Sr. Software Engineer (Python, Docker/Kubernetes)

Themis InsightLaurel, MD
Onsite

About The Position

Themis Insight solves difficult business, IT, and analytic problems by addressing the whole problem – not just the symptoms – using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case. We are hiring a Sr. Software Engineer (Python, Docker/Kubernetes) to work in Laurel, MD and Linthicum Heights, MD . Position location is subject to change based on central MD client's needs. Required: TS/SCI with a Polygraph

Requirements

  • Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
  • Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
  • Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
  • Experience with Python
  • Experience with Docker and/or Kubernetes
  • TS/SCI with a Polygraph

Nice To Haves

  • Experience with AWS
  • Machine learning

Responsibilities

  • Develops, maintains, and enhances complex and diverse software systems based upon documented requirements.
  • Works individually or as part of a team.
  • Reviews and tests software components for adherence to the design requirements and documents test results.
  • Resolves software problem reports.
  • Utilizes software development and software design methodologies appropriate to the development environment.
  • Provides specific input to the software components of system design to include hardware/software tradeoffs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.
  • Implement data pipelines at scale, including both the synthesizing of new pipelines and the refactoring of existing pipelines to improve efficiency and code correctness.
  • Monitor and improve existing data science tools in support of transition from development to production systems.
  • Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but limited to, PyTorch, NumPy, Pandas, and Scikit-learn.
  • Train, test, track and curate models using standard tools and practices.
  • Integrate GitOps for continuous integration and deployment of models using Docker scaling.
  • Use AWS services such as EC2, S3, and RDS for building and deploying applications.
  • Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools to enhance, implement, and maintain the Security Management/Monitoring services and capabilities within the Agency IT Enterprise.
  • Document all processes and code; provide comprehensive reports on the completed tasks.

Benefits

  • Competitive health, dental, and vision plans with 100% paid premiums.
  • 401k: We contribute 6% even if you don't!
  • Time Off: 11 standard holidays, and 25 days of PTO
  • Career Development: Get career counseling and individualized career development plans, including education and training.
  • Employee referral bonuses for successful hires
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