Senior Software Dev Engineer (Java/Go)

TL;DR

Senior Software Dev Engineer (Java/Go): Building and maintaining high-throughput protection systems and transmission infrastructure for hirify.global Mail with an accent on high-concurrency distributed microservices and AI-assisted engineering. Focus on integrating agentic AI workflows, solving complex delivery pipeline challenges, and managing petabyte-scale storage.

Location: United States of America (Hybrid)

Salary: $128,250 - $266,875 per year

Company

hirify.global is a global technology company operating one of the world's largest consumer email services, serving hundreds of millions of users.

What you will do

• Architect and maintain high-concurrency distributed microservices in Java and Go to meet stringent SLA and security constraints.
• Integrate agentic AI workflows and LLM capabilities to enhance real-time spam detection and automated root-cause diagnostics.
• Champion AI-assisted engineering by leveraging tools like Claude, GitHub Copilot, and Cursor to accelerate feature implementation.
• Lead technical initiatives across the squad, driving architecture reviews and establishing code quality standards.
• Automate infrastructure provisioning and CI/CD pipelines across GCP and hybrid environments.
• Mentor junior and mid-level engineers to foster a culture of technical excellence and collaborative problem-solving.

Requirements

• Must be based in the United States.
• 5+ years of professional software development experience with strong fluency in Java, Go, or C++ (Java strongly preferred).
• 2+ years of experience designing and operating large-scale distributed server applications in production.
• B.S. or M.S. in Computer Science, Computer Engineering, or equivalent practical experience.
• Hands-on proficiency with AI-assisted development tools (e.g., Claude, GitHub Copilot, Cursor).
• Strong computer science fundamentals in data structures, algorithms, and distributed networking.

Nice to have

• Experience with prompt engineering, agentic AI frameworks, or integrating LLM APIs into production.
• Proficiency with big data and stream processing technologies such as Hadoop, Spark, Kafka, or HBase.
• Background in anti-spam, anti-abuse, text classification, or anomaly detection systems.
• Working knowledge of Python for data analysis and pipeline automation.

Culture & Benefits

• Flexible hybrid work options with occasional in-person team events.
• Comprehensive benefits package including healthcare and a 401k plan.
• Practical support through backup childcare and education stipends.
• Inclusive environment with various employee resource groups (ERGs) to foster belonging.