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Rackner

DevSecOps and AI for cloud-native edge

Software Automation & Platform Engineer - Federal Health IT

Enterprise ApplicationsPosted on Nov 8
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 4 years of professional software engineering or platform engineering experience.
  • Hands-on experience developing automation with ServiceNow Flow Designer and Integration Hub.
  • Experience with GitLab CI/CD and infrastructure as code.
  • Experience developing or implementing REST API integrations.
  • Eligibility for a Tier 3 federal background investigation.

Responsibilities

  • Evaluate automation opportunities using service data, operational trends, and stakeholder input, and maintain a prioritized automation backlog that supports informed decisions and measurable service improvements.
  • Build, test, and enhance ServiceNow workflows using Flow Designer and Integration Hub, including request catalogs, role templates, and self-service forms that streamline service delivery.
  • Develop and maintain REST API integrations that connect ServiceNow with approved enterprise systems, enabling reliable data exchange and coordinated workflows.
  • Engineer and optimize GitLab CI/CD pipelines and infrastructure-as-code solutions, incorporating automated testing, quality checks, and security practices to strengthen software delivery.
  • Integrate approved AI-assistant capabilities with ServiceNow case creation and authorized knowledge resources while operating within applicable security and operational requirements.
  • Validate automation and integration changes, diagnose technical issues, and implement improvements that increase reliability, maintainability, and operational performance.
  • Execute controlled releases and limited pilots in coordination with authorized stakeholders, measure results against approved requirements, and support troubleshooting or rollback when necessary.

Desired Qualifications

  • ServiceNow Certified Application Developer (CAD) certification.
  • Experience with Microsoft Power Platform.
  • Experience developing or integrating AI-assisted workflows, including large language model (LLM) or retrieval-augmented generation (RAG) capabilities, in security-controlled environments.
  • Experience supporting software automation, platform engineering, or enterprise integrations within federal technology or similarly regulated environments.

About the Company

Rackner

DevSecOps and AI for cloud-native edge

Rackner provides services that blend DevSecOps with artificial intelligence to help organizations run workloads in the datacenter, public and private clouds, and at the edge. Its offerings center on automating secure software delivery (devsecops), building cloud-native and hybrid-cloud applications, and extending compute to edge environments using technologies like Kubernetes and WebAssembly. The company supports both fast-growing startups and federal agencies, including Civilian and Defense sectors, and differentiates itself through its deep focus on security, cloud-native architecture, edge computing, and AI/ML capabilities, along with its status as a Cloud Native Computing Foundation member, Kubernetes Certified Service Provider, and partner to major cloud providers. Rackner’s goal is to help customers deliver scalable, secure, and efficient software and AI-powered applications across on-premises, cloud, and edge environments.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Washington DC, District of Columbia
Founded
2015

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