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Senior Python Engineer Jobs in Richmond, 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 ...

Capital One

Senior Lead Software Engineer

Richmond, VA · On-site

Senior Lead Software Engineer Do you love building and pioneering in the technology space? Do you ... Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and ...

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 · 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

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

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 ...

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 information and building scalable backend systems using Java and Python.

TEEMA

Senior Automation Engineer

Richmond, VA · Remote

$72.50/hr

... a seasoned Senior Automation Engineer to lead the rapid delivery of high-impact automation ... Write custom connectors or scripts using PowerShell, Python, or JSON to bridge gaps where out-of ...

Capital One

Senior Platform Engineer

Richmond, VA · On-site

$103K - $142K/yr

Senior Platform Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize scripting languages like Python, Bash, and others. * Container Orchestration services ...

Capital One

Senior Platform Engineer

Richmond, VA · On-site

$103K - $142K/yr

Senior Platform Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize scripting languages like HTML, Python, SQL, Robo-copy * Working knowledge of Container ...

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Showing results 21-40

All JobsPython Engineer JobsSenior Python Engineer JobsSenior Python Engineer Jobs in Richmond, VA

Senior Python Engineer information

See Richmond, VA salary details

$54.4K

$140.5K

$193K

How much do senior python engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior python engineer in Richmond, VA is $140,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $161,800.00 per year, depending on experience, location, and employer.

What does a senior Python engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the key skills and qualifications needed to thrive as a senior Python engineer, and why are they important?

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What are the common challenges senior Python engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.

What are popular job titles related to Senior Python Engineer jobs in Richmond, VA?

For Senior Python Engineer jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Senior Python Engineer jobs in Richmond, VA look for?

The top searched job categories for Senior Python Engineer jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Senior Python Engineer jobs?

Cities near Richmond, VA with the most Senior Python Engineer job openings:

Senior Python Engineer jobs near you
Infographic showing various Senior Python Engineer job openings in Richmond, VA as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $140,503 per year, or $67.5 per hour.

Senior DevOps Engineer

Digital Links Inc

Ruther Glen, VA • Remote

$133K - $170K/yr

Contractor

Posted 21 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.