Senior Site Reliability Engineer (Remote)

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About Anomalo
 
Much like software before it, data is the next competitive battleground for modern enterprises. As a result, more and more companies are rushing to stand up their data stack and become data-powered organizations.
 
But every data-powered company quickly encounters one unfortunate fact: much of their data is missing, stale, corrupt, or prone to unexpected and unwelcome changes. Because of this, companies spend more time dealing with issues in their data rather than unlocking that data's value. 
 
Anomalo addresses this problem by adding a new layer to the Modern Data Stack: a Data Quality Platform that monitors enterprise data to automatically detect and root-cause any data issues, thus allowing teams to resolve any hiccups with their data before making decisions, running operations, or powering models.
 
We help companies trust the data they use to make decisions and build products.
 
We work with some of the biggest brands like BuzzFeed, Discover Financial Services, and Substack. We're raised over $39m in seed and Series A funding backed by top-tier venture firms like Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, and First Round Capital. We are building the platform that data-driven companies need to stay data-driven, and would love to have you join us for the ride!
What you'll do at Anomalo:
  • Setup, maintain and improve multiple cloud-hosted environments including our production instance and internal staging & testing deployments
  • Ensure our systems meet availability, security, and disaster recoverability requirements, including SOC 2 compliance
  • Operate and support internal infrastructure and tools used by our engineering team including CI/CD systems
  • Implement observability/monitoring/logging and champion best practices across the entire Engineering team
  • Build and support deployment tooling that our sales and implementation engineers will use
  • Work with our customers to configure and deploy Anomalo into their VPCs
What you'll bring to the team:
  • 5+ years in an SRE or Cloud Engineering role
  • Solid understanding of AWS, GCP and/or Azure
  • An understanding of core Linux, systems and network fundamentals
  • Knowledge of and experience with modern practices for Docker and Kubernetes
  • Experience operating the infrastructure for SaaS applications and related elements (databases, caches, load balancers, etc)
  • Excellent troubleshooting abilities and approaches
  • Excellent communication skills and ability to work directly with SaaS customers
Ideal candidates will also have:
  • Experience with Python beyond basic scripting
  • Experience with SOC2 and security processes
  • Prior experience working with machine learning/data science teams and complex ML pipelines
Perks of working with us
 
👩‍💻  We were fully remote before it was a thing, your best work happens on your schedule
✈️  Unlimited vacation that we encourage you to take
🩹  Top of the line family-friendly medical, dental, and vision insurance plans
🍼  16 weeks paid maternity/paternity leave because family comes first
🔍  A radically open and transparent culture that supports autonomy and growth
💸  Meaningful employee equity packages plus life insurance and a 401k plan
🖥️  All new top-of-the-line laptops, monitors, and peripherals for doing your best work
 
What we value
 
Rational Optimism - We rely on each other to make principled decisions backed by data and logic
For & By All - Diverse, inclusive teams build better products that represent the needs of our customers
Own It - We champion ownership, and we take accountability for our work
Opacity Zero - Transparency enables our autonomous and fact-driven culture
Outcomes > Hours - People should work when and where they will be most productive
YOLO - Life's too short not to have fun at work
More Information on Gray Scalable
Gray Scalable operates in the HR Tech industry. The company is located in Broadway, NY. Gray Scalable was founded in 2012. It has 46 total employees. To see all 31 open jobs at Gray Scalable, click here.
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