We have an immediate need for a Site Reliability Engineer who can architect and deploy our warehouse on AWS.

What You'll Do:

• Design, deploy, and manage our cloud-based data warehouse infrastructure.
• Lead containerization of our data science pipeline processes.
• Mentor other engineers and work with existing developers as we continue to grow our team.
• Help out in building the core data & analytics infrastructure for our data science team, including adding new technologies as appropriate.
• Architect, develop, and deploy internal process improvements including automating manual processes, optimizing data delivery, and scaling our infrastructure.
• Develop effective tooling, alerts, and response to both identify and address reliability risks.
• Establish & improve monitoring for the data pipeline reliability.
• Deliver periodic tech talks to the scorpion internal audience covering cloud based data pipeline specific topics.
• Create analytics tools to utilize data pipeline to provide valuable insights into major key performance metrics.
• Work alongside stakeholders including Executive, Product, and Data Science teams to solve technical issues and support data infrastructure requirements.
• Develop tools for analytics and data scientist team members that assist them in building and optimizing Scorpion Advertizing Machine into the industry leader.

Pay: Salary + Bonuses

Experience:

• ?3+ years of experience in collaborating closely with a development team.
• Ability to perform root cause analysis on stability and performance related events.
• Familiarity with continuous integration and continuous deployment systems
• Significant knowledge and experience with version control systems and Git
• Experience with container technologies and scheduling
• Experience with writing code around infrastructure automation
• Competency with S3, Redis, Amazon Redshift, Columnar DBs
• Demonstrated experience in deploying, managing, and operating scalable and fault-tolerant Linux/JVM-based infrastructure in AWS (or another public cloud).

Skills:

• AWS
• Docker
• Python and/or Bash
• Proficiency with SQL (MS SQL) and such scripting languages as Shell, Python, Ruby, or Perl.
• Solid computer science fundamentals such as data structures, software design, data warehousing concepts.