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Observability Engineer Jobs in Colorado (NOW HIRING)

KORE1 Technologies

Principal Engineer

Denver, CO · Remote

Develop agent infrastructure, tool interfaces, evaluation frameworks, observability standards, and operational guardrails. * Establish engineering standards for integrating AI systems safely into ...

KORE1 Technologies

Principal Engineer

Denver, CO · Remote

Develop agent infrastructure, tool interfaces, evaluation frameworks, observability standards, and operational guardrails. * Establish engineering standards for integrating AI systems safely into ...

Xcimer Energy

Senior Platform Engineer

Denver, CO

$168K - $198K/yr

As a Senior Platform Engineer you will design and ship the systems, services, and paved-path ... Build observability, alerting, and incident-response systems across on-prem and cloud resources.

New

Xcimer Energy

Senior Platform Engineer

Denver, CO · On-site

$107K - $147K/yr

As a Senior Platform Engineer you will design and ship the systems, services, and paved-path ... Build observability, alerting, and incident-response systems across on-prem and cloud resources.

Amplifire

Site Reliability Engineer (SRE)

Boulder, CO · On-site

$130K - $155K/yr

Amplifire is seeking a Site Reliability Engineer to improve the reliability, scalability ... Reliability, Observability & Performance · Establish and maintain service-level indicators (SLIs ...

JCD Staffing

Platform Engineer

Aurora, CO · On-site +1

Improve platform reliability, observability, security, and deployment workflows * Partner with Product, Operations, and Engineering leadership on roadmap execution * Mentor engineers and establish ...

Spire

Cloud Infrastructure Engineer

Boulder, CO · Hybrid

$111K - $146K/yr

This is a hands-on role for someone with a few years of relevant experience who wants to grow in platform engineering, cloud operations, observability, and developer experience. This role is a good ...

Russell, Tobin & Associates

Lead CRM Engineer

Almont, CO · On-site

$55 - $59/hr

Knowledge of container orchestration, release automation, and platform observability tools (e.g ... Contribute to engineering best practices and drive knowledge sharing across the platform domain

Snowflake

Senior Solutions Engineer, Observe

Denver, CO · On-site

$140 - $190/hr

By bringing AI-powered observability directly into the Snowflake ecosystem, we've created the first truly unified platform for telemetry and business data. As a Senior Solutions Engineer for Observe ...

Vertafore

Sr. Site Reliability Engineer

Denver, CO · Hybrid

$58.75 - $78/hr

Design and operate production observability aligned to service health and customer impact. * Lead and participate in incident response, for high-severity events. * Collaborate with engineering ...

Career Team

DevOps Engineer

Denver, CO · On-site

$54.25 - $74.25/hr

... s Engineer who enjoys solving complex infrastructure challenges, automating everything possible ... Improve platform observability through logging, monitoring, metrics, alerting, and dashboards.

Vertafore

Sr. Site Reliability Engineer

Denver, CO · Hybrid

$58.75 - $78/hr

Design and operate production observability aligned to service health and customer impact. * Lead and participate in incident response, for high-severity events. * Collaborate with engineering ...

A2Z Sync

Principal Engineer

Denver, CO · On-site +1

Cross-cutting concerns: observability (OpenTelemetry, CloudWatch), security posture (Auth0 ... Data Engineering: Complex data architectures featuring DynamoDB single-table design, MySQL/Aurora ...

Vertafore

Principal Site Reliability Engineer

Denver, CO · On-site

$58.75 - $78/hr

Advanced Observability Vision : Dictate the enterprise strategy for observability frameworks ... Deep expertise in scaling core SRE principles (SLIs, SLOs, error budgets) across complex ...

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Observability Engineer information

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How much do observability engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for observability engineer in Colorado is $60.88, according to ZipRecruiter salary data. Most workers in this role earn between $50.69 and $69.92 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an observability engineer?

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.

How much do observability engineers make?

Observability engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with expertise in tools like Prometheus, Grafana, or cloud platforms may command higher salaries.

What are the most commonly searched types of Observability Engineer jobs in Colorado?

The most popular types of Observability Engineer jobs in Colorado are:

What are popular job titles related to Observability Engineer jobs in Colorado?

For Observability Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Observability Engineer jobs in Colorado look for?

The top searched job categories for Observability Engineer jobs in Colorado are:

What cities in Colorado are hiring for Observability Engineer jobs?

Cities in Colorado with the most Observability Engineer job openings:

Observability Engineer jobs near you
Infographic showing various Observability Engineer job openings in Colorado as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,629 per year, or $60.9 per hour.

Principal Engineer

KORE1 Technologies

Denver, CO • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Key responsibilities

  • Design, build, and operate AI-enabled workflow orchestration systems and intelligent automation services.

  • Lead architecture and migration initiatives across distributed services and platform modernization efforts.

  • Mentor senior engineers and lead technical design reviews, architecture documentation, and engineering decision-making processes.

Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Principal Engineer - AI & Platform Architecture that is fully remote. 

Why This Role Exists
We operate a large-scale, multi-tenant SaaS platform supporting thousands of enterprise customers across the United States. Our backend infrastructure - built on event-driven, serverless AWS architecture - powers critical operational workflows, real-time transaction processing, integrations, and customer lifecycle management at scale.
Now, the organization is evolving toward intelligent automation and agentic AI systems: autonomous, tool-using services capable of reasoning over platform state, interacting with production systems, executing workflows, and learning from outcomes within established guardrails.
This Principal Engineer will lead the design and implementation of these AI-driven systems while also shaping the broader architectural direction of the platform. This is a highly hands-on technical leadership role focused on production engineering, system design, AI orchestration, platform scalability, and operational reliability.
This individual will establish the engineering patterns, architectural standards, and operational safeguards that enable AI-enabled automation to function safely and effectively in high-scale production environments.
Scope & Scale
  • Large-scale multi-tenant SaaS environment supporting thousands of enterprise customers
  • High-volume transaction and integration workloads across distributed systems
  • Complex API ecosystems spanning REST, SOAP, event-driven, and vendor-integrated services
  • Large-scale data pipelines and cross-domain integrations supporting real-time operations
What You Will OwnAI Systems & Intelligent Automation
  • Design, build, and operate AI-enabled workflow orchestration systems and intelligent automation services.
  • Develop agent infrastructure, tool interfaces, evaluation frameworks, observability standards, and operational guardrails.
  • Establish engineering standards for integrating AI systems safely into production environments.
  • Drive architectural decisions around model orchestration, workflow automation, scalability, reliability, and cost optimization.
Platform Architecture & System Design
  • Lead architecture and migration initiatives across distributed services and platform modernization efforts.
  • Design scalable patterns for feature rollouts, traffic management, deployment safety, and service decomposition.
  • Own cross-functional architectural concerns including observability, security, identity management, and data architecture.
  • Ensure platform reliability, maintainability, and operational resilience across evolving systems.
Technical Leadership
  • Mentor senior engineers and raise engineering standards across multiple development teams.
  • Lead technical design reviews, architecture documentation, and engineering decision-making processes.
  • Partner cross-functionally with Product, Engineering, Infrastructure, and Leadership teams to align technical strategy with business priorities.
  • Help evaluate build-vs-buy decisions across AI, infrastructure, and platform tooling initiatives.
Technical EnvironmentCloud & Infrastructure
  • AWS serverless and distributed systems architecture including Lambda, EventBridge, DynamoDB, ECS/Fargate, Aurora/RDS, API Gateway, S3, and CloudWatch
  • Infrastructure-as-code and CI/CD environments supporting enterprise-scale deployments
Development Stack
  • Python, Java (Spring Boot), and TypeScript/React ecosystems
  • Experience navigating both modern services and legacy application environments
AI & Workflow Orchestration
  • AI workflow orchestration frameworks and large language model integrations
  • Production AI infrastructure, observability, evaluation tooling, and operational safeguards
Data & Integration Systems
  • Event-driven systems and complex integration architectures
  • Distributed data platforms, data pipelines, and large-scale transactional systems
  • Multi-protocol integrations across APIs, messaging systems, and external vendor platforms
First 12 MonthsMonths 1-3
  • Learn the platform architecture, distributed systems landscape, and engineering workflows
  • Evaluate existing systems and publish architectural recommendations for modernization initiatives
  • Establish engineering review and technical governance practices
Months 4-6
  • Deliver initial AI-enabled automation capabilities into production workflows
  • Define scalable engineering patterns for intelligent automation and agentic systems
  • Establish foundational observability, evaluation, and operational standards
Months 7-9
  • Lead key modernization and migration initiatives from design through production deployment
  • Implement scalable observability and operational monitoring frameworks
  • Drive platform reliability and deployment safety improvements
Months 10-12
  • Deliver additional production-scale architectural improvements and AI-enabled workflows
  • Define long-term technical roadmap and scalability strategy
  • Elevate engineering quality and architectural consistency across teams
RequirementsRequired Qualifications
  • 8+ years of software engineering experience, including significant experience in Staff, Principal, or Architect-level roles
  • Deep hands-on experience designing cloud-native distributed systems within AWS environments
  • Strong background in serverless architecture, event-driven systems, and scalable backend services
  • Experience leading platform modernization or monolith-to-services migration initiatives
  • Ability to operate both strategically and hands-on within highly technical environments
  • Strong software design, architecture documentation, and cross-functional communication skills
  • Experience mentoring engineers and driving technical alignment across teams
  • Strong understanding of observability, operational reliability, and scalable system design
Preferred Qualifications
  • Experience in large-scale SaaS, marketplace, fintech, automotive, or transaction-heavy platforms
  • Experience with AI-enabled workflows, intelligent automation systems, or LLM orchestration frameworks
  • Familiarity with large-scale data pipelines, ETL systems, or data platform architecture
  • Experience with identity/authentication platforms and enterprise security architecture
  • Exposure to browser automation or complex integration workflows

Benefits & Culture
We are a fast-paced and collaborative technology organization focused on building scalable platforms that simplify operational complexity and improve customer outcomes.
We offer:
  • Comprehensive medical, dental, and vision coverage
  • Employer-sponsored disability and life insurance
  • 401(k) with company match
  • Generous paid time off and company holidays
  • High-impact technical ownership and architectural influence
  • Opportunity to shape next-generation AI-enabled platform capabilities at scale
 



Compensation depends on experience but is typically 220-250k

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.