IT Staff Engineer, Openly

• Education: Bachelorʼs degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent practical experience
• Experience: 8+ years of experience in IT engineering, systems engineering, platform engineering, automation, DevOps, or a closely related role
• Strong experience designing and delivering internal tools, automations, or platform capabilities from idea through production
• Strong understanding of AI-enabled workflows, prompt-driven systems, agent patterns, and practical business applications of modern AI tools
• Experience integrating enterprise systems, knowledge sources, and APIs into useful internal workflows or automations
• Experience building and maintaining API-driven services, scripts, and automations using Python, JavaScript, Bash, or similar languages
• Experience with Terraform or similar infrastructure-as-code frameworks
• Experience with GitHub, Git, and modern software delivery practices
• Strong knowledge of cloud infrastructure such as GCP or AWS
• Familiarity with identity and access patterns such as OAuth2, OIDC, SAML, or equivalent enterprise authentication mechanisms
• Ability to design context-aware workflows that maintain continuity across tools and systems, including thoughtful use of MCP and related integration patterns
• Ability to troubleshoot complex issues across SaaS systems, integrations, automation layers, and cloud infrastructure
• Product thinking: Identifies high-value problems, evaluates solution options carefully, and focuses effort where AI and automation can create meaningful business impact
• Strategic thinking: Connects immediate technical work to broader architectural goals and organizational priorities
• Effective communication: Explains technical concepts clearly, facilitates crossfunctional collaboration, and creates documentation that others can use
• Innovation: Finds opportunities to simplify processes, reduce SaaS dependency, and improve employee productivity through better tooling and automation
• Dealing with ambiguity: Operates effectively in fast-moving, uncertain environments and can define structure where little exists
• Architecture: Designs systems and workflows that are scalable, secure, and maintainable over time
• Mentorship: Shares best practices openly, supports the growth of others, and raises the technical standard of the team

Desirable

• We are looking for a proactive Staff IT Engineer to lead technical enablement for Openlyʼs AI adoption program
• This role will help accelerate enterprise-wide AI usage by building practical automations, integrating AI tools with internal systems, and turning high-value business problems into reliable internal solutions
• This person will sit at the intersection of IT, security, infrastructure, and platform engineering
• The role will own and improve the technical foundations for AI enablement, including tool rollout, integration patterns, MCP connectivity, workflow automation, and the operational standards required to scale adoption safely
• The right candidate will be hands-on, product-minded, and able to move from rapid prototype to supportable internal solution
• AI solution development: Build and deploy AI-enabled tools, workflows, and internal automations that improve productivity and reduce repetitive work across the company
• Integration and enablement: Connect AI agents, tools, and automations with enterprise systems such as Okta, Google Workspace, Slack, Notion, Jira, and other applications, ensuring reliable interoperability
• MCP and platform ownership: Build, maintain, and improve MCP connections and supporting infrastructure, including standards for configuration, reliability, monitoring, and lifecycle management
• Process automation: Identify manual or fragmented workflows and design durable automation solutions using Python, Go, or no-code tools
• Office hours and intake support: Partner in weekly AI enablement sessions and help turn identified use cases into repeatable, supportable workflows, or tools
• Security and governance partnership: Work closely with Security to implement safe patterns for authentication, authorization, token handling, data protection, and production readiness for AI-enabled workflows
• Infrastructure and engineering practices: Use Terraform, cloud infrastructure, and version-controlled delivery practices to manage the systems that support internal AI enablement
• Documentation and training: Create clear documentation, reusable patterns, and technical guidance that help teams adopt AI responsibly and effectively
• Cross-functional collaboration: Partner with IT, Security, Engineering, and business teams to prioritize opportunities, collect feedback, and continuously improve solutions
• Continuous improvement: Balance quick wins with long-term maintainability, using feedback and operational data to improve quality, adoption, and scale
• Increase adoption of AI across the company through well-designed tools, integrations, and technical enablement
• Improve employee productivity by automating repetitive tasks and streamlining cross-system workflows
• Create reusable technical patterns that allow AI solutions to be delivered more quickly and safely
• Strengthen the technical foundation of Openlyʼs AI enablement program so it can scale with the business