Senior Software Engineer

Harnham; Irvine (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive base

Bonus

Full benefits

Job summary

A leading technology firm in California is seeking a Senior Software Engineer to own and evolve its core data infrastructure, focusing on real-time data processing and system reliability. This hands-on role targets large-scale data lake architecture and high availability of critical systems. Candidates should have over 6 years of experience in software engineering, strong backend skills, and expertise in Python, SQL, and distributed systems. Competitive compensation and comprehensive benefits are offered.

Qualifications

• 6+ years of experience (Senior) or 8–10+ years (Staff) in software and data platform engineering.
• Strong backend engineering experience on data‑intensive systems.
• Hands‑on experience with streaming and batch data systems.
• Strong distributed systems and platform architecture fundamentals.

Responsibilities

• Own and evolve core data infrastructure for manufacturing systems.
• Build large-scale data lake architecture and modernization.
• Develop backend data services for the data platform.
• Ensure highly reliable, low-latency data processing and system availability.
• Collaborate with senior engineers and cross-functional teams.

Skills

Backend engineering experience

Experience building data lakes

Distributed systems fundamentals

Python

SQL

Java or Scala

Spark

Kafka or Flink

Tools

Spark

Kafka

Flink

Java or Scala

Job description

Comp: Competitive base + bonus + full benefits

The Role

We’re hiring a Senior Software Engineer to own and evolve the core data infrastructure powering real-world hardware and manufacturing systems.

This is a hands‑on, high‑ownership IC role focused on real‑time data processing, platform scalability, and system reliability. This is not an analytics or BI role — you’ll be building the underlying systems that move, process, and serve mission‑critical data with low latency and high availability.

What You’ll Build

• Large-scale data lake architecture and modernization
• Backend data services built on top of the data platform
• Orchestration frameworks for batch and streaming workloads
• Highly reliable, observable systems with clear SLAs
• Secure platform deployments across constrained environments
• New platform capabilities alongside hardening and scaling existing systems

What You Bring

• 6+ years of experience (Senior) or 8–10+ years (Staff) in software and data platform engineering
• Strong backend engineering experience on data‑intensive systems
• Experience building and operating data lakes
• Hands‑on experience with streaming and batch data systems
• Strong distributed systems and platform architecture fundamentals

Core Technical Skills

• Python
• SQL
• Java or Scala
• Spark
• Kafka or Flink

Why This Role

• Build and own the data backbone for real‑world, mission‑critical systems
• High ownership with real architectural influence
• Deep technical problems across streaming, reliability, and scale
• Strong partnership with senior engineers and cross‑functional teams
• Competitive compensation and comprehensive benefits