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.
The Work
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.
What You’ll Be Doing
- 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
We’re currently working with
- AWS CLI
- Bash
- Docker
- Cloudformation
- ECS
- Fargate
- Terraform
- Python
What You Bring
- 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.
Nice to haves
- Kubernetes experience
- GCP, Azure experience
- AWS Networking mastery (gateways, route tables, NAT, etc)
- Experience working with hybrid deploys
- Experience working with modern observability tools
Bigeye aims to treat real problems for real data teams using boring technology. Success comes from building great products that address real obstacles for customers, not from satisfying our own technical curiosities.
Compensation
- Salary range $190,000-200,000, depending on location
- Curious how we came up with this range? Ask us about our process!
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