Senior Software Engineer (Cloud Infrastructure)

Location: Fully remote within the United States; East Coast hours required. US headquarters and office hubs are located in New York City, Austin, Miami, Denver, Mountain View, and Seattle.

Annual base salary: $168,000–$193,725, plus equity.

Company

hirify.global is a market research and analytics firm that analyzes billions of alternative data points for investment funds and corporations, using proprietary technology across ridesharing, e-commerce, payments, and other sectors.

What you will do

• Design, build, and operate shared cloud infrastructure with AWS, Kubernetes, Terraform, Databricks, and Cloudflare.
• Deliver SRE and DevOps initiatives improving reliability, scalability, observability, deployment safety, and operational readiness.
• Build reusable infrastructure modules, automation, and self-service workflows that improve developer experience.
• Define and implement SLIs, SLOs, monitoring, alerting, error budgets, incident response, and corrective actions.
• Strengthen disaster recovery, CI/CD, infrastructure delivery, capacity planning, Kubernetes optimization, and cost visibility.
• Partner with application, Data Platform, and Data Engineering teams to support dependable workload operations.

Requirements

• 4+ years of relevant software, infrastructure, SRE, platform engineering, or DevOps experience.
• Production experience with AWS, Kubernetes, Datadog, Databricks, and Terraform.
• Experience operating business-critical production systems and handling observability, incident response, root-cause analysis, and disaster recovery.
• Experience improving CI/CD, infrastructure as code, deployment workflows, or internal developer platforms.
• Ability to own projects independently, make technical trade-offs, communicate clearly, and collaborate across teams.
• Must work East Coast hours and be eligible to work remotely within the United States; visa sponsorship is not available.

Nice to have

• Experience with AI-native, data-intensive, or rapidly scaling systems, including OpenAI, Anthropic, or open-source AI tools.
• Experience supporting data-intensive SaaS or analytics platforms.
• Bachelor’s degree or equivalent practical experience.

Culture & Benefits

• Flexible work hours and flexible vacation.
• Generous 401(k) match, parental leave, wellness budget, and learning reimbursement.
• Team events and a culture focused on ownership, respect, transparency, and skill development.
• Compensation includes equity.