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Observability Engineer Jobs in Colorado (NOW HIRING)

Principal Engineer

Denver, CO ยท On-site

$220K - $250K/yr

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

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

Senior Systems Engineer

Aurora, CO ยท On-site

$106K - $145K/yr

Design common observability capabilities supporting application instrumentation, metrics, logging ... Develop reusable engineering artifacts, design patterns, shared services, and reference ...

Senior Systems Engineer

Aurora, CO

$106K - $145K/yr

Design common observability capabilities supporting application instrumentation, metrics, logging ... Develop reusable engineering artifacts, design patterns, shared services, and reference ...

Senior Systems Engineer

Aurora, CO

$106K - $145K/yr

Design common observability capabilities supporting application instrumentation, metrics, logging ... Develop reusable engineering artifacts, design patterns, shared services, and reference ...

Platform Engineer

Aurora, CO ยท On-site +1

... observability, security, and deployment workflows โ€ข Partner with Product, Operations, and Engineering leadership on roadmap execution โ€ข Mentor engineers and establish engineering best practices ...

Sr. Site Reliability Engineer

Denver, CO ยท 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 ...

DevOps Engineer

Denver, CO ยท 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.

DevOps Engineer

Denver, CO ยท Remote

$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.

Sr. Site Reliability Engineer

Denver, CO ยท 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 ...

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

DevOps Engineer

Denver, CO ยท Remote

$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.

DevOps Engineer

Denver, CO ยท Remote

$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.

Senior DevOps Engineer

Greenwood Village, CO ยท On-site

$131K - $169K/yr

Implement observability solutions using metrics, logging, and tracing to enable proactive issue ... (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to ...

Advanced Observability Vision : Dictate the enterprise strategy for observability frameworks ... Software Engineering : Expert-level software engineering skills in C#, .NET, Java, Python, or React.

Senior DevOps Engineer

Greenwood Village, CO ยท On-site

$131K - $169K/yr

Implement observability solutions using metrics, logging, and tracing to enable proactive issue ... (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to ...

Senior Backend Software Engineer

Boulder, CO ยท Hybrid

$127K - $167K/yr

This is a hands-on engineering role focused on backend systems, platform engineering, observability, and infrastructure-aware software development. You'll work closely with software, infrastructure ...

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Showing results 1-20

Observability Engineer information

See Colorado salary details

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How much do observability engineer jobs pay per hour?

As of Jul 23, 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 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 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:
Infographic showing various Observability Engineer job openings in Colorado as of July 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 49% In-person, 7% Hybrid, and 44% Remote job distribution, with an average salary of $126,629 per year, or $60.9 per hour.
Principal Engineer

Principal Engineer

KORE1 Technologies

Denver, CO โ€ข On-site

$220K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


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 Own
AI 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 Environment
Cloud & 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 Months
Months 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
Requirements
Required 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

Job Requirements
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.