This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer based in Brazil.
This is a hands-on senior engineering role focused on building and operating high-performance, real-time software systems for next-generation transportation infrastructure.
You will work at the core of a platform that combines roadway technology, sensors, data infrastructure, and AI-enabled analytics to deliver real-time operational insights.
The role offers broad ownership across system design, algorithm development, data processing, deployment, and ongoing operations.
You will develop production-grade services and algorithms primarily in C++, while also working with Go, Python, cloud infrastructure, and modern deployment technologies.
A key part of the role involves transforming historic and simulated data into rigorous testing and validation workflows before systems reach live environments.
You will work independently in an environment that values initiative, thoughtful use of AI-assisted development tools, strong engineering judgment, and end-to-end ownership.
This is an opportunity to contribute to complex systems that can directly improve the safety, efficiency, and intelligence of modern transportation networks.
Accountabilities
- Translate high-level and sometimes ambiguous requirements into robust system designs, technical solutions, and production-ready implementations.
- Own features and systems throughout their complete lifecycle, from initial development and testing through production deployment, monitoring, and ongoing operations and maintenance.
- Design, build, tune, and operate high-throughput, low-latency services using C++, Go, and Python.
- Develop and optimize production-facing algorithms for tracking, inference, sensor fusion, and other real-time intelligence use cases.
- Use historic and simulated datasets to iterate, test, tune, and rigorously validate algorithms and system behavior before live deployment.
- Design and implement high-performance inter-application communication mechanisms and robust data interfaces for real-time data exchange.
- Optimize data structures, Protobuf serialization, Redis Streams, and related technologies for real-time processing workloads.
- Architect and manage data pipelines covering sensor ingestion, transformation, storage, processing, and downstream delivery.
- Build REST APIs and integrate internal and external services to support reliable platform functionality.
- Implement comprehensive observability across performance-critical applications, including monitoring, logging, alerting, and operational diagnostics.
- Deploy and operate containerized services on Kubernetes using technologies such as Argo and Helm within GCP environments.
- Develop and maintain technical documentation, system documentation, operational runbooks, and integration specifications.
- Collaborate effectively with technical and non-technical stakeholders and clearly communicate architectural decisions and trade-offs.
- Contribute to a high-trust engineering culture where initiative, experimentation, collaboration, and strong technical ideas are encouraged.
Requirements
- 5+ years of professional software engineering experience, ideally as a versatile generalist with a strong backend and systems focus.
- Deep experience designing, building, tuning, and operating real-time systems.
- Strong proficiency in C++, with demonstrated experience implementing high-performance, low-latency algorithms in production environments.
- Proficiency in Python for prototyping, experimentation, numerical computing, or algorithm development.
- Demonstrated ability to use historic and simulated data to rapidly iterate on algorithms, validate system behavior, and improve production logic.
- Strong understanding of data interfaces, including inter-process communication, high-speed messaging protocols, and strict, reliable interfaces between applications.
- Deep knowledge of algorithms, data structures, and system internals, including the ability to reason about computational complexity, memory constraints, and behavior under load.
- Experience building and operating streaming data systems such as Redis Streams, Kafka, or comparable technologies.
- Experience with scientific and numerical Python libraries such as NumPy, SciPy, and Pandas.
- Experience with GCP or comparable cloud infrastructure and services.
- Strong knowledge of containerization technologies including Docker and Kubernetes.
- Experience with Infrastructure as Code and CI/CD tools such as Terraform, GitHub Actions, GitLab CI, or similar platforms.
- Comfortable working in Linux-based environments and using modern agentic or AI-assisted coding tools such as Claude Code, Cursor, or comparable solutions.
- Strong communication skills and the ability to explain complex technical concepts and architectural decisions to both technical and non-technical audiences.
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Experience in transportation, robotics, autonomous vehicles, or other sensor-intensive domains is advantageous.
- Familiarity with Kalman filters, Bayesian methods, classical estimation techniques, and sensor fusion is a plus.
- Experience with GCP data products such as BigQuery, Cloud Storage, and Pub/Sub is beneficial.
- Familiarity with AI/ML workflows, feature stores, or model-serving infrastructure is an advantage.
- Knowledge of messaging and observability technologies such as nanomsg and OpenTelemetry is a plus.
- Experience with high-throughput data processing and integrated build systems such as Buck2 is beneficial.
- Previous experience working in an early-stage startup environment is advantageous.
Benefits
- Competitive salary range of $150,000–$200,000 for the applicable remote position, with actual compensation determined by location, experience, education, skills, and other relevant factors.
- Potential eligibility for an equity program and/or discretionary annual incentive program, subject to applicable plan terms and eligibility requirements.
- Medical, dental, and vision insurance options.
- Life insurance and disability insurance.
- 401(k) plan with company contribution.
- Paid parental leave.
- Fertility and infertility benefits.
- Industry-competitive paid time off.
- Learning and professional development opportunities.
- Fully remote work environment with flexibility around where eligible employees work.
- Opportunity to work on advanced real-time systems combining software engineering, AI, sensors, cloud infrastructure, and transportation technology.
- Significant technical ownership across architecture, development, deployment, and operations.
- Collaborative engineering culture with opportunities to contribute ideas and influence core platform direction.
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!
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.
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