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Remote Observability Engineer Jobs in Washington

Ad Hoc

Senior Site Reliability Engineer

Mclean, VA · Remote

$57.50 - $76.50/hr

Senior Site Reliability Engineer Job number: 884 This is a remote position. Ad Hoc is a technology ... Designing and operating observability across metrics, logging, tracing, and alerting * Leading ...

IT Labs

Lead DevOps Engineer

Washington, DC · Remote

$54 - $74/hr

Drive adoption of observability tools like DataDog and establish logging standards * Coordinate ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

Career Renew

Senior Infrastructure Engineer

Washington, DC · Remote

$170K - $220K/yr

... remote role for US based candidates, they need to work EST schedule. Salary range: 170-220K USD ... Experience improving Observability practices, defining alerts, operational dashboards and business ...

HHAeXchange

Platform Engineer

Washington, DC · Remote

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Design and implement monitoring, alerting, and observability frameworks across the platform stack

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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 the most commonly searched types of Observability Engineer jobs in Washington? The most popular types of Observability Engineer jobs in Washington are:
What are popular job titles related to Remote Observability Engineer jobs in Washington? For Remote Observability Engineer jobs in Washington, the most frequently searched job titles are:
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Remote Observability Engineer jobs near you

Lead Backend Engineer (AI Infrastructure & Data Platforms) | USA

C&D Talent Advisory

Washington, DC • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Hiring Process

When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, so one application can unlock multiple career opportunities.

We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process. If not, we won't ignore you.

About the Company

Our client is building the next generation of AI-powered governance infrastructure, creating intelligent software that transforms how complex organisations manage knowledge, workflows, and decision-making.

Their platform combines AI, automation, distributed systems, and data engineering to power large-scale governance, analytics, and business intelligence. As they continue to scale, they're looking for exceptional engineers who enjoy solving technically challenging problems and building products with real-world impact.

  • Location: Remote (United States)
  • Employment Type: Full-time
  • Level: Lead
  • Work Authorization: Existing US work authorization required.
About the Role

We're looking for a Lead Backend Engineer to build the core automation engine and data platform powering next-generation AI systems.

This is a highly hands-on engineering role where you'll architect scalable backend services, build production-grade data pipelines, develop AI infrastructure, and own complex distributed systems from design through production.

What You'll DoBackend Engineering;
  • Design and build scalable backend services using TypeScript and Node.js
  • Develop production-ready APIs and distributed systems
  • Build automation platforms that improve complex business workflows
  • Architect reliable, scalable backend infrastructure
Data Platforms;
  • Build robust data pipelines integrating third-party APIs and external data sources
  • Design scalable relational database schemas and data models
  • Ensure data integrity, monitoring, validation, and observability
  • Develop infrastructure supporting business intelligence and AI applications
AI Infrastructure;
  • Build systems supporting AI agents and intelligent automation
  • Develop scalable execution environments for AI-powered workflows
  • Create secure, traceable, and reliable automation platforms
  • Contribute to next-generation knowledge management systems
Technical Leadership;
  • Lead projects from architecture through production deployment
  • Drive engineering best practices and technical excellence
  • Identify technical risks early and deliver incrementally
  • Collaborate across engineering and product teams to solve complex problems
What We're Looking ForMust Have;
  • 5+ years building production backend or server-side systems
  • Strong TypeScript and Node.js expertise
  • Experience with Python, Go, Rust, or Java
  • Advanced SQL and relational database design
  • Experience building production data pipelines
  • Experience integrating third-party APIs
  • Strong distributed systems knowledge
  • Excellent system design and architecture skills
  • High ownership and execution mindset
  • Experience leading complex technical initiatives
Nice to Have;
  • AI infrastructure or LLM experience
  • Blockchain or distributed ledger experience
  • Experience with Notion, Supabase, or similar platforms
  • Event-driven architectures
  • Open-source contributions
  • PostgreSQL expertise
  • Observability and monitoring platforms
  • Startup or high-growth company experience
What We Offer
  • Competitive USD compensation
  • Equity and token participation
  • Performance-based bonuses
  • Fully remote within the United States
  • High ownership from day one
  • Opportunity to build cutting-edge AI infrastructure
  • Small, high-performing engineering team
  • Collaborative, fast-paced environment focused on solving meaningful technical challenges

If you're excited about building scalable backend systems, AI-powered infrastructure, and distributed platforms that push the boundaries of intelligent software, we'd love to hear from you...