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Sr. Software Engineer (Python, Docker/Kubernetes)

Themis InsightLaurel, MD

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

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

Description:

The software engineer 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.

Essential Duties and Responsibilities:

  • 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.

Individual Capabilities/Experience Required:

  • 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

Individual Capabilities/Experience Desired:

  • AWS
  • Machine learning

Themis Insight has all the PERKS!

You are our most valuable resource — your ambition, your knowledge, your creativity. We offer an industry-leading set of benefits to supplement your normal salary compensation. Themis Insight has you covered with flexible ways to balance work and home life, full health benefit premium coverage, and generous contributions toward your retirement.

  • 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

Themis Insight is an Equal Opportunity/Affirmative Action employer.

Themis Insight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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FAQs About Sr. Software Engineer (Python, Docker/Kubernetes) Jobs at Themis Insight

What is the work location for this position at Themis Insight?
This job at Themis Insight is located in Laurel, MD, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Themis Insight?
Employer has not shared pay details for this role.
What employment applies to this position at Themis Insight?
Themis Insight lists this role as a Full-time position.
What experience level is required for this role at Themis Insight?
Themis Insight is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Themis Insight for this role?
Themis Insight offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Paid Holidays, Paid Vacation, Career Development, 401k Matching/Retirement Savings, Tuition/Education Assistance, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Themis Insight?
You can apply for this role at Themis Insight either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.