Job purpose

We are seeking a Cloud Engineer for a multi-year strategic transformation program modernizing the global middle- and back-office technology platform through a cloud-native, event-driven architecture. The platform leverages AWS, Azure, Kafka-based event streaming, Databricks, modern workflow orchestration, API-led integration and scalable cloud infrastructure.

The Cloud

Engineer will help design, build, automate, deploy and support critical cloud infrastructure services spanning both AWS (primary) and Azure environments. The successful candidate will work closely with architects, application development teams, infrastructure engineering, security and data engineering teams to deliver highly resilient, secure and scalable cloud solutions supporting real-time trade processing, event-driven integration, analytics and regulatory reporting.

Key responsibilities

Multi-cloud infrastructure engineering: build and support cloud infrastructure across AWS and Azure environments, and implement secure connectivity using technologies such as Megaport, ExpressRoute, Direct Connect, Private Endpoints and VPC/VNet peering.

Configure and maintain cloud networking, routing, DNS, load balancing and security controls, and support high-availability and disaster-recovery designs across multiple availability zones and regions.

Event-driven platform engineering: deploy and manage Kafka infrastructure including Confluent Cloud, Confluent Platform and Amazon MSK, and implement event-streaming infrastructure for realtime trade and lifecycle event processing.

Configure topics, partitions, consumer groups, Schema Registry, ACLs and cluster linking / replication, and support event replay, resiliency, monitoring,



recovery and operational controls.

Cloud automation DevOps: develop Infrastructure-as-Code solutions using Terraform, CloudFormation and Azure Bicep (preferred), and build CI/CD pipelines supporting cloud infrastructure deployments.

Automate infrastructure provisioning and environment build processes, and contribute to platformengineering standards and reusable deployment modules.

Platform monitoring observability: implement monitoring and alerting for cloud infrastructure and event platforms using CloudWatch, Azure Monitor, OpenSearch, Grafana and Prometheus.

Monitor Kafka consumer lag, throughput, infrastructure utilization, connectivity and operational health.

Security compliance: implement secure cloud controls consistent with financial-services standards, supporting IAM, Azure Entra ID, RBAC, TLS, encryption at rest and in transit, and secrets management.

Partner with Cyber Security and Infrastructure teams during architecture reviews and approvals.

Data analytics platform support: support connectivity and integration between Kafka platforms and Databricks, and implement secure data-ingestion patterns from real-time event streams into analytics platforms.

Assist with cloud storage services including Amazon S3 and Azure Data Lake Storage (ADLS), and support data governance, retention and resiliency requirements.

Key competencies





Bachelor's degree in Computer Science, Engineering, Information Technology or a related field.

48 years of cloud engineering experience, including 2+ years hands-on AWS and 2+ years handson Azure.

Experience supporting production cloud environments within large enterprises and working within Agile delivery teams.

Solid AWS experience across EC2, VPC, IAM, S3, CloudWatch, Route 53, Security Groups and Amazon MSK.

Strong Azure experience across Azure Networking, Azure Monitor, Azure Databricks, Azure Data Lake Storage and Entra ID.

DevOps expertise: Terraform, GitHub Actions / Azure DevOps, CI/CD pipelines, Linux administration and Shell or Python scripting.

Messaging integration: Apache Kafka, Confluent, event-driven architectures, APIs and microservices, and ESB / integration concepts.

Containers: Docker and Kubernetes (EKS / AKS preferred).

Preferred qualifications

Experience with Confluent Cloud and Cluster Linking.

Experience implementing multi-cloud networking with Megaport.

Experience building real-time event-streaming platforms and working with Databricks.

Experience in Capital Markets, Investment Banking or Financial Services.

Understanding of trade lifecycle concepts across FX, Rates, Derivatives and Securities.

Exposure to event-driven reference architectures and enterprise integration patterns.

AWS and/or Azure cloud certifications.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Associate-Cloud Engineer (Bengaluru)
🏢 Moodys Analytics
📍 Bengaluru