Bonapolia

Role Description We are looking for a Senior Business Analyst. Qualifications - 4+ years of experience as a Business Analyst, Functional Analyst, or Systems Analyst in a technical product environment - Experience working with integration-heavy products - Ability to read and interpret technical documentation, sequence diagrams, and architecture specifications - Familiarity with mobile application ecosystems - Ability to write clear, structured functional specifications and documentation - Experience with flow mapping and process modeling (BPMN, UML, or equivalent) - Experience defining acceptance criteria and participating in UAT - Proficiency with documentation and collaboration tools - Familiarity with Agile delivery practices (discovery, refinement, decomposition, sprint planning) - Familiarity with design collaboration tools Requirements - Excellent communication skills with the ability to bridge product and engineering teams, clarify ambiguities, and maintain cross-functional alignment Company Description The customer is a global mobility and urban services platform operating across multiple countries and regions. The platform provides transportation, delivery, and other urban services for a global user base. Project Description The project is a Fleet Management Platform that brings together fleet owners, drivers, and operational teams through a web management portal, partner integration APIs, and native mobile application features. The platform enables vehicle and driver management, operational automation, real-time performance tracking, and driver onboarding workflows. The platform connects users with service providers across multiple mobility and urban services worldwide. Responsibilities and Tasks - Gather, structure, and document business and functional requirements; produce detailed functional specifications including validation rules, state transitions, error handling, and input/output contracts - Map current and future user flows; identify gaps, edge cases, and dependencies to ensure complete requirements - Maintain structured documentation and ensure traceability of requirements and decisions - Facilitate cross-team alignment by clarifying scope, resolving ambiguities, and supporting communication between product and engineering stakeholders - Define acceptance test scenarios and expected behaviors; participate in testing and UAT - Proactively identify risks, inconsistencies, and scope gaps in requirements and facilitate their resolution Technology Stack Business Analysis Interview Stages - English check (15 minutes) - Internal technical interview (1-1.5 hour) - Client interview (1 hour) Ready to Join? We look forward to receiving your application and welcoming you to our team!

• Design and build deep learning systems for search ranking, personalized recommendations, and session-based recommendation engines. • Integrate geographic context into ranking systems and improve pickup point recommendations. • Translate business objectives into machine learning objectives with appropriate non-functional requirements. • Lead model evaluation using offline metrics and online experiments. • Collaborate with backend engineers to deploy production-ready low-latency ML models. • Work closely with product managers and operations teams to transform behavioral insights into product features. • Own the end-to-end production ML lifecycle, including serving, monitoring, drift detection, and retraining pipelines.

• Develop and maintain iOS application features using Swift, UIKit, and SwiftUI. • Collaborate with cross-functional teams on feature design, architecture, and experimentation initiatives. • Identify and resolve bugs, performance bottlenecks, offline storage, and multithreading issues using profiling and debugging tools. • Maintain high code quality through unit testing, snapshot testing, and code review best practices.

• Develop and maintain Android application features using Kotlin and modern Android frameworks. • Collaborate with cross-functional teams on feature design, system architecture, and online experimentation initiatives. • Participate in Agile ceremonies, including sprint planning, task decomposition, and demonstrations. • Identify and resolve bugs, performance bottlenecks, offline storage, and concurrency issues using profiling and debugging tools. • Maintain high code quality through unit testing and code review best practices. • Ensure compliance with mobile application store policies throughout the software delivery lifecycle.

• Design and maintain test cases and test suites for product features. • Participate in Agile ceremonies, including discovery, refinement, sprint planning, and demos. • Design, develop, and maintain automated test suites for APIs and mobile applications. • Build and maintain QA frameworks and testing tools integrated into CI/CD pipelines. • Investigate production issues, perform root cause analysis, and prevent regressions. • Monitor quality metrics, automate repetitive tasks, and promote testability best practices. • Mentor QA engineers and support team development.

• Design and develop scalable backend solutions using Java • Work with microservices architecture and contribute to technical solution design • Build, maintain, and optimise REST APIs and backend systems • Support delivery through CI/CD pipelines and modern engineering practices • Work with containerised environments using Docker and Kubernetes • Apply software security principles and development best practices • Collaborate with team members and stakeholders in a long-term project setup

• Develop, deploy, and maintain data pipelines and data governance systems on Databricks (Unity Catalog, Delta Lake, Workflows) • Conduct in-depth data analysis, profiling, and processing to classify data by domain and detect personal data (PII) • Contribute to the design of data access systems, focusing on data contracts, catalog access, and grant/rollback automation managed as Infrastructure-as-Code with Terraform • Review access architectures and contracts to ensure flexibility and reusability • Ensure that data products and access controls are deployed according to contracts and operate without unintended side effects • Maintain documentation for data contracts, access models, and governance processes • Monitor and support deployed pipelines and quality checks to ensure they meet data quality and performance expectations • Actively seek out information and internal solutions to ensure reusability and adoption of common data platform technologies

• Design, develop, and deploy scalable GenAI applications using LLMs, RAG, AI agents, and workflow orchestration frameworks • Build production-grade AI systems integrating structured and unstructured enterprise data • Architect and optimize end-to-end AI pipelines • Develop AI-powered copilots, assistants, automation workflows, and autonomous agent systems • Design hybrid AI systems combining deterministic workflows with autonomous agent behavior • Build multi-agent orchestration workflows • Implement tracing, telemetry, observability, and monitoring • Develop automated evaluation pipelines and testing frameworks • Improve reliability through retrieval optimization and AI safety mechanisms • Optimize inference cost, latency, throughput, and scalability • Own AI systems from prototype to production • Collaborate with stakeholders, product managers, platform teams, and data engineers • Stay current with advances in LLMs, agentic AI, multimodal systems, and AI infrastructure

• Develop and maintain Cobol applications • Collaborate with team members • Deliver high-quality code

• An experienced engineer who knows distributed systems not just from documentation - but from production incidents, cluster tuning under load, and writing runbooks that people actually use.