Mobilunity

APRIL 7, 2025

Must-Have Skills of Java-Specialized Professionals Core Java Proficiency Strong knowledge of OOP principles Experience with Java SE features Understanding of JVM internals for memory optimization Expertise in various Java-based frameworks, including Spring, Hibernate for ORM, Jakarta EE for enterprise systems, and others Web Development & APIs (..)

UI/UX 40

UI/UX Technical Review Development Software Review 40

Cloudera

APRIL 2, 2019

. “Based on our initial testing, customer applications on HBase can see an efficiency boost by having bucket cache implementation take advantage of Intel Optane DC persistent memory” stated Amit Virmani, Engineering Manager, Cloudera. Testing also conducted on Hewlett Packard Enterprise servers and Google Cloud Platform

Performance 48

Performance Artificial Inteligence IoT Scalability 48

StubHub

FEBRUARY 21, 2019

By Corey Reed, Head of Data Science & Satya Gandham, Machine Learning Engineering Manager When you serve millions of customers every year?—?averaging That extensive opportunity is further enhanced by our ongoing migration to the cloud which has created several new and exciting avenues to explore. averaging more than 1.3

Data 45

Data Artificial Inteligence Machine Learning Engineering 45

Altexsoft

APRIL 26, 2022

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. As such, it is considered cloud-agnostic. This optimized data is stored in one of the cloud object storage such as S3 by AWS, Google Cloud Storage, or Microsoft Azure Blob Storage.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

The Agile Monkey

SEPTEMBER 14, 2018

Major cloud providers like Amazon Web Services , Microsoft Azure , or Google Cloud Platform have Functions as a Service (FaaS) products where you can deploy those smaller chunks of code.

Serverless 40

Serverless Lambda Microservices Google Cloud 40

Altexsoft

JULY 19, 2022

In between, there are data engineers managing the data infrastructure with ETL/ ELT processes and tools required to transform operational data into analytical ones. As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side.

Architecture 52

Architecture Data Analytics Data Engineering 52

Honeycomb

JANUARY 5, 2021

Though our deploy velocity remained the same, the engineering org has been far from stagnant. In Q1 we promoted Emily Nakashima to VP of Engineering , and we hired two more engineering managers in Q4. Sales and Customer Success.

Part-Time VPE 59

Part-Time VPE Technical Review Engineering Software Review 59

Honeycomb

JANUARY 5, 2021

Though our deploy velocity remained the same, the engineering org has been far from stagnant. In Q1 we promoted Emily Nakashima to VP of Engineering , and we hired two more engineering managers in Q4. Sales and Customer Success.

Part-Time VPE 52

Part-Time VPE Technical Review Engineering Software Review 52

LaunchDarkly

NOVEMBER 16, 2018

And then after a brief stint as a software engineering manager at a small startup I went on to work at Google, where I joined this new nascent team called Site Reliability Engineering, and that teams goal is to be, as a previous speaker mentioned, the master of disaster for Google.

Weak Development Team 49

Weak Development Team CTO Coach Fractional CTO Engineering 49