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Job Overview
Location
Indiana, USA
Job Type
Full-time
Category
Software Engineering
Date Posted
November 6, 2025
Full Job Description
đź“‹ Description
- • Architect and deliver high-performance Java connectors that bridge Actian Data Intelligence Platform with hundreds of data sources—ranging from legacy RDBMS to modern lake-houses and streaming platforms—ensuring millisecond-level metadata synchronization and zero-downtime upgrades.
- • Own the full connector lifecycle: from parsing complex vendor APIs and reverse-engineering undocumented protocols, to designing resilient retry, caching, and incremental-load strategies that scale to petabyte-scale estates.
- • Collaborate daily with a cross-functional, international squad (Nantes, Paris, Austin, Bengaluru) in two-week sprints; refine user stories in Jira, review pull-requests in GitHub, and demo new capabilities to product managers and field engineers.
- • Write clean, idiomatic Java 17+ code and progressively adopt Scala where functional paradigms improve testability and performance; enforce 80%+ unit-test coverage, mutation testing, and containerized integration tests in Docker & Kubernetes.
- • Build self-healing connectors that gracefully degrade when external systems throttle or change schema, emitting structured logs, metrics, and OpenTelemetry traces that feed our observability stack and reduce MTTR to minutes.
- • Contribute to an internal SDK that standardizes authentication, pagination, rate-limiting, and secret management across all connectors, cutting onboarding time for new data sources from weeks to days.
- • Document every design decision in English (Confluence & code) so that support engineers and customers can troubleshoot without escalating; occasionally author French cheat-sheets for local teams.
- • Champion continuous improvement: run blameless post-mortems, propose architectural spikes, and mentor junior developers through pair-programming and brown-bag sessions.
- • Stay ahead of the data-ecosystem curve—evaluate new connectors for Snowflake, Databricks, BigQuery, Kafka, and GraphQL endpoints—and turn prototypes into production-grade features that expand Actian’s addressable market.
- • Influence roadmap priorities by translating customer pain-points into technical epics, estimating effort using complexity poker, and presenting trade-offs to VP Engineering and stakeholders.
🎯 Requirements
- • 5+ years of professional Java development, including concurrency, generics, and the Spring ecosystem
- • Hands-on experience with at least one JVM language beyond Java (Scala, Kotlin, or Clojure) and willingness to deepen functional-programming skills
- • Proven exposure to the modern data stack: SQL and NoSQL databases, data warehouses, ETL/ELT pipelines, REST and JDBC/ODBC drivers
- • Proficiency with Git workflows, Docker containerization, and CI/CD pipelines (GitHub Actions or Jenkins)
- • Strong written and verbal communication in English; ability to explain complex technical topics to non-engineers
- • Nice-to-have: conversational French, prior connector or integration-platform development, familiarity with Apache Spark or Kafka
🏖️ Benefits
- • Competitive salary benchmarked to French tech hubs plus annual bonus tied to company OKRs
- • Flexible remote-first policy with optional hybrid days in our bright Nantes office overlooking the Erdre river
- • Personal learning budget (€2 000/year) for conferences, certifications, and online courses, plus 10% innovation time every sprint
- • Comprehensive health, dental, and vision coverage for you and your family from day one
- • 35-hour work week, RTT days, and additional paid volunteer time to support causes you care about
Skills & Technologies
About Actian Corporation
Actian Corporation delivers hybrid data management and analytics software for transactional, analytical and hybrid workloads. Its flagship Avalanche cloud data warehouse, Vector analytic database and Ingres transactional engine enable enterprises to unify transactional and analytic data across on-premises, cloud and edge environments. The company serves financial services, healthcare, retail and telecommunications sectors, providing data integration, database management and real-time analytics capabilities that support mission-critical applications and large-scale data processing requirements.
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