1 день назад
Senior Lead Systems Engineer, AI & Automation
104 000 - 164 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lead Systems Engineer, AI & Automation (Enterprise Integrations): Designing and building scalable enterprise integrations, intelligent automation, and conversational self-service experiences across SaaS platforms with an accent on APIs, AI agents, and resilient architecture. Focus on implementing LLM and MCP integrations, developing event-driven workflows, and shaping enterprise platform strategy and operational governance.
Location: Austin, United States
Salary: $104,000–$164,000 per year, with expected OTE of $115,000–$182,000 per year.
Company
provides a customer engagement platform that helps brands deliver personalized, cross-channel customer experiences using data, automation, and AI.
What you will do
- Design and build intelligent automation, agentic workflows, and integrations across enterprise SaaS platforms.
- Develop APIs, middleware, webhooks, and event-driven workflows connecting Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and related systems.
- Build conversational IT and self-service experiences that reduce reliance on ticket-based workflows.
- Architect scalable, resilient, extensible enterprise platform solutions with strong operational reliability.
- Evaluate and implement emerging AI technologies, LLMs, MCP integrations, and agent frameworks.
- Lead technical initiatives, contribute to enterprise platform strategy, document architecture, and mentor engineers.
Requirements
- 8+ years of experience designing enterprise-scale integrations and automation across modern SaaS environments.
- Strong software engineering experience building APIs, integrations, automation, or platform services.
- Proficiency in Python, Go, TypeScript, or JavaScript.
- Experience with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards.
- Experience with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, or Google Workspace.
- Ability to design scalable architectures and collaborate with engineering, security, infrastructure, and business teams.
Nice to have
- Experience with AI agents, MCP integrations, LLM-powered workflows, or enterprise AI platforms.
- Experience with Terraform, infrastructure as code, cloud automation, event-driven architectures, message queues, or serverless technologies.
- Familiarity with AWS, GCP, or Azure and experience building internal developer platforms or enterprise integration frameworks.
Culture & Benefits
- Collaborative, transparent culture focused on autonomy, accountability, continuous learning, and work-life harmony.
- Equity grants, retirement and employee stock purchase plans, and flexible paid time off.
- Medical, dental, vision, life, disability, fertility, and equal paid parental leave benefits, varying by location.
- Career pathing, learning platforms, and an annual learning stipend.
- Curated in-office experiences, employee resource groups, community volunteering, and donation matching.
Hiring process
- AI-assisted tools may analyze application materials and support scheduling, interview recording, and interview-note summaries.
- Recruiting teams remain involved in hiring decisions; candidates may request information, opt out, or request manual review depending on location.
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