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Remote Junior Python Developer Jobs in Tracy, CA

Pleasanton , California (Remote) JD: We are seeking an experienced Generative AI Architect to lead ... Mentor junior engineers and contribute to best practices and internal knowledge sharing. Required ...

Strong Python and SQL skills. * Deep understanding of statistics, including distributions, variance ... Experience in prompt engineering and parameter tuning. Work Environment This is a fully remote ...

... freedom of remote work. As a Senior Data Analyst , you are highly curious, analytical, and ... You will partner closely with your peers in analytics, product, marketing, and engineering teams ...

This is a fully remote position. Why Join Maximus? - Competitive Compensation - Bonus opportunities ... Identify and assess new functional capabilities supporting engineering change proposals and ...

New

Manage communication and coordination between sales, engineering, installation, and customer teams ... Mentor Junior Project Managers and Project Coordinators and support development of best practices ...

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Remote Junior Python Developer information

See Tracy, CA salary details

$25.8K

$95.8K

$148K

How much do remote junior python developer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote junior python developer in Tracy, CA is $95,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $93,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Junior Python Developer, and why are they important?

To thrive as a Remote Junior Python Developer, you need a solid grasp of Python programming, basic knowledge of software development principles, and typically a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, code editors such as VS Code, and experience with frameworks like Django or Flask are commonly required. Strong problem-solving abilities, self-motivation, and effective written communication help you stand out, especially when collaborating remotely. These skills and qualities are vital for delivering reliable code, working efficiently in distributed teams, and adapting to evolving project requirements.

What are some common challenges Remote Junior Python Developers face when starting out, and how can they overcome them?

Remote Junior Python Developers often face challenges such as effective communication with teammates, managing time independently, and understanding existing codebases. To overcome these, it's important to proactively ask questions during team meetings, use collaboration tools like Slack or Jira, and regularly review documentation and code. Setting a daily routine and seeking mentorship or code reviews from more experienced developers can also help accelerate learning and integration into the team.

What are Remote Junior Python Developers?

Remote Junior Python Developers are entry-level programmers who specialize in using the Python programming language to build and maintain software applications while working from a location outside the traditional office environment. Their responsibilities often include writing clean code, debugging, collaborating with team members online, and learning from more experienced developers. They typically work under supervision and are expected to have a foundational understanding of Python as well as good communication skills for remote collaboration.

What is the difference between Remote Junior Python Developer vs Remote Python Developer?

AspectRemote Junior Python DeveloperRemote Python Developer
Required Experience1-2 years2+ years
SkillsBasic Python, understanding of frameworksAdvanced Python, multiple frameworks, APIs
Work EnvironmentEntry-level projects, mentorshipIndependent tasks, complex projects
CertificationsOptional, beginner coursesRelevant certifications preferred

The main difference between a Remote Junior Python Developer and a Remote Python Developer lies in experience and skill level. Junior developers are typically newer to the field, working on foundational tasks under supervision, while Python Developers have more experience, handling complex projects independently. Both roles are common in remote work environments across tech companies, but the seniority and responsibilities differ significantly.

What are popular job titles related to Remote Junior Python Developer jobs in Tracy, CA? For Remote Junior Python Developer jobs in Tracy, CA, the most frequently searched job titles are:
What job categories do people searching Remote Junior Python Developer jobs in Tracy, CA look for? The top searched job categories for Remote Junior Python Developer jobs in Tracy, CA are:
What cities near Tracy, CA are hiring for Remote Junior Python Developer jobs? Cities near Tracy, CA with the most Remote Junior Python Developer job openings:
AI Infrastructure Engineer

AI Infrastructure Engineer

STN Incorporated

Pleasanton, CA • Remote

$145K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Location: Remote or Onsite – Pleasanton, California

At STN, we don't just adapt to the digital future, we engineer it. Our mission is to help organizations thrive in a rapidly evolving technology landscape through strategic insight, cutting-edge solutions, and a security-first mindset. We provide end-to-end services spanning cloud consulting, AI infrastructure, and enterprise security, enabling secure, scalable, and future-ready transformation.

As trusted advisors, we align IT investments with business outcomes that drive performance and growth, starting with deep strategic engagement and delivering tailored solutions built for long-term impact.

Our approach is innovation-led and rooted in cybersecurity, with a focus on leveraging the right technologies to solve real-world challenges. We invest in our people and foster a culture of growth, inclusion, and purpose because we believe empowered teams build transformative technology.

Overview
The AI Infrastructure Engineer will be responsible for designing, deploying, and maintaining robust infrastructure systems tailored for AI and machine learning operations. This role focuses on ensuring seamless performance, scalability, and reliability in distributed computing environments. You'll collaborate with data scientists, ML engineers, and DevOps teams to support large-scale AI training and inference pipelines.

Key Responsibilities

  • Design and implement AI infrastructure solutions, including cluster management, resource allocation, and workload orchestration for high-performance computing (HPC) environments.
  • Deploy, configure, and troubleshoot containerized applications using Kubernetes across various flavors (e.g., vanilla Kubernetes, Amazon EKS, Google GKE, Azure AKS, and on-premises setups).
  • Manage job scheduling and resource management using Slurm for efficient utilization of GPU clusters in AI training workflows.
  • Optimize Ubuntu-based systems for AI workloads, including kernel tuning, security hardening, and performance monitoring.
  • Integrate and maintain NVIDIA GPU technologies, ensuring compatibility with AI frameworks like TensorFlow, PyTorch, and CUDA.
  • Monitor system performance, identify bottlenecks, and implement automation scripts for infrastructure provisioning and scaling.
  • Collaborate on disaster recovery planning, security compliance, and cost optimization for cloud and on-premises AI infrastructure.
  • Stay updated on emerging technologies in AI infrastructure and contribute to best practices documentation.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Proven expertise as an Ubuntu specialist, with hands-on experience in system administration, networking, and scripting (e.g., Bash, Python) on Ubuntu servers.
  • Extensive experience with Kubernetes in all major flavors, including cluster setup, scaling, networking (e.g., CNI plugins), and security (e.g., RBAC, Pod Security Policies).
  • Strong proficiency in Slurm for managing HPC clusters, including job submission, queue configuration, and integration with GPU resources.
  • 3+ years of experience in infrastructure engineering, preferably in AI/ML or HPC environments.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration tools.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

  • NVIDIA certifications (e.g., NVIDIA Certified Professional in Data Center GPU Management or CUDA Programming) are a strong plus.
  • Experience with other HPC schedulers (e.g., PBS, LSF) or AI-specific tools like Kubeflow.
  • Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD pipelines.
  • Background in AI model deployment, monitoring tools (e.g., Prometheus, Grafana), or edge computing.

Compensation

  • Full-Time, Exempt
  • Salary: $145K-195K, DOE

Benefits

  • Health Coverage – Medical, Dental & Vision
  • FSA Health and Dependent Care available
  • 401(k) Plan
  • Unlimited Paid Time Off (PTO)
  • Observed Holidays Paid
  • Cell Phone Allowance
  • Collaborative, growth-driven culture

Applicants must be authorized to work in the U.S.  We are unable to provide sponsorship at this time.