Full TimeENNorth America
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
This role emphasizes technical problem-solving, software development, and the delivery of high-quality code. The.NET/C# Developer will also support internal systems and collaborate with cross-functional teams to ensure that development aligns with company goals.
About the role:
Our client offers a variety of valuable customer communication tools, pulling and organizing telephone, and other multi-channel engagement data, into any configuration needed; empowering the company’s teams to drill down from summary reports visualizations, showing high-level trends, into discrete calls or interactions, to facilitate context’s understanding.
This position focuses on designing, implementing, and maintaining robust software solutions to meet the needs of our customers and internal teams. As a key member of the development team, you will contribute to the ongoing improvement of the client’s platform while solving complex technical challenges. This role emphasizes technical problem-solving, software development, and the delivery of high-quality code. Additionally, the .NET/C# Developer will support internal systems and collaborate with cross-functional teams to ensure that development aligns with company goals.
The Backend Developer role requires strong technical expertise combined with practical, integrated use of AI tools throughout the software development lifecycle. AI usage is a core expectation rather than an optional skill.
Candidates must demonstrate hands-on experience using AI-assisted development tools such as Cursor, GitHub Copilot (Visual Studio/VS Code), Claude Code, Codex, or similar solutions. Evaluation focuses not only on tool familiarity, but on how developers actively collaborate with AI during planning, coding, and problem solving.
Developers are expected to use AI during code planning and implementation, showing how they structure prompts, interpret responses, validate outputs, and iterate based on AI feedback. Strong candidates rely on AI as part of their normal workflow, especially when approaching complex features, using large language models to explore solutions, refine architecture decisions, and accelerate development.
Advanced AI usage is preferred, including leveraging LLMs for feature design, problem decomposition, and solution exploration before and during implementation.
Domain experience in contact center or telecommunications environments is valuable, particularly familiarity with concepts such as agents, call queues, call groups, transfers, conferencing, and support workflows.
In addition to technical capability, candidates should demonstrate strong communication and collaboration skills, clearly explaining their reasoning, decisions, and AI-assisted approach to solving problems.
The ideal candidate combines backend engineering expertise, effective communication, domain awareness, and mature AI-integrated development practices.
Some of the main responsibilities for the role include:
#LI-DNI
Qualifications
- +90% English written and oral (at least B2 level) with excellent communication skills
- 3 years of hands-on software development experience with C# and .NET
- Strong experience with Microsoft SQL, Azure, and business intelligence
- Experience in telephony engineering or the contact center industry is a plus
- Hands-on experience with AI tools
- Proficient in debugging, diagnosing, and solving complex technical problems
- Strong understanding of software development principles and design patterns
- Experience with modern development practices, including CI/CD pipelines, source control (e.g., Git), and automated testing
- Knowledge of RESTful API design and development
- Exceptional problem-solving and analytical skills with a focus on delivering practical solutions
- Strong project management and cross-functional collaboration skills
- Excellent verbal and written communication skills to effectively share technical concepts with both technical and non-technical stakeholders
- Ability to prioritize tasks and work effectively in a dynamic, fast-paced environment
- Knowledge and use of AI tools.
Interview format:
1 hour interview with the team manager. Conversational, technical questions, develop exercise.
Might require a second interview.