Testing Blog
COOL to be a TE @ Google
Friday, May 08, 2020
By Anantha Keesara
Test Engineers are a part of Google’s Engineering Productivity (EngProd) Group. As mentioned in a
previous post
, we advocate for our users, provide comprehensive testing solutions, and play a key role creating successful and reliable products and platforms. At Google, Test Engineers are not manual testers; we are technical engineers whose focus is on advancing product excellence and engineering productivity.
In short, it’s
COOL
(
C
onstant learner,
O
ut-of-the-box thinker,
O
rchestrator,
L
eading-edge user) to be a Test Engineer at Google:
C
onstant learning is what keeps Google Test Engineers motivated. We understand holistically how all the pieces of the software stack are interconnected and what kind of coverage exists or is needed to test the connections between the stacks.This product knowledge makes us test experts. We work closely with Software Engineers from the very beginning of the development process to discuss the testability of the designs before the features are implemented. We develop test strategies, methodologies, and test plans; we write scripts, design systems, and build tools and test infrastructure. We review design docs, do deep dives into Google's massive codebase, evaluate stack traces, and determine the root causes of production outages. Through this constant learning, we not only build deep technical expertise and do risk management by identifying weak spots in the code base, we also find creative ways to break software and identify potential problems. Our job ladder also gives us the flexibility and independence to explore and learn new technologies like ML concepts and Cloud computing and to build new testing solutions or improve existing ones.
O
ut-of-the-box thinking, a result of constant learning, is another thing that keeps us motivated. As Google Test Engineers, we champion Engineering excellence by providing optimized solutions to address engineering inefficiencies, testing gaps, and process gaps. We constantly think of ways to make machines do the work to increase testability and productivity. Hundreds and thousands of lines of code get checked-in every minute at Google. To maintain velocity, quality, and code health, we devise creative ways to test and debug the test failures -- like performing diff testing, building dynamic test cases from the logs, designing heuristic algorithms to identify culprits for test failures, building solutions to reduce the test run time, and implementing stubs, fakes, and mock objects and servers to help developers write stable unit and integration testing. Along with devising creative ways to test and debug the test failures, we also focus on improving engineering excellence and product excellence by defining and measuring productivity metrics and product health metrics like quality, stability, and performance. The testing of, for example, Search, Ads, Maps, YouTube, Cloud, self-driving cars, and Google Apps would not have scaled with traditional testing practices.
O
rchestrating the testing efforts is a key responsibility of Google Test Engineers. As orchestrators we can collaborate with cross functional teams including Product Managers, Technical Program Managers, and Software engineers to define critical user journeys (CUJs), determine testing strategies, and ensure that the right tests are run on the right configurations/environments. With our strong communication and collaboration skills, we work with the cross-functional teams and play the role of evangelists in spreading the word on new tools, technologies, and best testing practices. We also have the opportunity to host Hackathons and Fixits, host interns, drive college recruiting events, engage with the open source community in testing the open source products, listen to feedback, and convert that feedback into product improvements.
L
eading-edge user: the fun part of being a Test Engineer! We can engage with product development, participate in the review of product designs, documentation, and prototypes, play with features and products early on, and provide informed feedback. Best of all, as early adopters we get to wear wearables, ride in self driving cars, be in our own world with AR/VR, engage with Google Assistant to get our chores done, and have multiple laptops, phones, and smart display units!
Stay tuned to learn more
COOL
things about Test Engineering at Google!
6 comments
What Test Engineers do at Google: Building Test Infrastructure
Friday, November 18, 2016
Author: Jochen Wuttke
In a recent post, we broadly talked about
What Test Engineers do at Google
. In this post, I talk about one aspect of the work TEs may do: building and improving test infrastructure to make engineers more productive.
Refurbishing legacy systems makes new tools necessary
A few years ago, I joined an engineering team that was working on replacing a legacy system with a new implementation. Because building the replacement would take several years, we had to keep the legacy system operational and even add features, while building the replacement so there would be no impact on our external users.
The legacy system was so complex and brittle that the engineers spent most of their time triaging and fixing bugs and
flaky tests
, but had little time to implement new features. The goal for the rewrite was to learn from the legacy system and to build something that was easier to maintain and extend. As the team's TE, my job was to understand what caused the high maintenance cost and how to improve on it. I found two main causes:
Tight coupling and insufficient abstraction made unit testing very hard, and as a consequence, a lot of end-to-end tests served as functional tests of that code.
The infrastructure used for the end-to-end tests had no good way to create and inject fakes or mocks for these services. As a result, the tests had to run the large number of servers for all these external dependencies. This led to very large and brittle tests that our
existing test execution infrastructure
was not able to handle reliably.
Exploring solutions
At first, I explored if I could split the large tests into smaller ones that would test specific functionality and depend on fewer external services. This proved impossible, because of the poorly structured legacy code. Making this approach work would have required refactoring the entire system and its dependencies, not just the parts my team owned.
In my second approach, I also focussed on large tests and tried to mock services that were not required for the functionality under test. This also proved very difficult, because dependencies changed often and individual dependencies were hard to trace in a graph of over 200 services. Ultimately, this approach just shifted the required effort from maintaining test code to maintaining test dependencies and mocks.
My third and final approach, illustrated in the figure below, made small tests more powerful. In the typical end-to-end test we faced, the client made
RPC
calls
to several services, which in turn made RPC calls to other services. Together the client and the transitive closure over all backend services formed a large
graph
(not
tree
!) of dependencies, which all had to be up and running for the end-to-end test. The new model changes how we test client and service integration. Instead of running the client on inputs that will somehow trigger RPC calls, we write unit tests for the code making
method calls
to the RPC stub. The stub itself is mocked with a common mocking framework like Mockito in Java. For each such test, a second test verifies that the data used to drive that mock "makes sense" to the actual service. This is also done with a unit test, where a replay client uses the same data the RPC mock uses to call the RPC handler method of the service.
This pattern of integration testing applies to any RPC call, so the RPC calls made by a backend server to another backend can be tested just as well as front-end client calls. When we apply this approach consistently, we benefit from smaller tests that still test correct integration behavior, and make sure that the behavior we are testing is "real".
To arrive at this solution, I had to build, evaluate, and discard several prototypes. While it took a day to build a proof-of-concept for this approach, it took me and another engineer a year to implement a finished tool developers could use.
Adoption
The engineers embraced the new solution very quickly when they saw that the new framework removes large amounts of boilerplate code from their tests. To further drive its adoption, I organized multi-day events with the engineering team where we focussed on migrating test cases. It took a few months to migrate all existing unit tests to the new framework, close gaps in coverage, and create the new tests that validate the mocks. Once we converted about 80% of the tests, we started comparing the efficacy of the new tests and the existing end-to-end tests.
The results are very good:
The new tests are as effective in finding bugs as the end-to-end tests are.
The new tests run in about 3 minutes instead of 30 minutes for the end-to-end tests.
The client side tests are 0% flaky. The verification tests are usually less flaky than the end-to-end tests, and never more.
Additionally, the new tests are unit tests, so you can run them in your IDE and step through them to debug. These results allowed us to run the end-to-end tests very rarely, only to detect misconfigurations of the interacting services, but not as functional tests.
Building and improving test infrastructure to help engineers be more productive is one of the many things test engineers do at Google. Running this project from requirements gathering all the way to a finished product gave me the opportunity to design and implement several prototypes, drive the full implementation of one solution, lead engineering teams to adoption of the new framework, and integrate feedback from engineers and actual measurements into the continuous refinement of the tool.
12 comments
What Test Engineers do at Google
Monday, September 12, 2016
by Matt Lowrie, Manjusha Parvathaneni, Benjamin Pick, and Jochen Wuttke
Test engineers (TEs) at Google are a dedicated group of engineers who use proven testing practices to foster excellence in our products. We orchestrate the rapid testing and releasing of products and features our users rely on. Achieving this velocity requires creative and diverse engineering skills that allow us to advocate for our users. By building testable user journeys into the process, we ensure reliable products. TEs are also the glue that bring together feature stakeholders (product managers, development teams, UX designers, release engineers, beta testers, end users, etc.) to confirm successful product launches. Essentially, every day we ask ourselves, “How can we make our software development process more efficient to deliver products that make our users happy?”.
The TE role grew out of the desire to make Google’s early free products, like Search, Gmail and Docs, better than similar paid products on the market at the time. Early on in Google’s history, a small group of engineers believed that the company’s “launch and iterate” approach to software deployment could be improved with continuous automated testing. They took it upon themselves to promote good testing practices to every team throughout the company, via some programs you may have heard about:
Testing on the Toilet
, the
Test Certified Program
, and the
Google Test Automation Conference (GTAC)
. These efforts resulted in every project taking ownership of all aspects of testing, such as
code coverage
and
performance testing
. Testing practices quickly became commonplace throughout the company and engineers writing tests for their own code became the standard. Today, TEs carry on this tradition of setting the standard of quality which all products should achieve.
Historically, Google has sustained two separate job titles related to product testing and test infrastructure, which has caused confusion. We often get asked what the difference is between the two. The rebranding of the Software engineer, tools and infrastructure (SETI) role, which now concentrates on engineering productivity, has been addressed in a
previous blog post
. What this means for test engineers at Google, is an enhanced responsibility of being the authority on product excellence. We are expected to uphold testing standards company-wide, both programmatically and persuasively.
Test engineer is a unique role at Google. As TEs, we define and organize our own engineering projects, bridging gaps between engineering output and end-user satisfaction. To give you an idea of what TEs do, here are some examples of challenges we need to solve on any particular day:
Automate a manual verification process for product release candidates so developers have more time to respond to potential release-blocking issues.
Design and implement an automated way to track and surface Android battery usage to developers, so that they know immediately when a new feature will cause users drained batteries.
Quantify if a regenerated data set used by a product, which contains a billion entities, is better quality than the data set currently live in production.
Write an automated test suite that validates if content presented to a user is of an acceptable quality level based on their interests.
Read an engineering design proposal for a new feature and provide suggestions about how and where to build in testability.
Investigate correlated stack traces submitted by users through our feedback tracking system, and search the code base to find the correct owner for escalation.
Collaborate on determining the root cause of a production outage, then pinpoint tests that need to be added to prevent similar outages in the future.
Organize a task force to advise teams across the company about best practices when testing for accessibility.
Over the next few weeks leading up to
GTAC
, we will also post vignettes of actual TEs working on different projects at Google, to showcase the diversity of the Google Test Engineer role. Stay tuned!
7 comments
From QA to Engineering Productivity
Tuesday, March 22, 2016
By Ari Shamash
In Google’s early days, a small handful of software engineers built, tested, and released software. But as the user-base grew and products proliferated, engineers started specializing in roles, creating more scale in the development process:
Test Engineers (TEs) -- tested new products and systems integration
Release Engineers (REs) -- pushed bits into production
Site Reliability Engineers (SREs) -- managed systems and data centers 24x7.
This story focuses on the evolution of quality assurance and the roles of the engineers behind it at Google. The REs and SREs also evolved, but we’ll leave that for another day.
Initially, teams relied heavily on manual operations. When we attempted to automate testing, we largely focused on the frontends, which worked, because Google was small and our products had fewer integrations. However, as Google grew, longer and longer manual test cycles bogged down iterations and delayed feature launches. Also, since we identified bugs later in the development cycle, it took us
longer and longer
to
fix them
. We determined that pushing testing upstream via
automation
would help address these issues and accelerate velocity.
As manual testing transitioned to automated processes, two separate testing roles began to emerge at Google:
Test Engineers (TEs) -- With their deep product knowledge and test/quality domain expertise, TEs focused on what should be tested.
Software Engineers in Test (SETs) -- Originally software engineers with deep infrastructure and tooling expertise, SETs built the frameworks and packages required to implement automation.
The impact was significant:
Automated tests became more efficient and deterministic (e.g. by improving runtimes, eliminating sources of flakiness, etc.)
Metrics driven engineering proliferated (e.g. improving code and feature coverage led to higher quality products).
Manual operations were reduced to manual verification on new features, and typically only in end-to-end, cross product integration boundaries. TEs developed extreme depth of knowledge for the products they supported. They became go-to engineers for product teams that needed expertise in test automation and integration. Their role evolved into a broad spectrum of responsibilities: writing scripts to automate testing, creating tools so developers could test their own code, and constantly designing better and more creative ways to identify weak spots and break software.
SETs (in collaboration with TEs and other engineers) built a wide array of test automation tools and developed best practices that were applicable across many products. Release velocity accelerated for products. All was good, and
there was much rejoicing
!
SETs initially focused on building tools for reducing the testing cycle time, since that was the most manually intensive and time consuming phase of getting product code into production. We made some of these tools available to the software development community:
webdriver
improvements
,
protractor
,
espresso
,
EarlGrey
,
martian proxy
,
karma
, and
GoogleTest
. SETs were interested in sharing and collaborating with others in the industry and established
conferences
. The industry has also embraced the Test Engineering discipline, as other companies hired
software engineers
into similar roles,
published articles
, and drove
Test-Driven Development
into mainstream practices.
Through these efforts, the testing cycle time decreased dramatically, but interestingly the overall velocity did not increase proportionately, since
other phases in the development cycle became the bottleneck
. SETs started building tools to accelerate all other aspects of product development, including:
Extending IDEs to make writing and reviewing code easier, shortening the “write code” cycle
Automating release verification, shortening the “release code” cycle.
Automating real time production system log verification and anomaly detection
, helping automate production monitoring.
Automating measurement of developer productivity, helping understand what’s working and what isn’t.
In summary, the work done by the SETs naturally progressed from supporting only product testing efforts to include supporting product development efforts as well. Their role now encompassed a much broader Engineering Productivity agenda.
Given the expanded SET charter, we wanted the title of the role to reflect the work. But what should the new title be?
We empowered the SETs to choose a new title
, and they overwhelmingly (91%) selected Software Engineer, Tools & Infrastructure (abbreviated to SETI).
Today, SETIs and TEs still collaborate very closely on optimizing the entire development life cycle with a goal of eliminating all friction from getting features into production. Interested in building next generation tools and infrastructure? Join us (
SETI
,
TE
)!
33 comments
The Google Test and Development Environment - Pt. 3: Code, Build, and Test
Tuesday, January 21, 2014
by
Anthony Vallone
This is the third in a series of articles about our work environment. See the
first
and
second
.
I will never forget the awe I felt when running my first load test on my first project at Google. At previous companies I’ve worked, running a substantial load test took quite a bit of resource planning and preparation. At Google, I wrote less than 100 lines of code and was simulating tens of thousands of users after just minutes of prep work. The ease with which I was able to accomplish this is due to the impressive coding, building, and testing tools available at Google. In this article, I will discuss these tools and how they affect our test and development process.
Coding and building
The tools and process for coding and building make it very easy to change production and test code. Even though we are a large company, we have managed to remain nimble. In a matter of minutes or hours, you can edit, test, review, and submit code to head. We have achieved this without sacrificing code quality by heavily investing in tools, testing, and infrastructure, and by prioritizing code reviews.
Most production and test code is in a single, company-wide source control repository (open source projects like Chromium and Android have their own). There is a great deal of code sharing in the codebase, and this provides an incredible suite of code to build on. Most code is also in a single branch, so the majority of development is done at head. All code is also navigable, searchable, and editable from the browser. You’ll find code in numerous languages, but Java, C++, Python, Go, and JavaScript are the most common.
Have a strong preference for editor? Engineers are free to choose from many IDEs and editors. The most common are Eclipse, Emacs, Vim, and IntelliJ, but many others are used as well. Engineers that are passionate about their prefered editors have built up and shared some truly impressive editor plugins/tooling over the years.
Code reviews for all submissions are enforced via source control tooling. This also applies to test code, as our test code is held to the same standards as production code. The reviews are done via web-based code review tools that even include automatically generated test results. The process is very streamlined and efficient. Engineers can change and submit code in any part of the repository, but it must get reviewed by owners of the code being changed. This is great, because you can easily change code that your team depends on, rather than merely request a change to code you do not own.
The
Google build system
is used for building most code, and it is designed to work across many languages and platforms. It is remarkably simple to define and build targets. You won’t be needing that old Makefile book.
Running jobs and tests
We have some pretty amazing machine and job management tools at Google. There is a generally available pool of machines in many data centers around the globe. The job management service makes it very easy to start jobs on arbitrary machines in any of these data centers. Failing machines are automatically removed from the pool, so tests rarely fail due to machine issues. With a little effort, you can also set up monitoring and pager alerting for your important jobs.
From any machine you can spin up a massive number of tests and run them in parallel across many machines in the pool, via a single command. Each of these tests are run in a standard, isolated environment, so we rarely run into the “it works on my machine!” issue.
Before code is submitted,
presubmit
tests can be run that will find all tests that depend transitively on the change and run them. You can also define presubmit rules that run checks on a code change and verify that tests were run before allowing submission.
Once you’ve submitted test code, the build and test system automatically registers the test, and starts building/testing continuously. If the test starts failing, your team will get notification emails. You can also visit a test dashboard for your team and get details about test runs and test data. Monitoring the build/test status is made even easier with our build orbs designed and built by Googlers. These small devices will glow red if the build starts failing. Many teams have had fun customizing these orbs to various shapes, including a statue of liberty with a glowing torch.
Statue of LORBerty
Running larger integration and end-to-end tests takes a little more work, but we have some excellent tools to help with these tests as well: Integration test runners, hermetic environment creation, virtual machine service, web test frameworks, etc.
The impact
So how do these tools actually affect our productivity? For starters, the code is easy to find, edit, review, and submit. Engineers are free to choose tools that make them most productive. Before and after submission, running small tests is trivial, and running large tests is relatively easy. Since tests are easy to create and run, it’s fairly simple to maintain a green build, which most teams do most of the time. This allows us to spend more time on real problems and less on the things that shouldn’t even be problems. It allows us to focus on creating rigorous tests. It dramatically accelerates the development process that can
prototype Gmail in a day
and code/test/release service features on a daily schedule. And, of course, it lets us focus on the fun stuff.
Thoughts?
We are interested to hear your thoughts on this topic. Google has the resources to build tools like this, but would small or medium size companies benefit from a similar investment in its infrastructure? Did Google create the infrastructure or did the infrastructure create Google?
8 comments
The Google Test and Development Environment - Pt. 2: Dogfooding and Office Software
Friday, January 03, 2014
by
Anthony Vallone
This is the second in a series of articles about our work environment. See the
first
.
There are few things as frustrating as getting hampered in your work by a bug in a product you depend on. What if it’s a product developed by your company? Do you report/fix the issue or just work around it and hope it’ll go away soon? In this article, I’ll cover how and why Google
dogfoods
its own products.
Dogfooding
Google makes heavy use of its own products. We have a large ecosystem of development/office tools and use them for nearly everything we do. Because we use them on a daily basis, we can dogfood releases company-wide before launching to the public. These dogfood versions often have features unavailable to the public but may be less stable. Instability is exactly what you want in your tools, right? Or, would you rather that frustration be passed on to your company’s customers? Of course not!
Dogfooding is an important part of our test process. Test teams do their best to find problems before dogfooding, but we all know that testing is never perfect. We often get dogfood bug reports for edge and corner cases not initially covered by testing. We also get many comments about overall product quality and usability. This internal feedback has, on many occasions, changed product design.
Not surprisingly, test-focused engineers often have a lot to say during the dogfood phase. I don’t think there is a single public-facing product that I have not reported bugs on. I really appreciate the fact that I can provide feedback on so many products before release.
Interested in helping to test Google products? Many of our products have feedback links built-in. Some also have Beta releases available. For example, you can start using
Chrome Beta
and help us file bugs.
Office software
From system design documents, to test plans, to discussions about beer brewing techniques, our products are used internally. A company’s choice of office tools can have a big impact on productivity, and it is fortunate for Google that we have such a comprehensive suite. The tools have a consistently simple UI (no manual required), perform very well, encourage collaboration, and auto-save in the cloud. Now that I am used to these tools, I would certainly have a hard time going back to the tools of previous companies I have worked. I’m sure I would forget to click the save buttons for years to come.
Examples of frequently used tools by engineers:
Google Drive Apps
(Docs, Sheets, Slides, etc.) are used for design documents, test plans, project data, data analysis, presentations, and more.
Gmail
and
Hangouts
are used for email and chat.
Google Calendar
is used to schedule all meetings, reserve conference rooms, and setup video conferencing using Hangouts.
Google Maps
is used to map office floors.
Google Groups
are used for email lists.
Google Sites
are used to host team pages, engineering docs, and more.
Google App Engine
hosts many corporate, development, and test apps.
Chrome
is our primary browser on all platforms.
Google+
is used for organizing internal communities on topics such as food or C++, and for socializing.
Thoughts?
We are interested to hear your thoughts on this topic. Do you dogfood your company’s products? Do your office tools help or hinder your productivity? What office software and tools do you find invaluable for your job? Could you use Google Docs/Sheets for large test plans?
(Continue to part 3)
12 comments
The Google Test and Development Environment - Pt. 1: Office and Equipment
Friday, December 20, 2013
by
Anthony Vallone
When conducting interviews, I often get questions about our workspace and engineering environment. What IDEs do you use? What programming languages are most common? What kind of tools do you have for testing? What does the workspace look like?
Google is a company that is constantly pushing to improve itself. Just like software development itself, most environment improvements happen via a bottom-up approach. All engineers are responsible for fine-tuning, experimenting with, and improving our process, with a goal of eliminating barriers to creating products that amaze.
Office space and engineering equipment can have a considerable impact on productivity. I’ll focus on these areas of our work environment in this first article of a series on the topic.
Office layout
Google is a highly collaborative workplace, so the open floor plan suits our engineering process. Project teams composed of Software Engineers (SWEs), Software Engineers in Test (SETs), and Test Engineers (TEs) all sit near each other or in large rooms together. The test-focused engineers are involved in every step of the development process, so it’s critical for them to sit with the product developers. This keeps the lines of communication open.
Google Munich
The office space is far from rigid, and teams often rearrange desks to suit their preferences. The facilities team recently finished renovating a new floor in the New York City office, and after a day of engineering debates on optimal arrangements and white board diagrams, the floor was completely transformed.
Besides the main office areas, there are lounge areas to which Googlers go for a change of scenery or a little peace and quiet. If you are trying to avoid becoming a casualty of The Great Foam Dart War, lounges are a great place to hide.
Google Dublin
Working with remote teams
Google’s worldwide headquarters is in Mountain View, CA, but it’s a very global company, and our project teams are often distributed across multiple sites. To help keep teams well connected, most of our conference rooms have video conferencing equipment. We make frequent use of this equipment for team meetings, presentations, and quick chats.
Google Boston
What’s at your desk?
All engineers get high-end machines and have easy access to data center machines for running large tasks. A new member on my team recently mentioned that his Google machine has 16 times the memory of the machine at his previous company.
Most Google code runs on Linux, so the majority of development is done on Linux workstations. However, those that work on client code for Windows, OS X, or mobile, develop on relevant OSes. For displays, each engineer has a choice of either two 24 inch monitors or one 30 inch monitor. We also get our choice of laptop, picking from various models of Chromebook, MacBook, or Linux. These come in handy when going to meetings, lounges, or working remotely.
Google Zurich
Thoughts?
We are interested to hear your thoughts on this topic. Do you prefer an open-office layout, cubicles, or private offices? Should test teams be embedded with development teams, or should they operate separately? Do the benefits of offering engineers high-end equipment outweigh the costs?
(Continue to part 2)
20 comments
Two New Videos About Testing at Google
Friday, April 12, 2013
by
Anthony Vallone
We have two excellent, new videos to share about testing at Google. If you are curious about the work that our Test Engineers (TEs) and Software Engineers in Test (SETs) do, you’ll find both of these videos very interesting.
The
Life at Google
team produced a video series called
Do Cool Things That Matter
. This series includes a video from an SET and TE on the Maps team (Sean Jordan and Yvette Nameth) discussing their work on the Google Maps team.
Meet Yvette and Sean from the Google Maps Test Team
The
Google Students
team hosted a
Hangouts On Air
event with several Google SETs (Diego Salas, Karin Lundberg, Jonathan Velasquez, Chaitali Narla, and Dave Chen) discussing the SET role.
Software Engineers in Test at Google - Covering your (Code)Bases
Interested in joining the ranks of TEs or SETs at Google? Search for
Google test jobs
.
No comments
Test Engineers @ Google
Monday, January 14, 2013
By Yvette Nameth
At Google, we’re very big into highlighting individuals’ strengths and using them to make teams and products better. However, we frequently get asked “What do Test Engineers (aka TEs) do?” I pause when I get this question since it’s hard to speak for my peers - I test
Google Maps rendering
, which is just one small portion of what Google’s Test Engineers test.
In order to get a clearer picture of what Test Engineers are responsible for, I chatted with three of my colleagues. We were able to identify the underlying Test Engineers’ similarities, while highlighting the differences.
So what common themes do Test Engineers specialize in at Google?
We’re product experts:
Test Engineers need to become a “go-to” person for how their product works and integrates with other Google products. (You aren’t expected to have this before working with a product, but you need to figure out how to become one on any product you work on!) TEs need to understand use cases and contracts with other services, products, and features. We aren’t expected to write unit tests for other engineer’s code; instead we ensure product quality on the functional and integration aspects of the product.
We’re flexible:
Test Engineers are required to switch tasks and re-prioritize frequently. From unplanned catastrophes, to shifting launch calendars, to people asking us questions, our work is filled with interrupts. We determine how to ensure quality in the face of the interrupts.
We also modify our tests based on the pace of the development and understand that there is no one right way to test a product. Test Engineers adapt tools to meet their needs and understand when a tool just can’t get the job done.
We’re clear communicators:
We have to be able to communicate via test plans, design docs, bugs, email and code. Every day we work with a wide variety of people in different roles: Software Engineers, Software Engineers in Test, Product Managers, Usability Researchers, Designers, Legal Counsel, etc. We need to address these different audiences to make sure we’re either gathering the information that will help us build better strategies or presenting feedback that will help influence the product.
We’re good at coordination:
We are people who use our “in between the product and user” status to coordinate integration testing efforts between products. We may coordinate manual testing efforts by our manual testers; or we may make sure that test gaps are being addressed by “someone” (Test Engineer, Software Engineer in Test, or Software Engineer). We put our product knowledge and communication together with a bit of coordination and make sure that bugs are looked at and the product is getting tested hourly / daily.
We have impact:
Google Test Engineers have big impact. We hold responsibility thinking of ways that our products could fail in “real scenarios”; and then we add tests to make sure that the worst won’t come to pass.
How big is this? Well, in my case, I’m responsible for making sure Google Maps represents a map that is useful to my relatives in the middle of rural Montana as well as my friends living in London, Paris or Sydney. When you add to that the billions of other users in different regions, speaking different languages and using the map for different reasons, I know that my testing is impacting their ability to get around and find out information about the physical world around them safely.
We code:
The other most common question is “Do you write code?” The answer is yes; Test Engineers at Google do code.
The three aspects that generally differentiate what a Test Engineer does day-to-day depend on the following:
Individual’s Strengths & Interests:
Everyone is different and every TE has different passions, strengths and areas of expertise. Thankfully, Google’s a big enough company that many different areas of testing are available, and we gravitate to testing products we like. All TEs start with core competencies in testing, coding, and algorithms. How a TE applies this knowledge varies.
The Type of Product:
Desktop, web app or mobile? Frontend or backend? The technologies that our products use and run on create a lot of variation in what and how we test.
The Product’s History / Lifecycle:
Early concept products don’t resemble those that exist in production. And the amount of testing that a product already has will determine what testing the TE is focused on. We work creating a test roadmap that parallels the product’s development cycle and addresses any testing gaps.
If you still want to know what the day in the life of a Test Engineer entails, we’ll never be able to give you a general answer for that. Instead I suggest that you check out
what Alan Faulkner is doing
or ask the next Google Test Engineer you meet.
Interested in joining the ranks of Test Engineers (or Software Engineers in Test)? Check out
http://goo.gl/2RDKj
About the Contributors:
Albert Drona has been at Google for 5 years and is currently working on Google Maps for Mobile.
Jatin Shah has been at Google for 9 months on Google+.
Mohammad Khan has been at Google for 7 years and is currently working on Google+ releases.
About the Author:
Yvette Nameth has been at Google for 5 years and is currently working on Google Maps rendering.
20 comments
Conversation with a Test Engineer
Wednesday, September 19, 2012
By Alan Myrvold
Alan Faulkner is a Google Test Engineer working on DoubleClick Bid Manager, which enables advertising agencies and advertisers to bid on multiple ad exchanges. Bid Manager is the next generation of the Invite Media product, acquired by Google in 2010. Alan Faulkner has been focused on the migration component of Bid Manager, which transitions advertiser information from Invite Media to Bid Manager. He joined Google in August 2011, and works in the Kirkland, WA office.
Are you a Test Engineer, or a Software Engineer in Test, and what’s the difference?
Right now, I’m a Test Engineer, but the two roles can be very similar. As a Test Engineer, you’re more focused on the overall quality of the product and speed of releases, while a Software Engineer in Test might focus more on test frameworks, automation, and refactoring code for testability. I think of the difference as more of a shift in focus and not capabilities, since both roles at Google need to be able to write production quality code. Example test engineering tasks I worked on are introducing an automated release process, identifying areas for the team to improve code coverage, and reducing the manual steps needed to validate data correctness.
What is a typical day for you?
When I get in, I look at any code reviews I need to respond to, look for any production bugs from technical account managers that are high priority, and then start writing code. In my current role, I focus my development effort on improving the efficiency and coverage of our large scale integration tests and frameworks. I also work on adding additional features to our product that improve our testability. I typically spend anywhere from 50% to 75% of my time either writing code or participating in code reviews.
Do you write only test code?
No, I write a lot of code that is included in the product as well. One of the great things about being an SET or TE at Google is that you can write product code as easily as test code. I write both. My test code focuses on improving test frameworks and enabling developers to write integration tests. The production code that I write focuses on increasing the verification of external inputs. I also focus on adding features that improve testability. This pushes more quality features into the product itself rather than relying on test code for correctness.
What programming languages do you use?
Both the test and product code are mostly Java. Occasionally I use Python or C++ too.
How much time to do you spend doing manual testing?
Right now, with the role I am in, I spend less than 5% of my time doing manual testing. Although some exploratory testing helps develop product knowledge and find risky areas, it doesn’t scale as a repeated process. There are a small amount of manual steps and I focus on ways to help reduce this so our team does not spend our time doing repeated manual steps as part of our data migration.
Do you write unit tests for code that isn’t yours?
At Google, the responsibility of testing is shared across all product engineers, not just Test Engineers. Everyone is responsible for writing unit tests as well as integration tests for their components. That being said, I have written unit tests for components that are outside of what I developed but that has been to illustrate how to write a unit test for said component. This component usually involved a abnormally complex set of code or to illustrate using a new mocking framework, such as
Mockito
.
What do you like about working on the Google advertising products?
I like the challenges of the scalability problems we need to solve, from handling massive amounts of data to dealing with lots of real time ad requests that need to be responded to in milliseconds. I also like the impact, since the products affect a lot of people. It’s rewarding to work on stuff like that.
How is testing at Google different from your experience at other companies?
I feel the role is more flexible at Google. There are fewer SET’s and TE’s in my group at Google per developer, and you have the flexibility to pick what is most important. For example, I get to write a lot of production code to fix bugs, make the code more testable, and increasing the visibility into errors encountered during our data migrations. Plus, developers at Google spend a lot of time writing tests, so testing isn’t just my responsibility.
How does the Google Kirkland office differ from the headquarters in Mountain View?
What I really like about the offices at Google is that each of them has their own local feel and personality. Google encourages this! For instance, the office here in Kirkland has a climbing wall, boats and all the conference rooms in our building are named after local bands in the area. The office in Seattle has kayaks and the New York office has an actual food truck in its cafeteria.
What’s the future of testing at Google?
I think the future is really bright. We have a lot of flexibility to make a big impact on quality, testability and improving our release velocity. We need to release new features faster and with good quality. The problems that we face are complex and at an extreme scale. We need engineering teams focused on ensuring that we have efficient ways to simulate and test. There will always be a need for testers and developers that focus on these areas here at Google.
Interested in
test jobs at Google
?
5 comments
Covering all your codebases: A conversation with a Software Engineer in Test
Saturday, August 11, 2012
Cross-posted from the
Google Student Blog
Today we’re featuring Sabrina Williams, a Software Engineer in Test who joined Google in August 2011. Software Engineers in Test undertake a broad range of challenges on a daily basis, designing and building intelligent systems that can explore various use cases and scenarios for distributed computing infrastructure. Read on to learn more about Sabrina’s path to Google and what she works on now that she’s here!
Tell us about yourself and how you got to Google.
I grew up in rural Prunedale, Calif. and went to Stanford where I double-majored in philosophy and computer science. After college I spent six years as a software engineer at HP, working primarily on printer drivers. I began focusing on testing my last two years there—reading books, looking up information and prototyping test tools in my own time. By the time I left, I’d started a project for an automated test framework that most of our lab used.
I applied for a software engineering role at Google four years ago and didn’t do well in my interviews. Thankfully, a Google recruiter called last year and set me up for software engineer (SWE) interviews again. After a day of talking about testing and mocking for every design question I answered, I was told that there were opportunities for me in SWE and SET. I ended up choosing the SET role after speaking with the SET hiring manager. He said two things that convinced me. First, SETs spend as much time coding as SWEs, and I wanted a role where I could write code. Second, the SETs job is to creatively solve testing problems, which sounded more interesting to me than writing features for a product. This seemed like a really unique and appealing opportunity, so I took it!
So what exactly do SETs do?
SETs are SWEs who are really into testing. We help SWEs design and refactor their code so that it is more testable. We work with test engineers (TEs) to figure out how to automate difficult test cases. We also write harnesses, frameworks and tools to make test automation possible. SETs tend to have the best understanding of how everything plays together (production code, manual tests, automated tests, tools, etc.) and we have to make that information accessible to everyone on the team.
What project do you work on?
I work on the
Google Cloud Print
team. Our goal is to make it possible to print anywhere from any device. You can use Google Cloud Print to connect home and work printers to the web so that you (and anyone you share your printers with) can access them from your phone, tablet, Chromebook, PC or any other supported web-connected device.
What advice would you give to aspiring SETs?
First, for computer science majors in general: if there’s any other field about which you are passionate, at least minor in it. CS is wonderfully chameleonic in that it can be applied to anything. So if, for example, you love art history, minor in art and you can write software to help restore images of old paintings.
For aspiring SETs, challenge yourself to write tests for all of the code you write for school. If you can get an internship where you have access to a real-world code base, study how that company approaches testing their code. If it’s well-tested, see how they did it. If it’s not well-tested, think about how you would test it. I don’t (personally) know of a CS program that has even a full course based on testing, so you’ll have to teach yourself. Start by looking up buzzwords like “unit test” and “test-driven development.” Look up the different types of tests (unit, integration, component, system, etc.). Find a code coverage tool (if a free/cheap one is available for your language of choice) and see how well you’re covering your code with your tests. Write a tool that will run all of your tests every time you build your code. If all of this sounds like fun...well...we need more people like you!
If you’re interested in applying for a Software Engineer in Test position, please apply for our general
Software Engineer
position, then indicate in your resume objective line that you’re interested in the SET role.
Posted by Jessica Safir, University Programs
2 comments
The SET Career Path
Tuesday, April 05, 2011
By James Whittaker
I've had a number of questions about the SET role and it seems I have confused folks when I say that the SWE is a tester and the SET is a tester and at the same time the SWE is a developer and the SET is a developer. What could possibly be confusing about that?
Oh, yeah. Right.
My next series of posts are going to detail the role of the SET and all will eventually be clear but some clarification on career path seems worthwhile.
SETs are developers who write test code and automation as their primary task. They are in every sense of the word a developer. When we interview SETs, SWEs are on the interview loop and SWE questions are asked. They are not all of the interview, but they are part of it.
This means that the skill set that our SETs possess makes them perfect candidates for switching to the SWE role. There is neither incentive nor deterrent to do so. SETs and SWEs are on the same pay scale and bonus structure (I have both roles reporting to me so I have real visibility into salary data) and their promotion velocity (again based on actual data) is roughly equivalent. This means that SETs have no outside influences to prompt them one way or the other.
The key factor is really the type of work you are doing. SETs who find themselves involved in SWE work usually convert to SWE. SWEs are also drawn in the opposite direction. Much of this happens through our 20% time work. Any SET interested in SWE work can take on a 20% task doing feature development. Any SWE interested in automation can find a group and sign up for a 20%. Right now I have both SWEs and SETs involved in such cross pollination.
The ideal situation is that the title reflects the actual work that you are involved in. So if an SET starts doing more feature dev work than automation, he or she should convert, same for SWEs doing automation work. In my time here, conversions in both directions have happened, but it is not all that common. The work of both roles is engaging, interesting and intense. Few Googlers are walking around bored.
Bottom line: do the work you are passionate about and capable of and the right job title will find you.
12 comments
Our Culture
Wednesday, September 15, 2010
No comments
Our Impact
Wednesday, September 15, 2010
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It's not QA
Wednesday, September 15, 2010
3 comments
Google is hiring SETs
Friday, March 12, 2010
Drop me a resume and a brief note if you're interested in joining Google as an SET. email: test.eng.hiring@gmail.com. Thanks -- Patrick Copeland
When we hire people we look for folks with a "testing DNA." These are people who are great computer scientists at their core, but also are very curious, love software, and are passionate about test engineering. People who have those characteristics tend to pursue challenges and continue to learn. Are you one of us? We have positions all over the US and the world.
What is a SET?
At Google, Software Engineers in Test (SET) develop test frameworks and build robust, scalable, and effective tests. SETs spend a majority of their time coding in either C++, Java, or scripting in Python. A SET is a software engineer, a core developer, who has a passion for test engineering.
How is testing done differently at Google?
Literally within milliseconds of a code check-in, our build process will automatically select the appropriate tests to run based on dependency analysis, run those tests and report the results.
By reducing the window of opportunity for bad code to go unnoticed, overall debugging and bug isolation time is radically reduced. The net result is that the engineering teams no longer sink hours into debugging build problems and test failures.
Development teams write good tests because they care about the products, but also because they want more time to spend writing features and less on debugging.
Testing teams focus on higher abstractions, like identifying latencies, system or customer focused testing, and enabling the process with tools.
SETs avoid becoming codependents within this system and generally do not write unit tests or other activities that are best done by the developer.
More about SETs
Our SET’s spend time developing code to prevent bugs. Google has a strong cultural emphasis on developers improving quality (i.e. unit tests, code reviews, design reviews, root cause analysis). We want our engineers to spend their time innovating - not fixing bugs.
SETs enable products to launch faster. They have great influence over internal processes and how developers write code.
One of Google's less understood capabilities is our massive distributed computing environment. The testing groups exploit this infrastructure to do huge amounts of work very quickly and elegantly.
For someone who wants to learn and grow as an engineer, the uninhibited access to the entire code base is a unique opportunity.
26 comments
Test Engineering at Google
Thursday, October 16, 2008
By
Roshan
Sembacuttiaratchy
, Software Engineer in Test, Google Zurich, Switzerland
When I tell people that I'm a Test Engineer at Google, I get a confused look from them and questions as to what I actually do. Do I sit in front of a keyboard clicking every button and link on screen? Do I watch over the infinite number of monkeys, checking to make sure they produce Shakespeare's work while clicking said links? Or do we create
better and smarter pigeons
? Well, it's actually a bit of everything, but not quite in the way you might think at first.
The people working in Test Engineering are software developers with a passion for testing and
test automation
. Whereas most software engineers at Google are working on developing products, Test Engineering's objective is to help improve the quality of the projects we're involved in. We work integrated with the project team, developing test frameworks and setting up
test systems
. One of our key mantras is automation, so our first task whenever we're assigned to a new project is to evaluate the current state of test automation, identify what we could do to improve the results obtained, reduce the total run time, and make the best use of available resources.
Load and performance testing
is another important task we perform, along with analysis of the results. We're also not afraid to get our hands dirty by diving deep into the project's code to identify what re-factoring might be useful to help test the system better, creating and introducing
stubs, fakes and mocks
as necessary. As you might guess, we're big fans of
Test Driven Design
,
Continuous Integration
and other agile techniques and play the role of evangelists, spreading the word on new tools, techniques and best practices.
Individual project assignments tend to be limited in duration, as we're a relatively small group of people in Test Engineering, helping support a much larger group of software developers. So once we've completed our tasks for one project, we move on to the next, working with a different team of people and a different set of problems, changing projects every few months.
That pretty much describes what I do, and how our team in Zurich works. So to answer the questions posed initially, I write software which performs the task of clicking every button and every link, and which then
verifies the result of these actions. I run this on a few hundred machines to mimic virtual monkeys, and hand it over to the development team so that they can use it to check that their product is working, even after I've left their project. And if it produces
the works of Shakespeare
, that's just an added bonus! :-)
7 comments
Google New York Test Engineering Forum July 25
Friday, July 13, 2007
Posted by Zuri Kemp, Test Engineering Lead, Google New York
Google New York is hosting a forum so that those of you in the local test engineering community can get to know one another while discussing topics significant to test engineers. This is a new series of events we're calling the Google New York Test Engineering Forum. So if you're a Test Engineer in the New York City tri-state area, please consider this your invitation to the kickoff forum on Wednesday, July 25th.
For this first event, our panel will ask "Is there a career path in test engineering?" and "What is the value of a Test Engineer?". This is an informal session, and we welcome lots of audience participation.
Register and learn more
here
.
3 comments
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