DevOps Engineer
Hackajob
Software Engineering
England, UK · London, UK
Posted on Mar 14, 2026
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role.
DevOps Engineer - London
Skills and Competencies
Required
Supporting the design, deployment, and monitoring of systems that power Moody’s products, while learning to apply best practices in reliability, security, and scalability in a multi-region cloud environment.
Our DC&I DevOps team is responsible for ensuring the reliability, security, and scalability of Moody’s global web platforms.
We Contribute To Moody’s By
DevOps Engineer - London
Skills and Competencies
Required
- Familiar with cloud services (e.g, AWS, GCP, Azure)
- Experience with source code management systems (e.g., GitHub, Bitbucket, GitLab)
- Basic knowledge of Linux-based systems (e.g., Ubuntu, CentOS) and willingness to learn more
- Exposure to containerized concepts using Docker
- Interest in learning Cloud and DevOps security practices (e.g., security group configuration, secrets management, and least privilege access)
- Willingness to develop troubleshooting, communication, and documentation skills; able to stay organized and adapt in a fast-paced environment
- Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q)
- Basic understanding of scripting and programming, with an interest in using it for automation (e.g., python)
- Exposure to core concept of Infrastructure as Code(IaC) tools (CloudFormation or Terraform)
- Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, CircleCI) to support automated builds and deployments
- Basic understanding of networking and load balancing concepts, along with exposure to tools such as Nginx, HAProxy, AWS ALB, or NLB.
- Experience with AWS
- Familiarity with monitoring/logging tools (e.g., Splunk, Grafana, Datadog)
- Understanding of Agile practices and familiarity with related tools (e.g., Jira, Trello)
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
Supporting the design, deployment, and monitoring of systems that power Moody’s products, while learning to apply best practices in reliability, security, and scalability in a multi-region cloud environment.
- Drive adoption of serverless architectures (e.g., AWS Lambda, Step Functions, Glue, MWAA, DynamoDB) and container-based platforms (e.g., ECS Fargate) to modernize existing systems and deliver products more efficiently.
- Adopt Infrastructure as Code (IaC) (e.g., Terraform, CloudFormation) and Policy as Code (PaC) (e.g., Wiz, Prisma) to ensure consistency and compliance.
- Build and maintain flexible, reusable, and secure CI/CD infrastructure that enables development teams to manage their own pipelines for fast, reliable application delivery.
- Monitor and optimize AWS resource usage to control costs while maintaining reliability and scalability.
- Administer SaaS tools (e.g., GitHub, Postman, JFrog, Prisma Cloud, internal portals) to ensure security and efficient development workflows.
- Track and evaluate emerging tools, services, and practices in the industry, testing and adopting those that enhance scalability, security, or developer productivity.
Our DC&I DevOps team is responsible for ensuring the reliability, security, and scalability of Moody’s global web platforms.
We Contribute To Moody’s By
- Delivering scalable, multi-region cloud infrastructure to support high-traffic, customer-facing products.
- Providing agile, automated deployment pipelines that allow products to be released quickly, reliably, and securely.
- Safeguarding platforms with robust monitoring, traffic management, and security practices to ensure resilience and compliance.