Responsibilities
- Create intelligent automation systems that simplify and optimize business processes across enterprise platforms.
- Apply artificial intelligence, agent-based workflows, and modern integration methods to minimize manual work and boost productivity.
- Develop scalable connections between platforms such as Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS tools.
- Construct APIs, middleware components, and event-driven processes to enable smooth employee interactions.
- Improve how employees engage with IT by designing conversational interfaces and self-service tools that replace ticket-based systems and enhance service quality.
- Design robust, scalable solutions that improve interoperability and coordination among enterprise platforms.
- Assess architectural choices with a focus on long-term sustainability, adaptability, and operational excellence.
- Test and deploy emerging AI technologies, large language models, MCP integrations, and agent frameworks while defining responsible usage practices.
- Develop reusable automation frameworks and internal tools that speed up delivery and reduce maintenance effort.
- Collaborate with Security, Compliance, and Infrastructure teams to ensure solutions meet governance standards while remaining scalable and simple.
- Document system architectures, implementation choices, and operational procedures in line with compliance requirements.
- Stay current with new technologies, integration methods, and AI developments to identify opportunities for improved scalability and automation.
- Support the development of enterprise platform strategy and long-term technical planning.
- Lead technically complex projects and guide engineers in automation, integration, and software engineering best practices.
Requirements
- Minimum of 8 years of experience building enterprise-level integrations and automation in modern SaaS environments
- Solid background in software engineering with proven work in APIs, integrations, automation, or platform services
- Proficiency in at least one programming language such as Python, Go, TypeScript, or JavaScript
- Hands-on experience with REST APIs, webhooks, OAuth, SCIM, GraphQL, and current authentication protocols
- Knowledge of enterprise systems like Okta, Workday, Slack, Atlassian, GitHub, Google Workspace, or equivalent SaaS platforms
- Ability to design scalable architectures that align business needs with security and operational simplicity
- Experience working across engineering, security, infrastructure, and business units to deliver effective technical solutions
- Strong interest in using AI, automation, and software engineering to solve operational problems
- Inquisitive, team-oriented mindset with a drive for continuous improvement and thoughtful system design
Nice to Have
- Experience building AI agents, MCP integrations, LLM-driven workflows, or enterprise AI platforms
- Familiarity with Terraform, Infrastructure as Code, or cloud automation tools
- Background in event-driven systems, message queues, or serverless architectures
- Hands-on work integrating APIs from Workday, Okta, Atlassian Cloud, Slack Platform, GitHub Enterprise, or Google Workspace
- Knowledge of cloud platforms including AWS, GCP, or Azure
- Experience creating internal developer platforms or enterprise integration frameworks
- Experience supporting fast-growing SaaS companies with complex technology ecosystems
Work Arrangement
Remote (Worldwide)
