Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Building and optimizing high-load data pipelines that power an AI-native security platform with an accent on end-to-end reliability, scalability, and developer velocity. Focus on architecting self-healing systems, enabling AI innovation, and aligning data infrastructure with critical business needs.

Location: Remote (USA)

Salary: $176,000–$207,000 USD

Company

hirify.global is a company building and supporting a world-class AI-native security platform at massive scale.

What you will do

• Own end-to-end reliability and uptime of mission-critical production data pipelines, processing billions of messages weekly.
• Design and implement self-healing pipelines with automated monitoring, testing, and recovery systems.
• Accelerate development velocity for Data Scientists by deploying CI/CD and self-service platforms.
• Architect and optimize data pipelines for massive scale, supporting global expansion and compliance requirements (GDPR, FedRAMP, SOC2).
• Bridge technical and business domains, ensuring data infrastructure aligns with GTM and financial decisions.
• Establish data engineering excellence by defining best practices and mentoring embedded Data Guild team members.

Requirements

• 6+ years of software engineering experience in backend, distributed systems, or data-focused roles.
• Proven experience designing and running large-scale, production-grade data pipelines.
• Proficiency in Python, Spark/PySpark, Airflow, SQL, dbt, Databricks, Snowflake, AWS.
• Track record of driving pipeline reliability to 99%+ uptime, including SLAs, observability, and automated recovery patterns.
• Strong systems-thinking skills with the ability to debug complex distributed systems and make architectural decisions.
• Bachelor’s degree in Computer Science, Applied Sciences, Information Systems or other related quantitative fields.

Nice to have

• Experience building or operating AI/ML data pipelines.
• Background in high-growth environments requiring frequent re-architecture and optimization.
• Experience with compliance frameworks such as GDPR, SOC2, FedRAMP, and PII handling.
• Knowledge of multi-region data architectures or cellular/multi-tenant systems.
• Background in cybersecurity, threat detection, or email security.

Culture & Benefits

• Opportunity to establish data engineering excellence and build a team/platform from the ground up.
• Autonomy to make critical technical decisions with direct impact on business outcomes.
• Individual compensation packages based on skills, experience, and qualifications, including bonus, RSUs, and benefits.
• Equal opportunity employer committed to diversity and inclusion.
• Secure hiring practices including video interviews and pre-employment checks.