Software Engineer

Accenture PLC; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Accenture PLC in Singapore seeks a Software Engineer to design, develop, and operate scalable technology platforms that support AI and data-driven solutions. You will work with cross-functional teams to build reliable infrastructure, optimize performance, and enable efficient deployment of large-scale applications and ML workloads.

You will collaborate with engineering, architecture, and operations to evaluate technologies, implement automation, observability, and governance, and troubleshoot

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• 4+ years of software/ platform engineering experience.
• Experience with ETL and data integration.
• Experience deploying production-grade platforms.
• Knowledge of software development practices and system design.
• Excellent communication and collaboration skills.

Responsibilities

• Design and implement scalable infrastructure for large-scale deployment and AI/ML workloads.
• Improve platform performance, reliability, scalability, and cost efficiency.
• Collaborate with engineering, architecture, and operations teams to select solutions.
• Develop automation for provisioning, deployment, and operations.
• Implement observability and monitoring for system health and performance.
• Enforce governance standards and operational best practices for platform management.
• Troubleshoot complex system issues and implement durable fixes.
• Contribute to design discussions and architecture reviews across teams.

Skills

Analytical skills

Problem solving

Communication

Education

Bachelor's degree in Computer Science / Information Technology / Engineering

Tools

Terraform

Kubernetes

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.