Job Description

Make more Creative Job Post Content<  Staff Software Engineer (Python)

 - Responsibilities:

Location: San Francisco Bay Area (Hybrid)
Compensation: $220,000 + Equity

Are you a software engineer with a passion for AI, infrastructure, and innovation? Do you thrive in fast-paced environments where your expertise drives impactful solutions? Join a groundbreaking VC-backed startup that’s transforming the way we solve production issues in broken systems with cutting-edge AI Agents.

Why This Role?

• Innovative Technology: Work at the intersection of AI and infrastructure, building systems that redefine efficiency.
• Career Growth: As part of a collaborative, forward-thinking team, you’ll have opportunities to expand your skills and make significant contributions.
• Competitive Compensation: A salary of up to $220k, plus equity, ensures you’re rewarded for your expertise.
• Hybrid Work Model: Enjoy the flexibility of balancing in-office collaboration with remote work.

Your Role

As a Staff Software Engineer, you’ll:

• Build, maintain, and optimize scalable web applications using Python.
• Drive the technical direction of projects, ensuring systems are robust, reliable, and high-performing.
• Leverage Kubernetes for container orchestration, ensuring seamless deployment and scaling of applications.
• Utilize Terraform to automate infrastructure provisioning and management, making the development process efficient and streamlined.

What You Bring

We’re looking for an engineer who’s not just skilled but also passionate about pushing boundaries in technology.

Key Requirements:

• 3+ years of experience building web applications with Python.
• Proficiency in Kubernetes for container orchestration.
• Hands-on experience with Terraform for infrastructure as code.
• A problem-solving mindset and the ability to tackle complex technical challenges with creativity.
• Strong communication skills and the ability to thrive both independently and collaboratively.

Bonus Points:

• A genuine enthusiasm for working in AI-driven environments.
• Experience in scaling systems for high availability and performance.
• A curiosity for innovation and the drive to learn new tools and technologies.