Engineer Trainee

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 OverviewWe 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 ResponsibilitiesContribute to the design, development, testing, and deployment of software systems using Java, Python, or related languagesWork with senior engineers to build and maintain scalable cloud applications on AWSParticipate in data engineering workflows, including data ingestion, transformation, and analysisSupport AI/ML projects by helping to integrate models into production systemsApply core software engineering principles, including version control, code review, and automated testingCollaborate in an Agile development environment, attending daily stand-ups and sprint planningDocument technical solutions and share knowledge with the teamRequired QualificationsBachelor’s degree in Computer Science, Software Engineering, or related technical discipline (or equivalent experience)Knowledge of Java or another object-oriented programming languageFamiliarity with software development lifecycle (SDLC) and engineering best practicesUnderstanding of cloud computing principles (preferably AWS)Exposure to data structures, algorithms, and relational/noSQL databasesEffective problem-solving and debugging skillsGood communication and teamwork abilitiesPreferred (Nice To Have)Hands-on experience with AWS services (e.

g. , IAM, Eventbridge, EC2, S3, Lambda, DynamoDB, SageMaker)Exposure to Java Enterprise concepts and serversExposure to AI/ML workflows, tools, or model deploymentFamiliarity with data pipelines (ETL, Apache Airflow, Spark, etc. )Experience with containerization (Docker, Kubernetes)Understanding of REST APIs and modern web servicesWhat You’ll GainMentorship and support from experienced engineersExposure to large-scale systems and enterprise-grade infrastructureOpportunities to work on cutting-edge AI and data initiativesContinuous learning through certifications (e. g. , AWS, Java, ML)Career growth in a fast-paced, tech-forward organizationJob Category: IT - Application DevelopmentPosting End Date: 27/07/2025