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Part Time Observability Engineer Jobs in Seattle, WA

Quality & Observability: Drive a "shift-left" testing strategy using AI to generate comprehensive ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Quality & Observability: Drive a "shift-left" testing strategy using AI to generate comprehensive ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Part Time Observability Engineer information

What is the difference between Part Time Observability Engineer vs Part Time Site Reliability Engineer?

AspectPart Time Observability EngineerPart Time Site Reliability Engineer
Primary FocusMonitoring, logging, and observability toolsSystem reliability, automation, and incident response
Required SkillsMonitoring tools, scripting, troubleshootingSystem architecture, automation, incident management
Work EnvironmentDevOps teams, cloud platformsOperations, engineering teams, cloud infrastructure
CertificationsMonitoring and cloud certificationsLinux, cloud, and SRE certifications

While both roles involve cloud and infrastructure skills, a Part Time Observability Engineer primarily focuses on monitoring and observability tools, whereas a Part Time Site Reliability Engineer emphasizes system reliability and automation. The roles often overlap but differ in core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Part Time Observability Engineer, and why are they important?

To thrive as a Part Time Observability Engineer, you need expertise in monitoring, logging, and incident response, often supported by a background in computer science or related experience. Familiarity with tools such as Prometheus, Grafana, ELK Stack, Datadog, or Splunk, and knowledge of cloud platforms like AWS or Azure are typically required. Strong analytical thinking, problem-solving abilities, and clear communication are essential soft skills for effective collaboration and rapid issue resolution. These competencies ensure system reliability, quick troubleshooting, and efficient support for engineering teams in maintaining robust infrastructure.

What are some common challenges faced by part-time observability engineers, and how can they effectively manage their workload?

Part-time observability engineers often juggle multiple responsibilities within limited hours, making prioritization and effective time management crucial. One common challenge is staying up-to-date with rapidly evolving monitoring tools and responding promptly to incidents despite restricted availability. Building clear communication channels with the full-time team, leveraging automation for routine monitoring tasks, and maintaining thorough documentation can help ensure smooth handovers and sustained observability coverage. Additionally, focusing on high-impact improvements and collaborating closely with other engineers can maximize the value delivered in a part-time capacity.

What does a Part Time Observability Engineer do?

A Part Time Observability Engineer is responsible for monitoring, analyzing, and improving the visibility of software systems, typically on a reduced or flexible schedule. They set up tools and processes to collect metrics, logs, and traces, making it easier for teams to identify and resolve issues quickly. Their work helps ensure systems are reliable, performant, and easy to troubleshoot. Part-time roles may focus on specific projects, on-call rotations, or supporting ongoing observability initiatives depending on the organization's needs.
What are the most commonly searched types of Observability Engineer jobs in Seattle, WA? The most popular types of Observability Engineer jobs in Seattle, WA are:
What are popular job titles related to Part Time Observability Engineer jobs in Seattle, WA? For Part Time Observability Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Observability Engineer jobs in Seattle, WA look for? The top searched job categories for Part Time Observability Engineer jobs in Seattle, WA are:

Lead Software Development Engineer

iSpot

Bellevue, WA • On-site

$148K - $188K/yr

Full-time, Part-time

Posted 6 days ago


Job description

Immigration / Work Authorization Notice:Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You'll Be Part Of:
You'll join a high-impact engineering organization building the foundational technology that powers our entire product suite. As a Full-Stack Engineer, you are central to our Creative, Audience, and Outcomes pillars. Your mission is to be a force multiplier: you won't just write code; you will architect AI-augmented workflows that bridge the gap between visionary UI and robust, high-throughput data pipelines. Whether you are leveraging LLMs to accelerate frontend prototyping or building self-healing backend systems, your work directly impacts how we create, who we reach, and the tangible results we deliver.
Responsibilities:
  • AI-First Development: Lead the adoption of AI-augmented development environments (e.g., Kiro, Cursor, Copilot) to accelerate the entire lifecycle, from rapid UI prototyping in React to optimizing complex backend logic.
  • Full-Stack Orchestration: Design and implement extensible features that unify sleek user experiences with resilient backend services and low-latency data pipelines.
  • Intelligent Data Pipelines: Author and maintain scalable pipelines (streaming/batch) that incorporate AI-driven transformations, anomaly detection, and automated scaling to ensure data integrity from source to screen.
  • Technical Leadership & Mentorship: Serve as the go-to expert for full-stack patterns and AI literacy, coaching the team on prompt engineering, automated refactoring, and the ethical integration of AI into production code.
  • Quality & Observability: Drive a "shift-left" testing strategy using AI to generate comprehensive test suites (Jest, Cypress, Integration) and build AI-driven monitoring to predict and mitigate system failures.
  • Cross-Functional Collaboration: Partner with product and design teams to align technical strategy with the project vision, ensuring that backend capabilities unlock ambitious, AI-powered frontend experiences.
  • System Health: Own on-call responsibilities, update runbooks, and leverage AI diagnostics to streamline incident investigation and platform stability.
Qualifications and Education Requirements:
  • Extensive Full-Stack Experience: Proven track record of building shareable frontend components and complex backend infrastructure, with a strong focus on React, TypeScript, and languages like js, Python, or Go.
  • AI Mastery: Deep proficiency in AI-assisted development and a proven ability to integrate AI APIs and Vector Databases into production-grade applications.
  • Data & Pipeline Expertise: Strong understanding of data structures, distributed systems, and database optimization (SQL/NoSQL) within high-scale environments.
  • Quality-Driven Engineering: Expertise in test automation and maintainable patterns, utilizing AI to enhance coverage and efficiency.
  • Architectural Vision: Proven ability to author technical designs for complex, multi-team projects where AI and human-written code coexist seamlessly.
  • Communication & Impact: Ability to communicate complex technical strategies to both technical and non-technical audiences, focusing on outcomes and user-centric design.

Target cash compensation range: $148,550-188,000 USD Annually
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE
Hybrid & Flexible Workplace Policy
iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
#LI-Hybrid
If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.
California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.