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Job Title: Platform Engineer
Key Skills: CI/CD pipelines, infrastructure automation, Kubernetes, Frontend, AI.
Location: Brazil
Mode: Remote
We are seeking a highly skilled Senior Software Engineer with a strong background in developer tooling and CI/CD systems. The ideal candidate will have hands-on experience in developing CI/CD pipelines, building and operating developer portals, and a solid understanding of Kubernetes and container orchestration. This role requires a polyglot mindset, excellent communication skills, and a passion for improving developer productivity through innovative tooling and automation.
Key Responsibilities
Design, develop, and maintain CI/CD pipelines using GitHub Actions.
Build and operate developer portals or internal platform tooling, ensuring a seamless user experience.
Collaborate with cross-functional teams to establish best practices for AI-assisted development tools and protocols.
Conduct failure mode analysis and implement systems thinking to enhance tooling reliability and reduce cognitive load.
Document processes, create developer guides, and communicate proposals effectively.
Evaluate and implement AI-specific observability metrics to monitor performance and reliability of development tools.
Design and execute phased migration strategies for shared infrastructure.
Utilize Infrastructure as Code (IaC) tools like Terraform or CDK for managing infrastructure.
Configure and roll out AI coding assistants at scale, ensuring governance and best practices are established.
Required Skills & Qualifications
Hands-on experience with CI/CD pipeline development and strong knowledge of GitHub Actions.
Experience in building and operating developer portals or internal platform tooling (e.g., Backstage).
Proficiency in 2+ programming languages and a polyglot mindset.
Frontend development skills for portal UI and developer-facing web tooling.
Production experience with Kubernetes and container orchestration.
Strong systems thinking capabilities, including failure mode analysis and end-to-end ownership.
Excellent written communication skills for documentation and developer guides.
Practical experience with AI-assisted development tools and establishing governance for their adoption.
Preferred Skills
Experience operating or evaluating LLM proxy/AI gateway infrastructure.
Knowledge of AI-specific observability metrics.
Experience with Infrastructure as Code (Terraform, CDK, or similar).
Familiarity with feature management systems (e.g., LaunchDarkly, Split).
Background in developer productivity metrics and measurement frameworks.
Prior work on internal CLIs, scaffolding tools, or toil-reducing automation.
Familiarity with workflow engines (e.g., Temporal).
Posted On: 25-09-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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