At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are
Join us and be part of the adventure of the century!
Responsibilities
- Provides technical leadership on backend and data engineering activities for an energy trading product(s)
- Ensures delivery of secure, high performance applications and data driven capabilities
- Guide engineers, collaborate with business stakeholders, and contribute to architectural and technical decisions.
Requirements
- Graduate of Computer Science or related courses with 10+ years of relevant experience.
- Experience in designing robust web applications in the cloud.
- Experience with serverless and microservices architectures.
- Hands-on experience with Kubernetes and container technologies (Docker).
- Experience using Generative AI to support software development (advantage).
- Strong experience in unit and integration testing.
- Strong expertise in Python (additionally AWS boto3, Django, Flask are an advantage).
- Skilled in designing, deploying, monitoring, and operating scalable, highly available cloud systems
- Strong understanding of CI/CD, DevOps pipelines, and automation.
- Proficiency in object-oriented design patterns and modern engineering principles.
- Good understanding of relational/NoSQL databases and big data concepts (advantage).
- Knowledge of JavaScript/TypeScript technologies (Node.js, Angular, React, Vue, etc.) (advantage).
- Good understanding of application and network security.
Why Join ENGIE?
- Lead impactful projects in healthcare and critical environments
- Be part of a global leader in energy and facilities management
- Collaborative team culture with career development opportunities
Business Unit: GBU Local Energy Infrastructures
Division: LEI SEA - Philippines
Legal Entity: ENGIE South East Asia Pte Ltd under the name ENGIE Services (Philippines)
Company Name: ENGIE Philippines
Minimum Base Salary:
Maximum Base Salary:
Pay Basis: Monthly