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Bespoke is an IT services company that provides digital transformation, IT consulting, systems engineering, cloud, and cybersecurity solutions for the US federal, homeland security, and defense sectors.

BT-403 - Platform Engineer

Herndon, VA(fully on-site, no remote option)

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

As an Infrastructure Engineer in this role, you will be responsible for architecting and maintaining scalable, resilient systems that support high-volume data alerting within a dynamic, fast-paced environment. You will leverage your expertise in Kubernetes to orchestrate containerized workloads, ensuring seamless deployment and management of applications. Your day-to-day responsibilities will include optimizing cloud infrastructure on AWS, utilizing services such as EKS, EC2, and S3, and implementing infrastructure as cod with Terraform to automate provisioning and configuration. You will also be tasked with designing robust routing and DNS solutions to guarantee high availability and performance across distributed systems.

Success in this position will be driven by your hands-on experience with messaging platforms like RabbitMQ and Kafka, which are essential for handling large-scale data streams and ensuring reliable communication between services. You will benefit from familiarity with monitoring and observability tools such as Grafana, as well as logging and alerting frameworks that enable proactive incident response. Exposure to DevOps methodologies will be crucial, as you will collaborate closely with development teams to streamline CI/CD pipelines and enhance operational efficiency. Your ability to troubleshoot complex issues and implement best practices in cloud security and automation will set you apart in this challenging and rewarding role.

Desired Skills:

  • Kubernetes
  • RabbitMQ
  • Kafka
  • DevOps
  • EKS
  • AWS
  • EC2
  • S3
  • Terraform
  • Routing
  • DNS
  • Grafana
  • Logging
  • Alerting

Preferred Skills/Experience:

  • Experience with scalable applications on Kubernetes
  • Experience handling high volume data alerts
  • Experience working on large projects in complex, fast-paced environments
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