Software Automation Engineer

Apolis; San Diego (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Apolis is hiring a Software Automation Engineer in San Diego, CA for a 12-month term. The role focuses on building and maintaining Python-based automation tools, Linux-based systems, and data pipelines, with a strong emphasis on reliability and AI-assisted development tools.

Required experience is 7+ years, onsite interviews, and collaboration with engineering teams to improve productivity and workflows.

Qualifications

• Strong Python programming ability.
• Solid Linux experience.
• Proficient with SQL databases and querying.
• Familiar with Git or other version-control tools.
• Experience building automation, data pipelines, or backend services.
• Production software development and debugging skills.
• Experience using AI coding assistants (Claude Code, Codex, etc.).

Responsibilities

• Develop and maintain Python-based automation tools and services.
• Build Linux-based automation systems and data processing pipelines.
• Work with SQL, relational databases, and engineering workflows.
• Troubleshoot production issues and improve system reliability.
• Use AI-assisted development tools to accelerate coding, testing, and debugging.
• Collaborate with engineering teams to improve productivity and operational efficiency.

Skills

Python programming

Linux

SQL databases

Git / version control

Automation / data pipelines

Production debugging

AI coding assistants

Job description

We're Hiring: Software Automation Engineer

Location: San Diego, CA

Duration: 12 Months

ONSITE INTERVIEW REQUIRED

Required experience: 7+ years

Key Responsibilities

• Develop and maintain Python-based automation tools and services.
• Build Linux-based automation systems and data processing pipelines.
• Work with SQL, relational databases, and engineering workflows.
• Troubleshoot production issues and improve system reliability.
• Use AI-assisted development tools to accelerate coding, testing, and debugging.
• Collaborate with engineering teams to improve productivity and operational efficiency.

Required Skills

• Strong Python programming
• Linux
• SQL and relational databases
• Git or similar version control tools
• Automation, backend development, or data pipeline experience
• Production software development and debugging skills
• Experience using AI coding assistants such as Claude Code, Codex, or similar tools