DevOps Engineer

ORANGE BUSINESS SERVICES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology solutions provider in Singapore is seeking a skilled DevOps Engineer to manage software development processes and create automated delivery pipelines. The ideal candidate will have extensive experience in public cloud infrastructure management, showcasing leadership and problem-solving skills, while collaborating with clients to improve operational efficiency and drive business value. Strong expertise in CI/CD tools and Infrastructure as Code practices is essential for success in this role.

Qualifications

• 6-7 years of professional working experience.
• 5 years managing operations of virtualized platforms.
• 3-4 years of public cloud deployment and management experience.
• Hands-on experience in Infrastructure as Code practices.
• Experience with CI/CD tools and methodologies.

Responsibilities

• Manage software development processes and create automated delivery pipelines.
• Identify and address issues affecting customer satisfaction.
• Collaborate with customers to enhance operational excellence.
• Implement DevSecOps best practices to deliver business value.
• Conduct technical workshops to find automated solutions.

Skills

Automation of complex DevSecOps Pipeline deployments

Excellent communication skills

Leadership mindset

Problem-solving skills

Public cloud infrastructure management

Education

Bachelor's degree in Software Engineering or equivalent

Tools

Terraform

AWS

Azure

GCP

Docker

Kubernetes

Jenkins

Job description

As a DevOps Engineer, you will manage the software development process and create an automated delivery pipeline (CI / CD) to enhance infrastructure and application release efficiency. You are responsible for evaluating customer automation needs, supporting DevSecOps transformations, and designing and implementing high-quality DevOps architectures.

Our ideal candidate has professional experience automating complex DevSecOps Pipeline deployments using modern CI / CD tools, along with a strong background in managing public cloud infrastructure through Infrastructure As Code (AWS, Azure, and GCP).

To be a successful DevOps Engineer, you should demonstrate a leadership mindset, possess solid operational experience, and possess effective problem-solving skills. The candidate should have excellent communication skills, be innovative, and stay current with industry trends and best practices in DevSecOps, AIOps, and FinOps.

Your responsibilities include identifying and addressing issues affecting customer satisfaction, actively collaborating with customers to enhance operational excellence and cost optimization, and implementing DevSecOps best practices to deliver business value. Building and maintaining relationships with key individuals within customer accounts and serving as a trusted advisor are crucial skills for driving the organic growth of customer accounts.

Missions and main activities

The main missions are :

• Automate build, deployment, and other aspects of the software development life cycle.
• Evaluate, Design, Implement, and streamline best practices architecture for Cloud and DevOps Solutions
• Implement microservice / container-based architectures.
• Conduct technical workshops with the customers and find automated solutions to problems that disrupt the availability, performance, and stability of customer systems.
• Work with the customer development, QA, security, and operations teams to understand requirements for functionality, performance, and security of applications.
• Explore and maintain an understanding of the internal architecture and client requirements of our applications.
• Manage the processes of deployments using a blue-green deployment pattern whenever possible.
• Implement the observability tools for infrastructure and applications.
• Ensure proper failover and backup architectures are implemented.
• Audit the customer environment, perform Gap Analysis, and propose remediation plans to address the gaps using Automation tools.
• Suggest FinOps practices for resource and cost optimization.
• Investigate and develop skills in new technologies (Data and AI) and collaborate across the company.
• Monitor system health, performance, and uptime across cloud environments.
• Apply security and compliance best practices in DevOps workflows.
• Collaborate closely with the customer onsite in Singapore as part of the Cloud Center of Excellence (CCoE) team, contributing to the cloud transformation initiative.

Experience

Total minimum professional working experience of 6-7 years .

• Minimum 5 years of experience in managing operations of the virtualized platform.
• Minimum of 3-4 years of Public Cloud (AWS / Azure / GCP) deployment and management experience
• 4 years of application integration and deployment experience with a minimum of 2 years of good hands-on experience with cloud services related to computing, network, storage, content delivery, security, deployment, and implementing Cloud and DevOps best practices.
• Good knowledge of various Cloud services at the SDK Level
• Experience hosting an application on the Public Cloud using Cloud services with IAAS offerings.
• Expertise in Infrastructure capacity sizing and costing of Cloud services to drive optimized solution architecture, leading to optimal infrastructure investment vs performance and scale.
• Experience with software and product development lifecycle (incl. coding, coding standards and reviews, source control, testing, debugging, build, deployment, and operations)
• Good experience in automating manual activities using a scripting language.
• Expert-level experience in writing infrastructure as code templates
• Experience in Cloud Native DevSecOps CI / CD components
• Hands‑on experience using version control systems, build, and deployment tools.
• Good knowledge of Microservices Design and Architecture
• Provide hands‑on technical support for business applications and processes.
• Balance of strategic and tactical skills and the ability to work on cross‑functional teams.
• Ability to review deployment and delivery pipelines i.e., implement initiatives to minimize chances of failure, identify bottlenecks, and troubleshoot issues.
• Excellent time management and organizational skills
• Deep knowledge and experience in complex and large‑scale projects
• Deep understanding of Application, Infrastructure, and security architecture and non‑functional aspects like Performance, Scalability, Reliability, Availability, etc

Technical skills :

• Extensive hands‑on experience using AWS / Azure / GCP Cloud services : Networking, Windows / Linux virtual machines, Container, Storage, LB, Auto Scaling, Serverless Architecture, Managed DB services, DW, Data Factory, and Analytics Services .
• Must have expert‑level hands‑on experience in writing Infrastructure As Code templates using Terraform, CloudFormation / Azure Resource Manager templates / GCP deployment manager .
• Must possess excellent knowledge of Configuration Management tools ( Ansible, Chef, Puppet ).
• Must have strong expertise in operating Linux / Unix environments and scripting languages like Python, Perl, Bash, and PowerShell .
• Expert in architecting and maintaining containerization and virtualization platforms like Docker, Kubernetes, AWS EKS, Azure AKS, GCP GKE, or OpenShift
• Experience with Version control systems like GitHub , AWS Code Commit, and Azure Repos
• Experience with CI / CD tools like Jenkins, GitLab, Bamboo, Circle CI, GitHub Actions, and Argo CD
• Experience with Cloud Native CI / CD tools : AWS Code Build / Pipeline / Deploy and Azure DevOps
• Experience with monitoring and observability tools like AppDynamics, Dynatrace, DataDog, Prometheus, Grafana, and NewRelic
• Familiar with Quality and Security Management tools like SonarQube, Snyk, Aqua Security, Fortify, CheckMarx, Selenium, JUnit, Qualys, Tenable and OWASP ZAP
• Strong understanding of one or more development platforms DotNet technologies, (C#), Java / JavaScript
• Familiarity with REST API / Webservices / Postman
• Familiarity with Data Ingestion, Analytics, and AI technologies
• Knowledge of integration techniques (System & network configuration)
• Knowledge of Databases ( Mysql, MS SQL, MongoDB ) would be a plus.

Soft skills :

• Demonstrate strong analytical and technical problem‑solving skills by leveraging the latest trends in technologies.
• Handle ambiguity and be able to move forward with imperfect information and get things done in a rapidly changing environment.
• Must be comfortable working in an environment where ideas are challenged.
• Should possess good product instinct and excellent project management skills to push projects over the finish line with sound planning and persistent execution.
• Excellent communication, presentation, and conflict resolution skills

Education and certifications :

• Bachelor's degree, Software Engineering, or equivalent work experience
• Professional Cloud Certifications (AWS / Azure / GCP)
• AWS Certified DevOps Engineer Professional preferred
• Azure DevOps Engineer Certification preferred.
• Docket / Kubernetes certification preferred.