DevOps Engineer
Swish AnalyticsFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role is based in Calgary, Canada, and requires 2-3 days onsite a week.
Candidates need 4-6 years of DevOps and Software Engineering experience, proven work with AWS, Terraform, GitHub, and CI/CD pipelines, plus skills in Python, Unix shell scripting, Linux, networking, and monitoring tools like Grafana, PagerDuty, and Splunk.
This information is not specified in the job description.
The S&P Global Enterprise Data Organization team is a creative group of experts collaborating across divisions to drive continuous improvements in platform innovation and usability.
A strong candidate has 4-6 years of DevOps experience, a Bachelor's degree in Computer Science or related field, AWS and Terraform expertise, problem-solving skills, adaptability, and good communication to work independently or lead projects.
Provides financial information and analytics services
S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.