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CESAR

Senior Software Engineer – Full Stack, Cloud

CESAR

. Ensure product quality by driving team growth and sharing best practices and technical knowledge .

Posted 10/14/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software development, application architecture, and integration of AI services, with a strong focus on quality assurance and collaboration across teams. Proficient in implementing CI/CD pipelines and observability practices to enhance system performance and reliability.

Highest-signal resume keywords
Software Development ExperiencePython, Java, JavaScriptReact, TypeScriptDocker, Kubernetes, TerraformCI/CD Pipeline Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentApplication ArchitectureIntegration of AI ServicesAutomated TestingData ProcessingObservability PracticesRole-Based Access Control (RBAC)Asynchronous ProcessingData ModelingCloud-Native Technologies
Soft Skills
CollaborationCommunicationProblem-SolvingKnowledge SharingTeam Leadership
Tools & Technologies
Google Kubernetes EnginePub/SubCloud StorageCloud SQLOpenTelemetryGitJiraAgile Methodologies
Industry Keywords
Software EngineeringInformation TechnologyObservabilitySecure Coding PracticesEvent-Driven Architecture

Tech Stack

Tools & technologies
CloudDockerJavaJavaScriptKubernetesPythonReactSQLTerraformTypeScript

About the role

Key responsibilities & impact
  • Ensure product quality by driving team growth and sharing best practices and technical knowledge
  • Define application architecture
  • Participate in code reviews and respond to feedback on maintainability, performance, security, and coding standards
  • Design, develop, test, and maintain solution components
  • Design and develop web interfaces and dashboards
  • Build front-end applications and integrate REST APIs, backend services, data-processing functions, and event-driven workflows
  • Develop integrations with a variety of data sources
  • Support the ingestion, normalization, validation, storage, and retrieval of telemetry and diagnostic information
  • Implement logging, metrics, distributed tracing, error handling, and health checks
  • Implement automated unit, integration, API, and regression tests
  • Support CI/CD pipelines, container deployments, configuration management, and troubleshooting in cloud environments
  • Assist with the integration of AI services through governed APIs and standardized interface contracts
  • Implement role-based access controls (RBAC)
  • Create and maintain technical documentation
  • Participate in backlog refinement, estimation, sprint planning, demonstrations, and retrospectives
  • Investigate defects and operational issues using logs, metrics, traces, and platform evidence
  • Identify technical risks, dependencies, and blockers, communicating them to leadership and the delivery team
  • Facilitate the execution of the software development process and contribute to activity planning
  • Serve as a technical reference and share knowledge with the team
  • Promote overall software quality in partnership with other project roles
  • Anticipate and flag issues that could jeopardize deadlines
  • Collaborate with Product Owners, architects, engineers, data specialists, testers, and operations teams

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field
  • Approximately 7 or more years of proven software development experience
  • Advanced English proficiency for daily communication
  • Experience with Python, Java, or JavaScript
  • Experience with React and TypeScript
  • Experience with Google Kubernetes Engine, Pub/Sub, Cloud Storage, or Cloud SQL
  • Experience with Docker, Kubernetes, Terraform, or similar cloud-native technologies
  • Familiarity with object-oriented and event-driven architecture, software design, and architectural patterns
  • Familiarity with asynchronous processing and data pipelines
  • Familiarity with relational databases, data modeling, and data science
  • Experience with platform observability, including logs, metrics, traces, dashboards, and alerting systems
  • Familiarity with OpenTelemetry and equivalent observability tools
  • Familiarity with OpenAPI or Swagger
  • Knowledge of authentication, authorization, RBAC, and secure coding practices
  • Experience integrating AI or machine-learning services through APIs
  • Experience with prompt management, AI response validation, confidence scoring, or human feedback capture
  • Experience with Git, Jira, and Agile methodologies
  • Advanced English proficiency

Benefits

Comp & perks
  • Flexible working hours
  • Flat organizational structure
  • Training and development programs
  • Diversity and Inclusion-focused culture
  • Health and dental insurance
  • Meal and food allowance
  • Language learning allowance
  • Childcare allowance
  • Contact lens allowance
  • Life insurance
  • Discounts on CESAR School courses
  • Birthday Day Off (during your birthday month)
  • Gympass
  • Moodar
  • Cíngulo