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Site Reliability Engineer
6 days ago
Site Reliability Engineer
Reston, VA
- Full time
You'll work with the DoD on the development of more robust systems for by building a resilient infrastructure. You'll build in redundancy, implement monitoring tools, and automate wherever possible. You'll reduce toil by scripting routine tasks and automating self-repair.
You'll work on development of tools and processes to drive DevSecOps maturity by automating infrastructure provisioning, software builds, regression testing, monitoring, and pushing releases across environments.
This is your chance to leverage your expertise in building enterprise cloud-native solutions involving Kubernetes, Rancher, AWS, and Azure.You will apply advanced consulting skills or extensive technical expertise; full industry knowledge to develop innovative solutions to complex problems.
As a DevOps Site Reliability Engineer, you will use your development experience to write infrastructure as code and deploy using industry best practices like GitOps and CI/CD in a hybrid cloud environment.
You will lead efforts to incorporate open source tools, automation, and cloud resources to cut down on tedious, boring tasks and free up the team's developers to do what they do best – innovate.
Join us as we help the DoD.This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.
DescriptionYou Have:
- Experience working in Linux environments, while supporting production enterprise applications
- Experience with large distributed, highly available environments and container technologies, including Docker, Kubernetes
- Experience with declarative Infrastructure as Code tools, including Puppet, Terraform, and Ansible
- Experience with GitOps and CI/CD tools including ArgoCD, Gitlab CI, or Jenkins
- Experience with Python, Microservices, Serverless, MLOps, AIOps, and Bash shell scripting
- Ability to dive deep into all aspects of the stack to identify and fix problems and troubleshoot
You Have:
- Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch
- Experience of software development processes and code management tools and processes
- Experience with Prometheus and Grafana or other monitoring tools
- Knowledge of full stack infrastructure, rollout management of stack, differences between managing kubernetes and Cloudera stack
- Ability to collaborate across multiple teams, in an organized manner
- Ability to prioritize tasks, communicate affectively, and can raise risks to senior leadership and balance team skillsets
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
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