Google Operations Center tech stack

Google Operations Center builds mostly with SQL, Python, JavaScript, TypeScript. Its stack also includes GCP, Angular, Postman, BigQuery. SQL is named in 15 of the 34 job postings Google Operations Center published in the last 12 months (44%). Counted by Alion from the job postings of Google Operations Center, updated Oct 14, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 14, 2026
Technologies in use
57
Postings analysed
34
Open now
34
Modernity
74 /100

What programming languages does Google Operations Center use?

SQL is named in 44% of job postings at Google Operations Center, followed by Python (24%), JavaScript (24%), TypeScript (15%).

SQL 15 44% required in 73% · 15 open now · since Aug 2026
Python 8 24% required in 75% · 8 open now · since Sep 2026
JavaScript 8 24% required in 50% · 8 open now · since Aug 2026
TypeScript 5 15% required in 40% · 5 open now · since Sep 2026
Java 3 9% required in 33% · 3 open now · since Sep 2026
Kotlin 2 6% optional · 2 open now · since Sep 2026
Apex 1 3% required in 100% · 1 open now · since Oct 2026
PHP 1 3% optional · 1 open now · since Oct 2026

What frameworks and libraries does Google Operations Center use?

Angular is named in 15% of job postings at Google Operations Center, followed by JUnit (6%), Mockito (6%), React.js (6%).

Angular 5 15% required in 80% · 5 open now · since Sep 2026
JUnit 2 6% required in 100% · 2 open now · since Sep 2026
Mockito 2 6% required in 100% · 2 open now · since Sep 2026
React.js 2 6% required in 100% · 2 open now · since Sep 2026
Rest-Assured 2 6% required in 100% · 2 open now · since Sep 2026
Spring Boot 2 6% required in 100% · 2 open now · since Sep 2026
Spring Framework 2 6% required in 100% · 2 open now · since Sep 2026
Spring MVC 2 6% required in 100% · 2 open now · since Sep 2026
Show all (10)
Spring Security2
Visualforce1

What databases does Google Operations Center use?

BigQuery is named in 9% of job postings at Google Operations Center, followed by Google BigQuery (9%).

BigQuery 3 9% required in 100% · 3 open now · since Sep 2026
Google BigQuery 3 9% required in 100% · 3 open now · since Sep 2026

What cloud and platforms does Google Operations Center use?

GCP is named in 24% of job postings at Google Operations Center, followed by Postman (12%), Looker (9%), GitHub (6%).

GCP 8 24% required in 88% · 8 open now · since Sep 2026
Postman 4 12% required in 50% · 4 open now · since Sep 2026
Looker 3 9% required in 100% · 3 open now · since Sep 2026
GitHub 2 6% required in 100% · 2 open now · since Oct 2026
Tableau 2 6% required in 100% · 2 open now · since Oct 2026
Figma 2 6% optional · 2 open now · since Sep 2026
Kubernetes 1 3% required in 100% · 1 open now · since Sep 2026
Linux 1 3% required in 100% · 1 open now · since Oct 2026
Show all (15)
Windows1
Windows Server1
AWS1
Azure1
Braze1
Cognos1
Vertex AI1

What developer tools does Google Operations Center use?

Git is named in 6% of job postings at Google Operations Center, followed by Rest API (6%), TestRail (6%), Adobe After Effects (3%).

Git 2 6% required in 100% · 2 open now · since Sep 2026
Rest API 2 6% optional · 2 open now · since Sep 2026
TestRail 2 6% optional · 2 open now · since Oct 2026
Adobe After Effects 1 3% required in 100% · 1 open now · since Sep 2026
Adobe Photoshop 1 3% required in 100% · 1 open now · since Sep 2026
Docker 1 3% optional · 1 open now · since Sep 2026
Drupal 1 3% optional · 1 open now · since Oct 2026
Google ADK 1 3% optional · 1 open now · since Sep 2026
Show all (9)
Microsoft Excel1

What AI and ML technologies does Google Operations Center use?

LLM is named in 3% of job postings at Google Operations Center.

LLM 1 3% required in 100% · 1 open now · since Sep 2026

Which engineering practices does Google Operations Center ask for?

SLI/SLO/SLA is named in 18% of job postings at Google Operations Center, followed by ETL/ELT (12%), CI/CD (12%), SOAP (6%).

SLI/SLO/SLA 6 18% required in 100% · 6 open now · since Aug 2026
ETL/ELT 4 12% required in 100% · 4 open now · since Sep 2026
CI/CD 4 12% required in 50% · 4 open now · since Sep 2026
SOAP 2 6% required in 100% · 2 open now · since Sep 2026
A/B Testing 2 6% optional · 2 open now · since Oct 2026
Machine Learning 2 6% optional · 2 open now · since Sep 2026
DNS 1 3% required in 100% · 1 open now · since Sep 2026
IAM 1 3% required in 100% · 1 open now · since Sep 2026
Show all (12)
Multimodal AI1
Prompt Engineering1
AI Agents1
Agentic Workflows1

What does each Google Operations Center team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Data Science

5 postings
SQL5
BigQuery3
GCP3
Google BigQuery3
Looker3
GitHub2

Industrial Engineering

3 postings
Angular2
Git2
JUnit2
JavaScript2
Mockito2
Postman2

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How modern is the Google Operations Center stack?

Modern AI adopter 74/100

Google Operations Center scores 74 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

Questions about the Google Operations Center tech stack

What programming languages does Google Operations Center use?

The languages named in Google Operations Center job postings are SQL (44%), Python (24%), JavaScript (24%), TypeScript (15%), Java (9%), as a share of the 34 postings of the last 12 months.

Does Google Operations Center use Angular?

Yes. Angular is named in 5 of 34 job postings (15%) and required in 4 of them.

What cloud and platforms does Google Operations Center use?

The cloud and platforms named in Google Operations Center job postings are GCP (8), Postman (4), Looker (3) (postings in brackets).

What skills do you need for a Data Science job at Google Operations Center?

Data Science postings at Google Operations Center most often require SQL (5), BigQuery (3), GCP (3), Google BigQuery (3), out of 5 postings in the last 12 months.

Is the Google Operations Center tech stack changing?

No new technology has appeared in Google Operations Center job postings in the last six months.

How modern is the Google Operations Center tech stack?

Google Operations Center scores 74 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How does Alion know the Google Operations Center tech stack?

Alion reads every job posting Google Operations Center publishes and tags the technologies each one names. The figures on this page count the 34 postings of the last 12 months and were updated on Oct 14, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "Google Operations Center tech stack: 57 technologies from 34 job postings", as of Oct 14, 2026. https://alion.io/company/googleoperationscenter/technologies

Licence: CC BY-SA 4.0JSON