Top Engineering Jobs

Lead and manage Gurgaon-based engineers, own technical direction and system health for Case Management, design and implement backend services using Java 17+ and Spring Boot, contribute production-quality code, ensure reliability and operational excellence, drive engineering best practices, and partner with global product and operations teams.

The Associate, DevOps Engineer will design, automate and support Windows-based applications on AWS and Azure, using PowerShell and Python for automation and CI/CD pipeline management, while providing L2/L3 application support.

Lead architecture and engineering for portfolio management platforms: drive technical design reviews, AI-enabled PDLC, production SRE practices, mentor engineers, align global teams, and translate domain needs into executable Agile backlogs focused on scalability, resiliency, and quality.

The role involves developing and enhancing Python-based tools for portfolio managers, integrating AI technologies, and supporting critical investment workflows.

Develop and enhance solutions for Alternatives Investments Business, contributing to architecture, design decisions, and application code base. Collaborate and communicate effectively in a team environment.

The Full Stack Engineer will develop and implement features for AI-driven solutions on our Private Markets platform, enhancing data quality and automation.

As a Vice President in Application Engineering, you'll lead the development of high-performance back-end systems, mentor teams, and collaborate with cross-functional groups to ensure effective technical solutions in a data-driven environment.

As a Java Backend Engineer, you'll develop Aladdin's multi-asset trading platform, deliver high-availability systems, and collaborate across teams using Agile methodologies.

Lead multiple engineering teams to deliver and scale BlackRock’s Insight Core platform. Drive architecture, cloud-native Azure SaaS delivery, AI/GenAI integration, operational stability, and engineering best practices across projects and stakeholders.

Develop and maintain microservices for financial analytics, implement algorithms, perform testing, and collaborate with analysts for accurate data in investment metrics.