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Senior Python Engineer Jobs in Berkeley, CA (NOW HIRING)

A client of Innova Solutions is immediately hiring for a Sr. Python AI Engineer Position type: Contract (12+ months) Location: Concord, CA Hybrid Onsite (3 days onsite, 2 days remote in a week) As a ...

Sr Staff Python Engineer

Alameda, CA · On-site

$150 - $200/hr

As a Sr. Staff Software Engineer on the software team, you will be writing software to automate ... You have strong coding skills, our stack is primarily Python and TypeScript, but we interact with C ...

About Team On the Membership Experience Engineering team at Walmart, we provide technology to power shopping journeys that help hundreds of millions of customers live better - be it busy families ...

About Team On the Membership Experience Engineering team at Walmart, we provide technology to power shopping journeys that help hundreds of millions of customers live better - be it busy families ...

What you'll need: * 7+ years of professional software engineering experience, including 2+ years in a Staff or equivalent senior technical leadership role. * Expertise in Python (Django, FastAPI, or ...

Showing results 21-40

Senior Python Engineer information

See Berkeley, CA salary details

$67.3K

$173.8K

$238.8K

How much do senior python engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior python engineer in Berkeley, CA is $173,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,800.00 and $200,200.00 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 Berkeley, CA?

For Senior Python Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Senior Python Engineer jobs in Berkeley, CA look for?

The top searched job categories for Senior Python Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Senior Python Engineer jobs?

Cities near Berkeley, CA with the most Senior Python Engineer job openings:

Infographic showing various Senior Python Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $173,840 per year, or $83.6 per hour.

Sr Python AI Engineer/Architect : Full time

HARAMAIN SYSTEMS INC.

San Francisco, CA • On-site

$150K - $210K/yr

Full-time

Re-posted 7 days ago


Job description

Job Description
  • Preference for candidates in/near San Francisco, CA.
  • Visa Sponsorship not available

Role: Sr Python AI Engineer/Architect
Location: Mission District-SF, CA Onsite role
Full-Time Position
Technical Stack
  • TypeScript and Python are primary languages; experience with web stack and Chrome extensions beneficial.
  • Focus on enabling AI tools and infrastructure for rapid development.

Seniority
  • 5+ years of experience in platform engineering.

Work experience
  • Has shipped and maintained production platform infrastructure in a B2B SaaS environment -CI/CD, Kubernetes, containerization, cloud deployments, database migrations; has made painful mistakes and learned from them
  • Startup experience post-Series A; ideally has seen a company grow from Series A-B

You're a great fit if you have:
  • Built and scaled complex infrastructure systems
  • Worked with Kubernetes, ETL pipelines, AWS/GCP/Cloudflare, CI/CD, and SOC 2 environments
  • Strong judgment across security, reliability, cost, and iteration-speed tradeoffs
  • Been operating at the edge of AI-first development for some time
  • Learned practical lessons from decades of enterprise-grade engineering patterns
  • Strong opinions on how old systems should be improved or replaced
  • High ownership and comfort working across many domains

What you'll do:
  • Build internal platforms and AI loops that increase company iteration speed
  • Strengthen security, compliance, and operational readiness
  • Improve CI/CD, testing, deployments, and developer environments
  • Evaluate and implement new tooling, storage, and compute systems
  • Enable non-technical staff to build and ship improvements safely
  • Enable technical teams to ship scalable, enterprise-ready systems faster
  • Resolve incidents and production fires with both immediate fixes and long-term solutions