Databento

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Site Reliability Engineer

Work from home

Remote role where the employee must remain based in a particular country.

United States only

From the listing details: Residency required in United States

Employer listed it 2 weeks ago · Added 4 weeks ago

Been open since 4 weeks ago, still being checked, but it has been live a while.

Salary

$150k to $215k per year

Location

United States only

Timezone

Not stated

Contract

Full-time

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Location eligibility not confirmed
Contract: Full-time experience in SRE, DevOps, or backend engineering, preferably at a trading firm, tech company, or high-growth startup.
Experience asked for: Not mentioned in the advert
Pay: The base salary range for this role is $150,000–$215,000, benchmarked to Tier 1 locations in each country.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "Remote / San Francisco / New York / Salt Lake City"

What Nomaders makes of it

Residency required in United States
Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

“Experience with alerting and incident response best practices is a plus.”

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

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.

Responsibilities

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.

Preferred background

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.

Requirements

·Good communication skills and work ethic for a remote workplace.
·An interest in financial data or algorithmic trading.
·The base salary range for this role is $150,000–$215,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role.
·Notice about phishing scams

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at Databento, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 26d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.