Software Engineer

Cirata · Symphony Engineering Team | 2+ years experience | Full-time | Hybrid (3 days office based)

ABOUT THE ROLE

Cirata Symphony is an intelligent data orchestration platform that moves petabytes of data across on-premises, cloud, and multi-cloud environments — continuously, securely, and without disruption. We work with regulated enterprises in financial services, telecoms, and automotive who cannot afford downtime or data loss.

As an Engineer on the Symphony team, you will contribute to the core services that power real-time data movement, replication, and orchestration. You will work alongside experienced engineers building reliable, high-throughput systems that customers trust with their most critical data.

We are an AI-forward team. We actively embrace AI-assisted development — from coding assistants and AI-powered code review to MCP-connected tooling that integrates directly into customer workflows. We don’t block these tools; we build with them. If you’re curious about how AI can make you a more effective engineer, you’ll fit right in.

WHAT YOU'LL WORK ON

• Backend services in Java and Go that orchestrate live data flows across HDFS, S3, ADLS, GCS, Apache Iceberg, Databricks, and Snowflake
• Replication and synchronisation pipelines that handle petabyte-scale volumes with low latency
• Governance and audit subsystems ensuring compliance-grade security, lineage tracking, and access controls
• Internal tooling and automation that improves reliability, observability, and developer experience
• Unit, integration, and performance tests to maintain confidence in a zero-downtime product
• MCP/AI workflows that unlock customer data

REQUIREMENTS

• 2+ years of professional experience writing production Java, Go, or both
• Solid understanding of concurrent programming and OOP principles
• Experience designing or consuming REST APIs and understanding HTTP semantics
• Comfortable working with Git, code reviews, and CI/CD workflows
• Strong communication skills
• Experience working in Linux environments
• Comfortable using AI coding assistants (GitHub Copilot, Claude, Cursor, or similar) as part of your day-to-day workflow

NICE TO HAVE

• Experience with Apache Hadoop, HDFS, or similar large-scale data platforms
• Familiarity with at least one cloud storage platform (AWS S3, Azure ADLS, or Google Cloud Storage)
• Familiarity with Apache Iceberg, Delta Lake, or open table formats
• Exposure to Apache Kafka or other message streaming systems
• Knowledge of Kubernetes, Docker, or container orchestration
• Experience building or integrating MCP (Model Context Protocol) servers or AI tool-use pipelines

WHAT WE OFFER

• The chance to work on genuine enterprise scale systems
• Mentorship from experienced engineers
• Flexible hybrid working with a collaborative, low-ego engineering culture
• Access to the latest AI developer tooling — we invest in tools that make engineers more effective
• Competitive salary and benefits package

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