Software Platform Engineering Lead in McLean, VA at Booz Allen Hamilton Inc.

Date Posted: 10/6/2018

Job Snapshot

  • Employee Type:
  • Location:
    McLean, VA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:

Job Description

Job Number: R0034419

Software Platform Engineering Lead

Key Role:
Lead a software development team that responsible for building a software platform. Work with management to define, scope, and manage the product roadmap and feature backlog. Work with senior data scientists to incorporate leading algorithms and models into the design of the platform. Conceive, design, prototype, and test new architectures and development approaches. Define architecture requirements and performance standards to meet or exceed management and customer specifications. Lead the research and development of prospective applications and products. Represent the employer at trade shows, seminars, industry panels, and user group meetings and interact with customers regarding strategies, requirements, problem solving, and support.

Basic Qualifications:
-10+ years of experience coding in object-oriented languages, including Java, Ruby, Python, and C# and choosing the right language for a given project
-7+ years of experience with designing architectures for high-availability, multi-tenant, Cloud-based SaaS applications
-Experience with writing front-end applications in HTML, CSS, and JavaScript and leading JavaScript frameworks, including Angular or React
-Experience with leading teams of 10+ software developers
-Experience with developing applications that can run on public Cloud, hybrid Cloud, and on-premise environments
-Ability to obtain a security clearance
-BA or BS degree

Additional Qualifications:
-Experience with designing APIs for internal application use and 3rd party access
-Experience with conveying complex technical concepts to senior leaders
-Experience in collaborating with UI designers and UX researchers
-Experience in collaborating with data scientists
-Experience with Agile, Kanban, and continuous deployment methodologies
-Experience with modern DevOps tools and best practices, including continuous integration
-Experience with Big Data technologies, including Hadoop and Apache Spark
-Experience with machine learning
-Experience with deep learning
-Experience with GPU computing
-Ability to leverage a product mindset
-MA or MS degree in CS, Engineering, or a related field
-AWS Certified Solutions Architect Certification

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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