Software Engineer (Go, Python, CI/CD, Rotation On-call) - Hybrid

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Fluency in English (written and spoken) is a definitive must to apply.

*Resume must be submitted in ENGLISH .

• •Job Location: São Paulo City - Pinheiros (3 days/week at office);
• •Working hours: Brazil business hours + on-call to be discussed;
• •This position reports to: FactSet's Release Infrastructure
• •Employment condition: Brazil full-time CLT with FactSet competitive benefits global package applied to Brazil (FactSet total rewards).

Join FactSet's Release Infrastructure team and own the developer platforms that power engineering teams worldwide. You'll manage critical platforms —GitHub, Sourcegraph, SonarQube, and Artifactory —that directly impacts how quickly we deliver financial data and analytics solutions to investment professionals globally.

Responsibilities:

• •Build and maintain backend services in Go and Python
• •Develop automation that scales across thousands of engineers
• •Design and deploy cloud infrastructure using Terraform and Linux
• •Architect integrations between enterprise platforms
• •Evaluate emerging tools and drive adoption of modern engineering practices
• •Participate in an on-call rotation to support critical infrastructure ( 7 days for 12 hours - 2 weeks off and then back on call for 7 days/12hours )

Minimum Requirements:

• •Minimum of 2 years' experience in writing backend services and/or automation using a high-level programming language (Strong preference for Go, Python, or NodeJS). Willingness to learn and develop in multiple languages used by team (Go and Python).
• •Minimum of 2 years' experience developing software release pipelines for publishing libraries/applications/services using CI/CD platform(s) (Strong preference for GitHub/GitLab/ Forgejo Actions).

Critical /Required Skills:

• •Familiarly with Continuous Integration and Delivery best practices.
• •Experience in system administrative tasks, including deployment, configuration, and operation of Linux systems (Strong preference for Debian-based distributions).
• •Ability to clearly communicate with geographically distributed team members, and other employees, using asynchronous communication tools.
• •Bachelor’s degree in computer science

Desired Skills:

• •Familiarity with the following platforms: GitHub and Artifactory.
• •Experience using an Infrastructure as Code tool, such as Terraform/OpenTofu or Pulumi, for architecting, deploying, and managing cloud infrastructure.
• •Experience using Docker and Kubernetes.

Company Overview:

FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn .

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.