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Remote Observability Engineer Jobs in Colorado (NOW HIRING)

Qode

Software Engineer

CO · On-site +1

Remote, United States Workplace Type: Remote About the Role We are seeking a mid-level Software ... Instrument services for observability (logging, metrics, alerting). * Participate in on-call ...

Calance US

GCP Cloud Engineer $65.00

Denver, CO · Remote

$70/hr

REMOTE - Denver, CO Pay Rate:$65.00 (W2 only) or $70.00 (INCORPORATED), (Not accepting 1099 or C2C ... Observability: Design and implement comprehensive monitoring, logging, and reporting capabilities ...

DSC Resources

Principal Software Engineer

Denver, CO · Remote

$150K - $210K/yr

Net Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must ... Drive operational excellence through observability, monitoring, logging, and incident response ...

In Tandem

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

Remote USA - In Tandem Compensation: $100,000 - $135,000 / year Description At In Tandem, we build ... Docker, CI/CD, monitoring, and observability. * Experience building internal tooling or platforms ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... Production AI/ML deployment and observability frameworks Data Engineering & Analytics * ETL/ELT ...

Comcast

Software Engineer - Python / Django

Centennial, CO · On-site +1

$114K - $172K/yr

... remote option.) Job Summary This job involves collaborative design and development of software ... Exposure to Vector or similar observability and logging solutions. Additional "Nice to Have" Skills:

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... observability, testing, and operational readiness. 13. Evaluate and adopt new technologies and ...

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... observability, testing, and operational readiness. 13. Evaluate and adopt new technologies and ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... and observability . * Collaborate cross-functionally to ensure compliance with regulatory ...

Cleerly

Sr. Software Engineer - ML Systems

Denver, CO · On-site +1

$176K - $206K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... observability. * Define and enforce robust verification and validation for AI services including ...

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Remote Observability Engineer information

What are the typical collaboration patterns for a Remote Observability Engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

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

To thrive as a Remote Observability Engineer, you need strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

What is the difference between Remote Observability Engineer vs Site Reliability Engineer?

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What is a Remote Observability Engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.
What are popular job titles related to Remote Observability Engineer jobs in Colorado? For Remote Observability Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Observability Engineer jobs in Colorado look for? The top searched job categories for Remote Observability Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Observability Engineer jobs? Cities in Colorado with the most Remote Observability Engineer job openings:
Remote Observability Engineer jobs near you

Software Engineer

Qode

CO • On-site, Remote

Full-time

Posted 8 days ago

Job description

Software Engineer - Platform Services
Location: Remote, United States
Workplace Type: Remote
About the Role
We are seeking a mid-level Software Engineer to join our high-output Platform Services team. This role is crucial for building and maintaining the foundational systems that power identity, authentication, and integration capabilities across our multi-product SaaS platform. Our team operates lean, leveraging a combination of deep engineering expertise and AI-assisted tooling to achieve platform-scale impact. As an engineer on this team, you will be expected to deeply understand the systems you own, proactively identify and address potential issues, and deliver solutions with a high degree of care to ensure downstream product teams remain unblocked. The immediate focus will be on federated identity and authorization infrastructure, involving the development and extension of platform services essential for authenticating users, enforcing authorization, and managing access at scale. A strong candidate will possess hands-on experience with OAuth 2.0, OIDC, SAML, and JWT, a solid understanding of authorization frameworks, and practical knowledge of integrating identity services into real-world applications. We are looking for individuals who embrace AI-assisted workflows as a core part of their development process, using AI tools as a force multiplier rather than an afterthought.
Key Responsibilities
  • Design, implement, test, and release features end-to-end with limited guidance.
  • Independently identify edge cases and potential failure modes within assigned work.
  • Write clean, maintainable code and provide constructive, specific feedback during code reviews.
  • Proactively communicate blockers or ambiguities to the team.
  • Apply practical knowledge of federated identity standards including OAuth 2.0, OIDC, SAML 2.0, and JWT.
  • Understand and reason about authorization frameworks, policy enforcement, and integration into upstream and downstream services.
  • Reason clearly about token lifecycle, session management, and the security implications of identity design choices.
  • Understand the mechanics of connecting distributed services in a multi-product platform environment.
  • Build and maintain integrations that are observable, fault-tolerant, and respectful of downstream consumers.
  • Write and work with API contracts (REST, event-driven patterns) with attention to versioning and backwards compatibility.
  • Actively use AI-assisted development tools (e.g., Claude Code, Codex) to accelerate design, implementation, and validation.
  • Participate in building and improving AI-assisted workflows and evaluation harnesses.
  • Stay current on evolving AI tooling and introduce new approaches to the team.
  • Write tests with sufficient coverage to catch regressions without over-engineering.
  • Contribute to operational health by monitoring shipped features, responding to issues, and following incidents to resolution.
  • Document systems and processes to reduce reliance on tribal knowledge.
  • Build and extend platform services for federated identity, authentication, and authorization.
  • Implement integrations with the centralized identity platform, including token handling and session management.
  • Support product teams with integration processes, debugging, and navigating edge cases.
  • Develop tooling, documentation, and examples for self-service integrations.
  • Design and implement backend service integrations using Python and common patterns.
  • Build with multi-product and multi-tenant scenarios in mind.
  • Participate in API design reviews.
  • Use AI development tools as an active part of the delivery workflow.
  • Contribute to AI harness development to improve team velocity.
  • Share effective AI-assisted engineering patterns with the team.
  • Write unit, integration, and acceptance tests.
  • Instrument services for observability (logging, metrics, alerting).
  • Participate in on-call rotations and incident response.
  • Participate in design discussions and code reviews, giving and receiving feedback constructively.
  • Provide mentorship and review support to junior engineers.
  • Contribute to internal documentation, runbooks, and onboarding materials.

Required Skills & Qualifications
  • 3-5 years of professional software engineering experience, with a demonstrated ability to own and deliver features independently in a production environment.
  • Hands-on experience building backend services in .NET or Python, including RESTful API development.
  • Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications.
  • Practical understanding of authorization frameworks: how policies are modeled, enforced, and integrated into application and platform services.
  • Proficiency in .NET or Python for backend service development; familiarity with modern API frameworks (e.g., .NET 9+, FastAPI).
  • Working knowledge of identity protocol mechanics: authorization code flow, token introspection, claims-based access, assertion handling, and SSO logout behavior.
  • Experience with multi-tenant SaaS integration patterns, including tenant-scoped configuration and user identity across application boundaries.
  • Familiarity with cloud platforms (AWS preferred), including relevant managed services for networking, compute, and secrets management.
  • Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing.
  • Active use of AI-assisted development tools (Claude Code, Codex, or equivalent) as part of a daily engineering workflow.

Additional Information
Preferred Qualifications: Prior experience working with a commercial or open-source identity platform; experience modeling and implementing fine-grained authorization (RBAC, ABAC); familiarity with token security considerations; experience building software in a financial services or regulated technology environment; experience building internal platform capabilities; exposure to SOC 2 or similar compliance frameworks; experience contributing to AI harnesses or evaluation pipelines; comfort using AI tools for design exploration and test generation. Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent demonstrated experience. What Success Looks Like: A successful hire will integrate quickly into the team's delivery rhythm, gain expertise in the identity and integration domain, and begin shipping production contributions within the first weeks. Within a few months, they will work largely independently on scoped features, participate meaningfully in code reviews, and demonstrate operational ownership. Impact will be measured by the quality and reliability of their contributions, their ability to reduce platform dependence on tribal knowledge, and their support for product teams integrating with the identity platform. Engineers who thrive here are passionate about their craft, eager to operate at the leading edge of AI-assisted development, and motivated by building essential infrastructure that enables other teams to deliver significant product value.

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