Get to know us
Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand in the secure business collaboration market. Trusted by over 2,000,000 users from 300,000 companies globally, we help people run high-stakes processes and make important decisions with less stress, higher quality, and shorter hours.
Ideals Virtual Data Room (VDR): Secure document sharing and collaboration for due diligence, fundraising, corporate reporting, licensing, clinical trials, and other complex transactions.
Ideals Board: Board and leadership collaboration platform for faster, safer, and more compliant decision-making.
The role
Ideals is an international B2B SaaS company building a leading Virtual Data Room (VDR) platform used globally for highly sensitive data exchange, including M&A, fundraising, legal, financial, and other business-critical processes.
Our Engineering organization consists of around 70 professionals across 9 cross-functional Agile teams. Each team owns a specific part of the product and consists of developers, QA engineers, a product manager, a designer, and an Engineering manager. Together they work on delivering meaningful improvements for our users.
We are looking for a Senior Backend Engineer (.NET) to join one of our teams working on the Ideals Virtual Data Room platform.
Our product provides an industry-leading user experience and already includes AI features across multiple areas, each owned by dedicated engineering teams. We continue to explore how AI can improve or even completely change user experience, document workflows, and engineering productivity.
To enhance engineering productivity and focus on high-impact challenges, we provide company-paid enterprise subscriptions to leading AI models. This allows our engineers to select the best vendors to accelerate routine work, improve code quality, and explore innovative solutions. We actively encourage integrating these tools into daily workflows to keep our focus on complex engineering tasks.
Tech stack: .NET Framework 4.7, .NET 8+, ASP.NET Core, Entity Framework, Web API, PostgreSQL, AWS, Docker/Kubernetes, ArgoCD, Git.
What you will do
Participate in all phases of the SDLC as part of a cross-functional product team. This includes, but is not limited to, requirements analysis, design, implementation, testing (unit, integration, and service tests), building, deployment, and operation of new product increments, handling change requests, defect resolution, spikes, and proof-of-concepts
Ensure high-quality solutions by maintaining acceptable test coverage aligned with the Definition of Done criteria
Be a proactive team player, contributing actively to the group’s efforts to complete tasks and achieve goals
Adhere to and drive modern software engineering practices through design reviews
Engage in mentorship and knowledge sharing within the team and the Engineering organization
What you bring
Over 5-6 years of commercial experience in backend development using .NET Framework and .NET 6+
B2 level proficiency in English, both spoken and written
Solid understanding of the SDLC, along with software design and architecture principles
Expertise in writing both unit and integration tests while ensuring that best practices for testing are integrated into every phase of development
Expertise in API design principles, with a solid understanding of REST, RPC, including security considerations
Experience with relational databases (preferably MS SQL Server / PostgreSQL)
Familiarity with cloud platforms (AWS is preferred)
Product-focused approach, consistently striving to create value for users
Strong sense of ownership, taking full responsibility for end-to-end development from design through to production support
Proactive attitude and a growth mindset, with a strong orientation towards self-development and continuous learning
Interest in AI-driven solutions, with openness to developing expertise in this area
Nice to have
Experience in product or SaaS businesses
Experience with .NET 8
Experience with AWS (SNS, SQS, S3,EC2,OpenSearch) and Docker/Kubernetes
Knowledge of security best practices in backend development
Our assessment process
Screening call with the Talent Acquisition Specialist (45 mins)
Technical interview and Live coding (2 hours)
Engineering Competency-based interview with our Engineering Manager (2 hours)
Interview with the Hiring Manager (60 mins)
