SCI Clearance)

SBS•Chantilly, VA

2d•Hybrid

About The Position

We are seeking an SRE / DevOps & Release Engineer to own the deployment, reliability, observability, and operation of secure AWS environments supporting an advanced Agentic AI platform. This is a hands-on engineering position combining DevOps, Site Reliability Engineering, platform engineering, and release automation. The engineer will own the path from local development through production deployment into AWS Kubernetes environments, as well as the operational health and reliability of those environments. The platform is currently operating within IATT environments and progressing toward scale and ATO. At the current team size, build/release and production operations are intentionally combined — the engineer responsible for deploying the platform also has responsibility for ensuring that it operates reliably. The environment includes AWS EKS, CDK, Kubernetes, Helm, Flux GitOps, container registries, Envoy Gateway, distributed tracing, and modern observability technologies.

Requirements

Current and active TS/SCI security clearance
Current Security+ certification or equivalent certification supporting privileged-user access.
3+ years of professional experience in Site Reliability Engineering, DevOps, Platform Engineering, Cloud Engineering, or Infrastructure Engineering.
Hands-on experience operating Kubernetes in production environments.
Experience authoring and maintaining Helm charts.
Experience implementing GitOps-based continuous delivery using Flux, Argo CD, or equivalent technologies.
Hands-on AWS experience with services such as EKS, RDS, S3, IAM/IRSA, and ECR.
Experience developing and maintaining Infrastructure as Code.
Experience working with TypeScript/AWS CDK or demonstrated ability to work within a TypeScript-based IaC environment.
Experience implementing and utilizing production observability and distributed-tracing technologies such as OpenTelemetry, Grafana, and Tempo.
Demonstrated experience diagnosing infrastructure and application failures using telemetry, logs, metrics, and traces.
Experience leading incident investigation, root-cause analysis, remediation, and validation.
Proficiency with Python or another scripting language for infrastructure automation and operational tooling.
Strong understanding of CI/CD, containers, networking, security, and modern cloud architecture.

Nice To Haves

TS/SCI with Poly
Experience implementing registry-based GitOps architectures utilizing ECR or similar container registries.
Experience troubleshooting Flux and Helm reconciliation issues, including HelmRelease failures and configuration drift.
Experience deploying and operating ML/LLM-serving infrastructure such as KServe, MLflow, or model-inference endpoints.
Experience supporting AI or Agentic AI platforms.
Familiarity with Amazon Bedrock, LLM services, MCP tools, and agent-based architectures.
Ability to analyze model and agent performance characteristics such as latency, token utilization, and cost using distributed traces.
Experience with Envoy, API gateways, routing, certificate management, and TLS.
Experience supporting secure Federal or Intelligence Community AWS environments.
Experience supporting systems through IATT and ATO processes.
Experience using AI coding assistants while independently validating generated code and infrastructure changes before deployment.
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent practical experience.

Responsibilities

Design, build, maintain, and operate highly available AWS infrastructure supporting an Agentic AI platform.
Own the software delivery lifecycle from local development through build, test, packaging, promotion, and deployment into AWS environments.
Deploy and operate Kubernetes workloads in production AWS EKS environments.
Author, maintain, and troubleshoot Helm charts supporting platform applications and services.
Build and maintain GitOps-based continuous delivery utilizing Flux, Helm, and container registries.
Develop and maintain Infrastructure as Code using AWS CDK and TypeScript.
Build and manage AWS infrastructure utilizing EKS, RDS, S3, IAM/IRSA, ECR, and related AWS services.
Build and maintain container-image and Helm-chart promotion processes.
Configure and support Envoy Gateway routing, certificates, and TLS.
Implement and operate observability and distributed-tracing capabilities utilizing OpenTelemetry, Grafana, Tempo, or equivalent technologies.
Establish cross-service tracing to provide end-to-end visibility into distributed application and agent workflows.
Monitor cluster, application, and service health and proactively identify reliability issues.
Diagnose failed or stuck Helm and Flux reconciliations, configuration drift, pod failures, and deployment issues.
Lead production incident investigation and root-cause analysis using Kubernetes state, logs, metrics, and distributed traces.
Develop preflight validation, diagnostic, QA, and operational tooling.
Automate infrastructure and operational processes using Python and other scripting technologies.
Support credential, certificate, and secrets rotation.
Partner with software engineers and AI/ML teams to deploy and operate agentic applications, model-serving infrastructure, and supporting services.
Support platform security, compliance, IATT, and ATO activities.
Use AI-assisted development tools to accelerate engineering while independently validating generated code and configuration before deployment.
Drive an engineering approach based on measurable evidence, automated testing, telemetry, and verification.

Benefits

Comprehensive medical, dental, and vision coverage; HSA-eligible plan options available
401(k) retirement plan with company match (vesting schedule per Plan Document)
Paid Time Off, federal holidays, and floating holiday for personal observance
Annual professional development support for AWS certifications, training, and conferences
Employee referral program where applicable and documented by program policy
Life, AD&D, and short- / long-term disability insurance
Telework and flexible-schedule support where mission and contract permit

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