Engineering ServiceCloud & Data Service

Cloud Infrastructure & Data Systems Engineering

IndoTium engineers cloud-aware infrastructure, distributed database architectures, automated CI/CD pipelines, and real-time data streaming solutions.

Cloud & Data Systems

Infrastructure-as-Code & High-Throughput Pipelines

Resilient, scalable cloud systems built for zero downtime and cost efficiency.

Automated, secure cloud environment provisioning and management.

•Infrastructure-as-Code (Terraform, Ansible, Pulumi) template management

•Kubernetes and container orchestration for auto-scaling workloads

•Resilience and disaster-recovery configuration scoped to the target environment

Designing high-throughput data processing systems.

•Real-time event streaming (Kafka, RabbitMQ) data architecture

•Cloud data warehouse integration (PostgreSQL, ClickHouse, Snowflake)

•Automated data quality validation and schema enforcement

Cloud Engineering

Schedule a technical session with cloud engineers to review Kubernetes setup, IaC blueprints, or data pipelines.