Software Engineer - Junior at EY wavespace Data & AI hub

At EY wavespace Data & AI hub, we are looking for an energetic Software Engineer with a passion for providing the best products & applications to our clients, focusing on developing the best software architecture and delivering world class code.You need to be a team player working as a core member of a multidisciplinary and cross-functional team with end-to-end responsibility for selected applications and services. Close collaboration within and across the teams and with the clients will be of utmost importance for you.You will have a broad and diverse set of competencies that allow you to develop, operate and maintain the application through highly automated and standardized quick feedback loops and application monitoring. As we follow Agile and DevOps principles, you will be asked to leverage cutting-edge practices to lead self-organizing teams to deliver software that does exactly what is needed.

What we offer

At EY wavespace Data & AI hub, we have a diverse, multicultural team (more than 25 nationalities!) where we work with the most innovative technologies in our field. We offer a broad range of advice to our clients in domains such as Gen AI, customer intelligence, innovation for risk, assurance, tax and insurance, big data architecture, data quality, machine learning, computer vision, advance analytics, etc.

Key requirements:

• Expertise in server-side technologies like Python/Django or NodeJS
• Expertise in frontend technologies like Javascript and Typescript, with frameworks such as Angular8+ (preferred), React or Vue
• Familiarity with SOAP / RESTful APIs
• Repository management capabilities (GIT)
• Microsoft tech stack knowledge or Azure Cloud required
• Bachelor/ Master’s Degree in Computer science or related field
• Fluency in English & excellent oral/written communication skills
• 1-2 years of relevant experience

Optional requirements:

• Containerization technologies and CI/CD expertise is also a plus (Docker, Jenkins, Kubernetes, Ansible, OpenShift, etc.)
• Database management (SQL Server, PostgreSQL, MariaDB)
• Non-SQL Databases (MongoDB, ElasticSearch, CosmoDB, Solr)
• Cloud environment: services management, integration, architectures definition, deployment (preferably Microsoft Azure)
• Azure / Microsoft certifications
• DevOps principles and methodologies

Our commitment to diversity & inclusion

We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.