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DatabentoSite Reliability Engineer
Databento is seeking a midlevel or senior individual contributor to join the Backend Engineering team as a Site Reliability Engineer. The company operates as a market…
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About this role
Site Reliability Engineer at Databento is a full-time role. Work arrangement: Remote. Location: Not specified. No salary is shown in this listing. It was posted on Oct 3, 2026. This listing is paused and not taking applications at the moment.
Job Description
Databento is seeking a midlevel or senior individual contributor to join the Backend Engineering team as a Site Reliability Engineer. The company operates as a market data provider catering to fintech institutions and financial firms, offering a usage-based pricing model. The platform handles large-scale data processing, SaaS customer administration, billing, and query systems that support APIs.
In this role, the successful candidate will direct the performance, observability, and uptime of the infrastructure. The position involves establishing reliability standards, optimizing Python software, troubleshooting operating system issues, and participating in the on-call rotation. The work spans diverse technical challenges, including containerization strategies, high-availability deployments, and petabyte-scale data pipelines.
This opportunity is well-suited for professionals experienced in site reliability, DevOps, or backend development who possess a strong foundation in Linux environments and Python optimization. Candidates with a background in trading firms, technology companies, or scaling startups will find the technical scope aligns with their expertise. Equal employment opportunity policies apply to all personnel actions, and accommodations are available upon request.
Responsibilities
- Manage platform uptime, service level agreements, and service level objectives across APIs and core services
- Establish operational and reliability standards for developers
- Develop and maintain monitoring systems covering metrics, logs, and traces
- Create and execute high-availability containerization and deployment strategies
- Analyze and refine Python applications to improve throughput, reduce latency, and lower costs
- Investigate production faults down to the operating system layer
- Enhance continuous integration and deployment pipelines
- Participate in the on-call schedule, manage incident response, and conduct post-incident reviews
- Identify optimization projects independently and drive them from conception to delivery
Requirements
- Full-time professional background in site reliability engineering, backend engineering, or DevOps
- Practical knowledge of observability tools for metrics, tracing, and logging
- Experience with container technology and high-availability deployment setups
- Proficiency in Python application development and performance tuning
- Familiarity with Linux profiling and debugging utilities
Qualifications
- Background working at a trading firm, technology enterprise, or scaling startup
- Demonstrated track record of measurable performance impact in previous positions
- Background in alerting and incident response procedures
- Familiarity with infrastructure-as-code or configuration management software
- Experience with capacity planning, HTTP benchmarking, and load testing
- Knowledge of database query optimization and schema design
- Interest in algorithmic trading or financial data
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this position?
The position is a full-time role.
What is the remote work policy?
The posting mentions communication skills and work ethic suitable for a remote workplace, but the job is listed with an on-site remote status.
What is the salary range for this role?
The salary is not stated in the job posting.
How can applicants ensure they are communicating with official representatives?
Official emails originate exclusively from databento.com or us.greenhouse-mail.io, and candidates should beware of phishing scams using alternate domains.
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