Back-end systems that scale
US-based back-end engineers building Node, Python, and .NET services, APIs, and data layers that hold up under real traffic and audit.
What this service delivers
Back-end development is where the load lives. Your services need to authenticate users, enforce authorization, coordinate data, integrate third parties, and stay up under traffic — all while remaining understandable to the next engineer who reads the code.
NextGen's back-end engineers build in Node.js, Python, and .NET, with strong opinions about boundaries, testing, and observability. We ship APIs, background workers, event pipelines, and integrations for products serving hundreds to millions of users.
Every service we build is designed to be operable: structured logs, meaningful metrics, tracing hooks, and runbooks — because the code you can't see running in production is code you can't trust.
Why choose NextGen Coding
Back-end mistakes compound. Weak service boundaries, ad-hoc data access, and missing observability produce systems that are slow to change and dangerous to touch. NextGen's engineers bring the discipline of teams that have run production systems at Apple, Citi, and Wells Fargo — module boundaries, typed contracts, thorough testing, and deployment safety by default.
We also bring pragmatism. Not every service needs an event bus and a service mesh — most need clear boundaries, good tests, and honest observability. We match architecture to the problem in front of you.
Built for teams that need to move
SaaS product back-ends
Multi-tenant APIs, auth, billing, and data layers for products serving business customers.
Internal platforms
Back-office systems for operations, finance, and support teams.
Integration-heavy applications
Products whose value comes from cleanly wiring together Salesforce, NetSuite, Stripe, and industry-specific APIs.
Data-intensive services
Systems that ingest, transform, and serve significant data volume with correctness guarantees.
Regulated industries
Financial services, healthcare, and legal-tech back-ends that need audit trails, encryption, and access controls.
Legacy modernization
Teams migrating monoliths to services, or moving from on-prem to cloud-native architectures.
Everything included in a NextGen build
REST and GraphQL APIs
Documented, versioned APIs with OpenAPI or GraphQL schemas as the source of truth.
Authentication and authorization
OAuth, OIDC, SAML, JWT sessions, and RBAC/ABAC policies enforced at every layer.
Data modeling
Postgres, MySQL, DynamoDB, and MongoDB schemas designed for query patterns, not just entity shape.
Migrations and seed tooling
Version-controlled migrations, reversible where possible, with seed data for dev and CI.
Background jobs and queues
SQS, Kafka, RabbitMQ, or hosted alternatives with retries, DLQs, and idempotency.
Third-party integrations
Stripe, Twilio, Salesforce, NetSuite, HubSpot, and industry APIs wired with contract tests.
Caching layers
Redis, CDN, and in-process caches placed where they measurably help, not everywhere by default.
Observability
Structured logs, metrics, and distributed tracing via OpenTelemetry into Datadog, New Relic, or Grafana.
Testing
Unit, integration, and contract tests with realistic fixtures and CI gates.
Deployment pipelines
Blue/green, canary, or rolling deploys with automated rollback.
Security hardening
Input validation, secret management, dependency scanning, and OWASP-aware defaults.
Documentation
READMEs, ADRs, and runbooks that make the system operable by anyone on your team.
How the engagement runs
Architecture and boundaries
Domain modeling, service boundaries, data flow, and non-functional requirements.
Foundation
Repo, CI/CD, base service scaffolding, auth, and observability wired before feature work.
Feature build
Feature-by-feature build with contract tests and staging deploys each week.
Load and chaos testing
k6 or Artillery load tests and fault-injection where SLAs demand it.
Security and audit prep
Threat model review, dependency audit, and access control validation.
On-call and iteration
Optional NextGen on-call, plus iteration against real production behavior.
Transparent, US-market pricing
Time-and-materials
Feature and service work at $150–$220/hr blended, invoiced against real hours.
Embedded engineer
Full-time senior back-end engineer embedded with your team. Monthly rate by seniority.
Fixed-scope services
Defined service builds and integrations delivered against milestones.
All pricing is transparent and US-market calibrated. We don't compete on the lowest upfront number — we compete on delivering outcomes that generate the highest return on investment.
Results our clients experience
99.98% uptime
A fintech client's NextGen-built API served 400+ requests/second with 99.98% availability across the first 12 months in production.
12x throughput
A legacy monolith replatform lifted a healthcare client's processing throughput 12x while reducing infrastructure spend 35%.
SOC 2 audit passed
A B2B SaaS client passed their SOC 2 Type II audit on first attempt with our back-end providing the audit trail and access control primitives.
Thought leadership & technical writing
Service boundary heuristics
When to split a service, when to keep it in the monolith, and how to tell the difference.
Postgres at 100M rows
Indexing, partitioning, and query patterns for tables that outgrow your dev machine.
Observability without the vendor lock-in
OpenTelemetry pipelines that work across Datadog, New Relic, and open-source stacks.
Objections, addressed
We already have back-end engineers.+
Then we augment them. Most of our back-end engagements pair with strong internal teams — building a specific service, unblocking a migration, or covering a peak period without expanding headcount permanently.
We're on serverless, not services.+
We work in both. Lambda + API Gateway + DynamoDB is a great fit for some workloads; container-based services fit others. We match the model to the workload.
Can you work with our existing stack?+
Yes. We meet you where your stack is — Ruby on Rails, Django, Spring, .NET, Node, or Go — provided the language matches our engineers' depth in it (Node, Python, .NET, and Go primarily).
Frequently asked questions
Which back-end languages do you support?+
Primarily Node.js/TypeScript, Python, and .NET, with Go on infrastructure-heavy engagements. We'll be honest if a stack falls outside our expertise.
Which databases do you work in?+
Postgres and MySQL for relational, DynamoDB and MongoDB for document, Redis for caching and queues, and ClickHouse or Snowflake for analytics workloads.
How do you handle secrets and credentials?+
AWS Secrets Manager, HashiCorp Vault, or Doppler — never in code or environment files checked into git. Access is scoped by service and rotated on a schedule.
Do you provide on-call coverage?+
Optionally. We can carry primary or secondary on-call for services we built, with a defined SLA and rotation.
Engineering discipline. US-based delivery.
NextGen Coding Company builds websites and software as measurable business assets, not decorative art. Our team combines rigorous engineering discipline with design and conversion strategy, and every deliverable is accountable to an outcome. Clients partner with a single US-based team that owns strategy, design, build, and post-launch iteration.
All work is performed by US-based engineers and designers. Our team's proximity to US business hours, cultural context, and buyer expectations produces web experiences that resonate with domestic audiences — a nuance offshore teams frequently miss. We serve clients from New York and across the country, from early-stage startups through Fortune 500 enterprises.
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