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Software Engineer Python Container Images Jobs in Purcellville, VA

GRVTY

Software Engineer

Chantilly, VA · On-site

Programming in Java and Python What You Must Have * 4-7 years of relevant experience * Demonstrated ... Demonstrated experience building Docker containers and images * Demonstrated experience ...

GRVTY

Software Engineer

Chantilly, VA · On-site

Programming in Java and Python What You Must Have * 4-7 years of relevant experience * Demonstrated ... Demonstrated experience building Docker containers and images * Demonstrated experience ...

GRVTY

Software Engineer

Chantilly, VA

Programming in Java and Python What You Must Have * 4-7 years of relevant experience * Demonstrated ... Demonstrated experience building Docker containers and images * Demonstrated experience ...

GRVTY

Software Engineer

Chantilly, VA · On-site

Programming in Java and Python What You Must Have * 4-7 years of relevant experience * Demonstrated ... Demonstrated experience building Docker containers and images * Demonstrated experience ...

Navstar

Software Engineer

Chantilly, VA · On-site

Our projects range from data collection to advanced deep learning, leveraging tools like Python ... Build and deploy applications using DevSecOps pipelines, container orchestration, and ...

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Software Engineer Python Container Images information

See Purcellville, VA salary details

$23.8K

$145K

$209.8K

How much do software engineer python container images jobs pay per year?

As of Jun 4, 2026, the average yearly pay for software engineer python container images in Purcellville, VA is $144,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $170,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Software Engineer specializing in Python and container images, and why are they important?

To thrive as a Software Engineer focusing on Python container images, you need strong proficiency in Python programming, containerization concepts, and experience with Linux systems, often supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms, as well as certifications such as Docker Certified Associate, is highly valuable. Problem-solving, collaboration, and effective communication are standout soft skills for building efficient, secure, and scalable containerized applications. These competencies are crucial to ensure reliable deployment, seamless teamwork, and continuous delivery in modern software development environments.

What are some typical challenges faced by Software Engineers working with Python container images, and how can they be addressed?

Software Engineers focusing on Python container images often face challenges such as optimizing image size, managing dependencies, and ensuring security. Large images can slow down deployments, so it's important to use multi-stage builds and minimize unnecessary packages. Dependency management is crucial to avoid version conflicts, which can be mitigated by using virtual environments and specifying exact versions in requirements files. Security is also a concern; regularly updating base images and scanning for vulnerabilities can help maintain robust and secure containers.

What does a Software Engineer specializing in Python container images do?

A Software Engineer specializing in Python container images develops, optimizes, and maintains containerized applications using Python. They create Docker images or similar container formats to package Python applications along with their dependencies, ensuring consistent and portable deployment across different environments. Their responsibilities may also include automating build pipelines, troubleshooting container issues, improving image security, and collaborating with DevOps teams to streamline deployment processes.

What is the difference between Software Engineer Python Container Images vs Software Engineer Python Cloud Infrastructure?

AspectSoftware Engineer Python Container ImagesSoftware Engineer Python Cloud Infrastructure
FocusCreating, optimizing, and managing container images for Python applicationsDesigning and maintaining cloud-based infrastructure supporting Python applications
SkillsDocker, containerization, Python, CI/CD pipelinesCloud platforms (AWS, Azure), infrastructure as code, Python
Work EnvironmentDevOps teams, container registries, CI/CD pipelinesCloud environments, infrastructure management tools
CertificationsDocker Certified Associate, Python certificationsAWS Certified Solutions Architect, Azure Solutions Architect

While both roles involve Python, Software Engineer Python Container Images focus on building and managing container images for deployment, whereas Software Engineer Python Cloud Infrastructure centers on designing and maintaining cloud environments supporting Python applications.

Software Engineer Python Container Images jobs near you

Software Engineer - Python

M1 Technology

Chantilly, VA

Full-time

Posted 22 days ago

Job description

M1 Technology is seeking a Software Engineer - Python with experience with experience implementing solutions using Amazon Web Services (AWS).

Requires TS/SCI with polygraph

Responsibilities:

  • Design, develop, and deploy cloud-native solutions using Python, leveraging AWS services like Lambda, S3, EC2, EventBridge, and DynamoDB.
  • Apply expertise in programming, operating systems, and networking to address complex collection needs within cloud environments.
  • Implement and maintain robust unit tests to ensure high-quality, reliable, and scalable software performance.
  • Work with container technologies to support application deployment and efficient resource management.
  • Collaborate with engineering teams to integrate software components, supporting automated systems and cloud infrastructure.

Required Skills:

  • Demonstrated experience leveraging a background in programming, software tools and packages, operating systems, and networking to solve collection needs in cloud environments
  • Demonstrated experience with Python
  • Demonstrated experience with cloud services, to include Lambda, S3, Batch, EC2, EventBridge, SQS/SNS, IAM, DynamoDB, and containers
  • Experience writing unit tests