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Entry Level Python Automation Engineer Jobs in San Jose, CA

Apple, Inc.

Analog Layout Automation Engineer

Cupertino, CA · On-site

$249K/yr

Strong programming/scripting skills in SKILL, Perl, TCL, Shell, and/or Python, with emphasis on layout automation, productivity tooling, and data analysis. Solid understanding of supervised and self ...

Altera

Design Automation Engineer

San Jose, CA · On-site

$95K - $110K/yr

Our innovation in programmable logic began in 1983. Since then we've delivered the tools and ... skills(Python, Tcl, Shell, Perl). You will be responsible for developing, maintaining, and ...

Apple

Analog Layout Automation Engineer

Cupertino, CA · On-site

$249K/yr

Strong programming/scripting skills in SKILL, Perl, TCL, Shell, and/or Python, with emphasis on layout automation, productivity tooling, and data analysis. Solid understanding of supervised and self ...

Apple

Analog Layout Automation Engineer

Cupertino, CA

$123K - $218K/yr

  • Medical

  • Dental

  • Retirement

Strong programming/scripting skills in SKILL, Perl, TCL, Shell, and/or Python, with emphasis on layout automation, productivity tooling, and data analysis. Solid understanding of supervised and self ...

krg technology inc

Automation Developer

San Jose, CA · On-site

... Python. - Should able to write the automation scripts for the given requirement/application with ... programming and should able to develop both API, UI and backend validations. - Should able to ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

By blending deep industry expertise with powerful AI-driven automation, we're building tools that ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

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All JobsPython Automation Engineer JobsEntry Level Python Automation Engineer JobsEntry Level Python Automation Engineer Jobs in San Jose, CA

Entry Level Python Automation Engineer information

See San Jose, CA salary details

$43.4K

$125.6K

$191K

How much do entry level python automation engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level python automation engineer in San Jose, CA is $125,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $144,700.00 per year, depending on experience, location, and employer.

What does an entry level Python automation engineer do?

An Entry Level Python Automation Engineer is responsible for designing, developing, and maintaining automated scripts and tools using Python to help streamline processes and improve efficiency. They typically work under the guidance of senior engineers to automate repetitive tasks, perform software testing, or manage data workflows. Their daily tasks may include writing Python code, debugging automation scripts, and collaborating with team members to identify opportunities for automation. This role is ideal for those with a foundational understanding of Python and a passion for problem-solving and process improvement.

What types of projects and tasks can an entry level Python automation engineer expect to work on in their first year?

As an Entry Level Python Automation Engineer, you can expect to work on a variety of tasks such as writing and maintaining scripts to automate repetitive processes, assisting with the development of test automation frameworks, and supporting the deployment of automated solutions in collaboration with more experienced engineers. You may also be responsible for troubleshooting automation scripts, documenting processes, and participating in code reviews. The work environment is typically team-oriented, and you will likely collaborate closely with developers, QA analysts, and IT support, which provides valuable opportunities to learn and grow your technical and professional skills.

What is the difference between Entry Level Python Automation Engineer vs QA Tester?

AspectEntry Level Python Automation EngineerQA Tester
Required SkillsPython scripting, automation tools, basic testing knowledgeManual testing, test case creation, defect tracking
CertificationsNone mandatory, Python knowledge preferredISTQB or similar testing certifications
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing labs
Industry UsageTech, finance, healthcare, any industry with software productsPrimarily software and tech companies

While both roles involve quality assurance, the Entry Level Python Automation Engineer focuses on developing automated testing scripts using Python, whereas the QA Tester primarily performs manual testing and defect reporting. The automation engineer role requires programming skills and automation tools knowledge, making it more technical. Both roles are essential in software development, but the automation engineer often works closely with developers to streamline testing processes.

What are the key skills and qualifications needed to thrive as an entry level Python automation engineer?

To thrive as an Entry Level Python Automation Engineer, a solid grasp of Python programming, basic software development principles, and familiarity with automation frameworks is essential, often supported by a relevant degree or certification. Experience with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required. Strong analytical thinking, attention to detail, and effective communication set candidates apart in this role. These skills and qualities are crucial for efficiently developing, testing, and maintaining automation solutions that enhance productivity and software quality.

What are the most commonly searched types of Python Automation Engineer jobs in San Jose, CA?

The most popular types of Python Automation Engineer jobs in San Jose, CA are:

What are popular job titles related to Entry Level Python Automation Engineer jobs in San Jose, CA?

For Entry Level Python Automation Engineer jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Automation Engineer jobs in San Jose, CA look for?

The top searched job categories for Entry Level Python Automation Engineer jobs in San Jose, CA are:

Entry Level Python Automation Engineer jobs near you
Infographic showing various Entry Level Python Automation Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $125,551 per year, or $60.4 per hour.

Infrastructure & Automation Engineer

Specter

San Francisco, CA • On-site

Full-time

Posted 24 days ago

Job description

Company BackgroundSpecter's mission is to help automate the physical world.
Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.
Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.
The RoleWe're hiring an Infrastructure & Automation Engineer to build the internal infrastructure that lets us develop, test, and deploy across our sensor fleet at speed. As we add hardware variants and scale the fleet, validating new hardware and pushing software to the field are becoming bottlenecks - this role exists to solve both with automation.
This is the proactive side of fleet operations: the test infrastructure, deploy orchestration, and tooling that prevent fires before they start. Early on, that means owning the release pipeline end-to-end - cutting dev and production releases, validating them against the dev fleet, and making rollouts automated, observable, and reversible.
Responsibilities:
Release & Fleet Validation Pipeline - Primary
  • Own how releases get cut, versioned, and promoted - dev vs. production - with automated regression gates.
  • Own the CI/CD plumbing for firmware and software builds: the pipelines, infrastructure, and results tracking every build and HW rev flows through.
  • Build fleet-side validation: bake periods on the dev fleet and observational checks (health metrics, regressions vs. baseline, tail latencies) that qualify a release for production.
  • Own the CI and orchestration rails that validation suites plug into - validation engineering owns the tests and hermetic environments (HIL, device farms, SIL).
  • Keep the internal dev and test fleet healthy and available.

Deploy & Fleet Orchestration
  • Own the deploy methodology across the fleet: make OTA / software rollouts automated, observable, and rollback-capable so a bad push is a non-event, not an incident.
  • Build the tooling and pre-deployment checks that catch problems before they reach devices.
  • Improve tracking and visibility for deploys and fleet state - what version is where, what succeeded, what needs attention.

Internal Tooling & Automation
  • Automate toil relentlessly - turn repetitive work like deployment tickets, debug handoffs, and fleet checks into code.
  • Build internal tooling that makes the rest of engineering faster, and maintain it as real software - versioned, tested, documented.
  • Instrument the systems you build so the team can make data-driven decisions about test and deploy reliability.

Qualifications
  • Strong scripting/programming for operational tooling - Python, Go, or Bash - and the instinct to automate rather than repeat.
  • Hands-on CI/CD experience: building and maintaining pipelines, not just consuming them (GitHub Actions, GitLab CI, Jenkins, or similar).
  • Solid Linux fundamentals - comfortable working over SSH in real environments, not just dev.
  • Infrastructure-as-code and config management familiarity (Terraform, Ansible, or equivalent).
  • Containerization experience (Docker; Kubernetes a plus).
  • Networking fundamentals: DNS, firewalls, VPNs, subnets, secure remote access.
  • Nice to have: experience across the hardware-software boundary - comfortable reasoning about firmware, embedded systems, and what's happening below the OS.
  • Cloud experience (AWS infrastructure, IAM, networking, observability tooling) is a plus for the deploy and tracking side.
  • Bias toward shipping: you'd rather land a working tool today and iterate than design the perfect system for three months.

Apply