Docker Jobs in Web3

Responsibilities

• Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation and refinement. Embed with Engineering teams to apply industry best practices.
• Build and manage systems, infrastructure and applications through automation
• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity
• Practice sustainable incident response and blameless postmortems
• Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents

Minimum Qualification

• BS in Computer Science with 7 years+ or MS with 3 year working experience as Site Reliability Engineering (SRE)
• Experience with programming in at least one of the following languages: C, C++, Java, Python, or Go.
• Strong skills around observability, debugging and performance tuning, willing to dive into understanding, debugging, and improving any layer of the stack
• Experience in data transformation & ETL on large data sets using open technologies like Spark, SQL and Python
• Experience in infrastructure like AWS, GCP, Azure, mysql, kubernetes, Docker etc
• Deep knowledge of Linux internals and networking protocols such as TCP/IP
• Experience in advanced Data Lake, Data Warehouse concepts & Data Modeling experience (i.e. Relational, Dimensional, internet-scale logs)
• Experience with programming in at least one of the following languages: C, C++, Java, Python, or Go.
• 3+ years of complex SQL with strong knowledge of SQL optimization and understanding of logical & physical execution plans
• Networking protocols such as TCP/IP

Preferred Qualification

• Extensive experience in supporting production services
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems
• Systematic problem-solving approach, coupled with effective communication skills and a sense of drive

Base pay for this role is expected to be between $190,000 and $240,000 USD. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as skillset, experience, and qualifications.