lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: DevOps/CloudArchitect
Category: DevOps
Experience: 10 years | English: upper

Plan and implement the migration to the cloud.
Design and implement DR and HA
Design and implement the IaC pipeline
Overall I have more than 10 years of experience in different roles in IT. I have been worked as a user support, system and database administrator, web developer, devops engineer and team lead, cloud architect. 
Depends on the role and project I was working on:
- audit cloud solution
- plan and implement migration from on-prem to cloud or from cloud to cloud
- plan and implement cloud-agnostic solutions
- plan and implement HA and DR solutions for existing and new projects
- setup CI/CD flow for a new and existing solution
- setup CI/CD for infra setup
- create user documentation and teach client support
- troubleshooting and problem solving
I'm looking for a part-time job as a DevOps engineer or cloud architect. I will be able to spend approximately 20 hours per week, will be able to work at any timezone.
Position: DevOps / Cloud Architect / Tech Lead / Engineering Manager / Director of Engineering / CTO
Category: Lead
Experience: 11 years | English: fluent

Led Cloud & DevSecOps projects as an Azure SME consultant with a deep hands-on expertise in IaaS and Serverless compute services, Azure Kubernetes Service and containers, SQL, Cosmos DB and storage, Data Analytics, Networking, Migration, Management and Governance, as well as in infrastructure automation using Terraform and ARM templates.

Created multiple enterprise architectures from scratch, designed and implemented landing zones for scalable microservices-based applications in Microsoft Azure.

Architected, implemented and automated Azure cloud infrastructures from ground up to ensure best practices around reliability, security, performance, operations and cost management.

Developed a roadmap, guidelines and an implementation plan to ensure the security, reliability, performance, cost efficiency and operational excellence of the cloud platform. 

Successfully grew, led and mentored distributed teams of DevOps and Cloud Engineers (onsite and offshore), interviewed candidates and onboarded new hires. 

Increased team productivity by employing the Infrastructure-as-Code approach using Terraform, Github Actions Workflows, Azure DevOps.

Advised application and security architects, IT Operations and Engineering teams on best practices in Azure Cloud and Azure DevOps services.
IT professional with over 17 years of experience architecting and implementing complex large-scale cloud environments with a focus on Microsoft Azure.

As a hands-on Cloud Solutions Architect and a DevOps practitioner, I bring deep knowledge of cloud security, Site Reliability Engineering and operations, DevSecOps principles and modern tooling, combined with experience in leading distributed engineering teams.
Position: DevOps/CloudAutomation
Category: DevOps
Experience: 4 years | English: intermediate


Monitor and troubleshoot physical, virtual and network infrastructures. Installation/troubleshoot Linux Desktop/Servers, Windows Desktop/Servers, MacOS. Implementation of technical solutions for the organization of distributed secure networks. Manage CitrixXen hypervisors. Support users workstations and laptops based on Windows, Mac OSX, Ubuntu.
Write automation tests on Python(pytest) using the existing framework and product API.
Write Terraform script for deployment product to Azure with post-deployment action according to the working tasks.
Position: DevOps (cloud) engineer
Category: DevOps
Experience: 0 years | English: pre


Now I work as a system administrator at a grain terminal in a seaport.
Total experience in the position for more than 10 years.
A highly-motivated student with a passion for learning everything new.
Position: DevOps / Cloud engineer
Category: DevOps
Experience: 1 years | English: upper


Started to work as a system administrator in University, continued as a small office Administrator. At the same time started to use various Linux distributives.
The last two years worked on manager's positions and pumped up skills during leisure time.
Passioned by AWS, started learning Java this fall.
Interesting tasks and everyday learning.
Clouds, virtualization MAX
Position: DevOps Cloud engineer
Category: DevOps
Experience: 8 years | English: upper


Hello. I'm Devops Engineer with Site reability engineering/ infrastructure building background
I worked with such domains as Healthcare / MedTech, Blockchain / Crypto and  Fintech 

2013 - 2017 years I worked on a startup custom access control and management systems, I held the position of Sys Admin, there were tasks to set up well, administer the connection of ip cameras and set up remote control for recording to the test server and maintaining statistics work with tcp / ip protocols
also administration of user accounts, work with accounts, work with bitbucket and google cloud

2017 - 2019 (Blockchain product) had experience in commercial development, the tasks were related to setting up and maintaining AWS servers, namely: remotely raise a VM, deploy an OS, launch trading terminals, connect statistics and automate the update process, set up data recording, similar tasks were to set up, launch and maintain trading bots in the crypto market. I worked with Docker and GitHub Action, Kubernetes in my area of ​​​​responsibility there were 5 such servers, I also performed parallel maintenance of a data center consisting of 10 physical servers, I assembled this data center, configured and launched, it was necessary to remotely maintain, launch and update, carry out those works, merge data, do code refactoring. activity was related to the POW blockchain.
2020 - 2022 work w NDA (Blockchain projects)

Technical stack: Docker Swarm, Bash, K8S, AWS, ECR, EC2, VPC, IAM, EKS, Codepipeline, ECS, FARGATE, CLOUDFORMATION, Elastik beanstalk, RDS, Dynamo DB, GCP, VM, GIT, MySQL, PostgreSQL, Jenkins, Groove, Git, Terraform Docker, Rust, Solidity, JS (React, Vue), Python. 

Management: Jira, Trello, Notion, Utrack, Airtable, Monday. Documentations: Confluence, Google Documents, MS.
Position: DevOps, Cloud Engineer
Category: DevOps
Experience: 9 years | English: upper

— Monolith to Microservices transition

— DevOps methodology implementation

— OpenStack and NAS(Ceph) cluster deployment to multiple data centers

— Project team leading

— Rapid technology understanding and minimum viable solution achievement
DevOps:

— DevOps Team Leading

— Release Engineering

— Container deployment and orchestration

— CI/CD flow organization and optimization

— Migration to the IaC

— Infrastructure & Service Monitoring

— Incident Management

Service Provider SRE & Chief R&D specialist:

— OpenStack cluster and SANs deployment in several datacenters

— OpenStack components development/expertise/customization/support

— Public Cloud diagnostics, troubleshooting, optimization

— Hosting-provider products and tools design/development/support

— Project team managing

— Cloud service promotion
I want to find a job where I can stay a long time to give benefit in the medium term.
Product companies are the priority.
Position: DevOps, Cloud Engineer
Category: DevOps
Experience: 6 years | English: upper

CERTIFICATES
•	2022 - Google: Professional Cloud Security Engineer
•	2019 - Google: Professional Cloud Network Engineer
•	2019 - Google: Professional Cloud Architect
On-prem to cloud migration,
Cloud to Cloud migration, 
monolith to microservices migration, 
moving infrastructure to IaC patterns, 
developing infrastructure from sreatch,
configuring cloud kubernetes, VMs, networks, storages etc
Lead Devops Engineer,
Lead Cloud Engineer, 
Cloud Architect
Position: DevOps/Cloud Engineer
Category: DevOps
Experience: 2.5 years | English: upper

Switch role from infra guy to Cloud Engineer within 5-10 month hard self education.
Setup internal CI/CD process for Terraform code; 
Improve project helm templates for company product.
Approx 30% cost optimization on each new project recently after infra review;
Cloud Engineer for US based company. Now with 5 different project E-commerce, 2 of them based on AWS 1 on GCP and 2 on Azure.
IaC - Terraform; K8s managed services: EKS and AKS as backend for application + on additional project SAP infrastructure for HANA support; ; Also Hybris as platform for stores. 
Responsibility:
- Design and create infrastructure from scratch, using Terraform;
- Setup CI/CD process; 
- Setup basic monitoring and alerting;
- Troubleshooting and problem solving on daily basis
Develop current skills, receive new ones and have fun from work)
Position: DevOps/Cloud Engineer
Category: DevOps
Experience: 1.5 years | English: upper


DevOps implementation using Terraform, AWS Cloud, CI/CD, Git, 
Kubernetes/helm, Docker. Configuring Jenkins, database administrating (PostgreSQL), writing technical documentation.
Position: Devops, Cloud Engineer, System Engineer
Category: DevOps
Experience: 10 years | English: intermediate

1. Successfully led the migration of critical services to a cloud-based architecture, leveraging AWS technologies and Terraform for infrastructure as code. This initiative resulted in a 40% reduction in operational costs and improved scalability.

2. Implemented a robust CI/CD pipeline using Jenkins, allowing for automated testing, deployment, and monitoring of applications. This streamlined workflow led to a 50% decrease in time-to-deployment and improved overall software quality.
3. Spearheaded the implementation of a comprehensive cybersecurity strategy, including advanced firewall configurations and regular vulnerability assessments. This effort led to a 60% decrease in security incidents and ensured data protection.
4.Conducted a thorough performance analysis of the server infrastructure, identifying and resolving bottlenecks. As a result, application response times improved by 25% and system uptime reached an all-time high.
5.Facilitated effective collaboration between development and operations teams, resulting in a 30% reduction in feature delivery times and increased alignment between business goals and technical implementation.
6. Designed and executed a robust disaster recovery plan using Veeam Backup & Replication, ensuring business continuity in the event of system failures. This effort reduced recovery time by 40% and minimized data loss risks.
Experienced Infrastructure Engineer with (8 years) and DevOps specialist with (1 years) in IT. Adept at architecting systems, optimizing performance, and driving automation. Proficient in cloud tech, CI/CD, and infrastructure as code. Passionate about innovation and fostering cross-functional synergy to empower organizations in the digital age.
I actively steer away from roles confined to routine tasks, seeking positions that empower me to explore fresh solutions and innovative approaches.
Position: DevOps / Cloud / Infrastructure Engineer
Category: DevOps
Experience: 6 years | English: upper

I have implemented DevOps practices on various projects. These are Infrastructure-as-Code, CI/CD, management of dynamic test environment, etc.
Worked on migration services to Kubernetes.
Built monitoring/logging solutions from scratch.
Implementing DevOps practices to improve product delivery and infrastructure management.

Cloud: AWS (EC2, RDS, ECS, EKS, ECS, Route53, writing Lambdas, IAM, CloudWatch, S3)

Containerization, orchestration: Docker, Kubernetes, writing Helm charts, writing pipelines for CI/CD
to Kubernetes, writing Dockerfiles, migration microservices to Kubernetes

Infrastructure/configuration management: Terraform, Packer, Ansible

Monitoring/logging: Prometheus, Grafana, Elasticsearch/Kibana, Loki

CI/CD: Writing pipelines for Jenkins, GitLab CI, BitBucket CI, AWS CodeBuild/CodeDeploy/CodePipeline

Development: Python, Go basics, Groovy (Jenkins pipelines), Bash scripting

Misc: Linux (RHEL/Debian), MySQL, Apache, Nginx, Git, VPN, high-loaded systems, SIP/VoIP technologies,
Networking/routing, SIP/VoIP, various network equipment. Strong troubleshooting skills
Position: DevOps/CloudOPS engineer
Category: DevOps
Experience: 2 years | English: intermediate


---
Experience with concepts / tools / skills:
OS:  Ubuntu / CentOS / Win10 (working env)
Networking:  LB's(L4,7) / FW rules / Bind DNS / Imperva
Bash:  Simple and medium automation scripts.
Python:  Simple test apps, automation.
Git:  GitHub
Automation tools:  Ansible, Ansible roles.
CI/CD tools:  Jenkins, Jenkins CJOC, Jenkins shared libs.
IAC:  Terraform, TF modules.
Cloud Providers:  GCP, and AWS (certs, labs)
PaaS:  Pivotal cloud foundry(PCF), GCP Anthos.
Monitoring:  ELK
Message Brokers:  Kafka
DB's:  MySQL, PostgreSQL, Redis.
Containers:  Docker.
------------------------------------------------

Working experience by processes:
- Maintenance of existing infrastructure on GCP Cloud
- Support for project resources and applications on GCP and PCF

- Deploy infrastructure with TF based on modules.
- Post-configuration with Ansible roles
- Configuring of Jenkins pipelines

- Application deployment in PCF
- Configuring manifests for PCF deployment purposes

- Creating Bash scripts for automation purposes
- Creating simple Python apps for testing purposes

- Troubleshooting:
OS processes, basic Linux configuration
Nginx configuration
Jenkins pipelines
TF infrastructure code
PCF app deploying
DNS (Imperva)
GCP resources, conflicts
VPCs, FW rules, LB's
Test apps, automation scripts

- Database support and operations
- DB routine processes, and DB service configuration queries.

- Creating project documentation: Confluence.
- JIRA/Zoom/Slack communication in team
--------------------------------------------------------------

Hands-on experience by tools and concepts:
Containers:  K8s, K3s, Helm.
Monitoring: Prometheus, Grafana.
Cloud Providers:  AWS
Git:  GitLab
---------------------------------------------------------------

Hands-on experience by processes:
- Creating testing/labs infrastructure in AWS:
    EC2, S3, Route53, ECS, EKS, CloudFront.
- Creating testing/labs k8s clusters, configuring, deploying test apps, installing helm charts, monitoring with Prometheus/Grafana
---------------------------------------------------------------

Certifications: GCP:ACE, GCP:PCA, TF:A, k8s:CKA.
---------------------------------------------------------------
Position: DevOps, Cloud, SRE
Category: DevOps
Experience: 2 years | English: fluent


Work Experience
Quantori - August 2022 – Present
Project: Developing an open-source platform to manage educational activities, trainings and exams
Position: DevOps Engineer
Tasks and Achievements: 
	Build and manage BitBucket CI/CD pipelines
	Write Terraform modules to automate the infrastructure creation process




	Automate processes and implementation of infrastructure-as-code IAC sing terraform.
	Expert assessment and analysis of existing infrastructure
	Monitoring, troubleshooting system performance, availability, costs using aws monitoring and logging tools.
	Manage AWS EKS (a Kubernetes service), perform deployments and services for backend, frontend, databases
	Manage AWS infrastructure
Environment: BitBucket CI/CD, Terraform, AWS EKS, AWS, MYSQL.
 
Project: Developing a platform to manage online library, book selling, uploading and dowloading books and other scientific studies.
Position: DevOps Engineer
Tasks and Achievements: 
	Build and manage BitBucket CI/CD pipelines
	Work on Ubuntu and centos servers, Do networking
	 deployments on servers, using tomcat, apache
	Manage Docker containers and nginx.
	Participation in architecture development, deployment automation and project maintenance
	Deploying mailservers, postfix and mailutils.
	
Environment: BitBucket CI/CD, Ubuntu, centos, Apache, nginx. 

  
TBC BANK –DevOps Engineer- September 2021 – June 2022
Project: Deploying a new test Openshift cluster and all dependencies 
Position: DevOps Engineer
Tasks and Achievemen
Position: DevOps/Cloud/SRE
Category: DevOps
Experience: 11 years | English: upper

1. Achieved a high level of understanding of AWS Cloud and tools for working with it (boto3, terraform).
2. I had a chance to work on large Enterprise projects with a high level of process building.
Skilled DevOps Engineer with over 10 years of hands-on experience in building, automating, and supporting solutions based on Linux/Unix platform in a cloud (AWS), experience on server infrastructure migration, monitoring, securing and Linux Server setup/administration, leveraging configuration management, CI/CD, and DevOps processes. Proficient with Configuration Management tools. Analytical and detail-oriented.
It would be nice to work on a project from scratch.
Position: DevOps Consultant
Category: DevOps
Experience: 11 years | English: upper

Instead of empty words:
jenkinsci/confluence-publisher-plugin
mslipets/my-bloody-sonar
ABOUT ME:
Senior-level professional with strong technical skills and more than 14 years of experience on different positions in IT from Automation testing engineer to DevOps engineer. This extensive involvement provided me with great skill set and advanced knowledge in different areas of software engineering, thus gave me great understanding how to bring the best business value for customers and deliver secure, scalable, robust and cost effective solutions.
I have extensive experience with the most used cloud technologies. Moreover, I am strong technical specialist in a wide technology scope, like databases, business applications, workflows, reporting, and other. All of this helps me to find the most effective way to achieve best results, transform ideas and plans into working solutions.
NOTES FOR RECRUITERS:
ᵣussians - GFY! (same for ᵣusian speakers whoever you are)
I am never interested in Contract positions, or HF Trading, Gambling and almost all Finance opportunities.
 Not interested in large outsourcing giants that prevailing by quantity not by quality .. been there, knows this shit. ..
 If you are contacting me about an opportunity, please name your client.

ABOUT MY PREFERRED JOBS:
 I prefer remote-first environments.
 Work hours should be slightly flexible within some defined parameters. I don't want a contract that says "the work day starts at 08:30 on the dot"
Position: DevOps, Cybersecurity
Category: DevOps
Experience: 1.5 years | English: intermediate


– Cyclic, active and passive monitoring of hosts / services by Nagios system. Setting up active and passive monitoring. Responding and remotely removing critical and warning messages in Nagios. Working with the traffic control system - adding hosts and ports to monitoring;
– Created flowcharts, diagrams and other documentation;
– Virtualization: installation and configuration based on Linux and Windows;
– Maintenance of networks based on managed switches and PON-technology; Setup and maintenance of Dlink, Huawei and Cisco managed switches;
– LAN, WAN settings;
– Hardware and software work with servers. Server settings and support;
– Advising users by phone. Identify and eliminate problems as much as possible.
I do not consider jobs with night shifts.
Position: Devops/Dataops
Category: DevOps
Experience: 9 years | English: upper


Advanced DevOps Engineer With Python Experience specialized in crafting and maintaining AWS-based cloud infrastructure. Proficient in Python, Bash, and automation tools like Ansible and Terraform.

My core competencies encompass architecting seamless continuous integration, delivery, and deployment pipelines using Gitlab CI/CD, Jenkins, Git, Docker, Vagrant, Argo CD/CD, and AWS/EC2.

Additionally, I excel in big data tools such as Apache NiFi and Apache Airflow, ensuring optimal efficiency in designing, implementing, and managing complex data workflows. My expertise extends to AWS Glue and Datalake technologies, enabling streamlined and efficient data management.

    Strong understanding of DevOps principles and methodologies.
    Strong experience with Python
    Proficiency in cloud infrastructure management using AWS.
    Proficient in Apache NiFi and Apache Airflow, adept at designing, implementing, and managing complex data workflows for optimal efficiency.
    Experience in configuration management using Ansible,Terraform,Terragrunt.
    Working knowledge of Kubernetes and Docker containerization.
    Expertise in Continuous Integration/Deployment (CI/CD) using Jenkins and ARGO CI.
    Familiarity with scripting languages such as Python, Bash.
Position: DevOps / Data Scientist
Category: DevOps
Experience: 2.5 years | English: upper

I was part of two strong R&D teams being able to explore the latest research findings, experiment and implement both classic and state-of-the-art approaches.

Some facts about me:
• familiar with IaC tools (Terraform, Ansible), containerization and orchestration (Docker, Kubernetes, Helm), CI/CD (Jenkins) and cloud providers (AWS)
• have a nice understanding of machine learning & deep learning concepts and algorithms
• experience in Computer Vision projects
• are curious, have empathy, strong research skills, and love generating ideas
• have an ability to implement new ideas by finding simple and accurate problem solutions
• have experience with ML-related libraries and frameworks (PyTorch, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV etc.)
• have a degree in Engineering field
• continuous education
• experience successfully handling a few simultaneous projects
• experience in R&D projects

In addition, I've gained a wide experience in  Structural Engineering having a lot of responsibility, including 2 years of remote work directly for one of the largest British steelwork factory using cutting-edge BIM technology and a kind-of 3D parametric design. 
Moreover, there I was able to coordinate the work and solve issues with guys in the factory and managers on site, as well as promote the interests of the company on the meetings with the representatives of the main contractor and other subcontractors.
I was involved in the bunch of projects (9 projects in total) being able to: 
• read white papers, explore state-of-the-art technology, and then apply it in quick prototypes
• conduct research and build models in different fields of ML
• participate in team brainstorming sessions to help validate business ideas at an early stage
• collect, transform, and preprocess raw data to prepare it for modeling
• design, develop, train, and test models and algorithms
Briefly, I'm looking for a great team and challenging projects in DevOps field to grow together in the long run, focusing firstly on Cloud stuff. 

Interested in learning: Cloud-, DevOps-, DevSecOps-, SRE-, DataOps- and MLOps-related technologies.
Position: DevOps, Developer
Category: DevOps
Experience: 2 years | English: upper

1. Deploying K8S production cluster on AWS
2. Installation, managing and support services on production K8S cluster.
Almost 10 years of experience in Telecom as support and integration engineer. 
Last 2 years I'm working as DevOps engineer. Creating and supporting CI/CD pipelines, manage PAAS and all infrustructure. Have some experience in Python and Golang. Deploy Kafka cluster  and other services on K8s. Passed AWS associate developer certification.
Would love to join to interesting project as a DevOps, or developer to maintain, create some apps on Python, Golang with using of new opensource technologies and products.