platform engineer

Orange Business

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Join us at Orange Business!
 <br/>
 <br/>
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 <br/>
 <br/>
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Your day-to-day missions
  </li>
  <li>
   You contribute to the design, deployment and operation of data platforms on Microsoft Azure, with a strong focus on Microsoft Fabric, ensuring reliability, scalability and security in production environments.
  </li>
  <li>
   You work closely with data engineers, data scientists and application teams to industrialize data ingestion, transformation and consumption on Azure and hybrid platforms.
  </li>
  <li>
   You build and maintain the data pipelines, storage layers and services required for analytics and AI use cases (batch and/or streaming), leveraging Azure data services and Microsoft Fabric capabilities.
  </li>
  <li>
   You help automate and standardize platform services (templates, CI/CD, infrastructure as code, monitoring) to accelerate delivery while keeping quality high.
  </li>
  <li>
   You participate in incident analysis, capacity planning and continuous improvement of the data platform, contributing to a strong reliability and performance culture.
  </li>
  <li>
   Occasional missions and example projects
  </li>
  <li>
   You may contribute to the rollout of new platform capabilities, such as new Microsoft Fabric workspaces, data products or self-service data features for business teams.
  </li>
  <li>
   You can be involved in migration projects from legacy on-premise solutions to Azure and Microsoft Fabric, in collaboration with architecture and security teams.
  </li>
  <li>
   You may participate in internal communities of practice, tech talks or proof-of-concept projects around modern data stack components and best practices on Azure.
  </li>
  <li>
   Skills you will develop This position offers you the opportunity to deepen your expertise in data platform engineering on Azure, from build to run. You will strengthen your skills in Azure data services and Microsoft Fabric, data storage and processing, automation, observability and reliability, while gaining experience on real-life, large-scale data use cases. You will also develop your ability to collaborate with cross-functional teams, translate business and analytics needs into robust data platform services, and grow your autonomy and technical leadership in an international and agile environment.
  </li>
  <li>
   Benefits of the role
  </li>
  <li>
   Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior Data Platform Engineer, Data Platform Tech Lead or roles focused on data architecture. You will also be able to move towards positions combining data platform engineering with AI/ML or BI, depending on your aspirations and strengths.
  </li>
  <li>
   The team You will join an international team combining diverse expertise in data, AI, BI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience and education You have between 3 and 5 years of professional experience in a relevant technical role (for example: data engineer, platform engineer, DevOps engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
  </li>
  <li>
   Your hard skills
  </li>
  <li>
   Good knowledge and hands-on experience with Microsoft Azure, in particular its managed services for data (for example Azure Data Lake, Azure Synapse, Azure SQL, Azure Databricks) and Microsoft Fabric.
  </li>
  <li>
   Solid experience with data processing and pipelines (for example SQL, Python, Spark or equivalent), in production contexts.
  </li>
  <li>
   Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools), ideally applied to Azure environments.
  </li>
  <li>
   Familiarity with modern data platforms and tools on Azure and Microsoft Fabric, and a strong motivation to grow further in this area.
  </li>
  <li>
   Understanding of data security, governance, reliability and performance considerations for production data platforms.
  </li>
  <li>
   Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data engineers, data scientists, architects and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving data and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable data services while continuously improving them.
   <br/>
   <br/>
  </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
  </li>
  <li>
   Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
  </li>
  <li>
   Professional Development: training programs and upskilling/re-skilling opportunities.
  </li>
  <li>
   Career Growth: Internal growth and mobility opportunities within Orange.
  </li>
  <li>
   Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
  </li>
  <li>
   Reward Programs: Employee Referral Program, Change Maker Awards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Only Your Skills Matter
  <br/>
  <br/>
 </strong>
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>


Data Platform Engineer

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Join us at Orange Business!
 <br/>
 <br/>
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 <br/>
 <br/>
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Your day-to-day missions
  </li>
  <li>
   You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
  </li>
  <li>
   You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
  </li>
  <li>
   You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
  </li>
  <li>
   You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
  </li>
  <li>
   You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
  </li>
  <li>
   Occasional missions and example projects
  </li>
  <li>
   You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
  </li>
  <li>
   You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
  </li>
  <li>
   You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
  </li>
  <li>
   Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
  </li>
  <li>
   Benefits of the role You will work at the heart of Orange Business&rsquo; AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
  </li>
  <li>
   Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
  </li>
  <li>
   The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
  </li>
  <li>
   Your hard skills
  </li>
  <li>
   Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
  </li>
  <li>
   Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
  </li>
  <li>
   Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
  </li>
  <li>
   Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
  </li>
  <li>
   Understanding of security, reliability and performance considerations for production platforms.
  </li>
  <li>
   Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
   <br/>
   <br/>
  </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
  </li>
  <li>
   Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
  </li>
  <li>
   Professional Development: training programs and upskilling/re-skilling opportunities.
  </li>
  <li>
   Career Growth: Internal growth and mobility opportunities within Orange.
  </li>
  <li>
   Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
  </li>
  <li>
   Reward Programs: Employee Referral Program, Change Maker Awards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Only Your Skills Matter
  <br/>
  <br/>
 </strong>
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>


AI Platform Engineer

Stellar Hunters

<div><h4 class="jobSectionHeader"><b>Job Summary</b></h4>
<p>
We are seeking a <b>DevOps/Platform Engineer</b> to build, operate, and scale the company&rsquo;s platform infrastructure and developer tooling. The successful candidate will collaborate with Product, Engineering, Security, and IT teams to design reliable, secure, and automated platform services that enable rapid software delivery. This role requires strong hands-on engineering skills, ownership of platform reliability, and the ability to translate operational requirements into production-ready solutions.</p>
<h4 class="jobSectionHeader"><b>Key Responsibilities</b></h4>
<h5 class="jobSectionHeader"><b>Platform Engineering &amp; Operations</b></h5>
<ul>
<li><p>Design, implement, and operate scalable platform services across cloud (AWS, Azure, GCP) and hybrid environments, including compute, networking, storage, and observability components.</p>
</li><li><p>Build and maintain infrastructure-as-code (IaC) using Terraform, CloudFormation, or similar tools to provision and manage platform resources safely and reproducibly.</p>
</li><li><p>Ensure platform reliability and availability through capacity planning, performance tuning, and operational runbooks.</p>
</li></ul><h5 class="jobSectionHeader"><b>CI/CD, Automation &amp; Developer Experience</b></h5>
<ul>
<li><p>Design, operate, and improve CI/CD pipelines to enable fast, reliable, and secure software delivery for engineering teams.</p>
</li><li><p>Automate platform operations, deployments, and routine tasks using scripting or orchestration tools (e.g., Python, Go, Bash, Ansible).</p>
</li><li><p>Partner with developers to improve developer experience, create self-service workflows, and provide tooling that reduces cognitive load; Cost Optimization
</p><ul>
<li><p>Work with Security and Compliance teams to integrate secure-by-default platform configurations, secrets management, and least-privilege access controls.</p>
</li><li><p>Participate in cost management activities, including rightsizing, reserved instances/savings plans, and monitoring to optimize cloud spend.</p>
</li><li><p>Contribute to architecture reviews and operational risk assessments to ensure platform changes meet security and compliance requirements.</p>
</li></ul><h5 class="jobSectionHeader"><b>Documentation, Training &amp; Collaboration</b></h5>
<ul>
<li><p>Produce and maintain platform documentation, runbooks, architecture diagrams, and onboarding guides for engineering teams.</p>
</li><li><p>Provide training and mentorship to engineers on platform best practices, tooling, and operational procedures.</p>
</li><li><p>Work cross-functionally to align platform roadmap with product goals and engineering needs, and to support vendor evaluations and integrations.</p>
</li></ul><h4 class="jobSectionHeader"><b>Required Qualifications - Skills &amp; Experience</b></h4>
<ul>
<li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</p>
</li><li><p>3+ years of hands-on experience in platform engineering, DevOps, SRE, or related roles supporting production systems.</p>
</li><li><p>Practical experience with public cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation).</p>
</li><li><p>Experience building and operating CI/CD systems, automation pipelines, and developer self-service tooling.</p>
</li><li><p>Strong scripting or programming skills (e.g., Python, Go, Bash) for automation and tooling development.</p>
</li><li><p>Familiarity with observability tooling (metrics, logging, tracing), incident management, and defining SLOs/SLIs.</p>
</li><li><p>Effective written and verbal communication skills with the ability to document technical designs and collaborate with cross-functional teams.</p>
</li></ul><h4 class="jobSectionHeader"><b>Preferred Qualifications</b></h4>
<ul>
<li><p>Relevant certifications such as AWS Certified DevOps Engineer, Kubernetes (CKA/CKAD), or similar cloud/platform credentials preferred.</p>
</li><li><p>Experience with GitOps, service mesh technologies, and platform as a product principles is advantageous.</p>
</li><li><p>Previous experience in high-availability, multi-region deployments and cost optimization strategies preferred.</p>
</li><li><p>Familiarity with security and compliance frameworks (SOC 2, ISO 27001, NIST) and supporting operational controls is a plus.</p>
</li></ul><h4 class="jobSectionHeader"><b>Work Environment &amp; Compensation</b></h4>
<ul>
<li><p>Full-time role with a hybrid onsite/remote work model; occasional travel may be required for stakeholder meetings or incident response coordination.</p>
</li><li><p>Competitive salary commensurate with experience and a comprehensive benefits package, including health insurance, retirement plan options, and paid time off.</p>
</li><li><p>Opportunities for professional development, certification support, and career progression within Platform and Engineering functions.</p>
</li><li><p>Inclusive and respectful workplace culture that values diversity, equity, and work-life balance.</p></li></ul></li></ul></div>

DevOps/Platform Engineer

Cargill

<div><p>Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.<br>
Our 155,000 team members innovate with purpose, providing customers with life&rsquo;s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing&mdash;today and for generations to come.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Purpose and Impact</b></h2>
</div><div><p>
The Sr. Platform Engineer will help build the foundation for the company's modern business applications. In this role, you will apply your knowledge of modern infrastructure and cloud software engineering practices to build, secure, and maintain the core capabilities used by our data and application teams to drive business value.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities</b></h2>
</div><div><ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.</li><li>
Leads the application of internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process, ensuring smooth and reliable releases.</li><li>
Partners with cross functional team of product managers, designers and other engineers to gather complex requirements and deliver solutions that meet business needs.</li><li>
Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software, applying test driven development as needed.</li><li>
Recommends options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>
Creates and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.</li><li>
Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2>
</div><div><ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.</li><li>
Experience building and operating cloud-agnostic or hybrid infrastructure platforms, including compute, networking, storage, and identity services.
</li><li>Strong experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Pulumi) to provision and manage scalable environments.Proficiency in at least one programming or scripting language (e.g., Go, Python, Bash) used for automation and platform tooling.</li></ul><p></p><p><br>
Preferred:</p><ul><li>
Experience designing and supporting CI/CD pipelines and deployment automation frameworks that enable self-service for application teams.</li><li>
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) and platform patterns that support modern application delivery.</li><li>
Proficiency building and operating APIs used to abstract infrastructure complexity, enforce standards, and provide seamless developer experiences through automation, tooling, and governance.</li><li>
Familiarity deploying, managing, and engineering within a vast array of hyperscaler technologies (eg: AWS, GCP, Azure)</li><li>
Understanding of platform engineering principles, including internal developer platforms (IDPs), self-service capabilities, and developer experience optimization.</li><li>
Experience implementing security, compliance, and governance controls within platform tooling (e.g., identity, secrets management, policy enforcement).</li><li>
Knowledge of observability practices including logging, monitoring, and alerting to ensure platform reliability and performance. (eg: Elastic, DataDog)</li><li>
Ability to work across teams to define standards and improve software delivery, operational maturity, and platform adoption.</li></ul><p></p><p><br>
Additional:</p><ul><li>
The business will not sponsor applicants for work visas for this position</li><li>
This position requires onsite (hybrid) presence at our Midtown Atlanta Technology Hub</li></ul></div></div></div><p>
Equal Opportunity Employer, including Disability/Vet.</p></div>

Sr. Platform Engineer

University of Virginia

<div></div><div><div><div><div>Location</div>
 <div></div>Charlottesville, Virginia, United States of America
 </div></div><div></div><div><div>The Rector &amp; Visitors of the University of Virginia
</div></div><div><div><div>Job Id</div>
 <div></div>R0082323</div></div></div>
<br><p></p><div><div><b>Department Overview</b></div><p>
UVA Information Technology Services (ITS) does more than support the UVA community &mdash; we empower and move it forward. With every partnership and every solution, we are shaping a culture and ecosystem where learning and discovery thrive.</p><div><b>
Position Summary</b></div><p>
UVA Information Technology Services is seeking an AI Platform Engineer to help build, integrate, and support enterprise AI services for the University.</p><p>
This role is focused on turning AI capabilities into real services people can use. The engineer in this position will help design and operate secure, scalable, and supportable AI platform offerings that fit into the way UVA works. That includes identity and access, automation, governance, cloud integration, operational readiness, and user enablement.</p><p>
The AI Platform Engineer will work across public cloud platforms, enterprise applications, and emerging AI products to move new capabilities from pilot to production. This role partners closely with teams across enterprise infrastructure, security, identity, ITSM, and other ITS and University stakeholders.</p><p></p><p><b>
This is a 2 year limited role contingent on funding
</b></p><p></p><div><b>Responsibilities</b></div><ul><li>
Design, implement, support, and improve enterprise AI platforms and services</li><li>
Build and maintain the technical foundations for AI services, including access, provisioning, automation, logging, monitoring, and operational readiness</li><li>
Support AI-related engineering across UVA&rsquo;s cloud and enterprise technology environments</li><li>
Develop reusable patterns for onboarding, integration, access control, lifecycle management, and service delivery</li><li>
Build automation and infrastructure-as-code to improve consistency and scale</li><li>
Support evaluation, pilot, rollout, and ongoing operations for AI platform capabilities and integrations</li><li>
Produce technical documentation, runbooks, knowledge articles, and reference materials</li></ul><div><b>
Minimum Qualifications</b></div><p><b>
Education:</b><br>
Bachelor&rsquo;s degree in computer science, information systems, engineering, or a related field, or equivalent combination of education and experience</p><p><b>
Experience:</b></p><ul><li>
Demonstrated hands-on experience using large language models (LLMs) and generative AI platforms in technical, engineering, or operational work</li><li>
Experience implementing, integrating, supporting, or evaluating generative AI services in a production, pilot, or enterprise setting</li><li>
Experience with one or more AI platforms or services such as Microsoft Copilot Studio, Azure OpenAI, Azure AI services, Amazon Bedrock, Google AI services, OpenAI enterprise offerings, Anthropic/Claude, AI gateways, or similar technologies</li><li>
Experience with AI-related APIs, prompt-driven workflows, orchestration patterns, or platform integrations</li><li>
Experience supporting enterprise platforms, infrastructure, or cloud services in production environments</li><li>
Experience with one or more public cloud platforms such as Microsoft Azure, AWS, or GCP</li><li>
Experience with enterprise identity, authentication, access management, directory integration, or single sign-on</li><li>
Experience with scripting, automation, or infrastructure-as-code using tools such as Python, PowerShell, Bash, Terraform, Bicep, or similar technologies</li><li>
Strong troubleshooting, documentation, and cross-team collaboration skills</li></ul><p><b>
Licensure/Certification:</b><br>
None required</p><div><b>
Preferred Qualifications</b></div><p><b>
Education:</b><br>
Advanced degree in a related field preferred</p><p><b>
Experience:</b></p><ul><li>
Experience with shared-service delivery, platform operations, or service onboarding in a large and complex organization</li><li>
Experience integrating SaaS or enterprise applications, including app registration, enterprise app onboarding, SCIM, SSO, admin consent, or API-based integration</li><li>
Experience supporting developer enablement or AI-assisted engineering workflows</li><li>
Familiarity with higher education technology environments</li><li>
Experience balancing innovation with governance, operational maturity, and long-term supportability</li></ul><p><b>
Licensure/Certification:</b><br>
Relevant cloud or AI certifications preferred</p><div><b>
Physical Demands</b></div><p>
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.</p><div><b>
Salary Range</b></div><p>
$130,000-140,000</p><div><b>
Position Type &amp; Work Location</b></div><p>
Full-time, benefited position. Work location may be hybrid or remote in accordance with University policy and department needs.</p><div><b>
About UVA and the Community</b></div><p>
The University of Virginia, founded by Thomas Jefferson, is a premier public institution recognized for its commitment to excellence, innovation, and service. Located in Charlottesville, UVA offers a vibrant community, rich history, and outstanding quality of life.</p><div><b>
Application Timeline</b></div><p>
Applications will be reviewed as received.</p><div><b>
Additional Requirements</b></div><p>
This position will not sponsor applicants for work visas. A background check will be conducted on the finalist.</p><p><b>
How to Apply</b></p><p>
Please apply online through Online and search for<b> R0082323</b>. Complete the application and upload the following <b>required</b> materials:</p><p><i>
Internal applicants may search and apply for jobs on the </i>UVA Internal Careers website<i>.</i></p><ul><li><p>
Cover letter</p></li><li><p>
Resume</p></li></ul><p><b>
Please note that multiple documents can be uploaded in the &ldquo;Resume&rdquo; box.</b> Applications that do not contain all required documents will not receive full consideration.</p><div><b>
Reference Check Process</b></div><p>
Reference checks will be completed via UVA&rsquo;s standardized process, which may include SkillSurvey.</p><div><b>
Contact</b></div><p>
For questions about this position, please contact Bill Crane at Xer5ff@virginia.edu</p><p></p><p><i>
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about </i><i>UVA&rsquo;s commitment to non-discrimination and equal opportunity employment</i><i>.</i></p></div>
<br><div><div><div><div><p><b>Company</b></p>
The Rector &amp; Visitors of the University of Virginia
</div></div></div><div><div><div><p><b>Hiring Type</b></p>
Full time</div></div></div></div>

ASRC Federal

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
<br><br>
ASRC Federal has an exciting opportunity for a Senior Platform Engineer. This position offers a sign-on bonus.
<br>As a Platform Engineer, you will play a crucial role in automating and optimizing our DevOps toolchain, ensuring seamless collaboration between development and operations teams. Your expertise in automating processes and integrating tools will directly impact the efficiency and quality of our software delivery. This will include optimizing existing CI/CD pipelines to work in AirGap cloud settings and support automation of customer development desktops for the best customer experience possible.
<br>By applying to this position, you agree to let ASRC Federal confidentially share your resume with our partner company supporting this contract.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Infrastructure Management</li>
<li>Deploy Azure resources using Azure Pipelines such as Azure Virtual Machines, Key Vaults, and other core Azure resources</li>
<li>Leverage a GitOps model for management of Azure Infrastructure code baseline</li>
<li>Leverage industry standards such as Packer for building golden images as code for a medium sized infrastructure environment</li>
<li>Ensure all Azure components meet industry standard configurations such as customer managed keys</li>
<li>Experience using Azure Infrastructure as Code such as Bicep or Terraform</li>
<li>Experience with Active Directory and Entra ID to leverage identity services and integration such as with keycloak or other applications</li>
</ul>
Security and Compliance
<br><ul>
<li>Maintain enterprise environment using DoD (U.S. Department of Defense) standard vulnerability tools such as Nessus Security Center.</li>
<li>Audit all Virtual Machines in the environment are reporting logging information to a centralized enterprise Log Analytics workspace.</li>
<li>Perform patching and update management of the Virtual Machine footprint using WSUS (Windows Server Update Services) or other enterprise scale update management system.</li>
<li>Participate in change management review boards to support boundary changes in the overall enterprise.</li>
</ul>
Customer Onboarding
<br><ul>
<li>Review customer onboarding information for workloads and update parameter templates to their matching hardware family (Compute Optimized vs. Memory Optimized)</li>
<li>Leverage existing CI/CD (continuous integration and continuous delivery) pipeline to deploy Azure infrastructure into an existing software enterprise</li>
<li>Ensure customer requirements are documented inside of a content management system such as Confluence.</li>
<li>Collaborate with local onsite team members to ensure all required configurations have been completed and that services are ready to be turned over to software customer base.</li>
<li>Provide basic tier 1 support in assisting customers installing software onto baseline desktops using an automation first mentality (DSC or Packer).</li>
<li>Experience with Kubernetes</li>
<li>Other duties as assigned</li>
</ul>
<b>Key automation that will be desired are:</b><br>
<ul>
<li>Bicep or Terraform</li>
<li>Skopeo/Crane/Podman for Container Movement</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Must be a US citizen and currently have a Department of Defense Top Secret/SCI Clearance.</li>
<li>Security+ Certification</li>
<li>Experience using HCL languages such as Packer and Terraform.</li>
<li>Experience using Microsoft Azure Bicep.</li>
<li>Bachelor’s degree in computer science, Engineering, Finance, Business, or related Field</li>
<li>5-8 years demonstrated performance in related technology.</li>
<li>Experience with Kubernetes</li>
</ul>
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
<br><br>
EEO Statement
<br>ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

Senior Platform Engineer -

Network Designs

<div><p><b>About NDi:</b></p><p>
Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. <b>Military Veterans Encouraged to Apply.</b></p><p><b>
Job Description:</b></p><p>
We are seeking a Cloud/Platform Engineer to support enterprise cloud and platform initiatives for the VA under T4NG2. This role focuses on building and operating secure, scalable platform services in AWS GovCloud to support cloud-native application delivery within the VA Benefits Integration Platform (BIP) / Platform One ecosystem.<br>
This position is essential to enabling the VA's transition to modern, cloud-based architectures and improving system reliability, performance, and scalability.</p><p><b>
Requirements</b>:</p><ul><li>
U.S. Citizenship is required</li><li>
Must be able to obtain a Public Trust clearance.</li><li>
This position is primarily remote; however, must be able to come on-site in Washington, DC, as required.</li></ul><p><b>
Qualifications and Experience:</b></p><ul><li>
Bachelor degree in Computer Science or related</li><li>
Minimum of five (5) years of relevant experience</li><li>
Certifications, such as AWS Solutions Architect, Azure Architect, CKA) are preferred</li><li>
Experience designing and operating AWS cloud environments (GovCloud preferred)<br>
</li><li>
Strong hands-on experience with Kubernetes (EKS or OpenShift) and container platforms<br>
</li><li>
Proficiency in Infrastructure as Code (Terraform strongly preferred)<br>
</li><li>
Experience with GitOps workflows (ArgoCD) and CI/CD tools (GitHub Actions)<br>
</li><li>
Experience building or supporting platform services for multiple development teams<br>
</li><li>
Knowledge of cloud networking, IAM, storage, and compute services<br>
</li><li>
Experience with observability and monitoring tools (Datadog, Splunk, Prometheus, CloudWatch)<br>
</li><li>
Familiarity with secrets management solutions (Vault, AWS Secrets Manager)<br>
</li><li>
Understanding of high-availability, scalability, and distributed systems design</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience supporting VA Platform One / BIP or similar federal DevSecOps platforms<br>
</li><li>
Experience implementing GitOps and declarative infrastructure patterns<br>
</li><li>
Knowledge of Zero Trust Architecture (ZTA) in federal environments<br>
</li><li>
Experience with service mesh technologies (Istio, Linkerd) (nice-to-have)<br>
</li><li>
Familiarity with container hardening standards (DoD STIGs, CIS benchmarks)<br>
</li><li>
Experience with federal cloud environments (GovCloud, Azure Government)<br>
</li><li>
Knowledge of Platform One or enterprise platform services<br>
</li><li>
Experience with hybrid cloud and multi-cloud strategies</li></ul><p><b>
Responsibilities</b></p><p><b>
Cloud ArchitecturePlatform Engineering:</b></p><ul><li>
Design and implement secure, scalable cloud architectures in AWS GovCloud (preferred) and hybrid environments</li><li>
Build and maintain Kubernetes-based platform services (EKS/OpenShift) to support multi-team workloads</li><li>
Develop and manage shared platform services (networking, ingress, service mesh, CI/CD integration points)</li><li>
Establish golden paths and reusable platform patterns to accelerate developer onboarding and delivery</li></ul><p><b>
Infrastructure as CodeAutomation:</b></p><ul><li>
Automate infrastructure provisioning using Terraform (preferred) and other IaC tools<br>
</li><li>
Implement immutable infrastructure and environment standardization practices<br>
</li><li>
Integrate infrastructure workflows with GitHub Actions and GitOps (ArgoCD)</li></ul><p><b>
ContainerApplication Platform:</b></p><ul><li>
Deploy and manage containerized workloads using Docker, Kubernetes, and Helm</li><li>
Develop and maintain Helm charts and Kubernetes manifests for standardized deployments</li><li>
Support multi-environment (dev/test/prod) Kubernetes strategies and cluster lifecycle management</li></ul><p><b>
Observability, ReliabilityPerformance:</b></p><ul><li>
Implement and maintain enterprise observability solutions (Datadog, Splunk, Prometheus, CloudWatch)</li><li>
Define and monitor SLIs/SLOs to ensure system reliability and performance</li><li>
Support high availability, scalability, and disaster recovery strategies</li></ul><p><b>
SecurityCompliance Alignment:</b></p><ul><li>
Ensure platform services align with VA security policies, Zero Trust principles, and ATO requirements<br>
</li><li>
Integrate identity, access, and secrets management (e.g., IAM, Vault, AWS Secrets Manager)<br>
</li><li>
Support continuous compliance and audit readiness in FedRAMP/FISMA High environments</li></ul><p><b>
MigrationCollaboration:</b></p><ul><li>
Support migration of legacy applications to containerized, cloud-native architectures<br>
</li><li>
Collaborate with DevSecOps, security, and development teams to enable secure application delivery<br>
</li><li>
Participate in Agile ceremonies and contribute to continuous platform improvement</li></ul><p><b>
Why This Role Matters:</b></p><p>
Cloud/Platform Engineers enable the VA's digital transformation by providing the infrastructure foundation for scalable, resilient, and modern IT services supporting millions of Veterans.</p><p><b>
Compensation and Benefits:</b></p><p>
At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job.</p><p><b><i>
Veterans First</i></b><b> Commitment:</b></p><p>
As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization.</p><p><b>
Commitment to Diversity:</b></p><p>
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.</p><p><b>
Apply Now:</b> Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!</p></div><p></p>

Cloud/Platform Engineer

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