Lead Engineer - Analytics DevOps

Role Overview: As a DevOps Engineer at LSEG, you will be responsible for building, deploying, and maintaining cloud and on-prem infrastructure and applications. Your role will involve driving automation, monitoring, and continuous improvement in development, modernization, and operational processes. Key Responsibilities: - Develop and manage infrastructure using tools like Terraform, Helm Charts, CloudFormation, or Ansible to ensure consistent and scalable environments (Infrastructure as Code - IaC). - Build, optimize, and maintain continuous integration and continuous deployment (CI/CD) pipelines using Jenkins, Gitlab, Github, or similar tools. - Work with Cloud providers (Azure, AWS, GCP) and on-prem infrastructure (VMware, Linux servers) to deploy, manage, and monitor infrastructure and services. - Automate repetitive tasks, improve operational efficiency, and reduce human intervention for building and deploying applications and services. - Setup monitoring and alerting systems using tools like Prometheus, Grafana, Datadog, or others to ensure high availability and performance of applications and infrastructure. - Collaborate with architects, operations, and developers to ensure seamless integration between development, testing, and production environments. - Implement and enforce security protocols/procedures, including access controls, encryption, and vulnerability scanning and remediation. - Provide subject matter expertise support for issues related to application deployment and/or DevOps-related activities. Qualifications Required: - Bachelors or Masters degree in computer science, Engineering, or a related field with 3-5 years of practical experience. - 3-5 years of experience in practicing DevOps. - Proven experience as a DevOps Engineer or Software Engineer in an agile, cloud-based environment. - Strong expertise with containerization (Kubernetes, Docker) and orchestration. - Proficient in Infrastructure automation tools such as Terraform, Helm Charts, Ansible, etc. - Hands-on experience with cloud platforms (AWS, Azure, GCP), Azure preferred. - Strong understanding of Linux/Unix system management. - Strong experience with CI/CD tools like GitLab, Jenkins. - Strong knowledge of version control systems like Git, GitLab, GitHub. - Experience with modern monitoring & logging tools such as Grafana, Prometheus, Datadog. - Working experience in scripting languages such as Bash, Python, or Groovy. - Experience with serverless architecture and microservices is a plus. - Knowledge of networking concepts (DNS, Load Balancers, etc.) and security practices (Firewalls, encryptions). - Working experience in Agile/Scrum environment is a plus. - Certifications in DevOps or Cloud Technologies (e.g., Azure DevOps Solutions, AWS Certified DevOps) are preferred.,