Software development jobs in the United States

Explore software development jobs in the United States. Choose a role or place to find work that fits.

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 52,604
Employers: 9,870

Advertised starting pay

Average starting payUSD / year: $140,660Across 11,163 listings
Average starting payUSD / hour: $56.94Across 2,321 listings
Average starting payUSD / month: $12,827Across 57 listings
Average starting payCAD / year: $135,070Across 45 listings
Average starting payUSD / week: $2,051Across 11 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 8%4,456 listings
Hybrid: 7%3,638 listings
On-site: 15%7,859 listings

Not specified: 70% (36,651 listings)

Employers hiring include Akamai Technologies, Inc. (771), Lockheed Martin (695), JPMC page (609).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in the United States

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Added just now
Software Engineer, XR Developer
Aether
Remote, United States
Aether is building a comprehensive AI-driven platform for the built world. Our core software is used by solar, roofing, and heat pump companies to deliver advanced 3D modeling, simulation,…
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Software Engineer, Three.js
Aether
Remote, United States
Aether is building a comprehensive AI-driven platform for the built world. Our core software is used by solar, roofing, and heat pump companies to deliver advanced 3D modeling, simulation,…
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- $40,000 to $60,000 USD / year
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EdgeQ Technologies Private Limited
Remote, United States
- $75,000 to $125,000 USD / year
We are seeking a motivated and detail-oriented Software Developer to join our engineering team. The ideal candidate will have a strong foundation in pr
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Ruby Software Engineer
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Baltimore, MD · Chicago, IL
- $95,000 to $165,000 USD / year
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- $85,000 to $160,000 USD / year
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- $85,000 to $150,000 USD / year
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Remote, United States
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Industry: Information Technology & Software Development

Gradientflo Labs

Full Stack Developer (Founding Team)

San Francisco, CA, United States

$40,000 to $60,000 USD / year

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Job details

Pay: $40,000 to $60,000 USD / year
Experience: 10+ years full stack experience with both React/Next.js (FE) and Python/FastAPI (BE).
Posting language: English

Original job description

Role Overview You will be the bridge between front-end flow and backend logic at Vibecoderz. One moment you’ll be implementing a Cmd+K command palette with buttery animations, the next you’ll be optimizing a Firestore schema to store 100K concurrent learner sessions. As our founding Full Stack Developer, you’ll own end-to-end delivery of features - from Next.js interfaces and block-based editors to FastAPI microservices and GCP workflows. You’ll ensure the TutorAgent’s intelligence and the Vibe Browser’s actions are experienced by users in real time, reliably and securely. You’ll use Linear for execution, Notion for specs, and GitHub for repos, collaborating with FE, BE, AI, Prompt, DevOps, and QA to ship polished, production-ready features at startup velocity.

Key Responsibilities

End-to-End Feature Delivery - Own user stories from PRD → FE/BE design → shipped feature, ensuring zero gaps between front and back layers.
Frontend Engineering - Build real-time collaborative UIs using Next.js, Tailwind, and shadcn/ui. Implement command palettes, block-based editors, and waveform animations.
Backend Engineering - Architect FastAPI services with async workflows, secure endpoints, and clean Firestore/Neo4j schemas.
Realtime Integration - Connect WebSocket events to FE interfaces, ensuring smooth TutorAgent streaming, live cursors, and collaboration features.
AI Workflows Integration - Expose AI outputs (artifacts, quizzes, code snippets) as APIs, and render them cleanly in the FE workspace.
Data Modeling - Define schemas across Firestore and Neo4j (Developer Graph), ensuring efficient queries and scalable structures.
Authentication & Security - Implement Firebase Authentication (Google/GitHub OAuth), JWT validation in API Gateway, and FE session handling.
Performance Optimization - Keep FE interaction latency <200ms, API p95 <100ms, and ensure SSR + RSC patterns deliver SEO-ready performance.
Testing & Reliability - Write E2E tests (FE + BE), schema validation, and contract tests to ensure regression-free deployments.
Collaboration Across Tools - Manage tasks in Linear, write clear PRDs in Notion, and maintain GitHub repo hygiene.
Problem Solving - Anticipate scaling issues across both FE and BE; propose solutions that balance developer experience and system reliability.

Success Metrics

90 Days (Probation):

Deliver one complete feature end-to-end (Text → Course → Artifact → Certification).
Deploy FastAPI → Cloud Run service with FE integration.
Workspace live with block editing, Cmd+K palette, and one AI-gen flow.

12 Months:

Handle 100K+ MAUs with <100ms p95 API latency and <200ms FE interaction latency.
Achieve feature parity with top-tier SaaS (Linear/Notion-level polish).
Zero Sev1 issues caused by FS-owned code in two consecutive quarters.
Test coverage >85% across FE + BE code.

Must-Haves

10+ years full stack experience with both React/Next.js (FE) and Python/FastAPI (BE).
Proven ability to ship end-to-end features in production SaaS products.
Strong grasp of async I/O, distributed systems, and real-time UIs.
Product company background with evidence of scaling products.
Deep understanding of SSR/CSR hybrids, caching, and API design.

Nice-to-Haves

Experience with Neo4j Graph DB.
Contributions to open-source frameworks (React, Next.js, FastAPI).
Prior work on AI-driven products or multi-agent systems.
Startup/founding engineer experience.

Tech Stack Visibility

Frontend: Next.js (App Router), React, TypeScript, Tailwind CSS, shadcn/ui, Zustand, Lucide icons, Framer Motion
Realtime: WebSockets, OT/CRDT frameworks
Backend: FastAPI, Python Async, Cloud Run, API Gateway
Data: Firestore, Neo4j Aura (Developer Graph), Redis
Workflows: Cloud Tasks, Cloud Workflows
Auth: Firebase Authentication (Google/GitHub OAuth)
CI/CD: GitHub Actions, Docker, Terraform
Observability: OpenTelemetry, Google Cloud Trace
Tools: Linear (execution), Notion (PRDs/specs), GitHub (repos)

Assessment Objective: Validate ability to build and deliver an end-to-end feature across FE + BE.

Challenge (Candidate PoC):

Build a Text → Course flow:
FE: Chat panel where user enters “Teach me React Hooks.”
BE: FastAPI endpoint /generate-course that returns structured course outline.
FE: Render outline as interactive blocks (slide, quiz, code snippet).
Add a Mini-App Sandbox:
FE: Code block with syntax highlighting + “Run” button.
BE: /generate-miniapp endpoint returning runnable JS snippet.
Execute safely in iframe with logs/errors captured.
Background Workflow:
Trigger certificate generation (mock PDF) via Cloud Task.
Fire Firestore trigger → SendGrid transactional email.
Performance:
FE interaction latency <200ms.
BE endpoint p95 <100ms.

Deliverables:

Deployed demo (Vercel + Cloud Run).
GitHub repo with FE + BE modular code.
Firestore schema + example data.
Postman collection for APIs.
5-min Loom walkthrough.

Evaluation Criteria:

Architecture & Code Quality (25%)
FE/BE Integration & UX (25%)
Real-time Performance (20%)
Data Modeling & Workflow Integration (15%)
Documentation & Testing (15%)

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