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  5. Senior ML Observability Engineer with Security Clearance
Episcopal Community Services of San Francisco logo

Senior ML Observability Engineer with Security Clearance

Not Disclosed•ContractorOn-site

location_on9115, Santayana Drive, Mantua, Fairfax County, Virginia, 22031, United States

Apply Now

About the Team

ECS Federal LLC is the federal segment of a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value attracting and developing top talent, fostering a culture that is engaging, accountable, and mission-driven.

The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. Extending to Unclassified, Secret, and Top Secret environments, the platform supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts.

About the Role

This position is contingent upon contract award. As a Senior ML Observability Engineer, you will architect and govern the instrumentation and telemetry infrastructure needed to ensure production AI and machine learning models deployed across WDP's multi-enclave environment perform reliably and securely at mission scale. You will be essential to maintaining real-time visibility into model behavior, pipeline execution, and cross-domain access interactions in direct support of Combatant Command and Joint Staff decision-making needs.

In this role, you will design observability architectures supporting AI and machine learning model-serving operations across Unclassified, Secret, and Top Secret enclaves. You will develop semantic conventions and telemetry pipelines that generate latency metrics, error signatures, and operational readiness measurements. Your work will integrate observability capabilities into existing data pipelines and model-deployment workflows to provide mission-relevant monitoring. You will also conduct observability readiness reviews and collaborate with cybersecurity personnel to embed anomaly-detection signals aligned with Zero Trust and DoW cyber standards.

Hiring Process

Please note that this position is contingent upon contract award. Candidates must possess a current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).

Location

This role is based in the National Capital Region, covering the Pentagon, Falls Church, and Fairfax.

Equal Opportunity

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis of any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, or local jurisdiction law.

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Frequently asked questions about Senior ML Observability Engineer with Security Clearance at Episcopal Community Services of San Francisco

What does a Senior ML Observability Engineer with Security Clearance at Episcopal Community Services of San Francisco do?expand_more
A Senior ML Observability Engineer with Security Clearance at Episcopal Community Services of San Francisco is responsible for the following: Design and govern observability architectures for AI/ML models across classified enclaves; Develop semantic conventions and telemetry pipelines for model performance monitoring; Integrate observability capabilities into data pipelines and model-deployment workflows; and Configure and validate instrumentation using OpenTelemetry, Prometheus, and Grafana.
What are the requirements for this Senior ML Observability Engineer with Security Clearance role?expand_more
Episcopal Community Services of San Francisco is looking for candidates who meet the following requirements: Current Secret security clearance with ability to obtain Top Secret (TS) with Sensitive Compartmented Information (SCI); 10+ years of progressive experience in systems engineering, platform operations, or ML/AI infrastructure; Hands-on experience with OpenTelemetry, Prometheus, Grafana, Elastic, Splunk, or Amazon CloudWatch; Experience operating across multi-enclave environments (NIPRNet, SIPRNet, JWICS); and CompTIA Cloud+ certification or equivalent.
Where is the Senior ML Observability Engineer with Security Clearance role at Episcopal Community Services of San Francisco located?expand_more
Senior ML Observability Engineer with Security Clearance at Episcopal Community Services of San Francisco is based in 9115, Santayana Drive, Mantua, Fairfax County, Virginia, 22031, United States. This is a on-site role.
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Work location

Work model: On-site

location_on

9115, Santayana Drive, Mantua, Fairfax County, Virginia, 22031, United States

Mantua, Virginia

Key Responsibilities

  • check_circleDesign and govern observability architectures for AI/ML models across classified enclaves
  • check_circleDevelop semantic conventions and telemetry pipelines for model performance monitoring
  • check_circleIntegrate observability capabilities into data pipelines and model-deployment workflows
  • check_circleConfigure and validate instrumentation using OpenTelemetry, Prometheus, and Grafana
  • check_circleConduct observability readiness reviews and embed anomaly-detection signals for security
  • check_circleCollaborate with engineering teams to maintain observability consistency across enclaves
  • check_circleProduce instrumentation standards, dashboards, and performance analysis reports

Requirements

  • verifiedCurrent Secret security clearance with ability to obtain Top Secret (TS) with Sensitive Compartmented Information (SCI)
  • verified10+ years of progressive experience in systems engineering, platform operations, or ML/AI infrastructure
  • verifiedHands-on experience with OpenTelemetry, Prometheus, Grafana, Elastic, Splunk, or Amazon CloudWatch
  • verifiedExperience operating across multi-enclave environments (NIPRNet, SIPRNet, JWICS)
  • verifiedCompTIA Cloud+ certification or equivalent

Nice to Have

Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility. Advanced cloud certification such as AWS Solutions Architect (Professional), AWS DevOps Engineer (Professional), or an equivalent credential. Practical experience with AI/ML model monitoring concepts including model drift detection, performance degradation alerting, and model validation pipelines using frameworks such as TensorFlow, PyTorch, or MLflow. Familiarity with Zero Trust Architecture principles and Risk Management Framework (RMF) requirements. Experience contributing to DevSecOps pipelines and CI/CD workflows in support of production AI/ML model deployment.

Episcopal Community Services of San Francisco logo
Company

Episcopal Community Services of San Francisco

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

10+ yrs (Lead)

Job Type

Contractor

Skills Required

Machine LearningArtificial IntelligenceOpen TelemetryPrometheusGrafanaElasticSplunkAmazon CloudwatchComp Tia Cloud+Aws Solutions Architect

Peraton • Herndon, Virginia

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Is this Senior ML Observability Engineer with Security Clearance job remote, hybrid, or on-site?expand_more
Episcopal Community Services of San Francisco has listed this Senior ML Observability Engineer with Security Clearance role as on-site.
How much experience is required for this Senior ML Observability Engineer with Security Clearance role?expand_more
Senior ML Observability Engineer with Security Clearance at Episcopal Community Services of San Francisco typically requires 10+ years of relevant experience at the lead level.
What skills do you need for the Senior ML Observability Engineer with Security Clearance role at Episcopal Community Services of San Francisco?expand_more
Key skills for Senior ML Observability Engineer with Security Clearance at Episcopal Community Services of San Francisco include Machine Learning; Artificial Intelligence; Open Telemetry; Prometheus; Grafana; Elastic; Splunk; and Amazon Cloudwatch.
What category does the Senior ML Observability Engineer with Security Clearance role belong to?expand_more
Senior ML Observability Engineer with Security Clearance at Episcopal Community Services of San Francisco is part of the it job category on Recrutus.
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