Software Engineering Lead

hace 2 días

Madrid, Madrid, España Industrial And Financial Systems A tiempo completo
About the Role

We are seeking a highly skilled Software Engineering Lead to join our team at Industrial and Financial Systems (IFS). As a key member of our engineering team, you will be responsible for leading the development of our cloud-based software solutions.

Key Responsibilities
  • Lead the design, development, and deployment of cloud-based software solutions using Java and SAAS technologies.
  • Collaborate with cross-functional teams to define and document requirements, ensuring clarity and accuracy.
  • Own sprint refinement and planning sessions, guiding development strategies and promoting an efficient software development life cycle (SDLC).
  • Ensure the highest quality of software through meticulous testing and debugging, aligning with our standards for completion.
  • Develop and maintain models for data, software, and network architecture that meet organizational standards and promote effective information exchange.
  • Lead in identifying and analyzing the root causes of issues during testing phases and incident management.
  • Actively participate in code reviews to elevate code quality and maintain consistency across projects.
  • Oversee the CI/CD pipeline management for swift and secure code deployment.
  • Regularly monitor the performance, security, and user experience of all applications under your team's purview, identifying and addressing areas for improvement with a focus on continuous enhancement.
Requirements
  • Degree in Computer Science or equivalent professional experience.
  • 4 - 5 years of data engineering and cloud experience.
  • 4 - 5 years experience as a software developer using OOP concepts and languages like Java or Python.
  • Experience with cloud-based platforms and building data engineering solutions (AWS, Azure, or GCP).
  • Hands-on experience with building data lakes and end-to-end ETL/ELT pipelines.
  • Hands-on experience working with data warehousing technologies (BigQuery, Redshift, Snowflake).
  • Experience with data modeling is a plus.
  • Hands-on experience with writing and optimizing SQL-based code.
  • Experience with database performance optimization and tuning.
  • Familiarity with Continuous Integration/Continuous Deployment (CI/CD) Pipelines (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline, GCP Cloud Build).
  • Experience with Containerization and Orchestration (e.g., Docker, Kubernetes) in cloud environments such as AWS or GCP.
  • Proficiency with SQL and NoSQL Databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB, GCP Firestore).
  • Proficiency working with RESTful APIs and data handling.
  • An API-first approach, loosely coupled systems, and domain-driven design.
  • A pride in code quality and approaches towards testing.
  • Demonstrable experience working with legacy code and the ability to optimize existing systems.
  • A track record for building high-quality, maintainable, testable, and scalable software.
  • A strength in pragmatically designing, building, and deploying scalable, highly-available systems.
  • An ability to think abstractly and are comfortable with ambiguous/undefined problems.
  • Excellent communication skills: you understand user needs and have the ability to translate them into actionable pieces of work.
  • An attitude of leaving code/processes/people better than when you got there.
  • A belief that companies should be socially responsible.

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