Backend & Infrastructure
What we do
Backend systems that handle millions of requests with sub-second response times, recover from failures without human intervention, and operate within predictable cost envelopes. Our engineers have deep experience with distributed systems, container orchestration with Kubernetes and ECS, event-driven architectures, and cloud-native deployments across AWS, GCP, and Azure. Observability, automated failover, infrastructure as code, and runbooks are part of the initial delivery.
API Development
RESTful, GraphQL, and gRPC APIs designed for performance, developer experience, and backward compatibility. We implement pagination, filtering, field selection, and batch operations that reduce client-side complexity. Every endpoint includes rate limiting, input validation, and structured error responses.
Cloud Architecture & Migration
AWS, GCP, and Azure infrastructure design optimized for cost, performance, and operational simplicity. For existing systems, we plan and execute cloud migrations with minimal downtime using blue-green deployments, database replication, and traffic shifting strategies.
DevOps & CI/CD Pipelines
Automated build, test, and deployment pipelines using GitHub Actions, GitLab CI, or Jenkins. We configure containerized builds with Docker, implement security scanning with Snyk or Trivy, and establish deployment strategies including canary releases, feature flags, and automated rollback on failure.
Database Design & Optimization
PostgreSQL, MySQL, MongoDB, Redis, and purpose-built data stores selected and configured for your specific access patterns. We design schemas for query performance, implement connection pooling, configure read replicas for scaling, and establish backup and point-in-time recovery procedures.
How we work together
Architecture Assessment
We evaluate your current infrastructure, identify performance bottlenecks, and design a target architecture that meets your scaling, compliance, and cost requirements. For greenfield projects, we conduct capacity planning based on projected user growth and data volumes. Outputs include architecture diagrams, technology selection rationale, and a migration or implementation roadmap.
API & Service Design
Contract-first API development using OpenAPI or Protocol Buffers, with clear versioning strategies, authentication via OAuth 2.0, rate limiting, and thorough request validation. We implement microservices where they reduce complexity and monoliths where they make more sense - the decision is driven by your team size, deployment cadence, and domain boundaries.
Infrastructure as Code
Terraform, Pulumi, or AWS CDK templates that make your infrastructure reproducible, auditable, and version-controlled. Every environment - development, staging, production - is provisioned from the same codebase with environment-specific variables. We configure auto-scaling policies, backup schedules, and disaster recovery procedures as part of the initial setup.
Observability & Reliability
Structured logging with ELK or CloudWatch, metrics dashboards in Grafana or Datadog, distributed tracing with OpenTelemetry, and alerting rules calibrated to minimize noise while catching genuine incidents. We define SLOs, configure error budgets, and establish on-call runbooks so your team can operate the system confidently from day one.
View Work Fairway Finder
Full-stack product build for America's largest golf tee time discovery platform across 50 markets.
View Work FMCG QA on Edge
Real-time dimension and damage detection on high-speed conveyor lines using edge-deployed computer vision.
View Work MMA Betting Intelligence
Gradient boosting and deep learning ensemble across four data sources with profit-gated deployment delivering 10-20% ROI.
View Work NBA Betting Engine
Processing 3,000+ features with sub-minute refresh cycles to generate profitable NBA game predictions.
View Work NCAA Betting System
Predictive modeling across 350+ college basketball programs with tournament auto-scaling and real-time inference.
