AI Augmented Software Engineer – Data Intelligence Platform

Job not on LinkedIn

🔥 2 minutes ago

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Actian

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1980

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Actian is a company that offers data management and analytics platforms, enabling businesses to make confident, data-driven decisions. Their products include a cloud-native SaaS solution and a comprehensive data platform with capabilities in data management, integration, quality, analytics, and app modernization. Actian's technology supports flexible deployment options across on-premises, cloud, and hybrid environments. Their database solutions include NoSQL, RDBMS, and other database management systems ideal for diverse applications. Actian collaborates with major cloud platforms like Google Cloud, AWS, and Microsoft Azure, providing solutions across various industries such as financial services, healthcare, and retail. The company aims to empower organizations by simplifying how data is connected, managed, and analyzed, offering reliable, scalable, and high-performance solutions.

📋 Description

• Design and implement new full-stack features across the Actian Data Intelligence Platform, from backend services to frontend interfaces. • Focus on correctness, performance, and maintainability. • Use AI tools actively and deliberately to accelerate development, reduce boilerplate, explore solutions, improve tests, and focus on complex engineering problems. • Contribute to technical design sessions and code reviews with a security-first mindset. • Participate in incident response and production troubleshooting. • Share knowledge through technical sessions, documentation, and AI-assisted development best practices. • Collaborate with product managers to understand requirements and translate them into well-scoped technical solutions.

🎯 Requirements

• A proven track record of using AI coding assistants — tools like Claude Code or Cursor — and the discipline to know when they help and when they mislead. • Experience developing features for data governance, data catalogs or metadata management platforms in production is a big plus. • Proven experience as a fullstack engineer building and shipping features in production SaaS environments. • End-to-end ownership in your track record, not just task execution. • Strong practical knowledge of Scala or Java on the backend, TypeScript and Angular on the frontend is a big plus. • Genuine willingness to grow in other technologies. • Solid understanding of SaaS architecture and cloud fundamentals, particularly on AWS. • Comfortable with Docker, Kubernetes, GitHub workflows, and CI/CD pipelines. • A genuine agile mindset with preference for short feedback loops, iterative delivery, and collaborative problem-solving. • Full professional proficiency in English.

🏖️ Benefits

• The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. • Collaboration with a passionate and diverse team. • Competitive salary and benefits package. • Flexible work arrangements (remote or hybrid). • Opportunities for professional growth and development.