Senior Software Engineer at Vodafone Global Enterprise

Role Purpose/Business Unit:

• The Software Engineer will be responsible for designing, building, and optimizing scalable software solutions that integrate AI and GenAI to unlock business value.
• The role focuses on developing robust, cloud-native, and distributed systems, collaborating closely with the Big Data and RPA teams, and ensuring high-performance production deployments.
• While prior AI/ML expertise is not required, a strong foundation in scalable software engineering and a willingness to learn AI technologies is essential.
• This role is ideal for a highly skilled software engineer who is interested in working on AI-driven innovation within a business-focused technology unit. Training in GenAI and AI model integration will be provided, but a strong foundation in distributed systems, cloud, and scalable architectures is a must.

Your responsibilities will include:

• Design and develop scalable backend systems for high-volume, distributed applications.
• Develop and optimize cloud-native architectures using public cloud services (AWS, Azure, or GCP).
• Implement and maintain APIs and microservices for seamless AI and automation integration.
• Develop CI/CD pipelines and automation frameworks for reliable deployments.
• Collaborate with AI/ML teams to integrate AI-driven functionalities into software solutions.
• Ensure system security, reliability, and performance through best practices.
• Provide Level 2/3 technical support for production systems, debugging critical issues.
• Actively learn and upskill in AI and GenAI technologies as part of an innovation-focused team.

The ideal candidate for this role will have:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, with a focus on scalable systems.
• Proven experience deploying and maintaining production-grade applications in cloud environments.
• Hands-on experience with CI/CD, automation, and modern DevOps practices.
• Previous exposure to AI/ML projects is an advantage but not required.

Core Competencies, Knowledge, and Experience

• Strong backend software engineering expertise in Python, Java, Go, or C++.
• Proficiency in building distributed systems, event-driven architectures, and microservices.
• Experience in cloud platforms (AWS, Azure, or GCP) and cloud-native development.
• Strong DevOps and CI/CD skills, including Docker, Kubernetes, Terraform, and GitHub Actions.
• Database management expertise (SQL & NoSQL: PostgreSQL, MongoDB, DynamoDB, Redis).
• Experience designing RESTful and GraphQL APIs for high-performance applications.
• Knowledge of security best practices in cloud and application development.
• Understanding of data streaming technologies (Kafka, RabbitMQ) is a plus.
• Curiosity and ability to learn AI/ML concepts (training will be provided).

Soft Skills

• Strong analytical and problem-solving mindset for complex technical challenges.
• Effective collaboration across cross-functional teams, including AI, Big Data, and RPA.
• Curiosity and adaptability, with a willingness to learn and experiment with AI-driven solutions.
• Excellent communication skills, capable of explaining technical concepts to non-technical stakeholders.
• Self-motivated and proactive, comfortable working in an innovative and evolving environment.

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies