Mark K.
About Mark K.
Mark K. is a Production Engineer at Placer.ai, where he has worked since 2023. He has extensive experience in DevOps and cloud infrastructure management, having held various engineering roles at notable companies over the past several years.
Work at Placer.ai
Mark K. has been employed at Placer.ai as a Production Engineer since 2023. In this role, he is responsible for overseeing production processes and ensuring the efficiency of operations. His expertise in DevOps practices contributes to the company's ability to deliver data-driven insights effectively.
Previous Experience in DevOps Engineering
Prior to his current position, Mark K. held several roles in DevOps engineering. He worked as a Senior DevOps Engineer at Celsius for six months in 2022 and at Fireblocks for eight months from 2022 to 2023. Additionally, he served as a Senior DevOps Engineer at Tikal - Fullstack as a Service from 2018 to 2022, and as a DevOps Engineer at IBM from 2016 to 2018.
Education and Expertise
Mark K. earned a Bachelor's degree in Computer Science from The Open University of Israel, completing his studies from 2003 to 2007. He possesses advanced skills in container orchestration using Kubernetes and Helm, and is proficient in automating infrastructure with Terraform and Ansible. His expertise also includes implementing GitOps practices with ArgoCD.
Technical Skills and Tools
Mark K. has extensive experience in managing cloud infrastructure across AWS, GCP, and Azure. He is skilled in monitoring and logging with Prometheus and the ELK stack, and has experience with data processing tools such as Kafka and Airflow. Additionally, he is proficient in database management with Snowflake and Postgres, and knowledgeable in service mesh technologies like Istio, Linkerd, and Envoy.
Scripting and CI/CD Expertise
Mark K. has a strong background in scripting languages, including Bash, Python, and Golang. He is also skilled in setting up CI/CD pipelines using Jenkins, which enhances the efficiency of software development and deployment processes.