Inside STRADE Engineering: A One-Month Perspective
After one month at STRADE, one thing is clear: engineering is about ownership. That is how Milos Mircov, Software Engineer at STRADE, describes his first weeks.
Teams are small, cross-functional, and close to the business. Engineers, Product Owners, Quality Assurance, and stakeholders work together every day. There are no unnecessary layers and no long feedback loops. Decisions are taken where the work happens.
The path from an idea to production is short. What we build goes live quickly and has visible impact on the STRADE Marketplace. It works alongside it and contributes to shaping it.
The culture supports this way of working. Teams operate with a strong sense of responsibility. Mistakes are addressed openly, with a focus on understanding what happened and improving the system. Discussions are direct. We challenge ideas, not people. This allows engineers to move fast without losing clarity or quality.
At STRADE, decisions are driven by data. System events flow into a structured data pipeline, organized into bronze, silver, and gold layers. This data is used to measure feature performance and understand system behavior. It also powers analytics for customers. Data is built into the platform, not added later.
From a technology perspective, I was impressed by both the breadth of the platform and the attention given to software design. STRADE operates a cloud-native environment on AWS and Kubernetes, with infrastructure managed through Terraform.
Engineers work across technologies such as Node.js, NestJS, Python, FastAPI, Next.js, React, MongoDB, AWS RDS, ClickHouse, and RabbitMQ. What stood out to me is that the focus is not only on using modern technologies, but on building systems with clear boundaries, maintainable architecture, and long-term scalability in mind. A key challenge is integrating multiple aviation systems and data sources that power the STRADE Marketplace.
The long-term goal is continuous delivery. The software remains in a releasable state at all times. Deployment and testing are highly automated, using GitHub Actions and ArgoCD. This enables frequent releases without compromising stability. Quality assurance is a core part of the process. Automation is required to sustain both speed and control.
At STRADE, we combine human and artificial intelligence in a pragmatic way. AI is part of both the engineering process and the product itself. Engineers use it to accelerate research, development, and other repetitive tasks, while AI-powered capabilities are also integrated into the STRADE Marketplace to support users and automate selected workflows. At the same time, ownership of solutions remains firmly with people. Understanding business problems, designing systems, and making architectural decisions are still human responsibilities. The focus is practical: use AI where it creates value and rely on human expertise where judgment and experience matter most.
The onboarding experience is structured from day one. New engineers receive a clear plan for the first week, month, and quarter. A dedicated “take-off guide” supports the process and helps remove early blockers. This makes expectations transparent and allows new team members to contribute quickly.
After one month, the picture is consistent. Engineering at STRADE combines ownership, speed, and a clear connection to the business. Teams work closely together, and technology is built for scale. Engineers work on real problems, see the impact of their decisions, and contribute to a system that is still evolving.