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Matillion

AI-powered data pipeline management platform

Senior IT Systems Engineer

System AdministrationConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaHybrid

About the Job

Requirements

  • Deep technical expertise in engineering, administering, and automating cloud-based and physical IT infrastructure, including Okta or a similar identity provider, Google Workspace, Atlassian Suite, Zoom, Slack, Jamf for macOS/iOS, and Intune for Windows/Android.
  • A proven track record of proactively identifying and eliminating technical friction by engineering automated solutions beyond simple ticket resolution.
  • Strong experience with no-code automation tools such as n8n, Zapier, or Workato, or scripting such as Python or GAM, to build and maintain efficient workflows.
  • Demonstrated experience in technical mentorship and the capability to act as a technical authority and guide.
  • Understanding of user lifecycle processes, including onboarding and offboarding, and compliance management, with direct experience automating these workflows.
  • Experience managing vendor relationships and acting as the final point of escalation for complex technical issues.
  • Proficiency in incident and problem management, focusing on root cause analysis and engineering permanent fixes.
  • Experience leading technical projects and managing initiatives from conception to completion.
  • The ability to work one-on-one with users and within a support team.
  • The ability to understand technical issues and provide clear, unambiguous feedback.
  • The ability to solve problems in a fast-paced environment.
  • The ability to manage multiple tasks and projects simultaneously and deliver high-quality results in a timely manner.

Responsibilities

  • Act as the final technical authority and escalation point for complex issues related to core systems and processes.
  • Automate manual processes across systems, particularly user lifecycle management for onboarding and offboarding, using no-code tools and scripting.
  • Own the technical delivery and stability of company-wide events such as All Hands hosted on Zoom.
  • Collaborate with internal teams, including People & Culture and Security, to reduce friction in business processes and re-engineer workflows for speed and efficiency.
  • Analyze support ticket trends to identify and eliminate classes of service requests through automation or system improvements.
  • Own and automate monitoring of hardware and SaaS compliance to ensure systems align with business and security standards.
  • Maintain and build a knowledge base documenting system architecture, processes, and automation workflows.
  • Provide technical leadership, mentorship, and guidance on engineering best practices as the core IT representative in the office.
  • Act as the primary technical lead for incidents impacting core systems and serve as Incident Commander when required.
  • Own the problem management lifecycle by identifying recurring incidents, performing root cause analysis, and engineering permanent solutions.
  • Lead and participate in IT improvement projects, focusing on strategic automation initiatives.
  • Prioritize and manage multiple engineering projects and competing priorities.

Desired Qualifications

  • Experience acting as an Incident Commander is highly desirable.
  • Relevant certifications in cloud platforms such as GCP or Azure, Identity such as Okta, or key SaaS products are a plus.

About the Company

Matillion

AI-powered data pipeline management platform

Matillion builds a data management platform that helps data teams build, manage, and orchestrate data pipelines. The platform supports moving, transforming, and orchestrating data from many sources using a library of hundreds of connectors, with both no-code and code-based options (SQL, Python, dbt). AI features integrate large language models into pipelines and automatically generate documentation to boost data literacy. Pricing is usage-based, so clients pay for what they use, enabling easy scaling as needs grow. Matillion differentiates itself by its AI-enabled pipeline automation, a unified view that covers no-code to code workflows, and a broad connector ecosystem. The company aims to boost data team productivity by making data pipelines faster to build and easier to manage, while improving data literacy across the organization.

Company size
201-500
Company stage
Series E
Total funding
$309.4M
Headquarters
Salford, United Kingdom
Founded
2010

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