SRE Specialist for ML / BI Infrastructure (#1000)

Описание

Location: Remote (Ukraine)

Your expertise:

• DevOps / SRE Experience: Minimum of 2 years in a DevOps or SRE role
• Experience with one or more programming languages like Python, Java, or Go
• Experience with Cloud-Based Infrastructure (AWS, GCP, Azure)
• Experience with CI / CD
• Proficiency in Linux / Unix Administration
• Proficiency in Containerization and Orchestration Tools (Docker, Kubernetes)
• Proficiency in Tools for Infrastructure Automation (Terraform, Ansible, Puppet, Chef)
• Understanding of Network Protocols and Services (TCP / IP, HTTP, DNS, etc.)
• Experience in Performance Tuning and Optimization
• Good Analytical and Technical Troubleshooting Skills
• Understanding of Web Technologies (REST, Cloud-Based Applications)
• Proficient Understanding of Git
• Hands-on experience with CI / CD processes, particularly building and maintaining Jenkins pipelines

Will definitely be a plus:

• Experience with Big Data Technologies like Apache Hadoop, Spark, or Kafka
• Understanding of Data Warehousing Solutions (Google BigQuery, Amazon Redshift, Snowflake)
• Knowledge of Data Processing Pipelines and ETL Processes
• Understanding of service level indicators (SLIs), objectives (SLOs), and agreements (SLAs)
• Experience with Logging and Management Systems (AWS Cloudwatch, ELK)
• Understanding of Monitoring Principles and Tools (NewRelic, Zabbix, Prometheus, Grafana)
• Skills in High Availability and Disaster Recovery Strategies
• Knowledge of System Security, Backup, and Recovery Processes

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• “You build it, you own it” mentality in most contexts
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • truly flexible schedule, no time-tracking at all
  • 25 working days of vacation
  • 5 days of paid sick leave per month (if necessary) without providing a medical certificate
  • generous maternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into: 

• Support reliability of sites and services in tandem with team members and other teams
• Help BI and ML teams to support software and services in dev and production environment
• Improve security and reliability of services, count capacity before high load periods
• Manage incidents and requests from on-duty staff and other teams
• Document all changes in the company wiki and help the team to avoid repetitive tasks
• Design and improve the methodology of work in a team and help team members to do their best
• Make presentations for best practices for other teams and help other teams to do their work in the best way