The transformation imperative is urgent, challenging and opportunity-rich, interested to join us?
Your Key Responsibilities
Software Development
Design, develop, and maintain enterprise-grade cloud-native applications using Java and Spring Boot.
Build scalable microservices and APIs following cloud-native architecture principles.
Implement high-quality, maintainable, and secure code using modern engineering practices.
Participate in application modernization initiatives, including migration and refactoring efforts.
AI-Native Engineering
Utilize GitHub Copilot, AI coding assistants, and agentic development tools to improve productivity and software quality.
Work effectively with AI-generated code, reviewing, validating, and refining outputs to ensure production readiness.
Leverage AI-assisted testing, debugging, documentation, and code review capabilities.
Contribute to the development of reusable prompts, engineering standards, and AI-enabled delivery practices.
Architecture & Integration
Design and implement RESTful APIs, event-driven integrations, and distributed system components.
Work with messaging and streaming platforms such as Kafka or equivalent technologies.
Apply design patterns and architectural best practices to create resilient and scalable solutions.
Collaborate with architects and technical leads to deliver solution designs aligned with business requirements.
Quality Engineering
Develop automated unit, integration, and end-to-end tests.
Perform code reviews, focusing on quality, security, performance, and maintainability.
Implement observability, monitoring, logging, and troubleshooting capabilities.
Ensure applications meet security, compliance, and operational requirements.
Cloud & DevOps
Build and deploy applications using CI/CD pipelines.
Work within Azure or other public cloud environments.
Utilize containerization technologies such as Docker and Kubernetes.
To qualify for the role, you should have
Education & Work Experience
Bachelor’s degree in Computer Engineering, Software Engineering, Information Technology/Systems or other related field
Between 3 to 6 years related work experience
Experience implementation software following agile methodologies
Technical Skills
Service Oriented environments and Spring Framework (Spring Boot, Spring, Spring MVC,)
Implementing cloud-native microservices
Source code management, continuous integration and automated deployment
Knowledge of securing applications, including authentication, authorization, and encryption.
Very good knowledge of SQL and DBMS
Knowledge of clean code and unit testing
Strong communication skills
Excellent English language verbal and written communication
AI Engineering Skills
Hands-on experience using AI development tools such as GitHub Copilot or equivalent platforms.
Ability to critically evaluate AI-generated code and identify functional, architectural, security, and performance issues.
Understanding of prompt engineering and AI-native development workflows.
Experience incorporating agentic AI into engineering practices and team delivery processes.
Ideally you should also have
Certificates proving certain skills such as Java, Spring Boot, SQL or related skills
Certificates related to agentic software delivery.
Knowledge of Docker and Kubernetes
Experience working with AWS or Azure cloud platforms
Experience with events-driven architectures using Kafka or similar technologies
Experience using Spring Cloud Config Server or other similar platforms
Skills and attributes for success
Experience working in international projects
Ability to lead and coach other developers
Ability to work in a dynamic environment and have excellent organizational, interpersonal, written, and verbal communication skills
Self-driven and flexible, can work autonomously with a proven work ethic
Effectively leverages AI to improve engineering productivity without compromising standards.
Demonstrates strong architectural thinking and technical leadership.
Contributes to reusable engineering assets, standards, and AI-native development practices.
Acts as a multiplier for team productivity through automation and knowledge sharing.
Team player who enjoys working with people from different backgrounds and disciplines
Able to exhibit a high level of confidentiality
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
In addition, but not limited to our benefits include
13th salary and yearly bonus
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
Are you ready to shape your future with confidence? Apply today.
To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories
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