Senior Lead Systems Engineer, AI & Automation

Braze•New York, NY

3d•$116,000 - $182,000

About The Position

Braze is seeking a Senior Lead Systems Engineer to build and modernize enterprise technology through software engineering, automation, AI, and intelligent integrations. The role architects scalable solutions connecting Braze’s enterprise systems and improves how employees interact with IT through conversational experiences, automation, and self-service. The engineer leads complex technical initiatives from concept through delivery, building integrations across platforms such as Slack, Okta, Workday, Atlassian, GitHub, and Google Workspace. The role partners with Security, Compliance, Infrastructure, Product, IT, and business teams to deliver reliable, scalable solutions that reduce operational overhead and improve employee experience. It contributes to enterprise platform strategy and technical roadmaps, evaluates emerging AI technologies and integration approaches, and mentors engineers on automation, integration, and software engineering practices. This position emphasizes reliability, resiliency, scalability, extensibility, governance, and operational excellence. It includes developing APIs, middleware, event-driven workflows, reusable automation frameworks, internal tooling, AI-enabled workflows, and conversational IT experiences. The role also documents architecture, implementation decisions, and operational processes in accordance with governance and compliance standards. For candidates based in the United States, the expected starting base pay range is $116,000–$182,000 per year, with expected on-target earnings of $129,000–$202,000 per year, including bonus or commission. Offers may vary based on factors including location, knowledge, skills, and experience. The position also qualifies for equity grants of restricted stock units. Braze describes its work as fostering hybrid ways of working; benefits vary by location.

Requirements

At least 8 years of experience designing enterprise-scale integrations and automation in modern SaaS environments.
Strong software engineering background, including experience building APIs, integrations, automation, or platform services.
Proficiency in one or more programming languages such as Python, Go, TypeScript, or JavaScript.
Experience with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards.
Familiarity with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, or Google Workspace, or similar SaaS ecosystems.
Ability to design scalable architectures that balance business requirements, security, and operational simplicity.
Experience collaborating across engineering, security, infrastructure, and business teams to deliver technical solutions.
Interest in using AI, automation, and software engineering to solve operational challenges.
Curiosity, collaboration, continuous improvement, and thoughtful systems design.

Nice To Haves

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.
Experience integrating Workday, Okta, Atlassian Cloud, Slack Platform, GitHub Enterprise, or Google Workspace APIs.
Familiarity with AWS, GCP, or Azure.
Experience building internal developer platforms or enterprise integration frameworks.
Experience supporting high-growth SaaS organizations with complex enterprise technology environments.

Responsibilities

Design and build intelligent automation across enterprise platforms to streamline business processes and reduce manual effort.
Develop scalable integrations, APIs, middleware, and event-driven workflows across enterprise SaaS applications.
Build conversational IT interfaces and self-service experiences that reduce dependence on ticket-based workflows and improve service delivery.
Design resilient enterprise platform architectures with attention to maintainability, extensibility, and operational excellence.
Evaluate, pilot, and implement AI technologies, large language models, MCP integrations, and agent frameworks for intelligent automation.
Build reusable automation frameworks, integration services, and internal tooling to accelerate delivery and reduce operational toil.
Partner with Security, Compliance, and Infrastructure teams to meet governance requirements and maintain operational maturity.
Document architecture, implementation decisions, and operational processes according to governance and compliance standards.
Research emerging technologies, integration capabilities, and AI advancements for potential improvements and automation opportunities.
Contribute to enterprise platform strategy and long-term technical roadmaps, provide technical leadership on complex initiatives, and mentor engineers.

Benefits

Competitive compensation that may include equity.
Retirement and Employee Stock Purchase Plans.
Flexible paid time off.
Medical, dental, vision, life, and disability benefit plans.
Fertility benefits and equal paid parental leave.
Professional development through formal career pathing, learning platforms, and a yearly learning stipend.
Curated in-office employee experience.
Volunteer opportunities, including an annual company-wide Volunteer Week and donation matching.
Employee Resource Groups.
Collaborative, transparent, and fun culture recognized as a Great Place to Work.