platform engineer

Defense Unicorns

<div><h1 class="jobSectionHeader"><b>EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE AN ACTIVE SECRET CLEARANCE TO APPLY.</b><br>
</h1>
<h2 class="jobSectionHeader"><b>Role Description</b></h2>
<p>
We are seeking a talented and experienced Platform Engineer to join our team. Possessing strong proficiency with Kubernetes, the ideal candidate will play a crucial role in the development and maintenance of our platform, demonstrating a strong understanding of system architecture, problem-solving skills, and the ability to guide junior engineers.</p>
<p>
As a Platform Engineer within our organization, you will join a team of dedicated unicorns who are focused on advancing freedom and independence globally. Our teams work on various different technical baselines depending on specific engagements. We focus our Products on the Platform layer, but to deliver for our Heroes, we also work IaC automation, security, and implementation.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<p>
You will help us automate and build a runtime Production Environment and serve as a link between the Applications, either custom development, COTS, or OSS, and that environment, advocating best practices and facilitating communication between the application teams and platform teams.</p>
<p>
In this position, you will be expected to:</p>
<ul>
<li><b>Validate Solutions/Implementations:</b> Ensure that solutions and implementations align with the outlined tasks and business requirements. Conduct thorough validations to maintain the integrity and efficiency of the platform.</li>
<li><b>Independently Problem Solve: </b>Demonstrate the ability to identify and solve business problems independently. Develop small components to address specific challenges without relying on explicit architecture diagrams.</li>
<li><b>Understand Medium-Level Tasking:</b> Comprehend how medium-level tasks contribute to the achievement of overall goals. Collaborate with cross-functional teams to integrate various components into a cohesive and functional platform.</li>
<li><b>Estimate Time and Effort: </b>Provide accurate time and effort estimates for medium-sized tasks. Assist in project planning and resource allocation based on estimated timelines.</li>
<li><b>Demonstrate Programming Language Proficiency:</b> Possess familiarity with at least one programming language. Exhibit a basic understanding of when to use a programming language versus a shell for efficient task execution.</li>
</ul><h1 class="jobSectionHeader"><b>Own the bridge between the Application Development team(s) and the Production Environment</b></h1>
<p><b>
Travel Expectations:</b> 10%-25%</p>
<p><b>
The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise.</b></p>
<h2 class="jobSectionHeader"><b>
Preferred Experience and Qualifications:</b></h2>
<ul><li>Proven experience as a Platform Engineer or similar role, with a focus on system architecture and development.</li>
<li>Demonstrated experience with cloud-native technologies such as Kubernetes, Google Cloud, and Docker.</li>
<li>Familiarity with continuous delivery, distributed architectures, systems, everything-as-code, containerization, and cloud services.</li>
<li>Proficiency in at least one programming language (e.g., Python, Go, Ansible) and a basic understanding of shell scripting.</li>
<li>Proficient with YAML.</li>
<li>Experienced in working on a team following an Agile framework in a remote environment.</li>
<li>Strong problem-solving skills and the ability to work independently.</li>
<li>Excellent communication skills and the ability to collaborate effectively with cross-functional teams.</li>
<li>Experience with security automation and familiarity with API Security, Container Security, and Cloud Security.</li>
<li>Familiar with architecture security design, monitoring, and performance instrumentation in a complex enterprise environment.</li>
<li>Comfort with debugging systems and reading/writing code.</li>
<li>Hold a Secret clearance to apply for a security clearance.</li>
<li>Possess a DoD 8570 IAT II certification.</li>
<li>Experienced in Department of Defense work, specifically working on a production Authority to Operate (ATO'd) system.</li>
<li>Knowledgeable about DevSecOps/DevOps and CI/CD theory.</li>
</ul>
<p><b>Senior Platform Engineer: $148,750 - $201,250</b></p><div><h3 class="jobSectionHeader"><b><br>
Who We Are</b></h3>
<p>
Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.</p>
<h3 class="jobSectionHeader"><b>
What We Do</b></h3>
<p>
We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily.</p>
<h3 class="jobSectionHeader"><b>
Who We Serve</b></h3>
<p>
Defense Unicorns' customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products.</p>
<h3 class="jobSectionHeader"><b>
What We Work On</b></h3>
<ul><li>Kubernetes</li>
<li>Cloud Environments (AWS/GCP and Azure)</li>
<li>Infrastructure-as-code (like Terraform/Pulumi)</li>
<li>Continuous Delivery and automation tooling</li>
<li>GitOps</li>
<li>Containers</li>
<li>CNCF projects and open source products and packages</li>
<li>Helm/Kustomize-Value Stream Mapping</li>
<li>Building and improving security delivery</li>
<li>Building Kubernetes and cloud native applications</li>
</ul><h3 class="jobSectionHeader"><b>Benefits Our Unicorns Enjoy</b></h3>
<h4 class="jobSectionHeader"><b>Health:</b></h4>
<ul><li>Medical/Dental/Vision</li>
<li>Premiums are 100% Company Paid</li>
<li>Health Reimbursement Account</li>
<li>Life Insurance</li>
<li>Disability Insurance</li>
</ul><h4 class="jobSectionHeader"><b>Financial:</b></h4>
<ul><li>401k Retirement Plan</li>
<li>Company Stock Options</li>
<li>Home Office Budget</li>
</ul><h4 class="jobSectionHeader"><b>Leave:</b></h4>
<ul><li>We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year's</li>
<li>Paid Parental Leave</li>
</ul><h4 class="jobSectionHeader"><b>Learning:</b></h4>
<ul><li>Reimbursement for approved trainings/subscriptions</li>
<li>Conferences (travel, lodging, and fees)</li>
</ul>
<p><i>Don't have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed.</i></p>
<p><i>
At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</i></p>
<p><b>
CCPA DISCLOSURE</b></p></div></div>

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 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

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>

BlackStone eIT

<div><p>BlackStone eIT is looking for a skilled <b>Data Platform Engineer</b> to join our dynamic team. You will be responsible for designing, building, and maintaining scalable data platforms that support the company&rsquo;s data processing and analytics needs.</p><p>
In this role, you will collaborate with data engineers, analysts, and other stakeholders to develop efficient data pipelines, ensure data quality, and contribute to the overall data infrastructure architecture. This is a fantastic opportunity to advance your career by working with cutting-edge technologies and helping shape BlackStone eIT&rsquo;s data capabilities.</p><p></p>
Key Responsibilities<p>
Required Skills &amp; Technologies</p><ul><li>Python &mdash; async data pipelines, background jobs, scripting</li><li>PostgreSQL &mdash; schema design, migrations (Alembic), query optimization</li><li>Azure Data Lake Storage + Synapse Analytics</li><li>dbt &mdash; transformation, testing, documentation</li><li>Apache Airflow or Azure Data Factory</li><li>Data quality frameworks (Great Expectations, dbt tests, or custom)</li><li>Observability &mdash; structured logging, alerting, Azure Monitor or Prometheus/Grafana</li><li>Microsoft Graph API &mdash; SharePoint, M365 data extraction</li><li>Redis &mdash; queue management, caching</li><li>Docker &mdash; containerized pipeline jobs</li><li>SQL &mdash; advanced analytical queries, window functions, performance tuning</li></ul><ul><li>
Develop and maintain data pipelines for ingestion, processing, and storage of large datasets</li><li>
Implement ETL/ELT processes to transform raw data into usable formats</li><li>
Collaborate with cross-functional teams to understand data requirements and deliver solutions</li><li>
Ensure data quality, consistency, and reliability across platforms</li><li>
Optimize database performance and monitor platform health</li><li>
Assist in the design and implementation of data governance and security measures</li><li>
Document data infrastructure and processes for operational clarity</li></ul><br>
<b>
Requirements</b><br>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field</li>
<li>3+ years of experience in data engineering or data platform development</li>
<li>Proficiency in SQL and experience with relational databases like PostgreSQL or MySQL</li>
<li>Familiarity with data pipeline and ETL tools such as Apache Airflow, Azure Data Factory, or similar</li>
<li>Experience with cloud platforms (AWS, Azure, or Google Cloud)</li>
<li>Knowledge of Python or another programming/scripting language for data processing</li>
<li>Understanding of data security, governance, and quality best practices</li>
<li>Strong analytical and problem-solving skills</li>
<li>Good communication skills and ability to work effectively in a team environment</li><br>
</ul><br>
<br>
<b>Benefits</b><br>
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

Data Platform Engineer

Aspire, Jordan

<div>
 <p>
  We are looking for
  <strong>
   AI Platform Engineers
  </strong>
  to build and maintain core LLM-powered services and APIs to power the next generation of online learning tools. On this team, you&rsquo;ll design and implement services and infrastructure that will allow our feature teams to rapidly develop and deploy LLM-powered features that improve the teaching and learning experience of tens of millions of people around the world while maintaining our high standards for performance, security, and reliability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <p>
  Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from our product teams;
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  Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing;
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  Create developer tooling and documentation that makes integration with your services intuitive and easy;
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  Establish best practices for AI and LLM use at Instructure, considering things like auditability, cost, and performance;
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  Collaborate with feature teams to understand their needs and solve them with platform capabilities;
 </p>
 <p>
  Design, develop, and maintain scalable and performant APIs;
 </p>
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  Write clean, maintainable, and well-documented code;
 </p>
 <p>
  Participate in code reviews and provide and receive constructive feedback
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <p>
  <strong>
   What You&rsquo;ll Need
  </strong>
 </p>
 <ul>
  <li>
   Prior software engineering experience with API design and distributed system development;
  </li>
  <li>
   Strong experience building backend services and REST or GraphQL APIs;
  </li>
  <li>
   Knowledge of API design best practices around security, performance monitoring, rate limiting, and more;
  </li>
  <li>
   Understanding of LLM integration and usage patterns;
  </li>
  <li>
   Strong collaboration and written and verbal communication skills;
  </li>
  <li>
   Past experience with cloud infrastructure, preferably on AWS;
  </li>
  <li>
   Experience with Node.js or a desire to learn;
  </li>
  <li>
   Experience with TypeScript or a desire to learn;
  </li>
  <li>
   Background in developer tooling and API documentation is preferred.
  </li>
 </ul>
 <p>
 </p>
</div>


gelato

<div><h2 class="jobSectionHeader"><b>About Gelato</b></h2><p>
Gelato has created the world&rsquo;s largest global network for on-demand production of custom products &ndash; from t-shirts and mugs to books and wall art. We empower a new generation of ecommerce entrepreneurs to share their creativity worldwide while embracing local, sustainable production. By producing locally and perfectly matching supply with demand, we eliminate waste and reduce carbon emissions.</p><p>
At Gelato, we don&rsquo;t own production facilities &ndash; we build the software that connects them. With over 140 production partners in 32 countries, our network can deliver custom products to five billion people in just 72 hours. It&rsquo;s smarter, faster, and greener.</p><p>
With GelatoConnect, our SaaS platform, we&rsquo;re driving innovation in print production. GelatoConnect simplifies operations for print producers by automating procurement, workflows, and logistics into one seamless system. By boosting efficiency and cutting costs, it helps businesses scale to meet market demands. With GelatoConnect, we&rsquo;re reshaping the print industry to be more efficient, sustainable, and profitable.</p><p></p><h2 class="jobSectionHeader"><b>
Platform</b></h2><p><b>
Gelato </b>is an <b>AI-first</b>, cloud-native platform transforming local, on-demand production and delivery &mdash; with zero physical assets. We power:</p><ul><li><p><b>
Global production orchestration</b>: connecting e-commerce customers to 130+ partners across 32 countries. From AI-guided plate design to smart routing and logistics, we deliver to over 5 billion people in under 72 hours&mdash;faster, greener, smarter.</p></li><li><p><b>
GelatoConnect</b>: our AI-driven print production OS that helps producers master digital printing &mdash; from inventory to shipping &mdash; by automating every step: procurement, prepress, printing, packaging, and dispatch. It&rsquo;s machine-agnostic, real-time, and built for uptime, precision, and profitability.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
AI at the Core</b></h2><p>
We are not just early adopters of AI &mdash; we&rsquo;re <b>AI-native builders</b>. Across engineering, product, and operations, we embrace AI to accelerate innovation:</p><ul><li><p><b>
AI-first development</b> using LLMs for code generation, testing, documentation, and design exploration.</p></li><li><p><b>
Autonomous AI agents</b> driving platform resilience, observability, cost control, and internal workflow automation.</p></li><li><p><b>
AI-native product features</b> built into GelatoConnect and the core platform &mdash; improving routing, personalization, and production optimization.</p></li><li><p>
A culture of <b>continuous experimentation</b> with RAG, agent orchestration, prompt engineering, and model fine-tuning.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li><p>
Own and evolve <b>Gelato's Internal Developer Platform</b> as a product &mdash; designing golden paths and self-service capabilities for engineering teams.</p></li><li><p>
Manage and optimize <b>multi-cloud infrastructure</b> (<b>AWS</b> primary), including <b>Kubernetes</b>, networking, and <b>FinOps</b>.</p></li><li><p>
Deliver and maintain <b>CI/CD pipelines</b> (ArgoCD, Helm, CircleCI), <b>GitOps</b> workflows, and <b>Infrastructure as Code</b> (Terraform).</p></li><li><p>
Ensure platform reliability through on-call support, incident response, and observability.</p></li><li><p>
Build and operate <b>AI agents</b> and <b>LLM-driven automation</b> as a core part of platform operations.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li><p>
Deep hands-on experience with <b>AWS</b> (EKS, IAM, VPC, S3, networking) and <b>Kubernetes</b> internals.</p></li><li><p>
Strong <b>IaC</b> skills (Terraform) and <b>GitOps</b> experience (ArgoCD).</p></li><li><p>
Solid <b>Linux fundamentals</b> and <b>cloud-native troubleshooting</b> ability.</p></li><li><p>
AI-native engineering mindset &mdash; you use <b>AI agents</b> and <b>LLM tools</b> daily as your core workflow.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Good to have</b></h2><ul><li><p>
Experience with <b>GCP</b> or <b>multi-cloud</b> strategies.</p></li><li><p>
Ability to read, write, and review <b>code</b> &mdash; leveraging AI tools to move fast across stacks.</p></li><li><p>
Familiarity with <b>developer platform tooling</b> (Backstage, service catalogs).</p></li><li><p>
Experience with <b>shift-left security</b> or <b>policy-as-code</b> practices.</p></li><li><p>
Hands-on experience building <b>agentic systems</b> for infrastructure automation.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What it&rsquo;s like to work at Gelato</b></h2><p>
We are a customer-obsessed team with the ambition to change the world by connecting technology to the printing industry and making it much more sustainable. Everyone who joins our team must feel genuinely intrigued and motivated by our mission. We expect a lot. We are a driven team with big goals, so we seek individuals who are genuinely passionate about their work and possess an entrepreneurial spirit. Our culture is unique and we live by our values, so it's worth learning more about our culture and how we work before presenting your application.</p><p>
At Gelato, we pride ourselves on our global presence with 14 offices worldwide, fostering a dynamic and diverse work environment. Rooted in a culture that values collaboration, creativity, and camaraderie, we actively cultivate a company culture that thrives on shared experiences. We encourage team members to embrace this culture by working from our inspiring office spaces at least three days a week, allowing for meaningful connections and collective growth.</p><p>
Lastly, we ask that you please upload your CV in <b>English</b>, regardless of which country you are applying from.</p></div>

Senior Platform Engineer

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