A senior hands-on DevOps engineer joins the Architecture Operation team at Crédit Agricole CIB's Singapore IT hub, supporting banking applications day to day while improving reliability (monitoring, alerting, RCA), building CI/CD pipelines, and bridging Dev and Ops. Core stack: Java/Spring Boot, Docker, Kubernetes, Prometheus, Grafana, ELK, Git, and SQL databases.
Who we are
Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB)
is the corporate and investment banking arm of Crédit Agricole Group, world's 10th largest bank by total assets.
Our Singapore center is the 2nd largest IT hub for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 countries by:
Envisioning and preparing the Bank's futures information systems
Collaborating and supporting core banking flagships and transverse areas in their large-scale development projects
Providing premium In-house Banking applications
This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.
Position
We are looking for a Senior DevOps Engineer to join our Architecture Operation (AO) team under Data and Regulatory Reporting department.
This a very hands-on technical role to drive continuous improvement initiatives on top of day-to-day BAU support. We need someone with fresh and relevant ideas, who is passionate about learning new things and wants to develop themselves further.
Main Responsibilities
Providing primary operational technical support and assist the functional teams.
Improving reliability and quality of our application (automation, monitoring, alerting, security, RCA etc.).
Collaborate with application teams to troubleshoot and resolve environment / middleware technical issues efficiently.
Reducing time-to-market by implementing CI/CD pipelines wherever possible.
Working closely with application teams, infrastructure and production teams to deliver vulnerability, obsolesce remediation.
Managing technical issues, escalations and ensuring good level of delivery.
Maintain, improve and standardize existing workflow processes and framework.
Promoting knowledge sharing within the organization (trainings, documentation, etc.).
Bridge the gap between Dev and Ops on operations side.
Qualifications and Profile
Master or Bachelor's degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties
5+ years of experience in DevOps engineering, application services
Demonstrated ability to effectively utilize AI-powered tools (e.g., GitHub, Copilot) to enhance productivity and problem-solving capabilities
Understanding of AI/ML fundamentals including prompt engineering, model limitations, and best practices for human-AI collaboration
Experience in evaluating AI-generated outputs for accuracy, security, and alignment with business requirements
Ability to identify opportunities for AI integration and automation within existing workflows and processes
Technical
Basic/intermediate knowledge of databases concepts / scripting (SQL Server, PostgreSQL preferred)
Proficient in git.
Hand-on experience with Java technology stack, Spring Boot ecosystem.
Basic/intermediate experience with ELK
Proficient in Docker & Kubernetes.
Hand-on experience Prometheus / Grafana.
Good knowledge of Linux.
Knowledge of ITIL.
Nice to have Atlassian Bamboo / Jenkins / GitLab runners.
Good understating of asynchronous systems and message brokers (e.g. Kafka).
Nice to have cloud ops experience (AWS, GPC, etc).