Senior Observability Engineer in McLean, VA

Role: Senior Observability Engineer

Location: McLean, VA, as this is a 3 to 4-day onsite role - Face to face Interview

Duration: 12 Month Contract

Key Skills: Elastic Cloud (ESS), Observability & Monitoring, OpenTelemetry, Kubernetes (AWS/EKS), AWS Cloud, Python, JavaScript, Application Onboarding & Migration, CI/CD (Jenkins), APM Distributed Tracing

Additional Notes: Elastic Cloud (ESS) is already set up by the client. The primary responsibility is onboarding legacy and microservices-based applications into the existing Elastic environment for observability. Candidates must have experience with AWS, Kubernetes (EKS), and Python/JavaScript for log, metric, and trace integration

Job Description:

We are seeking a highly skilled Senior Observability Engineer with 9 years of experience

in designing, implementing, and optimizing enterprise observability solutions. The ideal

candidate will possess deep expertise in modern observability platforms, application

performance monitoring, Open Telemetry implementation and cloud technologies, with a

strong focus on improving system reliability, operational efficiency, and user experience.

Required Skills and Qualifications

9 years of experience in Application Performance Monitoring (APM), Observability,

and Monitoring Engineering.

Excellent knowledge about Deploying observably using Open Telemetry framework

Strong expertise in onboarding application in Elastic Search (;/p>

Strong knowledge of:

o Distributed tracing

o Log analytics

o Infrastructure and application monitoring

o Synthetic monitoring

o Real User Monitoring (RUM)

Experience developing automation using Python and JavaScript.

Experience integrating monitoring platforms with Jenkins and CI/CD pipelines.

Hands on experience in implementing Observability for Container based application

Strong understanding of observability architecture, SRE principles, and cloud-native monitoring practices.

Hands-on experience with AWS cloud platforms.

Knowledge of anomaly detection, Open Pipeline configuration, Business Events, and

AI-assisted observability.

Strong analytical, troubleshooting, and root cause analysis skills.

Experience designing scalable enterprise observability architectures.

Knowledge of license optimization and observability cost management.

Experience implementing AI-driven observability and automated incident management.

Excellent communication, stakeholder management, and cross-functional collaboration skills.

Passion for driving operational excellence through automation, proactive monitoring, and observability best practices.

Roles and Responsibilities

Analyze the existing observability solution deployed in Elastic cloud and understand

the gap;

Document ideal scenario versus existing deployment and recommend the changes required to bring the Observability solution to improve overall application monitoring implement end-to-end observability solutions for distributed and cloud-native applications; Work with development, Infrastructure and application support team to streamline the application monitoring using Elastic Cloud

Develop comprehensive monitoring strategies covering infrastructure, applications, logs, traces, metrics, and user experience.

Migrate application monitoring from legacy monitoring platforms (Dynatrace, Splunk,

Prometheus ) to modern observability platforms such as Dynatrace and Elastic.

Design and implement Elastic-based monitoring architectures, including data pipelines, storage, APM, dashboards, and advanced analytics.

Build custom extensions, automated workflows, and synthetic monitoring solutions using Python and JavaScript.

Integrate observability platforms with CI/CD pipelines (Jenkins and related tools) to automate monitoring, alerting, and incident management.

Configure OpenPipeline, Business Events, anomaly detection, and AI-driven analytics to improve operational visibility.

Optimize observability platform licensing, data ingestion, and storage costs while maintaining monitoring effectiveness.

Collaborate with Development, Infrastructure, and Operations teams to improve application reliability, performance, and operational excellence.

Conduct dashboard reviews, monitoring assessments, and observability maturity improvements across enterprise applications.

Support proactive monitoring, root cause analysis, incident response, and continuous

service improvement initiatives.

About Us WinningEdge:

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