Scalable cloud infrastructure with APIs, container orchestration, and distributed backend services

Backend & Infrastructure

Product Engineering & Design
OVERVIEW

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.

WHAT WE DELIVER

Capabilities

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 optimised 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 containerised 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 & Optimisation

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.

YOUR ENGAGEMENT

How we work together

01

Architecture Assessment

02

API & Service Design

03

Infrastructure as Code

04

Observability & Reliability

Step 01

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. Deliverables include architecture diagrams, technology selection rationale, and a migration or implementation roadmap.

Step 02

API & Service Design

Contract-first API development using OpenAPI or Protocol Buffers, with clear versioning strategies, authentication via OAuth 2.0, rate limiting, and comprehensive 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.

Step 03

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.

Step 04

Observability & Reliability

Structured logging with ELK or CloudWatch, metrics dashboards in Grafana or Datadog, distributed tracing with OpenTelemetry, and alerting rules calibrated to minimise 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.

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