Senior Cloud Platform Engineer - AVP

Job summary

Barclays is seeking a Senior Cloud Platform Engineer - AVP to join their team in Whippany, NJ. This role involves advancing critical Financial Crime and Anti-Money Laundering (AML) projects by delivering essential software engineering and analytical capabilities. The successful candidate will collaborate with a skilled platform team to build and maintain data architectures, pipelines, data warehouses, and data lakes.

Benefits

Qualifications

• Experience with Cloud, Containers, and DevOps, including AWS (networking, compute, storage), ECS/Kubernetes/OpenShift, CI/CD, and IaC (Terraform/CloudFormation)
• Experience building highly available multi-AZ systems
• Experience in Data and ML Engineering with Databricks (Spark), Python/Spark development, large-scale data pipelines, and workflow orchestration (Airflow)
• Experience in MLOps, Observability, Security, SRE/DevOps practices, model deployment/monitoring, and security/compliance (IAM, secrets management, PII protection)
• Exposure to data streaming and messaging systems like Apache Kafka
• Experience integrating streaming data pipelines with batch processing systems
• Familiarity with deploying and managing microservices and web applications (Java backends, React frontends) on container platforms (ECS, Kubernetes)
• Experience optimizing services for scalability and performance in cloud environments
• Knowledge of relational databases (e.g., PostgreSQL, Amazon RDS), including basic administration, performance tuning, and data backup/recovery strategies

Responsibilities

• Build and maintain systems for data collection, storage, processing, and analysis (data pipelines, data warehouses, data lakes)
• Ensure data accuracy, accessibility, and security
• Build and maintain data architecture pipelines for durable, complete, and consistent data transfer and processing
• Design and implement data warehouses and data lakes managing data volumes and velocity, adhering to security measures
• Develop processing and analysis algorithms for data complexity and volumes
• Collaborate with data scientists to build and deploy machine learning models

Skills

Industry

Relocation