Python Data Engineer

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Position Overview We are hiring a developer to join the ATS Development Team (DevSecOps CoE) within the Digital Platform Division.

You will work on an AI-powered technical support automation system that uses multi-agent workflows to automatically investigate Jira tickets for connected car services. The project is in active development, transitioning from a Gradio-based prototype to a Jira ticket-driven production backend service deployed on AWS. What You'll Build A Jira-integrated backend service that automatically detects ticket events, runs AI-driven investigations via specialized worker agents, and writes structured results back to Jira. New worker agents that query external systems (vehicle dashboards, access logs, databases, monitoring tools) and synthesize investigation findings. Event-driven data pipelines connecting Jira webhooks, SQS queues, and LangGraph investigation workflows. Human-AI collaboration flows where AI escalates to operators through Jira comments and continues investigation upon response. Python Strong proficiency with type hints, async patterns, and modern Python idioms. Experience with Poetry for dependency management. Familiarity with mypy, ruff, and pytest. LLM/AI Agent Frameworks Hands-on experience with LangChain and/or LangGraph (multi-agent orchestration, tool-calling patterns, state graphs). Understanding of prompt engineering, LLM evaluation, and token cost management. Experience building agentic systems that coordinate multiple specialized agents. AWS ECS, ECR, EFS, Bedrock (Claude), SQS, Lambda. Containerized deployment with Docker. Infrastructure-as-code experience is a plus. API Integration REST API design and consumption (FastAPI). Jira Cloud API (webhooks, issue CRUD, comment management). Experience integrating multiple external APIs into a unified workflow. Vector Search / RAG Experience with vector databases (LanceDB or similar) Understanding of embedding-based similarity search and retrieval-augmented generation Selenium or browser automation for web scraping/data extraction. Datadog or similar observability platform experience. Gradio or similar rapid-prototyping UI frameworks. Experience with M-Flow or similar process governance frameworks (Full Agile pattern). Familiarity with connected car / IoT / telematics platforms. Atlassian ecosystem knowledge (Jira project administration, webhooks, Rovo). Philippines Data & Analytics Hybrid Professional Multiple Cities