Platform Engineer – AI/ML Infra & Cloud Automation
Accenture PLC
A complete application in a minute
Tailored resume and cover letter, ready to send.
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
Education
Tools
Job description
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
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
