Senior Backend Engineer

Jobgether • Brazil
Remote
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AI Summary

Design and build high-performance, cloud-native backend services for financial platforms serving small businesses. Own end-to-end development of scalable APIs, integrations, and legacy system replacements. Requires 7+ years Python experience, strong cloud/DevOps skills, and cross-functional collaboration.

Key Highlights
Modernize legacy systems with cloud-native architecture
Build scalable REST APIs and integrations
Ensure reliability and observability in production
Collaborate with product, data, and engineering teams
Work fully remote within LATAM
Key Responsibilities
Design, build, and maintain scalable backend services in Python supporting core platform functionality
Develop secure, well-structured REST APIs and integrations with internal systems and external partners
Contribute to the modernization of legacy systems, including migration toward cloud-native and data-driven architectures
Improve platform reliability through observability, performance optimization, and engineering best practices
Collaborate with product, data, and engineering teams to define technical requirements and delivery approaches
Participate in architectural discussions and influence technical direction for backend systems
Ensure high standards of code quality, testing, CI/CD, and production readiness
Technical Skills Required
Python REST API design Cloud environments (Azure) DevOps (CI/CD, GitHub Actions) Data platforms (Databricks, Spark)
Benefits & Perks
Fully remote work within LATAM
Competitive compensation aligned with experience and impact
Flexible PTO to support work-life balance
Nice to Have
Experience with .NET/C#
Terraform/Bicep
Vue.js
AI-enabled application patterns

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 Senior Backend Engineer based in Brazil.

This role is a key contributor to the evolution of a modern, scalable backend platform that powers critical financial services for small businesses. You will design and build high-performance services that replace legacy systems and enable a more modular, cloud-native architecture. Working in a distributed engineering environment, you will collaborate closely with product, data, and engineering teams to deliver robust APIs, integrations, and platform capabilities. The role combines hands-on backend development with architectural thinking and a strong focus on reliability, scalability, and performance. Your work will directly impact core business workflows, improving operational efficiency and enabling faster innovation across the organization. This is a high-ownership position where autonomy, technical excellence, and pragmatic decision-making are essential.

Accountabilities

You will be responsible for building and evolving backend services that support platform modernization and critical business operations. This includes designing scalable APIs, improving system reliability, and contributing to the replacement of legacy infrastructure. You will also play a key role in cross-functional collaboration, helping shape engineering standards and ensuring high-quality delivery across the platform.

  • Design, build, and maintain scalable backend services in Python supporting core platform functionality
  • Develop secure, well-structured REST APIs and integrations with internal systems and external partners
  • Contribute to the modernization of legacy systems, including migration toward cloud-native and data-driven architectures
  • Improve platform reliability through observability, performance optimization, and engineering best practices
  • Collaborate with product, data, and engineering teams to define technical requirements and delivery approaches
  • Participate in architectural discussions and influence technical direction for backend systems
  • Ensure high standards of code quality, testing, CI/CD, and production readiness

Requirements

You bring deep backend engineering experience and a strong ability to operate in complex, evolving technical environments. You are comfortable owning systems end-to-end, making pragmatic architectural decisions, and collaborating across distributed teams. You combine strong Python expertise with experience in scalable, cloud-based architectures.

  • 7+ years of software engineering experience, including 5+ years building backend systems and APIs in Python
  • Strong experience with scalable system design in data-intensive or high-availability environments
  • Hands-on experience with platform modernization or migration projects
  • Proficiency in REST API design, authentication, versioning, and error handling best practices
  • Experience with frameworks such as FastAPI or Flask
  • Solid background in cloud environments (preferably Azure) and DevOps practices (CI/CD, GitHub Actions, or Azure DevOps)
  • Familiarity with Databricks, Spark, and modern data platform ecosystems
  • Experience with relational and/or NoSQL databases and event-driven architectures
  • Strong communication skills and ability to work effectively in distributed teams
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • Nice to have: experience with .NET/C#, Terraform/Bicep, Vue.js, or AI-enabled application patterns

Benefits

  • Fully remote work within LATAM
  • Competitive compensation aligned with experience and impact
  • Flexible PTO to support work-life balance
  • Opportunity to work on large-scale platform modernization initiatives
  • Collaborative environment with strong engineering culture
  • Exposure to modern cloud, data, and backend technologies
  • High-autonomy role with real technical ownership and influence

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.

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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