Principal Engineer – Visualization Services
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Job Description
Principal Engineer desenvolvendo serviços backend Java e AWS para processamento e streaming de grandes volumes de dados de modelos 3D. Otimizando performance, confiabilidade e operação em produção na NetSource.
Responsibilities:
- Design, develop, and maintain complex data processing and streaming service modules
- Apply algorithms, performance analysis, and profiling techniques to optimize performance and memory consumption
- Drive end-to-end technical delivery, from requirements and implementation decisions through testing, deployment, and production support
- Develop and operate AWS services across multiple regions using ECS/EC2, S3, DynamoDB, SQS, ElastiCache/Redis, Lambda, and CloudFront
- Investigate performance, concurrency, and reliability issues in production, identify root causes, and implement lasting fixes
- Participate in architecture and technical design discussions with architects and rendering teams, evaluating technical alternatives and trade-offs
- Implement solutions aligned with agreed architectural guidelines
- Improve test coverage, observability, deployment automation, and code quality
- Participate in code reviews
- Apply AI-assisted development tools to improve productivity, automation, and delivery quality
Requirements:
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- At least 7 years of hands-on professional software development experience building, delivering, and operating backend services in production
- Strong professional experience with Java, including object-oriented programming, concurrency, performance optimization, and troubleshooting
- Hands-on experience with AWS infrastructure, particularly Amazon ECS Fargate and EC2
- Strong knowledge of DevOps practices, including CI/CD, Infrastructure as Code (IaC), and deployment across multiple environments
- Strong understanding of algorithms, data structures, and mathematics, with the ability to analyze computational complexity, memory consumption, and performance trade-offs
- Ability to independently drive technically complex deliveries, from component design through implementation and production operations
- Experience building and troubleshooting high-traffic distributed systems
- Experience with REST APIs or WebSockets and data formats such as JSON or Protobuf
- Knowledge of observability practices, including logs, metrics, and tracing
- Willingness to use AI-assisted development tools to increase productivity and software quality
- Experience with Rust, particularly in developing high-performance native components and data processing solutions
- Knowledge of JavaScript/TypeScript and frontend frameworks
- Experience with Infrastructure as Code tools such as Terraform or CloudFormation
- Knowledge of CI/CD pipelines, such as Jenkins or Harness
- Systems-level experience with memory-mapped files, columnar storage, and database engines such as Parquet and DuckDB
- Experience with 3D model data, geometry, mesh processing, point clouds, levels of detail, compression, or streaming pipelines
- Knowledge of CDNs, global data distribution, containerization, and orchestration using technologies such as Docker or Kubernetes
- Experience with observability tools such as Dynatrace, Prometheus, Grafana, or Splunk
- Knowledge of network protocols such as HTTP/2 and WebSockets and their impact on streaming performance
Benefits:
- Work from home / remote work
- Permanent employment under Brazilian CLT labor regulations
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