AI Enabled Full stack Engineer, Aladdin Engineering, Vice President

About this role

Our technology supports Portfolio Management teams overseeing over $14 trillion in assets, and the products you build will sit at the heart of tools used daily by investors making decisions that impact millions of people worldwide. It’s engineering work with real reach, real complexity, and real impact.

Aladdin Portfolio Management Engineering is a global team of passionate product engineers who are on a mission to build out a next generation platform of persona based, workflow driven experience with horizontally scalable & modular architecture.

Responsibilities:

• Actively contributing to Technical Design Deployment Readiness Reviews, Core Reviews and the whole PDLC.

• Accelerate productivity with an AI-enabled PDLC with a strong focus on quality & resiliency.

• Provide operational excellence to our clients with production support with an “SRE” mindset.

• Influence and mentor other engineers in the team, raising the bar on technical excellence.

• Collaborate in a global, multi-office environment, aligning teams across geographies around shared architectural vision.

• Champion a strong engineering culture grounded in continuous learning and optimizing to best practices such as DORA.

• Build domain and technical context quickly and translate that into specifications, plans and actionable Agile backlogs.

Qualifications:

• B.E./B.Tech/MCA or equivalent degree in Computer Science or Engineering

• 8+ years of proven experience

Skills and Experience:

• Proven experience operating as a Senior Engineer or Team Lead, defining and owning technical direction across initiatives with Agile Practices such as Lean or Scaled Agile.

• A proven foundation in modern languages such Core Java and UI technologies such as React & Angular.

• Demonstrated ability to act as a work definer at scale: shaping ambiguous problem spaces into well-structured initiatives, clear architectural runways, and executable delivery plans.

• Strong background designing enterprise scale, distributed systems, balancing functional requirements with non-functional concerns such as resiliency, scalability, latency, and operability.

Hand-on experience with AI enabled SDLC / PDLC practices, including:

• Using AI to accelerate design exploration, prototyping, and architectural decision making

• Applying AI assisted development, testing, code review, and documentation practices

• Embedding AI capabilities into product workflows and platform services responsibly and securely

• Frameworks such as Windsurf & Cursor and GitHub Copilot

• Ability to partner effectively with Product Management, Engineering, and Business leaders to translate strategic objectives into coherent architectural strategies.

• Excellent communication and influencing skills, able to articulate complex architectural concepts to senior stakeholders and align diverse teams behind a shared technical vision.

• Track record at articulating architectural tradeoffs and design options, including impacts on scalability, resilience, cost, and delivery velocity.

• Strong architectural governance skills: setting standards, guiding design reviews, managing technical debt, and ensuring long term platform sustainability.

• Experience of API design principles & Event Driven Architecture.

• Rigorous approach to quality through demonstrable TDD & BDD experience.

Nice to have and opportunities to learn:

• Expertise in Domain Driven Design (DDD), including domain modelling and aligning architecture to complex business domains.

• Front office Portfolio Management or Wealth Management domain experience, with a strong understanding of investment workflows, decision making processes, and the role of technology in supporting portfolio managers and advisors.

• Domain knowledge of asset classes & analytics (e.g., equities, fixed income, multi asset, alternatives) and how their characteristics influence risk, performance, liquidity, and system design.

• Experience with portfolio construction concepts, including asset allocation, constraints, benchmarks, rebalancing, and optimization, and how these map to scalable platform and architecture decisions.

• Exposure to event-driven architectures at scale, including microservices, messaging, and streaming platforms aligned to business domains.

• Experience shaping or contributing to platform strategies that enable multiple product teams to move faster with consistency and autonomy.

• Familiarity with cloud native and hybrid architectures, including patterns for scalability, resilience, and cost aware design in large enterprises – including frameworks like Kubernetes.

• Exposure to modern DevOps and platform engineering practices that support high throughput, high quality delivery at enterprise scale, and demonstrable improvements across DORA metrics.

• Familiarity with micro frontend architectures, including their use in large scale, multi team environments to enable independent domain ownership, parallel delivery, and consistent user experiences across complex platform

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.