Welcome to Devlane!
We are a dynamic software development company with a strong presence across Latin America. Currently, we specialize in offering staff augmentation services to clients worldwide, with a particular focus on North America.
Joining our team offers you the opportunity to shine and make a significant impact on the projects you work on. Many of our clients are modern small to medium-sized businesses experiencing rapid growth, and they're eager to add core members like you to their teams. This environment ensures you'll stay up-to-date with the latest technology trends.
At Devlane, our values are straightforward: we foster a collaborative environment and prioritize building long-lasting relationships where you can develop your skills as a software engineer and learn from your peers.
What's the role about?
You’ll play a key role in shaping the data infrastructure behind our cloud and edge solutions. You’ll work alongside a group of talented engineers and take ownership of designing, building, and maintaining robust data systems that support real-time insights, automation, and analytics. From ingesting edge device data to optimizing cloud-based pipelines, your work will directly impact the performance, scalability, and reliability of an end-to-end Robotics platform. You'll work with cutting-edge AWS and IoT technologies to deliver high-impact, end-to-end data pipelines for both batch and real-time analytics, collaborating closely with cross-functional teams.
What You’ll Do
- Develop scalable data pipelines for sensor data, telemetry, diags, &performance metrics
- Build cloud data infrastructure using AWS and GCP for analytics and ML workloads
- Develop and optimize SQL data models and queries for reporting and analysis
- Partner with ML engineers to support dataset generation, training, validation, and monitoring
- Collaborate with software teams to integrate data capture and logging into production robots
- Define data quality checks, validation, and governance standards
- Enable system diagnostics and health monitoring through metrics, dashboards, and alerts
- Build & Manage Data Pipelines: Develop secure and scalable data ingestion and transformation pipelines using AWS services (Glue, Lambda, Athena, Timestream, S3) and edge technologies (MQTT, AWS IoT Greengrass).
- Infrastructure as Code (IaC): Define, develop, & deploy cloud infrastructure using Terraform.
- SQL & Data Transformation: Write, optimize, and maintain complex SQL queries for data transformation and validation across AWS data services.
- Observability & Security: Implement and maintain observability tools (CloudWatch, Grafana) and ensure robust data security using best practices for IAM, encryption, and access control.
- Cross-Functional Collaboration: Partner with software, DevOps, and product teams to deliver comprehensive data solutions.
What do we require from you?
- BS Computer Science
- 5+ years of relevant data and apps experience pushed to production at scale
- Data pipeline design and orchestration
- Cloud data platforms on AWS and GCP
- SQL and data modeling for analytics
- Python and Javascript / Typescript
- Sensor, telemetry, and log data handling
- ML data support and dataset management
- Data quality, validation, and governance
- Monitoring, metrics, and diagnostics systems
- Performance and cost optimization
- Linux, Docker, Terraform, and Git
- Experience with low-latency edge-to-cloud data pipelines.
- Familiarity with React/Node.js for internal tools or dashboards.
- Hands-on experience with a range of AWS services & IaC tools (Terragrunt, Atlantis).
- Exposure to additional monitoring tools (e.g., Prometheus) or end-to-end testing frameworks.
Some of our Perks:
- Salary in USD.
- 100% Work from home
- 25 days of Paid Time Off per year.
- 8-hour workday, with flexible hours.
- Welcome kit from the brand.
- High-end hardware provided.
- English classes, virtual library and online courses.
- Contribution bonuses
Ready to take the next step in your career?
Apply now!
