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Observability Jobs in Redmond, WA (NOW HIRING)

The Auth0 Platform Observability team owns the observability tooling that monitors the Auth0 Platform, and we are looking for an Observability Engineer to help ensure that our Product and Platform ...

Senior AI and HPC Observability Engineer

Seattle, WA · On-site

$139K - $183K/yr

Observability is at the heart of this transformation. We are looking for a strong AI & HPC Observability Engineer to build and scale next-generation Observability and Telemetry platforms. You will ...

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Observability information

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How much do observability jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for observability in Redmond, WA is $67.79, according to ZipRecruiter salary data. Most workers in this role earn between $56.83 and $77.79 per hour, depending on experience, location, and employer.

What jobs pay $500,000 a year in the US?

In the field of observability and related tech roles, senior positions such as principal engineers, solutions architects, or engineering managers at large tech companies can reach or exceed $500,000 annually, especially with bonuses and stock options. High-level roles requiring extensive experience, specialized skills in cloud platforms, monitoring tools, and leadership are more likely to offer such compensation. These roles often demand advanced certifications and a proven track record in scalable system design and performance optimization.

What jobs are good for observant people?

Jobs suitable for observant people include roles such as security analysts, quality control inspectors, and surveillance operators, where attention to detail and vigilance are essential. These positions often require strong focus, pattern recognition, and the ability to notice subtle changes or anomalies, sometimes utilizing tools like monitoring software or surveillance equipment.

What are the key skills and qualifications needed to thrive in the Observability position, and why are they important?

To thrive in an Observability role, you need a strong background in monitoring, alerting, logging, and analyzing system performance, often supported by a degree in computer science or related field. Familiarity with tools such as Prometheus, Grafana, Datadog, Splunk, and experience with cloud platforms and scripting languages is crucial. Excellent problem-solving, communication, and collaboration skills help you work effectively with cross-functional engineering and operations teams. These capabilities are essential to ensure system reliability, quickly detect issues, and maintain seamless digital experiences.

What is an Observability job?

An Observability job focuses on ensuring the performance, reliability, and health of software systems by collecting, analyzing, and visualizing telemetry data such as logs, metrics, and traces. Professionals in this field work with monitoring tools, distributed tracing, and alerting systems to detect and troubleshoot issues proactively. They collaborate with engineering and operations teams to improve system visibility, reduce downtime, and enhance overall system performance.

Is observability a good career?

Observability is a growing field focused on monitoring and analyzing system performance using tools like Prometheus, Grafana, and Elasticsearch. It offers opportunities in DevOps, site reliability engineering, and cloud environments, often requiring skills in scripting, data analysis, and infrastructure management. The role is in demand across industries that prioritize system reliability and performance.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and site reliability engineering can earn $500,000 or more annually, especially with experience, specialized skills, and stock options. These roles often require advanced technical expertise, certifications, and leadership responsibilities within large technology companies or successful startups.

What are the typical day-to-day responsibilities of someone in an Observability role?

In an Observability role, your daily tasks often include designing and maintaining monitoring dashboards, configuring alerts, analyzing system logs, and working closely with development and operations teams to troubleshoot issues. You'll proactively identify areas of improvement to increase system reliability, document monitoring strategies, and support incident response efforts. Collaboration is key, as you may participate in post-incident reviews and help drive architectural improvements based on the data you collect. The role is dynamic and requires a proactive approach to ensure systems stay healthy and downtime is minimized.

What are the most commonly searched types of Observability jobs in Redmond, WA? The most popular types of Observability jobs in Redmond, WA are:
What job categories do people searching Observability jobs in Redmond, WA look for? The top searched job categories for Observability jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Observability jobs? Cities near Redmond, WA with the most Observability job openings:
Infographic showing various Observability job openings in Redmond, WA as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $141,011 per year, or $67.8 per hour.

Infrastructure Engineer (Observability)

Lightning AI

Seattle, WA

$122K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

The Way We Work

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here\'s what that looks like in practice:

  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
  • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
  • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
  • Raise the Bar: We\'re always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
  • Think Long-Term: We design for what\'s next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
 What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do Observability Platform & Productization
  • Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
  • Drive the productization of observability capabilities for both internal teams and external customers
  • Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
  • Continuously improve observability systems to keep pace with rapid infrastructure buildouts
Telemetry & Data Pipelines
  • Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
  • Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
  • Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar
Alerting, Reliability & Insights
  • Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
  • Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
  • Build automated insights and enable proactive detection, forecasting, and system health visibility at scale
Systems & Infrastructure Engineering
  • Contribute to broader infrastructure engineering projects beyond observability
  • Partner with infrastructure and platform teams to embed observability into core systems and workflows
  • Support large-scale, distributed systems across compute, networking, and storage environments
Cross-Functional Collaboration
  • Work closely with customer-facing teams to deliver external observability experiences
  • Collaborate with engineering, operations, and support teams to improve system transparency and reliability
  • Help define best practices for observability across the organization
What You’ll Need Required Qualifications
  • 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
  • Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
  • Experience building and operating observability platforms at scale
  • Proficiency in Python, Go, or bash for automation and data integration
  • Familiarity with containerized environments and Kubernetes observability
  • Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
  • Experience with multi-tenant monitoring architectures
  • Strong written and verbal communication skills
Ideal Experience
  • Experience with GPU observability, particularly NVIDIA DCGM
  • Experience monitoring large-scale GPU or HPC clusters
  • Familiarity with InfiniBand fabric observability
  • Experience building customer-facing or productized infrastructure systems
  • Experience with correlation engines, RCA workflows, or predictive alerting systems
  • Broad exposure to infrastructure domains including networking, storage, and provisioning
  Compensation

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.

The anticipated annual base salary range for this role is:$180,000—$220,000 USDBenefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

  • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
  • Meaningful Equity: RSUs that give employees a stake in the company\'s long-term success.
  • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
  • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
  • Paid Parental & Family Leave: Paid leave to support you and your family through life\'s important moments.
  • Professional Development: Annual learning and development allowance to support your professional growth.
  • Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
  • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
  • Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
  • In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.