Work

Backend Engineering in Action

Transforming Backend Challenges into Strategic Advantages

We partner with scaling technology companies to solve their most pressing backend engineering challenges. The following projects demonstrate how our integrated approach delivers measurable results across different industries and technical domains. Each case represents a collaboration where we added 1 or 2 senior engineers for a short period to help build what is described. Deep expertise meeting specific business needs to create systems that scale, perform, and evolve.



Scaling a Real-Time Analytics Platform



Context: A B2B SaaS company in manufacturing needed to process IoT sensor data from factory equipment in real time. Their existing Python/Java backend could not handle the data volume from new enterprise clients, causing dashboard latency of 15+ seconds and frequent timeouts during peak hours.

Solution: We added two senior Node.js/TypeScript engineers specialized in real time data pipelines for a 10 week engagement. They redesigned the architecture using Apache Kafka for event streaming, ClickHouse for time series aggregation, and a Node.js microservice layer with WebSocket support for live dashboard updates.

Results: Data processing throughput increased from 5,000 to 85,000 events per second. Dashboard query latency dropped from 15 seconds to 230ms. System reliability improved to 99.97% uptime. The client successfully onboarded 3 new enterprise manufacturers without infrastructure issues.



Microservices Migration for a FinTech Payments Platform



Context: A well known payments fintech with a monolithic Ruby on Rails application was experiencing scaling bottlenecks during peak sales periods. Their 8 year old codebase made new feature development slow and risky.

Solution: We added two engineers (Node.js/TypeScript and system design) for a 9 month engagement to lead the migration. They implemented a strangler pattern, starting with the payments service, building it as an isolated Node.js/TypeScript service with PostgreSQL.

Results: The new payments service handled 12,000 transactions per minute at peak, 3 times the monolith capacity. Deployment frequency increased from once per week to multiple times daily. Critical bug resolution time dropped from 4 hours to 25 minutes due to better observability.



High-Performance API Platform for a TravelTech Scale-up



Context: A travel technology company aggregating flights, hotels, and car rentals needed to rebuild their public API to serve B2B partners. Their existing PHP API was slow, poorly documented, and could not handle concurrent requests from new partners.

Solution: We added two senior backend engineers and one technical writer for documentation for a 12 week engagement. They built a Node.js/TypeScript GraphQL API with Apollo Server, implementing query complexity analysis, Redis caching, and sophisticated rate limiting.

Results: API response times improved from 1.2 seconds to 85ms for cached queries. The platform successfully onboarded 22 new B2B partners in the first month, handling 15 million requests daily. Developer satisfaction scores from partners increased from 2.8 to 4.6 out of 5.



Multi-Tenant SaaS Platform for HR Tech



Context: An HR technology startup needed to rebuild their single tenant application into a true multi-tenant SaaS platform to support rapid enterprise customer acquisition. Their existing architecture could not isolate customer data effectively.

Solution: We added a senior backend architect and one Node.js engineer for an 8 month engagement. The team designed a multi-tenant architecture using schema per tenant in PostgreSQL with row level security and built automated provisioning pipelines.

Results: New client onboarding time reduced from 14 days to 45 minutes through automation. The platform successfully scaled to support 67 enterprise tenants within 10 months, handling 2.3 million daily API requests.



Real-Time Logistics Tracking & Optimization Engine



Context: A logistics company managing 500+ delivery vehicles needed to upgrade their legacy tracking system to provide real time ETAs, dynamic route optimization, and predictive delay alerts.

Solution: We added two engineers (real time systems and DevOps) for a 6 month engagement. We built a Node.js event processing system that ingested GPS data via MQTT and processed it through a real time optimization engine.

Results: Location tracking latency reduced from 5 minutes to 3 seconds. Route optimization reduced average delivery times by 18% and fuel consumption by 12%. Predictive delay alerts achieved 92% accuracy.



Security Assessment: SaaS Identity & Access Gaps

Context: A fast growing B2B SaaS platform with 200+ enterprise clients suspected their multi-tenant authentication had vulnerabilities but lacked internal security expertise to validate.

Assessment: We conducted a 2 week penetration test focused on tenant isolation, JWT handling, and role based access controls. Found critical IDOR vulnerabilities allowing cross-tenant data access.

Resolution: Delivered prioritized remediation roadmap. The client fixed 12 high risk issues within 10 days. No breach occurred. Follow-up audit confirmed all gaps closed.



Security Assessment: E-commerce Payment & Checkout

Context: An online retailer processing 50,000+ daily transactions needed their checkout flow and payment webhooks tested before a PCI compliance audit.

Assessment: We ran a 1 week black box pentest on their Node.js backend, Stripe integration, and webhook endpoints. Uncovered insecure direct object references, price tampering vulnerabilities, and missing webhook signature verification.

Resolution: Worked alongside their engineers to patch all findings. The client passed their PCI audit with no exceptions. Zero payment incidents reported in the following 6 months.



Security Assessment: Logistics API & Data Exposure

Context: A logistics platform with real time shipment tracking APIs discovered unusual API usage patterns, suggesting potential unauthorized access to customer shipment data.

Assessment: We performed a 10 day API security assessment including authentication flows, API key rotation, and GraphQL query depth analysis. Found exposed internal shipment endpoints and a GraphQL introspection vulnerability leaking database schema information.

Resolution: The client implemented our remediation within 2 weeks. Unauthorized access patterns stopped completely. A retest confirmed all vulnerabilities were properly addressed.




The Integrated Engineering Partnership Approach

Our methodology is defined by deep integration rather than transactional delivery. We begin every engagement by embedding engineers directly into your workflow, joining your communication channels, adopting your development tools, and participating in your planning rituals. This initial immersion phase is non-negotiable; it builds the shared context necessary for high-velocity collaboration and ensures technical decisions are made with full awareness of your business objectives and architectural vision. The goal is to eliminate the "black box" effect of traditional outsourcing, where requirements disappear into a void and code emerges without rationale.

We prioritize ownership as the cornerstone of quality. Engineers from our partnership do not just build features to specification; they assume long-term responsibility for the systems they create. This is operationalized through shared participation in on-call rotations, collaborative post-mortems for incidents, and joint definition of reliability targets like Service Level Objectives. This accountability loop creates a powerful psychological shift: the developer who feels the direct impact of a midnight alert is intrinsically motivated to build more resilient, observable, and maintainable systems from the outset.

Our model enables elastic, specialized scaling. We function as an extension of your talent acquisition strategy, providing immediate access to senior, vetted experts in specific domains, be it real-time data pipelines, distributed system design, or API platform development. This allows you to address capability gaps or project surges without the 6-9 month lead time and long-term financial commitment of permanent hiring. The team composition is dynamic, scaling up with specialized squads for intensive build phases and scaling down to focused maintenance support, all while preserving critical institutional knowledge.

We champion architectural sustainability over short-term velocity. While we deliver quickly, our focus extends beyond immediate deliverables to the long-term health of your backend platform. This means advocating for and implementing foundational elements: comprehensive observability stacks, automated deployment pipelines, clean service boundaries, and thorough documentation. We build systems that are designed to evolve, making future enhancements, whether scaling tenfold or integrating new technologies, predictable and manageable rather than fraught with risk.

Knowledge transfer and capability building are integral, not ancillary. Our engagement model is designed to elevate your internal team's effectiveness. We practice paired programming, conduct deep-dive architecture reviews, and create living documentation that captures not just "what" was built but "why" critical decisions were made. The objective is to strengthen your organization's internal expertise, ensuring that the systems we help create remain fully understandable and modifiable by your core team, fostering independence rather than creating vendor dependency.

Communication and transparency are engineered into our process. We establish clear, predictable rhythms for synchronization, from daily technical stand-ups to strategic stakeholder reviews. Progress, challenges, and key metrics are communicated proactively through shared dashboards and concise updates. This creates an environment of trust and alignment, where potential obstacles are surfaced early and collaboratively addressed, keeping projects on track and expectations firmly managed.

We measure success through your business outcomes, not just our output. Our performance is evaluated against the tangible impact on your operations: reductions in system latency, improvements in deployment frequency, increases in platform stability, and acceleration of your product roadmap. This outcome-oriented alignment ensures that every line of code and every architectural decision is made in service of your strategic goals, not just the completion of a technical scope of work.

The partnership is structured for long-term evolution. We view our role not as a project-based vendor but as a strategic technical partner. As your business grows and your technology needs evolve, we adapt alongside you, providing continuity of context, deepening our understanding of your domain, and ensuring that the backend foundation we help build continues to serve as a robust engine for your growth, iteration, and innovation for years to come.