Position Overview & Specifications
A DevOps Engineer fulfills the following responsibilities with little to moderate guidance of more senior team members:
Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.
At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity
- Take ownership of stories; Implement and test features based on the requirements.
- Provide feedback on requirements from a technical perspective and provide estimates for user stories and tasks.
- Provide input into technical design, at the story and/or module level.
- Comply with coding standards.
- Experience developing pipelines for ingestion of data from various sources
- Collaborate with build and release engineers to prepare packages and solve environment issues.
- Investigate and find the root cause for software problems reported by clients.
- Maintain technical documents
- Demonstrate robust debugging, analytical and problem-solving abilities
- For basic DevOps skills, a 4-year degree with a focus on Engineering, Data Processing, or Computer Science is necessary.
- The candidate needs solid experience in server-side DevOps, both in a Windows Server environment, and in a Linux environment. AWS experience is essential. GCP experience is a plus.
- Our server applications are written in C, C++, C#, and Python. Exposure to these languages, and the types of error messages they generate, is mandatory
- Our client-side front-ends are written in react.js; DevOps on the client-side will not be part of every-day tasks, but familiarity with this type of application is a plus
- We use both SQL and no-SQL database systems; knowledge of data base management operations is a necessity
- Expertise in data science is not needed, but some prior exposure to the concepts of Machine Learning are required. Self-paced on-line courses are acceptable for that.
- Demonstrated experience in reading log files, and reacting to events, is mandatory. Some exposure to modern ideas re Software Telemetry is a plus
- Standard work hours are the norm, but on occasions (fatal errors and system stoppages) you will get an alert, at any hour, and must be prepared to respond quickly.
Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.
At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity