SRE Specialist for ML / BI Infrastructure (#1000)

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

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

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

We are looking for an experienced SRE Specialist. In this role, you will help BI and ML teams support software and services in the dev and production environment. You will oversee the reliability, performance, and scalability of the infrastructure, ensuring seamless operations of large-scale data pipelines and platforms. You will collaborate with cross-functional teams, drive automation efforts, and deliver the best solutions.