Mid level/Senior Cloud Application - GoLang/Python

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mid level/Senior Cloud Application - GoLang/Python based in Brazil. This role focuses on building scalable cloud applications and microservices using Go and Python. You will contribute to a financial-sector project where reliability, efficiency, and secure integration are essential. The position involves designing AWS-based solutions that connect distributed services through messaging systems and APIs. You will also work with containerized applications and Kubernetes-based environments to support scalable deployments. The role provides an opportunity to contribute to modern cloud architecture while collaborating in a technology-driven environment. Knowledge of Platform Engineering is valued as the team continues to strengthen cloud platforms and application capabilities. If you enjoy solving complex engineering challenges and building production-grade cloud solutions, this role offers meaningful technical impact.
• Accountabilities: Design, develop, and implement scalable microservices using Go and Python, focusing on application efficiency, reliability, maintainability, and production readiness. Build and integrate AWS-based messaging solutions that enable reliable communication and data exchange between distributed services. Design, implement, and manage APIs that support efficient and reliable integration between applications and external or internal systems. Containerize applications to enable consistent, portable, and efficient deployment across different environments. Work with Kubernetes and Amazon Elastic Kubernetes Service (EKS) to support container orchestration and scalable cloud application deployments. Contribute to cloud architecture and engineering practices within a financial-sector project, ensuring solutions are aligned with scalability and operational requirements. Apply Platform Engineering principles where relevant to help build and maintain reliable platforms that support cloud-based applications. Requirements Have solid professional experience and practical expertise in Go, with the ability to develop production-grade applications and microservices. Have experience or familiarity with Kubernetes and Amazon Elastic Kubernetes Service (EKS), particularly for container orchestration and cloud application deployment. Demonstrate knowledge of AWS cloud services, particularly SQS, SNS, RDS, DynamoDB, CloudWatch, and API Gateway. Have practical experience developing microservices and integrating distributed applications through messaging systems and APIs. Be comfortable working with application containerization and cloud-native deployment practices. Experience or knowledge of Platform Engineering is desirable, particularly involving the construction and maintenance of platforms that support cloud applications. Demonstrate strong problem-solving, collaboration, communication, and ownership skills within a technology-focused environment. Be based in Brazil; professionals residing in the Campinas Metropolitan Region should be prepared to work from the local offices according to the applicable attendance policy. Benefits Health and dental insurance. Meal and food allowances. Childcare assistance. Extended parental leave. Access to Wellhub and TotalPass partnerships for fitness, health, and wellness services. Profit Sharing and Results (PLR). Life insurance. Continuous learning platform through a dedicated corporate university. Discounts through partner programs. Free online platform focused on physical health, mental health, and overall well-being. Pregnancy and responsible parenting courses. Partnerships with online learning platforms. Language learning platform. Additional benefits and support programs designed to promote professional development, inclusion, health, and well-being. Dedicated health and well-being support, inclusion specialists, and affinity groups. Support and workplace accommodations for professionals with disabilities throughout the recruitment and employment journey.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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