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Where backend developer pay actually separates

$202,850top of the range in California · middle $92,650 / yr
AI is transforming this role

Backend Developers in the United States earn a median of $92,650 a year. Pay starts near $48,100. Pay reaches $202,850 at the top of the range in California, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Web Developers, SOC 15-1254). Last checked 9 September 2026.

Entry level
$48,100
Top of the range · California
$202,850
Education
Bachelor's degree in Computer Science
Lower disruption Higher exposure AI is transforming this role
Entry · $48,100 Top of range · $202,850 (California) Middle $92,650

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Web Developers). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for Backend DeveloperReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Backend Developer work right now.

Claude CodeNEWFree / usage-based

Terminal coding agent that reads your repo, runs tests, and ships multi-file changes.

How a Backend Developer uses it: describe a feature and let it implement and test it across the codebase

OpenAI CodexNEWIncl. w/ ChatGPT plans

Agent that runs longer, deterministic multi-step coding jobs on its own.

How a Backend Developer uses it: delegate a well-defined build or migration and review the finished result

WindsurfNEWFree / $15 mo

Agentic IDE that keeps context across a whole project.

How a Backend Developer uses it: make large, coordinated changes without losing track of the codebase

AWS KiroNEWPreview / see site

Spec-driven coding agent that turns written specs into working code.

How a Backend Developer uses it: write the spec first and let it build to that spec

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How a Backend Developer uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source

CursorFree / $20 mo

AI-native code editor that edits across an entire project.

How a Backend Developer uses it: describe a change in plain English and let it rewrite and refactor whole files

GitHub Copilot (Agent Mode)$10–19 mo

AI pair-programmer built into VS Code and GitHub that now completes multi-step tasks.

How a Backend Developer uses it: hand off a task and have it plan, edit multiple files, and open a pull request

ChatGPTFree / $20 mo

The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.

How a Backend Developer uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions

ClaudeFree / $20 mo

AI assistant known for careful writing, long-document analysis, and coding.

How a Backend Developer uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing

I hire the people who keep a product alive after the screen has done its part. A backend developer on my teams owns the data, the APIs other software calls, and the jobs that run while the office is empty. I care less about a clever trick and more about a system a teammate can change on a tired afternoon without taking customers down with it. If you want applause for a demo and silence after launch, this is the wrong room.

Data, APIs, and the work that runs unattended

A normal week is a mix of building and keeping. You design how information is stored so a later change does not require a heroic rewrite. You expose routes that a web client, a mobile client, or another service can call, with clear failures when the input is wrong. You write jobs that bill, sync, clean, or notify without a person clicking a button, and you notice when one of those jobs stalls. The decisions are concrete. Which checks belong in the database and which belong in the service. What happens when a dependency is down. How a deploy goes out, and how it comes back if the error rate jumps. Who gets paged, and what they need to see in the first look at a log.

The places are an engineering office, a kitchen table on a remote team, and the incident channel when something breaks after dinner. The people are frontend and mobile teammates who need a contract they can trust, a product manager who wants a capability described in customer terms, support staff who feel the bug first, and the other backend developer who will own your code next quarter. Security and data neighbors show up when the change touches accounts, payments, or personal records. You do not get to be surprised that they have a say. A backend seat that "moves fast" by skipping them is a seat I will close.

I judge the quiet parts. Names that still make sense in a year. Errors a caller can act on. A job that can be run again without double-charging or double-sending. A migration that has a way back. Tests around the behavior a customer would notice, kept current when the behavior changes. Documentation short enough that someone will read it, placed where the change lives. None of that is glamorous. All of it is why a system stays up. When I say proof, I mean a production path you can point at and a diff a teammate can modify without asking you to translate your own intent.

The pay figures on this page are the Bureau series Web Developers, SOC 15-1254, listed by Occupational Employment and Wage Statistics as of May 2025. Backend work is the server side of software. The published title is broader, and it is the label these dollars carry. Say that once in a negotiation so you are quoting a real series, then describe the services you will own. A recruiter who hears only "backend" and a peak number, with no series and no scope, is hearing a wish.

What stands in for a licence

The proof I actually use

There is no occupational licence for this seat. Employers hire on systems that stay up and on code a teammate can change. A degree, a bootcamp, or a climb from another technical job can open the door. The work after that is the credential.

People arrive from computer science programs, from other engineering majors, from self-directed study, and from adjacent jobs such as support, QA, or scripting inside an operations team. I have hired all of those paths when the person could show a service with real edges: bad input, a failed dependency, a job that must be safe to repeat. Employer training then covers the local stack, the deploy path, and the on-call habit. Tell me what you have run, who used it, and what broke. A tutorial cloned and lightly renamed is easy to spot. A small system you operated for someone else, even inside a class project with users, is a better start than a long list of tools.

If you are early, build one service and keep it boring on purpose. Store a few kinds of records, offer a handful of routes, run one unattended job, and write down how you would recover it. Put it where I can read it, secrets removed. In the interview, walk the failure cases before you walk the happy path. I am listening for whether you think about the teammate who inherits the repository. Style debates are cheap. A clear boundary between modules, and a reason for it, is expensive in the best way.

The hiring conversation I run on a real change

I will ask you to extend a small existing service, or to review a change as if you were the teammate on call. Talk about data shape, about what the caller should see when something fails, and about how you would ship it. Mention what you would measure after release. Admit what you would look up. I trust a developer who says "I would confirm the current library behavior" more than one who invents an API from memory and keeps going. The point is judgment under partial information, which is the job.

Bring two stories. One is a feature you shipped that another person later modified. One is an incident or a near miss: what paged, what you checked, what you changed, and what you left for the next morning. Leave employer secrets out. If you cannot share code, describe the shape: a billing job that double-sent, a route that timed out when a dependency slowed, a migration that locked a busy table. I care that you know why it happened and what you would do sooner next time. Blame aimed at "users" or at "the business" ends the interview for me.

Companies hire this work inside product teams, agencies, and internal platforms. A product team wants you close to one customer problem for a long time. A platform team wants you building the paved road other developers use. A small company wants you to cover more of the stack and to be honest about the edges you have not touched. Say which setting you want, and say how you feel about on-call. Some teams rotate it. Some pretend it is optional until the first outage. Ask who gets woken up, what the handoff looks like, and whether incident work is respected or treated as a personal failure. That answer belongs in the same conversation as pay.

Developer, senior, and the staff seat that spans teams

The path I use is developer, senior, then staff. A developer owns features inside a service with a senior nearby for design and review. A senior owns the design of a service, reviews other people's changes with specifics, and is calm in an incident without taking the keyboard away from the person who needs to learn. Staff means a problem that crosses teams: a data boundary, a reliability habit, a migration that several groups must finish together. Staff is still a builder. The hollow version is a meeting calendar and an opinion about tools. Ask whether the staff seat still ships, and whether other teams are actually accountable to the direction.

Promotions here should cite systems, not vibes. Keep a short record of services you own, incidents you improved, and changes teammates shipped on top of your work. When you ask for senior, point at design you already did and reviews that made someone else's code clearer. When you ask for staff, point at a cross-team result and at the people who will say the result was real. I advance the developer who makes the next change cheaper and safer. I stall the one who is indispensable because nobody else can read the code. Indispensable, in my shop, is a defect.

On-call deserves a plain description before you price the job. A humane rotation tells you when you are responsible, what can page you, who backs you up, and what "handled" means the next day: a note, a fix, a follow-up that is scheduled rather than heroics forever. A careless rotation is a silent pay cut, because your evenings become unpaid design time. Ask for the rotation in the offer conversation, and ask whether incident follow-up is part of the role or a favor. I pay attention to candidates who ask this without apology. They have usually been the person holding a broken job at a bad hour, and they know the difference between a rare page and a system that pages because nobody owns it.

If you are changing careers, translate the old work into backend habits. A support lead who has written the steps for a recurring failure already knows how to make an incident readable. A data analyst who has defended a number already knows how a wrong record becomes a wrong decision. An operations person who has automated a chore already knows what an unattended job feels like when it fails halfway. Say the translation. Then show the small service. I do not hire the translation alone, and I do not ignore it. The combination is what moves a career changer from a courtesy interview to an offer near a real rung of the pay ladder.

Remote, hybrid, and office seats can all be serious. What changes is how design gets reviewed and how incidents get hands. Ask how a change is discussed when people are in different cities, and ask how a new developer gets context without sitting beside someone. A remote team with written decisions and a reachable reviewer can be an excellent first senior seat. A remote team with silence and a hero who fixes production alone is a trap at any salary. Put that next to the dollar. A higher number attached to a trap is still a trap, and a fair number attached to a team that reviews your work is how you become the senior who can ask for the next step.

Scope and pay have to name the same chair. A new developer learning the deploy path belongs toward the opening figure. A senior who owns a service and a rotation belongs nearer a typical paycheck, adjusted for the state if this page charts that state. Staff scope in a high-paying market is where a high end might enter the conversation, and only as a high end, tied to the state where that figure is published. The map is in the next section. Use it as a candidate, not as a slogan.

Where $48,100, $92,650, and $202,850 belong in your ask

The opening figure on this page is $48,100. The typical national paycheck for the series is $92,650. The difference is $44,550. That difference is the climb from a new developer, still heavily coached, to typical pay for the published occupation. If the role is senior in everything but the number, say so with $44,550 in the sentence: the duties match the typical paycheck, and the offer matches the opening. The opening figure fits a first job, a career change with a small system behind it, and a plan to review your work closely. It is a poor fit for someone who already runs on-call and designs services alone.

California's top of the range is $202,850, published where this occupation is populous enough for a peak to be released. Climbing from a typical national paycheck to that California peak covers $110,200. Treat the peak as a peak. California's own typical paycheck, the state median, is $119,570. On this chart, Washington's typical paycheck is higher still, at $130,440, which is $37,790 above the national typical figure. Virginia's median is $128,380. Maryland's is $112,690. Missouri's is $103,750. So a California address does not automatically mean the strongest typical pay on the page. Washington leads the medians shown here. California leads the high end of the range. Those are different boasts, and you should pick the one that matches the offer.

If you will work in Washington, set a senior offer beside $130,440 before anyone mentions California's peak. If you will work in Virginia, $128,380 is the local typical figure. If you will work in California, $119,570 is the typical local paycheck and $202,850 is the high end, relevant when the scope is scarce staff-level responsibility in that state. Missouri's $103,750 still sits above the national typical paycheck, so a Missouri senior offer parked at $92,650 is worth a calm comparison with the state median. Geography is a wage fact. Scope is the other fact. A staff title with no cross-team duty does not earn a peak, and a real staff duty priced like a first job does not become fair because the title sounds junior.

Take four anchors into the conversation and leave the rest in your notes. $48,100 for a coached start. $92,650 for a typical national paycheck once you own services. The state median when your state is Washington, Virginia, California, Maryland, or Missouri. $202,850 only as California's high end, spoken with the words "high end," attached to scope that matches it. Use $44,550 when the chair and the offer point at different rungs. Use $37,790 when a Washington offer ignores how far that state's typical pay sits above the national picture. Use $110,200 only to show how far the California peak is from a typical national paycheck, which is an argument for precision. I remember candidates who can do that. They tend to be the same people who can explain a rollback.

The top of Backend Developer pay — and how to get there with AI

$202,850what Backend Developer pay reaches in California

Highest state-level top-of-range annual wage for Web Developers, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

And the role it leads to — Software Developers — reaches $272,670 in California.

$48,100entry$92,650middle$202,850top end

A backend developer at the upper end can say what the system does at peak traffic, what it costs to keep it there, and which change bought the improvement — with measurements, not opinions.

Backend work counted in tickets closed stops rewarding you fast. The corner that keeps paying is performance and its bill: knowing the slow path by measurement rather than instinct, running the site tests that follow every revision, and writing specifications precise enough that another team builds against them without a meeting. Assistants absorb what used to eat the week — reading a query plan alongside you, drafting a load harness, turning a release diff into a specification note — so the scarce part is choosing what to measure and standing behind the figure you publish.

Your playbook, by where you are now

Just startingMeasure before you touch anything

  1. Take the slowest request path you own and record its timing at every hop before you change one line of supporting code.
  2. Write the test plan that runs after each revision, and make failures loud rather than quiet.
  3. Automate the chores nobody notices until they break — certificate expiry, domain name registrations, backup verification — with Power Automate or Zapier.
  4. Set up automated responses for the routine user email inquiries you keep answering by hand, and keep the ones that deserve a person.
  5. Ask Claude to walk a slow query plan with you until you can explain that plan unaided.

What proves it: A before-and-after timing record for one path, naming the change that caused it.

Realistic span: the first two years

A few years inTake capacity and the running bill

  1. Load-test ahead of launches instead of after incidents, and publish what the system did at each traffic level.
  2. Move a read path onto storage shaped for it — Amazon DynamoDB or Amazon Redshift, depending on the query — and record the reasoning where the next person finds it.
  3. Own what your services cost to run on Amazon Elastic Compute Cloud EC2 and bring that figure to planning yourself.
  4. Write one integration specification in real detail — protocols, languages, failure behaviour, operating requirements — so another team builds from it without asking you questions.
  5. Take an on-call rotation and write the incident notes properly while the evening is still fresh.

What proves it: A capacity note that a launch decision was made on.

Realistic span: years three through six

ExperiencedSet the budget everyone builds to

  1. Publish a performance budget for the surfaces you own and make it a review gate rather than an aspiration.
  2. Rebuild one legacy path where old AJAX calls hammer an endpoint, and cut the traffic instead of buying capacity for it.
  3. Keep the team's reading habit real: one technology review a month ending in a written recommendation.
  4. Widen into full software development scope once you hold the reliability story; California employers pay most for developers who carry both building and running.

What proves it: A performance budget enforced at review that you did not have to police personally.

Realistic span: seven years in and later

The next 90 days

Choose the single slowest thing your users touch and spend ninety days becoming the person who understands it. Instrument each hop, record timings under real traffic, run a load test that reaches the level you expect next year, and write down what breaks first and what it costs to prevent. Recommend one performance improvement, implement it, and measure again. Most backend developers can describe their system; very few can produce a page of numbers showing what it does under pressure, and that page is what gets you handed the parts of the platform that matter.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Backend Developer

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Start with an agentic coding tool wired into your repo. Open Claude Code, Cursor, or GitHub Copilot and point it at your codebase; ask it to explain an unfamiliar service, then to write tests for a function you already understand. You learn its failure modes on low-risk work before you trust it with more.

For design and debugging with no proprietary code, use Claude or ChatGPT to reason through a schema, a query plan, or a stack trace. Keep anything with real credentials or customer data inside approved, zero-retention tools — the model does not need your prod secrets to help you think.

The one rule, forever: AI-generated code is a draft, not a merge. Never paste secrets, credentials, customer PII, or proprietary code into a consumer AI tool; use enterprise/zero-retention modes for anything work-related. Review every line for security (injection, broken authorization, SSRF) and for hallucinated or typosquatted dependencies before you install them, and make sure it is covered by tests you actually understand. You own the bug and the breach, not the model.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Ship features faster with an agentic coder you supervise
Why this pays: Throughput on well-tested code is the visible signal that gets you to senior and staff; AI multiplies it — but only if the output is reviewed and correct.
Claude CodeCursorGitHub Copilot
1
Give Claude Code or Cursor a tightly-scoped task with the acceptance criteria and let it draft the implementation and tests; then review every diff as if a junior wrote it.
Copy-paste this prompt
Implement [an idempotent POST /refunds endpoint] in [FastAPI/Python]. Requirements: validate against [this Pydantic schema], write to [Postgres] in a transaction, be idempotent on the [idempotency-key header], emit a [Kafka] event, and return proper status codes. Write unit and integration tests, and list the edge cases you handled and the ones you did not.
Scope tightly and demand tests plus an edge-case list; review every line — you are accountable for what merges, not the model.
2
Keep a CLAUDE.md or rules file with your conventions so the agent matches your codebase instead of inventing its own style.
What you'll haveMore reviewed, tested features shipped per sprint — the visible output that drives promotion toward staff-level pay.
2
Design schemas and distributed-systems tradeoffs with AI as sparring partner
Why this pays: Design judgment — data models, consistency, failure modes — is what separates a coder from a top-of-range engineer; AI is a fast whiteboard partner that sharpens it.
Claude / ChatGPTdbdiagram / MermaidPostman (Postbot)
1
Before writing code, have Claude stress-test your design: describe the system and ask it to poke holes in your schema, indexing, and consistency choices.
Copy-paste this prompt
I am designing [a ledger service for wallet balances]. Here is my proposed schema and access patterns: [paste]. Critique it for normalization vs. read performance, how to guarantee no double-spend under concurrency, indexing, and how it degrades at [10x] volume. Propose alternatives with tradeoffs.
Use to pressure-test design on sanitized/abstract details; the final call and the money-losing edge cases are yours to own.
2
Generate the API contract (OpenAPI) and let Postman's Postbot draft the test collection, then verify against real behavior.
What you'll haveDesigns that survive scale and concurrency — the architecture judgment that defines and pays for staff/principal roles.
3
Kill bugs and incidents faster with AI debugging
Why this pays: Being the person who resolves the nasty production incident builds the reputation that gets you the critical-system ownership top pay follows.
Sentry (Seer)Datadog (Bits AI)Claude / ChatGPT
1
Wire Sentry Seer or Datadog Bits AI into your services so errors arrive with an AI-suggested root cause and a candidate fix you evaluate.
Copy-paste this prompt
Here is a stack trace and the relevant function: [paste sanitized]. Walk me through the likely root cause, three hypotheses ranked by probability, the exact logging/queries to confirm each, and a minimal safe fix with a regression test.
Use on sanitized traces to structure the hunt; confirm the root cause with real telemetry before shipping the fix.
2
After resolution, have the AI draft the postmortem timeline and action items from your notes — you own the analysis.
What you'll haveLower MTTR and cleaner postmortems — the incident-response reputation that earns you the highest-stakes, highest-paid systems.
4
Make security and code review non-negotiable
Why this pays: Shipping fast without shipping vulnerabilities is what lets you be trusted with revenue-critical systems; AI security tooling scales your review.
SnykSemgrep (Assistant)CodeRabbit
1
Run Snyk and Semgrep in CI to catch vulnerable dependencies and insecure patterns, and add CodeRabbit for AI pull-request review — then triage the findings yourself.
Copy-paste this prompt
Review this [Go] handler for security issues: injection, broken authorization, SSRF, unsafe deserialization, and secrets in code. For each finding, show the vulnerable line, the exploit, and the fix. Code: [paste sanitized].
Use as a first-pass reviewer on sanitized code; you confirm each finding and are responsible for what is actually exploitable.
2
Verify every AI-suggested dependency actually exists and is the real, maintained package — hallucinated or typosquatted packages are a live supply-chain attack.
What you'll haveFast delivery without security debt — the trust that gets you ownership of payment, auth, and data systems at the top of the band.
5
Automate the tests and the toil
Why this pays: High coverage and less manual toil free your time for high-value design work — and let you own more surface area, which is what staff pay rewards.
GitHub CopilotClaude Codek6
1
Use the agent to backfill unit and integration tests on legacy code and to generate k6 load-test scripts, so you can refactor and scale with confidence.
Copy-paste this prompt
Generate a [k6] load test for [POST /checkout] simulating [500 RPS ramping over 2 minutes], with thresholds for p95 latency and error rate, and realistic think time. Then suggest what metrics to watch and the likely first bottlenecks for a [Postgres-backed] service.
Use to scaffold load tests; run against staging, never blindly against production, and interpret the results yourself.
2
Have the agent write scripts for the repetitive toil (data migrations, one-off backfills) with a dry-run mode you review before running.
What you'll haveConfident refactors and scaling backed by real tests — the freedom to own bigger systems that pay at the top of the range follows.
6
Level up to staff with an AI learning loop
Why this pays: The jump to staff/principal comes from depth (distributed systems, a domain like payments) plus visible technical leadership; AI accelerates both.
NotebookLMClaude / ChatGPTGitHub
1
Load a hard reference (a distributed-systems text, your company's design docs) into NotebookLM and drill the concepts; use Claude to review your own design docs before you circulate them.
Copy-paste this prompt
Act as a staff engineer reviewing my design doc: [paste sanitized]. Evaluate it for clarity, missing failure modes, scalability, operability (metrics, alerts, rollback), and cost. List the questions a tough design review would ask and where my reasoning is weakest.
Use to strengthen your own docs on sanitized content; the design decisions and their consequences are yours.
2
Publish an internal tech talk or write-up on a system you improved — visibility plus depth is the staff-promotion formula.
What you'll haveDemonstrated depth and technical leadership — the exact evidence that earns the staff/principal titles paying up to $203k.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $202,850 tier.

Month 1
Adopt an agentic coder (Claude Code/Cursor/Copilot) on low-risk tasks — tests and explanations — and learn its failure modes.
Months 2-3
Move feature work to the agent with tight specs and rigorous review; add AI PR review and security scanning to CI.
Months 3-6
Use AI as a design sparring partner on schemas and distributed-systems tradeoffs; own a small service end to end.
Months 6-9
Wire in AI debugging/observability and become the go-to for incidents.
Months 9-12
Deepen one domain (payments, infra, data) and publish an internal design doc or talk.
Year 2
Own a critical high-scale system and lead its design — the staff-level scope near the top of the band.
Next steps for a Backend Developer

Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.

Backend Developer work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Web Developers (SOC 15-1254). O*NET Job Zone 3 is typical: vocational school, an apprenticeship, or an associate-level credential, so the honest next credential is a certificate, an apprenticeship-aligned course, or an associate-level program — not a random catalog dump.

The occupation's listed knowledge area is Design, which is what the course searches below actually query.

Backend Developers in this dataset list AJAX among the tools in use, so a program that names that stack is a better fit than a survey course.

Design programs on Coursera for Backend Developer work

Coursera search for design — a certificate, an apprenticeship-aligned course, or an associate-level program that lines up with computing, not a generic professional-development aisle.

Design courses on edX

edX search for design, aimed at computing (SOC 15-1254). Same field as the Coursera link, different university catalog.

Screened remote and flexible Backend Developer listings on FlexJobs

FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Backend Developer work, not a claim that they list a counted SOC 15-1254 inventory.

Build a Backend Developer resume on Resume Now

Write a Backend Developer resume, or one aimed at Software Developers, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.

Build a Backend Developer resume on Zety

A Backend Developer resume that names the actual tasks on this page, or the step-up title Software Developers, beats a blank template when you apply.

What Backend Developers earn by state

These are the Bureau of Labor Statistics’ own figures for Web Developers, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.

Washington
$130,440
highest of them · +41% vs the national median
Montana
$62,060
lowest of the 26 states that qualify · -33% vs the national median
The same job pays $68,380 more a year at the median in Washington than in Montana — 110% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $202,850, is a different statistic in a different place: it is the 90th-percentile wage in California. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
Washington$130,440Virginia$128,380California$119,570Maryland$112,690Missouri$103,750Minnesota$101,020Utah$100,170New York$98,580

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 15-1252. 26 states clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace backend developers?
It is transforming the job, not deleting it. AI writes a lot of the code, but someone has to own the data model, the concurrency and failure modes, the security, and the production consequences — and be accountable when money or data is on the line. The engineers who thrive use AI to move up the stack of responsibility; the ones who only typed boilerplate are the most exposed.
Can I trust AI-generated backend code?
As a reviewed draft, yes; as a merge, never. It hallucinates APIs and packages, gets authorization and concurrency subtly wrong, and does not know your system's invariants. Treat it like a fast junior: useful, quick, and requiring that you review and test every line you are accountable for.
Is it safe to paste our code into ChatGPT?
Not proprietary code, secrets, or customer data into consumer tools. Use enterprise/zero-retention modes or in-repo tools with proper data controls for work code, and reserve public tools for abstracted problems and learning. When in doubt, sanitize.
Won't AI let cheap juniors do my job?
AI raises everyone's floor, which is exactly why the premium moves to judgment — system design, debugging hard production issues, security, and domain depth. Those are the things AI cannot be accountable for, and they are what staff/principal pay rewards. Invest there.
How do I actually reach the $203k top of the range?
Depth plus scope. Use AI to clear the routine so you can own a critical, high-scale system in a valuable domain (payments, infra, data platforms), build a track record of reliability and incident response, and show technical leadership. That combination — not raw code volume — is what staff and principal offers pay for.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources