Description
At Braze, we're a customer engagement platform that empowers brands to deliver great customer experiences. We're seeking a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent integrations.
In this role, you'll architect scalable solutions that connect the systems powering Braze while helping redefine how employees interact with IT through conversational experiences, automation, and self-service. You'll lead complex technical initiatives from concept through delivery, building integrations that span platforms such as Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other critical business systems.
Your responsibilities will include:
- Designing and building intelligent automation that streamlines business processes across enterprise platforms
- Developing scalable integrations across platforms including Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS applications
- Building conversational interfaces and self-service experiences that reduce reliance on traditional ticket-based workflows
- Designing scalable, resilient solutions that improve how enterprise platforms communicate and operate together
- Evaluating, piloting, and implementing emerging AI technologies, large language models, MCP integrations, and agent frameworks
- Building reusable automation frameworks, integration services, and internal tooling that accelerate delivery and reduce operational toil
- Partnering with Security, Compliance, and Infrastructure teams to ensure enterprise solutions meet governance requirements
- Continuously researching emerging technologies, integration capabilities, and AI advancements that can improve scalability and create new opportunities for automation
Requirements:
- 8+ years of experience designing enterprise-scale integrations and automation across modern SaaS environments
- Strong software engineering background with experience building APIs, integrations, automation, or platform services
- Proficient in one or more programming languages such as Python, Go, TypeScript, or JavaScript
- Experienced working with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards
- Familiar with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, Google Workspace, or similar SaaS ecosystems
Nice to have:
- Experience implementing AI agents, MCP integrations, LLM-powered workflows, or enterprise AI platforms
- Experience with Terraform, Infrastructure as Code, or cloud automation tooling
- Experience with event-driven architectures, message queues, or serverless technologies
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $116,000 and $182,000/year with an expected On Target Earnings (OTE) between $129,000 and $202,000/year.