Location: Krakow, Poland (Co-located Hub)
Employment Type: Full-Time 100% Office Based
Role Overview:
We are seeking a highly technical, problem-solving Developer/Analyst to join a newly formed "Developer Solutions" task force within the GDO Auto Locality Experts program. Act as an embedded technical partner to the Locality Experts (LE) team. You will work closely with domain experts to deeply understand operational workflows, identify business gaps, and autonomously design, build, and deploy end-to-end automation and AI tools to eliminate manual bottlenecks. Acting as a "mini software development team," this unit is responsible for bridging the gap between Map Operations and Google Engineering, with tasks heavily focused on AI model experimentation, generation, and maintenance.
Key Responsibilities:
● Business Alignment & AI Solution Engineering: Collaborate directly with Locality Experts to gather business requirements and map out operational pain points. Translate domain-specific challenges into technical specifications, and engineer custom Python/AI tools and automated pipelines from prototype to production. Proactively identify opportunities to design, test, and refine AI tools based on Gemini AI models to enhance operations, analysis, and feature generation, optimizing for accuracy and relevance. Integrate AI prompt engineering best practices into automated geospatial workflows.
● Configuration & Workflow Enablement: Manage domain issue configurations, configuration files, and run batch issue creation/mutation scripts. Support Geo Mapping Data Technicians by creating and improving configurations to improve daily workflows.
● L2 End-to-End Bug Management: Serve as the escalation point for complex churn and policy bugs. Triage and debug complex issues impeding workflows, and resolve and document edge-cases. Take ownership of tracking, tagging, and following up with third-party and Engineering teams to ensure issues are closed systemically.
● Engineering Liaison & Tool Documentation: Act as the technical bridge to Engineering. Conduct black-box testing of new tool features and provide detailed feedback. Package validated findings into highly structured formats for Engineering teams, drastically reducing their triage and investigation time. Draft formal Tools Requirements Documents (ORDs), and document and quantify the impact of suggested feature/functionality or infrastructure changes.
● Dashboarding, Reporting & Data Interfacing: Design, deploy, and maintain advanced dashboards (e.g., PLX) to track systemic issue clusters, monitor SLA adherence, and generate high-level Root Cause Analysis (RCA) reports. Interface directly with undocumented data (example: GTFS).
● Locality Expert Backup: Serve as a functional cross-trained backup to the core Locality Experts team. Step in to support standard policy verification, regional map data auditing, and daily operations whenever critical coverage or bandwidth is needed.
Required Technical Skills (Non-Negotiable):
● Programming (3+ Years): Advanced proficiency in Python (specifically for workflow automation, web scraping, and API interactions) and Javascript/Appscript. Must have a solid understanding of data science packages (NumPy, Pandas) and machine learning frameworks (PySpark, TensorFlow).
● System & Architecture: Familiarity & ability to read Java & Object-oriented programming. System level Linux knowledge (Directories setups & Debugging).
● Database Management & PLX (3+ Years): Expertise in SQL and database querying to manage and manipulate complex spatial/policy data sets. Direct experience building and maintaining PLX dashboards is strictly required.
● AI/ML Integration (1-2+ Years): Practical understanding of AI applications, including LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation) pipelines to assist in building and deploying autonomous AI agents. Leverage Machine Learning and artificial intelligence output data to continually improve system tooling and workflows.
● Geospatial Systems (Highly Preferred): Ability to use GIS skills to support the geo data processing lifecycle from ingestion to submission, including experience with tools like QGIS.
Profile & Experience:
● 3-5 Years of overall professional experience operating within a technical operations, software development, data analysis, or developer support environment.
● Preferred: More than one year tenure as a Systems Specialist Tier I.
● Possesses a "Product Manager" mindset—able to look at a manual business problem, understand the operational need, and autonomously design a technical solution from prototype to production.
● Knowledge of English on at least B2 level with strong communication skills and the ability to translate technical concepts into business logic for non-technical stakeholders.
● Self-motivated, detail-oriented, and able to work under pressure while finding innovative solutions and improvements.
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关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
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