Senior Software Engineer - Scale, Data & AI Tools

Strategic Employment Partners (SEP); Sacramento (CA); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Bonus

Benefits

Job summary

Strategic Employment Partners is expanding its product engineering team and seeks a versatile engineer who can move fluidly across the stack, from core services to data pipelines. The role emphasizes modern tooling, including AI-assisted coding, while leveraging solid engineering fundamentals.

The individual will own meaningful parts of a large-scale production system used by a broad customer base, build services and integrations, and contribute to architecture discussions while mentoring newer

Qualifications

• 5+ years as an engineer at a product or technology company.
• Cloud platform experience, ideally within the Microsoft ecosystem, plus comfort with containerized environments.
• Fluency in more than one modern programming language, with Python and Java both in the mix.
• A track record with relational databases and structured data at scale.
• Curiosity about applying AI tooling to real, ongoing engineering work rather than side projects.
• Retail, ecommerce, or high-transaction-volume experience is a nice‑to‑have, not a requirement.

Responsibilities

• Owning meaningful parts of a large-scale production system used by a substantial customer base.
• Building services and integrations that other teams and downstream systems depend on.
• Getting hands-on with the data side (pipelines, storage, performance) and not just application code.
• Participating in architecture and design conversations, and helping newer engineers grow.

Skills

Cloud platform experience

Microsoft ecosystem

Containerization

Python

Java

Relational databases

AI tooling

Retail/ecommerce experience

Tools

Kubernetes

Job description

Strategic Employment Partners is expanding its product engineering team and seeks a versatile engineer who can move fluidly across the stack, from core services to data pipelines. The role emphasizes modern tooling, including AI-assisted coding, while leveraging solid engineering fundamentals.

The individual will own meaningful parts of a large-scale production system used by a broad customer base, build services and integrations, and contribute to architecture discussions while mentoring newer