NAM Tech Solutions

SERVICES

Execution,engineered.

Production systems designed and shipped with the disciplineof senior big-tech teams—explicit decisions, measurable tradeoffs,and ownership that extends well beyond launch.

Core Engineering

Product engineering across UI, services, and systems—designed to scale with clarity.

Systems that stay fast as features multiply

  • System design with explicit tradeoffs, boundaries, and performance budgets.
  • Feature delivery with testing discipline, code reviews, and maintainable architecture.
  • Modernization paths that reduce risk: incremental migration, strangler patterns, and harness-first refactors.
design.md
# Architecture Notes
- Define boundaries (UI / API / data)
- Set performance budgets (LCP, p95 latency)
- Choose safe rollout strategy (canary, blue/green)
- Make operability first-class (logs/metrics/tracing)

CATALOG

Service catalog

Pick a lane—or let us own the system end-to-end. These are the most common ways teams engage us.

Get a proposal

Web Experience Engineering (Static + Web Apps)

Premium marketing sites and complex web apps with performance, accessibility, and SEO built in.

Data Visualization · Real-Time

Dashboards that stay fast as data grows—streaming updates, drilldowns, and KPI clarity.

Product Engineering · System Design

Architecture decisions with tradeoffs documented—built for scale, operability, and clean handoff.

SaaS · Cloud & Infrastructure

Secure multi-tenant patterns, CI/CD + IaC, and reliability baked into the release process.

Backend & API Engineering

REST/GraphQL APIs, async workflows, webhooks, and predictable latency on critical paths.

Data Modeling & Database Engineering

Schema design for evolution, migrations, indexing strategy, and query performance tuning.

LLM Integration · RAG Pipelines

Retrieval-first systems grounded in your knowledge base—with evaluation, guardrails, and cost control.

AI Chatbots & Automation Tools

Support and internal copilots with tool-calling workflows, escalation paths, and quality telemetry.

UNDERSTAND

Constraints defined. Risks surfaced.

We align on the system boundary and success criteria, then turn unknowns into explicit constraints—so delivery stays deterministic under real-world pressure.

  • Stakeholder intent distilled into measurable outcomes and non-goals.
  • Constraints captured: latency, data locality, compliance, timelines, ownership model.
  • Risk register created (security, reliability, migration, operational load).
  • Acceptance criteria written in production terms: SLOs, budgets, and failure expectations.
SCOPE + CONSTRAINTS MEMORISK REGISTERINITIAL SLO TARGETS

DESIGN

Tradeoffs documented. Failure modes mapped.

We make architectural decisions reviewable: tradeoffs are written down, failure modes are enumerated, and operational ownership is designed—not hoped for.

  • Architecture options compared with explicit tradeoffs and kill-switch paths.
  • Threat model + data flow documented; security posture established early.
  • Failure modes mapped: degradation, retry behavior, backpressure, timeouts.
  • Release strategy defined (canary / blue-green) with verification gates.
SYSTEM DESIGN DOCTHREAT MODEL + DATA FLOWFAILURE MODE TABLE + MITIGATIONS

BUILD

Instrumentation first. Code second.

Before we scale delivery, we scale visibility. Instrumentation is the scaffolding that prevents surprises and makes the system observable from day one.

  • Tracing, logs, metrics, and dashboards wired before feature throughput ramps.
  • Core APIs and data contracts implemented with tests and performance budgets.
  • Feature work ships behind flags; rollbacks remain cheap and immediate.
  • Quality gates enforced in CI: lint, typecheck, tests, security scanning.
OBSERVABILITY BASELINECI GATESVERSIONED CONTRACTS + TESTS

HARDEN

Load, chaos, rollback.

We prove production readiness with evidence. Hardening is where systems earn trust: performance under load, resilience under failure, and safe rollback under stress.

  • Load and soak tests validate p95/p99 latency and scaling behavior.
  • Chaos scenarios exercised: dependency failure, queue lag, partial outages.
  • Rollback plans rehearsed; data migration is reversible or safely forward-only.
  • Runbooks drafted: incident response, escalation, and on-call ergonomics.
LOAD TEST REPORTROLLBACK PLANRUNBOOKS + INCIDENT CHECKLIST

SHIP

Controlled release. Zero surprises.

Release is treated as an engineering operation. We deploy with control, verify with telemetry, and expand exposure only when the system proves it can hold.

  • Canary / staged rollout with automated verification (smoke + SLO checks).
  • Progressive exposure: environment parity, traffic shaping, and guardrails.
  • Post-deploy monitoring and alert tuning to reduce noise and prevent fatigue.
  • Stakeholder sign-off is based on metrics, not optimism.
RELEASE CHECKLISTVERIFICATION GATESALERT ROUTING + DASHBOARDS

OPERATE

Ownership doesn’t end at deploy.

Operation is the steady state. We keep the system reliable, fast, and evolvable—so teams can iterate without destabilizing production.

  • SLOs enforced with clear error budgets and incident review cadence.
  • Capacity planning and cost controls tracked as first-class engineering work.
  • Handover includes docs, runbooks, and training for production ownership.
  • Continuous hardening: dependency updates, security posture, and performance tuning.
OWNERSHIP PACKAGESLO DASHBOARD + ALERTSSYSTEM LIVE CHECKLIST

HOW WE WORK

Execution runway.

DELIVERY SYSTEM

ENGAGEMENT

Engagement options (how teams start)

Most teams don’t need “more features.” They need a delivery shape that matches constraints: risk, timeline, ownership, and quality bar. Pick a starting point—each one is designed to be reviewable, measurable, and clean to hand off.

BLUEPRINT

Blueprint Sprint

You need clarity before you commit: scope, budgets, risks, and sequencing.

  • Define constraints (latency, reliability, security, cost) and what “done” means.
  • Produce a buildable plan: boundaries, contracts, milestones, rollout + rollback path.
  • Identify the fastest slice to ship without destabilizing production.

TYPICAL OUTCOME

A technical plan your team can execute—with tradeoffs documented and risks surfaced early.

Talk to an engineer

BUILD

Build + Harden

You need a real release—not a prototype—and it must survive production reality.

  • Ship a scoped slice end-to-end with tests, telemetry, and verification gates.
  • Bake in release safety: staged rollout, monitoring, and rollback triggers.
  • Deliver operable handoff: docs + runbooks so your team owns it.

TYPICAL OUTCOME

Production-ready capability shipped with measurable guarantees and clean ownership transfer.

Request a proposal

MODERNIZE

Modernize in Slices

You can’t pause delivery, but the system needs modernization without a rewrite.

  • Migration-by-slice (strangler patterns) with compatibility and safe cutovers.
  • Budgets + observability first so improvements are measurable— not risky.
  • Retire legacy gradually with verification at every step.

TYPICAL OUTCOME

A safer, faster system—without stopping the business or betting on a rewrite.

Talk to an engineer

EMBEDDED

Embedded Technical Lead

You have a team, but need senior direction to raise execution and reduce reversals.

  • Drive architecture decisions, reviews, and delivery discipline inside your repo.
  • Establish standards: budgets, release gates, observability, operable handoff.
  • Unblock critical paths and transfer patterns your team can sustain.

TYPICAL OUTCOME

Higher shipping velocity with fewer production surprises—and a stronger internal operating model.

Request a proposal
See the Artifact Vault →

Proof lives on Standards—so Services can stay focused on fit and execution.

FAQ

Direct answers to the questions teams ask before we start—scope, ownership, security, and delivery.

READY TO SCOPE IT?

Send your goal, constraints, and timeline.

We’ll respond with a technical plan and a proposal aligned to your priorities.