As a Technical Operations Engineer, you will drive the development of the systems, tools, automations, and integrations that power Material Bank’s internal operations. Sitting at the intersection of technology and business operations, you will work across departments to identify opportunities, 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 how our business operates, you will also play a critical role in identifying and implementing AI-powered workflows and automation opportunities throughout the organization. 

What you'll do 

• 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 and operate data pipelines (ETL) that ingest data from multiple sources, including ERPs, CRMs, data warehouses, and scraped web sources. Normalize, clean, validate, 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, identity, data warehouse, and logistics providers, 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 the appropriate tools and approaches to accelerate research, reviews, and decision-making. 
• Own system monitoring and incident response by triaging alerts, assessing severity, investigating logs and metrics, identifying root 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. 

What you'll bring 

• 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. 
• Strong proficiency in 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, and maintaining reliable 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 or BigQuery. 
• Experience with serverless or scheduled job infrastructure, including Lambda, Fargate, cron, or containerized workloads. 
• Experience with CI/CD workflows and Docker. 
• Prior experience building internal tooling within a marketplace or e-commerce environment.