Back End Software Engineer (C#/.NET)

Buxton, through its brand Audiense, is seeking a Back End Software Engineer to design and build systems for their analytics-to-action platform. The role involves developing scalable services and microservices, collaborating with cross-functional teams, and solving complex problems to enhance their SaaS offerings.

Responsibilities:

• Own critical systems: Design and develop scalable services and microservices that support global SaaS products
• Innovate with modern tools: Work with C#/.NET, AWS, Docker, and cloud-native architecture while exploring event-driven and data-heavy systems
• Solve complex problems: Collaborate with product managers, designers, and data teams to deliver elegant, high-performance solutions
• Grow your expertise: Contribute to code reviews, automated testing, and architecture discussions that push the boundaries of best practices
• Have global impact: Your work will directly influence how brands across industries activate insights in real time
• Build robust and scalable back-end software in C#/.NET Framework, .NET Core, or ASP.NET
• Design services and system architecture that drive performance and reliability
• Write and maintain high-quality code with unit tests, automation, and peer reviews
• Collaborate with cross-functional teams to turn complex requirements into practical technical solutions
• Troubleshoot, optimize, and ensure systems are secure, scalable, and efficient
• Explore advanced domains like geospatial data, big data processing, and event-driven architecture

Requirements:

• 2+ years of experience with C#, .NET Framework, .NET Core, or ASP.NET
• Proven background in building SaaS web applications and microservices
• Experience with cloud platforms (AWS preferred) and containerization (Docker)
• Proficiency in SQL (DML, DDL, query tuning; SQL Server preferred)
• Strong understanding of software architecture, design patterns, and version control
• Curiosity, problem-solving skills, and a passion for building efficient, elegant systems
• Bachelor's degree in Computer Science or related field is required
• Experience with geospatial analysis, large-scale data processing, or event-driven platforms