About this role

You are:

Curious and eager to learn new things, with a healthy disrespect for the status quo

Excited to learn about new technologies and strive to reach new levels of efficiencies in the platform we provide.

Passionate about technology, with personal ownership for the work you do

Data-focused, with an eye for the details that matter to solve the problem

Proficient in using AI for day-to-day engineering work.

We are:

Passionate about building quality software and scaling technology to meet the needs of tomorrow

Building solutions for BlackRock and over 200 institutions that rely on our technology who use our technology

The team behind Aladdin Graph-enabling API-first engineering through a schema repository, governance, and production runtime infrastructure for APIs and events.

Focused on API quality and consistency at scale, using governance and review standards to help teams ship better APIs faster.

Building high quality software in Java, Python and Golang using technologies like highly available distributed NoSQL data storage platforms, scalable search and indexing platforms, Redis, distributed event streaming and messaging platforms, Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling, and more.

Investing in developer experience: clear standards, repeatable "golden paths," and tooling that makes onboarding and adoption easier.

You have (Must have):

Minimum of 3+ years software engineering work experience on large-scale software development and deployment.

BS/MS in Computer Science from an accredited university (or equivalent practical experience). Strong programming skills in Java, Python, or Golang (and willingness to learn).

Experience in Linux shell and comfort troubleshooting production-style issues (logs, configs, basic networking).

You have (Nice to have):

Experience with event messaging systems like distributed event streaming and messaging platforms and event-driven architectures.

Experience with API frameworks, Google API Improvement Proposals (AIPs), and protobuf.

Experience with gRPC, including defining service contracts using Protocol Buffers and implementing gRPC clients and servers.

Familiarity with API governance models and review expectations that keep APIs consistent and high quality.
For New York, NY Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

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.