Senior+ Software Engineer - Cloud Availability Platform Engineering (Observability) at Crusoe

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud ComputingIndustries

Requirements

7+ years of experience in infrastructure or platform engineering, with a focus on observability and monitoring systems
Deep expertise with metrics systems (Prometheus, Thanos, Mimir, Cortex), logging pipelines (Fluent Bit, Vector, Loki, ELK/Opensearch), and tracing platforms (Jaeger, Tempo, OpenTelemetry)
Strong programming skills in Go or Python for automation, operators, and custom integrations
Experience running observability platforms on Kubernetes and operating them at scale across multi-datacenter environments
Proven ability to design, optimize, and scale telemetry pipelines handling high cardinality and high throughput data
Solid understanding of distributed systems, performance engineering, and debugging complex workloads
Familiarity with service meshes, networking, and workload instrumentation (Envoy, Istio, OpenTelemetry SDKs)
Strong collaboration skills and the ability to influence engineering teams to adopt observability best practices

Responsibilities

Designing and operating scalable observability systems (metrics, logging, tracing) across multi-datacenter Kubernetes environments
Architecting end-to-end telemetry pipelines, including ingestion, storage, querying, and visualization
Extending monitoring and alerting with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetry
Building scalable log collection and processing pipelines with Fluent Bit, Vector, Loki, or ELK/Opensearch stacks
Implementing distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrating with service meshes, load balancers, and APIs
Defining and driving adoption of SLOs, SLIs, and error budgets across services and teams
Automating provisioning and scaling of observability infrastructure with Kubernetes, Terraform, and custom tooling (Go, Python)
Ensuring reliability and cost efficiency of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure)
Embedding security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controls
Partnering with engineering teams to embed observability into applications, services, and infrastructure
Mentoring engineers and shaping Crusoe’s observability strategy and technical roadmap

Skills

Key technologies and capabilities for this role

KubernetesPrometheusAlertmanagerThanosCortexGrafanaOpenTelemetryFluent BitVectorLokiOpensearchTempoJaegerTerraformGoPython

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite position.

What salary or compensation does this role offer?

This information is not specified in the job description.

What skills and experience are required for this Senior+ Software Engineer role?

Candidates need 7+ years in infrastructure or platform engineering focused on observability, deep expertise in metrics systems like Prometheus/Thanos, logging pipelines like Fluent Bit/Loki, tracing platforms like Jaeger/OpenTelemetry, strong Go or Python programming skills, and experience with Kubernetes at scale.

What is the company culture like at Crusoe?

Crusoe emphasizes driving meaningful innovation, making a tangible impact, and joining a team setting the pace for responsible, transformative cloud infrastructure in the AI revolution with sustainable technology.

What makes a strong candidate for this observability engineering role?

A strong candidate will have proven ability to design, optimize, and scale telemetry pipelines for high cardinality and throughput data, plus solid understanding of distributed systems, performance engineering, and debugging, along with experience mentoring engineers.

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters

2018Year Founded

$1,082.2MTotal Funding

SERIES_DCompany Stage

Energy, AI & Machine LearningIndustries

201-500Employees

Benefits

Industry competitive pay

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

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

Parental leave

Stock options in a fast-growing, well-funded technology company

Pet-friendly offices

Teladoc

401(k) with a 4% match

Unlimited time off

Cell phone reimbursement

Tuition reimbursement

Company paid commuter benefit; $100 per month

Calm

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.

Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.

Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.

The company offers scalable solutions for AI and high-performance computing needs.

Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.

Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.

AI-driven energy optimization can significantly reduce operational costs in data centers.

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