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SRE & Data Engineer for Cloud Native AI SAAS at SherlockTalent

SherlockTalent No longer available $200,000 - $250,000/year

Job Description

Overview

Job Title: SRE & Data Engineer

Location: Bay Area, CA, 3 days a week onsite

Job Type: Founding Level SWE, Full Time

Salary: Founders-level equity and $200K-$250K+

Job ID: 7330

Responsibilities
  • Establish and maintain the foundational infrastructure, ensuring consistent, scalable, and reliable systems that support all engineering projects and data ingestion processes.

  • Set up and maintain GCP cloud native infrastructure and manage pipelines, exposure to client infrastructures in AWS & Azure

  • Build high-performance compute platforms for ML applications at scale using Python, Golang, argoCD

  • Write custom Terraform providers in Go to administer platform ACLs and enable cross-product AuthZ IaC

  • Design and automate infrastructure architecture using IaC tools like Terraform or Ansible

  • Build and maintain scalable data ingestion pipelines from CRMs, Marketing Automation, and Sales Acceleration Platforms

  • Perform data normalization, cleaning, and transformation for quality assurance.

  • Exposure to Data Science

  • Manage cloud persistence for database and storage solutions for efficient data retrieval and storage. (Shared with Application Engineer.)

  • Ensure all engineering teams adhere to infrastructure standards and provide necessary support.

Qualifications / Education

Education: Bachelors or Masters in Computer Science or Engineering preferred

Why Join the Team?

You'll work on impactful projects, pushing the boundaries of AI and machine learning.

Join a team that values innovation, collaboration, and the transformative power of technology.

Let's build the future together!

Company & Benefits

Some information about the company:

1. Proven Leadership and Track Record: The leadership team brings a wealth of experience across various startups, demonstrating adaptability and success in creating high-growth companies. This track record of success, coupled with strong ties to venture capital, ensures a solid foundation for new ventures.

2. Backed by Major Venture Capitalists: Having financial support from well-established venture capitalists positions the company to scale quickly while maintaining financial stability. This partnership provides both capital and strategic guidance for navigating the complexities of growth.

3. Customizing Existing Models: Instead of starting from scratch, the company focuses on adapting and optimizing existing LLMs to maximize success in specific markets and industries.

4. Targeted Success: Rather than taking a broad, one-size-fits-all approach, the company tailors its strategies to the unique demands of each market and target customer segment, ensuring higher chances of success and more sustainable growth.

SherlockTalent loves to share $1,000 bonuses for successful referrals. H-1B transfers are possible.

$200k - $250k beats the market for Database Architects nationally

National salary averages
$200k - $250k
↑ 65% vs typical mid-level
Entry
Mid
Senior
This job
$82k Market range (10th-90th percentile) $210k

This is a strong offer—weigh total comp and growth potential.

Slight candidate advantage

High demand and responsive wages. Negotiate confidently on all fronts.

Hiring leverage
Lean candidate
Wage leverage
Moderate
Mobility
Moderate

Who this leverage applies to

Stronger for: All experience levels

Where to negotiate

Base salary
Sign-on bonus
Title / level
Remote flexibility
Scope & responsibility
Start date / PTO

Likely Possible Unlikely

Use competing offers and timing to your advantage.

Does this path compound?

Job Growth →
High churn
Growth, flat pay
🚀 Compound
Growth + pay upside
⚠️ Plateau
Limited growth
Specialize
Experts earn more
Pay Upside →
Growth + pay upside

Both the field and your earnings can grow significantly.

+9%
10yr growth
A bachelor's degree is typically expected.
Typical: Bachelor's degree

Openings come from turnover, not new growth. Differentiate to advance.

Labor data: BLS 2024