Agile Systems Engineer

2 months ago

Bloomington, Illinois, United States MITRE Full time
About the Role

We are seeking an experienced Agile Systems Engineer to join our dynamic team at MITRE. As a key member of our organization, you will play a critical role in driving digital transformation efforts and delivering complex solutions to our government customers.

Key Responsibilities
  • Develop innovative solutions as a full-stack developer, leveraging your expertise in frontend and backend applications and services.
  • Design and implement AI-Enabled Systems and tools to drive business value and improve government outcomes.
  • Collaborate with stakeholders from private, federal, state, and local sectors to deliver complex solutions using Software Development Lifecycle principles.
  • Build, administer, and manage processes that introduce DevOps concepts of testing, prototyping, security, automation, and more.
  • Treat all challenges as opportunities to learn, excel, and deliver state-of-the-art solutions to solve the nation's problems.
Requirements
  • Basic Computer Science or related discipline, plus 2 years of applicable DevOps and related software lifecycle experience, or equivalent combination of related education and work experience.
  • Must be a US citizen capable of obtaining and maintaining a US government clearance.
  • Professional experience in software development process, tools, and languages, including Java, Python, SQL, JavaScript, XML, JSON, HTML/CSS, Shell, C/C++, C#, Ruby, Go, MySQL, MongoDB, and Git.
  • Proficient in using software such as IntelliJ, VS Code, PyCharm, Eclipse, MySQL Workbench, and Git.
  • Experience with code merging and promotion, building, and managing CI/CD workflows and tools.
  • Understanding of microservices and distributed application architecture.
  • Key skills include Agile Development, CI/CD, SCRUM, and System Design.
  • Must have demonstrated proficiency and strength in verbal, written, presentation, and communications skills.
Preferred Qualifications
  • Preference given to qualified candidates with active clearance.
  • Experience in developing and implementing AI-Enabled systems and familiarity with Machine Learning algorithms and Deep Learning frameworks.
  • Knowledge of AI programming languages and platforms, such as TensorFlow, PyTorch, or Keras.
  • Experience with AI-related cloud services, like AWS SageMaker, Google AI Platform, or Azure Machine Learning.
  • Experience with Chef, Puppet, or Ansible and Docker-Compose in production environments.
  • Advanced understanding of architecting and automating cloud native technologies, provisioning IaC, IaaS, or SaaS, and deploying applications.
  • Advanced skills in Data Management, including proficiency in using advanced software, such as Hive, Hadoop, and Jenkins.

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