Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (AI): Leading the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. Focus on architecture, reliability of foundational data platforms, and driving improvements in programming practices.

Location: Onsite in San Francisco, CA, Seattle, WA, or New York, NY

Salary: $248,400–$310,500 USD

Company

hirify.global develops reliable AI systems for the world's most important decisions, providing high-quality data and full-stack technologies that power leading AI models and applications for enterprises and governments.

What you will do

• Drive the architecture, design, implementation, and reliability of foundational data platforms and systems.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Proactively identify opportunities for and drive improvements to programming practices and tools.
• Present technical information to teams and stakeholders, providing guidance.
• Provide technical leadership, uphold engineering standards, and mentor junior engineers.

Requirements

• 8+ years of full-time engineering experience, with specialties in back-end systems and large-scale data storage, streaming, and warehousing.
• Extensive experience in database technologies (MongoDB, Postgres), streaming/processing (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and data query engines (Trino, Presto, Snowflake).
• Proven track record of mentoring and leading teams in successful projects.
• Excellent communication and collaboration skills to translate complex technical concepts.
• Experience working fluently with containerization (Kubernetes) and various public cloud offerings.
• Deep understanding of distributed systems, cloud platforms, and data systems.

Nice to have

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
• Experience with performance tuning and cost optimizations of cloud-based data platforms.
• Experience defining data lifecycle strategy and designing/implementing tooling for data privacy (GDPR) needs.
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

Culture & Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits.
• Learning and development stipend and generous PTO.
• Inclusive and equal opportunity workplace committed to diversity.
• Committed to providing reasonable accommodations to applicants with disabilities.