Job Description:
- 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.
Requirements:
Qualifications and Profile:
- Master or Bachelor's degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.
- Minimum 8+ 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 skills.
- Good understating of asynchronous systems and message brokers (e.g. Kafka).
- Cloud ops experience (AWS, GPC, etc).
- Experience working in the financial industry or a similarly regulated environment.
- Programming or scripting skills for automation purpose is a plus.
