Engineer II, Software

Role & responsibilities

• Design, build, test, and maintain production automations in Python across web, Citrix, and API-driven workflows.
• Automate applications end to end: web automation (Playwright or Selenium), Citrix and virtual-desktop automation, and OCR or document-based automation.
• Build agentic and Computer Use Agent (CUA) automations that combine LLMs with UI control to handle tasks that rule-based bots cannot.
• Apply document processing and intelligent data extraction, blending OCR with LLMs to turn unstructured inputs into structured, usable data.
• Integrate REST and SOAP APIs (auth, pagination, retries, error handling), preferring API-driven steps over fragile UI wherever an API exists.
• Handle unattended-execution concerns: secure secret handling, MFA such as TOTP, scheduling, structured logging, and graceful recovery.
• Package automations as Docker containers, run them on Azure, and ship through Azure DevOps Git with PR review and CI/CD pipelines.
• Write and optimize advanced SQL against SQL Server for data-driven automations and reporting.
• Contribute to our shared automation platform, building reusable workers, connectors, and workflow components.
• Instrument what you build with structured logging, metrics, and Application Insights, and help triage and resolve production issues.
• What Were Looking For Minimum 4 years of professional experience building and running production automations or software, with Python at the center of your work. Must-Have Skills
• Python (required): strong core Python (data structures, OOP, exception handling), clean modular code, virtual environments and dependency management (pip / poetry / uv), HTTP and API work (requests / httpx), parsing JSON, CSV, and Excel data, logging, and writing tests.
• Hands-on RPA delivery: production automations built in Python. Prior Power Automate / Power Automate Desktop experience is valued, and experience with any other RPA tool (UiPath, Automation Anywhere, Blue Prism) is welcome, but Python is mandatory.
• Web, Citrix, and OCR automation: Playwright or Selenium for web, image / vision techniques for Citrix and virtual desktops, and OCR for documents.
• REST API integration: consuming third-party APIs with auth flows, pagination, retries, and error handling.
• Advanced SQL: SQL Server / T-SQL, complex joins, window functions, stored procedures, and query tuning.
• Azure fundamentals, hands-on with: Service Bus, Key Vault, Function Apps, Application Insights, Automation Runbooks, and Azure AI Foundry.
• Docker: containerizing automations and running them reliably.
• Git and CI/CD: Azure DevOps pipelines, PR workflow, and branching.
• Unattended-run fundamentals: secrets, MFA / TOTP, scheduling, and logging.
• Preferred / Stand-Out
• Agentic automation and Computer Use Agent (CUA) experience: combining LLMs with UI control to build adaptive automations.
• AI / LLM engineering: Azure OpenAI, prompt design, and handling non-deterministic output.
• Open-source LLM experience: self-hosting or serving models (for example vLLM) and integrating them into automation.
• Document processing at scale: intelligent extraction from PDFs and scanned documents using OCR and LLMs.
• FastAPI + Pydantic: building small services and APIs that sit behind automations.
• Model Context Protocol (MCP) or comparable tool / adapter abstractions.
• Healthcare / regulated-data domain: familiarity with HIPAA constraints or Epic / FHIR integration.

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