Automation Engineer (Colorado)

Open Approach•Fort Collins, CO

7d•$110,000 - $140,000•Hybrid

About The Position

Open Approach is a values-driven, client-focused IT services company based in Burlington, Vermont. We deliver exceptional managed technology and phenomenal client support to organizations across New England and beyond. We are a fast-growing Managed Services Provider (MSP) delivering secure, compliant IT solutions to clients in regulated industries. Our team partners with businesses to design and implement IT, cybersecurity, and compliance frameworks that meet strict standards such as NIST, DFARS, and CMMC. We earn our clients’ business every month by staying relentlessly focused on their success. From the very first interaction to ongoing evolution, we aim to provide seamless experiences grounded in understanding, integrity, and practical solutions. We believe in making thoughtful, informed decisions and creating a lasting impact instead of quick fixes. This translates into long-term relationships with our clients that are rewarding on many levels. At our core, we value equity, humility, excellence, accountability, innovation, and openness. These guide everything we do, from how we collaborate internally to how we support clients through complex technical challenges. We are continually refining our team, enhancing our capabilities, and investing in talent to drive forward meaningful change. We embrace candid feedback, own our outcomes, and strive to improve every day. If that sounds like the kind of company you want to grow with, we would love to hear from you.

Requirements

5+ years of experience in IT operations and DevOps (within an MSP or similar environment is strongly preferred).
Professional coding experience (PowerShell required; Python strongly preferred, especially for AI/ML integrations and API development).
Experience working with RMM platforms, PSA/ticketing systems, Microsoft 365 / Azure, Windows Server environments.
Experience working with APIs and automation frameworks.
Strong understanding of IT infrastructure (networking, servers, cloud services).
Strong understanding of CI/CD, Git, version control, and build-to-scale mindset.
Ability to analyze workflows and identify automation opportunities.
Strong documentation and process design skills.
Ability to balance innovation with operational stability.
Hands-on experience with AI/LLM APIs (Anthropic, OpenAI, etc.) and prompt engineering for practical automation use cases.
Familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel) or demonstrated ability to build multi-step AI-driven workflows.
Demonstrated curiosity and self-direction when it comes to exploring new AI capabilities and applying them to real business problems.
At least 5+ years of technical experience is required.

Responsibilities

Identify, design, and implement automation to streamline MSP operational workflows.
Integrate and automate workflows across RMM, PSA, monitoring, ticketing, and documentation platforms.
Collaborate with Service Desk, NOC, and Engineering teams with an eye to eliminate repetitive tasks.
Develop scripts, tools, and workflows with scalability in mind to reduce manual intervention and human error.
Build and deploy AI-powered internal tools using large language model APIs (e.g., Anthropic, OpenAI) to automate decision-making, content generation, and operational triage.
Design and maintain automated workflows that can handle multi-step operational tasks such as ticket enrichment, escalation routing, and documentation generation.
Identify internal processes where AI-assisted summarization, classification, or prediction can reduce technician workload and improve response quality.
Design automated remediation for common client issues (e.g., service restarts, disk cleanup, patch failures).
Implement event-driven automation triggered by monitoring alerts.
Automate client onboarding/offboarding processes.
Leverage APIs to integrate with cloud platforms (Azure, M365, AWS, etc.).
Contribute to automation frameworks for client environments (e.g., provisioning, compliance checks, security baselines).
Design and implement AI-driven automation for ticket triage, issue categorization, root cause identification, and automated client communications.
Develop client-facing deliverables such as automated health reports, anomaly summaries, and proactive alert narratives generated from telemetry data.
Partner with client-facing teams to identify opportunities where automation can reduce ticket volume, accelerate resolution, and improve client satisfaction scores.
Evaluate and integrate AI tooling and platforms (e.g., Claude Code / Cowork, AI-enabled RMM/PSA features, third-party LLM APIs) into client automation pipelines.