Top Engineering Jobs

Leads global service management and DevOps operations for business-critical workloads. Owns reliability, resilience, risk posture, SRE practices, AI-enabled monitoring, signal-driven operations, automated remediation, change-aware governance, capacity planning, disaster recovery, and auditability. Partners with engineering, architecture, and product teams to embed observability and operability into services while developing a high-performing global team.

Designs, develops, and governs secure, scalable ServiceNow enterprise solutions. Translates business requirements into technical architectures, workflows, integrations, data models, and platform enhancements. Configures and tests ServiceNow capabilities, supports upgrades and incident resolution, conducts architecture reviews, guides developers and delivery partners, and evaluates AI-enabled functionality. The role requires strong stakeholder management, platform governance, technical assurance, and mentoring skills.

Leads enterprise and domain architecture for BlackRock’s Aladdin asset management platform. Defines target-state architecture, data and analytics strategies, cloud modernization, AI adoption, technology governance, platform rationalization, and transformation roadmaps. Partners with senior investment, operations, risk, compliance, legal, cybersecurity, and technology stakeholders to ensure scalable, resilient, secure, and regulatory-compliant platforms across front-, middle-, and back-office functions.

Leads and mentors front-end and full-stack engineers while providing hands-on technical direction across design, development, testing, troubleshooting, and optimization. Partners with product, design, and QA teams to deliver roadmap milestones, establish engineering standards, and improve system quality and reliability. The role also serves as a technical subject-matter expert, supports globally distributed teams, and evaluates emerging technologies including AI.

Lead the Hyperion AI-enabled data processing platform, owning its architecture, scalability, reliability, production operations, and engineering roadmap. Provide technical and people leadership, develop engineers, partner with Aladdin and platform teams, and evolve the platform toward intuitive self-service capabilities. Establish standards for security, software quality, testing, documentation, governance, resilience, and sustainable development while supporting business-critical processing of unstructured data at scale.

Develop, test, and support reliable, high-performance distributed Java applications for real-time streaming and concurrent workloads. Partner with stakeholders, present and review designs, improve reliability/observability/performance, and support production releases to meet SLAs within BGM Data & Analytics.

Develop and support scalable Python software for equity, fixed income, and multi-asset index calculation, simulation, and delivery. Design components from high-level architecture, automate development and deployment, modernize existing systems, and contribute to technology roadmaps. Collaborate with research, product, platform engineering, data operations, production, and program management teams. Provide technical client support and perform analysis while building resilient, maintainable enterprise applications using databases, APIs, cloud-native services, and distributed systems.

Build and enhance large-scale internal platform interfaces using TypeScript and React. Design workflow-driven user experiences, optimize performance, maintain architectural consistency, and improve CI/CD and testing practices. Own portions of the SaaS product, including monitoring and incident resolution. Collaborate with cross-functional stakeholders to deliver business-critical enhancements for investment, sales, operations, and portfolio-management workflows.

Lead QA efforts by designing and executing test strategies, creating automated and manual tests, tracking defects, maintaining traceability matrices, reporting findings, and collaborating with cross-functional teams to ensure product reliability and continuous improvement.

Build and support production-grade Python services, libraries, and analytics tools for options portfolio construction, risk analytics, margin monitoring, and trading workflows. Collaborate with portfolio management, research, trading, and sales teams, while serving as a subject matter expert on option markets. Apply software engineering practices and quantitative expertise across financial technology systems.