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Betfair Romania Development

Senior Software Engineer – Flutter Functions

Betfair Romania Development

Senior Software Engineer building AI-powered applications for Flutter Entertainment's Strategic Intelligence Platform. Designing and implementing scalable web applications and data integrations on AWS.

Posted 6/12/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudEC2FlutterJavaScriptMicroservicesNode.jsNoSQLPythonReactSDLCSQLTypeScriptVue.js

About the role

Key responsibilities & impact
  • Design and build end-to-end web applications for the Strategic Intelligence Platform, spanning user interfaces, APIs, and backend services.
  • Architect robust, scalable systems using API integrations, microservices, and serverless patterns that support AI/ML workflows and data processing.
  • Develop automated workflows using low-code/no-code platforms and custom solutions to eliminate manual processes and scale analytical capabilities.
  • Implement secure, scalable infrastructure on AWS — including Lambda, API Gateway, and databases — integrated with the Databricks analytics platform.
  • Build and maintain data pipelines connecting multiple internal and external data sources to support AI workflows.
  • Design RESTful APIs and integration patterns that enable seamless data flow between systems, databases, and analytical platforms.
  • Enforce data governance and security best practices ensuring compliance with Flutter's data protection requirements.
  • Manage SQL and NoSQL database systems supporting both operational workflows and analytical data storage.
  • Own the complete SDLC — from design through deployment — including testing, monitoring, and maintenance of production systems.
  • Implement CI/CD pipelines and automated deployment processes ensuring reliable, repeatable software delivery.
  • Monitor system performance and drive optimisation strategies to maintain platform scalability and reliability.
  • Uphold security standards and compliance requirements across all technical implementations.
  • Integrate LLMs and generative AI APIs (AWS Bedrock, OpenAI, Azure OpenAI) and custom models into production applications.
  • Build RAG architectures and AI application patterns that enable intelligent data processing and automated insight generation.
  • Partner with the AI Analyst to translate analytical requirements into technical specifications and take proof-of-concepts to production.
  • Implement prompt engineering and AI workflow orchestration to support automated content generation and data analysis.

Requirements

What you’ll need
  • 3–5 years of full-stack development experience building and deploying web applications end-to-end across React/Vue, TypeScript/JavaScript, and Python or Node.js — with a proven ability to build clean, maintainable architectures.
  • Cloud-native systems proficiency on AWS — Lambda, API Gateway, S3, EC2 — with a solid understanding of serverless design patterns and experience deploying production-grade systems.
  • Database and API development experience across SQL and NoSQL databases, RESTful API design, and data integration patterns — with the ability to optimise data flows across distributed services.
  • DevOps experience including CI/CD pipeline implementation, automated testing, and production system monitoring — with a track record of taking prototypes to production reliably and at scale.
  • Comfortable with Git, Agile engineering practices, and translating ambiguous requirements into practical technical solutions quickly.
  • Confident communicator — able to engage senior stakeholders, present technical options clearly, and adapt well in fast-moving environments.
  • AI/ML integration experience with LLMs and generative AI APIs (AWS Bedrock, OpenAI, Azure OpenAI), including working knowledge of RAG patterns and prompt optimisation is a nice to have.
  • Databricks or equivalent data engineering platform experience, with familiarity of MLOps concepts and model lifecycle management is a nice to have.
  • Advanced AWS certifications or equivalent cloud platform expertise is a nice to have.
  • Experience in regulated industries — financial services, gaming, or similar — with an understanding of compliance requirements is a nice to have.

Benefits

Comp & perks
  • Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals.
  • Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling.
  • Career growth through Internal Mobility Programs.
  • Comprehensive Health Insurance for you and dependents.
  • Customised well-being programmes and a 24/7 helpline for holistic wellness.
  • Sharesave Plan to purchase discounted company shares.
  • Volunteering Leave and Team Events to build connections.
  • Recognition through the Kudos Platform and Referral Rewards.

ATS Keywords

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Hard Skills & Tools
full-stack developmentweb applicationsReactVueTypeScriptJavaScriptPythonNode.jsAPI developmentRESTful API design
Soft Skills
confident communicatorengage senior stakeholdersadaptabilitytranslating requirementsproblem-solvingcollaborationpresentation skillsquick learninganalytical thinkingtime management
Certifications
AWS certificationscloud platform expertise