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administrative assistant - atlanta, ga

azure databricks admin

Georgia-Pacific

<div><b>Your Job</b><p>
As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help deliver trusted, high-quality data across hundreds of systems and thousands of data assets. You will own, deliver, operate, and help architect the Enterprise Data Lake, Ingestion Framework, and Databricks Platform while partnering with Data Governance, Data Delivery, Product Owners, and Solution Architects to keep the platform reliable, scalable, governed, and aligned with business needs.</p><p>
This role is based in our Atlanta, GA HQ office located on Peachtree St. The expectation is hybrid (3x) in office per week.</p><p><b>
Our Team</b></p><p>
The Georgia Pacific Data Platform team builds, manages, &amp; operates centralized products that support Georgia Pacific's Business Units and IT. These products enable data to be ingested, stored, processed, governed, managed, presented, and consumed consistently across the enterprise.</p><p><b>
What You Will Do</b></p><br>
<ul><li>
Lead and optimize the GP data platform (Enterprise Data Lake, Ingestion Framework, Databricks), ensuring reliability, integrity, and cost efficiency data and data infrastructure
</li><li>Collaborate with cross-functional teams to deliver features, maintain a healthy agile process, and enhance platform accessibility for customers
</li><li>Drive automation, operational excellence, and continuous improvement through performance monitoring, issue resolution, and development of self-service tools
</li></ul><p><b>Who You Are (Basic Qualifications)</b></p><br>
<ul><li>
Experience designing, building, and maintaining large-scale distributed systems
</li><li>Experience serving as a senior technical leader overseeing multiple data engineering teams
</li><li>Experience in architectural design and systems integration for multi-stakeholder, enterprise-grade platforms
</li><li>Experience leading operations for highly available data platforms and data lakes
</li><li>Demonstrated experience in data infrastructure, including proficiency with Infrastructure as Code practices and skilled in GIT and CI/CD design patterns
</li><li>Must have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship
</li></ul><p><b>What Will Put You Ahead</b></p><br>
<ul><li>
Delivered innovative, scalable data solutions using Python, SQL, Spark, and Delta Lake, while optimizing data accessibility with open table formats (Delta, Hudi, Iceberg)
</li><li>Enhanced system efficiency and reliability by leveraging Terraform, Git/CI-CD workflows, and DAG tools (Airflow, Step Functions, Databricks Declarative Pipelines)
</li><li>Implemented and optimized the Databricks Data Platform and AWS services (Lambda, Glue, EventBridge, ECS, Kafka, etc.) to support business objectives
</li></ul><p>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.</p><p><b>
Hiring Philosophy</b>
</p><p>All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.</p><p><b>
Who We Are</b></p><p>
As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.</p><p>
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.</p><p><b>
Our Benefits</b>
</p><p>Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.</p><p><b>
Equal Opportunities</b>
</p><p>Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf
</p><p>#LI-RR1</p></div>

Lead Data Engineer

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

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

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

Information Technology Senior Management Forum

<div><div>Posted Date 7/30/2026
</div><div>Description<br>
<p></p>
<p><b>Regular or Temporary:</b></p>
Regular
<p><b>Language Fluency: </b>English (Required)</p>
<p><b>Work Shift:</b></p>
1st shift (United States of America)
<h4 class="jobSectionHeader"><b>Please review the following job description:</b></h4>
***This role is 5 days a week in the Atlanta, Raleigh or Charlotte office***
<br>
<br>
<ul><li>This team uses automated API security tools like Akamai, Salt Security and ReadyAPI tools to identify vulnerabilities in running APIs
</li></ul><br>
<ul><li>This Senior Security Engineer will be experienced with API security testing tools such as Akamai, API Security, Salt Security, Traceable, Data Theorem, OWASP ZAP (API extensions), SoapUI, ReadyAPI, or Burp Suite
</li></ul><br>
<ul><li>The team partners with application development, DevSecOps, and technology teams to identify, assess, prioritize, and drive remediation of security vulnerabilities across applications, APIs,
</li></ul><p><b>ESSENTIAL DUTIES AND RESPONSIBILITIES</b></p>
<p>Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.</p>
<ul><li>Lead the enterprise vulnerability management program for automated API testing, including identification, assessment, prioritization, tracking, and remediation of security vulnerabilities.</li>
<li>Performs security testing, and penetration testing tasks for assigned platforms and services, using defined methods to identify and remediate vulnerabilities.</li>
<li>Develop risk-based remediation strategies and collaborate with application teams to reduce organizational security exposure</li>
<li>Reviews relevant security threats, tools, and design options for assigned work, and provides input that supports technical plans and priorities for the job area.</li>
<li>Perform triage and validation of security findings to reduce false positives and improve remediation effectiveness.</li>
<li>Design, implement, and maintain automated API security testing capabilities within CI/CD pipelines.</li>
<li>Implements and updates security baselines, guardrails, and control configurations for systems and applications within the area of responsibility, helping maintain regulatory and policy compliance.</li>
<li>Shares knowledge and best practices with technical teammates, offering informal guidance and support during code reviews, design discussions, and pairing sessions.</li>
<li>Plans and manages own work to meet defined objectives and milestones, seeking feedback, pursuing self-development, and adjusting approaches to improve quality and effectiveness over time.</li>
</ul><p><b>Required Qualifications</b>
<br>
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p>
<ul><li>Bachelor&rsquo;s degree or equivalent education, training, and work-related experience.</li>
<li>Minimum of 7 years of experience in security engineering or related cybersecurity roles.</li>
<li>Deep specialized knowledge in cybersecurity principles, theories, and concepts.</li>
<li>Proven experience in software development lifecycle security practices.</li>
<li>Deep knowledge of threat modeling, security testing, and penetration testing.</li>
<li>Experience implementing and managing complex information security technologies.</li>
</ul><p><b>Preferred Qualifications</b></p>
<ul><li>Working knowledge of industry security frameworks and standards, including:
<ul><li>NIST SP 800-228 (API Security Guidance)</li>
<li>FFIEC (Federal Financial Institutions Examination Council) guidelines</li>
<li>OWASP API Security Top 10</li>
<li>Financial-grade API (FAPI &ndash; OpenID Foundation)</li>
</ul></li><li>Strong understanding of API security protocols and frameworks, including OAuth 2.0, OpenID Connect (OIDC), Mutual TLS (mTLS), and JSON Web Tokens (JWT)</li>
<li>Experience within banking or financial services environments</li>
<li>Proficiency or familiarity with Python scripting</li>
<li>Relevant security certifications such as CISSP, OSCP, CEH, or Security+</li>
<li>Experience with cloud platforms such as AWS and/or Microsoft Azure?</li>
<li>Experience in financial services, cybersecurity, regulated enterprise environments, or platforms with high audit and control requirements.</li>
<li>Familiarity with secure tool-calling patterns, API protections, model or prompt change validation, and runtime traceability for AI systems.</li>
<li>Working knowledge of cloud-native security patterns, telemetry analysis, and deployment gating for modern engineering teams.</li>
</ul><p><b>General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: </b>All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.</p>
<p><b><i>Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.</i></b></p>
<p>EEO is the Law E-Verify IER Right to Work</p>
</div><div></div><div><div>Type
<div>Full-time</div></div></div></div>

Senior API Security Engineer

The Coca-Cola Company

<p></p><div><p>At The Coca-Cola Company, we are connecting the power of technology with the scale of our global operations to create secure, digitally confident systems that drive growth. Cybersecurity is at the heart of this commitment, ensuring our platforms, data, and operational environments remain protected as we transform in an increasingly complex and connected world.</p><p></p><p>
We are seeking an Information Technology Auditor with deep cybersecurity expertise to join our Internal Audit team. This role is integral to safeguarding enterprise resilience by assessing technology controls across cloud platforms, digital ecosystems, industrial control systems, and data privacy frameworks. You will serve as a Cybersecurity Subject Matter Expert (SME), partnering closely with senior IT and security leaders to identify emerging risks, evaluate control strategies, and ensure compliance with globally recognized standards, including SOX requirements.</p><p></p><p>
If you have strong technical curiosity, proven experience in IT audit or cybersecurity, and a passion for applying risk-based thinking to dynamic technology environments, this opportunity offers a unique platform to influence operational integrity across a company that refreshes the world every day.</p><p></p><p><b>
What You&rsquo;ll Do for Us</b></p><ul><li>
Serve as an internal Cybersecurity SME within the Internal Audit function, conducting audits and advisory activities related to cybersecurity, IT compliance, and technology risk.</li><li>
Develop audit strategies for technology-focused engagements by contributing methodologies, risk-based approaches, and alignment with prior audit results.</li><li>
Perform interviews with process and business owners to gather insights on operational practices, expected controls, and areas of potential vulnerability.</li><li>
Independently execute established audit tests to evaluate effectiveness of security measures, IT controls, and governance processes across global environments.</li><li>
Apply frameworks such as NIST, PCI, COBIT, and others to assess cybersecurity posture and recommend control enhancements.</li><li>
Analyze findings using professional skepticism and risk-awareness; document judgment-based conclusions and ensure recommendations address root causes effectively.</li><li>
Prepare detailed audit reports communicating observations, risk implications, and corrective actions in an accurate and concise format.</li><li>
Collaborate with IT leaders and stakeholders on remediation plans for identified gaps, ensuring alignment with business priorities and compliance standards.</li><li>
Maintain awareness of evolving technologies&mdash;cloud services, ERP platforms, industrial control systems&mdash;and emerging cybersecurity threats to inform audit scope and focus.</li><li>
Participate in continuous improvement of audit methodologies and contribute ideas for leveraging analytics and automation within audit processes.</li></ul><p></p><p><b>
Requirements &amp; Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Cybersecurity, Information Assurance, Computer Science, or related discipline.</li><li>
3&ndash;4 years of experience in cybersecurity, IT audit, security engineering, or technology-focused public accounting engagements.</li><li>
Professional certification such as CISA, CISSP, CISM preferred; additional technical credentials (e.g., CEH, OSCP) advantageous.</li><li>
Strong knowledge of IT control frameworks (COBIT, PCI DSS, NIST) and ability to apply them in risk-based auditing environments.</li><li>
Familiarity with technologies such as SAP ECC/HANA, SAP GRC, Active Directory, RedHat Linux, Windows OS, Oracle Database, MS SQL Server, AWS, Azure Cloud, Microsoft 365, Palo Alto Networks, and network/ICS equipment.</li><li>
Understanding of general IT control principles including security operations, system administration, program governance, change management, and privacy standards.</li><li>
Proficiency across modern development models (DevOps, Agile) and awareness of data governance and incident management processes.</li><li>
Strong analytical and quantitative ability; comfortable working with probabilities, ratios, and statistical measures to identify risk trends.</li><li>
Excellent communication and interpersonal skills with the ability to clearly present risks, negotiate corrective actions, and engage stakeholders at all levels.</li><li>
Ability to travel up to 30% domestically and internationally; flexibility to accommodate department needs and extended projects.</li><li>
Demonstrated initiative and aptitude for learning new technologies and adapting to evolving business environments with minimal supervision.</li></ul><p></p><p><b>
Position Details:
</b></p><p><b>Location: Atlanta, Georgia</b></p><p>
Travel 30% domestic and international</p><p>
Individual contributor role - no direct reports</p><p></p><p><b>
What We Can Do for You:</b></p><ul><li><b>
Commitment to Diversity: </b>We are paving the way to create change in the industry and our leadership is committed to diversity, inclusion and belonging.</li><li><b>
Global Network</b>: Expand your global network by developing, learning, and growing with our top talent and connections around the world.</li><li><b>
Agile Work Environment</b>: We embrace agile, with leadership that believes in removing barriers, so you are empowered to innovate and discover new solutions to complex problems.</li></ul><p></p>
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.<p></p>
Artificial Intelligence (AI), Artificial Intelligence Technologies, Cloud Security, Cyber Risks, Cybersecurity, Cybersecurity Assessment, Cyber Threat Prevention, Information Systems, Information Technology Auditing, Infrastructure Administration, Internal Controls, Kali Linux, Microsoft Dynamics 365 ERP, Network Security, SAP Systems, Sarbanes-Oxley Act (SOX)<p></p><p><b>
Pay Range:</b></p>
United States of America: 124,600 USD - 148,200 USD<p></p><p><i>
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.</i></p><p></p><p><b>
Annual Incentive Reference Value Percentage:</b></p>
15<p></p><p><i>
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.</i></p><p></p><p><b>
Location(s):</b></p>
United States of America<p></p><p><b>
City/Cities:</b></p>
Atlanta<p></p><p><b>
Travel Required:</b></p>
26% - 50%<p></p><p><b>
Relocation Provided:</b></p>
No<p></p><p><b>
Job Posting End Date:</b></p>
August 7, 2026<p></p><p><b>
Our Purpose and Growth Culture:</b></p><p></p><p>
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what&rsquo;s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors &ndash; curious, empowered, inclusive and agile &ndash; and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.</p><p></p>
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.<br>
<br>
Pay Range:United States of America: 0 USD - 0 USD<br>
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.<br>
<br>
Annual Incentive Reference Value Percentage:15<br>
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.<br>
<br>
Long-term Incentive Reference Value Percentage:0 - 20<br>
Long-term Incentive reference value is a market-based competitive value for your role.</div>

Manager - Information Technology Audit – Cybersecurity Specialist