Job Summary
This role could be based in Singapore and Hong Kong. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you select a country where the role is based
• The Observability AIOps Engineer, Central Platform Development is responsible for designing, building, and advancing the Bank’s AICOP Agent as a core capability of the Central Monitoring and Observability Platform. The role will develop intelligent and predictive observability capabilities that provide deeper visibility across application and infrastructure services, enabling product owners, developers, and operations teams to proactively identify performance issues, accelerate troubleshooting, and improve service reliability.
• A key purpose of the role is to strengthen Predictive Monitoring, Predictive Observability, and AIOps by enabling the AICOP Agent to identify emerging issues earlier, generate actionable operational insights, reduce manual analysis, and support more proactive and resilient technology operations across the Bank.
Key Responsibilities
• Lead the design, development, and delivery of the Bank’s AICOP Agent and predictive observability capabilities across the Central Monitoring & Observability Platform.
• Apply AIOps, Machine Learning, MLOps, and data engineering techniques to enable proactive issue detection, intelligent insights, and predictive monitoring.
• Develop and integrate ML frameworks and models with observability technologies such as Elastic Observability and Grafana.
• Drive solution architecture, platform engineering, capacity planning, automation, and continuous improvement of monitoring and observability services.
• Ensure platform solutions are scalable, reliable, and delivered in accordance with Enterprise SDLC (eSDLC) standards and engineering practices.
• Collaborate with technology teams to improve application and infrastructure visibility, troubleshooting, performance analysis, and operational resilience.
• Provide technical leadership during weekend releases and major incidents, supporting teams in adopting and operationalizing predictive observability capabilities.
• Automate manual processes and continuously uplift monitoring, observability, AIOps and MLOps capabilities.
Our Ideal Candidate
- 8+ years of IT experience with 4+ years of working as an Observability/Monitoring Specialist, AIOPs specialist, Data Transformation Lead or similar role, with a strong focus on applying observability techniques to real-world problems to reduce incident impacts. Design and develop AI-powered solutions for Observability using Machine Learning techniques and rightful used models.
- Experience of implementing vector DB (e.g Elastic, Milvus) for RAG business cases.
- Participation in Weekend releases, overnight major incidents to help teams enable Observability Predictive Capability is esential as this is key capability for the role.
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch,SKLearn, XGboost etc.) and proficiency in programming languages such as Python, Hive, Spark, Pyspark etc.
- Working experience in AIOps by creating Data ingestion ETL pipelines, aggregation, analytics and Machine Learning.
- Need to have working experience on AIOps and MLOps using traditional and Gen-AI LLM models such as Mistral, Llama, Bert.
- Enables Use of AI in responsible way and enable AI, ML technologies to identify historical trends, dynamic baselining and to drive Root cause analysis actions.
- Enables Use of Machine Learning as an assistant to enable observability analysts, product owners, incident managers, hive leads to come with right actions.
- Addressed problems through risk management and contingency planning.
- Software development life cycle knowledge in terms of analysis, development & testing phases.
- Problem solving skills using Open source technologies and solutions .
- Bachelor’s Degree in computer science or Information Systems or equivalent applicable experience
- Training : Agile Delivery, DevOps, Predictive Monitoring
- Certifications : Machine Learning, AIOps
Role Specific Technical Competencies
- Agile Delivery
- Application Delivery Process
- AIOps Specialist, Machine Learning Frameworks
- Software Product Technical Knowledge
- Monitoring and Observability Experience
- Data Pipelines
- Application Programming, Integration
About Standard Chartered
We're a global bank connecting clients to our differentiated network, offering growth opportunities in the world's most dynamic markets. Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.
Over our 170-year history, and across a unique geographical footprint connecting Asia, Africa and the Middle East to each other and the world, we've built a bank like no other, with diverse capabilities and partnerships that set us apart.
What We Offer
- Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies.
- In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options based around home and office locations, with flexible working patterns.
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global employee assistance programme, sick leave, mental health first-aiders and self-help toolkits.
- A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual, and digital learning.
Visit our careers website to learn more about us: www.sc.com/careers.
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