02/08/2024 updated
100 % available
DevOps Engineer, Junior DevOps Engineer
India, India
Only remote
Artificial IntelligenceApache AirflowAmazon Web ServicesAmazon Elastic Compute CloudData AnalysisAtlassian ConfluenceAtlassian JiraMicrosoft AzureBash ShellGoogle BigQueryCloud ComputingComputer NetworksContinuous IntegrationData TransmissionsDatabase Servers
Apache Airflow, Amazon EC2, Amazon Web Services (AWS), AWS, AI, Atlassian, Autoscaling, Azure Automation, Bash/Shell, BigQuery, Bitbucket, hybrid cloud, cloud-based, Cloud, CloudWatch, Network Policies, Confluence, Confluent, CI/CD, continuous integration, data analysis, data transfer, database servers, DevOps, Docker, Dynatrace, GIT, GitHub, GitLab, GitLab CI, Google Cloud, GCP, Grafana, Jira, Jenkins, Linux, Linux servers, Load Balancers, Markup Language, microservices, Azure DevOps, Azure, network security, Nutanix, OpenID Connect, PagerDuty, performance optimization, Prometheus, SAML, Snowflake, version control, Source Code Management, high availability, system architecture, Terraform, user management, ESXi, VSphere, VMware, PowerShell
Experience
Professional experience0 - 5 years
Freelancer since2023
Languages
GermanBasic knowledgeEnglishNative speaker
Project history
* Designed and orchestrated scalable Terraform modules and configurations, fostering enhanced efficiency and
reusability across diverse projects, while upholding top-notch infrastructure management practices..
* Conducted meticulous fine-tuning and performance optimization of AWS resources and Terraform configurations,
resulting in a 15% increase in cost-efficiency and a 20% improvement in system performance through strategic
resource allocation adjustments.
* Collaborated synergistically with development teams to establish agile CI/CD pipelines, slashing code deployment
time by 30%, ensuring swift testing, and perpetuating continuous integration of application updates. Additionally,
fortified security protocols by implementing stringent compliance standards and best practices.
* Led the comprehensive migraLon of a pivotal project from GitLab to GitHub and orchestrated the strategic shic
from Google Cloud Pladorm (GCP) to Amazon Web Services (AWS), opLmizing system performance and fostering
enhanced team collaboraLon.
* Contributed to the comprehensive migraLon of the warehouse, encompassing both data and schema, from
Snowflake to BigQuery. Assisted in devising and implemenLng refined schema migraLon data transfer processes,
ensuring a seamless transiLon that improved operaLons, scalability, and performance.
* Engineered custom GitHub runners tailored to specific project needs, enhancing the automaLon capabiliLes of
GitHub AcLon workflows. This iniLaLve opLmized build processes and enabled seamless integraLon with diverse
development pipelines.
* Enacted managed idenLty and pod idenLty structures employing OIDC (OpenID Connect) protocols to reinforce
security measures for applicaLon services within pods. This strategic setup ensured forLfied authenLcaLon
protocols and meLculous access control, bolstering the overall integrity and security of deployed services.
* Directed the construcLon and deployment of Azure clusters and App Services, ensuring opLmal resource
allocaLon for seamless performance in cloud-based soluLons.
* Strategically implemented and configured SAML (Security AsserLon Markup Language) authenLcaLon protocols
across mulLple AWS accounts, establishing a unified and robust idenLty management system. Leveraged SAML to
effecLvely manage user idenLLes and access control, enhancing the security framework by enabling seamless
authenLcaLon and authorizaLon processes across diverse AWS environments. This iniLaLve forLfied the overall
security posture while ensuring streamlined and secure access control for various user groups operaLng within
separate AWS accounts.
* Integrated Amazon Cognito using mulLfaceted policies to bolster user authenLcaLon, while refining intricate user
management workflows and data synchronizaLon methods. This comprehensive approach not only heightened
security measures but also intricately enhanced user experiences, ensuring a robust and tailored authenLcaLon
system.
reusability across diverse projects, while upholding top-notch infrastructure management practices..
* Conducted meticulous fine-tuning and performance optimization of AWS resources and Terraform configurations,
resulting in a 15% increase in cost-efficiency and a 20% improvement in system performance through strategic
resource allocation adjustments.
* Collaborated synergistically with development teams to establish agile CI/CD pipelines, slashing code deployment
time by 30%, ensuring swift testing, and perpetuating continuous integration of application updates. Additionally,
fortified security protocols by implementing stringent compliance standards and best practices.
* Led the comprehensive migraLon of a pivotal project from GitLab to GitHub and orchestrated the strategic shic
from Google Cloud Pladorm (GCP) to Amazon Web Services (AWS), opLmizing system performance and fostering
enhanced team collaboraLon.
* Contributed to the comprehensive migraLon of the warehouse, encompassing both data and schema, from
Snowflake to BigQuery. Assisted in devising and implemenLng refined schema migraLon data transfer processes,
ensuring a seamless transiLon that improved operaLons, scalability, and performance.
* Engineered custom GitHub runners tailored to specific project needs, enhancing the automaLon capabiliLes of
GitHub AcLon workflows. This iniLaLve opLmized build processes and enabled seamless integraLon with diverse
development pipelines.
* Enacted managed idenLty and pod idenLty structures employing OIDC (OpenID Connect) protocols to reinforce
security measures for applicaLon services within pods. This strategic setup ensured forLfied authenLcaLon
protocols and meLculous access control, bolstering the overall integrity and security of deployed services.
* Directed the construcLon and deployment of Azure clusters and App Services, ensuring opLmal resource
allocaLon for seamless performance in cloud-based soluLons.
* Strategically implemented and configured SAML (Security AsserLon Markup Language) authenLcaLon protocols
across mulLple AWS accounts, establishing a unified and robust idenLty management system. Leveraged SAML to
effecLvely manage user idenLLes and access control, enhancing the security framework by enabling seamless
authenLcaLon and authorizaLon processes across diverse AWS environments. This iniLaLve forLfied the overall
security posture while ensuring streamlined and secure access control for various user groups operaLng within
separate AWS accounts.
* Integrated Amazon Cognito using mulLfaceted policies to bolster user authenLcaLon, while refining intricate user
management workflows and data synchronizaLon methods. This comprehensive approach not only heightened
security measures but also intricately enhanced user experiences, ensuring a robust and tailored authenLcaLon
system.
* Spearheaded the implementation of Infrastructure as Code (IaC) principles utilizing ARM templates and Terraform,
automating resource provisioning and streamlining infrastructure management for amplified efficiency and scalability.
* Managed the seamless migration of Linux and Windows VMs from one cluster to another, optimizing resource
allocation and enhancing performance within the company's infrastructure.
* Devised custom scripts employing Bash/Shell on Linux servers to automate tasks and generate bespoke reports,
elevating productivity by 30% and refining data analysis capabilities.
automating resource provisioning and streamlining infrastructure management for amplified efficiency and scalability.
* Managed the seamless migration of Linux and Windows VMs from one cluster to another, optimizing resource
allocation and enhancing performance within the company's infrastructure.
* Devised custom scripts employing Bash/Shell on Linux servers to automate tasks and generate bespoke reports,
elevating productivity by 30% and refining data analysis capabilities.