Senior Backend Engineer

This role is a strong fit for a senior backend engineer who enjoys owning complex, high-impact systems end to end and operating as a technical leader in a fast-moving product environment. It will appeal to engineers with deep experience designing scalable APIs, working with both relational and NoSQL databases, and running production systems in the cloud, who are comfortable making architectural decisions and taking responsibility for reliability and performance. The position suits someone who thrives in ambiguous problem spaces, enjoys mentoring other engineers, and wants to influence engineering standards and practices while building mission-critical software. It is especially relevant for engineers interested in large-scale operational platforms, data-driven systems, and real-world domains where technology can meaningfully modernize fragmented industries and deliver measurable efficiency gains.

1. What backend technologies and languages are you most experienced with?
   I’m strongest with TypeScript/JavaScript in Node.js, building RESTful and event-driven services, and I have solid experience with C# and ASP.NET Core for APIs and background services.

2. Describe your experience designing and maintaining large-scale backend systems.
   I’ve designed and maintained microservice-based backends handling high traffic and complex workflows, focusing on clear service boundaries, stable contracts, observability, and automated testing so services can evolve independently without breaking upstream or downstream consumers.

3. How do you approach API design for a multi-tenant SaaS platform?
   I start with clear domain modeling and resource boundaries, design versioned, backward-compatible APIs, and ensure tenant isolation via tenant IDs, scoped authorization, rate limits, and careful data partitioning so multi-tenancy doesn’t compromise performance or security.

4. What is your experience with relational and NoSQL databases in production?
   I’ve used relational databases like PostgreSQL/MySQL for transactional data and NoSQL stores like MongoDB/Redis for document and cache workloads, designing schemas, indexes, migrations, and monitoring query performance to keep latency predictable under load.

5. Which cloud platforms have you worked with, and how did you use them?
   I’ve worked primarily with AWS and Azure, using managed databases, container services, message queues, serverless functions, and monitoring tools to deploy, scale, and observe backend services in a cloud-native way.

6. How do you ensure reliability and observability for the systems you build?
   I add structured logging, metrics, and tracing from day one, define SLOs and alerts around key flows, use health checks and graceful degradation, and regularly review incidents and dashboards to catch regressions before customers do.

7. Describe a time you led a backend project or team through a complex initiative.
   I led a cross-service initiative to rework a core workflow, coordinating schema changes, API evolution, and rollout strategy; I broke the work into safe, incremental steps, aligned stakeholders, mentored junior engineers, and we shipped with zero downtime and clear performance gains.

8. How do you handle technical debt while still delivering new features?
   I surface debt explicitly, estimate its impact, and fold refactors into feature work wherever possible, reserving capacity each sprint for purely technical improvements when necessary, and I communicate trade-offs clearly to product so we can prioritize responsibly.

9. What attracts you to working on backend systems in logistics/transportation specifically?
   Logistics is full of real-time, stateful, and constraint-heavy problems—perfect for thoughtful backend engineering—and the impact is tangible: better routing, fewer errors, and more efficient freight movement directly affect businesses and the broader economy.

10. How do you embody ownership and a blameless culture in your day-to-day work?
    I own my services end-to-end, including on-call, communicate openly when issues arise, focus on fixing systems rather than blaming people, and use post-incident reviews to learn and improve processes and tooling for everyone.

This position is a strong match for a senior/staff-level backend engineer in the US who wants to own large-scale, cloud-native SaaS systems end to end—designing and operating high-traffic APIs and services in Azure (ideally with C#/.NET, CosmosDB, Cognitive Search, CI/CD via Azure DevOps), working with both relational and NoSQL databases, leading and mentoring engineers, and having direct impact on modernizing freight logistics in a blameless, high-ownership, highly technical environment.