Platform Engineer – AI Integration

Work from Home – Remote within the United States Only

Must be a US Citizen with an active security clearance

@Orchard LLC is looking for a highly skilled and motivated Platform Engineer to lead the cloud and on-prem deployment implementation of multi-agent data integration products. This role is a core part of the development team and will be highly impactful in delivering the next generation of AI-driven data integration solutions, empowering organizations to utilize their data for informed decisions and more agile operations.

This is an ideal opportunity to be part of inventing a whole new class of software products. Our client’s passion is removing friction from data handling and analysis. Our client fosters an environment of growth and development, with an emphasis on opportunity, recognition, and work-life balance.

As the Platform Engineer, Your Responsibilities Include:

·        Platform deployment: building portable platform deployments for both online marketplace and fully disconnected, on-prem environments.

·        CI/CD Integration: Integrate automated tests into the CI/CD pipeline to enable continuous delivery and improve code quality.

• Collaboration: Work closely with product managers, developers, and other stakeholders to understand requirements, provide feedback, and ensure product quality throughout the software development lifecycle.
• Documentation: Create clear and concise documentation for deployment processes, especially for on-prem, disconnected environments.
• Process Improvement: Contribute to the continuous improvement of platform and DevOps processes, tools, and methodologies.

Your Background & Qualifications:

• Experience: 4+ years of Platform Engineering experience with a Bachelor's degree in Computer Science or a related field.
• Citizenship: Due to the nature of the work, U.S. Citizenship and the ability to obtain a Secret Clearance are required.
• CI/CD pipelines: Experience with CI/CD pipeline implementation, especially GitHub Actions to automate the code build, test, and deployment lifecycle.
• Cloud & Data Technologies: Expertise in cloud platforms (e.g., AWS, Azure, Google Cloud).
• Containerization: Experience with Docker artifact management across a complex microservices application.
• Container Orchestration: Experience using Helm Charts and/or Argo CD to manage multi-container deployments in both cloud and on-premises environments.
• Kubernetes Packaging & Distribution: Experience in packaging and distributing complex software products on Kubernetes, including creating deployment artifacts and distribution pipelines (not limited to running workloads).
• Marketplace deployment: Experience provisioning applications for deployment in environments like AWS Marketplace, especially more complex Kubernetes-based applications. Terraform experience is a plus.
• Security: Experience building security-hardened Kubernetes platforms for regulated or restricted environments.
• Software Development Lifecycle: Familiarity with GitOps practices and the ability to work with legacy codebases.
• Troubleshooting: Strong debugging and troubleshooting skills with a focus on system performance optimization.
• Best Practices: Experience developing platforms using industry standards and repeatable processes to maintain project timelines and budgets.
• Validation: Ability to review, test, and document platform and deployment functionality against design requirements.
• Communication: Excellent communication skills for collaborating with technical and non-technical stakeholders and capturing instructions and explanations in documents and presentations.
• Teamwork: Proven ability to work effectively in remote team environments.
• Adaptability: Commitment to continuous learning, adaptability to changing priorities, and ability to thrive in fast-paced environments.
• Problem-Solving: Strong problem-solving and analytical skills.
• Performance Testing: Experience with performance and load testing tools.

Desired Qualifications (Plus Factors):

• Advanced Degree: Master's degree or higher in a relevant field (e.g., Computer Science, Data Science).
• Observability: Grafana or similar monitoring platform deployment and dashboard building.
• Other technologies: Expertise in data integration platforms (e.g., Databricks, Oracle Data Flows, Informatica), database technologies (e.g., Postgres, Trino, SparkSQL), and search engines (e.g., ElasticSearch).
• AI/ML Systems: Experience working on deployments of AI systems, including locally provisioned/served LLM models.

Compensation: The role is expected to be compensated through a combination of base salary and incentives. The base salary will be in the range of $140-$160K, plus incentives. Other components will include a stock option plan and generous benefits.

Established in 2010, @Orchard LLC has an exceptional reputation, providing staffing solutions to time-sensitive, talent scarcity issues to deliver better talent management ROI.  Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at www.atOrchard.com.