Senior Software Engineer, Corporate Banking

Accountabilities

• Software Development: Design, develop, and maintain secure, scalable, reliable services using Golang or other suitable JVM-based technologies in cloud environments.

• End-to-End Delivery: Take ownership of the software development lifecycle, including technical planning, system design, implementation, testing, deployment, and production support.

• Microservices Architecture: Design and evolve distributed microservices, evaluating trade-offs involving performance, scalability, reliability, and maintainability.

• Automated Testing and Quality: Develop and maintain comprehensive unit, integration, performance, and end-to-end tests to strengthen system quality and resilience.

• Cloud Infrastructure and Automation: Provision and maintain cloud infrastructure using Terraform and Infrastructure as Code practices, supporting reliable deployments and infrastructure evolution.

• AWS and Event-Driven Solutions: Build and maintain cloud-native, event-driven services using AWS technologies such as SQS, SNS, DynamoDB, S3, and EventBridge.

• Monitoring and Incident Response: Monitor application health through logs, metrics, tracing, and alerts; troubleshoot distributed-system issues and contribute to incident response and operational excellence.

• API Design and Documentation: Design and document APIs using tools such as Swagger and OpenAPI, along with flow diagrams and technical documentation that support developers and external consumers.

• Code Reviews and Technical Leadership: Participate in code reviews, share constructive feedback, and contribute to technical decisions concerning architecture, performance, reliability, and long-term platform development.

• Cross-Functional Collaboration: Work closely with product managers and other stakeholders to translate business needs into effective technical solutions and align implementation with product goals.

• Continuous Improvement: Stay informed about emerging technologies, engineering best practices, and AI-assisted development tools, sharing knowledge and identifying opportunities to improve delivery efficiency and software quality.

Requirements

• Professional Experience: At least five years of experience as a software engineer working with production systems. The role also requires a bachelor's degree, an associate's degree, or at least three years of relevant work experience.

• Programming Languages: Strong experience with Golang or JVM-based programming languages.

• Distributed Systems: Demonstrated experience designing, building, and operating microservices and distributed systems in cloud environments.

• Troubleshooting: Proven ability to diagnose, debug, and resolve complex issues in distributed production systems.

• Testing Expertise: Strong knowledge of automated testing strategies, including unit, integration, performance, and end-to-end testing.

• AWS Services: Practical experience with AWS services such as SQS, SNS, DynamoDB, S3, and EventBridge, particularly for cloud-native and event-driven applications.

• Infrastructure as Code and CI/CD: Experience with Terraform and deployment automation tools such as ArgoCD, Jenkins, Codefresh, or equivalent technologies. Familiarity with CI/CD pipelines and GitOps practices is expected.

• Containers and Orchestration: Advanced practical experience using Docker and Kubernetes in production environments.

• APIs and Technical Documentation: Experience designing and documenting APIs with Swagger/OpenAPI and creating clear technical documentation for development teams and external consumers.

• Databases and Data Modeling: Strong understanding of relational databases and data modeling, with familiarity with non-relational data strategies.

• Observability and Reliability: Understanding of monitoring, logging, distributed tracing, alerting, and operational practices that help maintain reliable systems.

• Technical Decision-Making: Ability to contribute to architectural discussions and make informed decisions about scalability, performance, reliability, and system evolution.

• Language Proficiency: English proficiency at B1 level or above, equivalent to intermediate proficiency.

• Location: Must be based in Brazil.

• Preferred Industry Experience: Experience with mission-critical systems, financial services, payment platforms, or authorization systems is an advantage.

• Additional Advantages: Familiarity with observability tools for distributed systems, AWS certifications, and AI-assisted development tools such as GitHub Copilot, GPT, or Claude is desirable.

• Communication and Collaboration: Strong problem-solving skills, clear technical communication, and the ability to work effectively with engineers, product managers, and cross-functional stakeholders.

Benefits

• Remote Work: Fully remote position for professionals based in Brazil. Occasional attendance at a company office may be requested with advance notice.

• Technical Impact: Opportunity to contribute to corporate banking and transaction banking platforms serving large enterprises and financial institutions.

• Engineering Challenges: Work with modern cloud technologies, distributed systems, microservices, infrastructure automation, and event-driven architectures.

• Professional Development: Opportunities to deepen expertise in cloud engineering, software architecture, financial technology, and production reliability.

• Collaborative Environment: Work with cross-functional teams on technical strategy, platform evolution, and continuous improvement.

• AI-Assisted Engineering: Opportunity to explore AI-powered development tools to improve engineering productivity and software quality.

• Compensation and Additional Benefits: Salary, healthcare coverage, bonuses, and other specific employee benefits were not detailed in the original job posting.