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Senior Software Engineer

2 months ago

Bethesda, Maryland, United States Leidos Full time
Job Description

Overview

Leidos is seeking a highly skilled Senior Software Engineer to join our team in supporting our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.

Key Responsibilities

  • Design, implement, maintain, and monitor data pipelines, both in support of R&D prototypes and production pipelines.
  • Collaborate with cross-functional teams, including development, product, and QA, in a dynamic and fast-paced environment.
  • Develop software primarily written in Python, with a focus on data engineering and cloud native deployment paradigms.
  • Work closely with infrastructure and network engineers, data scientists, and system engineers on key tasks, including:
    • Developing and maintaining software that integrates with backend database technologies such as Elasticsearch and PostgreSQL/MariaDB.
    • Designing and developing Python-based HTTP services that incorporate aspects of scalable systems, including asynchronous programming, load balancing, concurrency, authentication/authorization, and fault tolerance.
    • Deploying software in an AWS cloud with technologies like EC2, Amazon Aurora, Lambda, and Kubernetes.
  • Collaborate with stakeholders and other software professionals to create high-quality solutions.

Requirements

  • Bachelor's Degree and 12-15 years of prior relevant experience or Masters with 10-13 years of prior relevant experience. Additional years of experience will be considered in lieu of degree.
  • Must possess TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph.
  • Experience designing, developing, and maintaining software primarily written in Python.
  • Experience with RDBMS based backends such as PostgreSQL and MariaDB.
  • Experience writing web-based REST services that utilize the HTTP protocol.
  • Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc.
  • Experience with DevOps / MLOps, using CI/CD methodology with data pipelines, and cloud-native deployment paradigms.
  • Experience with database design, implementation, maintenance, monitoring, performance tuning, and optimization.
  • Expertise in data profiling techniques and understanding the content from both a data quality and business perspective.
  • Experience with data quality and accuracy evaluation techniques.
  • Experience with Agile practices.

Preferred Qualifications

  • An active TS/SCI with Polygraph clearance.
  • Experience supporting data teams and data scientists.
  • Experience on a production/enterprise system.
  • Experience in air-gapped environments.
  • Application development and deployment in an AWS environment.
  • AWS and/or Elasticsearch certifications.