Software Engineer

Accenture Southeast Asia
Singapore, Singapore
Salary not specified
Posted
Full-time
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Job Description

About The Role Join Accenture as a Software Engineer and contribute to the design, development, and operation of scalable technology platforms that support advanced artificial intelligence and data-driven solutions. In this role, you will work with cross-functional teams to build reliable infrastructure, improve system performance, and enable the efficient deployment of large-scale applications and machine learning workloads. You will have the opportunity to solve complex technical challenges while contributing to innovative solutions that deliver business value. Key Responsibilities - Design, develop, and implement scalable infrastructure solutions that support large-scale application deployment, data processing, and AI/ML workloads. - Optimize platform performance, reliability, scalability, and cost efficiency through continuous monitoring and improvement initiatives. - Collaborate with engineering, architecture, and operations teams to evaluate technologies and recommend infrastructure solutions aligned with business and technical requirements. - Build and maintain automation capabilities to streamline infrastructure provisioning, deployment, and operational processes. - Develop and implement observability and monitoring solutions to provide visibility into system health, availability, and performance. - Design and enforce operational controls, governance standards, and best practices for platform management and infrastructure operations. - Troubleshoot complex system issues and implement sustainable solutions to improve platform stability and user experience. - Contribute to technical design discussions, architecture reviews, and continuous improvement initiatives across multiple teams. Required Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. - Minimum of 4 years of experience in software engineering, platform engineering, infrastructure engineering, data engineering, or a related technology role. - Strong experience with Extract, Transform, Load (ETL) processes and data integration methodologies. - Experience designing, deploying, and supporting production-grade technology platforms and infrastructure. - Knowledge of software development practices, system design principles, and operational excellence. - Strong analytical and problem-solving skills with the ability to work effectively in a collaborative environment. - Excellent communication and stakeholder management skills. Preferred Qualifications - Advanced proficiency in cloud computing platforms. - Experience with data pipeline orchestration tools and frameworks. - Strong understanding of performance tuning and optimization techniques. - Experience with infrastructure automation and Infrastructure as Code (IaC) practices. - Familiarity with container orchestration technologies and cloud-native platforms. - Exposure to AI/ML platform operations, model deployment, or large-scale distributed computing environments.

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