What are Desired Capabilities? How do you locate mobile elements? What is the difference between native, hybrid, and mobile web applications? Automation Explain your Appium automation framework. How do you handle synchronization in mobile automation? How do you execute Appium tests in parallel? API & Database How do you validate mobile backend APIs? How do you perform database validation? CI/CD How do you integrate Appium automation with Jenkins? How do you execute mobile automation in a CI/CD pipeline? Scenario-Based How do you test push notifications? How do you test offline mode and network interruptions? How do you automate OTP verification in a mobile application? How do you test an application across different screen sizes and OS versions? Key Skills for Resume Mobile Testing Android Testing iOS Testing Appium Espresso XCUITest Java TestNG Selenium REST API Testing Postman SQL Jenkins Git Maven BrowserStack Firebase Test Lab AWS Device Farm JIRA Agile Testing Performance Testing Mobile Automation Framework CI/CD
This job is with S&P Global, 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 the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, 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 the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
Job Description Job Description hatch I.T. is partnering with Expression to find a Junior Test Engineer . See details below: About The Role: Expression is seeking a Junior Test Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. The program is focused on delivering a modern, secure, user-friendly investigative and case management ecosystem supporting DEA's law enforcement, investigative, forensic, and intelligence communities. The Junior Test Engineer will work with developers, business analysts, and experienced QA professionals to support functional testing of Pega applications and related system capabilities. This early-career position will help validate functionality against requirements and user stories, document defects, maintain test artifacts, and contribute to quality throughout the Agile software development lifecycle. Location and Clearance: Clearance: Top Secret clearance required and willingness to pursue SCI. Location: Arlington, VA. The program is primarily onsite at DEA Headquarters. About the Company: Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review. Responsibilities: Support the design and execution of functional test cases for Pega applications by following established testing guidelines and workflows. Work closely with developers, business analysts, and senior QA team members to understand requirements, user stories, and acceptance criteria. Assist with validating system functionality against documented requirements to confirm expected system behavior. Execute functional and regression tests and accurately document test results. Help identify and document software defects and collaborate with engineering teams to follow issues through resolution and retesting. Participate in test-planning activities by providing input on test scope and helping estimate testing effort under guidance. Maintain and update test documentation, including regression test cases, test results, testing checklists, and supporting QA artifacts. Support User Acceptance Testing and other system validation activities as assigned. Participate in Agile ceremonies, including stand-ups, sprint planning, sprint reviews, and retrospectives. Support testing throughout development iterations and help ensure testing activities align with sprint requirements. Collaborate with cross-functional teams to promote quality standards throughout the software development lifecycle. Review and analyze test results and escalate potential risks, defects, or issues to senior QA team members for evaluation. Assist with testing system workflows, integrations, and user-facing functionality. Qualifications: Bachelor's degree in computer science or related fields and 1 year of professional experience. Exposure to or foundational understanding of Pega testing concepts or Pega functional testing tools through coursework, training, internships, or professional experience. Basic understanding of Quality Assurance principles, including test-case creation, defect reporting, functional testing, and regression testing. Ability to read and interpret requirements or user stories and translate them into clear test steps. Familiarity with Agile development methodologies such as Scrum or Kanban through coursework, internships, or previous roles. Strong written and verbal communication skills. Ability to clearly document issues, defects, test results, and testing outcomes. Experience with or knowledge of common test-management or defect-tracking tools such as Jira or Azure DevOps. Preferred Qualifications: Pega certification, such as CSA, CSSA, or another applicable entry-level certification. Exposure to automated testing tools for Pega applications, such as PegaUnit or Selenium for Pega UI. Familiarity with Agile-focused testing methodologies, including Scrum, SAFe, or hybrid environments. Interest in or basic exposure to test-automation or hybrid-testing frameworks. Awareness of CI/CD concepts and how software testing integrates into automated delivery pipelines. Exposure to testing Federal Government or other complex enterprise applications. Benefits: Expression offers competitive salaries and benefits, such as: 401k matching PPO and HDHP medical/dental/vision insurance Education reimbursement Complimentary life insurance Generous PTO and holiday leave Onsite office gym access Commuter Benefits Plan We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/13/2026
Full time
Job Description Job Description hatch I.T. is partnering with Expression to find a Junior Test Engineer . See details below: About The Role: Expression is seeking a Junior Test Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. The program is focused on delivering a modern, secure, user-friendly investigative and case management ecosystem supporting DEA's law enforcement, investigative, forensic, and intelligence communities. The Junior Test Engineer will work with developers, business analysts, and experienced QA professionals to support functional testing of Pega applications and related system capabilities. This early-career position will help validate functionality against requirements and user stories, document defects, maintain test artifacts, and contribute to quality throughout the Agile software development lifecycle. Location and Clearance: Clearance: Top Secret clearance required and willingness to pursue SCI. Location: Arlington, VA. The program is primarily onsite at DEA Headquarters. About the Company: Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review. Responsibilities: Support the design and execution of functional test cases for Pega applications by following established testing guidelines and workflows. Work closely with developers, business analysts, and senior QA team members to understand requirements, user stories, and acceptance criteria. Assist with validating system functionality against documented requirements to confirm expected system behavior. Execute functional and regression tests and accurately document test results. Help identify and document software defects and collaborate with engineering teams to follow issues through resolution and retesting. Participate in test-planning activities by providing input on test scope and helping estimate testing effort under guidance. Maintain and update test documentation, including regression test cases, test results, testing checklists, and supporting QA artifacts. Support User Acceptance Testing and other system validation activities as assigned. Participate in Agile ceremonies, including stand-ups, sprint planning, sprint reviews, and retrospectives. Support testing throughout development iterations and help ensure testing activities align with sprint requirements. Collaborate with cross-functional teams to promote quality standards throughout the software development lifecycle. Review and analyze test results and escalate potential risks, defects, or issues to senior QA team members for evaluation. Assist with testing system workflows, integrations, and user-facing functionality. Qualifications: Bachelor's degree in computer science or related fields and 1 year of professional experience. Exposure to or foundational understanding of Pega testing concepts or Pega functional testing tools through coursework, training, internships, or professional experience. Basic understanding of Quality Assurance principles, including test-case creation, defect reporting, functional testing, and regression testing. Ability to read and interpret requirements or user stories and translate them into clear test steps. Familiarity with Agile development methodologies such as Scrum or Kanban through coursework, internships, or previous roles. Strong written and verbal communication skills. Ability to clearly document issues, defects, test results, and testing outcomes. Experience with or knowledge of common test-management or defect-tracking tools such as Jira or Azure DevOps. Preferred Qualifications: Pega certification, such as CSA, CSSA, or another applicable entry-level certification. Exposure to automated testing tools for Pega applications, such as PegaUnit or Selenium for Pega UI. Familiarity with Agile-focused testing methodologies, including Scrum, SAFe, or hybrid environments. Interest in or basic exposure to test-automation or hybrid-testing frameworks. Awareness of CI/CD concepts and how software testing integrates into automated delivery pipelines. Exposure to testing Federal Government or other complex enterprise applications. Benefits: Expression offers competitive salaries and benefits, such as: 401k matching PPO and HDHP medical/dental/vision insurance Education reimbursement Complimentary life insurance Generous PTO and holiday leave Onsite office gym access Commuter Benefits Plan We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Title: Data Scientist Location: Indianapolis, IN On- site/Remote/Hybrid: Hybrid Duration: 12 Months Interview Process: Web cam interview No of submissions: 1 No of Positions: 1 Local candidates only will be considered for this position. Note: Designs, builds, and maintains secure, scalable data solutions across Azure Databricks and Azure Synapse Analytics. Job Description: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high quality, reliable data products for the agency. Plays a key role in implementing the agency's data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties Assists with the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time, Event-based data integration, and crafting a universal vision for data integration Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering Provides advice, training, and technical support for various projects Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Assists in operations by conducting systems analysis; recommending changes in policies and procedures. The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time. Skills: Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field; Required 4 Years Bachelor's degree in a related field plus 2 years of relevant experience; or 4 years of hands-on experience in a similar data engineering role Required 4 Years Relevant certifications and coursework may substitute for formal education/experience requirements Required 4 Years Developing with Databricks notebooks in PySpark, Spark SQL, and R, including transformations, joins, aggregations, and window functions Required 4 Years ACID transactions, MERGE upserts, schema enforcement/evolution, time travel, and table maintenance (OPTIMIZE, Z-order, VACUUM) Required 4 Years Working with medallion (bronze/silver/gold) architecture and incremental ingestion via Auto Loader, Structured Streaming, or Lakeflow/DLT Required 4 Years Using Unity Catalog for Workspace Catalogs, schemas, permissions, lineage, external locations, and storage credentials Required 4 Years Right-sizing clusters and SQL warehouses and diagnose partitioning, shuffle, skew, and caching issues via Spark UI Required 4 Years Scheduling and managing dependencies with ADF Pipelines, Databricks Workflows (Jobs), and using Git folders (Repos) for source control Required 4 Years Designing MPP warehouse tables, including distribution (hash, round-robin, replicated), columnstore indexes, and partitioning Required 4 Years Querying Parquet, Delta, and CSV files in ADLS Gen2 using OPENROWSET, external tables, and views Required 4 Years Building star-schema facts, dimensions, stored procedures, and views, including SCD Type 1 and Type 2 Required 4 Years Developing with COPY INTO, PolyBase, and CETAS, and building parameterized Synapse/ADF pipelines (copy, data flows, triggers) Required 4 Years Workload management, resource classes, statistics, materialized views, result-set caching, and pool scaling/pausing Required 4 Years ADLS Gen2 folder/file-format design (Parquet/Delta), Entra ID access control, managed identities, and Key Vault Required 4 Years Git and CI/CD in Azure DevOps or GitHub, including branching, PRs, and deploying Synapse artifacts and Databricks Asset Bundles Required 4 Years Monitoring pipelines and workloads with Azure Monitor/Log Analytics and alerting, and troubleshooting failed jobs Required 4 Years Strong written and verbal communication skills Required Using Microsoft lakehouse patterns, including interoperability and migration paths between Synapse and Databricks Required 4 Years Databricks Certified Data Engineer Associate (Databricks Certified Data Engineer Professional a plus) Highly desired Microsoft Certified: Azure Data Engineer Associate (DP-203) if already held Highly desired Power BI connectivity to Synapse (Import vs. DirectQuery) and how model design affects dashboard performance Desired 4 Years About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
11/12/2026
Full time
Job Description Job Description Title: Data Scientist Location: Indianapolis, IN On- site/Remote/Hybrid: Hybrid Duration: 12 Months Interview Process: Web cam interview No of submissions: 1 No of Positions: 1 Local candidates only will be considered for this position. Note: Designs, builds, and maintains secure, scalable data solutions across Azure Databricks and Azure Synapse Analytics. Job Description: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high quality, reliable data products for the agency. Plays a key role in implementing the agency's data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties Assists with the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time, Event-based data integration, and crafting a universal vision for data integration Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering Provides advice, training, and technical support for various projects Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Assists in operations by conducting systems analysis; recommending changes in policies and procedures. The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time. Skills: Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field; Required 4 Years Bachelor's degree in a related field plus 2 years of relevant experience; or 4 years of hands-on experience in a similar data engineering role Required 4 Years Relevant certifications and coursework may substitute for formal education/experience requirements Required 4 Years Developing with Databricks notebooks in PySpark, Spark SQL, and R, including transformations, joins, aggregations, and window functions Required 4 Years ACID transactions, MERGE upserts, schema enforcement/evolution, time travel, and table maintenance (OPTIMIZE, Z-order, VACUUM) Required 4 Years Working with medallion (bronze/silver/gold) architecture and incremental ingestion via Auto Loader, Structured Streaming, or Lakeflow/DLT Required 4 Years Using Unity Catalog for Workspace Catalogs, schemas, permissions, lineage, external locations, and storage credentials Required 4 Years Right-sizing clusters and SQL warehouses and diagnose partitioning, shuffle, skew, and caching issues via Spark UI Required 4 Years Scheduling and managing dependencies with ADF Pipelines, Databricks Workflows (Jobs), and using Git folders (Repos) for source control Required 4 Years Designing MPP warehouse tables, including distribution (hash, round-robin, replicated), columnstore indexes, and partitioning Required 4 Years Querying Parquet, Delta, and CSV files in ADLS Gen2 using OPENROWSET, external tables, and views Required 4 Years Building star-schema facts, dimensions, stored procedures, and views, including SCD Type 1 and Type 2 Required 4 Years Developing with COPY INTO, PolyBase, and CETAS, and building parameterized Synapse/ADF pipelines (copy, data flows, triggers) Required 4 Years Workload management, resource classes, statistics, materialized views, result-set caching, and pool scaling/pausing Required 4 Years ADLS Gen2 folder/file-format design (Parquet/Delta), Entra ID access control, managed identities, and Key Vault Required 4 Years Git and CI/CD in Azure DevOps or GitHub, including branching, PRs, and deploying Synapse artifacts and Databricks Asset Bundles Required 4 Years Monitoring pipelines and workloads with Azure Monitor/Log Analytics and alerting, and troubleshooting failed jobs Required 4 Years Strong written and verbal communication skills Required Using Microsoft lakehouse patterns, including interoperability and migration paths between Synapse and Databricks Required 4 Years Databricks Certified Data Engineer Associate (Databricks Certified Data Engineer Professional a plus) Highly desired Microsoft Certified: Azure Data Engineer Associate (DP-203) if already held Highly desired Power BI connectivity to Synapse (Import vs. DirectQuery) and how model design affects dashboard performance Desired 4 Years About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
Job Description Job Description Role: Senior QA Analyst Duration: 12 Months Location: 2 Martin Luther King Jr. Drive SE 652.03 East Tower Atlanta, GA 30334 Work Arrangement: Hybrid Interview: Webcam only Job Description: The Child and Protective Care Services division (CAPS) Senior UAT & Business Analyst reports to the CAPS Sr. Manager of Technical Solutions. Under broad supervision, this role is responsible for leading User Acceptance Testing (UAT), test strategy development, business analysis activities, and quality assurance coordination across CAPS systems and related enterprise applications. This position serves as a senior-level quality and business analysis resource responsible for ensuring systems, data, integrations, reporting solutions, and business processes meet business requirements, Federal/State policy standards, and operational expectations. This role bridges the gap between business stakeholders, SMEs, Business System Owners (BSOs), developers, vendors, and testing teams to ensure successful solution delivery and release readiness. The ideal candidate is a highly skilled and versatile professional with strong expertise in manual and automated testing, test strategy development, regression suite optimization, defect management, business process analysis, and requirements management. This role requires the ability to operate both strategically and hands-on, shifting between UAT leadership responsibilities and Business Analyst functions based on project and operational needs. Job Responsibilities • Participate in Joint Application Requirements (JAR) and Joint Application Design (JAD) sessions for assigned Change Requests (CRs) and Maintenance & Operations (M&O) initiatives to support requirements gathering, solution validation, and testing readiness. • Collaborate with business stakeholders, Subject Matter Experts (SMEs), Business System Owners (BSOs), vendors, technical teams, and project managers to analyze, document, refine, and validate business and functional requirements. • Serve as an individual contributor performing both Business Analyst and User Acceptance Testing (UAT) responsibilities based on project, operational, and organizational needs. • Develop and maintain comprehensive UAT strategies, test plans, test scenarios, and testing approaches aligned with business objectives, operational priorities, regulatory requirements, and project timelines. • Review business requirements, functional specifications, system designs, interface documentation, and business workflows to ensure complete and risk-based test coverage. • Create, execute, and maintain manual and automated test scripts for functional, integration, regression, end-to-end, data validation, and user acceptance testing activities. • Lead and coordinate UAT activities across assigned projects, including test execution, issue tracking, test evidence documentation, business validation, and release readiness support. • Partner with vendors responsible for Unit Testing and System Integration Testing (SIT) to improve testing alignment, strengthen overall quality coverage, and reduce duplicate testing efforts between SIT and UAT processes. • Collaborate with project managers, testing teams, business users, and external partners to manage testing timelines, dependencies, risks, deliverables, and implementation of readiness activities. • Facilitate requirements of walkthroughs, knowledge-sharing sessions, and testing reviews to ensure a clear understanding of business expectations, system functionality, and testing objectives. • Manage the full defect lifecycle including defect identification, logging, triage, prioritization, escalation, retesting, resolution validation, and status reporting utilizing approved enterprise testing and defect management tools. • Track, analyze, and communicate testing metrics, execution progress, defect trends, test coverage, quality risks, and UAT results to leadership, stakeholders, and project teams. • Analyze, review, refine, and enhance existing regression test suites to improve testing efficiency, business-process validation, and overall regression coverage across CAPS systems. • Lead test automation initiatives by developing automation strategies, identifying automation opportunities, recommending appropriate frameworks and tools, and implementing automated regression testing solutions to reduce manual testing effort and improve quality outcomes. • Support post-implementation validation, production issue analysis, continuous process improvement initiatives, QA/UAT best practices, and additional CAPS Program Administration activities as assigned. Qualifications Required • Bachelor's degree in Computer Science, Information Systems, Business, Engineering, Mathematics, or related field; or equivalent combination of education and experience. • Minimum of five (5) years of experience in Quality Assurance (QA), User Acceptance Testing (UAT), and/or Business Analysis roles supporting enterprise systems. • Minimum of three (3) years of experience in test automation, including automation strategy development and transitioning manual testing processes into automated solutions. • Strong experience developing test strategies, test cases, test scripts, and executing functional, regression, integration, end-to-end, and UAT testing. • Demonstrated experience analyzing business and functional requirements, developing use cases, and translating business needs into testable scenarios. • Experience in performing data quality validation, data reconciliation, and testing across enterprise applications, interfaces, and reporting solutions. •Hands-on experience with QA and test management tools such as Jira, Azure DevOps, Smartsheet, or similar platforms. • Hands-on experience with automation tools such as Selenium, Playwright, Cypress, TestComplete, Power Automate, UFT, or similar technologies. •Experience working with Microsoft reporting and analytics tools including Power BI and/or Microsoft Fabric. • Proven ability to work independently as a senior-level individual contributor while effectively collaborating with business users, internal teams, external partners, and vendors in a cross-functional environment. Preferred • Experience working with data systems and automated business processes. • Experience creating or using systems for automated testing. • Experience organizing and analyzing data to inform decision making. • Knowledge of Georgia Gateway Integrated Eligibility System. • Knowledge of system development and configuration. • Advanced skills in Excel and other Microsoft Office applications. • Experience with Agile/Scrum methodologies • Familiarity with data warehousing, ETL processes, or data pipelines Technical Competencies • Knowledge of eligibility requirements and systems. • Understanding of automation processes and business needs. • Deep understanding of test types such as black box, regression, and negative testing. •Experience with testing frameworks and tools (Selenium, Power Automate, jUnit, Azure Test Plans). • Ability to deliver high-quality customer service and maintain positive work relationships. • Ability to organize and evaluate data to drive decision making. • Ability to collaborate with diverse communities and demonstrate cultural sensitivity. • Understanding of eligibility systems and requirements. • Experience with .NET applications, Angular front-ends, and relational databases. • Intermediate to advanced skills in Microsoft Word, Excel, and SharePoint. • Ability to develop user stories and acceptance criteria. • Effective communication, collaboration, and customer service skills. • Ability to collaborate with diverse communities and maintain positive work relationships. • Strong analytical and problem-solving skills • Excellent communication and stakeholder management • Ability to translate business requirements into technical test artifacts. • Attention to detail and commitment to quality. • Ability to manage multiple priorities in a fast-paced environment. Physical Requirements • Office-based work with intermittent sitting, standing, and walking. • Ability to speak clearly and hear at a normal conversational level. • Visual acuity for data analysis and computer work. • Full range of hand and finger motion for data entry. Required Skills: Skill Required / Desired Amount of Experience Quality Assurance (QA), User Acceptance Testing (UAT), and/or Business Analysis roles supporting enterprise systemsRequired5YearsTest automation, including automation strategy development and transitioning manual testing processes inRequired3YearsDeveloping test strategies, test cases, test scripts, and executing functional, regression, integration, end-to-end, and UAT testingRequired3YearsExperience with automation tools such as Selenium, Playwright, Cypress, TestComplete, Power Automate, UFT, or similar technologies.Required3YearsHands -on experience with QA and test management tools such as Jira, Azure DevOps, Smartsheet, or similar platforms.Required3Years
11/12/2026
Full time
Job Description Job Description Role: Senior QA Analyst Duration: 12 Months Location: 2 Martin Luther King Jr. Drive SE 652.03 East Tower Atlanta, GA 30334 Work Arrangement: Hybrid Interview: Webcam only Job Description: The Child and Protective Care Services division (CAPS) Senior UAT & Business Analyst reports to the CAPS Sr. Manager of Technical Solutions. Under broad supervision, this role is responsible for leading User Acceptance Testing (UAT), test strategy development, business analysis activities, and quality assurance coordination across CAPS systems and related enterprise applications. This position serves as a senior-level quality and business analysis resource responsible for ensuring systems, data, integrations, reporting solutions, and business processes meet business requirements, Federal/State policy standards, and operational expectations. This role bridges the gap between business stakeholders, SMEs, Business System Owners (BSOs), developers, vendors, and testing teams to ensure successful solution delivery and release readiness. The ideal candidate is a highly skilled and versatile professional with strong expertise in manual and automated testing, test strategy development, regression suite optimization, defect management, business process analysis, and requirements management. This role requires the ability to operate both strategically and hands-on, shifting between UAT leadership responsibilities and Business Analyst functions based on project and operational needs. Job Responsibilities • Participate in Joint Application Requirements (JAR) and Joint Application Design (JAD) sessions for assigned Change Requests (CRs) and Maintenance & Operations (M&O) initiatives to support requirements gathering, solution validation, and testing readiness. • Collaborate with business stakeholders, Subject Matter Experts (SMEs), Business System Owners (BSOs), vendors, technical teams, and project managers to analyze, document, refine, and validate business and functional requirements. • Serve as an individual contributor performing both Business Analyst and User Acceptance Testing (UAT) responsibilities based on project, operational, and organizational needs. • Develop and maintain comprehensive UAT strategies, test plans, test scenarios, and testing approaches aligned with business objectives, operational priorities, regulatory requirements, and project timelines. • Review business requirements, functional specifications, system designs, interface documentation, and business workflows to ensure complete and risk-based test coverage. • Create, execute, and maintain manual and automated test scripts for functional, integration, regression, end-to-end, data validation, and user acceptance testing activities. • Lead and coordinate UAT activities across assigned projects, including test execution, issue tracking, test evidence documentation, business validation, and release readiness support. • Partner with vendors responsible for Unit Testing and System Integration Testing (SIT) to improve testing alignment, strengthen overall quality coverage, and reduce duplicate testing efforts between SIT and UAT processes. • Collaborate with project managers, testing teams, business users, and external partners to manage testing timelines, dependencies, risks, deliverables, and implementation of readiness activities. • Facilitate requirements of walkthroughs, knowledge-sharing sessions, and testing reviews to ensure a clear understanding of business expectations, system functionality, and testing objectives. • Manage the full defect lifecycle including defect identification, logging, triage, prioritization, escalation, retesting, resolution validation, and status reporting utilizing approved enterprise testing and defect management tools. • Track, analyze, and communicate testing metrics, execution progress, defect trends, test coverage, quality risks, and UAT results to leadership, stakeholders, and project teams. • Analyze, review, refine, and enhance existing regression test suites to improve testing efficiency, business-process validation, and overall regression coverage across CAPS systems. • Lead test automation initiatives by developing automation strategies, identifying automation opportunities, recommending appropriate frameworks and tools, and implementing automated regression testing solutions to reduce manual testing effort and improve quality outcomes. • Support post-implementation validation, production issue analysis, continuous process improvement initiatives, QA/UAT best practices, and additional CAPS Program Administration activities as assigned. Qualifications Required • Bachelor's degree in Computer Science, Information Systems, Business, Engineering, Mathematics, or related field; or equivalent combination of education and experience. • Minimum of five (5) years of experience in Quality Assurance (QA), User Acceptance Testing (UAT), and/or Business Analysis roles supporting enterprise systems. • Minimum of three (3) years of experience in test automation, including automation strategy development and transitioning manual testing processes into automated solutions. • Strong experience developing test strategies, test cases, test scripts, and executing functional, regression, integration, end-to-end, and UAT testing. • Demonstrated experience analyzing business and functional requirements, developing use cases, and translating business needs into testable scenarios. • Experience in performing data quality validation, data reconciliation, and testing across enterprise applications, interfaces, and reporting solutions. •Hands-on experience with QA and test management tools such as Jira, Azure DevOps, Smartsheet, or similar platforms. • Hands-on experience with automation tools such as Selenium, Playwright, Cypress, TestComplete, Power Automate, UFT, or similar technologies. •Experience working with Microsoft reporting and analytics tools including Power BI and/or Microsoft Fabric. • Proven ability to work independently as a senior-level individual contributor while effectively collaborating with business users, internal teams, external partners, and vendors in a cross-functional environment. Preferred • Experience working with data systems and automated business processes. • Experience creating or using systems for automated testing. • Experience organizing and analyzing data to inform decision making. • Knowledge of Georgia Gateway Integrated Eligibility System. • Knowledge of system development and configuration. • Advanced skills in Excel and other Microsoft Office applications. • Experience with Agile/Scrum methodologies • Familiarity with data warehousing, ETL processes, or data pipelines Technical Competencies • Knowledge of eligibility requirements and systems. • Understanding of automation processes and business needs. • Deep understanding of test types such as black box, regression, and negative testing. •Experience with testing frameworks and tools (Selenium, Power Automate, jUnit, Azure Test Plans). • Ability to deliver high-quality customer service and maintain positive work relationships. • Ability to organize and evaluate data to drive decision making. • Ability to collaborate with diverse communities and demonstrate cultural sensitivity. • Understanding of eligibility systems and requirements. • Experience with .NET applications, Angular front-ends, and relational databases. • Intermediate to advanced skills in Microsoft Word, Excel, and SharePoint. • Ability to develop user stories and acceptance criteria. • Effective communication, collaboration, and customer service skills. • Ability to collaborate with diverse communities and maintain positive work relationships. • Strong analytical and problem-solving skills • Excellent communication and stakeholder management • Ability to translate business requirements into technical test artifacts. • Attention to detail and commitment to quality. • Ability to manage multiple priorities in a fast-paced environment. Physical Requirements • Office-based work with intermittent sitting, standing, and walking. • Ability to speak clearly and hear at a normal conversational level. • Visual acuity for data analysis and computer work. • Full range of hand and finger motion for data entry. Required Skills: Skill Required / Desired Amount of Experience Quality Assurance (QA), User Acceptance Testing (UAT), and/or Business Analysis roles supporting enterprise systemsRequired5YearsTest automation, including automation strategy development and transitioning manual testing processes inRequired3YearsDeveloping test strategies, test cases, test scripts, and executing functional, regression, integration, end-to-end, and UAT testingRequired3YearsExperience with automation tools such as Selenium, Playwright, Cypress, TestComplete, Power Automate, UFT, or similar technologies.Required3YearsHands -on experience with QA and test management tools such as Jira, Azure DevOps, Smartsheet, or similar platforms.Required3Years
Job Description Job Description About Client: Client is a multinational technology and consulting company known for its expertise in providing IT services and solutions. With a global presence, it offers a wide range of services including digital transformation, application development, infrastructure management, and business process outsourcing. The company has a strong focus on innovation, leveraging emerging technologies such as artificial intelligence, cloud computing, and data analytics to drive client success. Client is committed to delivering high-quality results and ensuring customer satisfaction through its team of skilled professionals and robust project management methodologies. Rate: $46.43/Hr Job Description: Sr Lab System Support Engineer plays a key role in supporting laboratory operations by ensuring the smooth functioning of lab systems, analytical instruments, and data workflows. This entry-level position is ideal for candidates with a background in life sciences or IT who are eager to work in a regulated pharmaceutical environment. Roles & Responsibilities Lab System Lifecycle Management: Manage end to end lab system lifecycle including implementation validation maintenance and decommissioning Ensure compliance with SDLC CSV GxP and regulatory standards Handle system upgrades patching backup archival and audit readiness Lab System Vendor Handling: Act as point of contact for vendors for installation support and issue resolution Coordinate maintenance upgrades and ensure SLA and regulatory compliance Manage vendor deliverables documentation and escalation handling Lab System Business Process Understanding in Pharmaceutical Regulatory Environment. Understand lab workflows and align systems with business and regulatory requirements. Ensure compliance with GLP GMP GxP and data integrity standards Collaborate with QA IT and lab teams to support audits and process improvements Key Skills & Expertise Good Knowledge and understanding on the GXP. Good knowledge of Computer System Validation. Good understanding of laboratory instruments and analytical techniques. Familiarity with lab software systems. Strong problem-solving and communication skills. Ability to work in a regulated environment and follow SOPs. Good Knowledge of Ticketing systems (ServiceNow/Remedy etc) Good Knowledge on the Problem/Deviation/Change/CAPA Management Process. Job Duties: Provide first-level hands & feet support for laboratory software systems and instrument integration platforms. Oversee daily lab activities including scheduling, equipment maintenance, and workflow optimization. Act as a liaison between the lab and external entities (e.g., regulatory bodies, partner institutions). User Management Activities (E.g: User Creation, Modification & Deletions etc.) Hardware related PC/Network Coordination with Desktop support team Vendor communications, coordination during the System Hardware failures & any other Maintenances Backup of the Standalone and Benchtop systems on regular basis Application Software upgrades on the standalone systems. Onboarding and off boarding Lab systems Monthly patching coordination. Backup & Restoration for the Lab systems Lac/es Configuration Update SOPs/ WIs Assist in troubleshooting software and hardware issues related to lab instruments (e.g., HPLC, GC, spectrophotometers). Ensure accurate documentation of system configurations, user guides, and troubleshooting procedures. Help maintain audit trails and support data archival processes. Support compliance with Good Laboratory Practices (GLP), Good Manufacturing Practices (GMP), and FDA regulations. Ensure systems are validated and maintained according to SOPs and validation protocols. Work closely with lab analysts, QA, and IT teams to resolve system-related issues. Participate in cross-functional meetings to improve lab workflows and system performance. Support Audits Queries from the LAB IT side. Education: Bachelor s degree in Life Sciences, Chemistry, Biology, Computer Science, or related field. 8 years of experience in a laboratory or IT support role. Years of Experience: 13.00 Years of Experience Must Have's: Lab system life cycle management Lab system vendor handling Lab system business processes understanding in pharmaceutical regulatory environment About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at Applicant Consent: By submitting your application, you agree to ApTask's () Terms of Use and Privacy Policy , and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at or . Message frequency may vary. Msg & data rates may apply.
11/12/2026
Full time
Job Description Job Description About Client: Client is a multinational technology and consulting company known for its expertise in providing IT services and solutions. With a global presence, it offers a wide range of services including digital transformation, application development, infrastructure management, and business process outsourcing. The company has a strong focus on innovation, leveraging emerging technologies such as artificial intelligence, cloud computing, and data analytics to drive client success. Client is committed to delivering high-quality results and ensuring customer satisfaction through its team of skilled professionals and robust project management methodologies. Rate: $46.43/Hr Job Description: Sr Lab System Support Engineer plays a key role in supporting laboratory operations by ensuring the smooth functioning of lab systems, analytical instruments, and data workflows. This entry-level position is ideal for candidates with a background in life sciences or IT who are eager to work in a regulated pharmaceutical environment. Roles & Responsibilities Lab System Lifecycle Management: Manage end to end lab system lifecycle including implementation validation maintenance and decommissioning Ensure compliance with SDLC CSV GxP and regulatory standards Handle system upgrades patching backup archival and audit readiness Lab System Vendor Handling: Act as point of contact for vendors for installation support and issue resolution Coordinate maintenance upgrades and ensure SLA and regulatory compliance Manage vendor deliverables documentation and escalation handling Lab System Business Process Understanding in Pharmaceutical Regulatory Environment. Understand lab workflows and align systems with business and regulatory requirements. Ensure compliance with GLP GMP GxP and data integrity standards Collaborate with QA IT and lab teams to support audits and process improvements Key Skills & Expertise Good Knowledge and understanding on the GXP. Good knowledge of Computer System Validation. Good understanding of laboratory instruments and analytical techniques. Familiarity with lab software systems. Strong problem-solving and communication skills. Ability to work in a regulated environment and follow SOPs. Good Knowledge of Ticketing systems (ServiceNow/Remedy etc) Good Knowledge on the Problem/Deviation/Change/CAPA Management Process. Job Duties: Provide first-level hands & feet support for laboratory software systems and instrument integration platforms. Oversee daily lab activities including scheduling, equipment maintenance, and workflow optimization. Act as a liaison between the lab and external entities (e.g., regulatory bodies, partner institutions). User Management Activities (E.g: User Creation, Modification & Deletions etc.) Hardware related PC/Network Coordination with Desktop support team Vendor communications, coordination during the System Hardware failures & any other Maintenances Backup of the Standalone and Benchtop systems on regular basis Application Software upgrades on the standalone systems. Onboarding and off boarding Lab systems Monthly patching coordination. Backup & Restoration for the Lab systems Lac/es Configuration Update SOPs/ WIs Assist in troubleshooting software and hardware issues related to lab instruments (e.g., HPLC, GC, spectrophotometers). Ensure accurate documentation of system configurations, user guides, and troubleshooting procedures. Help maintain audit trails and support data archival processes. Support compliance with Good Laboratory Practices (GLP), Good Manufacturing Practices (GMP), and FDA regulations. Ensure systems are validated and maintained according to SOPs and validation protocols. Work closely with lab analysts, QA, and IT teams to resolve system-related issues. Participate in cross-functional meetings to improve lab workflows and system performance. Support Audits Queries from the LAB IT side. Education: Bachelor s degree in Life Sciences, Chemistry, Biology, Computer Science, or related field. 8 years of experience in a laboratory or IT support role. Years of Experience: 13.00 Years of Experience Must Have's: Lab system life cycle management Lab system vendor handling Lab system business processes understanding in pharmaceutical regulatory environment About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at Applicant Consent: By submitting your application, you agree to ApTask's () Terms of Use and Privacy Policy , and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at or . Message frequency may vary. Msg & data rates may apply.
Job Description Job Description GIS Analyst III Location: Atlanta, GA Work Schedule: Hybrid - 4 days per week onsite Contract Duration: September 2026 - September 2029 Client: Southern Company Gas Department: Asset Data Analytics Travel: Up to 5% Job Summary We are seeking an experienced GIS Analyst III to support Asset Data Analytics initiatives in Atlanta, GA. The GIS Analyst will analyze current data, workflows, and business processes and develop solutions involving GIS integrations, transformations, data migration, quality control, and reporting. The position requires strong analytical and problem-solving capabilities and the ability to independently recommend effective approaches for complex GIS data requirements. Key Responsibilities Perform advanced GIS analysis, modeling, data mining, and database-related project activities. Create GIS data from spatial and tabular sources and perform data conversion and migration. Develop specialized queries, maps, and reports based on customer requirements. Process and convert multiple data formats for integration into GIS systems. Perform QA/QC on versioned data before deployment to production. Perform application testing, develop testing scripts, and document defects. Work with users to identify and document required system and data changes. Analyze existing business processes and recommend best-practice solutions. Identify new GIS technologies, processes, and applications to improve departmental operations. Develop and maintain automated GIS processes using ModelBuilder, Python scripting, and related tools. Required Qualifications Bachelors degree in Geography/GIS, Engineering, Computer Science, or related field with 3+ years of industry-standard GIS experience; OR GIS certificate with 3+ years of related professional experience. 1+ years of Utility or Pipeline GIS experience. Strong analytical, requirements-review, geoprocessing, spatial-analysis, and problem- solving skills. Ability to work independently with limited supervision and manage multiple priorities. Technical Skills Advanced proficiency: Esri ArcGIS Pro Esri ArcGIS 10.2x Linear Referencing MS Office Suite Intermediate proficiency: FME - Safe Software Esri ArcGIS Enterprise Utility Network ModelBuilder Python SQL / RDBMS Basic proficiency: AutoCAD/CADD Visual Basic/VBA SharePoint Highly Preferred Strong experience with Linear Referencing Knowledge of Utility and Pipeline Data Model (UPDM) Utility, natural gas, or pipeline industry experience Experience with GIS database design, data migration, automation, and QA/QC Ideal Candidate The ideal candidate is a hands-on GIS professional with strong ArcGIS Pro, Linear Referencing, Python, SQL, FME, Utility Network, and pipeline/utility GIS experience who can independently analyze complex data problems and develop scalable solutions.
11/12/2026
Full time
Job Description Job Description GIS Analyst III Location: Atlanta, GA Work Schedule: Hybrid - 4 days per week onsite Contract Duration: September 2026 - September 2029 Client: Southern Company Gas Department: Asset Data Analytics Travel: Up to 5% Job Summary We are seeking an experienced GIS Analyst III to support Asset Data Analytics initiatives in Atlanta, GA. The GIS Analyst will analyze current data, workflows, and business processes and develop solutions involving GIS integrations, transformations, data migration, quality control, and reporting. The position requires strong analytical and problem-solving capabilities and the ability to independently recommend effective approaches for complex GIS data requirements. Key Responsibilities Perform advanced GIS analysis, modeling, data mining, and database-related project activities. Create GIS data from spatial and tabular sources and perform data conversion and migration. Develop specialized queries, maps, and reports based on customer requirements. Process and convert multiple data formats for integration into GIS systems. Perform QA/QC on versioned data before deployment to production. Perform application testing, develop testing scripts, and document defects. Work with users to identify and document required system and data changes. Analyze existing business processes and recommend best-practice solutions. Identify new GIS technologies, processes, and applications to improve departmental operations. Develop and maintain automated GIS processes using ModelBuilder, Python scripting, and related tools. Required Qualifications Bachelors degree in Geography/GIS, Engineering, Computer Science, or related field with 3+ years of industry-standard GIS experience; OR GIS certificate with 3+ years of related professional experience. 1+ years of Utility or Pipeline GIS experience. Strong analytical, requirements-review, geoprocessing, spatial-analysis, and problem- solving skills. Ability to work independently with limited supervision and manage multiple priorities. Technical Skills Advanced proficiency: Esri ArcGIS Pro Esri ArcGIS 10.2x Linear Referencing MS Office Suite Intermediate proficiency: FME - Safe Software Esri ArcGIS Enterprise Utility Network ModelBuilder Python SQL / RDBMS Basic proficiency: AutoCAD/CADD Visual Basic/VBA SharePoint Highly Preferred Strong experience with Linear Referencing Knowledge of Utility and Pipeline Data Model (UPDM) Utility, natural gas, or pipeline industry experience Experience with GIS database design, data migration, automation, and QA/QC Ideal Candidate The ideal candidate is a hands-on GIS professional with strong ArcGIS Pro, Linear Referencing, Python, SQL, FME, Utility Network, and pipeline/utility GIS experience who can independently analyze complex data problems and develop scalable solutions.
Job Description Job Description Lead Sr Software Engineer(Cloudera Hadoop stack) Blue Bell, PA - Remote The assessment, "CO - Lead Cloudera/Hadoop Migration Engineer Overview: Client is a leading solutions and analytics company that leverages unparalleled clinical and financial datasets to deliver deep insight into the performance of the healthcare system. These insights uncover new opportunities for healthcare organizations to collaborate to improve their financial performance, reduce inefficiency, and improve healthcare quality. The Senior Software Engineer is responsible for leading design and development of software applications and reusable software components for the Cotiviti Inc product suite, in compliance with predefined coding standards and technical design. This person will collaborate effectively and work with Senior Developers, QA, Product Owners, Project Management, and other stake holders. Cotiviti develops highly innovative applications in healthcare analytics to generate performance, improvement opportunities and value for our clients. Responsibilities: Design and develop high quality, maintainable software modules for the Client, product suite Conduct unit and integration testing using appropriate methodology and techniques Analyze requirements and specifications and create detailed designs for implementation Analyze and resolve software related issues originated from internal or external customers Continuously update professional knowledge of new technologies as selected and integrated into the Cotiviti, Inc. product suite Change control Enter, transcribe, record, store and maintain information in both written and electronic form. Review software engineering approach to proposed solutions to ensure adherence to best practice Mentor team members in proper software engineering methods and techniques Complete all responsibilities as outlined in the annual performance review and/or goal setting. Required Complete all special projects and other duties as Required Must be able to perform duties with or without reasonable accommodation Required This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Qualifications: Bachelor's Degree in Computer Science, Information Technology, Information Systems, or related field. 10 years of experience with enterprise and application design patterns that are applied on Hadoop and Big data platforms in aws. The ideal candidate will possess deep expertise in both on-premises Hadoop ecosystems and modern cloud-native big data solutions on AWS. Hands-on experience with Cloudera Hadoop stack (HDFS, Hive, Spark, Oozie, Python) Proficiency in writing, maintaining, and troubleshooting shell scripts (Bash or similar) for automation and operational support. Migration to AWS will need - Analyze existing Cloudera Hadoop architecture, workflows, and data pipelines. Develop a comprehensive migration strategy to transfer data, processing logic, and applications to AWS services. Design target architecture using AWS big data services such as Amazon EMR, Airflow, Glue, Lambda. Evaluate and select appropriate AWS tools for data ingestion, storage, processing, and analytics. Oversee the migration process, including data transfer, application re-platforming, and validation. Ensure the new architecture meets performance, scalability, reliability, and security requirements. Collaborate with developers, data engineers, DevOps, and stakeholders to ensure a seamless migration. Create detailed technical documentation and migration runbooks. Mentor team members on AWS big data best practices. Strong understanding of data security, compliance, and governance in the cloud. Proven track record of migrating or modernizing big data workloads to AWS. Experience with cloud automation and Infrastructure as Code (e.g. Terraform). AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Big Data - Specialty) are highly desirable. Additional skills required Familiarity with xml/json data formats Knowledge of monitoring and logging tools 5 years of experience with platform engineering tools such as Bitbucket, Gradle, Octopus, Artifactory. Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field (often required) Knowledge of healthcare data such as claims and entities such as providers, members and their relationship within the framework of a claim.
11/12/2026
Full time
Job Description Job Description Lead Sr Software Engineer(Cloudera Hadoop stack) Blue Bell, PA - Remote The assessment, "CO - Lead Cloudera/Hadoop Migration Engineer Overview: Client is a leading solutions and analytics company that leverages unparalleled clinical and financial datasets to deliver deep insight into the performance of the healthcare system. These insights uncover new opportunities for healthcare organizations to collaborate to improve their financial performance, reduce inefficiency, and improve healthcare quality. The Senior Software Engineer is responsible for leading design and development of software applications and reusable software components for the Cotiviti Inc product suite, in compliance with predefined coding standards and technical design. This person will collaborate effectively and work with Senior Developers, QA, Product Owners, Project Management, and other stake holders. Cotiviti develops highly innovative applications in healthcare analytics to generate performance, improvement opportunities and value for our clients. Responsibilities: Design and develop high quality, maintainable software modules for the Client, product suite Conduct unit and integration testing using appropriate methodology and techniques Analyze requirements and specifications and create detailed designs for implementation Analyze and resolve software related issues originated from internal or external customers Continuously update professional knowledge of new technologies as selected and integrated into the Cotiviti, Inc. product suite Change control Enter, transcribe, record, store and maintain information in both written and electronic form. Review software engineering approach to proposed solutions to ensure adherence to best practice Mentor team members in proper software engineering methods and techniques Complete all responsibilities as outlined in the annual performance review and/or goal setting. Required Complete all special projects and other duties as Required Must be able to perform duties with or without reasonable accommodation Required This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Qualifications: Bachelor's Degree in Computer Science, Information Technology, Information Systems, or related field. 10 years of experience with enterprise and application design patterns that are applied on Hadoop and Big data platforms in aws. The ideal candidate will possess deep expertise in both on-premises Hadoop ecosystems and modern cloud-native big data solutions on AWS. Hands-on experience with Cloudera Hadoop stack (HDFS, Hive, Spark, Oozie, Python) Proficiency in writing, maintaining, and troubleshooting shell scripts (Bash or similar) for automation and operational support. Migration to AWS will need - Analyze existing Cloudera Hadoop architecture, workflows, and data pipelines. Develop a comprehensive migration strategy to transfer data, processing logic, and applications to AWS services. Design target architecture using AWS big data services such as Amazon EMR, Airflow, Glue, Lambda. Evaluate and select appropriate AWS tools for data ingestion, storage, processing, and analytics. Oversee the migration process, including data transfer, application re-platforming, and validation. Ensure the new architecture meets performance, scalability, reliability, and security requirements. Collaborate with developers, data engineers, DevOps, and stakeholders to ensure a seamless migration. Create detailed technical documentation and migration runbooks. Mentor team members on AWS big data best practices. Strong understanding of data security, compliance, and governance in the cloud. Proven track record of migrating or modernizing big data workloads to AWS. Experience with cloud automation and Infrastructure as Code (e.g. Terraform). AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Big Data - Specialty) are highly desirable. Additional skills required Familiarity with xml/json data formats Knowledge of monitoring and logging tools 5 years of experience with platform engineering tools such as Bitbucket, Gradle, Octopus, Artifactory. Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field (often required) Knowledge of healthcare data such as claims and entities such as providers, members and their relationship within the framework of a claim.
Job Description Job Description Title: Network Engineer Location: Westlake, TX or Merrimack, NH On- site/Remote/Hybrid: Onsite Duration: 6 Months Interview Process: Webcam only No of submissions: No of Positions: 1 Work Authorization: Candidates must be authorized to work in the U.S. No current or future sponsorship (including H1B transfers or OPT) will be accepted. Job Description: Top Skills 2-5 years of data analysis with a focus on network and network security Splunk and Cisco Firepower Regulatory frameworks such as SOX, HIPAA, ISO 27001, or NIST Position Summary We are seeking a thorough and proactive Data Analyst to support a workstream within our network segmentation program. The ideal candidate will have 2-5 years' experience analyzing large data sets consisting of both log and telemetry data to formulate network-based security policies in support of cyber network segmentation policy. Success in this role includes producing validated application flow maps and enabling enforcement of least-privilege network policies. As a valued team member, you will help ensure secure and compliant access across secure network boundaries, with a solid understanding of routing, firewall and IPS/IDS controls. Key Responsibilities Analyze network traffic data (NetFlow, logs, packet captures) to identify application communication patterns and dependencies. Develop and refine network segmentation policies aligned with security standards and Zero Trust principles. Partner with engineering, cybersecurity, and application teams to validate dependencies and enforce least privilege connectivity. Translate flow data and CMDB information into application dependency mappings. Support implementation and tuning of policies across firewalls and security platforms (e.g., Cisco Firepower, IDS/IPS). Contribute to governance and compliance activities, ensuring adherence to internal policies and regulatory requirements. Document findings, produce reports, and communicate insights to technical and non-technical stakeholders. Identify opportunities to improve segmentation effectiveness and reduce attack surface. Qualifications Bachelor's degree in Information Security, Computer Science, or related field preferred. 2-5 years of hands-on experience in data analysis with a focus on network and network security. Experience supporting enterprise-level network environments. Working knowledge of Splunk and Cisco Firepower in an enterprise environment. Familiarity with regulatory frameworks such as SOX, HIPAA, ISO 27001, or NIST. Strong analytical and problem-solving skills. Excellent communication and documentation abilities. Preferred Skills Experience with scripting or automation (PowerShell, Python). Cisco Firepower, Check Point, and Juniper firewall security policy management. Snowflake and analytics visualization experience with Tableau or Power BI. Understanding of Zero Trust principles and least privilege access models. Certifications such as CISSP, CISM, or vendor-specific IAM/PAM certifications. About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
11/12/2026
Full time
Job Description Job Description Title: Network Engineer Location: Westlake, TX or Merrimack, NH On- site/Remote/Hybrid: Onsite Duration: 6 Months Interview Process: Webcam only No of submissions: No of Positions: 1 Work Authorization: Candidates must be authorized to work in the U.S. No current or future sponsorship (including H1B transfers or OPT) will be accepted. Job Description: Top Skills 2-5 years of data analysis with a focus on network and network security Splunk and Cisco Firepower Regulatory frameworks such as SOX, HIPAA, ISO 27001, or NIST Position Summary We are seeking a thorough and proactive Data Analyst to support a workstream within our network segmentation program. The ideal candidate will have 2-5 years' experience analyzing large data sets consisting of both log and telemetry data to formulate network-based security policies in support of cyber network segmentation policy. Success in this role includes producing validated application flow maps and enabling enforcement of least-privilege network policies. As a valued team member, you will help ensure secure and compliant access across secure network boundaries, with a solid understanding of routing, firewall and IPS/IDS controls. Key Responsibilities Analyze network traffic data (NetFlow, logs, packet captures) to identify application communication patterns and dependencies. Develop and refine network segmentation policies aligned with security standards and Zero Trust principles. Partner with engineering, cybersecurity, and application teams to validate dependencies and enforce least privilege connectivity. Translate flow data and CMDB information into application dependency mappings. Support implementation and tuning of policies across firewalls and security platforms (e.g., Cisco Firepower, IDS/IPS). Contribute to governance and compliance activities, ensuring adherence to internal policies and regulatory requirements. Document findings, produce reports, and communicate insights to technical and non-technical stakeholders. Identify opportunities to improve segmentation effectiveness and reduce attack surface. Qualifications Bachelor's degree in Information Security, Computer Science, or related field preferred. 2-5 years of hands-on experience in data analysis with a focus on network and network security. Experience supporting enterprise-level network environments. Working knowledge of Splunk and Cisco Firepower in an enterprise environment. Familiarity with regulatory frameworks such as SOX, HIPAA, ISO 27001, or NIST. Strong analytical and problem-solving skills. Excellent communication and documentation abilities. Preferred Skills Experience with scripting or automation (PowerShell, Python). Cisco Firepower, Check Point, and Juniper firewall security policy management. Snowflake and analytics visualization experience with Tableau or Power BI. Understanding of Zero Trust principles and least privilege access models. Certifications such as CISSP, CISM, or vendor-specific IAM/PAM certifications. About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
Job Description Job Description Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy's industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It's both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary We're looking for a Full Stack Engineer with a strong back-end focus to help build and scale our energy market platform. You'll develop services that power settlement processing, bid submission, market workflows, and platform APIs supporting customers participating in wholesale electricity markets. While this is a full-stack role, most work is on the back end. Front-end work is expected but is generally limited in scope. Modern AI-assisted development tools are part of our engineering workflow and are expected to improve productivity across both front-end and back-end development. Position Details Salary range: $95,000 - $115,000 Location: Hybrid (Boulder, CO) Full-time Hybrid - 2 days in the office Reporting to: Engineering Manager Primary Responsibilities Design, build, and maintain back-end services using C#/.NET. Develop APIs supporting bid submission, settlement processing, and market workflows. Build reliable integrations between platform components. Design and optimize SQL Server databases and queries. Contribute to front-end functionality using JavaScript when needed. Write automated tests and participate in code reviews. Diagnose and resolve production issues. Collaborate with Product, QA, and other engineering teams to deliver customer-facing capabilities. Use AI-assisted engineering tools to improve development efficiency and code quality. Minimum Qualifications 3+ years of software engineering experience. Strong C#/.NET development skills. Experience building REST APIs and distributed services. Strong SQL Server and database design experience. Working knowledge of JavaScript. Experience working across the software development lifecycle. Strong debugging and problem-solving skills. Preferred Qualifications Experience building SaaS platforms. Experience with cloud-based applications. Experience in wholesale energy markets or financial transaction systems. Experience using AI-assisted development tools. At Yes Energy, we value connecting directly with candidates. We kindly ask that third-party recruiters and agencies not submit resumes, as we are not open to external recruiting partnerships. ABOUT YES ENERGY Overview Yes Energy delivers real-time market data and electric power trading decision solutions. Over 1,000 market participants use Yes Energy solutions daily. The business is a leader in all aspects of information content collection and management, developing and delivering data and market analytics solutions. Since its inception in 2008, Yes Energy has become a trusted and respected supplier of innovative and reliable solutions focused on the needs of power market analysts, traders, and trade managers. Yes Energy has a team of 400 amazing professionals in Boulder, CO (HQ); Boston, MA; Chicago, IL; Glendora, CA; Richmond, VA; London, United Kingdom; Auckland, New Zealand; and Bucharest, Romania. Culture Yes Energy has been named one of the Best Places to Work in Colorado, and we have the culture to prove it. At Yes Energy, we care about saying "Yes" to customers. We like to listen, learn, and develop our solutions in line with their needs. We think about customers as business partners, and when we help them be more successful we are more successful, too. Around the office, our culture is driven by some pretty fundamental values that we're proud of: We love innovation and solving tough challenges; We are "high standards people" who combine passion and pride with hard work and rewards of all kinds in an ethic that is consistent across the company. We're team-focused with a flat hierarchy we work in small teams on well-defined projects that directly impact the success of the business; We play to the strengths and experience of each person while each of us also works along a continuum of roles adjacent to our focus area. This presents the challenge of maintaining a broad set of skills as well as an opportunity to learn and contribute in many ways. We are constantly growing. Professional development happens every day and every year. Compensation and Benefits We offer highly competitive salaries and real bonuses that are achievable and that you can impact. Our benefits package is also very competitive, including medical insurance, a 401 (k) Plan with matching, flexible vacation, and flexible work schedules. Yes Energy encourages and funds investment in both formal and informal professional development. At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. In accordance with Colorado law, the range provided is Yes Energy's reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as location, experience, knowledge, skills, and abilities. Yes Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Yes Energy complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
11/11/2026
Full time
Job Description Job Description Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy's industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It's both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary We're looking for a Full Stack Engineer with a strong back-end focus to help build and scale our energy market platform. You'll develop services that power settlement processing, bid submission, market workflows, and platform APIs supporting customers participating in wholesale electricity markets. While this is a full-stack role, most work is on the back end. Front-end work is expected but is generally limited in scope. Modern AI-assisted development tools are part of our engineering workflow and are expected to improve productivity across both front-end and back-end development. Position Details Salary range: $95,000 - $115,000 Location: Hybrid (Boulder, CO) Full-time Hybrid - 2 days in the office Reporting to: Engineering Manager Primary Responsibilities Design, build, and maintain back-end services using C#/.NET. Develop APIs supporting bid submission, settlement processing, and market workflows. Build reliable integrations between platform components. Design and optimize SQL Server databases and queries. Contribute to front-end functionality using JavaScript when needed. Write automated tests and participate in code reviews. Diagnose and resolve production issues. Collaborate with Product, QA, and other engineering teams to deliver customer-facing capabilities. Use AI-assisted engineering tools to improve development efficiency and code quality. Minimum Qualifications 3+ years of software engineering experience. Strong C#/.NET development skills. Experience building REST APIs and distributed services. Strong SQL Server and database design experience. Working knowledge of JavaScript. Experience working across the software development lifecycle. Strong debugging and problem-solving skills. Preferred Qualifications Experience building SaaS platforms. Experience with cloud-based applications. Experience in wholesale energy markets or financial transaction systems. Experience using AI-assisted development tools. At Yes Energy, we value connecting directly with candidates. We kindly ask that third-party recruiters and agencies not submit resumes, as we are not open to external recruiting partnerships. ABOUT YES ENERGY Overview Yes Energy delivers real-time market data and electric power trading decision solutions. Over 1,000 market participants use Yes Energy solutions daily. The business is a leader in all aspects of information content collection and management, developing and delivering data and market analytics solutions. Since its inception in 2008, Yes Energy has become a trusted and respected supplier of innovative and reliable solutions focused on the needs of power market analysts, traders, and trade managers. Yes Energy has a team of 400 amazing professionals in Boulder, CO (HQ); Boston, MA; Chicago, IL; Glendora, CA; Richmond, VA; London, United Kingdom; Auckland, New Zealand; and Bucharest, Romania. Culture Yes Energy has been named one of the Best Places to Work in Colorado, and we have the culture to prove it. At Yes Energy, we care about saying "Yes" to customers. We like to listen, learn, and develop our solutions in line with their needs. We think about customers as business partners, and when we help them be more successful we are more successful, too. Around the office, our culture is driven by some pretty fundamental values that we're proud of: We love innovation and solving tough challenges; We are "high standards people" who combine passion and pride with hard work and rewards of all kinds in an ethic that is consistent across the company. We're team-focused with a flat hierarchy we work in small teams on well-defined projects that directly impact the success of the business; We play to the strengths and experience of each person while each of us also works along a continuum of roles adjacent to our focus area. This presents the challenge of maintaining a broad set of skills as well as an opportunity to learn and contribute in many ways. We are constantly growing. Professional development happens every day and every year. Compensation and Benefits We offer highly competitive salaries and real bonuses that are achievable and that you can impact. Our benefits package is also very competitive, including medical insurance, a 401 (k) Plan with matching, flexible vacation, and flexible work schedules. Yes Energy encourages and funds investment in both formal and informal professional development. At Yes Energy, we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. In accordance with Colorado law, the range provided is Yes Energy's reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as location, experience, knowledge, skills, and abilities. Yes Energy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Yes Energy complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Job Description Job Description Under broad supervision, will provide adequate testing feedback to ensure enhancements and changes are operating effectively within the testing environment for the Dept. of Early Care & Learning (DECAL). Agency: Dept. of Early Care and Learning (DECAL) Local Candidates only Work Schedule: 8 to 5 Mon thru Fri; Remote but at minimum once a quarter, but more frequently as needed based on project needs. The Child and Protective Care Services division (CAPS) Senior UAT & Business Analyst reports to the CAPS Sr. Manager of Technical Solutions. Under broad supervision, this role is responsible for leading User Acceptance Testing (UAT), test strategy development, business analysis activities, and quality assurance coordination across CAPS systems and related enterprise applications. This position serves as a senior-level quality and business analysis resource responsible for ensuring systems, data, integrations, reporting solutions, and business processes meet business requirements, Federal/State policy standards, and operational expectations. This role bridges the gap between business stakeholders, SMEs, Business System Owners (BSOs), developers, vendors, and testing teams to ensure successful solution delivery and release readiness. The ideal candidate is a highly skilled and versatile professional with strong expertise in manual and automated testing, test strategy development, regression suite optimization, defect management, business process analysis, and requirements management. This role requires the ability to operate both strategically and hands-on, shifting between UAT leadership responsibilities and Business Analyst functions based on project and operational needs. Job Responsibilities Participate in Joint Application Requirements (JAR) and Joint Application Design (JAD) sessions for assigned Change Requests (CRs) and Maintenance & Operations (M&O) initiatives to support requirements gathering, solution validation, and testing readiness. Collaborate with business stakeholders, Subject Matter Experts (SMEs), Business System Owners (BSOs), vendors, technical teams, and project managers to analyze, document, refine, and validate business and functional requirements. Serve as an individual contributor performing both Business Analyst and User Acceptance Testing (UAT) responsibilities based on project, operational, and organizational needs. Develop and maintain comprehensive UAT strategies, test plans, test scenarios, and testing approaches aligned with business objectives, operational priorities, regulatory requirements, and project timelines. Review business requirements, functional specifications, system designs, interface documentation, and business workflows to ensure complete and risk-based test coverage. Create, execute, and maintain manual and automated test scripts for functional, integration, regression, end-to-end, data validation, and user acceptance testing activities. Lead and coordinate UAT activities across assigned projects, including test execution, issue tracking, test evidence documentation, business validation, and release readiness support. Partner with vendors responsible for Unit Testing and System Integration Testing (SIT) to improve testing alignment, strengthen overall quality coverage, and reduce duplicate testing efforts between SIT and UAT processes. Collaborate with project managers, testing teams, business users, and external partners to manage testing timelines, dependencies, risks, deliverables, and implementation of readiness activities. Facilitate requirements of walkthroughs, knowledge-sharing sessions, and testing reviews to ensure a clear understanding of business expectations, system functionality, and testing objectives. Manage the full defect lifecycle including defect identification, logging, triage, prioritization, escalation, retesting, resolution validation, and status reporting utilizing approved enterprise testing and defect management tools. Track, analyze, and communicate testing metrics, execution progress, defect trends, test coverage, quality risks, and UAT results to leadership, stakeholders, and project teams. Analyze, review, refine, and enhance existing regression test suites to improve testing efficiency, business-process validation, and overall regression coverage across CAPS systems. Lead test automation initiatives by developing automation strategies, identifying automation opportunities, recommending appropriate frameworks and tools, and implementing automated regression testing solutions to reduce manual testing effort and improve quality outcomes. Support post-implementation validation, production issue analysis, continuous process improvement initiatives, QA/UAT best practices, and additional CAPS Program Administration activities as assigned. Qualifications Required Bachelors degree in Computer Science, Information Systems, Business, Engineering, Mathematics, or related field; or equivalent combination of education and experience. Minimum of five (5) years of experience in Quality Assurance (QA), User Acceptance Testing (UAT), and/or Business Analysis roles supporting enterprise systems. Minimum of three (3) years of experience in test automation, including automation strategy development and transitioning manual testing processes into automated solutions. Strong experience developing test strategies, test cases, test scripts, and executing functional, regression, integration, end-to-end, and UAT testing. Demonstrated experience analyzing business and functional requirements, developing use cases, and translating business needs into testable scenarios. Experience in performing data quality validation, data reconciliation, and testing across enterprise applications, interfaces, and reporting solutions. Hands-on experience with QA and test management tools such as Jira, Azure DevOps, Smartsheet, or similar platforms. Hands-on experience with automation tools such as Selenium, Playwright, Cypress, TestComplete, Power Automate, UFT, or similar technologies. Experience working with Microsoft reporting and analytics tools including Power BI and/or Microsoft Fabric. Proven ability to work independently as a senior-level individual contributor while effectively collaborating with business users, internal teams, external partners, and vendors in a cross-functional environment. Preferred Experience working with data systems and automated business processes. Experience creating or using systems for automated testing. Experience organizing and analyzing data to inform decision making. Knowledge of Gateway Integrated Eligibility System. Knowledge of system development and configuration. Advanced skills in Excel and other Microsoft Office applications. Experience with Agile/Scrum methodologies Familiarity with data warehousing, ETL processes, or data pipelines Technical Competencies Knowledge of eligibility requirements and systems. Understanding of automation processes and business needs. Deep understanding of test types such as black box, regression, and negative testing. Experience with testing frameworks and tools (Selenium, Power Automate, jUnit, Azure Test Plans). Ability to deliver high-quality customer service and maintain positive work relationships. Ability to organize and evaluate data to drive decision making. Ability to collaborate with diverse communities and demonstrate cultural sensitivity. Understanding of eligibility systems and requirements. Experience with .NET applications, Angular front-ends, and relational databases. Intermediate to advanced skills in Microsoft Word, Excel, and SharePoint. Ability to develop user stories and acceptance criteria. Effective communication, collaboration, and customer service skills. Ability to collaborate with diverse communities and maintain positive work relationships. Strong analytical and problem-solving skills Excellent communication and stakeholder management Ability to translate business requirements into technical test artifacts. Attention to detail and commitment to quality. Ability to manage multiple priorities in a fast-paced environment. Physical Requirements Office-based work with intermittent sitting, standing, and walking. Ability to speak clearly and hear at a normal conversational level. Visual acuity for data analysis and computer work. Full range of hand and finger motion for data entry.
11/11/2026
Full time
Job Description Job Description Under broad supervision, will provide adequate testing feedback to ensure enhancements and changes are operating effectively within the testing environment for the Dept. of Early Care & Learning (DECAL). Agency: Dept. of Early Care and Learning (DECAL) Local Candidates only Work Schedule: 8 to 5 Mon thru Fri; Remote but at minimum once a quarter, but more frequently as needed based on project needs. The Child and Protective Care Services division (CAPS) Senior UAT & Business Analyst reports to the CAPS Sr. Manager of Technical Solutions. Under broad supervision, this role is responsible for leading User Acceptance Testing (UAT), test strategy development, business analysis activities, and quality assurance coordination across CAPS systems and related enterprise applications. This position serves as a senior-level quality and business analysis resource responsible for ensuring systems, data, integrations, reporting solutions, and business processes meet business requirements, Federal/State policy standards, and operational expectations. This role bridges the gap between business stakeholders, SMEs, Business System Owners (BSOs), developers, vendors, and testing teams to ensure successful solution delivery and release readiness. The ideal candidate is a highly skilled and versatile professional with strong expertise in manual and automated testing, test strategy development, regression suite optimization, defect management, business process analysis, and requirements management. This role requires the ability to operate both strategically and hands-on, shifting between UAT leadership responsibilities and Business Analyst functions based on project and operational needs. Job Responsibilities Participate in Joint Application Requirements (JAR) and Joint Application Design (JAD) sessions for assigned Change Requests (CRs) and Maintenance & Operations (M&O) initiatives to support requirements gathering, solution validation, and testing readiness. Collaborate with business stakeholders, Subject Matter Experts (SMEs), Business System Owners (BSOs), vendors, technical teams, and project managers to analyze, document, refine, and validate business and functional requirements. Serve as an individual contributor performing both Business Analyst and User Acceptance Testing (UAT) responsibilities based on project, operational, and organizational needs. Develop and maintain comprehensive UAT strategies, test plans, test scenarios, and testing approaches aligned with business objectives, operational priorities, regulatory requirements, and project timelines. Review business requirements, functional specifications, system designs, interface documentation, and business workflows to ensure complete and risk-based test coverage. Create, execute, and maintain manual and automated test scripts for functional, integration, regression, end-to-end, data validation, and user acceptance testing activities. Lead and coordinate UAT activities across assigned projects, including test execution, issue tracking, test evidence documentation, business validation, and release readiness support. Partner with vendors responsible for Unit Testing and System Integration Testing (SIT) to improve testing alignment, strengthen overall quality coverage, and reduce duplicate testing efforts between SIT and UAT processes. Collaborate with project managers, testing teams, business users, and external partners to manage testing timelines, dependencies, risks, deliverables, and implementation of readiness activities. Facilitate requirements of walkthroughs, knowledge-sharing sessions, and testing reviews to ensure a clear understanding of business expectations, system functionality, and testing objectives. Manage the full defect lifecycle including defect identification, logging, triage, prioritization, escalation, retesting, resolution validation, and status reporting utilizing approved enterprise testing and defect management tools. Track, analyze, and communicate testing metrics, execution progress, defect trends, test coverage, quality risks, and UAT results to leadership, stakeholders, and project teams. Analyze, review, refine, and enhance existing regression test suites to improve testing efficiency, business-process validation, and overall regression coverage across CAPS systems. Lead test automation initiatives by developing automation strategies, identifying automation opportunities, recommending appropriate frameworks and tools, and implementing automated regression testing solutions to reduce manual testing effort and improve quality outcomes. Support post-implementation validation, production issue analysis, continuous process improvement initiatives, QA/UAT best practices, and additional CAPS Program Administration activities as assigned. Qualifications Required Bachelors degree in Computer Science, Information Systems, Business, Engineering, Mathematics, or related field; or equivalent combination of education and experience. Minimum of five (5) years of experience in Quality Assurance (QA), User Acceptance Testing (UAT), and/or Business Analysis roles supporting enterprise systems. Minimum of three (3) years of experience in test automation, including automation strategy development and transitioning manual testing processes into automated solutions. Strong experience developing test strategies, test cases, test scripts, and executing functional, regression, integration, end-to-end, and UAT testing. Demonstrated experience analyzing business and functional requirements, developing use cases, and translating business needs into testable scenarios. Experience in performing data quality validation, data reconciliation, and testing across enterprise applications, interfaces, and reporting solutions. Hands-on experience with QA and test management tools such as Jira, Azure DevOps, Smartsheet, or similar platforms. Hands-on experience with automation tools such as Selenium, Playwright, Cypress, TestComplete, Power Automate, UFT, or similar technologies. Experience working with Microsoft reporting and analytics tools including Power BI and/or Microsoft Fabric. Proven ability to work independently as a senior-level individual contributor while effectively collaborating with business users, internal teams, external partners, and vendors in a cross-functional environment. Preferred Experience working with data systems and automated business processes. Experience creating or using systems for automated testing. Experience organizing and analyzing data to inform decision making. Knowledge of Gateway Integrated Eligibility System. Knowledge of system development and configuration. Advanced skills in Excel and other Microsoft Office applications. Experience with Agile/Scrum methodologies Familiarity with data warehousing, ETL processes, or data pipelines Technical Competencies Knowledge of eligibility requirements and systems. Understanding of automation processes and business needs. Deep understanding of test types such as black box, regression, and negative testing. Experience with testing frameworks and tools (Selenium, Power Automate, jUnit, Azure Test Plans). Ability to deliver high-quality customer service and maintain positive work relationships. Ability to organize and evaluate data to drive decision making. Ability to collaborate with diverse communities and demonstrate cultural sensitivity. Understanding of eligibility systems and requirements. Experience with .NET applications, Angular front-ends, and relational databases. Intermediate to advanced skills in Microsoft Word, Excel, and SharePoint. Ability to develop user stories and acceptance criteria. Effective communication, collaboration, and customer service skills. Ability to collaborate with diverse communities and maintain positive work relationships. Strong analytical and problem-solving skills Excellent communication and stakeholder management Ability to translate business requirements into technical test artifacts. Attention to detail and commitment to quality. Ability to manage multiple priorities in a fast-paced environment. Physical Requirements Office-based work with intermittent sitting, standing, and walking. Ability to speak clearly and hear at a normal conversational level. Visual acuity for data analysis and computer work. Full range of hand and finger motion for data entry.
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
11/11/2026
Full time
Job Description Job Description Product Owner, Business Intelligence, Automation and AI Position Summary: At TireHub we move more than tires - we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers - because they're at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes - to challenges, to each other, and to getting it done right. The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products with TireHub's business partners. This position provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting solutions. The Product Owner serves as the primary liaison between business stakeholders, technical teams, vendors, and leadership to ensure product roadmaps, backlogs, and delivered solutions align with TireHub's strategic priorities, operational needs, governance standards, and measurable business value. This position reports to Director, Enterprise Applications. The individual must exhibit the following core TireHub commitments: Approachable - If a company could smile, we would. Instead, we rely on our people to show it. We care about each other and our customers because we know business only gets done right when people respect each other and value relationships. Adventurous - What TireHub is set up to do is intentionally outrageous. So, we readily embrace challenges with the courage to introduce new ideas and the ambition to build something unique. Relentless - We tackle our work with energy. We deliver on our commitments with enthusiasm. And we don't give up until we get to the end. Speedy - Speed is the currency in the tire industry. When we commit to a job, we get the job done - and we do it fast. Role Specifics: Owns, maintains, and communicates the short-term and long-term product roadmap for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities. Partners with business leaders and stakeholders to identify, evaluate, and prioritize high-value use cases for AI, workflow automation, data products, dashboards, analytics, and reporting solutions. Maintains, and accounts for product team progress to business stakeholders in bi-weekly prioritization. Works with assigned architect and business analyst on ongoing process of backlog grooming and elaboration to prepare actionable content for sprints. Works with technical leads in assigned areas to plan appropriate level of resource augmentation with offshore partners. Works with the scrum master on fine tuning the agile process for the product team through retrospectives and metric analysis. Creates, maintains, and prioritizes product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment. Acts as the primary point of contact between business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership to translate business needs into clear, actionable product requirements. Guides Agile delivery teams through successful delivery of committed sprints, ensuring requirements are clearly understood, business priorities are aligned, and blockers are resolved quickly. Collaborates with AI and automation technical resources to define, evaluate, pilot, and scale solutions such as workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows. Works with data engineering and BI teams to support the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality expectations, metadata standards, and reporting needs. Partners with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, report adoption plans, and actionable insights for leadership and operational teams. Supports data governance, AI governance, security, privacy, and access control requirements by ensuring solutions follow TireHub standards for responsible AI use, data protection, and approved business processes. Prepares business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives. Evaluates emerging AI, automation, data, and analytics tools and capabilities, coordinating pilots and proofs of concept to determine business value and implementation feasibility. Facilitates QA, UAT, and validation activities to ensure delivered solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards. Monitors product performance, adoption, user feedback, and operational outcomes to continuously improve AI, automation, data, and reporting products. Communicates product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in clear business terms. Facilitates problem resolution and removes blockers that are preventing delivery progression or product adoption. Participates and maintains ongoing training requirements through in-class, in-person, or computer-based learning modules, as assigned. Ensures individual adherence to TireHub policies, procedures, and guidelines. Completes other tasks assigned by their supervisor or another member of Leadership, as requested. Competencies: Product Vision & Strategy: Defines and communicates clear product direction, roadmaps, priorities, and value outcomes for AI, automation, data, and reporting capabilities. Innovation Orientation: Commits to creating and exploring new approaches, particularly at the intersection of AI, automation, and analytics, that enhance business performance. Data-Driven Decision Making: Uses analytics, KPIs, product metrics, business outcomes, and stakeholder feedback to guide product decisions and prioritization. Business & Financial Acumen: Understands ROI, cost savings, efficiency gains, risk reduction, adoption, and business value when evaluating product investments and delivery decisions. Optimizes Work Processes: Identifies and implements efficient processes, automation opportunities, and continuous improvement practices to improve business outcomes. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT teams, vendors, and leadership to achieve shared objectives. Agility and Adaptability: Thrives in an Agile environment and embraces new technologies, methods, and business priorities in a fast-moving AI, automation, and analytics landscape. Communication: Communicates technical concepts, data insights, product priorities, and delivery progress clearly to both technical and non-technical audiences. Education and Experience: Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field required; an equivalent combination of education and experience will be considered. 5+ years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role. 2+ years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool. Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams. Experience working with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities preferred. Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts preferred. Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption preferred. Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions. Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion. Experience working and collaborating with remote or geographically distributed team members across multiple time zones. Experience in distribution, supply chain, retail, logistics, or a similar industry preferred. Required Knowledge, Skills, and Abilities: Strong understanding of product ownership practices, including Agile delivery methodologies, backlog management, sprint planning, and stakeholder prioritization. Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into clearly defined product requirements for AI, automation, data, and reporting solutions. Working knowledge of Power BI, including dashboard and report development, dataset management, KPI definition, data definitions . click apply for full job details
Job Description Job Description Job Title: Network Architect Consultant ( 13297 ) Location: Columbia, SC 29208 Work Arrangement: Fully Onsite Duration: 6 Months Extension: Possible Interview Process: 2 Rounds Virtual In Person Candidate Requirements Candidate must be a South Carolina resident or willing to relocate to South Carolina before starting at their own expense . Candidates must be US Citizens or Legal Residents . Position is primarily onsite at the University of South Carolina Columbia campus . Occasional remote work may be permitted, but the majority of work will be onsite. Key Responsibilities Lead enterprise network architecture, advanced engineering, modernization, and infrastructure implementation initiatives. Design scalable, resilient, and secure LAN, WAN, wireless, data center, cloud, VPN, firewall, and Network Access Control (NAC) solutions. Develop enterprise network architectures, engineering standards, reference architectures, technical roadmaps, network diagrams, and supporting documentation. Translate institutional, business, and technical requirements into enterprise network designs and implementation strategies. Lead network modernization, lifecycle planning, capacity planning, resiliency, and high-availability initiatives. Advance network automation, orchestration, scripting, Infrastructure as Code (IaC), and deployment practices . Develop and enhance enterprise monitoring, observability, telemetry, alerting, analytics, metrics, and performance management capabilities. Serve as a Tier III escalation resource for complex network incidents and advanced troubleshooting. Coordinate with Network Operations, Information Security, Cloud Services, Facilities Planning, contractors, consultants, vendors, and campus stakeholders. Evaluate emerging technologies and provide technical recommendations supporting procurement and long-term infrastructure planning. Provide technical mentoring, documentation, and knowledge transfer to operational teams. Participate in maintenance windows and after-hours support when required. Required Skills 4 years of enterprise network architecture and engineering experience within complex, mission-critical environments. 4 years with LAN/WAN technologies, including: Juniper enterprise routing and switching TCP/IP Enterprise routing protocols DNS DHCP IPAM 4 years leading complex network architecture and engineering initiatives from requirements and design through implementation, troubleshooting, and operational transition. 4 years with enterprise infrastructure modernization, lifecycle planning, capacity planning, resiliency, and high-availability design. 4 years with network security architecture and technologies, including: Fortinet firewalls VPN / SASE Network Access Control (NAC) Network segmentation Security policy implementation 4 years with cloud and hybrid networking using AWS and/or Microsoft Azure . 4 years with network automation, orchestration, scripting, and Infrastructure as Code (IaC) concepts and technologies. 4 years with enterprise network monitoring, observability, analytics, metrics, and performance management. Preferred Skills Enterprise network strategy, architecture standards, reference architectures, and long-term technology roadmaps. Network architecture and engineering experience within a complex higher-education environment supporting academic, research, administrative, and institutional requirements. Aruba and Cisco enterprise switching and wireless technologies. Software-defined and centrally managed network architectures. Enterprise observability, telemetry, automation, and proactive/self-healing infrastructure. Virtualization, cloud networking, and hybrid cloud infrastructure. Experience coordinating infrastructure projects with facilities organizations, architects, contractors, consultants, vendors, and external engineering firms. Enterprise cybersecurity, Zero Trust, network segmentation, and secure network architecture initiatives. Education / Certifications Required: Bachelor's degree in Computer Science, Information Technology, Network Engineering, Computer Engineering, or a closely related discipline OR equivalent work experience . Preferred One or More: JNCIP-ENT or higher Fortinet Certified Professional (FCP) or higher CCNP Enterprise CCIE Aruba networking certification AWS or Microsoft Azure certification relevant to networking/cloud architecture ITIL Foundation or higher CompTIA Security About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
11/06/2026
Full time
Job Description Job Description Job Title: Network Architect Consultant ( 13297 ) Location: Columbia, SC 29208 Work Arrangement: Fully Onsite Duration: 6 Months Extension: Possible Interview Process: 2 Rounds Virtual In Person Candidate Requirements Candidate must be a South Carolina resident or willing to relocate to South Carolina before starting at their own expense . Candidates must be US Citizens or Legal Residents . Position is primarily onsite at the University of South Carolina Columbia campus . Occasional remote work may be permitted, but the majority of work will be onsite. Key Responsibilities Lead enterprise network architecture, advanced engineering, modernization, and infrastructure implementation initiatives. Design scalable, resilient, and secure LAN, WAN, wireless, data center, cloud, VPN, firewall, and Network Access Control (NAC) solutions. Develop enterprise network architectures, engineering standards, reference architectures, technical roadmaps, network diagrams, and supporting documentation. Translate institutional, business, and technical requirements into enterprise network designs and implementation strategies. Lead network modernization, lifecycle planning, capacity planning, resiliency, and high-availability initiatives. Advance network automation, orchestration, scripting, Infrastructure as Code (IaC), and deployment practices . Develop and enhance enterprise monitoring, observability, telemetry, alerting, analytics, metrics, and performance management capabilities. Serve as a Tier III escalation resource for complex network incidents and advanced troubleshooting. Coordinate with Network Operations, Information Security, Cloud Services, Facilities Planning, contractors, consultants, vendors, and campus stakeholders. Evaluate emerging technologies and provide technical recommendations supporting procurement and long-term infrastructure planning. Provide technical mentoring, documentation, and knowledge transfer to operational teams. Participate in maintenance windows and after-hours support when required. Required Skills 4 years of enterprise network architecture and engineering experience within complex, mission-critical environments. 4 years with LAN/WAN technologies, including: Juniper enterprise routing and switching TCP/IP Enterprise routing protocols DNS DHCP IPAM 4 years leading complex network architecture and engineering initiatives from requirements and design through implementation, troubleshooting, and operational transition. 4 years with enterprise infrastructure modernization, lifecycle planning, capacity planning, resiliency, and high-availability design. 4 years with network security architecture and technologies, including: Fortinet firewalls VPN / SASE Network Access Control (NAC) Network segmentation Security policy implementation 4 years with cloud and hybrid networking using AWS and/or Microsoft Azure . 4 years with network automation, orchestration, scripting, and Infrastructure as Code (IaC) concepts and technologies. 4 years with enterprise network monitoring, observability, analytics, metrics, and performance management. Preferred Skills Enterprise network strategy, architecture standards, reference architectures, and long-term technology roadmaps. Network architecture and engineering experience within a complex higher-education environment supporting academic, research, administrative, and institutional requirements. Aruba and Cisco enterprise switching and wireless technologies. Software-defined and centrally managed network architectures. Enterprise observability, telemetry, automation, and proactive/self-healing infrastructure. Virtualization, cloud networking, and hybrid cloud infrastructure. Experience coordinating infrastructure projects with facilities organizations, architects, contractors, consultants, vendors, and external engineering firms. Enterprise cybersecurity, Zero Trust, network segmentation, and secure network architecture initiatives. Education / Certifications Required: Bachelor's degree in Computer Science, Information Technology, Network Engineering, Computer Engineering, or a closely related discipline OR equivalent work experience . Preferred One or More: JNCIP-ENT or higher Fortinet Certified Professional (FCP) or higher CCNP Enterprise CCIE Aruba networking certification AWS or Microsoft Azure certification relevant to networking/cloud architecture ITIL Foundation or higher CompTIA Security About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
10/28/2026
Full time
Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.
Seville Services LLC seeks an Assisted Living/Memory Care Associate to support our cloud-based analytics and CRM solutions for senior care clients. You'll configure and maintain assisted living and memory care software modules, troubleshoot technical issues, and train users to optimize workflows. Partnering with product, data, and engineering teams, you'll translate client needs into system improvements, ensure data accuracy and compliance, and contribute to testing and deployment. Join an innovative, collaborative culture with growth, mentorship, and exposure to cutting-edge health-tech projects. Responsibilities Support implementation and configuration of assisted living/memory care software modules Monitor system performance and resolve user-reported technical issues Collaborate with product, data, and QA teams to improve platform usability Train end users and create documentation for software features and workflows Analyze user data and feedback to recommend product enhancements Maintain data quality, security, and compliance within the platform Participate in testing, deployments, and release validation Provide Tier 1-2 application support to internal and external stakeholders Required Skills Saa S application support SQL and data querying CRM platforms Healthcare or senior care software System configuration and administration Technical troubleshooting User training and documentation Data analytics and reporting API and integration basics Quality assurance and UAT
09/30/2026
Full time
Seville Services LLC seeks an Assisted Living/Memory Care Associate to support our cloud-based analytics and CRM solutions for senior care clients. You'll configure and maintain assisted living and memory care software modules, troubleshoot technical issues, and train users to optimize workflows. Partnering with product, data, and engineering teams, you'll translate client needs into system improvements, ensure data accuracy and compliance, and contribute to testing and deployment. Join an innovative, collaborative culture with growth, mentorship, and exposure to cutting-edge health-tech projects. Responsibilities Support implementation and configuration of assisted living/memory care software modules Monitor system performance and resolve user-reported technical issues Collaborate with product, data, and QA teams to improve platform usability Train end users and create documentation for software features and workflows Analyze user data and feedback to recommend product enhancements Maintain data quality, security, and compliance within the platform Participate in testing, deployments, and release validation Provide Tier 1-2 application support to internal and external stakeholders Required Skills Saa S application support SQL and data querying CRM platforms Healthcare or senior care software System configuration and administration Technical troubleshooting User training and documentation Data analytics and reporting API and integration basics Quality assurance and UAT
Job Description Job Description ZERO TRUST PROJECT LEAD POSITION DESCRIPTION General Description Zermount Inc. is seeking a Zero Trust (ZT) Technical Project Lead with demonstrated experience in providing enterprise support services while leveraging industry-standard service management best practices. We are looking for a team lead that is able to withstand even the most complex environments for our ZT enterprise initiative. The Project Lead will lead, plan, and manage Information Technology (IT) projects as well as provide leadership and guiding technical staff. They will integrate business and technical aspects of projects that are a part of the implementation of ZT principles across all pillars of ZT (identity, device, network, application and workload and data) to assist the client in meeting the requirements set forth by EO 14028 and OMB M 22-09. The Project Lead will also assess business implications, monitor progress in meeting deadlines, standards, and customer cost targets. They will establish goals and plans that meet project objectives and have expert technical knowledge. In addition, they will direct and control activities for a client, having overall responsibility for financial management, methods, and staffing to ensure all technical requirements are met. This position also includes client reporting and interfacing with senior management to communicate a program's progress and achievements. Decision-making and domain knowledge may have a critical impact on project implementation. The Project Lead will supervise others. Duties & Responsibilities: The ZT Project Lead will lead the Zermount ZT Team to ensure we are designing and implementing solutions and services that secure federal networks and provide leadership required to meet the objectives of EO 14028 and other Federal requirements. Additionally, the ZT Project Lead will provide support and services to include: Analyze, plan, and develop scheduled project plans. Responsible for program Integrated Master Scheduler (IMS) updates, health, and accuracy. Responsible for quality management and control. Provide SME support and technical guidance to information system stakeholders on the implementation of ZTA requirements and participate in design reviews upon request. Ensure alignment of the ZTA program to organizational strategies and deliver anticipated benefits of ZT as outlined in EO 14028, the CISA ZT Maturity Model, and the NIST SP 800-207. Creating month status reports (progression week 1 through week 4 buildup). Perform risk management to include: (1) managing risk across the ZTA program as the landscape evolves; and (2) integrating ZTA into the existing TSA and DHS Cybersecurity Risk Management framework and CISA's ZT maturity model with the goal of the solution reaching the optimal state of maturity. Draft Program Management Report (PMR). Responsible for streamlining and automating enterprise-level performance reporting for all components within ZT, aligned with existing and planned reporting and analytics structures and tools, such as the Continuous Diagnostics and Mitigation (CDM) dashboards, FISMA reporting, and Information Security Continuous Monitoring (ISCM) dashboards Establishing and implementing training processes for all technical personnel. Assisting the TSA in its ultimate goal of meeting or exceeding the "managed and measurable" IG CIGIE FISMA maturity metrics as amended, for all applicable security functions for ZT. Develop, implement, and maintain enterprise-wide performance metrics and measures for the ZT initiative Determine and define clear deliverables, roles, and responsibilities for all resources. Create performance measures for all resources. Managing, updating and maintaining all ZTA program governance documents including but not limited to the ZTA roadmap; which articulates the programs vision, scope, and direction Responsible for development of all management artifacts (PMP, IMP, CP, RMP, QAP, etc.). Ensure program integration and operational processes and procedures. Establishing and maintaining relationships among all stakeholders. Design Dashboard/Briefings to measure program performance, schedule, etc. Responsible for mapping ZTA capabilities outlined throughout this PWS, existing capabilities within the department, and new capabilities the Contractor recommends be added to the Pillars of Zero Trust (currently 5 Pillars) as outlined by CISA, M-21-31, M-22-01, M-22-09, EO 14028, NIST 800-207, and any future memoranda, executive orders, and standards. The Contractor must also map new ZTA capabilities that the Government approves Mentor Team Leads Review and ensure all deliverables are submitted in accordance with the SOW and in a timely manner. Cross task area support as required. Qualifications: A minimum of 10 years of IT cybersecurity management experience including 3 years of direct support for the US Government OR a relevant Bachelor's degree in IT, computer science, business or engineering and 10+ years of IT cybersecurity management experience including 3 years of direct support for the US Government. Experience communicating effectively, both oral and written, with technical, non-technical, and executive-level customers. Understanding and experience with Agile Principles, processes and methodologies. Knowledge of EO 14028, OMB M 22-09, Federal, DoD, and CISA Zero Trust Architecture, Maturity Model, and Technical Reference Architectures. Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a team. Demonstrated ability to effectively engage and manage relationships with highly political clients while maintaining a professional demeanor, exhibiting patience, and navigating sensitive situations with tact. Ability to navigate complex and politically sensitive client environments with professionalism, patience, and tact. Zero Trust Specific Qualifications: System Maturity Model Expertise in the implementation, strategy, roadmap, and analysis with regard to TSA systems and the TSA Enterprise and meet the requirements outlined in M-21-31, M-22-09, EO 14028, and NIST SP 800-207. Working experience associated with implementing all of the Zero Trust requirements based off of the CISA Zero Trust Maturity Model 2.0 and any upcoming versions. SME level knowledge within at least one of the five Zero Trust Maturity Model pillars as defined by the CISA Maturity Model. Possess a deep understanding and proficiency in the principles, technologies, and best practices associated with the pillars. Provide strategic guidance and expertise in implementing Zero Trust within their assigned pillar, ensuring alignment with industry standards and organizational objectives. Deep understanding of the criteria needed to meet the Federal Governments intended, optimal, maturity level. Ability to develop a Zero Trust Maturity Roadmap to achieve optimal maturity level. Education: Minimum of a Bachelor of Science (or higher) in one of the following: computer engineering, computer science, IT, cyber security, or a related field. Relevant years of experience may be used in substitution for situations where the candidate does not have a Bachelor's degree in the required field. Clearance level: Minimum of an active Secret Clearance. Work Location: Hybrid - Primarily Remote. Required onsite work at the client location in Springfield, VA and Zermount HQ in Arlington, VA., will be occasionally required. Hours of Operation: Business Hours: 8:00 am EST - 4:30 pm EST.
09/26/2026
Full time
Job Description Job Description ZERO TRUST PROJECT LEAD POSITION DESCRIPTION General Description Zermount Inc. is seeking a Zero Trust (ZT) Technical Project Lead with demonstrated experience in providing enterprise support services while leveraging industry-standard service management best practices. We are looking for a team lead that is able to withstand even the most complex environments for our ZT enterprise initiative. The Project Lead will lead, plan, and manage Information Technology (IT) projects as well as provide leadership and guiding technical staff. They will integrate business and technical aspects of projects that are a part of the implementation of ZT principles across all pillars of ZT (identity, device, network, application and workload and data) to assist the client in meeting the requirements set forth by EO 14028 and OMB M 22-09. The Project Lead will also assess business implications, monitor progress in meeting deadlines, standards, and customer cost targets. They will establish goals and plans that meet project objectives and have expert technical knowledge. In addition, they will direct and control activities for a client, having overall responsibility for financial management, methods, and staffing to ensure all technical requirements are met. This position also includes client reporting and interfacing with senior management to communicate a program's progress and achievements. Decision-making and domain knowledge may have a critical impact on project implementation. The Project Lead will supervise others. Duties & Responsibilities: The ZT Project Lead will lead the Zermount ZT Team to ensure we are designing and implementing solutions and services that secure federal networks and provide leadership required to meet the objectives of EO 14028 and other Federal requirements. Additionally, the ZT Project Lead will provide support and services to include: Analyze, plan, and develop scheduled project plans. Responsible for program Integrated Master Scheduler (IMS) updates, health, and accuracy. Responsible for quality management and control. Provide SME support and technical guidance to information system stakeholders on the implementation of ZTA requirements and participate in design reviews upon request. Ensure alignment of the ZTA program to organizational strategies and deliver anticipated benefits of ZT as outlined in EO 14028, the CISA ZT Maturity Model, and the NIST SP 800-207. Creating month status reports (progression week 1 through week 4 buildup). Perform risk management to include: (1) managing risk across the ZTA program as the landscape evolves; and (2) integrating ZTA into the existing TSA and DHS Cybersecurity Risk Management framework and CISA's ZT maturity model with the goal of the solution reaching the optimal state of maturity. Draft Program Management Report (PMR). Responsible for streamlining and automating enterprise-level performance reporting for all components within ZT, aligned with existing and planned reporting and analytics structures and tools, such as the Continuous Diagnostics and Mitigation (CDM) dashboards, FISMA reporting, and Information Security Continuous Monitoring (ISCM) dashboards Establishing and implementing training processes for all technical personnel. Assisting the TSA in its ultimate goal of meeting or exceeding the "managed and measurable" IG CIGIE FISMA maturity metrics as amended, for all applicable security functions for ZT. Develop, implement, and maintain enterprise-wide performance metrics and measures for the ZT initiative Determine and define clear deliverables, roles, and responsibilities for all resources. Create performance measures for all resources. Managing, updating and maintaining all ZTA program governance documents including but not limited to the ZTA roadmap; which articulates the programs vision, scope, and direction Responsible for development of all management artifacts (PMP, IMP, CP, RMP, QAP, etc.). Ensure program integration and operational processes and procedures. Establishing and maintaining relationships among all stakeholders. Design Dashboard/Briefings to measure program performance, schedule, etc. Responsible for mapping ZTA capabilities outlined throughout this PWS, existing capabilities within the department, and new capabilities the Contractor recommends be added to the Pillars of Zero Trust (currently 5 Pillars) as outlined by CISA, M-21-31, M-22-01, M-22-09, EO 14028, NIST 800-207, and any future memoranda, executive orders, and standards. The Contractor must also map new ZTA capabilities that the Government approves Mentor Team Leads Review and ensure all deliverables are submitted in accordance with the SOW and in a timely manner. Cross task area support as required. Qualifications: A minimum of 10 years of IT cybersecurity management experience including 3 years of direct support for the US Government OR a relevant Bachelor's degree in IT, computer science, business or engineering and 10+ years of IT cybersecurity management experience including 3 years of direct support for the US Government. Experience communicating effectively, both oral and written, with technical, non-technical, and executive-level customers. Understanding and experience with Agile Principles, processes and methodologies. Knowledge of EO 14028, OMB M 22-09, Federal, DoD, and CISA Zero Trust Architecture, Maturity Model, and Technical Reference Architectures. Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a team. Demonstrated ability to effectively engage and manage relationships with highly political clients while maintaining a professional demeanor, exhibiting patience, and navigating sensitive situations with tact. Ability to navigate complex and politically sensitive client environments with professionalism, patience, and tact. Zero Trust Specific Qualifications: System Maturity Model Expertise in the implementation, strategy, roadmap, and analysis with regard to TSA systems and the TSA Enterprise and meet the requirements outlined in M-21-31, M-22-09, EO 14028, and NIST SP 800-207. Working experience associated with implementing all of the Zero Trust requirements based off of the CISA Zero Trust Maturity Model 2.0 and any upcoming versions. SME level knowledge within at least one of the five Zero Trust Maturity Model pillars as defined by the CISA Maturity Model. Possess a deep understanding and proficiency in the principles, technologies, and best practices associated with the pillars. Provide strategic guidance and expertise in implementing Zero Trust within their assigned pillar, ensuring alignment with industry standards and organizational objectives. Deep understanding of the criteria needed to meet the Federal Governments intended, optimal, maturity level. Ability to develop a Zero Trust Maturity Roadmap to achieve optimal maturity level. Education: Minimum of a Bachelor of Science (or higher) in one of the following: computer engineering, computer science, IT, cyber security, or a related field. Relevant years of experience may be used in substitution for situations where the candidate does not have a Bachelor's degree in the required field. Clearance level: Minimum of an active Secret Clearance. Work Location: Hybrid - Primarily Remote. Required onsite work at the client location in Springfield, VA and Zermount HQ in Arlington, VA., will be occasionally required. Hours of Operation: Business Hours: 8:00 am EST - 4:30 pm EST.