automation engineer

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior SDET Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Software Testing</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior SDET Engineer to own quality engineering for our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Design and implement scalable test automation frameworks for data pipelines, APIs, and distributed systems &mdash; with quality standards calibrated to CDP's role as the authoritative source of truth</li></ul>
<ul><li> Build data validation frameworks to ensure completeness, accuracy, and consistency of customer profiles across systems (e.g., ADLS, Databricks, Snowflake)</li></ul>
<ul><li> Develop manual and automated tests for batch and streaming data pipelines, including reconciliation, anomaly detection, and data freshness validation</li></ul>
<ul><li> Validate identity resolution outputs &mdash; ensuring deduplication, matching, and golden profile creation meet accuracy thresholds before data reaches downstream consumers</li></ul>
<ul><li> Validate API integrations and microservices, including contract testing and performance validation for systems serving real-time customer experiences</li></ul>
<ul><li> Drive test strategy for cloud-native and data platforms, including CI/CD integration and shift-left practices that catch quality issues before production</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 6+ years of experience in software quality engineering / SDET roles, preferably in data platforms or cloud environments</li></ul>
<ul><li> Strong experience testing data engineering pipelines and large-scale datasets</li></ul>
<ul><li> Hands-on experience with cloud platforms (Azure preferred) and modern data stack technologies</li></ul>
<ul><li> Experience working in Agile/Scrum environments</li></ul>
<ul><li> Technical Skills:</li></ul>
<ul><li> Strong programming skills in Python, Java, or Scala</li></ul>
<ul><li> Experience with data platforms and storage systems: ADLS, Databricks, Snowflake, SQL Server, Cosmos DB</li></ul>
<ul><li> Experience validating ETL/ELT pipelines, including batch and streaming (Kafka/Event Hub)</li></ul>
<ul><li> Hands-on experience with API testing tools (Postman, Rest Assured, PyTest, etc.)</li></ul>
<ul><li> Experience building test automation frameworks from scratch for data-intensive applications</li></ul>
<ul><li> Knowledge of CI/CD pipelines and integration with testing frameworks</li></ul>
<ul><li> Experience with data quality tools, reconciliation techniques, and query-based validation at scale</li></ul>
<ul><li> Exposure to GenAI/LLM validation, Azure AI Foundry, or similar platforms is a strong plus</li></ul>
<ul><li> Familiarity with performance testing and scalability validation for distributed systems processing billions of records</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong understanding of data architecture, distributed systems, and the unique quality challenges of population-scale customer data</li></ul>
<ul><li> Ability to think in terms of data correctness, lineage, and system reliability &mdash; understanding that data quality is the foundation of CDP's authority</li></ul>
<ul><li> Excellent problem-solving and debugging skills in complex, multi-system environments</li></ul>
<ul><li> Strong collaboration skills across engineering, AI/ML, product, and operations teams</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $68,000-$102,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>api testing,selenium,java,data lineage,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 68,000.00 to 102,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior SDET Engineer — Customer Data Platform

VetsEZ

<div><p>VetsEZ is seeking a<b> DevSecOps Engineer, Configuration and Release Management SME</b> to work as part of a team on our HDM Program supporting the Department of Veteran Affairs. The successful candidate will utilize Jenkins to deploy to PreProd and Production environments, provide first line support to development teams using Jenkins, guide development teams in best practices for automation of current manual steps (e.g., scripting changes instead of manually applying them, proper use of config scripts, etc.), and support/lead the adoption of automation and artificial intelligence (AI), among related tasks.</p>
<p>The candidate must reside within the continental US.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Management and implementation of the GitHub Enterprise and Git Flow methodology for 180+ Developers</li><li>
Implementation of GitHub processes that included versioning, tagging, branching strategies, and Git scripting</li><li>
Prepare several strategies that include centralized version control model using Git Flow and standard Git processes.</li><li>
Enhance processes for branch automation for software releases</li><li>
Work with project teams to create build release schedules and own the packaging and build process</li><li>
Code synchronizations across all environments</li><li>
Mature CI/CD to incorporate automated testing in Jenkins</li><li>
Research opportunities for process improvements</li><li>
Attend meetings including, but not limited to, CM Scrum, HDM Daily Touchbase, weekly CRB, and weekly deployments</li></ul>
<p><b>Requirements:</b></p>
<ul><li>Bachelor's degree in Information Technology, Computer Science, Engineering, or related technical discipline</li><li>
Minimum of 3 years of professional experience in DevSecOps, Continuous Integration/Continuous Deployment tools, and automation</li><li>
Strong development background using multiple development tools, techniques, and platform technologies</li><li>
Jenkins deployments &ndash; subject matter expertise knowledge of Jenkins and GitHub</li><li>
Manual deployments - subject matter expertise with SSH access</li><li>
JavaScript development experience</li><li>
Familiarity with UNIX environments and navigating UNIX</li><li>
Git / Bash scripts subject matter expertise</li><li>
Experience utilizing tools across various platforms and environments such as Jenkins, GitHub, Jira, AI, etc.</li><li>
Ability to clearly communicate both verbally and in writing with the client and team members, including experience documenting and presenting findings</li><li>
Work well in a team environment
</li><li>Ability to support after-hours software deployments on average one night per week</li><li>
Highly detail oriented</li><li>
Strong interpersonal skills &ndash; this is a customer facing role
</li></ul><p><b>Additional Qualifications:</b></p>
<ul><li>Experience in SAFe/Agile software development</li><li>
Ability to obtain a Federal Government clearance</li><li>
Familiarity with VA environment a plus</li><li>
Familiarity with HealthShare Management Portal a plus</li><li>
InterSystems experience with HealthShare/HealthConnect is a plus</li></ul>
<p><b>Benefits:</b></p>
<ul><li>Medical/Dental/Vision</li><li>
401k with Employer Match</li><li>
PTO + Federal Holidays</li><li>
Corporate Laptop</li><li>
Training opportunities</li><li>
Remote Opportunity</li></ul>
<p><b>Note: </b>Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
</p><p>Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.</p>
<p>Please note: Sponsorship is not available for this position</p></div>

Configuration Release Management (Remote Opportunity)

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


AI/ML Engineer - Remote

Artificial Intelligence Engineer – Remote

IHG Hotels & Resorts

<div><p>The <b>AI Engineer</b> will build, test, and maintain the models, agentic solutions and infrastructure that power our AI solutions.
</p><p>The ideal candidate has a solid foundation in software development, a passionate interest in AI, and a relentless curiosity to learn. The <b>AI Enginee</b>r is an experienced individual contributor within a project team.
</p><p><b>Your Day to Day</b></p><ul><li>
Contribute to the development of AI/ML models and agentic applications by writing, testing, and documenting code under the guidance of senior team members.
</li><li>Assist in preparing and processing data for model training and evaluation. Help build and maintain data pipelines to support our AI services.
</li><li>Participate in the testing and validation of AI models to ensure they are accurate and performant. Assist in monitoring and maintaining deployed applications.
</li><li>Work closely with other engineers, data scientists, and product managers in an agile environment to deliver on team goals.
</li><li>Actively learn from senior members of the team, participate in code reviews, and continuously develop your skills in AI, machine learning, and software engineering.
</li><li>Uphold high standards for code quality, testing, and documentation. Champion software engineering best practices within the team. Deliver code that is secure, reliable and supportable.
</li><li>Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity. Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient. Effectively use AI code assistants to deliver code.
</li><li>Ensure application diagrams and documentation stay current and relevant.
</li><li>Adherence to agile development methodologies.</li></ul><p>
</p><p><b>What You Will Bring</b></p><ul><li><p>
Education
</p><ul><li><div>Bachelors in a relevant field of work or an equivalent combination of education and work-related experience.
</div></li></ul></li><li><p>Experience
</p><ul><li><div>Typically, a minimum of 5+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
</div></li><li><div>Some professional or academic experience in software development, preferably using Python.
</div></li><li><div>Demonstrated interest in AI and machine learning through coursework, personal projects, or internships.
</div></li><li><div>Solid understanding of core computer science principles and software engineering fundamentals.
</div></li><li><div>A collaborative mindset and strong communication skills.
</div></li><li><div>Experience working with large datasets and complex data pipelines.
</div></li><li><div>Ability to work effectively in a collaborative, agile team environment.
</div></li><li><div>An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.</div></li></ul></li></ul><p>
</p><ul><li><p>Technical Skill &amp; Knowledge
</p></li></ul><p></p><ul><li><div>Strong programming skills in Python.
</div><ul><li><div>Foundational knowledge of machine learning concepts and algorithms. Familiarity with common libraries like Scikit-learn, Pandas, or NumPy is a plus.
</div></li><li><div>Interest in learning deep learning frameworks such as TensorFlow or PyTorch.
</div></li><li><div>Good analytical and problem-solving skills with keen attention to detail.
</div></li><li><div>Familiarity with Git and version control workflows.
</div></li><li><div>Theoretical understanding of machine learning, deep learning, and natural language processing (NLP).
</div></li><li><div>Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
</div></li><li><div>Experience with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
</div></li><li><div>Understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).</div><div>
</div></li></ul></li></ul><div></div><p><b>Travel - 10%</b></p><p><b>
Location - Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
</b></p><p><b>The salary range for this role is $119,000 to $145,000. This role is also eligible for bonus pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401K, and other benefits to employees.</b><br>
<br>
#LI-ZY1
</p><p></p><div><div><div>At IHG Hotels &amp; Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You&rsquo;ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there&rsquo;s Room for You at IHG.<br>
</div><div></div><br>
<div>Over recent years, we&rsquo;ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests &amp; owners love.<br>
</div><div></div><br>
<div>We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That&rsquo;s why here at IHG, we give our colleagues flexibility and balance &ndash; working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that&rsquo;s why leaders work with teams to determine how and when they collaborate.<br>
</div><div></div><br>
<div>We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference.<br>
</div><div></div><br>
<div>Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels &amp; Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.
</div>
</div></div><div></div><p>Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.</p><p></p><p><b>
Important information</b>:</p>
<ul>
<li>The salary range listed is the lowest to highest pay scale we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee&rsquo;s pay position within the pay range will be based on several factors, including relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs.</li>
<li>No amount of pay is considered to be wages or compensation until it is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remain in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</li>
<li>If you require reasonable accommodation during the application process, please click here.</li>
<li>IHG does not accept applications, inquiries, or unsolicited CVs/resumes from staffing or recruiting agencies. Please click here for our agency policy.</li>
<li>If you are a resident of or applying to a job opening in the State of Washington, please click here to read about applicable benefits.</li></ul></div>

AI Engineer

The Home Depot

<div><div><p><b>Position Purpose:</b></p><p>
The Senior Cybersecurity Engineer &ndash; Non‑Human Identity (NHI) partners with Architecture, IAM, cloud, platform, DevOps, and application teams to design, build, and operate enterprise‑scale discovery, governance, and lifecycle automation for non‑human identities (NHIs). NHIs include service accounts, API tokens, cloud IAM roles, automation identities, CI/CD identities, and AI agents across on‑premises, hybrid, and multi‑cloud environments. This role focuses on automation, collaboration, and risk reduction, helping modernize authentication patterns and reduce reliance on long‑lived credentials.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
100% Deliver Execution, Plans &amp; Align, Problem Solving - Design automation workflows and capabilities in support of data collection, investigation and incident response Develop threat hunting and data analysis strategy and capabilities Identify and propose new technologies, methodologies and/or approaches to detecting malicious activity Utilize indicators to scope and respond proactively to emerging threats Design, build, configure, maintain and monitor cybersecurity threat defense capabilities and user access management</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Manager or Sr. Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><p><b>
Non‑Human Identity Discovery &amp; Automation</b></p><ul><li>
Work with IAM, Architecture, and platform teams to design and operate automated discovery capabilities for NHIs across servers, applications, cloud platforms, and CI/CD pipelines</li><li>
Contribute to development of automation and tooling (Python, PowerShell) to:<ul><li>
Discover NHIs across infrastructure and environments</li><li>
Parse configuration files, logs, APIs, and Infrastructure‑as‑Code to identify embedded or hard‑coded credentials</li><li>
Enrich NHI metadata including ownership, purpose, environment, and lifecycle state</li></ul></li><li>
Partner with engineering teams to automate NHI hygiene activities such as ownership validation, lifecycle tracking, and reporting</li></ul><p><b>
NHI Lifecycle &amp; Governance</b></p><ul><li>
Collaborate with IAM, Architecture, cloud, and ITSM teams to design and integrate NHI lifecycle workflows, including onboarding, access reviews, credential rotation, and decommissioning</li><li>
Integrate NHI workflows with enterprise platforms, including: IAM and PAM solutions, Cloud IAM services, Secrets management platforms, ITSM and workflow tools</li><li>
Support enforcement of clear ownership, purpose, and lifecycle accountability for NHIs</li><li>
Assist with enterprise access reviews, attestations, and audit evidence generation</li></ul><p><b>
Partner with application, platform, and DevOps teams</b> to analyze authentication flows and refactor legacy patterns toward modern, password‑less NHI designs, including managed identities, OAuth client credentials, and short‑lived tokens.</p><ul><li>
Provide NHI context to security monitoring and incident response teams to support investigations involving service account misuse, anomalous automation behavior, or credential compromise</li><li>
Apply data‑driven techniques such as pattern recognition, baselining, and anomaly indicators to analyze NHI usage trends and detect drift or misuse.</li></ul><p><b>
AI Agent Identity Governance</b></p><ul><li>
Partner with architecture and platform teams to support onboarding and governance of AI agents as non‑human identities</li><li>
Help ensure AI agents have clearly defined ownership, scoped access, and documented lifecycle expectations</li></ul><p><b>
Basic PKI Responsibilities (Foundational)</b></p><ul><li>
Support certificate‑based NHIs (e.g., TLS, mTLS, client authentication) as part of broader NHI governance</li><li>
Integrate NHI discovery and lifecycle workflows with enterprise PKI and certificate management platforms</li><li>
Ensure certificates and private keys follow approved standards for issuance, rotation, and expiration, without direct ownership of PKI infrastructure</li><li>
Collaborate across security, cloud, and platform engineering teams to align NHI controls with Zero Trust principles and THD security standards.</li><li>
Produce and maintain technical documentation, runbooks, and onboarding guides, and support audit and compliance activities through NHI evidence and reporting.</li><li>
Continuously improve the NHI program by identifying automation opportunities, reducing operational toil, and improving accuracy, coverage, and maturity of non‑human identity controls.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div><p></p><p><br>
Apply End Date: 05/19/2026</p></div>

Cybersecurity Senior Engineer - Non Human Identity (Remote)

4P Consulting Inc.

<div><div><b>Data Engineer IV &ndash; Modern Enterprise / Lakehouse / AI-Assisted
</b><p><b>Experience Level: </b>5+ Years
<br>
<b>Work Model: </b>On-Prem + Cloud Hybrid Environments
</p><p>Location- Atlanta, GA
</p><p>Client- Georgia Power
</p><p></p><h2 class="jobSectionHeader"><b>Position Overview
</b></h2><p>The Data Engineer IV is a modern enterprise data engineering professional responsible for building, optimizing, and maintaining scalable data platforms in a hybrid on-premises and cloud environment. This role supports enterprise analytics, reporting, and AI-driven initiatives using a Lakehouse architecture, with Databricks as the strategic future-state platform.
</p><p>The ideal candidate combines strong SQL and data modeling expertise with modern Spark-based technologies and familiarity with AI-assisted development tools.
</p><p></p><h2 class="jobSectionHeader"><b>Core Responsibilities
</b></h2><h3 class="jobSectionHeader"><b>Enterprise Data Engineering
</b></h3><ul><li>Design, build, and maintain batch and/or streaming data pipelines
</li><li>Develop and optimize ETL processes using SSIS or similar tools
</li><li>Work with relational databases, data lakes, and NoSQL systems
</li><li>Normalize and model data using:
<ul><li>Star schema
</li><li>Dimensional modeling techniques
</li></ul></li><li>Transform raw data into curated, reusable datasets
</li></ul><p></p><h3 class="jobSectionHeader"><b>Lakehouse &amp; Modern Data Platforms
</b></h3><ul><li>Develop and support solutions on Spark-based platforms
</li><li>Work with Databricks Lakehouse architecture (primary future-state platform)
</li><li>Support analytics and reporting via Power BI
</li><li>Manage data orchestration workflows (e.g., Airflow or equivalent)
</li><li>Implement CI/CD and Git-based workflows for data pipelines
</li></ul><p></p><h3 class="jobSectionHeader"><b>AI-Assisted &amp; Modern Engineering Practices
</b></h3><ul><li>Leverage AI tools or copilots to assist with:
<ul><li>SQL development
</li><li>Pipeline generation
</li><li>Testing
</li><li>Documentation
</li></ul></li><li>Explore automation or AI agents to streamline engineering workflows
</li></ul><p></p><h2 class="jobSectionHeader"><b>Technical Skills Required
</b></h2><h3 class="jobSectionHeader"><b>Core Technologies
</b></h3><ul><li>Strong SQL and data modeling experience
</li><li>Hands-on experience with:
<ul><li>SQL Server
</li><li>SSIS (or similar ETL tools)
</li><li>Power BI
</li></ul></li><li>Experience with Spark-based platforms
</li><li>Working knowledge of Databricks (preferred strategic platform)
</li></ul><h3 class="jobSectionHeader"><b>Data Engineering Competencies
</b></h3><ul><li>Batch and real-time pipeline development
</li><li>Data quality and validation practices
</li><li>Relational and NoSQL systems
</li><li>Orchestration tools (Airflow or equivalent)
</li><li>CI/CD pipelines
</li><li>Git-based version control
</li></ul><p></p><h2 class="jobSectionHeader"><b>Soft Skills &amp; Work Environment Fit
</b></h2><ul><li>Strong written and verbal communication skills
</li><li>Comfortable collaborating with engineers and managers in:
<ul><li>Electric utility
</li><li>Operations-heavy domains
</li></ul></li><li>Able to operate in regulated, production-critical enterprise environments
</li><li>Analytical, detail-oriented, and solution-focused
</li></ul><p></p><h2 class="jobSectionHeader"><b>Experience Requirements
</b></h2><ul><li>5+ years in data engineering or related software engineering roles
</li><li>Experience in enterprise environments with hybrid on-prem and cloud systems</li></ul></div></div>

Data Engineer IV- 4P/619

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