Software Engineer I, Data Platforms (AI)

Location: Remote - USA

Base salary: $122,400–$176,000 USD annually, plus potential bonus or incentive compensation, equity, and benefits.

Company

hirify.global develops AI-native, data-intensive SaaS products that help enterprises stop cybercrime.

What you will do

• Design, develop, and operate core components of the data platform.
• Build tools and services that help engineering and data science teams adopt and scale data systems.
• Automate infrastructure and operations to improve reliability, performance, and scalability.
• Apply GenAI techniques to create smarter developer and operator experiences.
• Collaborate across engineering teams to solve scalability and reliability challenges.
• Own projects and deliver features end-to-end with guidance from senior engineers.

Requirements

• 1+ years of professional software engineering experience, preferably in backend engineering, distributed systems, or infrastructure; school, personal, or work programming experience is considered.
• Solid programming skills in Python, Go, or a similar language.
• Strong fundamentals in data structures, clean code, testing, and debugging.
• Interest in learning AWS, Databricks, databases, streaming, orchestration, and related data platform technologies.
• Curiosity, problem-solving skills, and willingness to ask questions.
• Ability to work independently and collaboratively, with strong communication skills.

Nice to have

• Experience with PostgreSQL, OpenSearch or Elasticsearch, Redis, or RocksDB.
• Familiarity with AWS, GCP, or Azure.
• Exposure to large-scale or data-intensive systems.

Culture & Benefits

• Collaborative and supportive environment with experienced engineers.
• Early ownership and opportunities for learning and career growth.
• Work on high-impact data platform challenges at a fast-growing, AI-first company.
• Potential bonus or incentive compensation, equity, and a comprehensive benefits package in addition to base salary.
• Employment decisions are made by people; successful candidates must complete pre-employment checks in line with applicable legislation and company policies.