Software Engineer (Audience Intelligence) at Two Circles

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

0.0

Posted On

08 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Django, REST API, Azure, Relational Databases, Data Modelling, Microservices, Databricks, .NET, Blazor, Razor, DevOps, CI/CD, GitHub Actions, Data Engineering, Agile

Industry

Marketing Services

Description

About Two Circles Two Circles is a global leader in sports and entertainment data and technology, helping organizations grow their audiences and revenues by understanding fan behaviors and preferences. We build innovative platforms that empower clients to unlock fan insights and deliver personalized experiences. Our Audience team is dedicated to developing solutions that capture, analyze, and act on audience data to maximize engagement and value. Role Summary We are seeking a passionate and skilled Software Engineer (Audience) to join our team in delivering cutting-edge audience data platforms. In this role, you will contribute to the design, development, and deployment of scalable software solutions that enable advanced audience segmentation, analytics, and activation capabilities for global sports and entertainment clients. Key Responsibilities Design, develop, and maintain software applications and services that support audience data collection, processing, and activation. Collaborate with cross-functional teams including data science, product management, and client services to deliver high-quality features. Develop and optimize database schemas and queries for efficient large-scale data processing. Implement scalable microservices and APIs to support real-time audience insights and integrations. Maintain high standards for code quality, testing, and performance. Participate in agile ceremonies, design discussions, and continuous improvement initiatives. Work closely with clients and stakeholders to understand requirements and deliver effective technical solutions. Must-have skills Strong Python and Django experience Able to maintain, extend, and refactor a production Django web application, including models, views, services, authentication, permissions, and admin tooling. REST API design and backend integration experience Comfortable building and maintaining API endpoints consumed by downstream systems, with attention to validation, versioning, performance, security, and reliability. Cloud deployment experience on Azure Practical experience deploying, monitoring, and troubleshooting web applications in Azure, ideally including App Services, databases, networking, identity, logging, and CI/CD pipelines. Database and data modelling skills Strong understanding of relational databases, schema design, migrations, query optimisation, and how application configuration data supports downstream data processing. Ability to work across backend and frontend boundaries Comfortable supporting a transition where the Django application is being split into separate frontend and backend components, including defining clean API contracts and collaborating with frontend engineers. Nice-to-have skills Databricks experience Familiarity with Databricks workflows, jobs, notebooks, Delta Lake, or data pipeline orchestration, especially where an application provides configuration to data pipelines. .NET or Microsoft frontend ecosystem experience Experience with ASP.NET, Blazor, Razor, or other Microsoft web technologies would be useful if the frontend moves into a .NET-based framework. Experience modernising monolithic applications Prior involvement in separating frontend and backend layers, introducing API-first architecture, or migrating legacy functionality into cleaner services. DevOps and CI/CD experience Experience with Azure DevOps, GitHub Actions, infrastructure-as-code, automated testing, environment promotion, and release management. Data engineering awareness Understanding of how configuration, metadata, scheduling, validation rules, or business logic drive data pipelines, even if the role is not primarily a data engineering position.

Responsibilities

Design, develop, and maintain scalable software applications and microservices for audience data collection and activation. Collaborate with cross-functional teams to optimize database schemas and deliver real-time audience insights for global sports clients.