Technology Specialist

ABC Legal Services•Longmont, CO

3d•$65,000 - $75,000•Onsite

About The Position

Docketly, a subsidiary of ABC Legal Services, is a technology-driven company focused on streamlining legal operations through automation and AI-powered tooling. Our Projects team builds and maintains the internal systems that keep our operations running, and we’re looking for a technically sharp, reliable specialist to join that team in Longmont, CO. The Docketly Technology Specialist is a key member of the Projects team, responsible for building, maintaining, and improving the internal automation tools and AI-powered systems that support Docketly’s operations. We are looking for someone who approaches problems with an AI-first mindset, reaches for data before assumptions, and uses automation to eliminate friction before asking engineering to build something new. This role bridges the gap between the Projects/Operations team and Engineering, translating operational needs into technical solutions and ensuring those systems are reliable, well-documented, and continuously improving. This is an in-office, hands-on role. You will work directly alongside the Projects team and collaborate closely with Engineering on sprint cycles, QA testing, and tooling improvements. We’re looking for someone who takes ownership, communicates proactively, and shows up consistently.

Requirements

2–4 years of experience in a technical operations, automation, or systems specialist role
Hands-on experience designing or improving automation workflows to reduce manual operational effort
Working knowledge of SQL; comfortable querying data to answer operational questions and support decision-making
An AI-first problem-solving approach; you actively use AI tools to research, prototype, and improve your work rather than treating them as optional
Strong analytical and troubleshooting skills with a methodical approach to problem solving
Excellent written and verbal communication; you document your work and keep the team informed
Proficiency with project tracking tools (e.g., Jira) and basic API concepts
Dependable and accountable; you show up, follow through, and communicate proactively when things change

Nice To Haves

Experience working alongside engineering teams in a non-developer capacity (technical bridge role)
Hands-on experience with prompt engineering, AI workflow design, or building automation with AI/LLM APIs
Exposure to REST APIs or lightweight scripting to support automation tasks
Experience writing or maintaining technical documentation for internal teams
Associate or bachelor’s degree in information technology, Computer Science, Business Operations, or a related field

Responsibilities

Manage and maintain internal automation tools, configurations, and integrations
Monitor tool performance and proactively identify and resolve system issues
Use data and AI tools to diagnose operational problems, surface patterns, and inform decisions about what to build or improve next
Serve as a Tier 2 escalation point for the ops team on automation tool behavior and system questions
Participate in QA testing cycles for automation tool releases, updates, and new feature deployments
Develop and maintain clear internal documentation for automation systems, tool configurations, and operational workflows
Support onboarding of internal team members to new tools and updated system capabilities
Partner with team members across departments to ensure tools are understood, adopted, and used effectively
Support configuration and maintenance of integrations between internal systems, AI tooling, and third-party APIs
Collaborate with Engineering to scope, test, and deploy integration improvements and new automation features
Identify, scope, and own automation opportunities that reduce manual operational effort across the team
Serve as a point of contact between the Projects team and Engineering on automation and tooling initiatives
Contribute to sprint planning, backlog refinement, and roadmap discussions
Translate operational pain points into clear, actionable technical requirements for the Engineering team