Engineer Trainee
Sun Life Ireland
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Sun Life
Sun Life is a financial services company providing financial planning, life insurance, health insurance, investments and more.You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.
Job Description:
Role Overview
We are seeking a motivated and curious Graduate Software Engineer to join our growing engineering team. You will work on exciting real-world problems and contribute to the development of innovative software solutions, with a strong focus on cloud-native systems, enterprise data-driven applications, and AI/ML tooling.
This role is ideal for recent graduates with a background in computer science, software engineering, or related technical fields, looking to kickstart their career in a supportive and fast-paced environment.
Key Responsibilities
- Contribute to the design, development, testing, and deployment of software systems using Java, Python, or related languages
- Work with senior engineers to build and maintain scalable cloud applications on AWS
- Participate in data engineering workflows, including data ingestion, transformation, and analysis
- Support AI/ML projects by helping to integrate models into production systems
- Apply core software engineering principles, including version control, code review, and automated testing
- Collaborate in an Agile development environment, attending daily stand-ups and sprint planning
- Document technical solutions and share knowledge with the team
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline (or equivalent experience)
- Knowledge of Java or another object-oriented programming language
- Familiarity with software development lifecycle (SDLC) and engineering best practices
- Understanding of cloud computing principles (preferably AWS)
- Exposure to data structures, algorithms, and relational/noSQL databases
- Effective problem-solving and debugging skills
- Good communication and teamwork abilities
Preferred (Nice to Have)
- Hands-on experience with AWS services (e.g., IAM, Eventbridge, EC2, S3, Lambda, DynamoDB, SageMaker)
- Exposure to Java Enterprise concepts and servers
- Exposure to AI/ML workflows, tools, or model deployment
- Familiarity with data pipelines (ETL, Apache Airflow, Spark, etc.)
- Experience with containerization (Docker, Kubernetes)
- Understanding of REST APIs and modern web services
What You’ll Gain
- Mentorship and support from experienced engineers
- Exposure to large-scale systems and enterprise-grade infrastructure
- Opportunities to work on cutting-edge AI and data initiatives
- Continuous learning through certifications (e.g., AWS, Java, ML)
- Career growth in a fast-paced, tech-forward organization
Job Category:
IT - Application DevelopmentPosting End Date:
27/07/2025* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs AWS Computer Science Data pipelines Docker DynamoDB EC2 Engineering ETL Java Kubernetes Lambda Machine Learning Model deployment NoSQL OOP Pipelines Python SageMaker SDLC Spark Testing
Perks/benefits: Career development
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