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Observability Engineer Jobs in Washington (NOW HIRING)

Leidos

Senior Observability Engineer

Alexandria, VA · On-site

$111K - $153K/yr

Leidos Digital Modernization sector is seeking an experienced Senior Observability Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

GDIT

Cloud Engineer - TS/SCI with Polygraph

Herndon, VA

$142K - $172K/yr

As an Observability Engineer you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. Candidate will work closely ...

Geico

Senior Staff Engineer, Hybrid Cloud Fabric

Bethesda, MD · Hybrid

$111K - $153K/yr

Develop comprehensive monitoring and observability dashboards to provide deep insights into service ... Guide and mentor engineers on service mesh principles and best practices, fostering knowledge ...

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How much do observability engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for observability engineer in Washington is $69.44, according to ZipRecruiter salary data. Most workers in this role earn between $57.81 and $79.75 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 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 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 Washington? The most popular types of Observability Engineer jobs in Washington are:
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Observability Engineer jobs near you
Senior Observability Engineer

Senior Observability Engineer

Leidos

Alexandria, VA • On-site

$111K - $153K/yr

Full-time

Posted 3 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

55th of 426 rated business services

Job description

This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior Observability Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.
In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.
Primary Responsibilities:
  • Design and implement advanced analytical approaches to monitor the performance and health of the architecture.
  • Identify patterns and conduct large-scale predictive analytics to anticipate and mitigate potential issues.
  • Assist in incident response, conducting root cause analysis, and prescribing solutions to ensure system reliability.
  • Develop and maintain a Software Engineering Plan (SWP) for managing all aspects of the System software lifecycle.
  • Establish and operate a SAFE Agile development process, prioritizing product backlog items and scheduling them into Agile sprint cycles.
  • Maintain and operate the DevSecOps factory, including automated DevSecOps pipelines for software development, integration, testing, authorization, and provisioning.
  • Perform software development and integration for System software, including infrastructure, data tools, customer tools, cybersecurity, and user interfaces.
  • Translate systems engineering and reference architecture designs into software designs, considering business requirements and compliance standards.
  • Plan, design, and implement software testing tools, processes, and procedures, including automated test pipelines for unit, regression, security, integration, compliance, performance, and acceptance testing.
  • Conduct configuration management operations to control, identify, record, and report IT components, versions, and relationships for the System.
  • Establish and maintain development, test, integration, staging, and production environments for supporting the System software lifecycle.
  • Deliver and maintain all software artifacts on Government-owned repositories, including source code, Infrastructure as Code (IaC), Configuration as Code (CaC), and software executables.

Basic Qualifications:
  • Active Top Secret (TS) clearance with SCI eligibility.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience.
  • Minimum of 8 years of experience in software engineering, systems engineering, or a related field.
  • Experience in at least 4 of the following:
  • Advanced analytical approaches and large-scale predictive analytics.
  • DevSecOps practices and automated pipelines.
  • Configuration management operations and tools.
  • Implementing enterprise observability solutions (e.g., Splunk, Grafana, Prometheus, ELK/Elastic Stack, Datadog, or similar platforms).
  • Designing logging, metrics, and distributed tracing architectures for cloud-native systems.
  • Supporting containerized environments (e.g., Kubernetes, Docker) and microservices architectures.
  • Conducting root cause analysis and performance optimization in production environments.
  • Proficiency in Agile software development methodologies
  • Ability to design and implement software testing tools and procedures.
  • Strong understanding of software development, integration, and testing processes.
  • Strong problem-solving skills

Preferred Qualifications:
  • Active TS/SCI clearance.
  • SAFe Agilist (SA) or related SAFe certification.
  • Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems.
  • Experience with DoD Security Technical Implementation Guides (STIGs) and container hardening standards.
  • Familiarity with Infrastructure as Code (IaC) and Configuration as Code (CaC) practices.
  • Knowledge of open standards systems and their application in reducing operating costs and improving network performance.
  • Experience supporting observability across multi-enclave DoD cloud environments.
  • Experience implementing automated anomaly detection and predictive monitoring.
  • Experience defining and tracking SLOs, SLAs, and reliability metrics.
  • Experience supporting enterprise-scale data, analytics, or AI platforms.
  • Experience integrating observability with Zero Trust monitoring and continuous compliance frameworks.
  • Strong communication skills and ability to work collaboratively with cross-functional teams.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
March 9, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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