82 jobs found

Job Description Job Description Job Title: Sr. Quality Automation Engineer Location: Pittsburgh, Pennsylvania, United States Responsibilities Design and develop high-quality automated UI and API tests for web applications. Create industry-standard test automation solutions and scripts. Perform in-sprint manual and automation testing within an agile setting. Develop and manage comprehensive software test plans and traceability matrices. Write high-quality regression test plans for applications under validation. Provide manual and automation testing estimates during discovery and sprint planning phases. Investigate automated & manual test failures to ensure application correctness and update test scripts as needed. Replicate production defects in lower environments and log defects for resolution. Provide issue walkthroughs to developers and software engineers. Collaborate with DevOps teams to set up quality gates and execute automated tests in the delivery pipeline. Automate repetitive validation tasks using browser-based and API-based test automation tools. Report testing results and metrics to QA leads, managers, and project stakeholders. Partner with product teams to define acceptance criteria and develop BDD tests. Perform all activities involved in the software testing lifecycle. Requirements Over 6+ years of experience working as a quality engineer in an Agile team. 6+ years of test automation experience using Selenium and Cucumber. Experience in Karate and Playwright. Experience managing code repositories and version control using Azure DevOps, GIT, or SVN. Proficiency in developing API tests with Karate framework. Experience creating tests with Cucumber and BDD frameworks. 4+ years of developing, maintaining, and executing automated regression tests for web and backend applications. 3+ years of writing SQL scripts and performing Data Testing. Good understanding of Agile project management and DevOps tools. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: Sr. Quality Automation Engineer Location: Cleveland, OH Responsibilities Design and develop high-quality automated UI and API tests for web applications. Create industry-standard test automation solutions and scripts. Perform in-sprint manual and automation testing within an agile setting. Develop and manage comprehensive software test plans and traceability matrices. Write high-quality regression test plans for applications under validation. Provide manual and automation testing estimates during discovery and sprint planning phases. Investigate automated & manual test failures to ensure application correctness and update test scripts as needed. Replicate production defects in lower environments and log defects for resolution. Provide issue walkthroughs to developers and software engineers. Collaborate with DevOps teams to set up quality gates and execute automated tests in the delivery pipeline. Automate repetitive validation tasks using browser-based and API-based test automation tools. Report testing results and metrics to QA leads, managers, and project stakeholders. Partner with product teams to define acceptance criteria and develop BDD tests. Perform all activities involved in the software testing lifecycle. Requirements Over 6+ years of experience working as a quality engineer in an Agile team. 6+ years of test automation experience using Selenium and Cucumber. Experience in Karate and Playwright. Experience managing code repositories and version control using Azure DevOps, GIT, or SVN. Proficiency in developing API tests with Karate framework. Experience creating tests with Cucumber and BDD frameworks. 4+ years of developing, maintaining, and executing automated regression tests for web and backend applications. 3+ years of writing SQL scripts and performing Data Testing. Good understanding of Agile project management and DevOps tools. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Title: QA Automation Engineer Location: San Jose CA Duration: 6 months Payrate: $55-65/hr C2C Key Responsibilities - Design develop and maintain automated test frameworks using Playwright and Python. Perform API testing validation and automation using RESTJSON services. Develop and execute test cases for applications integrating with MS SQL and Snowflake databases. Build and manage automated test pipelines using Jenkins. Analyze application logs troubleshoot issues and support root-cause analysis using Splunk. Collaborate with development SRE and product teams to ensure high-quality software releases. Leverage Cursor Microsoft Copilot and OpenAI tools to improve test automation productivity and test coverage. Create and maintain QA documentation test plans and automation reports.

Job Description Job Description Job Title: Sr. Quality Automation Engineer Location: Dallas, TX Responsibilities Design and develop high-quality automated UI and API tests for web applications. Create industry-standard test automation solutions and scripts. Perform in-sprint manual and automation testing within an agile setting. Develop and manage comprehensive software test plans and traceability matrices. Write high-quality regression test plans for applications under validation. Provide manual and automation testing estimates during discovery and sprint planning phases. Investigate automated & manual test failures to ensure application correctness and update test scripts as needed. Replicate production defects in lower environments and log defects for resolution. Provide issue walkthroughs to developers and software engineers. Collaborate with DevOps teams to set up quality gates and execute automated tests in the delivery pipeline. Automate repetitive validation tasks using browser-based and API-based test automation tools. Report testing results and metrics to QA leads, managers, and project stakeholders. Partner with product teams to define acceptance criteria and develop BDD tests. Perform all activities involved in the software testing lifecycle. Requirements Over 6+ years of experience working as a quality engineer in an Agile team. 6+ years of test automation experience using Selenium and Cucumber. Experience in Karate and Playwright. Experience managing code repositories and version control using Azure DevOps, GIT, or SVN. Proficiency in developing API tests with Karate framework. Experience creating tests with Cucumber and BDD frameworks. 4+ years of developing, maintaining, and executing automated regression tests for web and backend applications. 3+ years of writing SQL scripts and performing Data Testing. Good understanding of Agile project management and DevOps tools. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description SUMMARY We focus on delivering high-quality software swiftly and reliably. Our mission is to optimize deployment, ensuring efficient and confident feature updates for users. We maintain stable, secure, and scalable systems for growth. If you love automation, continuous delivery, and smooth operations, you'll excel here. ESSENTIAL DUTIES AND RESPONSIBILITIES Design, implement, and maintain CI/CD pipelines to support fast, safe, and repeatable deployments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or ARM templates. Manage and optimize cloud infrastructure on Microsoft Azure, ensuring high availability, performance, and security. Leverage Azure DevOps for version control, build/release pipelines, and project tracking. Monitor system performance and proactively address issues across development, staging, and production environments. Collaborate with engineering teams to improve deployment strategies, observability, and incident response. Track and improve DORA metrics: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery. Contribute to the implementation of security best practices across infrastructure and deployment workflows. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. KNOWLEDGE, SKILLS, and/or ABILITIES Required 5 years of experience in a DevOps Engineering, or related role. Strong hands-on experience with Azure DevOps and Azure cloud services. Proficiency with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with CI/CD tools such as Azure Pipelines, GitHub Actions or GitLab CI. Solid scripting skills (e.g., Bash, PowerShell, Python). Familiarity with monitoring and logging tools (e.g., Grafana, ELK, Azure Monitor). Strong understanding of networking, security, and system administration fundamentals. Preferred Experience with serverless architectures and microservices. Microsoft Azure certifications (e.g., AZ-400, AZ-104). Familiarity with Agile, DevSecOps, and ITIL practices. EDUCATION and/or EXPERIENCE Required Education - 2 year degree in Computer Science or related field of study. Experience - 0-2 years of experience in software development. o Understanding of Enterprise software systems and Line of Business development Preferred Education - 4 year degree in Computer Science or related field of study. Experience o 3-5 years of experience in software development. o Previous experience in the distribution industry o Development of APIs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary Micron is seeking a Wastewater Engineer to support the design, construction, commissioning, operation, and continuous improvement of advanced wastewater treatment systems at its manufacturing and technology development facilities in Boise, Idaho. This role is responsible for optimizing system performance, supporting environmental compliance, and driving operational excellence across wastewater reclaim and zero liquid discharge (ZLD) systems. The Wastewater Engineer partners with operations, maintenance, construction, and engineering teams to identify and fix problems in equipment and processes, implement system upgrades, analyze performance data, and support capital projects. This position uses digital technologies, automation platforms, data analytics, and AI-assisted tools to improve system reliability, efficiency, and decision-making. It applies sound engineering judgment and industry guidelines. Responsibilities Support the operation, optimization, resolving, and continuous improvement of semiconductor wastewater treatment, wastewater reclaim, and zero liquid discharge (ZLD) systems to ensure safe, reliable, and efficient performance. Monitor system health and process performance using SCADA, SPC, IoT, and other digital tools, finding opportunities to improve reliability, capacity, sustainability, and cost efficiency. Analyze operational data, trends, and system metrics to drive process improvements, reduce risk, and enhance overall equipment and system performance. Partner with operations, maintenance, manufacturing, and facilities teams to ensure systems operate within design specifications, permit requirements, and business objectives. Provide engineering support for facility upgrades, equipment installations, commissioning activities, startup efforts, and process modifications across wastewater infrastructure. Lead or contribute to projects across multiple functions by supporting scope development, cost estimating, scheduling, risk management, vendor coordination, and project execution. Leverage data analytics, digital technologies, and AI-assisted tools to improve decision-making, streamline documentation, accelerate problem-solving, and optimize operational performance while validating outcomes through sound engineering judgment. Promote a strong culture of safety, environmental compliance, quality, and accountability by participating in audits, risk assessments, continuous improvement initiatives, and collaboration with internal and external partners. Minimum Qualifications Bachelor's degree in Chemical, Civil, Environmental Engineering, or a related technical field, or equivalent experience. Experience in wastewater treatment, water systems, utility operations, or industrial process engineering. Working knowledge of wastewater processes, process controls, instrumentation, and mechanical systems. Strong analytical, problem-solving, project management, and organizational skills with the ability to manage multiple priorities. Proficiency with Microsoft Office and a commitment to safety, environmental compliance, and continuous improvement. Preferred Qualifications 3+ years of experience with wastewater treatment, water reclamation, zero liquid discharge (ZLD), or industrial utility systems. Experience in semiconductor manufacturing, advanced manufacturing, chemical processing, or other regulated industrial environments. Knowledge of SCADA, PLCs, process automation, SPC, and Industrial IoT monitoring systems. Experience supporting capital projects, including design, installation, commissioning, startup, and optimization activities. Professional Engineer (PE), Engineer-in-Training (EIT), or related certification, with experience using data analytics and digital tools to drive operational improvements. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Job Description Sr. Hardware Project Manager Sr. Hardware Project Manager needed for a highly reputable Industrial Automation Design and Manufacturing company located in the Knoxville, TN area. This is a Direct Hire opportunity with a highly competitive salary and company bonus package. Base salary will depend on experience, education, and training. Job Description: The Senior Project Manager is a highly experienced individual contributor responsible for leading complex, customer-facing projects from initiation through completion. This role manages multiple projects using various project execution methodologies, prepares customer-facing project quotes, and serves as a trusted delivery leader for both customers and internal stakeholders. Senior Project Managers are relied upon by leadership for accurate project status, risk assessment, and execution insight, and they contribute to continuous improvement of project management practices. Essential Job Functions Lead complex, customer-facing projects through all phases of the project lifecycle Manage multiple concurrent projects with varying scope, schedule, and risk profiles Serve as the primary point of contact for customers on assigned projects Develop and manage detailed project plans, schedules, resource plans, and budgets Prepare customer-facing project quotes, schedules, and scope definitions Coordinate cross-functional teams including Engineering, Manufacturing, Test, Supply Chain, Quality, and Operations Track and manage project risks, issues, and dependencies and drive mitigation strategies Manage project scope changes, including impact analysis and customer communication Prepare and present regular project status updates to customers and internal leadership Facilitate project meetings, decision-making, and accountability across teams Ensure projects are delivered in accordance with contractual, quality, and delivery commitments Identify execution gaps and contribute to continuous improvement of project management processes and tools Minimum Qualifications Bachelor's degree in a relevant field such as Engineering, Computer Science, or equivalent practical experience Five to ten years of experience in project management or related roles Project Management experience with Circuit Boards and Circuit Board Design processes. Demonstrated experience leading customer-facing, cross-functional projects to completion Strong understanding of multiple project management methodologies (e.g., Waterfall, Agile, Hybrid) Experience preparing project estimates, schedules, and customer quotes Excellent organizational, planning, and risk management skills Strong written and verbal communication skills, including customer-facing communication Ability to operate independently in complex, high-visibility situations Experience supporting new product introduction (NPI) and customer delivery programs Familiarity with embedded hardware, firmware, or software development environments Desired Qualifications Experience managing technical or product development projects Familiarity with contract terms, change management, and commercial considerations Project Management Professional (PMP) certification Experience working in industrial, manufacturing, or regulated environments Ability to mentor and guide other Project Managers informally Physical requirements Travel as required to support customer-facing project activities (typically limited and planned) Requires sitting, standing, and walking in an office or manufacturing environment Requires talking, hearing, and both near and far vision Lifting minimum 40 lbs

Job Description Job Description QA Data Analyst & Telemetry Specialist IV Description: We're looking for a QA Data Analyst & Telemetry Specialist to help drive our product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams. This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting. You'll investigate product behavior through telemetry, create dashboards and written reports to surface quality risks, and support the QA team in prioritizing and validating work with data-driven confidence. You'll be the team's go-to person for turning raw signals into clear, actionable dashboards, ad-hoc investigations, and concise written reports that inform leadership and cross-functional teams. Duties: Data Analysis & Log Investigation Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy. Instrumentation Partnership Collaborate with engineers to define, scope, and validate telemetry requirements to ensure the right data is being captured for quality signals. Dashboards & Visualization Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health. Written Reports Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health. Root Cause Support Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns. Cross-Team Collaboration Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how they're consumed across tools and stakeholders. Quality Metrics Development Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction. Requirements: Min of 7 years professional experience total with 3-5 years of experience of recent cross functional experience, ideally in large corporation environments or large teams. Strong hands-on experience with data analysis (SQL, Python, R, or similar) Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI) Able to write concise reports with actionable insights - weekly summaries, defect overviews, quality scorecards, etc. Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch) Comfortable discussing and designing instrumentation/logging with engineers Familiarity with QA concepts, release validation, and production monitoring Strong communication skills; can adapt output to technical and non-technical audiences Bonus Points: Background in QA, test automation, or release engineering Experience with OpenTelemetry, distributed tracing, or event-driven logs Experience in continuous delivery environments with real-time observability needs Prior involvement in incident reviews or quality postmortems Bachelor's degree (or higher) in one of the following fields is preferred: Computer Science, Data Science, Information Systems, Software Engineering, Statistics or Applied Mathematics Electrical or Computer Engineering Equivalent practical experience is also welcome - especially in QA, data analysis, SRE, or systems engineering roles. Relevant certifications (e.g., Data Analytics, SQL, Tableau, or Observability/Monitoring tools) are a plus. Compensation: $78.12 - 86.02/hr W-2 Req ID:

Job Description Project Description: The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications. Forward Deployed Engineers will conduct targeted, hands-on engagements with development teams that are facing challenges with vulnerability remediation, automated testing, legacy technology, production stability, or achieving a safe and rapid release cadence. The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and configuration. The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM runtimes, modernizing Spring and legacy middleware applications, improving CI/CD pipelines, containerizing applications, automating deployments, and introducing standard observability and resilience patterns. The Expert FDE is expected to lead complex engagements, work directly with development and client stakeholders, define the technical remediation approach, implement critical changes personally, and enable client teams to maintain the improved engineering practices. Responsibilities: Collaborate directly with development teams to identify and resolve issues related to testing, security, release, deployment, resilience, and legacy technologies. Review application code, dependencies, test coverage, runtime configurations, deployment processes, logs, monitoring systems, and CI/CD pipelines. Write, debug, test, review, and enhance production application code and configurations. Develop and maintain automated unit, integration, component, regression, and deployment smoke tests. Apply Test-Driven Development practices and select appropriate testing approaches with guidance as needed. Source test data and apply masking techniques to protect sensitive information in lower environments. Investigate vulnerabilities and dependency risks, identify root causes, implement secure remediation, and conduct regression testing. Upgrade Java/JVM or NPM runtimes, Spring components, libraries, dependencies, base images, operating systems, and installed software. Assist in implementing automated and continuous dependency updates using Renovate or comparable tools. Support modernization efforts for legacy applications and middleware stacks, including WebSphere or WebLogic when applicable. Containerize applications using Docker and deploy or support them on OpenShift platforms. Enhance Git workflows, branch management, pull requests, and code-review processes. Implement and improve CI/CD pipelines, automated quality gates, deployment validation, and rollback procedures. Automate database changes using Liquibase or similar migration tools. Support application and environment automation through Ansible or equivalent tools. Apply secure coding patterns and adhere to standards for secrets management, authentication, authorization, and handling sensitive data. Improve structured logging, exception handling, health checks, metrics, tracing, dashboards, and operational alerts. Support highly available and resilient deployment strategies. Troubleshoot production and non-production issues using code analysis, SQL, logs, metrics, traces, and diagnostic tools. Communicate progress, risks, technical decisions, blockers, and dependencies to engineering, security, architecture, operations, project management, and client stakeholders. Document implemented solutions and facilitate knowledge transfer to development and support teams. Own a defined technical workstream from assessment and implementation through testing, deployment, and stabilization. Mandatory Skills Description: The role requires strong professional software engineering expertise, typically spanning 4-7 years, including recent hands-on development of production applications. The candidate must actively write and debug code, with recent experience directly involving production code or configuration changes made within the last 12-18 months. Hard skills include: Advanced Java and JVM development, with strong TypeScript skills valued for Node.js environments. Practical experience with Spring or similar enterprise frameworks. Proficiency in Test-Driven Development, automated testing, and familiarity with multiple test frameworks and automation approaches. Capability to develop unit and integration tests and support deployment smoke testing. Experience with CI/CD pipelines, automated builds, quality gates, and application deployments. Knowledge of secure coding practices and experience addressing application vulnerabilities. Experience upgrading runtimes, frameworks, libraries, dependencies, and operating systems. Familiarity with Docker and containerized application delivery. Working knowledge of OpenShift, Kubernetes, or comparable container platforms. Competence in Linux command-line tools and production troubleshooting. Experience with build tools such as Maven, Gradle, or npm. Strong Git and source control practices, including branching, pull requests, and code reviews. Skills in troubleshooting applications using SQL, logs, metrics, traces, stack traces, and monitoring tools. Understanding of observability concepts, structured logging, exception handling, health checks, and production support. Knowledge of transactions, retries, idempotency, rollback, resilience, and distributed system failure patterns. Soft skills include: Ability to independently manage a defined technical workstream from analysis through production deployment. Effective communication with stakeholders and collaboration with development, security, operations, architecture, and project management teams. Willingness and ability to rapidly learn new applications, tools, and technology stacks. Responsible use of AI coding tools to enhance software engineering and testing productivity. Nice-to-Have Skills Description: Experience with OpenShift or enterprise Kubernetes environments, demonstrating familiarity with container orchestration platforms. Experience modernizing applications deployed on WebSphere, WebLogic, or other legacy application servers, indicating skills in updating and migrating legacy systems. Experience upgrading Java, Spring, Spring Boot, Node.js, NPM, or other application runtime stacks, reflecting knowledge of maintaining and advancing software frameworks. Experience with Renovate, Dependabot, or similar automated dependency-update tools, showing capability in managing software dependencies efficiently. Experience with Software Composition Analysis, CVE evaluation, reachability analysis, or transitive-dependency remediation, indicating awareness of software security and vulnerability management. Experience with Liquibase, Flyway, or similar database migration tools, demonstrating proficiency in managing database schema changes. Experience with Ansible or other infrastructure and software automation tools, reflecting skills in automating IT operations. Experience in TypeScript, Node.js, and npm development, indicating programming expertise in these technologies. Experience with monitoring and observability tools such as Splunk, ELK, Grafana, Prometheus, OpenTelemetry, AppDynamics, or Dynatrace, showing ability to implement and utilize system monitoring solutions. Experience with test-data generation, test-data management, or masking of sensitive data, demonstrating knowledge of data privacy and testing practices. Experience with high-availability, hot-hot, active-active, multi-region, or cross-datacenter architectures, indicating familiarity

Job Description Title: Senior GeoSCADA Architect Location: REMOTE Duration: 06+ Months Position Summary : MUST HAVE: GeoScada and architecture experience, this is a SENIOR role We are seeking a talented Digital Solutions Architect to join our team and take charge of designing, developing, and deploying cutting-edge industrial automation software solutions. As a Digital Solutions Architect, you will be responsible for creating robust and scalable software architectures that meet the specific needs of our clients and drive innovation in the industrial automation space. The ideal candidate is familiar with systems integration using a variety of technologies. It is not expected that they will have experience with all of them. A motivated and self-driven candidate with a background in a variety of industrial automation technologies will be the best fit. Innovative technologies may emerge as the Client and AVEVA software portfolios continue to grow. What will you do? • Design and develop SCADA systems using various software suites, including Geo SCADA, AVEVA (Wonderware) System Platform, AVEVA (Wonderware) Historian, AVEVA (OSI) PI, Ignition SCADA, etc. • Configure and program SCADA software to monitor and control various industrial processes, such as manufacturing, energy, mining, and utilities. • Collaborate with clients, project managers, and other stakeholders to understand system requirements and develop solutions that align with their needs. • Lead a project team consisting of multiple engineering members of the Digital Solutions team, breaking down high level deliverables into work tasks and ensuring these deliverables meet quality standards. • Mentor and coach other engineering members for the Digital Solutions team. • Install, configure, and troubleshoot SCADA software and related components such as PLCs, ensuring proper integration with existing infrastructure. • Integrate SCADA systems with historians (e.g., AVEVA PI, AVEVA Historian) for data acquisition, analysis, and reporting purposes. • Develop custom scripts using scripting languages (e.g., .NET, JavaScript, Python, VBScript, etc.) to enhance system functionality and performance. • Conduct system testing and commissioning to ensure the accurate functioning of SCADA systems, addressing any issues or discrepancies that arise. • Perform system upgrades and modifications, adhering to industry best practices and ensuring minimal disruption to operations. • Provide technical support and guidance to end-users, troubleshooting system issues, and offering timely resolutions. • Participate in training to stay updated with the latest advancements and trends in SCADA technologies. What skills and capabilities will make you successful? • Proven experience as a SCADA Architect, with a focus on Geo SCADA, AVEVA System Platform, AVEVA PI, and Ignition SCADA. • Expertise with various SCADA architectures, data modeling, and integration with other PLC/RTU/SCADA systems. • Experience with identifying and implementing automation to improve user experience (UX). • Experience with system integration using a variety of data access, including OPC DA/UA, Modbus, DNP3, JSON, REST, and XML. • Ability to create SQL databases to capture data streams and custom SQL queries/logic. • Create or modify PLC programs using Structured Text, Function Block Diagrams, and Ladder Logic. • Experience with self-managing multiple project priorities and deliverables. • Collaboration with project management and an assigned project team of engineers. • Experience creating and modifying SCADA/HMI screens, alarms, and reports. Travel: Willingness to travel to customer sites as required. Travel is roughly expected to be around 25% but is dependent on customer and project needs.- Rarely will require travel and will know ahead of time, most travel will be shared with FTE's.

Job Description Job Description Contract to Hire - This position is not eligible for visa sponsorship, either now or in the future. Hybrid work model, mostly remote; on-site in Phoenix, AZ for design/whiteboard session as needed. Candidate must currently reside in Arizona - no relocation allowed. Candidate must attend an in-person interview. Candidate must provide AZ Driver's License as proof of residency. Candidate must use their own personal laptop with a Windows workstation for remote access. Candidate must work AZ time zone business hours. All work must be completed in the United States. Our direct client has an opening for a Software QA Automation Lead # 8377. This position is for 6 months contract to hire and will be worked in a hybrid schedule on-site in Phoenix, AZ as needed - however mostly remote. All work must be completed in the United States. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Rate Range is $50-63/hr W2 or $55-67/hr Corp to Corp - Direct with candidate ONLY - No Subcontractors Allowed Below is the job description - Resumes due ASAP - Resumes Due by Monday, October 13 Required Skills: 3+ years in a technical leadership or lead automation engineer role. MUST have Leadership experience Behavior-Driven Development (BDD) using Gherkin or Cucumber JavaScript, PowerShell, Python, Bash, or Ruby experience Experience with Spring Framework Preferred Skills: Grafana experience Container Architecture: Docker or Kubernetes Experience with Azure, AWS, or GCP Maven AI experience Jira Confluence Description: Lead the quality platform behind mission-critical software at ASRS. Partner directly with architects to fix today's framework pain, modernize our stack, and hard-wire a true shift-left culture-while piloting AI-assisted testing to boost coverage, speed, and confidence. What You'll Do Own the quality platform: Set strategy, architecture, and standards for automation-Java today, with pragmatic evolution to modern UI/API automation where it improves reliability. Embed quality early: Drive PR-level tests, contract/API checks, and CI/CD quality gates for rapid, trusted developer feedback. Apply AI where it counts: Use AI/LLM-assisted test generation, self-healing locators, flake triage, and test-impact analysis to reduce toil and raise signal. Simplify the SDLC: With DevOps, streamline pipelines, test data management, environment provisioning, and release guardrails for faster flow. Solve hard problems with architects: Tackle cross-cutting issues (auth, data, performance, flakiness) and retire tech debt with durable solutions. Build the right tests: Expand reliable web/UI, API, and integration coverage; harden environments and test data. Coach and elevate: Mentor QA engineers, review automation code, and set standards for readability, reliability, and maintainability. Measure what matters: Stand up live dashboards (coverage, pass/fail, flakiness, MTTR) to inform decisions and continuously raise the bar. Own root cause: Lead deep-dive debugging across test and prod, driving prevention-not just fixes. Your Toolbox (What We Use & Value) Languages/Frameworks: Java, JUnit, Maven; BDD with Cucumber/Gherkin. Automation: Selenium WebDriver (today); informed experience with Playwright (Java/TypeScript) a plus. CI/CD & SCM: Jenkins, GitHub Actions; GitHub for collaboration. Observability & Metrics: Grafana (quality and performance dashboards). Backend/Platform context: Spring Boot/Spring Security; Oracle DB; FileNet/content systems. Scripting: PowerShell or similar for utilities. Quality practices: Testing pyramid, risk-based design, code reviews, and environment parity. Where We're Headed (And Where You'll Lead) GitHub-native CI/CD: Standardize on GitHub pipelines for frequent, automated deployments-define branch strategy, environment promotions, and reusable workflows that make shipping safe by default. Reliable testing for high velocity: Build a strategy that scales with cadence-PR checks, contract/API tests, fast UI smoke suites, test-impact analysis, deterministic data & ephemeral envs, parallelization, and rigorous flake control. AI-assisted, data-driven quality: Apply LLM-assisted test generation/self-healing and enforce quality gates backed by live dashboards (coverage, flakiness, MTTR, DORA) to boost signal and confidence. Framework evolution (tool-agnostic): Evaluate and pilot modern UI/API automation options against clear criteria (reliability, speed, parity, maintainability, ROI) and recommend phased adoption that protects delivery. What You Bring 10+ years in QA/automation with 5+ years leading/architecting frameworks. Proven success embedding automated quality gates into CI/CD for high-velocity releases. Track record mentoring engineers and raising the bar on code quality and test design. Comfort collaborating with architects and senior engineers on systemic quality problems. Nice-To-Have Experience introducing AI tooling (e.g., Copilot, test-gen, self-healing) into real teams. Performance, security, or contract-testing exposure. Work Setup & Logistics Hybrid: Mostly remote; design/whiteboard sessions in Phoenix as needed. Equipment: Personal laptop required; Windows workstation provided for remote access. Eligibility: Must be AZ-local and able to work for any U.S. employer (no sponsorship).

Job Description Job Description Role: Salesforce Release Manager(23947-1) Duration: 6-12 Months Contract Location: Remote Job Level: Delivery Manager / Lead II - Enterprise Solutions Experience: 10-12 Years IT Experience, including 4 Years in Salesforce Release Role Summary: We are seeking an experienced Salesforce Release Manager to lead the planning, governance, coordination, and deployment of Salesforce releases across multiple environments. The ideal candidate will oversee end-to-end release management activities, ensure compliance with enterprise release processes, coordinate with cross-functional teams, and drive successful deployments with minimal business disruption. This role requires strong expertise in Salesforce platforms, DevOps practices, CI/CD pipelines, change management, and stakeholder communication. Key Responsibilities: Own and manage the Salesforce release calendar, roadmap, and deployment schedules. Coordinate releases across Salesforce Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and custom Salesforce applications. Collaborate with Product Owners, Architects, Developers, QA teams, Business Stakeholders, and DevOps engineers to ensure release readiness. Manage deployments across Development, SIT, UAT, Staging, and Production environments. Conduct release planning, impact analysis, dependency management, and risk assessments. Ensure adherence to enterprise release governance, compliance, and change management processes. Facilitate CAB (Change Advisory Board) reviews, approvals, and release communications. Coordinate code freezes, deployment windows, rollback strategies, and post-release validation activities. Manage release dependencies involving Salesforce integrations, middleware, and third-party systems. Monitor deployment success metrics, release KPIs, incidents, and continuous improvement initiatives. Lead emergency, patch, and hotfix deployments when necessary. Provide regular release status updates, risk mitigation plans, and executive-level reporting. Partner with support and operations teams to ensure smooth production transitions and post-deployment support. Drive DevOps adoption and release automation initiatives to improve deployment efficiency and quality. Required Technical Skills Salesforce Platform- Salesforce Sales Cloud, Salesforce Service Cloud, Salesforce Experience Cloud, Salesforce Marketing Cloud, Salesforce Security & Data Management Salesforce Deployment Best Practices Salesforce Metadata Management Salesforce Environment Strategy Release Management & DevOps Salesforce Release Management CI/CD Pipeline Management Change & Configuration Management Release Governance Environment Management Risk & Dependency Management Incident & Problem Management Deployment Automation Agile Release Planning Tools & Technologies Copado (Preferred) Gearset AutoRABIT Salesforce DevOps Center Salesforce DX (SFDX) GitHub, GitLab, Bitbucket Jenkins Azure DevOps Jira ServiceNow Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 8 years of overall IT experience. 4 years of Salesforce Release Management, DevOps, or deployment management experience. Proven experience managing large-scale, multi-team Salesforce release programs. Strong understanding of Salesforce metadata deployment and environment management strategies. Experience implementing and supporting CI/CD pipelines for Salesforce. Strong understanding of Agile, Scrum, and DevOps methodologies. Experience working with enterprise change management and release governance frameworks. Strong analytical, troubleshooting, and risk management skills. Preferred Qualifications Salesforce Administrator Certification Salesforce Platform App Builder Certification Salesforce DevOps Center Experience Copado Fundamentals or Copado Release Management Certification PMP, SAFe Agilist, Scrum Master, or ITIL Certif

Job Description Job Description Client Name Everest Insurance (Please do not post client name anywhere) Position Title Lead QA Automation Engineer (Playwright) Domain EXP (Finance/Insurance Domain) Location 100 corporate center dr, Warren, NJ 07059, United States (3 Day Onsite) Employment Type C2C Rate $70/hr. All inclusive Indent ID SF_OP_202853-4-4 Job ID 176719 Job Description Role Overview We are looking for an experienced Lead QA Automation Engineer with strong hands-on expertise in Playwright to lead the quality engineering practice across our web applications and services. The ideal candidate has 8 years of progressive QA experience - including automation framework design, test strategy, CI/CD-integrated testing, and team leadership. You will define the quality roadmap, mentor a team of QA engineers, and drive a shift-left, automation-first culture across the engineering organization. Position Details Job Title: Lead QA Automation Engineer (Playwright) Experience: 8 years (with 2 years in a lead/senior role) Employment Type: Full-time Department: Quality Engineering / Engineering Reports To: QA Manager / Director of Engineering Key Responsibilities Test Strategy & Leadership Define and own the end-to-end test strategy across functional, regression, integration, API, performance, and accessibility testing. Establish quality gates, KPIs, and SLAs for releases; report quality metrics to engineering and product leadership. Drive a shift-left quality culture: in-sprint automation, risk-based testing, and early defect prevention. Evaluate and select tools, frameworks, and processes that improve test efficiency and coverage. Automation Framework & Engineering Architect, build, and maintain a scalable, reusable Playwright-based test automation framework (TypeScript/JavaScript). Design Page Object Model (POM) / Screenplay / fixture-based patterns for maintainability and reuse. Implement parallel, cross-browser, and cross-device test execution (Chromium, Firefox, WebKit, mobile emulation). Build API test automation using Playwright API testing, REST Assured, Supertest, or Postman/Newman. Develop and maintain data-driven, BDD (Cucumber/Gherkin), and tag-based test execution strategies. Implement visual regression, accessibility, and contract testing where appropriate. CI/CD & DevOps Integration Integrate automated tests into CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or CircleCI. Configure test environments, containerized test execution (Docker), and cloud test grids (BrowserStack, Sauce Labs, LambdaTest). Implement intelligent retries, flaky test detection, test sharding, and trace/video/screenshot capture for diagnostics. Drive reporting and observability with Allure, Playwright HTML reporter, ReportPortal, or custom dashboards. Team Leadership & Mentorship Lead, mentor, and grow a team of QA and SDET engineers; conduct interviews and hire top quality engineering talent. Perform code reviews of automation scripts, enforce standards, and continuously improve quality of test code. Coach manual testers on transitioning to automation and engineering best practices. Champion Agile/Scrum ceremonies - sprint planning, refinement, retros - from the QA perspective. Collaboration & Delivery Partner with developers, product managers, designers, and DevOps to ensure quality is owned across the team. Participate in design and architecture reviews to identify testability concerns early. Collaborate with performance, security, and SRE teams for non-functional testing (JMeter, k6, Gatling, OWASP ZAP). Drive root cause analysis (RCA) for production incidents and feed learnings back into test coverage. Required Skills & Qualifications Core QA & Automation 8 years of total QA experience with at least 5 years in test automation. 3 years of hands-on, production-grade experience with Playwright (TypeScript preferred). Proven ability to design and scale automation frameworks from scratch. Strong programming skills in TypeScript/JavaScript ; familiarity with Java, Python, or C# is a plus. Deep understanding of QA methodologies - STLC, Agile testing quadrants, risk-based testing, exploratory testing. Playwright Expertise Expert with Playwright Test Runner, fixtures, projects, parallelization, and worker management. Strong command of auto-waiting, locators, role-based selectors, and resilient test design. Experience with Playwright API testing, network mocking, request interception, and route handling. Hands-on with Playwright tracing, codegen, debugging, and CI integration. Experience with component testing using Playwright Experimental Component Testing or similar. Testing Types & Tools API testing with Playwright APIRequest, REST Assured, Postman/Newman, or Supertest. BDD frameworks: Cucumber, Playwright-BDD, SpecFlow, or Behave. Performance/load testing exposure: JMeter, k6, Gatling, or Locust. Accessibility testing: axe-core, Playwright accessibility checks, Lighthouse CI. Visual regression: Playwright snapshots, Percy, Applitools, or Chromatic. Mobile testing exposure: Playwright mobile emulation, Appium, or BrowserStack App Live (nice to have). CI/CD, Cloud & DevOps Hands-on with GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or CircleCI for test pipelines. Experience containerizing tests with Docker; familiarity with Kubernetes is a plus. Familiarity with AWS, Azure, or GCP for test infrastructure and environments. Hands-on with cloud-based test grids: BrowserStack, Sauce Labs, LambdaTest. Quality Engineering Practices Strong grasp of test pyramid, contract testing (Pact), and shift-left/shift-right testing. Experience with test data management, synthetic data generation, and environment management. Familiarity with feature flagging and progressive delivery (LaunchDarkly, Unleash) for safe rollouts. Solid understanding of SDLC, defect lifecycle, and tools like Jira, Xray, Zephyr, TestRail, or qTest. Web & API Fundamentals Strong understanding of HTML, CSS, DOM, JavaScript runtime, and browser internals. Solid grasp of HTTP, REST, GraphQL, WebSockets, authentication (OAuth 2.0, JWT, SSO). Comfortable reading and writing SQL; experience validating data in relational and NoSQL databases. Familiarity with microservices, event-driven architectures, and message brokers (Kafka, RabbitMQ). Leadership & Soft Skills Proven experience leading QA/SDET teams and owning quality for multiple products or modules. Excellent communication, stakeholder management, and reporting skills. Strong analytical, troubleshooting, and root-cause analysis abilities. Ability to balance speed and quality, and to make pragmatic, data-driven trade-offs. Passion for quality, continuous improvement, and engineering excellence. Nice to Have Experience with security testing (OWASP ZAP, Burp Suite) and basic threat modeling. Exposure to AI-assisted testing tools, self-healing tests, or LLM-based test generation. Contributions to open-source QA/automation projects or a strong technical blog. Experience in regulated domains - Insurance, BFSI, or Healthcare. Relevant certifications: ISTQB Advanced, Certified Agile Tester, AWS/Azure certifications. All candidate submissions should come with valid documents and ID proof. Submission Matrix: Name of the candidate Contact# Email ID Location Availability Visa Rate Supplier Name Particular Details LinkedIn profile Link Ptalent Applicant id Job# Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months Skill Matrix: Skill Years of experience

Job Description Job Description Senior Consultant AI & Automation Advisory Data Protection Services (DPS) Team: Solutions AI & Automation Advisory Reports To: Lead Consultant or Senior Manager, AI & Automation Advisory Role OverviewThe Senior Consultant AI & Automation Advisory is a skilled individual contributor who owns defined delivery tasks and workstream components within WWT's AI & Automation Advisory practice, supporting engagements such as the Client's Data Protection Services (DPS) AI Efficiency Assessment. Positioned below the Lead Consultant, the Senior Consultant brings hands-on depth across AI opportunity assessment, process and workflow analysis, and data protection domain knowledge, executes high-quality client deliverables with growing independence, and begins developing trusted client relationships at the working level. The Senior Consultant is the engine of AI advisory delivery leading current-state discovery across data protection pillars and functions, identifying and cataloguing AI-enabled use cases, supporting feasibility and target-state operating model design, and producing the analytical outputs that underpin client recommendations. They work under the direction of a Lead Consultant, Principal, or Senior Manager, and are expected to grow steadily toward owning full workstreams and contributing to pre-sales activities. What is Expected Engagement Delivery Execute assigned delivery tasks and workstream components within AI efficiency assessment engagements with accountability for quality, accuracy, and on-time completion Lead technical components of the assessment: conduct current-state discovery across Data Protection Fleet pillars (Cryptography and Secrets, Data Leakage Prevention, Data Asset Protection) and horizontal functions (Policy and Architecture, Fleet Enablement, Development, Engineering), document findings, and identify opportunity themes with guidance from the engagement lead Perform hands-on AI opportunity work: use-case identification, process and workflow mapping, agent design input (guided, pillar-specific, and cross-pillar orchestration agents), feasibility scoring, and prioritization support Produce client-ready deliverables current-state assessment packs, AI opportunity inventories, use-case catalogues, target-state operating model inputs, roadmap inputs, and executive summaries that meet WWT's professional services quality standards Facilitate discovery sessions, stakeholder interviews, and working-level workshops with DPS pillar and function stakeholders; synthesize findings into structured outputs for Lead Consultant review Maintain the DPS AI Initiatives Tracker workbook as the engagement's system of record, including entries in the Innovation Backlog, AI Initiatives Register, AI Risk and Controls, and AI Benefits Tracking sheets, and support classification of implementation status and validation of Jira AI labeling Client Engagement Build working-level relationships with DPS pillar and function stakeholders, technology teams, and project sponsors; establish credibility as a reliable, knowledgeable AI advisory resource throughout the engagement Communicate findings clearly and accurately to client counterparts; begin developing the ability to present findings to project sponsors and working-group leadership Contribute to client status reporting, meeting facilitation, and action item tracking under the direction of the engagement lead Pursuit & Practice Support Support pre-sales and pursuit activities: contribute to SOW scoping, effort estimation, and proposal content for AI and automation advisory engagements under the direction of the Lead Consultant or Senior Manager Contribute to practice development through reusable delivery assets, AI opportunity assessment templates, use-case catalogues, and technical write-ups Begin developing commercial awareness: understand engagement economics, utilization expectations, and how delivery quality connects to client satisfaction and account growth Growth & Development Actively build depth across AI/automation domains, agentic architectures, and data protection frameworks through project work, certifications, and self-directed learning Seek and apply feedback from Lead Consultants and Senior Managers; demonstrate consistent growth in delivery independence, communication quality, and domain breadth Begin supporting and coaching more junior colleagues on technical tasks and WWT delivery standards QualificationsRequired 4 8 years of experience in AI/automation strategy, technology consulting, or process engineering with a clear focus on AI-enabled efficiency, agentic solutions, or workflow automation; experience in cybersecurity, data protection, or regulated enterprise environments strongly preferred Hands-on experience across AI advisory domains and platforms, including one or more of: AI Opportunity Assessment current-state process/workflow discovery, use-case identification, feasibility and control-readiness assessment, prioritization frameworks, and business case development Agent & Automation Design enterprise agent and productivity platforms (M365 Copilot, Copilot Studio, Agent Builder, Power Automate AI, Power Citizen), developer coding assistants (GitHub Copilot, Claude Code, Amp), and orchestration/human -in-the-loop design AI Governance & Controls responsible AI principles, model and agent lifecycle controls, risk and controls tracking, data sensitivity classification, and approval/audit alignment Data Protection & Cybersecurity Domain exposure to cryptography and secrets management, data leakage prevention (DLP), data asset protection/DSAR workflows, or security policy and architecture, particularly within regulated or financial services environments Initiative Tracking & Reporting Platforms experience with workbook- or Jira-based initiative tracking, KPI/benefits tracking, and executive dashboard reporting Working knowledge of AI and data protection frameworks: responsible/trustworthy AI principles, NIST AI RMF, enterprise SDLC and engineering standards, and data protection concepts spanning cryptography, secrets management, DLP, and data asset protection Understanding of core AI advisory concepts: AI category taxonomies (Automate, Assist, Augment, Generate, Analyze), lifecycle stages (Idea/Concept through Deployed/Scaled), human-in-the-loop design, feasibility vs. desirability vs. viability, and control readiness in regulated environments Demonstrated consulting delivery competencies, including: Structured discovery: ability to conduct current-state discovery interviews, gather documentation and workbook/Jira evidence, manage information collection across pillars and functions, and synthesize findings into clear, structured outputs Opportunity and gap analysis: experience assessing operating-model maturity against AI adoption criteria, documenting opportunity and control gaps, and prioritizing findings by business impact and feasibility Technical communication: ability to translate AI opportunity and data protection findings into clear written deliverables and verbal summaries for technical and working-level client audiences Workshop facilitation: participate in and contribute to discovery sessions, opportunity-identification workshops, and validation sessions; begin developing the ability to facilitate independently Deliverable quality: consistent track record of producing accurate, well-structured client deliverables assessment packs, use-case catalogues, workbook updates, and roadmap inputs on time and to standard Engagement collaboration: work effectively within project teams; communicate status, risks, and issues proactively to the engagement lead; adapt to shifting priorities and client needs Preferred Bachelor's degree in Computer Science, Information Security, Data Science, Business, or a related field Certifications demonstrating AI, automation, or security knowledge: Microsoft Certified: Copilot or related AI credentials, CISSP, CISM, CISA, PMP, or equivalent Experience in enterprise environments across financial services, healthcare, or other regulated sectors particularly where AI adoption intersects with cybersecurity, data protection, or regulatory scrutiny Prior consulting experience at a professional services firm, systems integrator, or equivalent client-facing advisory role Familiarity with pre-sales processes: SOW development, effort estimation, or proposal support for AI/automation advisory engagements Key Competencies AI/automation domain depth and hands-on opportunity assessment execution Delivery quality and individual accountability Clear technical communication written and verbal Collaborative team contributor with a growth orientation Success in this role means executing AI efficiency assessment deliverables with high quality and growing independence, building credibility with client teams through consistent performance, expanding domain depth across AI advisory and data protection, and contributing to a practice that clients trust and return to while building toward the skills and experience required to step into a Lead Consultant role.

Job Description Job Description Hybrid onsite at Dallas, TX, 75019 / Tampa, FL, 33647 Contract to Hire Screening Questions: 1. How do you handle dynamic or changing elements (e.g., dynamic IDs, stale elements) in Selenium? 2. How do you structure TestNG/JUnit suites (grouping, parallel execution, testng.xml or JUnit tags) for regression, smoke, and feature-level runs? 3. How are your automated tests integrated into the CI/CD pipeline (e.g., Jenkins, CloudBees, Bitbucket pipelines)? Describe the end to end flow from commit to test execution. 4. In your framework, how do you organize Java packages and classes (page objects, utilities, runners, POJOs, etc.)? 5. Explain how you handle exceptions in your automation code. Do you use custom exceptions? Give an example. 6. Describe how you use the database in your testing: what kinds of validations or setups you perform via SQL during UI/API tests. Role Summary The Sr. SDET is responsible for delivering high-quality, compliant, and scalable software solutions through Quality Engineering, Test Automation, Agile Delivery, and Software Development Governance. This role combines Software Engineering, Automation Framework Development, Test Strategy Support, and Quality Engineering Practices to ensure quality is built into every stage of the software development lifecycle. Primary Responsibilities Contribute to Quality Engineering initiatives and apply Automation-First, Shift-Left, and Quality-by-Design practices. Support the development of Test Strategies, Test Approaches, and Risk-Based Testing plans for applications, APIs, services, and data platforms. Automate UI, API, backend, database validation, and data quality verification scenarios, and integrate automated tests into CI/CD pipelines. Build reusable, maintainable, and scalable Java-based automation solutions using sound software engineering principles and automation design patterns. Contribute to quality improvements through test coverage analysis, defect prevention, and continuous improvement initiatives. Diagnose and resolve automation issues through debugging, refactoring, test suite optimization, flaky test remediation, synchronization improvements, and locator strategy enhancements. Participate in Agile ceremonies using Jira and collaborate with Product, Development, Architecture, and DevOps teams as needed to improve quality, testability, and delivery efficiency. Follow Software Development Standards, Code Review Requirements, Release Governance Processes, and maintain Requirements Traceability, Test Evidence, and Audit-Ready Documentation. Share knowledge and support adoption of Quality Engineering, Automation Standards, and engineering excellence. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline. 6 years of experience in SDET, Test Automation, Software Quality Assurance, or Quality Engineering roles. Core Skills & Strengths Core Technical Skills Strong Core Java programming skills, including Object-Oriented Programming (OOP), Design Patterns, Collections, Exception Handling, Concurrency, Dependency Injection, and Test Framework Architecture. Hands-on experience with Selenium WebDriver, including Page Object Model (POM), advanced XPath and CSS locator strategies, synchronization and wait strategies, automation stability, and flaky test reduction. Strong API Testing experience using REST Assured, Karate, Postman, or similar tools. Experience with SQL, database validation, and backend system testing. Experience with TestNG, JUnit, Maven, Git, and modern software development practices. Experience with CI/CD pipelines using Jenkins and Bitbucket. Experience designing, developing, and maintaining automation frameworks for enterprise applications. Understanding of microservices architecture, service integrations, and distributed system testing. Strong analytical, troubleshooting, and problem-solving skills, with the ability to share knowledge with team members and contribute to engineering excellence. Quality, Governance & Agile Practices OpenText AQM for Test Case Management, Requirements Traceability, Test Execution, and Test Evidence Management. Test Approaches, Traceability Matrices, Post-Test Reports, and other required testing deliverables. Strong understanding of Agile Methodologies, Scrum Practices, SDLC, and Quality Engineering Principles. Experience working within cross-functional Agile teams delivering high-quality software solutions. Audit Readiness, Documentation Standards, Evidence Management, and Governance Compliance. Nice to Have Skills Experience using AI-Assisted Development and Testing Tools. Experience in Financial Services, Capital Markets, Insurance, or Wealth Management domains. EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Job Description Job Description Marathon TS is looking to hire an onsite Lead Test Automation Engineer to support a Federal Agency in Washington DC. The individual will be responsible for developing and maintaining automated test suites using Playwright and BDD methodologies, while also performing manual testing, regression testing, and supporting User Acceptance Testing (UAT). The role requires close collaboration with business stakeholders, product owners, developers, business analysts, and architects to ensure high-quality software releases. All candidates should have the following experience: 5-8 years of software testing and quality assurance experience. Hands-on experience with Playwright test automation. Experience with BDD frameworks and Gherkin scenarios. Experience with XRay, Jira, Azure DevOps, and Visual Studio. Experience creating automated UI, functional, and regression tests. Strong understanding of Agile delivery methodologies. Excellent analytical, problem-solving, and communication skills. Ability to work effectively with business stakeholders and cross-functional development teams. Key Responsibilities Develop and maintain automated test suites using Playwright. Create BDD-based test scenarios and automated regression tests. Execute automated, manual, functional, integration, and smoke testing as needed. Manage test cases, test execution, and traceability using XRay. Support QA, SIT, and UAT activities across project releases. Identify, document, and track defects through resolution. Participate in Agile ceremonies and requirements reviews. Collaborate with business stakeholders and the development team to validate requirements and ensure product quality. Project Context RASR Next is a cloud native modernization of the legacy RASR platform, built on Microsoft Azure, supporting regulatory business processes with high standards for security, scalability, and compliance. Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").

Job Description Job Description Sr. QA Automation Engineer - Irving, TX - Contract - $61-71 Per HRDescription Join our team to modernize technology platforms by designing and executing automated quality strategies for cloud-based solutions. This hybrid position involves collaborating with various teams to improve testability and maintain platform reliability. The role requires expertise in automation frameworks and performance analysis tools. Key Responsibilities Identify risks and contribute to user story definition and acceptance criteria. Define, review, and execute test strategies, plans, and cases for functional and non-functional requirements. Design and build scalable automation frameworks using industry-standard tools. Automate application workflows and conduct performance analysis using relevant tools. Integrate automated tests into CI/CD pipelines and maintain quality reporting. Qualifications 7 years of professional experience in QA automation. 1 year of hands-on testing experience with databases, server-side technologies, and cloud services. 6 years of experience in building and maintaining automation frameworks for various testing types. Strong programming skills in a major programming language with experience in API automation and performance testing frameworks. Experience in defining and reviewing test plans, test cases, and quality strategies. Core Technologies Appium UIAutomator2 Selenium WebDriver Cypress Karate REST Assured JMeter Gatling k6 Jenkins CI/CD Contact Authorization By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here ( -policy). Benefits Learn more about our benefits offerings here ( -perks) Onboarding Expectations Learn more about our Onboarding Process here () EEO Statement Learn more about our EEO policy here ( -statement)

Amazon Web Services, Inc. seeks a Sr. Delivery Consultant to lead mission-critical cloud programs for national security customers. You will design and implement secure, scalable AWS architectures, guide migrations, and coordinate delivery across engineering, security, and customer stakeholders. Responsibilities include assessing environments, defining roadmaps, automating deployments, and ensuring compliance with strict security requirements. You will mentor teams, produce high-quality technical artifacts, and drive continuous improvement while operating in a fast-paced, customer-obsessed culture. Responsibilities Lead end-to-end delivery of complex AWS cloud solutions for national security customers Design secure, scalable AWS architectures aligned with mission and compliance requirements Assess existing environments and define cloud adoption and migration roadmaps Implement automation, CI/CD, and Infrastructure as Code for reliable deployments Collaborate with engineering, security, and customer stakeholders to remove delivery blockers Ensure adherence to stringent security, regulatory, and operational standards Produce clear technical documentation, designs, and runbooks Mentor customer and internal teams on AWS best practices and operational excellence Identify risks and drive mitigation plans to keep projects on track Continuously improve delivery methodologies and contribute to reusable accelerators Required Skills AWS architecture and services Cloud security and compliance Enterprise migration strategies CI/CD pipelines Infrastructure as Code (e.g., Cloud Formation, Terraform) Networking and identity management Stakeholder and executive communication Technical project delivery Solution design and documentation Risk assessment and mitigation