Hire Deeply Vetted Google Compute Engine (GCE) Developer

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Google Compute Engine (GCE)
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Andrii  Zelinskyi

Andrii Zelinskyi, Senior Data Engineer

Ternopil, Ukraine
Last Updated: 17 May 2024

Certified Data Engineer and Scientist with a strong foundation in computer science, holding a Master's degree and an AWS certification. Possesses over 6 years of experience in creating sophisticated ETL pipelines, conducting data analysis, and deploying machine learning models. Proficient in Python, with additional expertise in Java, Kotlin, and C/C++. Demonstrates advanced knowledge of an array of technologies including AWS services, GCP, Docker, Kubernetes, and Apache Airflow, among others. Skilled in managing cloud solutions, automating data pipelines, and integrating with various APIs. Leveraged high-level programming and analysis skills in a variety of industry projects from steel defect detection to financial forecasting.

Google Compute Engine (GCE)

Google Compute Engine (GCE)

Python

Python   6 yr.

CD DevOps pipelines

CD DevOps pipelines

Data Analysis

Data Analysis

Data Mining

Data Mining

Business Analysis

Business Analysis

Serhii B, Cloud Solutions Architect/DevOps

Poland
Last Updated: 16 Nov 2023

- Highly skilled and experienced Software Engineer with a strong background in computer science and automated control systems. - Proficient in a wide range of programming languages and technologies, including Java, Python, Ruby, and Node JS. - Extensive experience in designing and implementing software architectures, with a focus on cloud solutions and DevOps practices. - Strong knowledge of methodologies and frameworks such as TOGAF, Agile, and SCRUM. - Experienced in working with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Compute Platform. - Skilled in data analysis, data modeling, and data integration, with expertise in Big Data and IoT solutions. - Demonstrated ability to lead and manage teams, conduct architecture assessments, and provide improvement recommendations.

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Google Compute Engine (GCE)

Google Compute Engine (GCE)   3 yr.

Amazon Web Services (AWS)

Amazon Web Services (AWS)   8 yr.

Azure DevOps

Azure DevOps   8 yr.

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Borys, Data Science Engineer

Ternopil, Ukraine
Last Updated: 17 May 2024

Certified Data Scientist with a strong focus on NLP, CV, and Recommender Systems backed by 4 years of commercial experience. Proficient in Python with a rich toolset including Pandas, numpy, TensorFlow, and Keras. Possesses a solid track record in building products from scratch and devising innovative solutions with machine learning and data processing methodologies. Hands-on experience in deploying scalable solutions using Kubeflow, Docker, and CI/CD practices, complemented by proficiency with various databases such as MySQL and BigQuery. With a Bachelor’s and Master’s degrees in Cybersecurity Engineering, and continued education via a PhD, the engineer exemplifies a deep understanding of computer science fundamentals and data science trends. This technical expertise, combined with domain knowledge in e-commerce and network security, distinguishes the potential candidate as a valuable asset for fostering growth and innovation in technology-driven environments.

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Google Compute Engine (GCE)

Google Compute Engine (GCE)

Unified Modeling Language (UML)

Unified Modeling Language (UML)

Model-view-controller (MVC) pattern

Model-view-controller (MVC) pattern

AWS Machine learning services (ML)

AWS Machine learning services (ML)

Python

Python

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Abdul, Solution Architect

Pakistan
Last Updated: 4 Jul 2023

• 15 years of proven experience in IT industry • 7 years experience as Solution Architect, 3 years of which in a position of Senior Architect • 12 years of experience in Java, Spring Boot, Micro Services and AWS, Google, Azure Cloud for deployment. • Worked with Ant and Maven and Gradle Build tools in Java. • Experience in designing, developing and overseeing the implementation of solutions that improve the stability, scalability, availability and latency • Expertise in steaming tools such as Kafka • Experience in MySQL, Cassandra, PostgreSQL • Automated environments setup for Developers, Staging for SQA and Production for customers • Extensive experience with Continuous Integration Tools like Jenkin, Hudson, circleci, TeamCity, Bamboo, GitLab and configuring CI/CD with unit test on builds • Experience with AWS API gateway, Lambda functions, Elastic Load Balancers, VPC, Security groups, Jump Servers, Route53, Cloud Watch and servers Auto Scaling • Worked with different Bug Tracking Tools like Remedy, Jira, ServiceNow and Clear Quest. • Ability in development and execution of XML, Shell Scripts and Perl Scripts. • Experience in cloud cost optimization, resources cleanup, automated services scaling based on load and ensuring latest security standards • Experience in linux/Unix Systems • Worked on SDLC Methodologies like Agile, Waterfall.

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Google Compute Engine (GCE)

Google Compute Engine (GCE)

Java

Java   12 yr.

Spring Framework

Spring Framework

Amazon Web Services (AWS)

Amazon Web Services (AWS)

SQL

SQL

Apache Kafka

Apache Kafka

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Sergey M., DevOps / System engineer

Ukraine
Last Updated: 4 Jul 2023

• 24-year experience as System engineer / DevOps with experience in network infrastructures management field across different OS (Linux, Windows). • Proficient with infrastructure clustering for handing high loads and high availability. Experience with building CI/CD pipelines. • Hands on experience with containerization using Docker, automated systems deployment using Ansible, infrastructure monitoring, centralized logging, Kubernetes. • Available: ASAP. • No scheduled vacations within next 3 months.

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Google Compute Engine (GCE)

Google Compute Engine (GCE)

Terraform

Terraform

Kubernetes (K8s)

Kubernetes (K8s)

Docker

Docker

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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Only 3 Steps to Hire Google Compute Engine (GCE) Engineers

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
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Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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Volodymyr
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FAQs about Google Compute Engine (GCE) Development

How do I hire a Google Compute Engine (GCE) developer? Arrow

Are you desperately looking for a Google Compute Engine (GCE) developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the Google Compute Engine (GCE) Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find Google Compute Engine (GCE) developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the Google Compute Engine (GCE) guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff Google Compute Engine (GCE) developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating Google Compute Engine (GCE) candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire Google Compute Engine (GCE) developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched Google Compute Engine (GCE) Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet Google Compute Engine (GCE) engineers in person. Make the right call. Bring a new Google Compute Engine (GCE) developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote Google Compute Engine (GCE) engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their Google Compute Engine (GCE) skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire Google Compute Engine (GCE) developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire Google Compute Engine (GCE) developers. Upstaff has a network of vetted and tested Google Compute Engine (GCE) developers. Here, you can hire web developers for a few simple coding tasks with Google Compute Engine (GCE).

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Table of Contents

How and where is Google Compute Engine (GCE) used?

  • Big Data Processing: Analyzing large datasets
  • High-Performance Computing: Running complex simulations
  • Web Hosting: Hosting websites and web applications
  • Containerized Applications: Running Docker containers
  • Machine Learning: Training and deploying ML models
  • CI/CD Pipelines: Automating software delivery
  • Game Development: Building and running game servers
  • IoT Applications: Processing data from IoT devices
  • DevOps Tools: Managing infrastructure with tools like Terraform
  • Media Encoding: Encoding and streaming media content

Compare Junior, Middle, Senior, and Expert/Team Lead Google Compute Engine (GCE) Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2Responsibilities & Activities:

  • Assist in basic code development
  • Documentation support
$50,000
Middle2-5Responsibilities & Activities:

  • Develop software features
  • Code testing
$80,000
Senior5-8Responsibilities & Activities:

  • Lead project planning
  • Code review
$110,000
Expert/Team Lead8+Responsibilities & Activities:

  • Architect solutions
  • Mentor team members
$150,000

Quick Facts about Google Compute Engine (GCE).

  • Google Compute Engine (GCE) was born in 2013, making geeks rejoice!
  • From hosting websites to running complex simulations, GCE does it all!
  • To enter the GCE realm, all you need is a Google Cloud Platform account!
  • Kubernetes is GCE’s best buddy, always working together like Batman and Robin!
  • Fun Fact: GCE lets you launch virtual machines faster than a speeding bullet!

TOP Google Compute Engine (GCE) Related Technologies

  1. Python (Guido van Rossum)
  2. JavaScript (Brendan Eich)
  3. Java (Sun Microsystems)
  4. Node.js (Ryan Dahl)
  5. Go (Google)
  6. Ruby (Yukihiro Matsumoto)

What are top Google Compute Engine (GCE) instruments and tools?

  • Google Cloud Console: Manage GCE resources
  • Cloud SDK: Command-line tools by Google
  • Cloud Shell: Browser-based shell
  • Deployment Manager: Infrastructure deployment
  • Stackdriver: Monitoring & diagnostics

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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager