Site Reliability Engineer, Databento

Salary not provided

Docker

Kubernetes

Python

Linux

Terraform

Ansible

Prometheus

Logstash

loki

DevOps

Mid and Senior level

New York

San Francisco Bay Area

Remote from Canada, Europe, UK, US

More information about location

Pay-as-you-go system for financial data

Open for applications

Pay-as-you-go system for financial data

21-100 employees

FintechB2BSaaSData Sharing

Open for applications

Salary not provided

Docker

Kubernetes

Python

Linux

Terraform

Ansible

Prometheus

Logstash

loki

DevOps

Mid and Senior level

New York

San Francisco Bay Area

Remote from Canada, Europe, UK, US

More information about location

21-100 employees

FintechB2BSaaSData Sharing

Company mission

Building the next generation data platform to power the world's largest institutions - starting with the radical idea that you should only pay for market data on a metered, pay-as-you-go basis.

Job

Company

Role

Who you are

Full-time experience in SRE, DevOps, or backend engineering, preferably at a trading firm, tech company, or high-growth startup
Hands-on experience with observability tooling for logging, metrics, and tracing (e.g. Prometheus, OpenTelemetry, VictoriaMetrics, Jaeger, Logstash, Loki, Vector)
Experience with containerization and high availability deployment (e.g. Docker, Podman, Docker Compose, Docker Swarm, Kubernetes, k3s)
Strong proficiency in Python, including application development and performance optimization
Comfortable with Linux debugging and profiling tools such as strace, perf, eBPF, ss, and gdb
A track record of measurable impact in a recent role, such as improving performance by X%, speeding something up Nx, or saving $Y per year
Experience with alerting and incident response best practices is a plus
Familiarity with configuration management or infrastructure-as-code tools (Ansible, Terraform) is also helpful
Bonus if you've done HTTP benchmarking, load testing, and capacity planning
Database schema design and query optimization skills are nice to have
Good communication skills and work ethic for a remote workplace
An interest in financial data or algorithmic trading

What the job involves

We're looking for a midlevel or senior IC to join our Backend Engineering team as a Site Reliability Engineer. You'll own the uptime, performance, and observability of our platform, and help set the standard for how the rest of engineering builds, ships, and monitors software
The range of problems is wide. You'll work on petabyte-scale data processing, SaaS problems like customer management and billing, and the query systems that power our APIs. Unlike most finance firms, we're open about our tech and how we build it
Own uptime, SLAs, and SLOs across our API and platform services
Set reliability and operational best practices for other developers without slowing them down
Build and maintain observability across logging, metrics, and tracing
Design and run high-availability deployment and containerization strategies
Profile and optimize Python applications for throughput, latency, and cost
Debug production issues down to the OS level using tools like strace, perf, eBPF, ss, and gdb
Improve deployment and CI/CD workflows
Join the on-call rotation, lead incident response, and run post-incident reviews
Find what needs fixing on your own, then take projects from idea to completion

Our take

Despite the exponential growth of data within fintech, the majority of financial data providers continue to provide inconvenient services, with high licensing fees, slow infrastructure, and difficult onboarding processes. Furthermore, taking a new dataset to production requires high cost commitment and a large lead time, which can be difficult to manage.

Databento aims to democratise the financial industry and transform the way businesses use data platforms. It sets itself apart by eliminating all expensive up-front costs so that businesses only pay for market data as and when they use it. In doing so, they fit any company's budget and needs, no matter the size of the business.

2024's Series A funding round is being used by Databento to fuel its product enhancements such as a data history extension and a new flexible pricing plan. It is also putting the foundations in place to expand its European marketplace share.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Oct 2024

$10m

SERIES A

Dec 2022

$31.8m

EARLY VC

Total funding: $66.1m

Company benefits

401k
Health and dental insurance
Unlimited PTO

Company HQ

Rio Grande, Salt Lake City, UT

Leadership

Christina Qi

(CEO)

Visiting lecturer at MIT and Harvard Business School, board member at MIT and Financial Executives Alliance. Founding partner at Domeyard.

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