5 days ago
Base Salary
$220k - $275k/yr
Responsibilities
- Design, develop, and maintain a scalable AI platform for Aladdin.
- Implement and manage Kubernetes clusters for deploying AI models.
- Build platform abstractions for cloud-native infrastructure across AWS, GCP, and Azure.
- Build and maintain automated pipelines for continuous machine-learning model training, testing, and deployment.
- Ensure platform security and compliance.
- Troubleshoot and resolve platform performance and reliability issues.
- Translate business and functional requirements into scalable technical designs.
- Apply quality software engineering practices throughout the software development lifecycle.
- Collaborate with team members across multiple offices and countries.
- Stay current with AI and cloud engineering trends and technologies.
Requirements
- B.S./M.S. degree in Computer Science, Engineering, or a related subject area.
- 10+ years of experience in software and platform engineering.
- Experience designing and building scalable APIs and microservices.
- Strong Kubernetes proficiency, including Helm charts, Kustomize, and custom resource definitions.
- Hands-on experience with AWS, GCP, or Azure.
- Expertise with Docker and containerd.
- Experience with Jenkins, GitHub Actions, and ArgoCD.
- Knowledge of Terraform or CloudFormation for infrastructure as code.
- Understanding of networking, security policies, and API gateways in cloud environments.
- Proficiency in production-grade programming languages such as Rust and C++.
- Understanding of distributed systems and cluster orchestration and management.
- Knowledge of PyTorch, Jax, Numpy, and Python.
- Experience with Prometheus and Grafana.
- Experience working in Agile development teams and collaborating effectively.
- Building SDKs or client libraries is a preferred qualification.
- Knowledge of Spark or Dask is preferred.
- Understanding of GPU orchestration and optimization in Kubernetes is preferred.
- Familiarity with MLOps and machine-learning model lifecycle pipelines is preferred.
- Experience with AI model training and fine-tuning is preferred.
- Familiarity with Kafka and event-driven architecture is preferred.
- Experience with NoSQL datastores such as Cassandra is preferred.
Benefits
- Annual discretionary bonus eligibility and healthcare, leave, and retirement benefits are provided; compensation varies by role, location, and performance.
- Benefits include a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off.
- Hybrid work requires at least four days in the office per week, with flexibility to work from home one day per week; some groups may require more office time.
Tech Stack
Apache CassandraApache KafkaApache SparkAWSAzureC++DockerGitHub ActionsGoogle Cloud PlatformGrafanaHelmJenkinsKubernetesNumPyPrometheusPythonPyTorchRustTerraform
Categories
About BlackRock
BlackRock is a public, New York–based global asset manager and technology provider founded in 1988. It offers investment products—including the iShares ETF franchise—and portfolio and risk management software via the Aladdin platform to institutions, financial advisors, and individual investors, earning primarily management and technology fees. Its shares trade on the NYSE, and the firm serves clients in major markets worldwide.