Amazon backend engineering salaries

Across 257 open backend engineering postings at Amazon that state a range, the middle half pays $169k–$198k a year, with a median of $169k. The lowest posted floor is $81k and the highest ceiling $262k. This is base pay as posted by Amazon, converted to US dollars; equity and bonus are not included.

From pay ranges in open postingsRebuilt 6 Oct 2026

The range

Lowest floor$81k
25th percentile$169k
Median$169k
75th percentile$198k
Highest ceiling$262k

Postings by the midpoint of the posted range, in steps of $20k

Middle halfMedian bucket

Median by team at Amazon

Engineering leadership$218k
Legal$195k
AI and machine learning$194k
Security$181k
Science and research$178k
Sales$174k

Postings with a stated range: Engineering leadership 7 · Legal 13 · AI and machine learning 54 · Security 31 · Solutions engineering 122 · Product management 165 · Science and research 5 · Sales 64

Backend engineering pay by level

LevelPostingsMedianMiddle half
Junior6$160k$134k–$169k
Mid-level173$169k$169k–$169k
Senior72$198k$198k–$198k

358 backend engineering roles open at Amazon now

257 of them show the pay range on the posting.

Questions

How much does Amazon pay for backend engineering roles?

The median of the 257 posted ranges is $169k a year; the middle half sits between $169k and $198k.

Is this base salary or total compensation?

Base salary as written in the posting. Many US employers post ranges under state pay transparency laws (California, New York, Washington, Colorado and others); equity and bonus are not part of these figures.

Why posted ranges and not self-reported salaries?

A posted range is what the employer commits to for a role it has open today. It is fresher than a survey and cannot be inflated by respondents. Each posting counts once, at the midpoint of its range.

Which level pays most?

Senior roles have the highest median here: $198k a year across 72 postings.

Source: the pay ranges of 257 open postings on Amazon's careers board; the midpoint of each rangeUpdated 6 Oct 2026MethodologyJSONCC BY-SA 4.0