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Senior Full Stack Engineer

Exclusive opportunity

Hybrid

Senior Full Stack Engineer

Sales Consulting

Senior Full Stack Engineer

Skills

SQL QueriesTypescriptJavaSpring BootSnowflakeDatabricksGitLabMachine LearningAIGDPRProcess ImprovementComplianceAzure

8 days ago

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Important information


Contract type:

Permanent

Location:

Bucharest, Romania

Work mode:

Hybrid

Published on:

14 October 2026

What they need


Duties & responsibilities

  • Solution Design & Implementation: You will deliver end-to-end features across Java and Angular.
  • Backend Engineering (Java): You will build Java REST APIs and improve standards and libraries.
  • Frontend Engineering (Angular): You will build accessible, responsive Angular components integrated with APIs.
  • Data & SQL Server: You will optimize SQL Server queries, schemas, performance, and data integrity.
  • DevOps & Quality: You will improve CI/CD, tests, reviews, monitoring, and reliability.
  • Mentorship & Collaboration: You will mentor engineers and collaborate via design, pairing, and reviews.
  • Process Improvement: You will improve processes, UX, efficiency, and stability, and reduce complexity.
  • Security, Compliance & Data Protection: You will follow secure coding practices and PII compliance requirements.
  • Problem Resolution: You will lead issue resolution and root-cause analysis for critical operations.

Required experience & competencies

  • 5+ years designing and delivering enterprise solutions (insurance/finance preferred).
  • Backend (Java): Strong Java/Spring Boot APIs, security, integrations.
  • Frontend (Angular): Angular, TypeScript, RxJS; build testable UIs.
  • Database (SQL Server): SQL Server schema, indexing, tuning, stored procedures.
  • Cloud/DevOps: Azure, CI/CD (Gitlab preferably), containers, monitoring, configuration.
  • Degree in Computer Science, Management of Information Systems, or a related analytical field or equivalent experience.
  • Fluency in English, written and spoken.

Nice-to-Haves:

  • AI/ML Exposure: Ability to integrate AI/ML model endpoints into applications and CI/CD pipelines using Azure ML or similar.
  • Data Technologies: Familiarity with Databricks, Snowflake, or similar.
  • DevOps Tooling: Hands-on experience using GitLab or Azure DevOps to manage source code, build CI/CD pipelines, and support automated deployments.
  • Industry Knowledge: Insurance/reinsurance or financial services domain experience.

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