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Observability Engineer Jobs in Oregon (NOW HIRING)

Obsidian Security

OR · On-site

As a Software Engineer at Obsidian, you'll: Work across different parts of the product and codebase ... Improve existing systems for performance, reliability, maintainability, and observability * Write ...

SentinelOne

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122K - $161K/yr

As a Senior Software Engineer, you will be tasked with leading the architectural design and ... Design cloud-native microservices and APIs that integrate seamlessly with major observability ...

Strivacity

Senior Platform engineer

OR · Remote

$104K - $143K/yr

Herndon, VA (Remote) Type: Full-time Who You Are We're looking for a Platform Engineer to help ... Define and enforce platform standards around observability, cost management, resource scaling, and ...

Praxis Precision Medicines, Inc.

Software Engineer

OR · On-site +1

Engineers in this role will first contribute to and grow within our eDiary ecosystem-a regulated ... observability. When you apply to this position, your profile will be considered for current and ...

Gametime United

OR

$102K - $134K/yr

We empower engineers to take full ownership of their code and foster a culture grounded in testing, code reviews, observability, experimentation, and operational excellence. At Gametime, we value ...

Cisco

Software Engineer, Backend

Roseburg, OR · On-site

$152K - $219K/yr

Programming experience in Rust, Scala, Python ... Experience with observability tooling such asOpenTelemetry, Prometheus, Grafana. * Experience with ...

Cisco

Software Engineer, Backend

Portland, OR · On-site

$152K - $219K/yr

Programming experience in Rust, Scala, Python ... Experience with observability tooling such asOpenTelemetry, Prometheus, Grafana. * Experience with ...

Fujifilm

You will advocate for data and AI engineering best practices, including idempotent modular pipeline design, version control, automated testing, CI/CD, IaaS, data quality checks and observability. You ...

Trilon

$114K - $137K/yr

The Data Quality Engineer plays a critical role in that mission by ensuring the data that powers ... You are responsible for building the validation, monitoring, and observability systems that detect ...

Pager Health

OR

$175K - $190K/yr

Improve platform reliability, disaster recovery readiness, observability, and cloud cost efficiency. * Establish engineering standards, best practices, and reusable platform patterns. * Mentor ...

Cisco

Software Engineer, Backend

Hillsboro, OR · On-site

$152K - $219K/yr

Programming experience in Rust, Scala, Python ... Experience with observability tooling such asOpenTelemetry, Prometheus, Grafana. * Experience with ...

Juvare

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

... Engineer to help build, operate, and continuously improve the secure cloud platforms that power ... Monitoring & Observability: Experience with monitoring and observability (Datadog, CloudWatch)

HDR

VCF Platform Engineer Lead

Salem, OR · On-site

$103K - $135K/yr

... observability, and recovery operations. • Drive platform integration with security, monitoring ... and engineering quality across the platform team. • Coach senior engineers, lead technical ...

Netflix

OR

$388K - $558K/yr

Enhance Observability: Build and improve dashboards for model observability, anomaly and drift ... Partner with engineering, product, and research teams distributed across multiple US-based time ...

HDR

Lead Storage & Data Protection Engineer

Salem, OR · On-site

They are seeking a Lead Storage & Data Protection Engineer to define and own the technical roadmap ... observability, and cloud extension capabilities. • Partner with infrastructure leadership ...

HDR

VCF Platform Engineer Lead

Portland, OR · On-site

$108K - $143K/yr

... observability, and recovery operations. • Drive platform integration with security, monitoring ... and engineering quality across the platform team. • Coach senior engineers, lead technical ...

Origami Risk LLC

$100K - $122K/yr

Partners with Architecture and Engineering teams to establish Day-1 observability for new services, including centralized logging, metrics, tracing, dashboards, alerts, and operational support ...

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Observability Engineer information

What are the typical responsibilities of an Observability Engineer on a daily basis?

As an Observability Engineer, your daily responsibilities usually include designing and maintaining monitoring and alerting systems, analyzing system logs, and collaborating with development teams to improve service reliability. You'll work regularly with a suite of observability tools to ensure that infrastructure and applications are performing optimally, quickly responding to any incidents or anomalies detected. Additionally, you help establish best practices for instrumentation and metrics collection, often leading initiatives to enhance visibility into complex, distributed systems. The work is a blend of proactive system design and reactive problem-solving, requiring both technical expertise and strong teamwork skills.

What engineers make $500,000 a year?

Senior-level engineers in specialized fields such as software engineering, data engineering, or DevOps can earn $500,000 or more annually, especially with experience, advanced skills, and working at large tech companies or in high-demand industries. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires extensive expertise and leadership responsibilities.

What is the salary of observability engineer?

The salary of an observability engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in monitoring tools like Prometheus, Grafana, or Elasticsearch may command higher salaries.

What does an observability engineer do?

An observability engineer designs, implements, and maintains systems that monitor and analyze software performance, reliability, and security. They work with tools like monitoring dashboards, log management, and alerting systems to ensure applications run smoothly and issues are quickly identified. Strong skills in scripting, cloud environments, and understanding of system architecture are essential for this role.

What does an Observability Engineer do?

An Observability Engineer is responsible for designing, implementing, and maintaining monitoring, logging, and tracing systems to ensure the health, performance, and reliability of applications and infrastructure. They work with tools like Prometheus, Grafana, OpenTelemetry, and ELK to collect and analyze telemetry data. Their goal is to provide visibility into system behavior, detect and diagnose issues quickly, and improve overall system observability. They collaborate with developers, SREs, and operational teams to create automated and scalable observability solutions.

What engineers make 300,000 a year?

Senior-level observability engineers, especially those with expertise in cloud infrastructure, monitoring tools, and automation, can earn $300,000 or more annually. High compensation is often associated with extensive experience, specialized skills, and working in large tech companies or in leadership roles.

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

To thrive as an Observability Engineer, you need a solid understanding of monitoring, logging, and tracing systems, as well as expertise in programming, cloud infrastructure, and incident response. Proficiency in tools like Prometheus, Grafana, ELK stack, and familiarity with cloud platforms such as AWS, Azure, or GCP are commonly required, and certifications like AWS Certified DevOps Engineer can be advantageous. Strong analytical thinking, collaborative skills, and effective communication are essential soft skills for diagnosing issues and working across development and operations teams. These competencies are vital for proactively maintaining system reliability, ensuring performance, and resolving complications before they impact business operations.

What are the most commonly searched types of Observability Engineer jobs in Oregon? The most popular types of Observability Engineer jobs in Oregon are:
What are popular job titles related to Observability Engineer jobs in Oregon? For Observability Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Observability Engineer jobs in Oregon look for? The top searched job categories for Observability Engineer jobs in Oregon are:
Observability Engineer jobs near you
Infographic showing various Observability Engineer job openings in Oregon as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.
Software Engineer

Software Engineer

Obsidian Security

OR • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

As a Software Engineer at Obsidian, you'll:

Work across different parts of the product and codebase: backend services, APIs, data pipelines, integrations, product features, and internal tools. This is a good role for someone who likes variety and is comfortable learning a new area without needing everything mapped out in advance.

You might spend one week improving an ingestion service, the next building an API for a customer-facing workflow, and the next helping debug a production issue with another team. The work is practical, product-driven, and close to real customer problems.

What you'll do
  • Build and maintain product features across backend services, APIs, data systems, and user-facing workflows
  • Work with product managers, designers, security researchers, and other engineers to ship useful, reliable software
  • Contribute to services that process SaaS activity, identity data, permissions, alerts, and security findings
  • Improve existing systems for performance, reliability, maintainability, and observability
  • Write clear, well-tested code and participate in code reviews and design discussions
  • Learn unfamiliar parts of the stack and help where the team needs you most
  • Use AI-powered development tools thoughtfully while reviewing and validating the output
What's in It for You
  • Contribute to a core product used by enterprises worldwide
  • Work on security problems across SaaS, identity, data, and AI usage
  • Learn from experienced engineers across the US and UK teams
  • Build depth in backend engineering while getting exposure to adjacent areas like data pipelines, detection systems, cloud infrastructure, and product engineering
  • Be part of a fast-moving company where engineers are expected to own real problems
Required Skills & Experience
  • 3+ years of experience in a software engineering role
  • Proficiency in one or more modern programming languages such as Python, Go, TypeScript, or SQL
  • Experience building backend services, APIs, data processing systems, or product features
  • Familiarity with relational databases such as Postgres
  • Understanding of software design principles, testing, debugging, and clean code practices
  • Experience working with Git and participating in code reviews
  • Comfort working in a collaborative team environment with changing requirements
  • Curiosity and willingness to learn unfamiliar systems, tools, and problem domains
Desirable Experience
  • Experience with cloud platforms such as AWS or GCP
  • Exposure to containerization technologies such as Docker or Kubernetes
  • Familiarity with event or streaming systems such as Kafka, Redis, or similar technologies
  • Experience with observability tools such as Grafana, Prometheus, or similar platforms
  • Exposure to CI/CD pipelines and deployment tooling
  • Interest in security, SaaS platforms, identity, data protection, or detection systems
  • Experience using AI-powered developer tools in day-to-day engineering work
AI Skills & AI-Native Engineering Expectations

As an AI-forward engineering organization, we expect engineers to use AI tools effectively and understand foundational AI concepts that are increasingly part of modern software development.

AI Engineering Capabilities
  • Leverage AI tools to improve development speed while critically reviewing AI-generated output
  • Understand core AI/ML concepts such as LLMs, embeddings, inference, evaluation, and vector databases
  • Build software that is reliable, observable, secure, and maintainable in AI-assisted development workflows
  • Show good judgment about where AI tools help, where they do not, and how to validate their output

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