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2022 Cloud Wage Survey – O’Reilly


Final 12 months, our report on cloud adoption concluded that adoption was continuing quickly; nearly all organizations are utilizing cloud providers. These findings confirmed the outcomes we received in 2020: every part was “up and to the correct.” That’s in all probability nonetheless true—however saying “every part continues to be up and to the correct” can be neither fascinating nor informative. So quite than confirming the identical outcomes for a 3rd 12 months, we determined to do one thing completely different.

This 12 months’s survey requested questions on compensation for “cloud professionals”: the software program builders, operations workers, and others who construct cloud-based purposes, handle a cloud platform, and use cloud providers. We restricted the survey to residents of america as a result of salaries from completely different international locations aren’t instantly comparable; along with fluctuating change charges, there are completely different norms for acceptable compensation. This survey ran from April 4 by April 15, 2022, and was publicized through electronic mail to recipients of our Infrastructure & Ops Publication whom we may establish as residing in america or whose location was unknown.

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Govt Abstract

  • Survey respondents earn a mean wage of $182,000.
  • The typical wage enhance over the previous 12 months was 4.3%.
  • 20% of respondents reported altering employers up to now 12 months.
  • 25% of respondents are planning to alter employers due to compensation.
  • The typical wage for girls is 7% decrease than the typical wage for males.
  • 63% of respondents work remotely on a regular basis; 94% work remotely no less than in the future per week.
  • Respondents who participated in 40 or extra hours of coaching up to now 12 months obtained greater wage will increase.

Of the 1,408 responses we initially obtained, 468 have been disqualified. Respondents have been disqualified (and the survey terminated) if the respondent mentioned they weren’t a US resident or in the event that they have been beneath 18 years previous; respondents have been additionally disqualified in the event that they mentioned they weren’t concerned with their group’s use of cloud providers. One other 162 respondents stuffed out a part of the survey however didn’t full it; we selected to incorporate solely full responses. That left us with 778 responses. Contributors got here from 43 states plus Washington, DC. As with our different surveys, the respondents have been a comparatively senior group: the typical age was 47 years previous, and whereas the biggest quantity recognized themselves as programmers (43%), 14% recognized as executives and 33% as architects.

The Massive Image

Cloud professionals are nicely paid. That’s not a shock in itself. We anticipated salaries (together with bonuses) to be excessive, they usually have been. The cloud professionals who responded to our survey earn a mean wage of $182,000; the most typical wage vary amongst respondents was $150,000 to $175,000 per 12 months (16% of the entire), as proven in Determine 1. The height was pretty broad: 68% of the respondents earn between $100,000 and $225,000 per 12 months. And there was a major “lengthy tail” within the compensation stratosphere: 7% of the respondents earn over $300,000 per 12 months, and a couple of.4% over $400,000 per 12 months.

Determine 1. Annual wage by proportion of respondents

We consider that job adjustments are a part of what’s driving excessive salaries. In spite of everything, we’ve heard about expertise shortages in nearly each area, with many employers providing very excessive salaries to draw the workers they want. By staying with their present employer, an worker might get an annual wage enhance of 4%. But when they modify jobs, they may get a considerably greater supply—20% or extra—plus a signing bonus.

20% of the respondents reported that they modified employers up to now 12 months. That quantity isn’t excessive in and of itself, nevertheless it appears to be like quite a bit greater whenever you add it to the 25% who’re planning to depart jobs over compensation. (One other 20% of the respondents declined to reply this query.) It’s additionally indicative that 19% of the respondents obtained promotions. There was some overlap between those that obtained promotions and people who modified jobs (5% of the entire mentioned “sure” to each questions, or roughly one quarter of those that modified jobs). Whenever you take a look at the variety of respondents who left their employer, are planning to depart their employer, or received a promotion and a wage enhance, it’s simple to see why wage budgets are beneath stress. Proper now, certified candidates have the facility within the job market, although with the inventory market correction that started in March 2022 and important layoffs from some giant technology-sector corporations, that could be altering.

These conclusions are borne out whenever you take a look at the salaries of those that have been promoted, modified jobs, or intend to alter jobs. A promotion roughly doubled respondents’ year-over-year wage enhance. On the typical, those that have been promoted obtained a 7% elevate; those that weren’t promoted obtained a 3.7% enhance. The outcome was nearly precisely the identical for individuals who modified jobs: those that modified averaged a 6.8% wage enhance, whereas those that remained averaged 3.7%. We additionally see a distinction within the salaries of those that intend to depart due to compensation: their common wage is $171,000, versus $188,000 for individuals who didn’t plan to depart. That’s a $17,000 distinction, or roughly 10%.

Salaries by Gender

One aim of this survey was to find out whether or not ladies are being paid pretty. Final 12 months’s wage survey for knowledge and AI discovered a considerable distinction between males’s and ladies’s salaries: ladies have been paid 16% lower than males. Would we see the identical right here?

The fast reply is “sure,” however the distinction was smaller. Common salaries for girls are 7% decrease than for males ($172,000 versus $185,000). However let’s take a step again earlier than salaries in additional element. We requested our respondents what pronouns they use. Solely 8.5% mentioned “she,” whereas 79% selected “he.” That’s nonetheless solely 87% of the entire. The place are the remaining? 12% most popular to not say; this can be a bigger group than those that used “she.” 0.5% selected “different,” and 0.7% selected “they.” (That’s solely 4 and 6 respondents, respectively.) In comparison with outcomes from our survey on the info/AI trade, the proportion of cloud professionals who self-identified as ladies seems to be a lot smaller (8.5%, versus 14%). However there’s an necessary distinction between the surveys: “I favor to not reply” wasn’t an choice for the Knowledge/AI Wage Survey. We will’t do a lot with these responses. Once we eyeballed the info for the “favor to not say” group, we noticed considerably greater salaries than for girls, however nonetheless considerably much less (5% decrease) than for males.

The distinction between males’s and ladies’s salaries is smaller than we anticipated, given the outcomes of final 12 months’s Knowledge/AI Wage Survey. Nevertheless it’s nonetheless an actual distinction, and it begs the query: Is compensation bettering for girls? Expertise shortages are driving compensation up in lots of segments of the software program trade. Moreover, the typical reported salaries for each women and men in our survey are excessive. Once more, is {that a} consequence of the expertise scarcity? Or is it an artifact of our pattern, which seems to be considerably older, and wealthy in executives? We will’t inform from a single 12 months’s knowledge, and the year-over-year comparability we made above is predicated on a distinct trade section. However the proof means that the wage hole is closing, and progress is being made. And that’s certainly a very good factor.

Salaries for respondents who answered “different” to the query in regards to the pronouns they use are 31% decrease than salaries for respondents who selected “he.” Likewise, salaries for respondents who selected “they” are 28% decrease than males’s common salaries. Nonetheless, each of those teams are extraordinarily small, and in each teams, one or two people pulled the averages down. We may make the typical salaries greater by calling these people “outliers” and eradicating their knowledge; in spite of everything, outliers can have outsized results on small teams. That’s a step we received’t take. Regardless of the purpose, the outliers are there; they’re a part of the info. Professionals all throughout the spectrum have low-paying jobs—generally by selection, generally out of necessity. Why does there look like a focus of them amongst individuals who don’t use “he” or “she” as their pronouns? The impact in all probability isn’t fairly as sturdy as our knowledge signifies, however we received’t attempt to clarify our knowledge away. It’s actually indicative that the teams that use “they” or one other pronoun than “he” or “she” confirmed a wage penalty. We’ve got to conclude that respondents who use nonbinary pronouns earn decrease salaries, however with out extra knowledge, we don’t know why, nor do we all know how a lot decrease their salaries are or whether or not this distinction would disappear with a bigger pattern.

To see extra in regards to the variations between males’s and ladies’s salaries, we appeared on the women and men in every wage vary. The general shapes of the wage distributions are clear: a bigger proportion of girls earn salaries between $0 and $175,000, and (with two exceptions) a bigger proportion of males earn salaries over $175,000. Nonetheless, a barely bigger proportion of girls earn supersize salaries ($400,000 or extra), and a considerably bigger proportion earn salaries between $225,000 and $250,000 (Determine 2).

Determine 2. Males’s and ladies’s salaries by proportion of respondents

We will get some further data by wage will increase (Determine 3). On common, ladies’s wage will increase have been greater than males’s: $9,100 versus $8,100. That doesn’t seem like a giant distinction, nevertheless it’s over 10%. We will learn that as an indication that girls’s salaries are actually catching up. However the indicators are blended. Males’s salaries elevated greater than ladies’s in nearly each section, with two massive exceptions: 12% of girls obtained wage will increase over $30,000, whereas solely 8% of males did the identical. Likewise, 17% of girls obtained will increase between $10,000 and $15,000, however solely 9% of males did. These variations would possibly nicely disappear with extra knowledge.

Determine 3. Wage will increase for ladies and men by proportion of respondents

Once we take a look at wage will increase as a proportion of wage, we once more see blended outcomes (Determine 4). Ladies’s wage will increase have been a lot bigger than males’s in three bands: over $325,000 (aside from $375,000–$400,000, the place there have been no ladies respondents), $275,000–$300,000, and $150,000–$175,000. For these with very giant salaries, ladies’s wage will increase have been a lot greater than males’s. Moreover, the $150,000–$175,000 band had the biggest variety of ladies. Whereas there was numerous variability, wage will increase are clearly an necessary issue driving ladies’s salaries towards parity with males’s.

Determine 4. Wage will increase as a proportion of wage

The Impact of Schooling

The distinction between males’s and ladies’s salaries is important at nearly each academic stage (Determine 5). The distinction is especially excessive for respondents who’re self-taught, the place ladies earned 39% much less ($112,000 versus $184,000), and for college kids (45% much less, $87,000 versus $158,000). Nonetheless, these have been comparatively small teams, with solely two ladies in every group. It’s extra necessary that for respondents with bachelor’s levels, ladies’s salaries have been 4% greater than males’s ($184,000 versus $176,000)—and this was the biggest group in our survey. For respondents with superior levels, ladies with doctorates averaged a 15% decrease wage than males with equal schooling; ladies with grasp’s levels averaged 10% decrease. The distinction between ladies’s and males’s salaries seems to be biggest on the extremes of the tutorial spectrum.

Determine 5. Males’s and ladies’s salaries by diploma

Salaries by State

Contributors within the survey come from 43 states plus Washington, DC. Taking a look at salaries by state creates some fascinating puzzles. The best salaries are present in Oklahoma; South Dakota is third, following California. And the highest of the checklist is an fascinating mixture of states the place we anticipated excessive salaries (like New York) and states the place we anticipated salaries to be decrease. So what’s occurring?

The typical wage from Oklahoma is $225,000—however that solely displays two respondents, each of whom work remotely 100% of the time. (We’ll talk about distant work later on this report.) Do they work for a Silicon Valley firm and get a Silicon Valley wage? We don’t know, however that’s actually a risk. The typical wage for South Dakota is $212,000, however we shouldn’t name it an “common,” as a result of we solely had one response, and this respondent reported working remotely 1–4 days per week. Likewise, Vermont had a single respondent, who works remotely and who additionally had an above-average wage. Many different states have excessive common salaries however a really small variety of respondents.

So the primary conclusion that we are able to draw is that distant work is perhaps making it attainable for folks in states with out massive know-how industries to get excessive salaries. Or it could possibly be the other: there’s no state with out some companies utilizing the cloud, and the potential for distant work places employers in these states in direct competitors with Silicon Valley salaries: they should pay a lot greater salaries to get the experience they want. And people job presents might embody the chance to work remotely full or half time—even when the employer is native. Each of these potentialities little question maintain true for people, if not for geographical areas as an entire.

Outliers apart, salaries are highest in California ($214,000), New York ($212,000), Washington ($203,000), Virginia ($195,000), and Illinois ($191,000). Massachusetts comes subsequent at $189,000. At $183,000, common salaries in Texas are decrease than we’d anticipate, however they’re nonetheless barely above the nationwide common ($182,000). States with excessive common salaries tended to have the biggest numbers of respondents—with the necessary exceptions that we’ve already famous. The bottom salaries are present in West Virginia ($87,000) and New Mexico ($84,000), however these mirrored a small variety of respondents (one and 4, respectively). These two states apart, the typical wage in each state was over $120,000 (Determine 6).

So, is distant work equalizing salaries between completely different geographical areas? It’s nonetheless too early to say. We don’t assume there will likely be a mass exodus from high-salary states to extra rural states, nevertheless it’s clear that professionals who wish to make that transition can, and that corporations that aren’t in high-salary areas might want to supply salaries that compete within the nationwide market. Future surveys will inform us whether or not this sample holds true.

Determine 6. Common wage by state

Salaries by Age

The biggest group of respondents to our survey have been between 45 and 54 years previous (Determine 7). This group additionally had the best common wage ($196,000). Salaries for respondents between 55 and 65 years previous have been decrease (averaging $173,000), and salaries dropped much more for respondents over 65 ($139,000). Salaries for the 18- to 24-year-old age vary have been low, averaging $87,000. These decrease salaries are not any shock as a result of this group consists of each college students and people beginning their first jobs after school.

It’s value noting that our respondents have been older than we anticipated; 29% have been between 35 and 44 years previous, 36% have been between 45 and 54, and 22% have been between 55 and 64. Knowledge from our studying platform exhibits that this distribution isn’t indicative of the sector as an entire, or of our viewers. It might be an artifact of the survey itself. Are our e-newsletter readers older, or are older folks extra possible to answer surveys? We don’t know.

Determine 7. Common wage by age

The drop in salaries after age 55 is stunning. Does seniority rely for little? It’s simple to make hypotheses: Senior staff are much less prone to change jobs, and we’ve seen that altering jobs drives greater salaries. Nevertheless it’s additionally value noting that AWS launched in 2002, roughly 20 years in the past. People who find themselves now 45 to 54 years previous began their careers within the first years of Amazon’s rollout. They “grew up” with the cloud; they’re the actual cloud natives, and that seems to be value one thing in right this moment’s market.

Job Titles and Roles

Job titles are problematic. There’s no standardized naming system, so a programming lead at one firm is perhaps an architect or perhaps a CTO at one other. So we ask about job titles at a reasonably excessive stage of abstraction. We supplied respondents a selection of 4 “basic” roles: government, director, supervisor, or affiliate. We additionally allowed respondents to write down in their very own job titles; roughly half selected this selection. The write-in titles have been extra descriptive and, as anticipated, inconsistent. We have been capable of group them into some important clusters by searching for folks whose write-in title used the phrases “engineer,” “programmer,” “developer,” “architect,” “guide,” or “DevOps.” We additionally checked out two modifiers: “senior” and “lead.” There’s actually room for overlap: somebody could possibly be a “senior DevOps engineer.” However in apply, overlap was small. (For instance, no respondents used each “developer” and “architect” in a write-in job title.) There was no overlap between the titles submitted by respondents and the overall titles we supplied on the survey: our respondents had to decide on one or the opposite.

So what did we see? As proven in Determine 8, the best salaries go to those that categorized themselves as administrators ($235,000) or executives ($231,000). Salaries for architects, “leads,” and managers are on the following tier ($196,000, $190,000, and $188,000, respectively). Individuals who recognized as engineers earn barely decrease salaries ($175,000). Associates, a comparatively junior class, earn a mean of $140,000 per 12 months. Those that used “programmer” of their job title are a puzzle. There have been solely three of them, which is a shock in itself, and all have salaries within the $50,000 to $100,000 vary (common $86,000). Consultants additionally did considerably poorly, with a mean wage of $129,000.

Those that recognized as engineers (19%) made up the biggest group of respondents, adopted by associates (18%). Administrators and managers every comprised 15% of the respondents. That is perhaps a bias in our survey, because it’s tough to consider that 30% of cloud professionals have directorial or managerial roles. (That matches the statement that our survey outcomes might skew towards older individuals.) Architects have been much less widespread (7%). And comparatively few respondents recognized themselves with the phrases “DevOps” (2%), “guide” (2%), or “developer” (2%). The small quantity of people that establish with DevOps is one other puzzle. It’s typically been claimed that the cloud makes operations groups pointless; “NoOps” exhibits up in discussions occasionally. However we’ve by no means believed that. Cloud deployments nonetheless have a major operational part. Whereas the cloud might enable a smaller group to supervise an enormous variety of digital machines, managing these machines has turn into extra complicated—significantly with cloud orchestration instruments like Kubernetes.

Determine 8. Common wage by job title

We additionally tried to grasp what respondents are doing at work by asking about job roles, decoupling duties from titles (Determine 9). So in one other query, we requested respondents to decide on between advertising, gross sales, product, government, programmer, and architect roles, with no write-in choice. Executives earn the best salaries ($237,000) however have been a comparatively small group (14%). Architects are paid $188,000 per 12 months on common; they have been 33% of respondents. And for this query, respondents didn’t hesitate to establish as programmers: this group was the biggest (43%), with salaries considerably decrease than architects ($163,000). That is roughly in settlement with the info we received from job titles. (And we should always have requested about operations workers. Subsequent 12 months, maybe.)

The remaining three teams—advertising, gross sales, and product—are comparatively small. Solely 5 respondents recognized their position as advertising (0.6%), however they have been paid nicely ($187,000). 1.5% of the respondents recognized as gross sales, with a mean wage of $186,000. And eight% of the respondents recognized themselves with product, with a considerably decrease common wage of $162,000.

Determine 9. Common wage by position

Working from Residence

Once we have been planning this survey, we have been very interested in the place folks labored. Many corporations have moved to a completely distant work mannequin (as O’Reilly has), and lots of extra are taking a hybrid method. However simply how widespread is distant work? And what penalties does it have for the staff who work at home quite than in an workplace?

It seems that distant work is surprisingly widespread (Determine 10). We discovered that solely 6% of respondents answered no to the query “Do you’re employed remotely?” Greater than half (63%) mentioned that they work remotely on a regular basis, and the rest (31%) work remotely 1–4 days per week.

Working remotely can be related to greater salaries: the typical wage for individuals who work remotely 1–4 days per week is $188,000. It’s solely barely much less ($184,000) for individuals who work remotely on a regular basis. Salaries are sharply decrease for individuals who by no means work remotely (common $131,000).

Determine 10. Salaries and distant work

Wage will increase present roughly the identical sample (Determine 11). Whereas salaries are barely greater for respondents who sometimes work within the workplace, wage will increase have been greater for individuals who are utterly distant: the typical enhance was $8,400 for individuals who are distant 100% of the time, whereas those that work at home 1–4 days per week solely averaged a $7,800 wage enhance. We suspect that given time, these two teams would stability out. Wage adjustments for individuals who by no means work remotely have been sharply decrease ($4,500).

Of all jobs within the computing trade, cloud computing might be probably the most amenable to distant work. In spite of everything, you’re working with methods which might be distant by definition. You’re not reliant by yourself firm’s knowledge middle. If the appliance crashes in the course of the evening, no one will likely be dashing to the machine room to reboot the server. A laptop computer and a community connection are all you want.

Determine 11. Wage will increase and distant work

We’re puzzled by the comparatively low salaries and wage will increase for individuals who by no means work remotely. Whereas there have been minor variations, as you’d anticipate, there have been no “smoking weapons”: no substantial variations in schooling or job titles or roles. Does this distinction mirror old-school corporations that don’t belief their workers to be productive at dwelling? And do they pay correspondingly decrease salaries? If that’s the case, they’d higher be forewarned: it’s very simple for workers to alter jobs within the present labor market.

Because the pandemic wanes (if certainly it wanes—regardless of what folks assume, that’s not what the info exhibits), will corporations keep on with distant work or will they require staff to return again to the workplace? Some corporations have already requested their staff to return. However we consider that the pattern towards distant work will likely be arduous, if not unattainable, to reverse, particularly in a job market the place employers are competing for expertise. Distant work actually raises points about onboarding new hires, coaching, group dynamics, and extra. And it’s not with out issues for the staff themselves: childcare, creating acceptable work areas, and many others. These challenges however, it’s tough to think about individuals who have eradicated a prolonged commute from their lives going again to the workplace on a everlasting foundation.

Certifications and Coaching

Almost half (48%) of our respondents participated in technical coaching or certification packages within the final 12 months. 18% of them obtained a number of certifications, suggesting that 30% participated in coaching or another type of skilled growth that wasn’t tied to a certification program.

The most typical causes for taking part in coaching have been studying new applied sciences (42%) and bettering current abilities (40%). (Percentages are relative to the entire variety of respondents, which was 778.) 21% wished to work on extra fascinating tasks. The opposite attainable responses have been chosen much less continuously: 9% of respondents wished to maneuver right into a management position, and 12% have been required to take coaching. Job safety was a problem for 4% of the respondents, a really small minority. That’s according to our statement that staff have the higher hand within the labor market and are extra involved with development than with defending their established order.

Survey individuals obtained a really broad vary of certifications. We requested particularly about 11 cloud certifications that we recognized as being significantly necessary. Most have been particular to one of many three main cloud distributors: Microsoft Azure, Amazon Net Providers, and Google Cloud. Nonetheless, the quantity of people that obtained any particular certification was comparatively small. The preferred certifications have been AWS Licensed Cloud Practitioner and Options Architect (each 4% of the entire variety of respondents). Nonetheless, 8% of respondents answered “different” and offered a write-in reply. That’s 60 respondents—and we received 55 completely different write-ins. Clearly, there was little or no duplication. The one submissions with a number of responses have been CKA (Licensed Kubernetes Administrator) and CKAD (Licensed Kubernetes Software Developer). The vary of coaching on this “different” group was extraordinarily broad, spanning varied types of Agile coaching, safety, machine studying, and past. Respondents have been pursuing many vendor-specific certifications, and even educational levels. (It’s value noting that our 2021 Knowledge/AI Wage Surveyreport additionally concluded that incomes a certification for one of many main cloud suppliers was a great tool for profession development.)

Given the variety of certifications which might be obtainable, this isn’t stunning. It’s considerably extra stunning that there isn’t any consensus on which certifications are most necessary. Once we take a look at salaries, although, we see some indicators…no less than among the many main certifications. The biggest salaries are related to Google Cloud Licensed Skilled Cloud Architect ($231,000). Individuals who earned this certification additionally obtained a considerable wage enhance (7.1%). Those that obtained an AWS Licensed Options Architect – Skilled, AWS Licensed Options Architect – Affiliate, or Microsoft Licensed: Azure Options Architect Skilled certification additionally earn very excessive salaries ($212,000, $201,000, and $202,000, respectively), though these three obtained smaller wage will increase (4.6%, 4.4%, and 4.0%, respectively). Those that earned the CompTIA Cloud+ certification obtain the bottom wage ($132,000) and received a comparatively small wage enhance (3.5%). The best wage enhance went to those that obtained the Google Cloud Licensed Skilled Cloud DevOps Engineer certification (9.7%), with salaries in the course of the vary ($175,000).

We will’t draw any conclusions in regards to the salaries or wage will increase equivalent to the numerous certifications listed among the many “different” responses; most of these certifications solely appeared as soon as. Nevertheless it appears clear that the biggest salaries and wage will increase go to those that are licensed for one of many massive three platforms: Google Cloud, AWS, and Microsoft Azure (Figures 12 and 13).

The salaries and wage will increase for the 2 Google certifications are significantly spectacular. Provided that Google Cloud is the least extensively used of the foremost platforms, and that the variety of respondents for these certifications was comparatively small, we suspect that expertise proficient with Google’s instruments and providers is tougher to search out and drives the salaries up.

Determine 12. Common wage by certification
Determine 13. Common wage enhance by certification

Our survey respondents engaged in lots of various kinds of coaching. The preferred have been watching movies and webinars (41%), studying books (39%), and studying blogs and trade articles (34%). 30% of the respondents took courses on-line. Given the pandemic, it isn’t in any respect stunning that just one.7% took courses in individual. 23% attended conferences, both on-line or in individual. (We suspect that almost all attended on-line.) And 24% participated in company-offered coaching.

There’s surprisingly little distinction between the typical salaries related to every kind of studying. That’s partly as a result of respondents have been allowed to decide on multiple response. Nevertheless it’s additionally notable that the typical salaries for many sorts of studying are decrease than the typical wage for the respondents as an entire. The typical wage by kind of studying ranges from $167,000 (in-person courses) to $184,000 (company-provided academic packages). These salaries are on the low aspect in comparison with the general common of $182,000. Decrease salaries might point out that coaching is most tasty to individuals who wish to get forward of their area. This suits the statement that the general public who participated in coaching did so to acquire new abilities or to enhance present ones. In spite of everything, to many corporations “the cloud” continues to be comparatively new, and they should retrain their present workforces.

Once we take a look at the time that respondents spent in coaching (Determine 14), we see that the biggest group spent 20–39 hours up to now 12 months (13% of all of the respondents). 12% spent 40–59 hours; and 10% spent over 100 hours. No respondents reported spending 10–19 hours in coaching. (There have been additionally comparatively few within the 80–99 hour group, however we suspect that’s an artifact of “bucketing”: in the event you’ve taken 83 hours of coaching, you’re prone to assume, “I don’t know the way a lot time I spent in coaching, nevertheless it was quite a bit,” and select 100+.) The biggest wage will increase went to those that spent 40–59 hours in coaching, adopted by those that spent over 100 hours; the smallest wage will increase, and the bottom salaries, went to those that solely spent 1–9 hours in coaching. Managers take coaching under consideration when planning compensation, and people who skimp on coaching shortchange themselves.

Determine 14. Proportion wage enhance by time spent in coaching

The Cloud Suppliers

A survey of this kind wouldn’t be full with out speaking in regards to the main cloud suppliers. There’s no actually massive information right here (Determine 15). Amazon Net Providers has probably the most customers, at 72%, adopted by Microsoft Azure (42%) and Google Cloud (31%). In comparison with the cloud survey we did final 12 months, it appears to be like like Google Cloud and Azure have dropped barely in comparison with AWS. However the adjustments aren’t giant. Oracle’s cloud providing was surprisingly sturdy at 6%, and 4% of the respondents use IBM Cloud.

Once we take a look at the largest cloud suppliers that aren’t primarily based within the US, we discover that they’re nonetheless a comparatively small part of cloud utilization: 0.6% of respondents use Alibaba, whereas 0.3% use Tencent. As a result of there are so few customers amongst our respondents, the chances don’t imply a lot: a number of extra customers, and we’d see one thing utterly completely different. That mentioned, we anticipated to see extra customers working with Alibaba; it’s attainable that tensions between america and China have made it a much less engaging choice.

20% of the respondents reported utilizing a personal cloud. Whereas it’s not totally clear what the time period “non-public cloud” means—for some, it simply means a standard knowledge middle—nearly all of the non-public cloud customers additionally reported utilizing one of many main cloud suppliers. This isn’t stunning; non-public clouds take advantage of sense as a part of a hybrid or multicloud technique, the place the non-public cloud holds knowledge that should be saved on premises for safety or compliance causes.

6% of the respondents reported utilizing a cloud supplier that we didn’t checklist. These solutions have been nearly totally from minor cloud suppliers, which had just one or two customers among the many survey individuals. And surprisingly, 4% of the respondents reported that they weren’t utilizing any cloud supplier.

Determine 15. Cloud supplier utilization by proportion of respondents

There’s little distinction between the salaries reported by folks utilizing the foremost suppliers (Determine 16). Tencent stands out; the typical wage for its customers is $275,000. However there have been so few Tencent customers among the many survey respondents that we don’t consider this common is significant. There seems to be a slight wage premium for customers of Oracle ($206,000) and Google ($199,000); since these cloud suppliers aren’t as extensively used, it’s simple to imagine that organizations dedicated to them are prepared to pay barely extra for specialised expertise, a phenomenon we’ve noticed elsewhere. Virtually as a footnote, we see that the respondents who don’t use a cloud have considerably decrease salaries ($142,000).

Determine 16. Common wage by cloud supplier

Cloud suppliers supply many providers, however their fundamental providers fall into a number of well-defined courses (Determine 17). 75% of the survey respondents reported utilizing digital situations (for instance, AWS EC2), and 74% use bucket storage (for instance, AWS S3). These are providers which might be supplied by each cloud supplier. Most respondents use an SQL database (59%). Considerably smaller numbers reported utilizing a NoSQL database (41%), typically along side an SQL database. 49% use container orchestration providers; 45% use “serverless,” which means that serverless is extra widespread than we’ve seen in our different current surveys.

Solely 11% reported utilizing some type of AutoML—once more, a service that’s offered by all the foremost cloud suppliers, although beneath differing names. And once more, we noticed no important variations in wage primarily based on what providers have been in use. That makes good sense; you wouldn’t pay a carpenter extra for utilizing a hammer than for utilizing a noticed.

Determine 17. Primary cloud providers utilization by proportion of respondents

The Work Atmosphere

Salaries apart, what are cloud builders working with? What programming languages and instruments are they utilizing?


Python is probably the most extensively used language (59% of respondents), adopted by SQL (49%), JavaScript (45%), and Java (32%). It’s considerably stunning that solely a 3rd of the respondents use Java, provided that programming language surveys accomplished by TIOBE and RedMonk nearly all the time have Java, Python, and JavaScript in a close to tie for first place. Java seems to not have tailored nicely to the cloud (Determine 18).

Salaries additionally observe a sample that we’ve seen earlier than. Though the highest 4 languages are in excessive demand, they don’t command significantly excessive salaries: $187,000 for Python, $179,000 for SQL, $181,000 for JavaScript, and $188,000 for Java (Determine 19). These are all “desk stakes” languages: they’re obligatory they usually’re what most programmers use on the job, however the programmers who use them don’t stand out. And regardless of the need, there’s numerous expertise obtainable to fill these roles. As we noticed in final 12 months’s Knowledge/AI Wage Survey report, experience in Scala, Rust, or Go instructions a better wage ($211,000, $202,000, and $210,000, respectively). Whereas the demand for these languages isn’t as excessive, there’s quite a bit much less obtainable experience. Moreover, fluency in any of those languages exhibits {that a} programmer has gone significantly past fundamental competence. They’ve accomplished the work obligatory to choose up further abilities.

Determine 18. Programming language utilization by proportion of respondents

The bottom salaries have been reported by respondents utilizing PHP ($155,000). Salaries for C, C++, and C# are additionally surprisingly low ($170,000, $172,000, and $170,000, respectively); given the significance of C and C++ for software program growth typically and the significance of C# for the Microsoft world, we discover it arduous to grasp why.

Virtually the entire respondents use a number of languages. If we needed to make a suggestion for somebody who wished to maneuver into cloud growth or operations, or for somebody planning a cloud technique from scratch, it could be easy: deal with SQL plus one of many different desk stakes languages (Java, JavaScript, or Python). If you wish to go additional, choose one of many languages related to the best salaries. We expect Scala is previous its peak, however due to its sturdy connection to the Java ecosystem, Scala is smart for Java programmers. For Pythonistas, we’d advocate selecting Go or Rust.

Determine 19. Common wage by programming language

Working Techniques

We requested our survey individuals which working methods they used so we may take a look at one thing we’ve heard from a number of individuals who rent software program builders: Linux is a should. That seems to be the case: 80% of respondents use Linux (Determine 20). Although Linux actually hasn’t succeeded within the desktop market (sorry), it’s clearly the working system for many software program that runs within the cloud. If Linux isn’t a requirement, it’s awfully shut.

67% of the respondents reported utilizing macOS, however we suspect that’s largely as a desktop or laptop computer working system. Of the foremost suppliers, solely AWS presents macOS digital situations, they usually’re not extensively used. (Apple’s license solely permits macOS to run on Apple {hardware}, and solely AWS offers Apple servers.) 57% of the respondents reported utilizing some model of Home windows. Whereas we suspect that Home windows can be used primarily as a desktop or laptop computer working system, Home windows digital situations can be found from all the foremost suppliers, together with Oracle and IBM.

Determine 20. Working system utilization by proportion of respondents


We noticed little variation in wage from software to software. This lack of variation is smart. As we mentioned above, we don’t anticipate a carpenter who makes use of a hammer to be paid greater than a carpenter who makes use of a noticed. To be a reliable carpenter, it’s worthwhile to use each, together with ranges, squares, and a number of different instruments.

Nonetheless, it’s fascinating to know what instruments are generally in use (Determine 21). There aren’t any actual surprises. Docker is sort of common, utilized by 76% of the respondents. Kubernetes use may be very widespread, by 61% of the respondents. Different parts of the Kubernetes ecosystem didn’t fare as nicely: 27% of respondents reported utilizing Helm, and 12% reported utilizing Istio, which has been extensively criticized for being too complicated.

Alternate options to this core cluster of instruments don’t seem to have a lot traction. 10% of the respondents reported utilizing OpenShift, the IBM/Pink Hat bundle that features Kubernetes and different core parts. Our respondents appear to favor constructing their tooling atmosphere themselves. Podman, an alternative choice to Docker and a part of OpenShift, is barely utilized by 8% of the respondents. Sadly, we didn’t ask about Linkerd, which seems to be establishing itself as a service mesh that’s less complicated to configure than Istio. Nonetheless, it didn’t present up among the many write-in responses, and the variety of respondents who mentioned “different” was comparatively small (9%).

The HashiCorp software set (Terraform, Consul, and Vault) seems to be extra extensively used: 41% of the respondents reported utilizing Terraform, 17% use Vault, and eight% use Consul. Nonetheless, don’t view these as options to Kubernetes. Terraform is a software for constructing and configuring cloud infrastructure, and Vault is a safe repository for secrets and techniques. Solely Consul competes instantly.

Determine 21. Instrument utilization by proportion of respondents

The Greatest Influence

Lastly, we requested the respondents what would have the largest influence on compensation and promotion. The least widespread reply was “knowledge instruments” (6%). This section of our viewers clearly isn’t working instantly with knowledge science or AI—although we’d argue which may change as extra machine studying purposes attain manufacturing. “Programming languages” was second from the underside. The dearth of concern about programming languages displays actuality. Whereas we noticed greater salaries for respondents who used Scala, Rust, or Go, in the event you’re solidly grounded within the fundamentals (like Python and SQL), you’re in good condition. There’s restricted worth in pursuing further languages after getting the desk stakes.

The biggest variety of respondents mentioned that information of “cloud and containers” would have the biggest impact on compensation. Once more, containers are desk stakes, as we noticed within the earlier part. Automation, safety, and machine studying have been additionally extremely rated (18%, 15%, and 16%, respectively). It’s not clear why machine studying was ranked extremely however knowledge instruments wasn’t. Maybe our respondents interpreted “knowledge instruments” as software program like Excel, R, and pandas.

11% of the respondents wrote in a solution. As regular with write-ins, the submissions have been scattered, and largely singletons. Nonetheless, lots of the write-in solutions pointed towards management and administration abilities. Taken all collectively, these assorted responses add as much as about 2% of the entire respondents. Not a big quantity, however nonetheless a sign that some a part of our viewers is considering significantly about IT management.

Confidence within the Future

“Cloud adoption is up and to the correct”? No, we already instructed you we weren’t going to conclude that. Although it’s little question true; we don’t see cloud adoption slowing within the close to future.

Salaries are excessive. That’s good for workers and tough for employers. It’s widespread for employees to leap to a different employer providing a better wage and a beneficiant signing bonus. The present inventory market correction might put a damper on that pattern. There are indicators that Silicon Valley’s cash provide is beginning to dry up, partially due to greater rates of interest but in addition as a result of buyers are nervous about how the net financial system will reply to regulation, and impatient with startups whose marketing strategy is to lose billions “shopping for” a market earlier than they work out methods to make cash. Greater rates of interest and nervous buyers may imply an finish to skyrocketing salaries.

The hole between ladies’s and males’s salaries has narrowed, nevertheless it hasn’t closed. Whereas we don’t have a direct comparability for the earlier 12 months, final 12 months’s Knowledge/AI Wage Surveyreport confirmed a 16% hole. On this survey, the hole has been lower to 7%, and ladies are receiving wage will increase which might be prone to shut that hole even additional. It’s anybody’s guess how it will play out sooner or later. Expertise is briefly provide, and that places upward stress on salaries. Subsequent 12 months, will we see ladies’s salaries on par with males’s? Or will the hole widen once more when the expertise scarcity isn’t so acute?

Whereas we aren’t shocked by the pattern towards distant work, we’re shocked at how widespread distant work has turn into: as we noticed, solely 10% of our survey respondents by no means work remotely, and nearly two-thirds work remotely full time. Distant work could also be simpler for cloud professionals, as a result of a part of their job is inherently distant. Nonetheless, after seeing these outcomes, we’d predict related numbers for different trade sectors. Distant work is right here to remain.

Virtually half of our survey respondents participated in some type of coaching up to now 12 months. Coaching on the foremost cloud platforms (AWS, Azure, and Google Cloud) was related to greater salaries. Nonetheless, our individuals additionally wrote in 55 “different” varieties of coaching and certifications, of which the preferred was CKA (Licensed Kubernetes Administrator).

Let’s finish by considering a bit extra about the most typical reply to the query “What space do you’re feeling could have the largest influence on compensation and promotion within the subsequent 12 months?”: cloud and containers. Our first response is that this can be a poorly phrased choice; we should always have simply requested about containers. Maybe that’s true, however there’s one thing deeper hidden on this reply. If you wish to get forward in cloud computing, study extra in regards to the cloud. It’s tautological, nevertheless it additionally exhibits some actual confidence in the place the trade is heading. Cloud professionals could also be searching for their subsequent employer, however they aren’t trying to soar ship to the “subsequent massive factor.” Companies aren’t leaping away from the cloud to “the following massive factor” both; whether or not it’s AI, the “metaverse,” or one thing else, their subsequent massive factor will likely be constructed within the cloud. And containers are the constructing blocks of the cloud; they’re the inspiration on which the way forward for cloud computing rests. Salaries are actually “up and to the correct,” and we don’t see demand for cloud-capable expertise dropping any time within the close to future.




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