US product company accelerates enterprise growth through the power of AI. Some of the world’s best brands are leveraging to transform their business, including Lyft, New Relic, Okta, Tanium, and Zoom.

Responsibilities
- Take ownership of Kafka clusters, review the current implementation, and work to implement and automate best practices across all teams and further improve observability and monitoring of the clusters;

- Evaluate alternatives to Databricks for running spark jobs and notebooks. Ideally, the alternative environment should run jobs on top of Kubernetes and should include logging, monitoring, and observability;

- Review Hive Metastore and data lake implementation and evangelize best practices and work to improve the performance of the environment in the company;

- Support all teams in the adoption of Kafka and streaming stack as the company makes a big push from batch processing to streaming;

- Standardize implementation of RDS Postgres through best practices, and improving availability, reliability, and visibility of the environment.

Requirements
- Demonstrated focus on automation;

- Proven track record of partnering with different engineering teams and completing company-wide initiatives in areas such as automation, security, migrations, and monitoring;

- Deep systems engineering and computer architecture background (e.g. Operating Systems and Networking);

- Big data stack, such as Kafka, Hive, Data warehouses, Hadoop (Cloudera, EMR) deployed in AWS, ElasticSearch;

- Use of Terraform and Ansible to automate resources in the public cloud;

- Implementation of monitoring and observability in the stack;

Nice to have
- Experience in managing and performance tuning of Postgres instances.

About Alcor

Your own R&D center from scratch fully backed by our back-office services (Real Estate, RPO, Accounting & Legal, etc.).

Company website:
https://alcor-bpo.com/

DOU company page:
https://jobs.dou.ua/companies/alcor/

Job posted on 5 September 2021
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