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Sr Python Engineer Jobs in Sandston, VA (NOW HIRING)

Digital Links Inc

Senior DevOps Engineer

Ruther Glen, VA · Remote

$133K - $170K/yr

Role: Senior DevOps / Cloud Engineer ( AWS, GCP, AI Platform Operations) Location: Remote - DMV ... Strong hands-on experience with automation and scripting using Ansible and Python. * Experience ...

Richmond National

Sr. ML Engineer

Glen Allen, VA · On-site

$125K - $135K/yr

Job Title: Sr. ML Engineer Location: On-site in Glen Allen, VA We are seeking a skilled Sr. ML ... Strong data analytical skills using SQL, Python, Excel etc. * Experience in using Language Models ...

KYYBA Inc

Sr Java Backend engineer

Richmond, VA · On-site

$118K - $153K/yr

They are seeking a Senior Java Backend Engineer to work on a new development project focused on managing customer data and creating a self-service system, utilizing Java and Python along with cloud ...

Capital One

Senior Lead Data Engineer

Richmond, VA · On-site

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Capital One

Senior Lead Data Engineer

Richmond, VA

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Capital One

Senior Lead Data Engineer

Richmond, VA · On-site

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Capital One

Senior Lead Software Engineer

Richmond, VA · On-site

JavaScript, Java, TypeScript, SQL, Python, or Go * 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in open source frameworks * 1+ years of ...

Capital One

Senior Lead Data Engineer

Richmond, VA · On-site

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Capital One

Senior Lead Software Engineer

Richmond, VA · On-site

JavaScript, Java, TypeScript, SQL, Python, or Go * 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in open source frameworks * 1+ years of ...

AgileEngine

Senior Data Engineer ID75059

Richmond, VA · On-site

$104K - $142K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ...

AgileEngine

Senior Data Engineer ID75059

Richmond, VA · On-site

$103K - $141K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ...

Capital One

Senior Lead Data Engineer

Richmond, VA · On-site

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

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Showing results 21-40

All JobsSr Python Engineer JobsSr Python Engineer Jobs in Sandston, VA

Sr Python Engineer information

See Sandston, VA salary details

$22.5K

$137K

$198.2K

How much do sr python engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for sr python engineer in Sandston, VA is $136,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $161,000.00 per year, depending on experience, location, and employer.

What does a Sr Python Engineer do?

A Sr Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often lead projects, mentor junior engineers, and work on complex problems that require deep technical expertise. Their responsibilities may include writing efficient code, optimizing performance, integrating with APIs or databases, and ensuring the overall quality of software solutions. Additionally, they may collaborate with cross-functional teams to deliver robust and scalable applications.

What are the key skills and qualifications needed to thrive as a Sr Python Engineer?

To thrive as a Sr Python Engineer, you need advanced proficiency in Python programming, strong knowledge of software design patterns, and experience with scalable application development, often supported by a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure is typically required, with certifications in cloud or Python development considered a plus. Excellent problem-solving abilities, strong communication, and leadership skills help you collaborate effectively and mentor junior engineers. These competencies are critical for delivering robust, efficient solutions and driving technical excellence within development teams.

What are some common challenges Sr Python Engineers face when working on large-scale applications?

Sr Python Engineers often encounter challenges related to maintaining code quality and scalability as applications grow. Managing dependencies, ensuring optimal performance, and coordinating with cross-functional teams can be complex, especially in distributed systems. Additionally, integrating new technologies or frameworks while maintaining backward compatibility requires careful planning and communication. Proactive code reviews, clear documentation, and collaborative problem-solving are essential to overcoming these challenges.

What is the difference between Sr Python Engineer vs Python Developer?

AspectSr Python EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in Python, often some leadership skillsBachelor's degree in CS or related field, strong Python skills, often less emphasis on leadership
Work EnvironmentTeam lead, project architect, involved in system design and optimizationCode writing, feature development, bug fixing
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects

While both roles require strong Python skills, Sr Python Engineers typically have more experience, leadership responsibilities, and involvement in system architecture, whereas Python Developers focus more on coding and feature implementation.

What cities near Sandston, VA are hiring for Sr Python Engineer jobs?

Cities near Sandston, VA with the most Sr Python Engineer job openings:

Sr Python Engineer jobs near you
Infographic showing various Sr Python Engineer job openings in Sandston, VA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $136,977 per year, or $65.9 per hour.

Senior DevOps Engineer

Digital Links Inc

Ruther Glen, VA • Remote

$133K - $170K/yr

Contractor

Posted 7 days ago

Job description

Role: Senior DevOps / Cloud Engineer
(AWS, GCP, AI Platform Operations)
 
Location: Remote - DMV
 
Position Summary
We are seeking a highly skilled Senior DevOps / Cloud Engineer to support and enhance our existing AWS-based workloads while helping establish and expand our upcoming Google Cloud Platform (GCP) environment. This role requires deep hands-on expertise in cloud infrastructure, CI/CD, automation, application deployment, security, compliance-driven engineering, and AI platform deployment and configuration management.
The ideal candidate will have strong experience in designing, building, automating, and supporting cloud-native and hybrid environments across AWS and GCP. This individual must be capable of working independently, owning technical deliverables end-to-end, and driving implementation of reliable, secure, scalable, and compliant DevOps practices.
Key Responsibilities
  • Support, maintain, and optimize existing AWS cloud workloads and infrastructure.
  • Assist in building and operationalizing GCP support capabilities for new and future workloads.
  • Design, implement, and manage CI/CD pipelines for application and infrastructure delivery.
  • Deploy, manage, and troubleshooting applications across AWS and GCP environments.
  • Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python.
  • Implement and support Infrastructure as Code and environment standardization practices.
  • Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments.
  • Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services.
  • Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands-on AI application or model development.
  • Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar.
  • Monitor system health, availability, and performance, and proactively resolve operational issues.
  • Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.
Independently manage assigned work items, priorities, and deliverables with minimal supervision.
  • Contribute to platform engineering best practices, cloud governance, and automation strategy.
Required Qualifications
  • 10+ years of overall IT experience, with significant focus on DevOps, cloud engineering, systems engineering, or platform engineering.
  • Strong hands-on experience supporting and deploying workloads in AWS.
  • Working knowledge or hands-on experience with GCP, including deployment and support of applications and cloud services.
  • Proven experience designing and implementing CI/CD processes and tools in enterprise environments.
  • Strong hands-on experience with automation and scripting using Ansible and Python.
  • Experience deploying, configuring, and supporting applications in cloud environments.
  • Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development.
  • Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations.
  • Experience working in compliance-driven environments, such as FedRAMP, NIST-based environments, or similar regulated frameworks.
  • Experience with source control and DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub Actions, or similar platforms.
  • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong troubleshooting, problem-solving, and root cause analysis skills.
  • Excellent verbal and written communication skills.
  • Ability to work independently and deliver technical work items with minimal oversight.
Preferred Qualifications
  • Experience with Terraform, CloudFormation, or other Infrastructure as Code tools.
  • Experience supporting AI/ML infrastructure and operational environments in cloud platforms.
  • Experience supporting multi-cloud environments.
  • Familiarity with cloud networking, IAM, secrets management, logging, and observability tools.
  • Experience with security scanning, policy enforcement, and DevSecOps practices.
Experience supporting cloud-native AI services, MLOps-enabling infrastructure, GPU-based workloads, or model hosting environments.
  • Familiarity with services such as Amazon SageMaker, Vertex AI, container-based AI platforms, or similar technologies.
  • Experience in government, healthcare, or other highly regulated environments.
  • Relevant AWS and/or Google Cloud certifications are preferred.
Technical Skills
  • Cloud Platforms: AWS, GCP
  • Automation/Scripting: Ansible, Python, Bash
  • CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar
  • Source Control: Git
  • Infrastructure as Code: Terraform, CloudFormation, CDK, GCP Deployment Manager or similar
  • Containers/Orchestration: Docker, Kubernetes
  • Compliance/Security: FedRAMP, NIST, security hardening, audit support
  • Monitoring/Logging: Cloud-native and third-party monitoring and observability tools
Desired Characteristics
  • Self-starter with a strong ownership mindset.
  • Able to independently plan and execute technical tasks.
  • Detail-oriented with strong documentation discipline.
  • Comfortable working in fast-paced, evolving cloud environments.
  • Strong collaboration skills across engineering, security, and operations teams.