Rust Developer

Archer; New York (NY); Sur place; USD 180 000 - 260 000; Plein temps

Résumé du poste

Archer, in collaboration with BlackRock, is seeking an experienced AI Platform Engineer to join the Aladdin Engineering effort. You will design, build, and operate scalable AI platform services that power the Aladdin ecosystem.

The role emphasizes Kubernetes orchestration, cloud-native infrastructure, and end-to-end ML model pipelines across AWS, GCP, or Azure. The ideal candidate brings 10+ years in software/platform engineering, strong API/microservice experience, and proficiency in Rust and

Qualifications

• BS/MS degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in software and platform engineering.
• Proficient in designing and building scalable APIs and microservices.
• Strong Kubernetes proficiency with Helm, Kustomize, CRDs.
• Hands-on experience with AWS, GCP, or Azure.
• ,
• Knowledge of infrastructure as code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and API gateways in cloud environments.
• Proficiency in Rust and C++.
• Distributed systems, cluster orchestration, and management.
• Knowledge of PyTorch, Jax, Numpy and Python.
• Experience with monitoring tools like Prometheus and Grafana.
• Experience in Agile development with collaboration skills.
• Grit in facing technical obstacles.

Responsabilités

• Design, develop, and maintain scalable AI platform for investment tech.
• Implement and manage Kubernetes clusters for deploying AI models.
• Build cloud-native infrastructure across AWS, GCP, Azure.
• Develop automated pipelines for training, testing, deployment of ML models.
• Ensure security and compliance of the platform.
• Troubleshoot and resolve performance/reliability issues.
• Translate requirements into scalable technical designs.
• Apply quality software engineering practices through the SDLC.
• Collaborate with multi-office teams across countries.
• Stay current with AI and cloud engineering trends.

Connaissances

API design

Microservices

Distributed systems

Kubernetes

CI/CD

Rust

C++

Python

Security/compliance

Agile

Team collaboration

Grit

Formation

B.S./M.S. in CS or related

Outils

Jenkins

GitHub Actions

ArgoCD

Helm

Kustomize

Terraform

CloudFormation

Prometheus

Grafana

Description du poste

Archer is collaborating with BlackRock to connect them with exceptional professionals for this role. Join our AI Platform Engineering team as part of Aladdin Engineering and be at the forefront of financial technology innovation. Aladdin Engineering is the team that designs, builds, and runs Aladdin. Within Aladdin Engineering, there are multiple engineering teams focused on building the different products and platform services for Aladdin. As part of the AI Platform Engineering team, you will play a crucial role in shaping the AI ecosystem across the firm and significantly influencing the Aladdin application ecosystem.

We are looking for highly motivated and determined engineers to set and drive a clear AI Software Strategy, delivering cohesive AI experiences across the firm. At BlackRock, you will have the opportunity to work with some of the brightest minds in the industry, leveraging your insights and expertise to advance AI Platform Engineering. We value diversity and believe it is the key to our success, ensuring that your unique skills, curiosity, and passion are nurtured. Join us and grow both technically and personally while working at one of the most recognized financial companies in the world as part of an AI software development team.

Key Responsibilities

• Design, develop, and maintain the next generation of scalable AI platform for the world's best investment management technology platform.
• Implement and manage Kubernetes clusters for deploying AI models.
• Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments.
• Build and maintain automated pipelines for continuous training, testing, and deployment of machine learning models, with integrated enterprise concerns.
• Ensure the security and compliance of the platform.
• Troubleshoot and resolve issues related to platform performance and reliability.
• Refine business and functional requirements and translate them into scalable technical designs.
• Apply quality software engineering practices throughout the software development lifecycle.
• Work with team members in a multi-office, multi-country environment.
• Stay updated with the latest trends and technologies in AI and cloud engineering.

Requirements

• B.S./M.S. degree in Computer Science, Engineering, or a related subject area.
• 10+ years of experience in software and platform engineering.
• Proficiency in designing and building scalable APIs and microservices.
• Strong proficiency in Kubernetes, including Helm charts, Kustomize, and custom resource definitions (CRDs).
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
• Expertise in containerization technologies (Docker, containerd).
• Experience in CI/CD tools (Jenkins, GitHub Actions, ArgoCD).
• Knowledge of infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Solid understanding of networking concepts, security policies, and API gateways in cloud environments.
• Proficiency in production-grade programming languages such as Rust and C++.
• Decent understanding of distributed systems, cluster orchestration and management.
• Good knowledge of data science tools (e.g PyTorch, Jax, Numpy) and programming languages such as Python.
• Experience with monitoring tools (Prometheus, Grafana).
• Experience working in Agile development teams with excellent collaboration skills.
• Grit in the face of technical obstacles.

Nice To Have

• Building SDKs or client libraries to support API consumption.
• Knowledge of distributed data processing frameworks (Spark, Dask).
• Understanding of GPU orchestration and optimization in Kubernetes.
• Familiarity with MLOps and ML model lifecycle pipelines.
• Experience with AI model training and fine-tuning.
• Familiarity with event-driven architecture and messaging frameworks like Kafka.
• Experience with NoSQL datastores like Cassandra.