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Salary
≈ $31k – $88k per year (Estimated)
Location
In office (Bucharest)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 3, 2026. First seen by Alion on Sep 1, 2026. SCOR scores A on the Alion truth index.

Overview
Company
Impact
Profile match
SCOR is a French global reinsurance group headquartered in Paris that provides property and casualty and life and health reinsurance, specialty insurance and investment solutions to insurers and corporate clients. Created in 1970 with the backing of the French government as Societe Commerciale de Reassurance, it is a listed Societas Europaea with offices across Europe, the Americas and Asia, including a large service centre in Bucharest. It hires actuarial, underwriting, legal, finance, data and IT staff such as data engineers, QA engineers and AI engineers, and runs graduate programmes and internships in actuarial work, sustainable finance and audit.

We are looking for a Senior Technical Lead to drive the design, development, and delivery of complex, data-driven applications using Java, JavaScript, Angular, React, and Node.js. This role requires strong technical expertise, leadership skills, and the ability to guide teams in implementing best practices for architecture, data engineering, CI/CD, containerization, and cloud deployment. You will ensure scalability, performance, and security across all solutions.

Technical Leadership & Architecture:

  • Define and enforce architectural standards for application and data platforms.
  • Provide technical guidance on Java, Angular, (React is a plus), Node.js, and data engineering pipelines.
  • Lead design reviews and ensure alignment with business and data strategy.
  • Experience with solution design and architecture is an added advantage.
  • Being able to perform diagnostics on issues inside and outside the codebase.

Data Engineering & Integration:

  • Oversee the design and implementation of data pipelines, ETL processes, and data quality frameworks.
  • Ensure efficient integration of structured and unstructured data sources.

DevOps & Cloud Deployment:

  • Design and maintain CI/CD pipelines using Jenkins or similar tools.
  • Implement containerization and orchestration using Docker and Kubernetes.
  • Deploy and manage applications in cloud environments (Alibaba Cloud, Azure).

Quality & Performance:

  • Implement automated testing frameworks and performance monitoring tools.
  • Ensure applications meet security, scalability, and reliability standards.

Mentorship & Team Development:

  • Lead cross-technical squads in India, ensuring alignment with business goals and platform strategy. As a technical lead or a lead dev, you play a central role with PO and SO on Apex’s squad and transform exchanges into actions within dev team following best practices.
  • Coach and mentor developers and data engineers, fostering a culture of technical excellence.
  • Promote new ways of working using AI tools within the team ensuring high level of quality on the code delivered. Lead workshops to train on new functionalities within dev team.
  • Promote Agile practices and continuous improvement within the team.

Technical Skills:

  • 8+ years of experience in software development with at least 2 years in a technical leadership role.
  • Expert in Java, JavaScript, Angular, React is a plus, and Node.js.
  • Strong experience with data engineering (PySpark, Databricks, ETL, data pipelines, big data frameworks).
  • Proficiency in Docker, Kubernetes, and containerized deployments.
  • Experience with CI/CD tools (Jenkins, GitLab CI) and automated testing frameworks (JUnit, Selenium, Playwright).
  • Familiarity with cloud platforms (Alibaba Cloud, Azure).
  • Strong Adoption of AI tools, AI agents and Agentic AI to bring more efficiency to deliver value. Usage of AI within IDE as Claude code, GitHub copilot. Proactively propose news usage / AI tools on our technical environment being open minded.
  • Solid understanding of security best practices, performance optimization, and microservices architecture.

Preferred Qualifications:

  • Experience in the insurance or reinsurance domain, especially in analytics system (pricing , treaty)
  • Familiarity with data engineering processes within databricks or other systems.
  • Understanding of GDPR and secure data handling practices.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities. (business + dev team)
  • Ability to work independently and coordinate with distributed teams.
  • Proactive mindset with a focus on automation and continuous improvement.
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