Build and maintain backend services that ingest and normalise OT/IoT telemetry, implement protocol adapters (OPC-UA, MODBUS, MQTT), integrate with message brokers and time-series architectures, write automated tests, collaborate on API contracts (REST/WebSocket), support CI/CD deployments, and troubleshoot field device connectivity and commissioning.
About the Role
We are seeking a Backend Software Engineer to support the delivery of a large-scale Smart City initiative. This role focuses on building robust backend systems that connect operational technology (OT) field devices with digital platforms, enabling real-time data integration and operational insights. You will play a key role in delivering production-grade systems in a live, complex environment.
Key Responsibilities• Develop and maintain backend services for OT/IoT data ingestion, including implementation of industrial communication protocols such as OPC-UA, MODBUS, and MQTT
• Build and optimize data pipelines to process, normalize, and route real-time telemetry to downstream systems and visualization platforms
• Integrate backend services with frontend and platform components through API contracts (REST/WebSocket)
• Apply AI-assisted development tools to improve coding efficiency, testing, and validation processes
• Design and maintain automated test suites for protocol adapters, data processing logic, and integration endpoints
• Contribute to CI/CD pipelines, code reviews, and technical documentation to ensure high-quality delivery
• Troubleshoot connectivity and protocol issues, collaborating with cross-functional teams to resolve field-level challenges
• Build and optimize data pipelines to process, normalize, and route real-time telemetry to downstream systems and visualization platforms
• Integrate backend services with frontend and platform components through API contracts (REST/WebSocket)
• Apply AI-assisted development tools to improve coding efficiency, testing, and validation processes
• Design and maintain automated test suites for protocol adapters, data processing logic, and integration endpoints
• Contribute to CI/CD pipelines, code reviews, and technical documentation to ensure high-quality delivery
• Troubleshoot connectivity and protocol issues, collaborating with cross-functional teams to resolve field-level challenges
Required Qualifications
• Minimum 4 years of experience in backend or systems software engineering, preferably within OT/IoT environments
• Hands-on experience with industrial communication protocols (OPC-UA, MODBUS, MQTT)
• Proficiency in at least one backend programming language (e.g., Python, Node.js, Go, or Java)
• Experience working with message brokers and event-driven or time-series data architectures
• Proven experience in writing unit and integration tests using modern testing frameworks
• Practical experience using AI coding tools to support software development and testing workflows
• Strong problem-solving skills and ability to work in cross-functional teams
Preferred Qualifications• Hands-on experience with industrial communication protocols (OPC-UA, MODBUS, MQTT)
• Proficiency in at least one backend programming language (e.g., Python, Node.js, Go, or Java)
• Experience working with message brokers and event-driven or time-series data architectures
• Proven experience in writing unit and integration tests using modern testing frameworks
• Practical experience using AI coding tools to support software development and testing workflows
• Strong problem-solving skills and ability to work in cross-functional teams
• Experience with digital twin platforms or industrial IoT ecosystems
• Familiarity with OT security practices such as network segmentation and secure device communication
• Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines
• Knowledge of additional industrial protocols such as SCADA, BACnet, or DNP3
• Exposure to real-time data ingestion and visualization systems
• Familiarity with OT security practices such as network segmentation and secure device communication
• Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines
• Knowledge of additional industrial protocols such as SCADA, BACnet, or DNP3
• Exposure to real-time data ingestion and visualization systems
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Singapore, Singapore, SGP Office
250 North Bridge Road, Singapore, Singapore, 179101
Similar Jobs
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead a team to design and implement CMOS device solutions for NAND products, improving yield and reliability while managing cross-department collaborations and fostering team development.
Top Skills:
AICmosNand
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead package reliability, qualification, and failure analysis across NPI and HVM. Drive test methodology, risk assessment, DFR/DFM integration, cross-functional collaboration, team development, and use of data/AI to improve reliability and enable product ramps across mobile, automotive, data center, and AI/HPC segments.
Top Skills:
8D Root Cause AnalysisAec-QAi-Enabled ToolsBoard-Level ReliabilityCross-SectioningDesign For Manufacturability (Dfm)Design For Reliability (Dfr)Digital Quality SystemsDramEdxFailure AnalysisHastHbmHybrid BondingJedecMslNandOsatsPreconditioningPredictive Reliability AnalyticsSamSemSystem-In-PackageTemperature CyclingX-Ray
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design and implement analytics, optimization, and web solutions to improve semiconductor manufacturing efficiency. Develop models for scheduling, capacity, and cycle time, collaborate with stakeholders, manage project requirements and deliverables, and communicate findings to varied audiences.
Top Skills:
AWSAzureBusiness IntelligenceC#Data AnalyticsGCPMachine LearningPythonSQLWeb Application
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

.jpeg)