Platform Operations Engineer (TS/SCI) — Kubernetes & Cloud

SUNAYU

Chevy Chase (MD)

Hybrid

USD 120,000 - 170,000

Full time

21 hours ago
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Job summary

Sunayu, LLC is seeking a Platform Operations Engineer to maintain a containerized, microservices-driven OSINT platform. You will ensure uptime, performance, and reliability while collaborating with engineers, developers, and system admins on a mission-focused team at a customer site in Bethesda, MD, with flexible scheduling and some remote work.

The role requires TS/SCI clearance, DoD 8570 IAT II+ certification, and hands-on experience with Kubernetes, cloud services (AWS), Elasticsearch stack,

Qualifications

  • Active TS/SCI clearance with ability to obtain polygraph.
  • 8+ years of relevant experience or 6+ years with a Master's.
  • Experience with Kubernetes, Linux, and containerized environments.
  • Experience supporting enterprise-scale production systems.

Responsibilities

  • Ensure uptime, performance, and capacity planning for a large-scale platform.
  • Lead incident response, troubleshooting, root cause analysis, and post-incident reviews.
  • Define and track reliability metrics (SLIs/SLOs) for the platform.
  • Participate in SAFe Agile release planning and cross-team coordination.

Skills

Kubernetes
GitLab pipelines
Linux
CI/CD
Cross-functional coordination
Strong communicator
Incident response

Education

BS in Engineering, CS, Systems Engineering, or related field

Tools

Elasticsearch
PostgreSQL
Logstash
Kibana
Keycloak
Appian
Kafka
Prometheus
Grafana
Terraform
CloudFormation
Pulumi
AWS
Nexus
GraphQL
SALT

Job description

Sunayu, LLC is seeking a Platform Operations Engineer to maintain a containerized, microservices-driven OSINT platform. You will ensure uptime, performance, and reliability while collaborating with engineers, developers, and system admins on a mission-focused team at a customer site in Bethesda, MD, with flexible scheduling and some remote work.

The role requires TS/SCI clearance, DoD 8570 IAT II+ certification, and hands-on experience with Kubernetes, cloud services (AWS), Elasticsearch stack,

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