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Voyager Technologies

Vertical-integrated space and defense company

Automation Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$160k - $180k

About the Job

Requirements

  • Expert-level Python for scripting, automation, API integrations, and AI/ML libraries.
  • Expert-level PowerShell for infrastructure automation, Microsoft ecosystem scripting, and task scheduling.
  • Bash or shell scripting for Linux and cross-platform automation tasks.
  • REST API development and consumption, including JSON, OAuth, and webhook integrations.
  • Experience with AI agentic frameworks such as LangChain, AutoGen, Semantic Kernel, or CrewAI; AI platforms such as Azure OpenAI Service, OpenAI API, Anthropic API, or Hugging Face; prompt engineering, retrieval-augmented generation, tool use/function calling, multi-agent coordination, memory and state management; vector databases, embedding models, and LLM evaluation frameworks.
  • Apache Airflow, Azure Logic Apps, Power Automate, Microsoft Power Platform, and RPA tooling such as UiPath, Automation Anywhere, or Power Automate Desktop.
  • Event-driven architecture using Azure Event Grid, Azure Service Bus, or webhooks.
  • Terraform and AWS CloudFormation.
  • CI/CD tools including Azure DevOps Pipelines and GitHub Actions; Docker, Kubernetes (AKS) basics; and Git branching models, access management, and code review workflows.
  • Azure Government and Microsoft 365 technologies including Azure Functions, Logic Apps, Azure Automation, Graph API, and GCC High; AWS GovCloud services including Lambda, Step Functions, EventBridge, S3, and Systems Manager.
  • Identity and access integrations including Entra ID (Azure AD), SCIM, OAuth 2.0, and SAML.
  • Azure Monitor, Log Analytics, Application Insights, structured logging, alerting pipelines, dashboard development, self-healing automation patterns, and failure-mode design.
  • 12+ years of experience in automation engineering, DevOps, systems engineering, or a closely related discipline.
  • Demonstrated experience building and operating production-grade automation solutions at enterprise scale.
  • Hands-on experience designing or deploying AI-powered or agentic workflows in a professional setting.
  • Must be a U.S. Person as defined under ITAR/EAR and eligible to obtain required export authorizations.
  • Must comply with applicable data-handling and export-control policies.
  • Occasional after-hours availability for deployment windows and incident response.
  • Active participation in sprint-based delivery against a defined automation roadmap.
  • Ability to explain automation capabilities and limitations to non-technical stakeholders.
  • Detail-oriented documentation habits, treating automation artifacts as production software.

Responsibilities

  • Identify, design, and implement automation solutions for repetitive IT and business processes across the organization.
  • Build and maintain Python and PowerShell automation scripts and workflows for infrastructure management, data movement, reporting, and operational tasks.
  • Develop and manage robotic process automation workflows for business process automation where applicable.
  • Integrate automation solutions with Microsoft 365, Azure, and third-party SaaS applications through APIs and connectors.
  • Document automation solutions, including design rationale, dependencies, failure modes, and runbooks.
  • Lead evaluation and adoption of AI-powered automation tools, agentic frameworks, and large language model integrations.
  • Design and deploy agentic workflows that enable systems to reason, plan, and execute multi-step tasks autonomously.
  • Integrate AI capabilities into operational workflows to reduce manual decision-making and accelerate throughput.
  • Collaborate with business stakeholders to identify high-value AI automation opportunities and translate them into production-ready solutions.
  • Evaluate and recommend AI tooling, platforms, and vendors in line with organizational security and compliance requirements.
  • Stay current on emerging agentic AI patterns, model capabilities, and automation frameworks, and bring new approaches to the team.
  • Design and manage end-to-end workflow orchestration using Apache Airflow, Azure Logic Apps, Power Automate, or similar platforms.
  • Build API integrations and event-driven automation pipelines across cloud and on-premises systems.
  • Implement error handling, retry logic, alerting, and observability for automated workflows.
  • Maintain and extend automation libraries and reusable components across teams.
  • Automate infrastructure provisioning and configuration management using Terraform, Ansible, and CloudFormation.
  • Build and maintain CI/CD pipelines for automated testing and deployment of automation artifacts.
  • Develop self-service automation tooling that enables non-engineers to trigger and monitor complex workflows safely.
  • Support cloud operations automation across Azure Government and AWS GovCloud environments.
  • Monitor automation health, execution logs, and failure rates; implement proactive alerting and self-healing where possible.
  • Perform root cause analysis on automation failures and implement durable fixes.
  • Evaluate and optimize automation for performance, reliability, and maintainability.
  • Serve as a subject matter expert on automation best practices across the Data & Analytics Division.
  • Partner with IT, data, cybersecurity, and business operations teams to identify and prioritize automation opportunities.
  • Create and maintain documentation for automation solutions, including architecture diagrams, user guides, and compliance evidence.
  • Participate in sprint planning, architecture reviews, and cross-functional working groups.
  • Mentor team members on automation patterns, scripting best practices, and AI tooling adoption.

Desired Qualifications

  • Experience working in regulated or compliance-driven environments.
  • Ansible for configuration management and environment automation.
  • Microsoft Certified: Power Platform Developer Associate (PL-400).
  • Microsoft Certified: Azure AI Cloud Developer Associate (AI-200).
  • Microsoft Certified: Azure Solutions Architect Expert.
  • HashiCorp Certified: Terraform Associate.
  • AWS Certified Developer – Associate.
  • CompTIA Security+ for environments with compliance requirements.

About the Company

Voyager Technologies

Vertical-integrated space and defense company

Voyager Technologies provides space and defense tech through an integrated, end-to-end platform. It operates in Defense & National Security, Space Solutions, and Starlab Space Stations, earning revenue mainly from U.S. government contracts while acquiring specialized firms to control more of the value chain. Its flagship project, Starlab, is a commercial Low-Earth Orbit space station developed with Airbus for researchers, agencies, and commercial users and deployable on a SpaceX Starship; it also builds on-orbit infrastructure like the Bishop Airlock and lunar capabilities via Astrobotic acquisitions. The company aims to grow a commercial space economy through vertical integration and long-term capital, offering mission planning, payload integration, launch support, and operations end-to-end.

Company size
201-500
Company stage
IPO
Headquarters
Denver, CO
Founded
2019

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