Middle Software Engineer – Catalog, EDM
Middle Software Engineer – Catalog, EDM
About Our Client
Our client is a leading enterprise data platform company building an open, high- performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.
About the Role
We are looking for a Middle Software Engineer (1.5–3.5 years of experience) to join the sustaining engineering team for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and optimize Apache Iceberg tables for existing customers. The team's mandate is to keep these services running reliably for current clients: investigating and fixing customer- reported issues, resolving defects, addressing performance regressions, and keeping dependencies and security patches current. This is a maintenance and support role, not a feature-development role.
This is a backend Java role in a multithreaded, distributed environment where stability and availability for production customers are the baseline expectations. You will work with hands-on mentorship from senior engineers and in daily collaboration with US-based engineering leads and support teams.
Responsibilities
- Investigate, reproduce, and fix customer-reported issues and defects in the catalog and data-management services (Java)
- Diagnose production problems from logs, metrics, and thread or heap dumps, and work with support teams and solution architects on customer escalations
- Address performance regressions and stability issues in multithreaded, distributed services
- Keep the services current: dependency and library upgrades, security patches, and compatibility fixes
Middle Software Engineer – Catalog, EDM
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- Write regression tests and small supportability improvements (logging, metrics, diagnostics) so issues are easier to catch and triage next time
- Take part in code reviews and follow the team's release and hotfix process
- Track and apply relevant upstream fixes from the Apache Foundation open-source projects used by the platform
- Communicate status, root causes, and blockers clearly in daily syncs with US-based engineering leads
Required Qualifications
- B.S. or M.S. in Computer Science or a related field
- 1.5–3.5 years of professional software engineering experience, preferably in backend or data-intensive systems
- Strong Java programming skills: solid command of the language, the JVM ecosystem, and standard tooling (Maven or Gradle, JUnit)
- Comfortable debugging and supporting production systems — reading logs and stack traces, reproducing issues, and finding root causes
- Good grounding in data structures and algorithms
- Working knowledge of multithreaded and asynchronous programming in Java (java.util.concurrent, executors, futures) and the motivation to go deeper
- Care for engineering quality — tests, code reviews, and an understanding of why availability, resiliency, and zero-downtime upgrades matter
- Comfort with a fast-moving environment, ownership of your work, and an eagerness to learn from and be mentored by senior teammates
- Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
- English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
- Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings
Desired Skills
- C++ experience — reading or writing performance-sensitive native code
- Exposure to database internals or query planning
- Familiarity with distributed systems concepts: concurrency control, data replication, storage systems
Middle Software Engineer – Catalog, EDM
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- Apache Iceberg or other open table formats (Delta Lake, Hudi)
- Messaging systems: Kafka, NATS, or cloud pub/sub services
- Contributions to open-source projects (Apache projects especially valued)