IT Automation & Platform Engineer - Zyte

About Us

At Zyte, we eat data for breakfast, and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data quickly, dependably, and at scale. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Role

Zyte is seeking an IT Automation & Platform Engineer with strong Business Systems and Automation experience to architect and operate the internal technology ecosystem that powers our global company.

This role goes beyond endpoint management and traditional IT support — it treats internal IT as an engineering discipline, with code-first automation as the default approach. You will design and operate the backbone of Zyte's internal SaaS platform, integrating systems like Salesforce, HubSpot, finance systems, HR platforms, engineering tools, and collaboration software into a coherent, automated architecture. You'll also play a key role in introducing AI-assisted and AI-driven workflows across the company.

Requirements & Responsibilities

Business Systems Engineering

• Administer and integrate business-critical SaaS systems (Salesforce, HubSpot, Zendesk, Intercom, Stripe, Chargebee, Atlassian, GitHub, Notion).
• Design reliable workflows and data synchronization across multiple SaaS platforms.

Engineer Internal Automation Systems

• Write automation scripts in Python, Go, or similar languages.
• Build internal CLI tools for common IT and business workflows.
• Develop small internal services that integrate the SaaS platform and build event-driven automation pipelines using APIs and webhooks.
• Develop internal bots and ChatOps integrations.

Build and Maintain SaaS Integrations

• Design and implement reliable, API-driven integrations between business systems, CRM automation, syncing data, and automating entitlement provisioning.

Introduce AI into Internal Workflows

• Identify opportunities to use modern AI technologies to automate or augment internal operations, such as AI-powered internal support assistants, LLM-driven knowledge retrieval, automated ticket triage, and AI copilots.

Design the Internal "IT Golden Path"

• Create automated, developer-friendly workflows including automated onboarding/offboarding pipelines, identity and access provisioning, and self-service automation.

IT Service Management & Operations

• Serve as the ultimate level of IT Support for end-users, delivering superior IT assistance to a global, remote workforce with a root-cause analysis and person-first philosophy.

Security & Compliance Engineering

• Ensure continuous operational adherence to established ISO frameworks.
• Implement endpoint security measures including Mobile Device Management (JumpCloud), enterprise password management, and routine access audits for Zero Trust architecture.

Professional Requirements

• 8+ years in IT Engineering, Systems Engineering, Business Systems Engineering, or Platform Engineering, including 3+ years in a senior role owning internal business systems and automation at a SaaS/tech company.
• Strong scripting and programming ability in Python, Go, Bash, and Node.js.
• Solid experience operating GCP & AWS environments (VPCs, IAM roles, EC2/S3).
• Strong experience with external APIs (REST, GraphQL, OAuth, webhooks, SaaS SDKs).
• Deep working knowledge of macOS and Linux environments.
• Experience implementing SSO / SAML / SCIM provisioning, identity lifecycle automation, and Zero Trust access models.
• Experience supporting or passing security and compliance audits (ISO 27001, SOC2, GDPR).
• Experience working in remote-first or globally distributed environments is strongly preferred.

Preferred Skills

• Experience experimenting with AI-driven automation (LLM APIs, AI copilots, semantic search, automated ticket triage).
• Familiarity with Docker/Kubernetes for running internal IT microservices.
• SRE Mindset: Experience applying SLIs/SLOs to internal IT services.

Benefits

• Total Flexibility: 100% remote work.
• Innovation Culture: Encouraged to "hacking" internal processes and automate manual tasks.
• Cutting Edge: Work with a modern, fast, and open-source-centric tech stack.