Senior Software Engineer, Streaming

Employer description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world’s most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We’re in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We’re solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We’re looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This RoleWe’re looking for a Senior Streaming Software Engineer to join the Observability team within our Cloud Infrastructure organization. This team builds and operates the real-time data platforms that power metrics, logs, traces, and event streams used by engineers across the company to understand and operate Crusoe’s AI cloud reliably at scale.

In this role, you’ll design, build, and operate high-throughput streaming systems that process massive volumes of telemetry data generated across our GPU cloud and global data centers. Your work will help ensure engineers have real-time visibility into complex distributed systems and the infrastructure that powers them.

This is an opportunity to work on large-scale data pipelines and distributed systems that power observability across a rapidly scaling AI cloud environment.

What You’ll Be Working OnDesigning, building, and maintaining streaming services and pipelines that ingest and process observability data including logs, metrics, traces, and operational events

Implementing real-time data processing systems using technologies such as Kafka, Kinesis, Pub/Sub, Flink, or similar streaming platforms

Scaling streaming infrastructure to support high-throughput telemetry ingestion, high-cardinality workloads, and bursty infrastructure traffic patterns

Ensuring streaming systems are reliable and observable, with strong instrumentation, dashboards, and alerting

Collaborating with SREs and platform teams to integrate streaming data into internal observability tools and operational workflows

Participating in on-call rotations, incident response, and post-incident reviews

Improving system reliability and developer experience through automation, CI/CD, and infrastructure-as-code practices

Contributing to technical design discussions and reviews for new streaming capabilities

What You’ll Bring to the TeamStrong experience building and operating distributed systems, especially streaming or real-time data platforms

Hands-on experience with Kafka or similar distributed streaming technologies

Proficiency in backend languages such as Java, Scala, Go, or Python

Experience operating services in cloud or large-scale infrastructure environments

Solid understanding of observability fundamentals including metrics, logging, tracing, and alerting

Comfort debugging production issues across distributed systems

Ability to own features end-to-end, from design through production operations

Strong collaboration skills and a pragmatic engineering mindset

Bonus PointsExperience building observability platforms at cloud or data center scale

Familiarity with stream processing frameworks and delivery semantics

Experience with Kubernetes and containerized infrastructure

Exposure to schema management, data contracts, or serialization formats

Experience working with bare-metal infrastructure or large-scale data center environments

Interest in mentoring junior engineers

Benefits:

Industry competitive pay

Restricted Stock Units in a fast growing, well-funded technology company

Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

Employer contributions to HSA accounts

Paid Parental Leave

Paid life insurance, short-term and long-term disability

Teladoc

401(k) with a 100% match up to 4% of salary

Generous paid time off and holiday schedule

Cell phone reimbursement

Tuition reimbursement

Subscription to the Calm app

MetLife Legal

Company paid commuter benefit; $300 per month

Compensation:

Compensation will be paid in the range of $170,000 - $205,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.