Associate Director, Enterprise Architecture & DevOps

AIA SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 130,000 - 160,000; Full time

Job summary

A leading financial services firm in Singapore seeks a hands-on leader to drive engineering culture through AI and Machine Learning. The role encompasses strategic initiatives to automate IT operations and ensure alignment with enterprise architecture governance standards. Candidates must have 10-15 years in Enterprise Architecture, with deep expertise in AI/ML operations and DevOps practices, managing a team of solution analysts and engineers to foster collaboration and innovation.

Qualifications

• 10-15 years of experience in Enterprise Architecture, DevOps, and SRE.
• Hands-on experience with AI/ML-driven IT operations.
• Experience in cloud-native architecture and microservices.

Responsibilities

• Design and implement a multi-year strategy to optimize IT operations.
• Lead cultural transformation towards engineering-driven practices.
• Collaborate across teams to ensure shared ownership for application lifecycle.

Skills

AI/ML for Operations

CI/CD pipeline automation

Java

NodeJs

Python

Docker

Kubernetes

Terraform

CloudFormation

Observability Tools

Education

Degree in Information Technology or related field

Tools

ELK

Dynatrace

Prometheus

Grafana

Datadog

Job description

About the Role

The incumbent will be a key driver of our engineering-driven culture and be responsible for designing and implementing strategic initiatives that leverage AI and Machine Learning to create self-healing, automated, and cloud-native operational systems, providing oversight on the enterprise architecture to align with AIA architecture governance. This is a hands-on leadership role for a technically proficient individual with the vision and negotiation skills, leading the team of solution analysts and DevOps engineers to champion change, eliminate manual processes, and foster a culture of collaboration across our engineering, DevOps, and Site Reliability Engineering (SRE) teams.

Key Responsibilities

• Strategy & Leadership: Design and implement a multi-year strategy to automate and optimize IT operations using AI/ML-driven solutions, predictive analytics, and self-healing systems. Drive the cultural change towards a proactive, autonomous operations model and continuous delivery mindset. Evangelize and implement modern SRE practices across engineering teams.
• DevOps Implementation: Lead the organizational cultural transformation towards engineering-driven practices and DevOps excellence
• Process Transformation: Spearhead initiatives to eliminate traditional operations bottlenecks, automate manual processes, and establish new standards for operational efficiency and system reliability.
• Team Collaboration: Foster a collaborative and integrated environment across product engineering, DevOps, and Site Reliability Engineering (SRE) teams to ensure shared ownership and accountability for the full application lifecycle.
• Platform Modernization: Guide the evolution of our CI/CD pipelines, container orchestration on Kubernetes, and cloud-native infrastructure to support autonomous and proactive operations.
• Cultural Change: Act as a change agent within the organization, articulating the vision for an engineering-driven culture and using excellent communication and negotiation skills to build consensus and drive adoption of new methodologies.
• Hands-on Contribution: Remain deeply hands-on with the technology stack, actively contributing to architectural design, code reviews, and key technical decisions to ensure a seamless bridge between innovation and execution.

Required Technical Expertise

• A minimum of 10-15 years of deep Enterprise Architect, DevOps & SRE Experience: Extensive, hands-on experience in Enterprise Architect, DevOps and SRE principles, including CI/CD pipeline automation, infrastructure-as-code, and observability.
• AI/ML for Operations: Proven experience in designing or implementing AI/ML-driven solutions for IT operations, covering both infrastructure and application observability, such as log analysis, anomaly detection, and predictive maintenance.
• Modern Technology Stack: Strong practical experience with technologies:
• Languages: Java, NodeJs, Python
• Front-end: ReactJs
• Containerization & Orchestration: Docker and Kubernetes
• CI/CD: GitHub Actions, Bamboo, or similar tools
• Infrastructure as Code & Observability Tools: Terraform, CloudFormation, ELK, Dynatrace, Prometheus, Grafana, Datadog etc.
• Proficiency in scripting (Python, PowerShell)
• Cloud-Native Architecture: Expertise in designing and managing cloud-native systems, microservices architectures, and distributed systems.
• Experience with microservices architecture and APM/API management.
• Knowledge of security best practices and DevSecOps implementations.
• Ensure automated systems are complied with security, governance, and regulatory standards.
• Stability of system and services.
• Timely and quality deliverables.
• Good quality solution design by implementing different architecture pillars, such as security, scalability, maintainability, performance, etc.
• Architecture strategy, standards, patterns, governance, and audit reporting.
• Improvements on build automation leveraging CI/CD processes, automated testing, unit testing, code coverage and other software development best practices.
• Degree from a recognized University in Information Technology, Computer Science, Computer Engineering
• Certifications in AIOps, DevOps, AWS/Azure/GCP, ITIL, or related fields are a plus. GenAI certifications (e.g., NVIDIA, Google, Databricks) is highly desirable

Special skills

• Requires in-depth experience, knowledge and skills in own discipline
• Uses best practices and knowledge of internal/external business issues to improve products or services
• Ability to work in high-pressure environment, troubleshoot complex issues across on-prem and cloud quickly, and successfully handle multiple priorities.
• Have systematic problem-solving approach, effective communications skills and have sense of ownership and drive.
• Works independently with minimal guidance
• Manage resource and ability to perform capacity planning
• Articulate and proficient in written and spoken English
• Applies best practices and knowledge of internal/external business issues to improve products or services in own discipline
• Has expertise in own discipline
• Solves moderately complex problems; takes a new perspective on existing solutions
• Interprets customer needs, assesses requirements and identifies solutions to non-standard requests
• Explains information and persuades others in straightforward situations
• Makes decisions for own work priorities and allocation of time to meet deadlines
• Is accountable for technical contribution to project team or sub-team
• Builds awareness of costs related to own work
• This incumbent will be reporting to CTO and manage 10 – 15 team members.