Senior Software Engineer - Data Infrastructure

Description

The company sells object storage and computer backup products. It was founded in 2007 and grew on less than $3 million of outside funding until a traditional IPO on the Nasdaq in 2021.

Today the company brings in over $100m in revenue and stores more than three billion gigabytes for 500K+ customers in 175+ countries, including businesses, developers, IT professionals and individuals.

This role works on the data infrastructure platform behind those products, the base that every service runs on. The focus is automation, observability and stability for durability, higher throughput, and architecture changes that support the service's long-term needs.

Responsibilities

• Build automation frameworks so other engineers can provision, configure and repair fleet infrastructure on their own.
• Extend the observability stack covering metrics, logs, traces and alerts, so the team can see whether storage is healthy and where it is slipping.
• Create reports, dashboards and visuals that show engineering and leadership fleet health, capacity and operational trends.
• Build tooling that flags failing hardware, configuration drift and capacity risk before they become incidents.
• Lead design discussions and write clear design documents for changes that span several services and teams.
• Carry large features from design through rollout, including the migration and backfill work real systems need.
• Work with the on-call rotation to turn repeated toil and incident findings into automation and clearer signals.

Requirements

• 7+ years of backend development in an enterprise setting, using an object-oriented or systems language such as Java, Rust, C++, C or Go.
• Experience designing automation frameworks or platforms that other engineers build on.
• Experience building large software systems that run on thousands of servers.
• Experience building automation or tooling that engineers rely on daily, such as internal platform services, operational tooling, or a deployment and configuration pipeline.
• Working knowledge of an observability stack such as Prometheus, Grafana, OpenTelemetry, ELK, Datadog or similar, including instrumenting a service and designing alerts people trust.
• Strong Linux fundamentals and comfort working on bare-metal or hybrid environments rather than fully managed cloud.
• Professional use of AI-assisted development tools such as Gemini, Cursor or Claude Code.
• Hands-on experience with the full software lifecycle: design, implementation, testing and rollout.
• Curiosity that leads you to understand a problem before proposing a solution.
• Communicates proactively in a remote environment by keeping the team informed, raising blockers early and keeping work moving.
• Analytical approach to ambiguous problems.
• Required for all employees: a positive attitude and willingness to do whatever it takes to finish the job.
• Required for all employees: genuine interest in working at a small, fast-moving company.
• Required for all employees: willingness to keep learning and adapting as technology and the work environment change.
• Required for all employees: strict adherence to best practices.
• Required for all employees: close attention to detail.
• Required for all employees: strong interpersonal skills and clear spoken and written communication.
• Required for all employees: good at diagnosing faults and solving problems.
• Bonus: proficiency in Java.
• Bonus: experience with configuration management or infrastructure-as-code tools such as Ansible, Salt, Puppet, Chef or Terraform.
• Bonus: experience designing SLOs and error budgets, or reducing alert noise on a fleet running at scale.
• Bonus: experience with time-series databases and query languages such as PromQL.
• Bonus: experience automating hardware lifecycle work such as burn-in, failure detection, drive replacement and decommissioning.
• Bonus: experience finding and delivering performance improvements, including CPU and IO.
• Bonus: understanding of Linux internals and file systems.
• Bonus: familiarity with hard drive performance and tuning, including host-managed SMR.
• Bonus: experience building and interpreting models, dashboards or reports.

Conditions

The base pay range for this role is $175,000 to $200,000.

Base pay ranges are shared for all US-based postings in every state. Standard ranges are set by function, level and country, benchmarked against similar-stage growth companies.

Final offers depend on candidate location, skills, depth of experience and relevant licenses or credentials, and may fall outside the listed range.

The company is an equal opportunity employer and is committed to a diverse workforce where everyone feels they belong.

Benefits

• Family healthcare, including dental and vision.
• Competitive pay plus a 401K.
• RSU grants for full-time employees.
• An ESPP stock purchase program.
• A flexible vacation policy.
• Maternity and paternity leave.
• A MacBook Pro for work plus a generous stipend to personalize your workstation.
• A childcare bonus, for human children only.
• Fertility treatment and support.
• A learning and development program.
• Commuter benefits.
• A culture that values work-life balance.