Senior Software Engineer - Observability
TetraScienceFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
A minimum Bachelor's degree in a technical subject is required, along with proven expertise in Google Cloud Platform (GCP) at enterprise scale with relevant certifications, scripting/coding experience in Bash, Python, or PowerShell, experience with code repositories like Git and CI/CD pipelines.
Strong written and verbal communication skills, ability to present ideas and designs to technical and non-technical audiences, and strong documentation skills are required.
The role is part of the Observability and Application Services team within Digital Technology Services (DTS), responsible for designing, implementing, and maintaining large-scale data-based systems.
Preferred experience includes working in an Agile (Scrum) team, Terraform, enterprise observability tools and platforms, and knowledge of Agentic AI workflows and LLM Observability concepts.
This information is not specified in the job description.
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.