Position: DevOps Software Development Lead/SRE/Architect
Category: DevOps
English level: fluent
Years of experience: 11


Following are the last two projects. Can't leave more here due to the character limit.
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Project: Data Platform
Project Description: DevOps engineer in Data Platform team
Customer: US/European company
Involvement Duration: November 2021
Role in a Project: Senior Software Engineer, DevOps
Responsibilities:
- Design and implement self-healing, auto-scaling, and self-documenting infrastructure supporting Big Data Platform;
- Collaborate with cross-functional teams of developers, QA, and operations to accomplish objectives;
- Low-level systems debugging, performance measurement & optimization on large production clusters;
- Participate in architecture discussions, influence product roadmap, and support new projects;
- Maintain and support existing platforms and evolve to newer technology stacks and architectures.
Project Team Size: 16-25 team members
Tools & Technologies: Azure/AD, AWS, GCP, Linux, Kubernetes, Terraform, Chef, DataDog, Git, Gitlab, Kafka,
Airflow, MLFlow, Spark, Hadoop, Apache Druid, Looker, Bash, Python, Go, Java, JavaScript, and many many more
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Project: Data Science Platform
Project Description: Setting up data science platform solution based on Kubernetes on Azure Cloud
Customer: US/European company
Involvement Duration: 2,5 years
Role in a Project: DevOps Tech Lead
Responsibilities:
- Provide design enhancements;
- Supplement automation architecture for covering missed parts of the initial design;
- Develop and provide a development roadmap and effort estimation;
- Develop missed parts (monitoring, authorization configuration, Certificate
configuration, Autoscaling, AutoDeployments, RBAC, CI) in Infrastructure and Configuration automation;
- Working closely with architects and developers on the client side, for a fully functional deploy pipeline and easy usage of final solution;
- Providing recommendations for improvement in order to achieve better maintainability, security, cost-effectiveness, and availability;
- Update supplemental documentation;
- Support Development Teams.
Project Team Size: 3-5 team members
Tools & Technologies: Azure/AKS, Linux, Terraform, Prometheus, Grafana, Git, Github Actions, Bash, Python, Go, Kubeflow, Istio, ArgoCD, VictoriaMetrics, and many-many more