Open role · Engineering

Software Engineer, Data Platform Product

Work mode: Remote (EST preferred) Engagement type: Full-time Contract Req ID: GDBI-1K3M5H9J

Role summary

Build the reusable data infrastructure behind NoèmeX products and enterprise platforms, from event processing and orchestration to real-time analytics, data quality and AI workflows.

What you’ll do

Own platform capabilities that make enterprise data easier to ingest, process, govern and use.
Build event streaming, orchestration, batch and real-time processing systems at production scale.
Develop reusable services for data quality, integration, analytics and AI-enabled product features.
Work across cloud infrastructure, backend services and distributed data-processing frameworks.
Operate critical systems in production and continuously improve reliability, latency and cost.
Collaborate with Product, Data Science, Data Engineering and client teams on platform roadmaps.

What you should bring

Strong software-engineering experience with meaningful work on data infrastructure or backend platforms.
Experience designing scalable distributed systems and operating them in production.
Strong programming and SQL skills with practical cloud experience on AWS and/or Azure.
Knowledge of event-driven architectures, workflow orchestration and modern data patterns.
Comfort working across infrastructure and application layers rather than in a single narrow stack.
Clear technical communication and a strong ownership mindset.

Useful additional experience

Kafka or comparable streaming technologies
Databricks / Spark / lakehouse experience
Infrastructure-as-code and Kubernetes
Data quality, lineage or governance tooling

How we work

NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.

Hiring process

The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.

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