Engineers · By stack
Browse the bench by language, framework, and platform. Every stack on this page has G6+ engineers in active production. Engagements run against outcomes, not hourly rates.
Languages
2 stacksPython
Senior Python engineering for production systems — Django, FastAPI, data pipelines, ML inference, and automation that survives the operating cutover.
TypeScript
TypeScript across the stack — Next.js apps, Node.js services, Hono / Bun / Deno edges, and the type discipline that makes refactors safe at scale.
Frontend
3 stacksReact
Senior React engineering — App Router and Server Components, design systems that don't drift, accessibility-first interfaces, and bundle budgets defended at every release.
Vue.js
Vue 3 + Nuxt 3 for production frontends — Composition API, Pinia, server-rendered Nuxt, and the design-system discipline Vue rewards but most teams still under-invest in.
Angular
Angular for enterprise frontend at scale — standalone components, signals, NgRx where it fits, and the long-term-maintainability discipline that the framework rewards.
Backend
9 stacksNode.js
Production Node.js services — Hono, NestJS, Fastify, edge runtimes. APIs with contracts, idempotency, and the operational discipline the JavaScript runtime is rarely given credit for.
Java
Java engineering for enterprise scale — Spring Boot, Micronaut, Quarkus, JVM tuning, and the legacy modernization work that doesn't end in a six-month rebuild.
.NET
.NET 8+ engineering for enterprise systems — ASP.NET Core, minimal APIs, EF Core, Azure-native deployments, and the .NET Framework 4.x → .NET migrations the proposal usually under-scopes.
Go
Go for systems that need to be fast, predictable, and easy to operate — APIs, gRPC services, control planes, and the kind of infrastructure tooling Go was designed to ship.
Rust
Rust for systems where memory safety, predictable performance, and zero-cost abstractions are the value — services, embedded targets, WASM runtimes, and the rewrite of hot paths the old language couldn't defend.
PHP / Laravel
Modern PHP 8.3+ and Laravel for production web applications — Octane, Livewire, Inertia, queues, and the operational discipline most PHP shops still skip.
Ruby on Rails
Rails for the workloads it was designed for — content-led web apps, marketplaces, B2B SaaS — with Hotwire, Sidekiq, and the modern Rails 7+ tooling that quietly outperforms what the discourse credits it for.
Solidity / Smart contracts
Production smart-contract engineering — Solidity, Foundry / Hardhat, audited deliverables, gas-optimized, upgrade-aware, and the operational discipline that distinguishes shipped contracts from GitHub demos.
Salesforce
Salesforce engineering — Apex, LWC, Flow, Salesforce DX, and the platform-customization discipline that distinguishes a senior implementation from a configuration handover.
Mobile
5 stacksiOS / Swift
Native iOS engineering — Swift, SwiftUI, Combine, Core Data, App Store review hardening, and the privacy-manifest discipline App Tracking Transparency now demands.
Android / Kotlin
Native Android engineering — Kotlin, Jetpack Compose, Coroutines, Hilt, and the long-tail device discipline (Pixel 4a → Galaxy S25, Android 10+) most apps under-test for.
React Native
React Native for cross-platform reach — TypeScript, the New Architecture (Fabric / TurboModules), Expo where it fits, and the native-module discipline most teams skip and pay for later.
Flutter
Flutter where pixel-perfect cross-platform UI is the value — Dart, Riverpod, custom rendering with Skia / Impeller, and the design-system discipline Flutter rewards.
Kotlin Multiplatform
Kotlin Multiplatform for genuine cross-platform code-share — shared business logic across iOS, Android, web, and backend with native UI on each platform. The cross-platform pick when the shared layer matters more than the UI.
Data & AI
3 stacksAI / ML
Senior AI/ML engineering — generative AI, RAG, agents, MLOps, and the eval discipline production AI requires once it leaves the demo.
Data Engineering
Production data engineering — Snowflake, dbt, Airflow / Dagster, lakehouses, data quality, lineage, and the governance frame that distinguishes a working warehouse from a data swamp.
MLOps
MLOps as production engineering — model registries, eval harnesses, drift monitoring, A/B testing, and the operational substrate that distinguishes shipped ML from notebook demos.
Platform & Ops
2 stacksAWS
AWS architecture and engineering — multi-account, multi-region, IaC-driven, FinOps-aware, and the operating discipline that defends an SLO instead of just tracking spend.
DevOps / SRE
Senior DevOps and SRE — IaC, Kubernetes, observability, incident management, FinOps, and the operational discipline that defends an SLO instead of just tracking it.
A different commercial conversation
Most “hire X developers” sites bill hourly contractors against your management. Prosigns runs senior-engineering engagements against outcomes — fixed-scope, embedded squads, or managed services. If you genuinely need staff-aug, we’ll be honest and route you elsewhere.
See engagement modelsEngagements run against deliverables. Fixed-scope where the outcome is defined, embedded squads where the work is product-shaped, managed services where steady-state operations are the value.
Six-plus years in their craft, minimum. Department leads at G9 or G10 (nine-plus years). We don't flex juniors onto the bench mid-sprint, and we don't dilute senior rates with mixed staffing.
The engineers in the SOW are the engineers shipping the work. We don't bait-and-switch with senior reviewers and junior execution. Replacement requests are handled with explicit handoff at the same seniority tier.
Every engagement gets the relevant practice lead at no additional cost — 30 minutes weekly with the embedded engineers, on-demand for hard architecture or compliance calls. Backing, not just placement.
Talk to a practice lead
30-minute discovery with a senior engineer plus the practice lead most relevant to the work. No discovery gauntlet, no junior reps.