Would you like to join our great reliability engineering team
Would you like to be part of a rewarding project
About Our Team
Generally, the team is form in Squad where each squad consist of Squad Lead, Business Analyst, Dev lead, Developers and Testers. This Squad structure provides more connectivity among team members and allows us to deliver faster as all resources work as one group on dedicated tasks.
About The Role
Qualified systems engineers will have a background in IT, computer systems engineering, or systems engineering and analysis.
As a Senior Site Reliability Engineer, you will lead the design, implementation, and maintenance of scalable infrastructure. You'll ensure system reliability, performance, and availability, driving continuous improvement and innovation.
Responsibilities
- Designing, implement, and maintain highly available and scalable container-based infrastructure using Docker and Kubernetes.
- Monitoring, analyze, and optimize system performance, reliability, and scalability for containerized applications.
- Collaborating with development, operations, and security teams to define best practices for containerization and deployment.
- Troubleshooting and resolve issues related to container orchestration, networking, and storage.
- Implementing and maintain automated deployment, scaling, and monitoring solutions for containerized environments.Ensuring security best practices are followed, including vulnerability scanning, container hardening, and access controls.
Requirements
- 7+ years of Software Engineering experience
- BE/BTech Engineering/Computer Science or equivalent experience required
- Expertise in Linux - Experience with CoreOS; Experience with legacy on-premise environments/bare metal infrastructure
- Advanced knowledge on Kubernetes and Networking - Understanding of Kubernetes networking, integration with existing network environment
- Design, develop, and maintain infrastructure as code using SALT to automate deployment, configuration management, and orchestration.
- Basic/Intermediate knowledge on AL4 process, VMWare, Graylog,Elastisearch, Grafana and PostgreSQL,AWS/GCP Knowledge,Git
- CI/CD (essential: deep understanding of theory and concepts, bonus: experience with GitLab and pipelines)
- Infrastructure as Code (essential: Terraform or CloudFormation fundamentals, bonus: Serverless Framework)
- Containerisation (essential: Docker, bonus: experience with ECS/Fargate)
- Scripting (essential: Bash, bonus: Python)
Learn more about the LexisNexis Risk team and how we work here
