What We Build
We deliver across every layer of the SaaS stack — from the experience your users touch to the data platforms behind it. Each capability is operated by senior engineers within a SAFe-aligned delivery model.
Web & Digital Experience
Responsive, accessible interfaces built on React, Next.js, TypeScript, and GraphQL. Performance-tuned with CDN optimization, SSR/ISR, and ADA-compliant components.
Backend & Microservices
Scalable APIs and services on Node.js and Java Spring Boot. Event-driven architectures using Kafka and Debezium, Redis caching, and domain-bounded service contracts.
Integration Engineering
Resilient integrations across CRM, payments, identity, and partner systems. Retry logic, error handling, idempotency, and data reconciliation built into every interface.
Data Engineering & Analytics
Ingestion pipelines, real-time streaming, ETL/ELT, and analytics dashboards. Schema evolution, replication, and reporting platforms ready for executive visibility.
QA Automation & DevSecOps
Shift-left validation, automated regression suites, SAST/DAST, and CI-integrated security scans. Performance and resilience testing aligned to production conditions.
Custom Tooling & Automation
Purpose-built monitoring dashboards, error insights, data reconciliation utilities, and workflow automation that eliminate repetitive operational tasks.
The NovusVista Delivery Assurance Framework
Four pillars that govern how every engagement transitions, stabilizes, ships, and evolves — with explicit operating standards at each stage.
Transition Assurance
- Structured stabilization period
- Shadow → Co-deliver → Lead ownership
- Comprehensive knowledge transfer & documentation
- POD velocity established in first sprints
Stability Assurance
- High-availability objectives baked into design
- Zero-tolerance for production-impacting regressions
- Pre-release readiness checks
- Mature L3 ownership & proactive monitoring
Delivery Assurance
- High PI predictability and consistent velocity
- Tight variance between commitment and delivery
- Balanced feature / tech-debt / support backlog
- Real-time visibility across all KPIs
Innovation Assurance
- Quarterly Innovation Backlog
- AI-driven engineering accelerators
- Automated efficiency improvements
- Modernization proposals tied to clear ROI
How We Deliver SaaS, Stage by Stage
Four delivery scenarios covering most of what SaaS teams ask us to do — from launching a brand-new product to making an existing platform faster, safer, and cheaper to operate.
Greenfield SaaS Build
Architecture, domain model, and delivery standards established before iteration begins. The foundation is what makes feature #50 cheap.
Discovery & Domain Model
User journeys mapped, bounded contexts defined, data ownership decided. The 80% of decisions that lock in your architecture happen here.
Foundation Sprint
CI/CD, observability, identity, feature flags, test harness, and deployment pipelines wired in before the first business feature is built.
Iterative Build (PI Cadence)
Two-week sprints, PI planning, joint backlog refinement. Velocity measured, scope protected, technical debt budgeted alongside features.
Release Readiness
Performance baselines locked, runbooks written, on-call rotation set up, phased rollout planned. Day 1 in production looks like day 100.
Brownfield Modernization
Enhance and modernize existing SaaS platforms without breaking what already works. Understand existing behavior before you change a line.
Codebase Insight
Cross-service dependency mapping, API contract review, and identification of hidden coupling before any code changes.
Impact Plan
Every proposed change ships with an explicit list of services touched, rollback steps, and a regression test plan — before estimation.
Controlled Build
Changes bounded to approved areas, feature-flagged where useful, with code review structured against the impact plan, not just style.
Regression Assurance
Automated regression suite runs on every PR. Performance deltas measured. Nothing ships if it slows down or breaks an existing flow.
Scale & Performance Engineering
Find what's actually slow, fix the right things, prove it under load. Not guess-and-pray optimization.
Baseline & Profile
Datadog and Splunk traces, flame graphs, p50/p95/p99 latencies, N+1 queries, and slow endpoints surfaced with real production data.
Targeted Fixes
Query tuning, caching strategy (Redis), read replicas, queue-based decoupling, async processing, autoscaling rules — applied where the data points.
Load Verify
k6 / JMeter load tests against staging, with realistic traffic shapes. Performance improvements are measured, not claimed.
Safe Rollout
Phased rollout behind feature flags, real-time monitoring, automatic rollback if performance regresses.
Quality Hardening
Make releases boring on purpose. Automated tests catch what humans miss, observability catches what tests miss.
Test Coverage Lift
Unit, integration, contract, and end-to-end Playwright tests across critical user journeys. AI accelerates test generation for legacy paths.
Security Built In
SAST, DAST, dependency scanning, secret detection — wired into CI. Vulnerabilities fail the build, not the customer.
Observability
Logs, metrics, distributed traces, SLO dashboards. When something goes wrong, you know within 60 seconds — and where to look.
Runbooks & On-Call
Every incident type gets a documented runbook. On-call rotations established. Post-incident reviews close every loop with a permanent fix.
Real SaaS Engineering We've Shipped
Selected production work — distributed architectures we've built, problems we've solved, results we can name.
Event-Driven Synchronization Platform
Distributed, event-driven synchronization across remote nodes with intermittent connectivity. Local-first writes, offline-safe queueing, and conflict-free reconciliation when networks return.
Stack: Kafka, Debezium, Postgres, Node.js, event sourcing
Outbox Pattern for Reliable Events
Guaranteed event delivery and data integrity across decoupled services. Atomic dual-write replaced with an outbox + change data capture pipeline — zero lost events under load.
Stack: Postgres, Debezium, Kafka, Spring Boot, transactional outbox
SREInsights — Multi-Marketplace Observability
Operational intelligence platform aggregating signals across multiple marketplaces. Faster SRE response, fewer customer-visible incidents, and SLO dashboards executives actually use.
Stack: React, Node.js, Datadog, Splunk, distributed tracing
Technologies We Build With
Modern, battle-tested choices. We pick technologies based on the job in front of us, not what's trending.
Frontend
React · Next.js · TypeScript · Redux · GraphQL · Tailwind · SSR/ISR
Backend & Microservices
Node.js · Java Spring Boot · REST · GraphQL · gRPC · OpenAPI contracts
Events & Data
Kafka · Debezium · Redis · PostgreSQL · Snowflake · Tableau
DevOps & SRE
Docker · Kubernetes · Terraform · GitHub Actions · ArgoCD · Datadog · Splunk
Security
SAST · DAST · Keycloak · OAuth2/OIDC · Dependency scanning · Secret detection
Cloud
AWS · Azure · GCP · Vercel · Cloudflare · Multi-region deployments
Engineering Partners, Not Just Vendors
Five things that make NovusVista different from a typical offshore dev shop — and what they actually mean for your engagement.
Deep Domain Engineering Expertise
Senior engineers with decades of experience building production platforms across travel, finance, retail, and SaaS. Domain context shows up in week one, not month six.
Platform Builders, Not Just Coders
Our team has architected platforms from greenfield through scale-out and post-launch support. We think in systems, not tickets.
Lean, Agile, Fast-Moving
Flat org, delivery-first mindset, decisions in hours not weeks. No layers of account managers between you and the engineers actually doing the work.
AI-Ready & Innovation-Oriented
We adopt AI inside our own delivery pipeline — test generation, defect prediction, code-review assistance — to drive measurable velocity gains for clients.
Cost-Efficient Global Delivery
Modular PODs with consistent overlap to US Eastern Time. Blended senior and mid-level teams. Predictable throughput with stable composition for long-term support.
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Tell us about your platform, your roadmap, and what's slowing you down. We'll respond within one business day with a tailored delivery proposal.
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