Technical Architect

About CASTBusinesses move faster using CAST technology to understand, improve, and transform their software. Through semantic analysis of source code, CAST produces 3D maps and dashboards to navigate inside individual applications and across entire portfolios. This intelligence empowers executives and technology leaders to steer, speed, and report on initiatives such as technical debt, GenAI, modernization, and cloud. As the pioneer of the software intelligence field, CAST is trusted by the world’s leading companies and governments, their consultancies and cloud providers. See it all castsoftware.Com.Job Summary:Working at CAST R&D means being an important part of a highly talented, fast-paced, multicultural and Agile team based in Paris (France) and Bangalore (India). The team builds sophisticated CAST Imaging platform to fully understand the inner structure of the complex IT Systems developed and used by the Fortune 500 companies.CAST Imaging is unlike any other code analyzer: it’s like an MRI examining your custom software applications, enabling you to visualize and understand their intricate inner workings. You can use CAST Imaging to discover and document the makeup of an application, to assess the impact of changes you plan to make, or to identify opportunities to improve your application’s performance, reliability, or security.CAST Imaging runs a deep, semantic and contextual analysis of all artifacts comprising an application, identifies all its code elements and data structures, and maps out all their dependencies. CAST Imaging supports over 150 technologies, including Java/JEE, .NET, C#, Web, Mainframe, Web, SQL, NoSQL, and more.We are looking for a senior Database and Application Architect with deep expertise in graph technologies particularly Neo4j—to drive the architecture, design, and implementation of complex, enterprise-scale product and platform ecosystems.The ideal candidate brings strong backend engineering capabilities, deep expertise in NoSQL, graph, relational, vector databases & related tools and proven experience building distributed, scalable, cloud-native solutions, aligned with CAST’s focus on software intelligence, application modernization, and large-scale architectural analysis.Architect and implement scalable, fault-tolerant distributed queueing solutions to enable efficient communication and high-volume data processing across microservices.Lead initiatives to optimize Neo4j performance by applying advanced querying, indexing, and graph-modeling best practices to ensure fast and reliable database operations.Additionally, provide technical leadership and mentorship to backend developers, fostering a culture of strong engineering principles, collaboration, and continuous learning within the team.Profile:Experience: 7 to 10+ yearsDeep expertise in graph data platforms (Neo4j, OrientDB, JanusGraph, etc.) and strong working knowledge of relational and NoSQL systems, with the ability to model, analyze, and integrate complex enterprise datasets in alignment with CAST’s application intelligence and software analysis capabilities.Proficiency in Java, Go, Python, and JavaScript, combined with strong exposure to containerization and cloud-native environments using Docker, Kubernetes, and infrastructure automation supporting scalable deployment of CAST products and integrations.Extensive experience with major cloud providers (AWS, Azure, GCP), including hands-on understanding of their data ecosystems, migration patterns, and GTM strategies relevant to CAST’s architecture, modernization, and code-analysis solutions.Familiarity with data visualization frameworks (D3.Js, Sigma.Js, Linkurious, etc.) to represent application structures, dependency graphs, and architecture insights surfaced by CAST platforms.Experience in LLM fine-tuning, prompt engineering, or AI solution integration with enterprise applications.Strong communication and presentation skills, capable of translating complex architectural concepts for technical teams, enterprise architects, full stack developers, and strategic partners.Mentor and guide data engineers across varying experience levels, conducting design and code reviews with a focus on architectural integrity, performance, scalability, and adherence to CAST’s best practices. Provide clear, constructive, and timely feedback on code quality, design decisions, and technology choices to ensure high-quality implementations aligned with CAST’s Imaging intelligence and modernization objectives.Proven ability to operate in high-velocity, customer-focused environments, effectively managing multiple engagements.The candidate should have a passion for technology and a flexible, creative approach to problem solving. You should be autonomous and take responsibility for your work.Candidate should have a Bachelor or Master technical degree or equivalent experience. Strong knowledge in software engineering. Proactive Self Starter, creative thinker in designing, developing and supporting applications. Work as part of cross-functional, passionate agile project teams to ensure quality is driven into the heart of the development process.