Role Overview

An established financial institution is seeking a versatile DevOps Engineer to support its Risk Reporting function. The role involves the design, development, and maintenance of cloud-native data infrastructure to enable high-quality, regulatory-compliant reporting. Operating at the intersection of DevOps, data engineering, and cloud architecture, this position requires expertise across both AWS and Azure platforms.

Key Responsibilities

Data Infrastructure Development

• Build and maintain end-to-end data delivery solutions that ingest, process, and transform data into report-ready formats.
• Translate business data requirements into scalable technical architectures.
• Ensure high reliability, performance, and security of data pipelines.

Cloud Engineering & Infrastructure Management

• Design and manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Bicep, ARM, and CloudFormation.
• Configure and manage networking, access controls, and security features across AWS and Azure.
• Optimize infrastructure to support data processing and regulatory reporting workloads.

DevOps & Automation

• Develop and maintain CI/CD pipelines for both data and infrastructure deployments using tools such as Azure DevOps.
• Automate deployment, testing, monitoring, and operational processes.
• Implement comprehensive observability, logging, and alerting systems.

Collaboration & Governance

• Engage with cross-functional teams including developers, architects, and business stakeholders to align solutions with business needs.
• Ensure compliance with data governance, security, and regulatory standards.
• Maintain clear documentation of system architecture, processes, and best practices.

Candidate Profile

Required Skills & Experience

• Proficiency in both AWS (e.g., S3, Glue, IAM, Lambda, VPC) and Azure (e.g., Data Factory, Synapse, Key Vault, VNets, NSGs).
• Advanced knowledge of Infrastructure as Code tools: Terraform, Bicep, ARM templates, CloudFormation.
• Experience with CI/CD tools and pipelines, particularly Azure DevOps.
• Strong scripting skills in Python, PowerShell, or Bash.
• Familiarity with data transformation frameworks (e.g., dbt, PySpark, SQL).
• Hands-on experience with Microsoft SQL Server and Databricks.
• Understanding of data modeling and data warehouse design principles.

Preferred Qualifications

• Background in financial services, risk, or regulatory reporting.
• Industry-recognized certifications in AWS and/or Azure (e.g., AWS Data Engineer, Azure DevOps Engineer).
• Experience with multi-cloud environments or cloud migration initiatives.