Roles:
Must-have skills:
One of skills:
Considering candidates from:
Central Asia, South Caucasus, Belarus, Moldova, Russia and Ukraine
Central Asia, South Caucasus, Belarus, Moldova, Russia and Ukraine
Work arrangement: Onsite or remote
Industry: Automation Machinery Manufacturing
Language: English, Russian
Level: Middle or senior
Required experience: 2+ years
Relocation: Paid
Visa support: Provided
Size: 51 - 200 employees
Company
UK-based technology company focused on research in AI and the development of its proprietary machine learning technologies and software products for industries. It's software helps industrial companies address the following tasks: predictive maintenance, quality control, and industrial processes optimization. Its software is based on its own machine learning technologies for industrial time series analysis.
Description
Right now the company is looking for a talented Integrations Engineer to join the team.
Tasks:
Tasks:
- Deploying and configuring a multi-tenant Kubernetes-based application
- Participation in testing and commissioning of the systems
- Advising customers’ specialists during the project implementation process
- Writing instructions and regulations, taking part in team trainings
- Monitoring, troubleshooting, analyzing technical problems
Must-have:
- Unix/Linux administration experience
- Experience deploying and maintaining a Kubernetes cluster (Helm, Docker)
- Experience with PostgreSQL
- Experience with any of the scripting languages (Python, Go)
- Understanding of TCP/IP, HTTP(HTTPS), SSL/TLS principles
Nice-to-have:
- Knowledge of MS AD at the data schema level and the principles of building LDAP queries to implement integration tasks
- Experience with Clickhouse, Apache Kafka, Zookeeper
- Experience with Prometheus, Grafana
- CKA certificate (Certified Kubernetes Administrator (CKA)
- English – upper-intermediate/advanced
Benefits and conditions:
- Trial period: 6 months
- 13th salary
- Relocation possibilities or a chance to work fully remotely
- Work with a globally leading machine learning team
- Balanced schedule home-office/company office
- Attractive equity package as an early employee
Interview process:
- Intro call with Toughbyte
- First interview: discussing the candidate’s background and some hands-on questions about their experience (1 hour)
- Tech interview (1.5 hours) with the tech team
- Final 15-minutes round with the CEO