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Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location : Cary, NC (Onsite/Hybrid from Day 1)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><p>We are seeking an experienced <b>Data Scientist</b> to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 85786- 97273</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p></p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in a technical field, or equivalent practical experience.
<br>
</li><li>2 years of experience in program management.</li>
<li>Experience with data center infrastructure like power, networking, and cooling.</li>
<li>Experience with AutoCAD or Revit.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience managing cross-functional or cross-team projects.</li>
<li>Experience with colocation capacity planning, including the use and automation of planning and optimization tools.</li>
<li>Experience with new product introduction (NPI) process and product life cycle (PLC) as related to hardware products for machine learning and high-performance computing.</li>
<li>Excellent program management skills, with the ability to coordinate deployments and roadmaps across multiple stakeholders.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
A problem isn&rsquo;t truly solved until it&rsquo;s solved for all. That&rsquo;s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you&rsquo;ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You&rsquo;ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
</p><p>In this role, you will help the team plan the future of Google&rsquo;s ML and accelerator deployments. As the Technical Program Manager, you will help with new product enablement focused on the deployability of new products and the server floor designs required to facilitate them.</p><p>
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Support the delivery of projects, managing data center constraints (e.g., power, space, cooling, operations, and network) in colocation data center deployments.</li>
<li>Create and manage physical layouts and standards, including the deployment impact and feasibility of NPIs. Define and manage tooling requirements for planning and delivery.</li>
<li>Own and support relationships between cross-functional teams, track deployment workflows with partner teams, and raise issues to ensure on-time follow-through.</li>
<li>Influence the development of new products (NPI) and colocation server floor design decisions, focused particularly on upcoming fleetwide transitions in the ML and accelerators space.
</li><li>Drive the development of new tools and decision-making frameworks for optimizing fleet life-cycle.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Program Manager II, Capacity Constraints Management, Cloud Infrastructure

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Data Engineer<p></p><p><b>
Job Description Summary</b></p>
Key Objectives:<br>
<br>
Supports the development, optimization, and maintenance of Cushman &amp; Wakefield&rsquo;s commercial real estate (CRE) forecasting infrastructure across the Americas. This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems.<br>
<br>
Operate as a self-sufficient data practitioner, capable of independently delivering data solutions or working side-by-side with technology teams to ensure alignment and production readiness of QIG capabilities on an iterative basis.<br>
<br>
Works closely with senior economists, analytics leads, and technical teams to deliver high-quality, production-ready data solutions that underpin the firm&rsquo;s House View and related analytical products.<p><b>
Job Description</b></p><p><b>
Time Series Data Engineering, Maintenance &amp; Automation (40%)</b></p><ul><li>Prototype, build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in forecasting models.</li><li>Ensure data integrity and consistency across all QIG&rsquo;s inputs and outputs through rigorous validation and quality control procedures. Design and enforce structured data interfaces and integration patterns to ensure consistent ingestion and interoperability across internal and external data sources.</li><li>Work closely with cross-functional partners to define, refine, and validate data quality rules, using both automated checks and hands-on analysis to ensure outputs meet analytical expectations.</li><li>Performs exploratory data analysis and profiling on raw and processed datasets to validate pipeline outputs and identify anomalies or inconsistencies.</li><li>Partner with PRI (Property Research &amp; Intelligence), TDS (Technology Data Solutions), GIS (Geographic Information System) and forecasting team to ensure governance of time series data, as revisions to geography-based competitive sets can occur.</li><li>Collaborate with PRI, TDS/GIS and other QIG teams to integrate internal and external data sources into infrastructure deployed by QIG teams.</li><li>Ensure Global Think Tank, Americas Research and other stakeholders have access to relevant time series (and forecast) data via various tools and capabilities in coordination with QIG leads. Work iteratively with partners to refine data outputs, validate usability, and adjust underlying pipelines or transformations as needed to meet evolving analytical requirements.</li></ul><p></p><p><b>
Technical Support (40%)</b></p><ul><li>Create and maintain documentation of any synthetic data model architecture, data flows, and diagnostic procedures. Have strong grasp of field-level data lineage and traceability to support transparency, reproducibility, and downstream analytical confidence.</li><li>Partner with Head of Data Science &amp; Geospatial Analytics to build state-of-the-art, novel real estate dataset, with additional relevant data geospatially integrated (e.g., demographics, socioeconomic data, zoning or flood maps, climate or walk score information); produce detailed specifications that guide engineering implementation.</li><li>Develop internal documentation and process automation, and serve as expert on the integration, application and processing of internal data, 3rd party vendor data and other public data (e.g., Census TIGER, IPUMS) as appropriate with QIG leads.</li><li>Advise, integrate and execute normalization methods with internal and external partners, co-developing approaches with technology teams when necessary and validating outputs through hands-on implementation and analysis.</li><li>Identify new data use cases for proprietary data, ensure appropriate cleaning and normalization techniques so data can be used in statistical, econometric and other commercial analytics applications.</li></ul><p></p><p><b>
Infrastructure Enhancement &amp; Collaboration (20%)</b></p><ul><li>Contribute to evolution of the QIG data infrastructure by identifying opportunities for efficiency gains, automation, and scalability.</li><li>Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into data workflows under guidance from senior team members through hands-on experimentation, prototyping, or coordination with TDS as needed.</li><li>Coordinate with TDS and PRI on internal data and technology initiatives; contributing hands-on development or feedback where appropriate to scale, optimize, and productionize solutions in support of QIG capabilities.</li><li>Serve as the key liaison for all external data dependencies; monitor the evolution of 3rd party data products and capabilities, assess their fit against QIG analytical requirements, and produce intake specifications when new sources are approved for integration. As needed, partner with technology teams to evaluate and integrate internally managed data sources.</li><li>When/where appropriate, maintain a living requirements register and change log that tracks open data engineering requests, their status in the TDS backlog, acceptance criteria, and QIG sign-off outcomes.</li></ul><p></p><p><b>
Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Engineering, Data Science, Computer Science, Statistics, or a related technical field. Advanced degree a plus.</li><li>5-7 years of experience in data engineering or a hybrid analytical/engineering role, preferably in a forecasting or analytics/production environment. Real estate experience a plus.</li><li>Strong proficiency in Python/R, SQL, Databricks, Delta Lake and data pipeline frameworks (e.g., medallion architecture).</li><li>Experience with time series data, econometric / data science modeling workflows, and automation tools.</li><li>Familiarity with cloud platforms (e.g., Azure, AWS) and version control systems.</li><li>Demonstrated ability to operate in a collaborative, cross-functional environment, contributing both independently and alongside engineering and analytical teams to deliver data solutions.</li><li>Comfort working in iterative development settings, balancing hands-on execution with stakeholder collaboration and continuous feedback.</li><li>Strong attention to detail and commitment to data quality.</li><li>Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when appropriate).</li><li>Excellent documentation and communication skills for technical audiences. Ability to participate meaningfully in engineering discussions.</li><li>Exposure to geospatial data concepts and CRE or macroeconomic datasets.</li><li>Experience working with agile/scrum delivery models in a data and analytics context.</li></ul><br>
<p></p>
Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.<br>
<p></p>
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate&rsquo;s experience and qualifications.<br>
<p></p>
The company will not pay less than minimum wage for this role.<br>
<p></p>
The compensation for the position is: $ 114,750.00 - $135,000.00<p></p>
Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.<p></p><p>
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at <b>1-888-365-5406</b> or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.</p><p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Data Engineer

Varonis Systems

<p></p><div><div><p><b>Job Description</b></p><div></div><div>
Technical Account Managers are the primary contact for Varonis customers and the first line of defense for data. All Varonis employees are Customer Success and Technical Account Managers are the tip of the spear. Technical Account Managers provide onboarding and proactive on-going value and support to Varonis customers, responsible for driving measurable security outcomes across cloud data, modern data platforms, and the AI systems that depend on them. TAMs are accountable for translating Varonis capabilities into reduced risk, controlled access, and safe AI adoption across customer environments. To be a successful Technical Account Manager you must be a motivated self-starter, be committed to on-going self-development and education and possess strong technical acumen and customer service skills.</div><p><b>
Responsibilities</b></p><ul><li>
Onboard Customers to Varonis platforms and deliver on-going value and support</li><li>
Lead customers through discovery, remediation, alerting, and governance of sensitive data to ensure all data is protected from insider threats, cyber-attacks, and policy violations</li><li>
Help customers identify and mitigate risks related to AI systems, including copilots, LLMs, and shadow AI usage</li><li>
Drive measurable reduction in data exposure across cloud, SaaS, and data platforms
</li><li>Ensure Customer success through frequent proactive health checks, hands-on product usage and training, and development and sharing of best practices</li><li>
Prepare and deliver quarterly business reviews, data risk assessments, and AI risk posture discussions</li><li>
Alongside Sales, identify and champion upsell opportunities</li><li>
Learn new Varonis products as they are developed and released and develop expertise in your client&rsquo;s unique security ecosystem(s)</li><li>
Help Account Managers and Sales Engineers identify renewal risk and collaborate to remediate and ensure successful renewals
</li><li>Serve as primary technical contact and augment our support and engineering teams</li><li>
Advocate on behalf of customers with appropriate internal Varonis teams to ensure customer feedback is adequately documented and assessed by appropriate parties
</li><li>Engage with customers at all levels of their organization, including but not limited to: Infrastructure, AI/ML, Cloud, Privacy &amp; Compliance, Security, Incident Response, and the C-suite.</li><li>
Identify, research, maintain control, and remediate customers&rsquo; technical issues in a timely manner. Follow up promptly with recommendations and action plans and engage appropriate internal teams as required.
</li><li>Escalate customer issues to management when appropriate
</li><li>Create knowledge base content to capture new learning for customer and internal reuse.
</li></ul><p><b>Requirements</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent experience</li><li>
4+ Years working in a customer facing role at a Cloud Security, Cyber Security, or Data Security &amp; Privacy company
</li><li>Experience working with enterprise SaaS/IaaS/PaaS environments (AWS, Azure, GCP, Salesforce, M365, etc.)</li><li>
Knowledge of enterprise IT, cloud, identity and access models (EntraID/IAM), and security technologies
</li><li>Understanding of data classification, governance, and DSPM concepts</li><li>
Familiarity with AI/LLM data risks and governance considerations (preferred)</li><li>
Outstanding customer service skills and ability to quickly establish technical credibility and relationships with customers</li><li>
Excellent communication skills with the ability to engage technical and executive audiences</li><li>
Proven problem-solving abilities</li><li>
Commitment to customer success</li><li>
Proven success in contributing to a team-oriented environment.</li><li>
Sales oriented.</li><li>
Proven ability to work creatively and analytically in a problem-solving environment.</li><li>
Excellent communication (written and oral) and interpersonal skills.</li></ul><div></div><div><i><br>
</i></div><div><i>
We invite you to check out our Instagram Page to gain further insight into the Varonis culture!</i></div><div><i>
@VaronisLife</i></div><div><i>
Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics</i></div></div><div>
</div><div><b>
#LI-Remote</b></div></div>

Technical Account Manager

4P Consulting Inc.

<div><div><p><b>Position: QA Engineer III
</b></p><p><b>Location: Atlanta, GA
</b></p><p><b>Duration: 5 Months
</b><br>
<b>Client: Southern Company Services<br>
</b><br>
<br>
</p><p></p><p>Southern Company Services is seeking an experienced QA Engineer III to support quality engineering, test automation, performance testing, and release readiness across enterprise applications.
</p><p></p><p>The ideal candidate will have strong experience with API automation, regression testing, CI/CD integration, performance testing, defect analysis, and cross-functional collaboration with Engineering, Product, and DevOps teams.
</p><p></p><p><b>Key Responsibilities
</b></p><p>&middot; Develop and execute test strategies for regression, new functionality, integration, end-to-end, and performance testing.
</p><p>&middot; Create and maintain test plans, test cases, automated test suites, and exploratory test charters.
</p><p>&middot; Build reusable and maintainable automation frameworks for API and UI testing.
</p><p>&middot; Integrate automated tests into CI/CD pipelines and ensure reliable, actionable test results.
</p><p>&middot; Perform load, stress, endurance, scalability, and peak-volume testing.
</p><p>&middot; Establish performance baselines and monitor latency, throughput, response times, and error rates.
</p><p>&middot; Lead defect triage and support root-cause analysis.
</p><p>&middot; Partner with developers, product teams, and DevOps to improve testability, logging, instrumentation, and acceptance criteria.
</p><p>&middot; Provide clear reporting on test coverage, quality risks, release readiness, and recommendations.
</p><p>&middot; Support continuous improvement of quality-management processes and standards.
</p><p></p><p><b>Qualifications
</b></p><p>&middot; 5&ndash;10 years of experience in quality assurance, test automation, or software quality engineering.
</p><p>&middot; Strong experience with API testing and automation.
</p><p>&middot; Experience with UI, integration, and end-to-end testing.
</p><p>&middot; Hands-on experience with performance and reliability testing.
</p><p>&middot; Experience integrating automated testing into CI/CD pipelines.
</p><p>&middot; Strong knowledge of regression, risk-based, exploratory, and scripted testing.
</p><p>&middot; Experience with defect management, test reporting, and root-cause analysis.
</p><p>&middot; Strong communication, analytical, and problem-solving skills.
</p><p>&middot; Experience working with Engineering, Product, and DevOps teams.
</p><p>&middot; Utility, energy, or regulated-industry experience is preferred.
</p><p></p><p>-</p></div></div>

QA Engineer III

QA Engineer III 4P/786

D4C Dental Brands

<div><p><b>Field Service Engineer</b></p>
<p>
Atlanta, Georgia | Field-Based | ~70% Travel</p>
<p>
At Dentistry for Children, technology keeps our practices running so our teams can focus on what matters most: our patients. We're looking for a Field Service Engineer to serve as a mobile technical expert, providing hands-on support for complex desktop, network, and application issues across our Atlanta-area locations. This role is a critical field-based escalation point for our Tier 2 End User Support team, ensuring seamless, fast resolution of critical incidents that keep our offices up and running.</p>
<div>
<h2 class="jobSectionHeader"><b>What You'll Do</b></h2>
</div>
<ul><li> Serve as the on-site technical expert for complex desktop, network, and application issues that require hands-on troubleshooting</li></ul>
<ul><li> Act as the field-based escalation point for our Tier 2 End User Support team, resolving critical incidents that can't be solved remotely</li></ul>
<ul><li> Diagnose and repair hardware, network, and connectivity issues across multiple practice locations</li></ul>
<ul><li> Collaborate closely with Tier 2 support to ensure smooth handoffs, clear communication, and fast incident resolution</li></ul>
<ul><li> Install, configure, and maintain desktop systems, network equipment, and related infrastructure</li></ul>
<ul><li> Document incidents, resolutions, and recurring issues to support continuous improvement</li></ul>
<ul><li> Build strong working relationships with practice staff, providing responsive, professional on-site support</li></ul>
<div>
<h2 class="jobSectionHeader"><b>What You'll Need</b></h2>
</div>
<ul><li> Associate's degree in Computer Science, Information Technology, or a related field</li></ul>
<ul><li> Minimum 3 years of relevant industry experience, or an equivalent combination of education and experience</li></ul>
<ul><li> Strong hands-on troubleshooting skills across desktop, network, and application environments</li></ul>
<ul><li> Experience supporting or collaborating with a help desk / end user support team</li></ul>
<ul><li> Excellent communication skills and a customer-service mindset</li></ul>
<ul><li> Valid driver's license and clean driving record</li></ul>
<ul><li> Ability to travel approximately 70% of the time within the Atlanta-area territory</li></ul>
<ul><li> Comfortable working independently and managing a flexible, field-based schedule</li></ul>
<div>
<h2 class="jobSectionHeader"><b>Why Join Dentistry for Children</b></h2>
</div>
<ul><li> Be part of a mission-driven organization helping children build a lifetime of healthy smiles</li></ul>
<ul><li> Competitive salary plus travel compensation</li></ul>
<ul><li> Health, dental, and vision benefits</li></ul>
<ul><li> 401(k)</li></ul>
<ul><li> A supportive, collaborative team culture</li></ul>
<p><b>
Location: </b>Atlanta, GA (field-based, servicing area practice locations)</p>
<p><i>
If you're a hands-on technical problem-solver who wants your work to make a real difference for kids and families, we'd love to hear from you.</i></p></div>

Field Service Engineer

Explore 21+ Ml engineer in Atlanta this August. Find roles across top companies and apply now to boost your career.