Job Description

Location :

Bangalore

Experience :

10-15 Yrs

:

The candidate should have good hands on experience in C#, .NET, WPF, WCF, Jenkins. Mandatory skills: C#, WPF, WCF, Blazor, MongoDB, Jenkins



Lead the design, development, and validation of secure, scalable software architectures and components for assigned products and subsystems. Participate in architecture, design, and code reviews, Agile ceremonies, and requirement analysis to ensure technical rigor and alignment. Collaborate effectively across time zones with North American R&D and global stakeholders to communicate status, resolve issues, and influence strategic decisions. Organize teams and implement development processes that drive high-efficiency, on-time delivery in a collaborative and accountable environment. Investigate complex software and system problems, translating product requirements into innovative, well-tested solutions that meet both explicit and implicit needs.

Key Skills/Competencies :

Bachelor's or master's degree in Computer Science, Software Engineering, or related field, with 15+ years of experience designing and developing enterprise- grade software products. Proven hands-on expertise in architecture and backend development using C#.NET, with strong command of software design principles, patterns, domain modeling, and system design. Experience building desktop and web applications using .NET Framework 4.5, WPF, WCF, ASP.NET, MVC, Blazor, Razor components, and Visual Studio. Solid understanding of database technologies including MongoDB and PostgreSQL, with experience in UML modeling and diagramming tools like Enterprise Architect and MS Visio. Skilled in performance optimization and debugging using profiling tools such as dotTrace and NProfiler, along with familiarity in CI/CD tools like Jenkins and TeamCity. Strong communication, analytical, and time-management skills, with the ability to collaborate across time zones and manage multiple priorities effectively.

It would be a plus if you also possess previous experience in:

Driving the design and development of scientific or analytical instrumentation software, with hands-on expertise in regulated domains such as life sciences or diagnostics * Knowledge of AI/ML concepts or integration of AI into applications is a plus.