Senior Software Engineer - Data Observability (AI)

TL;DR

Senior Software Engineer - Data Observability (AI): Designing and implementing robust, scalable infrastructure solutions for hirify.global Cloud and enterprise deployments with an accent on multi-cloud strategies, distributed system integrations, and observability. Focus on leading technical initiatives, ensuring AI system reliability, and driving continuous improvement in platform reliability and operations.

Location: Remote (US Only)

Company

hirify.global is an AI & Data Context Platform adopted by over 3,000 enterprises, offering a fully managed SaaS solution for AI-powered discovery, observability, and governance.

What you will do

• Design and implement robust, scalable infrastructure for hirify.global Cloud and enterprise deployments.
• Lead technical vision for multi-cloud deployment strategies and distributed system integrations.
• Architect monitoring, observability, and alerting systems across diverse environments.
• Partner with product and engineering teams to develop advanced deployment capabilities and self-healing systems.
• Establish and maintain SLAs/SLOs, lead incident response, and implement chaos engineering practices.
• Mentor SRE engineers and drive cross-functional initiatives for system reliability.

Requirements

• 8+ years of experience in Site Reliability Engineering, Platform Engineering, or DevOps roles.
• 3+ years of technical leadership experience managing engineering teams.
• Strong expertise with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Proficiency in infrastructure as code tools (Terraform, CloudFormation, Pulumi).
• Strong programming skills in Python, Java, or similar languages.
• Deep understanding of monitoring and observability tools (Prometheus, Grafana, Datadog).
• Experience with CI/CD pipelines, networking, security, and database operations in cloud environments.

Nice to have

• Experience building and operating multi-tenant SaaS platforms.
• Background in developing customer-facing deployment and management tools.
• Knowledge of data infrastructure, metadata management, data governance, or data catalog platforms.
• Experience with service mesh technologies and microservices architectures.
• Previous experience in a customer-facing technical role.

Culture & Benefits

• Competitive compensation and equity ownership for all team members.
• Remote work with monthly coworking stipend and location flexibility.
• Comprehensive health coverage (99% medical, dental, vision for employees, 65% for dependents) for all U.S. employees.
• Flexible savings accounts (FSAs) and Carrot Fertility benefits for family planning.
• Unlimited PTO and sick leave policy.