Technical Operations Engineer

Material Bank is the worlds largest material marketplace for the architecture and design industry. Operating in 37 countries our platform has become the standard for design professionals around the globe. Every day Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search sample and specify materials.

As a Technical Operations Engineer you will drive the development of the systems tools automations and integrations that power Material Banks internal operations. Sitting at the intersection of technology and business operations you will work across departments toidentifyopportunities solve complex operational challenges and build scalable solutions that improve efficiency reliability and decision-making across the organization.

This is a highly hands-on role for someone who enjoys both building and operating systems. You will own projects from concept through deployment developing internal applications automations integrations and data workflows that support teams across the business. You will also serve as a key technical resource during operational incidents helping diagnose issues coordinate resolution efforts and continuously improve the systems that keep Material Bank running smoothly.

We are looking for someone who combines strong technical aptitude with exceptional problem-solving skills and a high degree of ownership. The ideal candidate is energized by ambiguity comfortable working directly with non-technical stakeholders and motivated by finding practical solutions that create measurable impact. As AI increasingly transforms howour businessoperates you will also play a critical role inidentifyingand implementing AI-powered workflows and automation opportunities throughout the organization.

Whatyoulldo

• Build and deploy internal web applications end-to-end including modern web frontends Python backends and the underlying data models that help replace spreadsheets and manual processes. Own the deployment monitoring and ongoing operation of the solutions you build.
• Develop andoperatedata pipelines (ETL) that ingest data from multiple sources including ERPs CRMs data warehouses andscrapedweb sources. Normalize cleanvalidate and deliver data in a form that teams and applications can use effectively. Monitor pipeline health and respond when issues occur.
• Integrate internal and external platforms through REST APIs and webhooks including CRM ERP ticketing messaging identitydatawarehouse andlogisticsproviders enabling reliable data flow across the business.
• Embed AI into operational workflows including retrieval over internal knowledge document and data extraction classification drafting and routing. Apply theappropriate toolsand approaches to accelerate research reviews and decision-making.
• Own systemmonitoringand incident response by triaging alerts assessing severity investigating logs and metricsidentifyingroot causes coordinating resolution efforts and communicating status updates to stakeholders.
• Serve as a technical resource across departments translating requests from non-technical teams into practical solutions whether through reporting process improvements automation or custom-built tools.

Whatyoullbring

• 3 years of experience building software automations data pipelines or technical solutions in roles such as software engineering technical operations data engineering systems engineering automation engineering or analytics engineering.
• Strongproficiencyin Python for scripting automation backend services and data processing.
• Ability to build across the stack including modern web applications APIs databases and cloud infrastructure.
• Experience working with APIs authentication systems webhooks and third-party platform integrations.
• Strong SQL and data modeling skills with the ability to work comfortably across operational and analytical datasets.
• Hands-on experience using AI coding assistants and modern AI platforms to accelerate development and automate workflows.
• Comfort operating production systems troubleshooting issues investigating incidents andmaintainingreliable services.
• Strong problem-solving skills and the ability to independently take ambiguous requests from idea to implementation.
• Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• High ownership curiosity adaptability and a bias toward building practical solutions that create measurable business impact.
• Experience with web scraping tools such as Playwright or Selenium.
• Experience building data warehouse pipelines using platforms such as Snowflake orBigQuery.
• Experience with serverless or scheduled job infrastructure including Lambda Fargatecron or containerized workloads.
• Experience with CI/CD workflows and Docker.
• Prior experience building internal tooling within a marketplace or e-commerce environment.