Cloud Infrastructure Engineer
3 weeks ago
Job Summary:
We are seeking a talented, collaborative, and high-energy engineer with extensive technical expertise to help build, test, and release the next generation of our cloud-based Expert Solutions.
As a Cloud Infrastructure Engineer, you will lead the design and implementation of the infrastructure and deployment pipelines for our applications, maintaining and improving the reliability of our existing systems.
You will work closely with the Wolters Kluwer Product Teams to successfully implement and bring learnings through continuous improvements, ensuring our services and solutions are delivered efficiently and with the highest level of quality.
Essential Duties and Responsibilities:
- Design, implement, and automate the creation of Cloud Infrastructure in Azure & AWS using Infrastructure as Code tools such as Terraform, Ansible, and Jenkins.
- Provide leadership, experience, and mentoring on the adoption and usage of Infrastructure as Code automation across Service Operations and Delivery and as well as the broader organization.
- Build and help transform towards container and serverless compute architectures, such as AKS, EKS, Docker, and Azure Functions.
- Build and help maintain CI/CD pipelines and orchestrations across multiple environments.
- Advise, implement, and support the adoption of Cloud Native solutions as appropriate to the situation and needs.
- Build effective Observability of managed solutions, including troubleshooting issues as they arise.
- Ensure the infrastructure, automation, monitoring, and CI/CD solutions for LR/DXG are compatible with the broader organizational DevOps and Security patterns and processes.
- Mentor a team of DevOps engineers, fostering a culture of collaboration and continuous learning.
- Explore new technologies, development patterns, and partake in pilots/POC/technology evaluations.
- Conduct work activities using SRE principles, such as resilience, metrics, capacity planning, toil, Incident management, and security.
- Provide input into architecture and engineering standards.
- Deploy and maintain critical applications.
- Provide input into designing new systems and modernizing existing applications.
- Identify areas in need of engineering improvements and proposing replacement strategies.
- Resolve Production incidents and contribute to root cause analysis.
- Improve knowledge sharing across the organization on automation best practices.
- Have on-call responsibilities in rotation within the Service Delivery and Operations team.
Job Qualifications: Hold at least two Azure &/or AWS Certifications.
Education: Bachelor's Engineering and a Master's degree in Computer Science or a related field.
Required Experience:
- Minimum 10 years of software-related experience required, with a mixture of Site Reliability, DevOps, or Release Engineering experience with Software Engineering experience in backend services, middleware, or data systems.
- Strong background in software development, with experience in languages such as Python, Ruby, or Java.
- Possess recent experience with Cloud infrastructure (Azure and AWS).
- Proficient in Shell Scripting Languages (PowerShell & Bash).
- Understanding of the core AWS and Azure services.
- Proficiency with automation and configuration management tools such as Ansible, Puppet, or Chef.
- Experience with infrastructure as code tools such as Terraform or CloudFormation.
- Experience with continuous integration and deployment tools such as Azure DevOps, Jenkins, or Travis CI.
- Experience in leading a team of DevOps engineers.
- Able to communicate complex technical projects to multiple staff types effectively in order to achieve buy-in on plans and proposals.
- Strong attention to detail with excellent problem-solving skills.
- Experience and deep commitment to the transformation to a DevOps culture focusing on continuous integration – full lifecycle of building, automated, and performance testing, and automating deployment.
- Experience building platforms for Observability and defining standard operating procedures.
- Experience with diagnostic tools and script automation of Windows and Linux.
Preferred Experience:
- Experience maintaining and deploying highly available, fault-tolerant cloud-native systems at scale using Infrastructure as Code automation.
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