Work model: 100% office (Cracow)
What we do
At Cognizant, we partner with the world's leading companies to shape their digital future — not just adopting technology but truly becoming digital at their core.
In Poland, we're present in Kraków, Gdańsk, and Wrocław, offering exciting opportunities for both experienced professionals and fresh graduates. Expect world-class training, a clear path to grow your career, and benefits that make a real difference.
Ready to make an impact? Be Cognizant.
About the role
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.
- 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.
- 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.
- Extensive benefits package: Multisport Card, LuxMed medical healthcare including dental care, life insurance, cafeteria benefits,
- Opportunity to be part of a global organization focused on development,
- Open-minded and multinational environment,
- Training & development opportunities, including language courses,
- Professional development and a clear career path,
- Full equipment and paid training are provided from the first day of work.
Due to Client security requirements in the project, it is a condition of your employment in the offered position to present a valid NFC-enabled ID card (i.e. an e-chip-enabled ID/Passport) and undergo the Client-mandated ID check as a part of the Client onboarding to the project. If the above requirement is not fulfilled, Cognizant will be entitled to cancel this offer and not enter into an employment agreement with you or, in case the employment agreement is signed with you prior to completion of the abovementioned verification, to terminate your employment. The Client, being the data controller responsible for this specific verification process, will contact you separately to provide you with more detailed information in this regard.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email us
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
About our Candidate Privacy Statement: https://www.cognizant.com/careers_resources/Cognizant_Candidate_Privacy_Statement_English_version.pdf
Poznaj
Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
