
Cloud Engineer Lead
2 weeks ago
A seasoned DevOps professional is required to drive platform stability, reliability, and security.
- About the Role:
The ideal candidate will have a strong background in DevOps engineering, with experience in designing, building, and supporting cloud-based infrastructure using AWS and other tools.
This includes designing, building, and supporting PaaS solutions on both SS&C Private Cloud and AWS, provisioning and maintaining infrastructure for application teams across Linux and Windows environments, and driving platform stability, reliability, security, and performance through proactive engineering and support.
Candidates must also be able to collaborate with global teams across various regions to support daily operations and promote DevOps best practices.
The role requires participation in a follow-the-sun on-call support model to ensure platform availability and performance, ensuring systems meet regulatory, security, and audit compliance standards.
- Key Requirements:
Bachelor's degree in computer engineering, Computer Science, Information Systems, or a related field.
5+ years of experience in a DevOps-related role for senior-level candidates.
Strong English communication skills, both written and verbal.
Proficiency in Linux system engineering.
Hands-on experience with CI/CD pipelines, preferably using GitHub Actions.
Experience with Infrastructure as Code (IaC) tools, especially Terraform.
Familiarity with configuration management tools such as Ansible or Salt.
Experience with logging and monitoring tools such as Grafana, Promtail, and Loki.
Proficiency in Kubernetes, Helm, and GitOps tools like ArgoCD.
Kubernetes administration experience is a strong advantage.
Solid understanding of Microservices Architecture and Service Mesh.
Experience with building and managing Windows-based infrastructure.
Familiarity with artifact management tools such as JFrog Artifactory.
Strong knowledge of AWS services, including: EC2, ECS, RDS, S3, CloudFront, WAF, API Gateway, Lambda, ElastiCache, Elasticsearch, SQS, SNS, EKS, etc.
Proficiency in at least one programming language, preferably Python.
Experience with systems such as Kafka, Keycloak, Airflow, NiFi, Redis, PostgreSQL, etc.
We are a leading provider of information processing and computer software services and products. Our operating segments include financial markets, customer management, professional services, and output solutions. We serve the alternative investments, asset and wealth management, banking and lending, insurance, and real estate industries.
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