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Remote Observability Engineer Jobs in Virginia (NOW HIRING)

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... Data Quality & Observability * Implement data validation, anomaly detection, SLAs, and ...

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... Data Quality & Observability * Implement data validation, anomaly detection, SLAs, and ...

Microservices Developer (Remote)

Alexandria, VA · Remote

$54.50 - $70.75/hr

... Developer to support our US Government client. * This will be a 100% remote contract-to-hire ... Add observability: structured logging, metrics, distributed tracing, dashboards, and alerting.

Microservices Developer (Remote)

Alexandria, VA · Remote

$54.50 - $70.75/hr

... Developer to support our US Government client. * This will be a 100% remote contract-to-hire ... Add observability: structured logging, metrics, distributed tracing, dashboards, and alerting.

Microservices Developer (Remote)

Alexandria, VA · On-site +1

$54.50 - $70.75/hr

... Developer to support our US Government client. * This will be a 100% remote contract-to-hire ... Add observability: structured logging, metrics, distributed tracing, dashboards, and alerting.

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... Data Quality & Observability * Implement data validation, anomaly detection, SLAs, and ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or ...

Senior Infrastructure Engineer

Herndon, VA · On-site +1

$111K - $151K/yr

... open to remote candidates in certain states. Responsibilities : * Design and operate AWS ... Production monitoring and observability with Prometheus and Grafana (exporters, PromQL, alerting ...

Senior Infrastructure Engineer

Herndon, VA · On-site +1

$111K - $151K/yr

... open to remote candidates in certain states. Responsibilities : * Design and operate AWS ... Production monitoring and observability with Prometheus and Grafana (exporters, PromQL, alerting ...

Senior Infrastructure Engineer

Herndon, VA · On-site +1

$111K - $151K/yr

... open to remote candidates in certain states. Responsibilities : * Design and operate AWS ... Production monitoring and observability with Prometheus and Grafana (exporters, PromQL, alerting ...

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Showing results 1-20

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 Virginia? The most popular types of Observability Engineer jobs in Virginia are:
What job categories do people searching Remote Observability Engineer jobs in Virginia look for? The top searched job categories for Remote Observability Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Observability Engineer jobs? Cities in Virginia with the most Remote Observability Engineer job openings:
Infographic showing various Remote Observability Engineer job openings in Virginia as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution.
Distinguished Engineer, Full Stack (Remote Eligible)

Distinguished Engineer, Full Stack (Remote Eligible)

Capital One

Richmond, VA • On-site, Remote

Full-time

Posted 9 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

75th of 150 rated banks


Job description

Distinguished Engineer, Full Stack (Remote Eligible)

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.

You will work alongside our talented team of developers, AI/ML experts, data analysts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

In this role, you will work with our Capital Markets and Financial Planning Technology teams as well as the broader Finance Technology Distinguished Engineer community to drive architectural excellence, establish AI-native engineering standards, and deliver the next generation of liquidity management, predictive analytics and financial planning infrastructure that powers Capital One's most consequential financial decisions.

If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key responsibilities:

  • Articulate and evangelize a bold technical vision for your domain

  • Decompose complex problems into practical and operational solutions

  • Ensure the quality of technical design and implementation

  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability

  • Continue learning and injecting advanced technical knowledge into our community

  • Handle several projects simultaneously, balancing your time to maximize impact

  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

  • Lead proof-of-concept development for emerging AI frameworks and architectural patterns

  • Collaborate with other Finance Technology towers reviewing architectures and designs outside your immediate domain and contributing a cross-cutting perspective that raises the bar org-wide

  • Champion AIOps practices - driving platform reliability through AI-assisted anomaly detection, automated remediation, and predictive alerting across the portfolio

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in the following:

    • Software engineering and solution architecture

    • Enterprise architecture and design patterns

    • Designing and building distributed HPC and ML systems

    • Full ML development lifecycle using AI and ML frameworks

    • Cloud computing (AWS, Microsoft Azure, Google Cloud)

    • Data engineering

Preferred Qualifications:

  • Bachelor's or Master's in Computer Science, Applied Mathematics, or a related technical field

  • 10+ years of experience in one or more of: software engineering and solution architecture, enterprise architecture and design patterns, distributed HPC and ML systems, ML development lifecycle, cloud computing, or data architecture

  • 10+ years of hands-on coding in commonly used languages Python, Java, Go, Scala, JavaScript/TypeScript, or similar; you are a working engineer, not a former engineer

  • 8+ years owning the full SDLC, conception through architecture, implementation, testing, deployment, and production support; you have been paged and you have fixed it

  • Demonstrated AI-native engineering practice across all three layers:

    • Daily use of AI coding assistants to accelerate productivity, utilizing capabilities well beyond basic code completion

    • Spec/intent driven development

    • AI embedded in CI/CD and SDLC tooling - test generation, spec validation, code review augmentation

    • Production experience building LLM-backed or agentic systems - prompt engineering, evaluation frameworks, observability, and guardrails included

  • Experience working directly with quantitative analysts or data scientists - model development lifecycles, feature pipelines, backtesting, ML deployment, and the rigor to validate what a model is actually doing

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer


Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer


McLean, VA: $269,100 - $307,200 for Distinguished Engineer


New York, NY: $293,600 - $335,100 for Distinguished Engineer


Richmond, VA: $244,700 - $279,200 for Distinguished Engineer







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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