20 melhores vagas de senior software engineer | (Contratando agora!)

Senior Software Engineer (C++ / Real-Time Systems)
Derq —Rio de Janeiro, RJ
- Tempo integral
- Home Office
- Ciência da Computação
- C++
- Graduação
Candidatura rápida
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- Home Office
- Inglês
- Banco de Dados
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- Home Office
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First Help Financial —São Paulo, SP
- Modelo Híbrido
- CRM software
- Oracle
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Senior Software Engineer - PerfectScale by DoiT, Romania (Remote)
DoiT —Rondônia
- Tempo integral
- Home Office
- Azure
- DevOps
- Java
- Trabalho remoto
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Há 11 dias
Senior Backend Software Engineer | BASE
Wellhub —Rio de Janeiro, RJ
- Meio período
- Home Office
- Ciência da Computação
- Ciência da Computação
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Há 11 dias
Senior Software Engineer
Infios —Remoto
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- Azure
- Ciência da Computação
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Backstory —Rondônia
- Home Office
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Senior Software Engineer, Core Experiences - Curitiba, Brazil
Speechify —Curitiba, PR
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Há 5 dias
Senior Software Engineer - Tax Platform
Alpaca —Remoto
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Senior Software Engineer - Python (Contract)
Tekmetric —Rondônia
- Home Office
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Senior Software Engineer
Siemens Energy —Rio de Janeiro, RJ
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- Azure
- Ciência da Computação
- Inglês
Senior Software Engineer, Windows/Desktop Applications - Curitiba, Brazil
Speechify —Curitiba, PR
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Workana —São Paulo, SP
- Home Office
- CRM software
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Uber —Rio de Janeiro, RJ
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Senior Backend Software Engineer | AI Engine
Wellhub —São Paulo, SP
- Meio período
- Home Office
- Java
- SQL
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Exadel Inc (Website) —São Paulo, SP
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- Inglês
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Senior Software Engineer - Integrations, Crawler
Truv —Rio Grande do Sul
- Home Office
- APIs
- Inteligência artificial
- Python
Senior Front end Engineer (Contractor)
Domaine —Remoto
- Home Office
- Gestão
- JavaScript
- Desenvolvimento de Software
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Há 2 dias
Senior Backend Engineer
CommIT —Amazonas
- Tempo integral
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- Ciência da Computação
- Ciência da Computação
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Senior Software Engineer (C++ / Real-Time Systems)

Derq
Rio de Janeiro, RJ

Candidatura rápida

Detalhes da vaga

Tempo integral

Qualificações

Ajuste de Desempenho
Ciência da Computação
Estrutura de Dados
C++
Graduação
Engenharia de Sistemas
Inteligência artificial
Debug

Descrição completa da vaga

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.

Role Overview

Ever wanted to see your code directly impact the physical world? As a Senior Software Engineer at Derq, you will design, develop, and optimize the core production systems that power our real‑time traffic and safety solutions. This is a 100% hands-on engineering role with full ownership of code, performance, and system behavior from initial development straight through to deployment.

This position sits at the sweet spot between software engineering and systems engineering. You will work directly on performance‑critical, edge‑deployed systems - improving efficiency, reliability, and scalability under unpredictable, real‑world conditions. Our focus is strictly on shipping production‑ready solutions.

The Stack: Standard C++ on Linux
The Environment: Make-based builds, shared libraries, and deployment patterns optimized for production roadside and edge hardware.

Key Responsibilities

Design, develop, and maintain production‑grade software systems with a focus on performance, reliability, and scalability
Optimize system behavior for real‑time, low‑latency environments, including edge and cloud components
Design, implement, and refine core system logic that improves platform performance, reliability, and scalability under real‑world conditions.
Profile, analyze, and optimize system performance across CPU, memory, I/O, and networking
Improve system observability through logging, monitoring, and diagnostics
Work on end‑to‑end development, from design and implementation to testing, deployment, and support
Collaborate with Deployment, ML, and Systems teams to validate and support improvements in production‑like and live environments.
Debug and resolve complex production issues involving distributed or real‑time systems
Write clean, maintainable, and well‑tested code following engineering best practices
Participate in code reviews and contribute to improving engineering standards and tooling
Support production systems post‑deployment and assist with performance tuning and issue resolution

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field
10+ years of professional experience in software engineering, systems engineering, or performance‑critical systems
Strong hands‑on experience with modern C++
Solid experience working with Linux‑based systems
Experience building and optimizing real‑time, high‑throughput, or low‑latency systems
Strong understanding of:
- Data structures and algorithms
- System performance and resource optimization
- Debugging complex system behavior
Experience with automated testing, system validation, and production debugging
Familiarity with distributed systems concepts and system reliability
Strong problem‑solving skills and ownership mindset

Candidatura rápida

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