Software Enginner

Há 6 dias

São Paulo, São Paulo, Brasil GraceMark Solutions Tempo inteiro

Job Title:

Software Engineer (Product Engineering)-Backend

Job Description (Company Name Removed)

We are looking for a
Backend Engineer
to build scalable, reliable, and high-performance backend systems that power user-facing features. In this role, you will contribute to the full software development lifecycle—from gathering requirements to building, testing, deploying, and optimizing backend services.

Responsibilities:

  • Build backend features that directly support end-users, contributing to architecture and feature development.
  • Design and implement RESTful APIs and microservices with high availability and performance.
  • Write clean, scalable, and maintainable backend code following engineering best practices.
  • Collaborate with cross-functional teams including product, frontend, and design to deliver impactful features.
  • Run A/B testing experiments and measure feature performance for data-driven development.
  • Write automated unit and integration tests to ensure high product reliability.
  • Participate in code reviews, technical discussions, and backend architecture improvements.
  • Continuously improve services through monitoring, performance tuning, and debugging.

Required Skills:

  • Strong understanding of backend development concepts and architecture
  • Proficiency in
    Python or Java
    (experience with frameworks like Flask, Django, Spring Boot, or similar)
  • Experience with RESTful API development and microservices
  • Knowledge of relational and/or NoSQL databases (MySQL, PostgreSQL, MongoDB, DynamoDB)
  • Experience with caching and distributed systems (Redis, Memcached, Kafka is a plus)
  • Familiarity with CI/CD pipelines and version control (Git)
  • Ability to write clean, testable code with automation testing
  • Strong debugging skills and analytic problem-solving ability
  • Excellent collaboration and communication skills

Nice to Have:

  • Experience with cloud platforms (AWS/GCP/Azure)
  • Experience with containerization (Docker, Kubernetes)
  • Exposure to A/B testing and experimentation platforms
  • Familiarity with monitoring tools (Datadog, Prometheus, Grafana)

Hashtags for LinkedIn Posting:

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