Senior Infrastructure Engineer, Bigeye

$190-200k

+ Equity

AWS
Docker
Kubernetes
GCP
Python
Java
Bash
Go
Terraform
Azure
Senior level
Remote in US
Bigeye

Data reliability engineering platform

Be an early applicant

Bigeye

Data reliability engineering platform

21-100 employees

B2BArtificial IntelligenceData storageSaaSData Analysis

Be an early applicant

$190-200k

+ Equity

AWS
Docker
Kubernetes
GCP
Python
Java
Bash
Go
Terraform
Azure
Senior level
Remote in US

21-100 employees

B2BArtificial IntelligenceData storageSaaSData Analysis

Company mission

To help customers make magic with data.

Role

Who you are

  • 5+ years of experience as a software engineer or as an infrastructure engineer
  • 3+ years of experience as a software developer - you’ve spent time on the “other side of the fence”
  • Experience programming in at least one of Java, Go, or Python
  • Experience working with a Service Oriented Architecture in a cloud environment
  • Experience working in AWS
  • Experience with CI/CD processes
  • Proven passion for uncovering and unraveling the real customer problems
  • Excitement about being an early team member
  • Clear and straightforward communication. We’ll be building some intricate products as a team, so clarity matters

Desirable

  • Kubernetes experience
  • GCP, Azure experience
  • AWS Networking mastery (gateways, route tables, NAT, etc)
  • Experience working with hybrid deploys
  • Experience working with modern observability tools

What the job involves

  • You’ll be joining the infra team at Bigeye, joining a powerhouse team of engineers, product managers, product designers, data scientists, and enterprise sales folks
  • You’ll help us build and deliver products that customers love using
  • Today, we’re focused on one of the most painful aspects of DataOps: observability and outages
  • Most teams still discover data outages – duplicated, missing, and unexpected data – after they impact application features, dashboards, ML models, and ultimately, their stakeholders
  • We’re building a data observability platform to monitor their data content and alert them early so they can triage and reply instantly
  • Build a deployment system that will orchestrate hybrid application deployments on our AWS cloud and customer clouds
  • Build out and maintain our CI/CD infrastructure to enable developers to collaborate and ship their code to production regularly, quickly, and dependably
  • Own the infrastructure needed to allow Bigeye to scale to meet its customer demand
  • Automate your own manual processes to allow developers to get their work on on their own without a direct dependency on the infra team
  • Design and build systems and processes to improve and track the reliability of our systems
  • Gather, assess, and create visualizations of metrics from our applications to monitor performance and identify problems
  • Participate in system design and capacity planning for our services
  • Meet directly with Bigeye’s customer base to understand their needs and enable them to use the product

Our take

Developing machine learning models entails a high degree of data quality monitoring, which can be an expensive and time-consuming process. Bigeye solves this problem by automating data quality for operations teams.

Headed up by two Uber alumni, Bigeye tells users what data quality metrics they should collect from their data. Their technology alerts operations teams to data quality and pipeline issues, saving valuable time and money. Bigeye is now used by the likes of Udacity, Instacart and SignalFire, which is testament to the effectiveness of their solutions.

Bigeye has expanded its team and the range of products it offers off the back of Series B funding. Recent products include Deltas, which allows users to automatically compare and validate datasets. This sort of product development will be an important part of the company's ongoing success.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

200% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Sep 2021

$45m

SERIES B

Apr 2021

$17m

SERIES A

Total funding: $66m

Company benefits

  • Competitive compensation
  • Health coverage
  • 401k retirement plan
  • PTO
  • Remote-first culture

Company HQ

Hillside, Daly City, CA

Leadership

Previously worked as a Data Analyst at Grooveshark, and as a Product Manager at Uber.

Previously worked as a Data Engineer at One Kings Lane, and as a Staff Engineer at Uber.

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