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  • SRE/MLOps Engineer

    SAIC (VA)



    Apply Now

    Description

    We are seeking a versatile **SRE/MLOps Engineer with DevSecOps expertise** to design, automate, and operate secure, scalable, and repeatable **model deployment workflows** across the AI/ML Common Services environment. This role bridges **infrastructure reliability, CI/CD automation, and model operations** , enabling IRS mission teams to move from experimentation to production with confidence.

     

    The engineer will not only support **ML lifecycle operations** (Databricks, MLflow, AWS SageMaker/Bedrock) but also bring **DevSecOps rigor** to ensure compliance, monitoring, and infrastructure-as-code are embedded in every step. By partnering with Infrastructure, Security, and Architecture teams, this role ensures the AAP environment is **resilient, automated, and compliance-ready** at enterprise scale.

    Key Responsibilities:

    + Enable **secure, scalable, and repeatable** deployment workflows for both ML models and supporting infrastructure.

    + Build and maintain **runtime environments, service accounts, orchestration logic** for Databricks, MLflow, and AWS AI services.

    + Implement and maintain **CI/CD pipelines** (Bitbucket, Bamboo, Jenkins, or equivalent) for code, data, and model deployments.

    + Apply **DevSecOps practices** — integrating security scans, compliance checks, and audit logging into deployment pipelines.

    + Collaborate with **Infrastructure DSO** and **Solutions Architect** to integrate Terraform-based IaC for consistent, automated provisioning.

    + Implement **observability, alerting, and logging** (CloudWatch, Datadog, Prometheus) to monitor both application and ML workloads.

    + Align infrastructure with ML lifecycle needs — including staging, promotion, rollback, retraining, and compliance-aware tracking.

    + Develop **automation templates, reusable workflows, and guardrails** to accelerate onboarding of mission team models while ensuring security.

    + Contribute to **incident response, performance tuning, and reliability engineering** across ML and non-ML workloads.

    Qualifications

    Required Qualifications:

    + Bachelor’s or master’s degree in computer science, Data Engineering, or a related technical discipline.

    + 5+ years of experience in **Site Reliability Engineering, DevOps, or MLOps** with production-grade systems.

    + Must be a U.S. Citizen with the ability to obtain and maintain a Public Trust security clearance.

    + Hands-on experience with **Databricks, MLflow, or AWS SageMaker/Bedrock** for ML model lifecycle operations.

    + Strong proficiency in **Terraform, CI/CD pipelines** , and container orchestration (Docker, Kubernetes).

    + Experience implementing **security automation** (e.g., IaC scanning, container security, SAST/DAST tools) within CI/CD workflows.

    + Solid understanding of **observability stacks** (logs, metrics, tracing) and best operational practices.

    Desired Skills:

    + Active IRS clearance highly desired.

    + Experience in **federal or regulated environments** with security, audit, and compliance requirements (FedRAMP, NIST 800-53).

    + Knowledge of **Trustworthy AI monitoring** (bias detection, drift monitoring, explainability).

    + Familiarity with **Unity Catalog, Delta Lake, and data pipeline orchestration** in Databricks.

    + Hands-on experience with **Zero Trust security models** and secure boundary implementations.

    + Relevant certifications such as:

    + **Databricks Certified Machine Learning Professional.**

    + **AWS DevOps Engineer – Professional.**

    + **Certified Kubernetes Administrator (CKA).**

    + **Security+ or equivalent security cert.**

     

    Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

    REQNUMBER: 2508971

    SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

     


    Apply Now



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