Senior Automation Engineer

Essential Duties and Responsibilities: Design and build end-to-end automation systems using Python, APIs, AI, and cloud infrastructure Replace manual workflows across submissions, quoting, renewals, endorsements, policy servicing, and carrier portals Automate workflows involving email ingestion, PDF processing, OCR, document classification, and web portals Build multi-step, orchestrated automation pipelines rather than one-off scripts Work directly with internal teams to understand existing processes and redesign them for automation Develop and maintain a centralized automation platform with logging, monitoring, error handling, and recovery Make architecture and tooling decisions that balance speed, scalability, cost, and long-term reliability Implement AI and LLM integrations where appropriate to improve efficiency and accuracy (not as a black box) Design systems that interface with carrier portals, agency management systems, and internal tools Ensure automation solutions are secure, auditable, and resilient Translate business workflows into technical systems with clear documentation Define timelines, milestones, and execution plans for automation initiatives Continuously identify inefficiencies and propose automation opportunities across departments

Key Competencies: Automation System Design – Ability to design and build scalable, maintainable automation systems that replace manual business processes. Python & Backend Engineering Expertise – Advanced ability to design backend services, automation pipelines, and integration layers using Python. API Integration & System Connectivity – Strong ability to integrate third-party APIs, internal systems, and event-driven workflows reliably. Web & Document Automation – Ability to automate web-based workflows using tools such as Playwright or Selenium, and process PDFs using OCR and parsing techniques. AI & LLM Integration – Ability to apply AI and LLMs thoughtfully to real workflows, with an understanding of limitations, security risks, and failure modes. Workflow Orchestration & Pipelines – Ability to design multi-step automation pipelines with orchestration, retries, error handling, and observability. Cloud Infrastructure Knowledge – Strong working knowledge of AWS and/or Google Cloud for hosting, scaling, and system reliability. Insurance Operations Expertise – Deep understanding of insurance agency workflows including submissions, quoting, binding, renewals, endorsements, and carrier interactions. Systems Thinking & Problem Solving – Ability to analyze complex processes, identify inefficiencies, and design complete automation solutions. Ownership & Execution – Ability to operate independently, define priorities, execute without hand-holding, and deliver outcomes. Communication & Technical Clarity – Ability to clearly explain system designs, tradeoffs, and automation logic to both technical and non-technical stakeholders.

Minimum Qualifications: Required 7+ years of experience in software engineering, automation engineering, or systems engineering Proven experience designing and building production-quality automation systems Strong Python expertise with backend and automation system design Experience with API integrations and system-to-system connectivity Experience with web automation (Playwright, Selenium, or equivalent) Experience with PDF parsing, OCR, and email processing Experience implementing AI or LLM-based automation with strong system understanding Experience with cloud platforms (AWS and/or Google Cloud) Direct experience working within insurance agencies or insurance operations Strong understanding of insurance workflows and carrier interactions Ability to work fully on-site in Tamarac, FL Preferred Experience designing centralized automation platforms or internal tooling ecosystems Experience building monitoring, logging, and observability into automation systems Experience working with sensitive or regulated data environments Experience modernizing legacy or highly manual industries Experience working closely with business leadership on operational transformation Familiarity with workflow engines, task queues, or event-driven architectures

Physical Demands and Work Environment: On-site role based in Tamarac, FL Office-based with standard business hours Extended hours may be required during major workflow rollouts or system migrations Frequent use of computers and technical tools for system design and development