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Python Automation Developer Jobs in Virginia Beach, VA

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$12

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How much do python automation developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for python automation developer in Virginia Beach, VA is $55.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $63.17 per hour, depending on experience, location, and employer.

What is the difference between Python Automation Developer vs QA Automation Engineer?

AspectPython Automation DeveloperQA Automation Engineer
Primary FocusDeveloping automation scripts and tools using Python for various applicationsDesigning and implementing automated tests to ensure software quality
Skills & CertificationsPython programming, scripting, automation frameworksTesting tools, scripting, Python knowledge often preferred
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing environments
Industry UsageTech companies, software firms, automation service providersSoftware companies, QA departments, testing service providers

While both roles involve Python scripting, the Python Automation Developer primarily creates automation solutions across various domains, whereas the QA Automation Engineer focuses on automating tests to improve software quality. The roles often overlap but differ in their core objectives and work environments.

What job categories do people searching Python Automation Developer jobs in Virginia Beach, VA look for? The top searched job categories for Python Automation Developer jobs in Virginia Beach, VA are:
Python Automation Developer jobs near you

Sr. Elastic Engineer

Electronic Consulting Services, Inc (ECS Federal)

Hampton, VA

$103.50K - $142.20K/yr

Other

Posted 4 days ago

Job description

Job Description
Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Hampton, VA . This position is contingent upon additional funding.
Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will implement, optimize, and maintain Elastic Stack environments at scale while contributing to architecture, automation, and integrations that improve reliability, performance, and operational efficiency.
We are seeking a Sr. Elastic Engineer to join our Professional team. The ideal candidate has hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows.
Key Responsibilities:
  • Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet.
  • Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows.
  • Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring.
  • Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, Google Cloud Platform), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).
  • Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks.
  • Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources.
  • Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability.
  • Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams.
  • Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices.
  • Stay current with Elastic features, certifications, and emerging platform capabilities.

Required Skills
  • Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
  • Strong scripting and automation skills (Python, PowerShell, Bash, etc.).
  • Solid understanding of observability, logging, metrics, and distributed systems.
  • Experience designing, deploying, and optimizing production-scale Elastic environments.
  • Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, Google Cloud Platform).
  • Ability to mentor, guide, and influence engineering teams on Elastic best practices.
  • Outstanding verbal and written communication skills.
  • Willingness and ability to support domestic or international on-site engagements.
  • U.S. Passport required.
  • Must have a Secret Clearance, at minimum.

Desired Skills
  • Familiarity with SIEM concepts, Elastic Security, or other SIEM/EDR platforms.
  • Experience with containerization and orchestration (Kubernetes, Docker, OpenShift).
  • Experience with automation/orchestration tools (Terraform, Ansible, CI/CD pipelines).
  • Familiarity integrating Elastic with endpoint telemetry or cloud-native tools.
  • Certifications (preferred):
    • Elastic Certified Engineer, Elastic Security Engineer, Elastic Observability Engineer
    • AWS Certified Solutions Architect or equivalent
    • Docker Certified Associate (DCA)
    • Certified Kubernetes Administrator (CKA)
    • HashiCorp Certified: Terraform Associate
    • Red Hat Certified Specialist in Ansible Automation
  • Prior experience in DevOps, Site Reliability Engineering, or cloud platform roles is a plus.
  • Experience designing dashboards, observability frameworks, and large-scale workflows.
  • Experience with the below:
    • Platforms: On-premises, Public Cloud (AWS, Azure, Google Cloud Platform), GovCloud, hybrid deployments
    • Containerization: Kubernetes, Docker, OpenShift
    • Automation: Terraform, Ansible, CI/CD pipelines, Docker
    • Integrations: SIEMs (Splunk, Elastic Security), endpoint/security telemetry (CrowdStrike), cloud-native services
    • Competing Technologies:
      • Splunk, OpenSearch, Solr, Lucene, Graylog, Datadog, Elastic Cloud alternatives

#EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!

Apply