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The purpose of this role is to replace manual, process heavy workflows with scalable automation and AI powered systems that improve reliability and efficiency across Technology teams.
Job Responsibility:
Design software-based automation and AI driven systems that improve efficiency, reliability, and scalability of IT and internal platforms
Build internal tools, services, and integrations using APIs, event driven systems, and CI/CD practices
Automate operational workflows using AI and LLM technologies to support decision making and incident analysis
Improve system reliability by turning incident trends and operational pain points into durable automation
Reduce recurring production and internal application issues through structured engineering solutions
Strengthen engineering standards across IT automation through version control, testing, documentation, and observability
Influence teams to adopt software engineering approaches instead of manual or ticket-based models
Maintain internal applications through participation in a business hour on call rotation and use operational insights to drive continuous improvement
Deliver solutions that meet governance, privacy, and reliability standards in collaboration with Security, Compliance, Platform, and Business Systems teams
Requirements:
6 plus years of experience in software engineering, automation, platform engineering, or related roles
Strong foundation in software engineering principles including code quality, testing, and maintainability
Proficiency in Python, JavaScript, Go, or similar languages used for automation and internal tooling
Hands on experience building and operating production systems or internal tools
Demonstrated experience applying AI or LLM based solutions in real world production environments
Background in SRE, DevOps, Platform Engineering, or IT automation with experience operating systems at scale
Experience using AI assisted development tools such as Cursor, GitHub Copilot, Claude Code, or similar tools
Solid understanding of IT systems, enterprise environments, and service management processes
Experience participating in on call rotations and supporting production or internal applications
Strong communication skills with the ability to influence teams across different technical backgrounds
Nice to have:
Experience with cloud platforms such as AWS or enterprise productivity ecosystems such as Microsoft 365, including Power Automate and Graph APIs
Familiarity with infrastructure as code, CI/CD pipelines, or internal developer tooling
Exposure to identity and access management or zero trust networking solutions such as Twingate
Experience with monitoring, observability, logging, or operational data systems