Cloud Platform Engineer - AI, Officer

Job Title: DevOps Engineer – AI/ML Platform

Experience: 8–12+ years

About The Role We are seeking a skilled DevOps Engineer with experience in AI/ML infrastructure to design, build, and maintain scalable, secure, and reliable cloud platforms that support AI and machine learning workloads. The ideal candidate will have strong expertise in cloud-native technologies, CI/CD, infrastructure automation, Kubernetes, and MLOps practices.

Key Responsibilities

• Design, implement, and manage cloud infrastructure for AI/ML applications and services.
• Build and maintain CI/CD pipelines for application and machine learning model deployments.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
• Deploy and manage containerized workloads using Kubernetes.
• Implement MLOps workflows for model training, validation, deployment, and monitoring.
• Optimize cloud resources for performance, scalability, and cost efficiency.
• Monitor platform health, troubleshoot production issues, and ensure high availability.
• Implement security best practices, including secrets management, IAM, and compliance controls.
• Collaborate with data scientists, ML engineers, software developers, and platform teams.
• Establish observability solutions using logging, monitoring, and tracing tools.

Required Skills DevOps & Cloud

• Strong experience with at least one major cloud platform:

• Amazon Web Services (AWS)
• Microsoft (Azure)

• Google (GCP)

• Expertise in Linux system administration.

• Experience with containerization technologies such as:

• Docker

• Kubernetes

• Strong knowledge of Infrastructure as Code:

• Terraform

• Ansible

• CI/CD tools such as:

• Jenkins
• GitHub Actions
• GitLab CI/CD

AI / MLOps

• Experience supporting AI/ML workloads in production.

• Knowledge of MLOps frameworks and tools:

• MLflow

• Kubeflow

• Experience with model deployment, model serving, and monitoring.
• Understanding of GPU-based infrastructure and distributed training environments.
• Familiarity with vector databases, LLM applications, and generative AI workflows.
• Experience integrating AI services and APIs.

Monitoring & Security

• Monitoring and observability:

• Prometheus
• Grafana

• OpenTelemetry

• Security and secrets management:

• HashiCorp Vault

• Knowledge of DevSecOps practices.

Preferred Qualifications

• Experience with Large Language Models (LLMs) and Generative AI platforms.
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Certifications in AWS, Azure, GCP, Kubernetes, or Terraform.
• Experience managing multi-cloud or hybrid-cloud environments.

Nice-to-Have

• Python scripting and automation.
• Experience with data pipelines and streaming technologies.
• Knowledge of cost optimization for AI infrastructure.
• Experience building internal developer platforms and self-service infrastructure.

Success Criteria

• Highly available and secure AI/ML platform.
• Automated deployment pipelines for applications and models.
• Reduced infrastructure provisioning time through automation.
• Improved reliability, observability, and operational efficiency of AI workloads.

Why this job is important to us The team you will be joining is a part of Charles River Development (or CRD), that became a part of State Street in 2018. CRD helps create enterprise investment management software solutions for large institutions in the areas of institutional investment, wealth management, and hedge funds. Together we have created the first open front-to-back platform - State Street Alpha, that was launched in 2019.

Why this job is important to us

The team you will be joining is a part of Charles River Development (or CRD), that became a part of State Street in 2018. CRD helps create enterprise investment management software solutions for large institutions in the areas of institutional investment, wealth management and hedge funds. Together we have created the first open front-to-back platform - State Street Alpha, that was launched in 2019.

Responsibilities

• Strong experience in enterprise application architecture and platform‑based solution design.
• Demonstrated ability to deliver complex platforms into production, not just define architecture.
• Drive technical excellence by working to analyse, design, develop, test, and debug large and complex software enhancements and solutions within Charles River’s business an…