Lead Software Developer
Innocap
Lead Software Developer
Innocap
Structures and operates allocations for institutions
ABOUT INNOCAP
Innocap is the leading Dedicated Managed Account Platform (DMAP) globally, providing institutional allocators with a superior way to structure, access, and oversee their alternative investments. With over US$135 billion on the platform and more than 570 employees across the globe, we are transforming how allocators access and manage alternative investments.
Powered by our people, processes and purpose‑built technology, Innocap is seeking forward-thinking individuals to join us on our exciting journey. At Innocap, you won't just manage what’s here today. You’ll build what comes next. Here, careers are about building, not maintaining.
We give our people the freedom to think boldly, move quickly, and create real impact with less red tape. Driven by transformation, trust and collaboration, we never settle for the status quo and are constantly finding better ways to serve our clients and actively shape the future of the investment industry.
At Innocap, your work makes a difference every day – and helps build what’s next for our clients, the industry, and your career.
Because the future doesn’t build itself. We do.
We are seeking a hands-on Lead Software Developer with strong experience in building, modernizing, and supporting enterprise applications using C#, .NET, SQL Server, APIs, and Microsoft Azure. The role manages a small team of developers and serves as the technical lead for assigned enterprise applications and services.
The candidate will own technical delivery, guide solution design, resolve complex engineering problems, review code, coach developers, and manage team members. Demonstrated experience applying AI-assisted development across the software development lifecycle is mandatory, along with practical exposure to creating or integrating AI-enabled application features, APIs, workflows, or proofs of concept. This is a software engineering and technical leadership role, not a data science or AI model research position.
· Design, develop, and maintain enterprise applications using C#, .NET, ASP.NET MVC, ASP.NET Core, and Web API.
· Build secure, reliable, and scalable backend services, APIs, and integrations; modernize existing .NET applications while maintaining business-critical platform stability.
· Develop efficient data-access solutions using SQL Server and Entity Framework; integrate internal services, external APIs, and enterprise data sources.
· Implement caching and asynchronous processing using technologies such as Redis and RabbitMQ.
· Ensure application performance, security, reliability, code quality, and maintainability.
· Apply AI-assisted development across solution design, coding, refactoring, testing, code review, troubleshooting, and documentation.
· Identify opportunities to use AI to improve developer productivity, software quality, and delivery efficiency.
· Create or integrate AI-enabled features within enterprise applications, APIs, and engineering workflows.
· Manage a small team of developers, including work allocation, delivery follow-up, regular feedback, performance appraisals, development discussions, and leave approvals.
· Support team hiring and replacement needs by defining role requirements, screening candidates, conducting technical interviews, and contributing to selection decisions.
· Act as a technical lead for assigned enterprise applications and services, covering technical design, delivery, system health, production support, and continuous improvement.
· Guide technical decisions within established enterprise architecture, security, and platform standards; partner with business analysts, product stakeholders, and cross-functional technology teams to translate requirements into scalable solutions and communicate risks, dependencies, and delivery concerns.
· Develop and support applications hosted on Microsoft Azure using Git-based workflows and Azure DevOps CI/CD pipelines.
· Implement automated unit and integration testing and collaborate with DevOps and platform teams on deployment and configuration.
· Promote secure development, observability, and reliable release practices.
· Own production troubleshooting through monitoring, root-cause analysis, improved failure handling, and sustainable corrective actions; collaborate with technical and business stakeholders while building team capability through code review, knowledge sharing, and coaching.
· Bachelor's or master’s degree in computer science, Engineering, Information Technology, or equivalent experience.
· 8+ years of professional software development experience, typically within the 8-to-12-year range.
· Strong experience building and supporting enterprise-grade applications, managing a small development team, and providing hands-on technical leadership.
· Ability to work independently with limited supervision and resolve difficult or complex engineering problems.
· Strong analytical, problem-solving, communication, and stakeholder-management skills; experience working in Agile or Scrum environments.
· Advanced hands-on experience with C#, .NET, ASP.NET MVC, ASP.NET Core, Web API, and REST API design and integration.
· Strong knowledge of SQL Server, relational data modelling, query & stored procedures development, and Entity Framework or equivalent data-access technologies.
· Strong experience with Microsoft Azure, Git, automated testing, and DevOps CI/CD pipelines.
· Experience with production debugging, logging, exception handling, root-cause analysis, and performance optimization.
· Experience reviewing code, providing technical direction, coaching developers, and leading delivery while remaining hands-on.
· Demonstrated hands-on use of AI-assisted development tools across multiple stages of the software development lifecycle.
· Ability to validate and improve AI-generated code for correctness, security, maintainability, and engineering quality.
· Practical exposure to creating or integrating AI-enabled application features, APIs, workflows, or proofs of concept.
· MongoDB or another NoSQL database; Redis or another distributed cache; RabbitMQ or another enterprise messaging platform.
· Azure OpenAI, Microsoft Foundry, GitHub Copilot, Claude, Hugging Face, or comparable AI platforms and tools.
· Docker, Kubernetes, or Azure Kubernetes Service; ReactJS and TypeScript.
· Legacy .NET modernization, client onboarding, data integrations, reporting systems, or externally consumed APIs.
· Financial services, investment management, risk, reporting, application security, performance testing, or AI governance.
OUR OFFERINGS
· Hybrid work culture: Emphasizing a flexible working environment to promote a healthy work-life balance.
· A smart, talent & agile team: An international team where different nationalities are working together in several locations & time zones with learning, sharing & fun environment
· A great compensation package: Competitive salary package, excellent medical, accidental & life-term insurance, fitness discounts, and an employee assistance program.
· Continuous learning opportunities: Access to professional and personal development through the · Udemy platform membership where you can keep learning & improving.
· Diversity and Inclusion: Committed to fostering a diverse and inclusive environment for all employees.
#LI-Hybrid
Innocap is an equal opportunity employer. We are dedicated to hiring diverse talent and fostering an inclusive, equitable, and people-first culture where everyone feels valued, respected, and empowered to contribute fully – regardless of their background. With employees across the globe, we firmly believe that the unique perspectives and strengths of our people help us grow stronger and allow us to better serve our clients.
If you require accommodation at any stage during your application process, please let us know.
Innocap runs a managed account platform for asset owners, structuring internal and external allocations for large institutions with risk, legal, compliance, and operational services plus IT capabilities to enable multi-jurisdiction access to many asset classes. It uses dedicated in-house teams and data-driven technology to design customized frameworks and partnerships with clients, delivering end-to-end governance, operations, and compliance. It differentiates itself through its lineage as the former internal platform of a major Canadian bank and as an independent, globally serving firm backed by a large pension fund and a top-tier bank, plus a focus on trusted people–client partnerships and an open architecture across jurisdictions. Its goal is to empower asset owners to create value for society by providing trusted, scalable infrastructure and expertise to manage large, complex mandates.
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