Senior Software Engineer - Data Infrastructure

New

JobgetherData infrastructure

Remote; based in the United StatesFull-TimeSenior

SalaryBase salary: $175,000–$200,000 per year for this United States-based position.

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Job Details

Have at least 7 years of enterprise backend development experience using an object-oriented or systems programming language such as Java, Rust, C++, C#, or Go.
Have experience designing automation frameworks or platforms used by other engineers.
Have experience building and operating large-scale software systems distributed across thousands of servers.
Have experience developing internal platform services, operational tooling, or deployment and configuration pipelines used by engineering teams.
Have working knowledge of observability technologies such as Prometheus, Grafana, OpenTelemetry, ELK, or Datadog, including service instrumentation and actionable alert design.
Have strong Linux fundamentals and experience with bare-metal or hybrid infrastructure environments.
Have professional experience incorporating AI-assisted development tools such as Gemini, Cursor, or Claude Code into engineering workflows.
Be familiar with the software development lifecycle, including architecture and design, implementation, testing, deployment, and rollout.
Additional experience that is advantageous includes Java, configuration management or infrastructure-as-code tools, SLOs and error budgets, time-series databases and PromQL, and hardware lifecycle automation.

Design and develop automation frameworks for provisioning, configuring, and repairing fleet infrastructure.
Extend observability systems across metrics, logs, traces, and alerts to monitor platform health and identify degradation.
Build reporting tools, dashboards, and visualizations for fleet health, capacity, and operational trends.
Develop system health tooling to detect hardware failures, configuration drift, and capacity risks.
Lead technical design discussions and document changes spanning multiple services and engineering teams.
Drive feature implementation from design through deployment, including migrations, data backfills, and rollout planning.
Collaborate with on-call engineers to turn recurring operational work and incident patterns into automation and improved monitoring.
Identify opportunities to improve infrastructure throughput, reliability, and operational efficiency.

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