Data management solutions accounted for more than one-fifth of all enterprise infrastructure spend in 2021. The “modern data stack” promises a centralized data platform for powering valuable new applications, from AI-powered products to real-time analytics.
Unfortunately, a big problem stands in the way of most data projects and products – the issue of data quality. Rules-based data quality approaches that worked when data was small and tightly controlled don’t scale. And with more data sources, transformations, and users, quality issues are multiplying fast. The vast majority of issues go uncaught—until they lead to an expensive fire drill.
Anomalo is the automated AI solution that plugs directly into the modern data stack and automatically monitors tables for a wide range of data quality issues. Our software uses unsupervised learning to catch deep problems in the data, like sudden changes in the distribution, that aren’t covered by static rules or basic observability. With built-in root cause analysis, Anomalo shows not only whether data is anomalous but also why and what the impact is. This prevents data issues from reaching dashboards, reports, and products, while data teams spend less time debugging and more time building.
We’re rapidly growing and work with some of the biggest brands leveraging data today, like Block, Discover Financial Services, Buzzfeed, and Notion. The company has raised a total of $72M seed through Series B funding and is backed by top-tier venture firms like SignalFire, Norwest Venture Partners, Databricks Ventures, Foundation Capital, Two Sigma Ventures, and First Round Capital.
Anomalo is building the platform that data-driven companies need to be able to make good data-driven decisions, and would love to have you join for the ride.
As a Platform Engineer at Anomalo you’ll have an opportunity to help shape the foundational frameworks and processes that empower your colleagues to deliver value to our customers rapidly and with confidence. You’ll partner with Anomallamas in engineering, sales, product, marketing, and business operations, and leverage your creativity and empathy to help eliminate roadblocks and multiply our impact. You'll also work alongside our Sales Engineering and Customer Success teams to solve for customer constraints and requirements surrounding software delivery and operation in hosted and SaaS environments, and pave the way for deploying the Anomalo software system in enterprise environments.
If you consider yourself an avid learner, a creative problem solver, and an empathic collaborator with a passion for wrangling complexity, then we want to talk to you!
What you’ll do as a Platform Software Engineer at Anomalo: Support, maintain, and improve the tools and methods that we use to deploy and upgrade Anomalo in enterprise environments (stuff like Kubernetes, Helm, and Docker Compose); Own and operate automation to support Continuous Integration, Continuous Delivery, and quality assurance; Demonstrate, advocate, and enable best practices for security, quality, and observability throughout the software development lifecycle; Bolster our incident response capabilities through monitoring, automation, and documentation; Maintain the core systems on which the Anomalo software depends (database servers, brokers, cloud services, container platform/orchestrator), and own the libraries and primitives that product teams use to build new features; Work with customers to deploy Anomalo in enterprise environments, and develop automation, documentation, and artifacts to make Anomalo trivially easy to install; What you’ll bring to the team: 7+ years of experience working in one or a mix of Platform Engineering, DevOps, SRE, or similar roles, ideally with some experience as a Software Engineer; The ability to develop software in Python; Experience maintaining cloud networking, storage, and compute infrastructure for production systems; Experience building and deploying containers in cloud computing environments, ideally with Kubernetes; Experience using observability tools such as Sentry, DataDog, Prometheus, New Relic, or CloudWatch to monitor production systems; Foundational knowledge of distributed systems and how they break; A strong desire to engage with the business goals of a rapidly growing startup, and to partner cross functionally to achieve them; What you can expect from us: Supportive colleagues who love to learn together; A variety of challenging and rewarding projects that directly impact company goals, with a high degree of ownership; Mentorship and opportunities for career growth; What you can expect from us: Supportive colleagues who love to learn together A variety of challenging and rewarding projects that directly impact company goals, with a high degree of ownership Mentorship and opportunities for career growth Salary range: The estimated annual salary range for this role is $150-240k plus meaningful equity Travel: Planned travel once per quarter to spend time with the team is required Perks of working with us: