Foundation technology · India and global delivery
Focused Golang APIs, microservices, event-driven backends, and data boundaries designed for reliability, clarity, and operability.
Service overview
Backend architecture is an ownership model expressed in software. We define domains, contracts, data responsibility, failure behavior, security, observability, and deployment before splitting a system into services. Golang is used where its simplicity and runtime profile fit the product.
What we build
The deliverable includes decisions, system boundaries, quality controls, documentation, and ownership—not only implementation.
Model business rules, resource ownership, contracts, versioning, authorization, idempotency, and integration boundaries.
Build maintainable Go services with explicit dependencies, predictable configuration, tests, and resource limits.
Design transactional boundaries, PostgreSQL access, caching, queues, background jobs, and event-driven coordination.
Add health checks, structured logs, metrics, tracing, graceful shutdown, migrations, and safe deployment behavior.
End-to-end engagement
Deepak remains connected to business direction, architecture, implementation quality, and stakeholder decisions through the engagement.
Align buyers, users, business outcomes, constraints, current systems, evidence, risks, and the smallest useful scope.
Make boundaries, data, integrations, security, quality attributes, operating ownership, and trade-offs explicit.
Build in reviewable increments with tests, demonstrations, documentation, acceptance criteria, and stakeholder visibility.
Deploy, observe, support, learn from real use, and prioritize the next improvement using evidence.
Buyer paths
The scope changes by maturity and risk while the engineering standard remains explicit.
Create a backend foundation that supports fast product work without accumulating invisible operational risk.
Replace overloaded applications or fragile integrations with clear APIs and dependable workflows.
Modernize service boundaries and data ownership across complex, multi-team platforms.
Relevant experience
Relevant work includes distributed HRTech architecture spanning 15+ services, healthcare and reporting APIs, real-time systems, data platforms, and containerized backend delivery.
Typical engagement targets
These are planning targets, not guaranteed or fabricated client results. Baselines and acceptance criteria are confirmed during discovery.
Technology foundation
Questions
Clear constraints produce a better technical decision and a more useful first scope.
Not automatically. A modular monolith is often the stronger starting point. Services are separated when ownership, scaling, deployment, isolation, or organizational boundaries justify the cost.
Yes. We design explicit APIs, events, data ownership, and migration stages so new Go services can coexist with current systems.
Connected capabilities
Most production outcomes cross product, backend, cloud, data, and operational boundaries.
Cloud & platforms
Secure, reliable, cost-aware AWS foundations for applications, APIs, containers, data, AI workloads, backups, and global delivery.
Explore serviceCloud & platforms
Delivery platforms, CI/CD, infrastructure automation, observability, and reliability practices that help product teams ship safely.
Explore serviceData systems
Governed data pipelines, custom analytics modules, reporting products, operational dashboards, and database foundations for real decisions.
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