Sr DevOps Engineer

10x National Security, LLC
Springfield, United States of America
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Springfield, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Architectural Patterns
Big Data
Cloud Engineering
Continuous Delivery
Continuous Integration
Data Architecture
Data Infrastructure
Data Security
DevOps
Distributed Systems
Geospatial Intelligence
Metadata
Metadata Repositories
Role-Based Access Control
Prometheus
Zero Trust Network Access
Systems Integration
Openapi
Policy as Code
Pulumi
Data Ingestion
Apigee
Event Driven Architecture
Gitlab-ci
Kubernetes
Kafka
Data Management
Machine Learning Operations
Api Design
Cloudwatch
Api Gateway
Terraform
Devsecops
Api Management

Job description

We are hiring a Senior DevOps Engineer to architect and operate mission-critical data platforms aligned to Intelligence Community modernization efforts, including NGA Core-style environments and federated data ecosystems.

This role is not infrastructure maintenance. This is platform ownership at scale, driving a zero-copy, API-first, DevSecOps-enabled data environment that supports real-time access to distributed commercial and government data.

You will be directly contributing to systems similar to the ICDC model, where:

  • Data is accessed in-place, not copied
  • Systems operate in unclassified, high-scale cloud environments
  • DevSecOps pipelines drive continuous delivery every 120 days or faster
  • Observability, API standardization, and automation are non-negotiable design principles

What You'll Own (Mission Responsibilities) Platform Engineering & DevSecOps

  • Build and operate Kubernetes-based platforms across AWS GovCloud or hybrid IC environments
  • Implement CI/CD pipelines aligned to government-hosted repos and secure pipelines
  • Drive infrastructure-as-code (IaC) using Terraform, Pulumi, or equivalent
  • Enable automated rebuild cycles and continuous delivery (ICDC standard cadence)

NGA Core / IC Data Environment Alignment Engineer solutions compatible with NGA Core architecture patterns, including:

  • Data mesh / federated data access
  • Secure API mediation layers
  • Multi-domain / multi-tenant environments Support API-first architectures using OpenAPI standards (OAS 3.1.1 alignment) Integrate with data catalogs, object stores, and distributed vendor APIs

Zero-Copy Data Infrastructure Design systems that:

  • Query data at origin (vendor or external systems)
  • Minimize replication and storage overhead
  • Support on-demand compute and caching layers only when necessary Build scalable API gateways and proxy layers for federated access

Observability & Performance Engineering Implement full-stack observability:

  • Metrics (Prometheus / CloudWatch)

  • Logs (ELK / OpenSearch)

  • Tracing (OpenTelemetry) Deliver real-time performance visibility aligned to IC expectations for:

  • API latency

  • Usage metrics

  • Vendor/system health

Security & Zero Trust Enforcement Implement Zero Trust Architecture (ZTA) controls:

  • RBAC / ABAC enforcement
  • Policy-as-code (OPA, Kyverno) Support privacy overlays and compliance controls (CNSSI 1253 alignment) Harden pipelines and runtime environments for IC-level compliance

Data Platform Integration Support:

  • API ingestion pipelines
  • Bulk data workflows (object storage, streaming)
  • Metadata indexing and harmonization Enable developer and analyst access layers (API + UI + automation)

Requirements

8+ years in DevOps / Platform Engineering / SRE Deep experience with:

  • Kubernetes (EKS or on-prem clusters)

  • CI/CD (GitLab CI)

  • Infrastructure as Code Experience in IC / DoD environments or equivalent regulated systems Strong understanding of:

  • API architectures

  • Distributed systems

  • Cloud-native patterns

Highly Desired (This is where you differentiate) Direct experience supporting NGA Core or GEOINT systems Experience with:

  • Federated data architectures / data mesh

  • API gateways (Kong, Apigee, AWS API Gateway)

  • Event-driven systems (Kafka, Kinesis) Familiarity with:

  • Zero-copy / query-in-place architectures

  • Large-scale data platforms (petabyte-scale or multi-vendor ecosystems) Experience implementing:

  • OpenAPI standards

  • Developer portals / API catalogs Exposure to AI/ML pipelines or platforms (Bedrock, Morpheus, etc.)

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