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4 дня назад

Lead Software Engineer (Java/AWS)

128 470 - 208 770$
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Lead Software Engineer (Java/AWS): Leading the design and deployment of backend RESTful API services for autonomy platforms with an accent on scalable microservices and AI-assisted engineering. Focus on building secure cloud-native platform capabilities and mentoring engineers to accelerate delivery of autonomous machine intelligence.

Location: Must be based in Irving, TX (Dallas). Domestic relocation assistance is available.

Salary: $128,470 - $208,770

Company

hirify.global is a global leader in constructing and mining equipment, building an intelligence layer that connects machines, data, and people to make jobsites safer and more productive.

What you will do

  • Lead design, development, and deployment of backend RESTful API services using Java, Spring Boot, and microservices architecture.
  • Provide architectural guidance and technical leadership for critical platform investments on AWS.
  • Implement and drive the adoption of secure AI-assisted and agentic software development workflows.
  • Mentor engineers to improve technical capability, consistency, and software quality through code reviews and design standards.
  • Collaborate with cross-functional Agile teams to deliver business-value features aligned with enterprise needs.
  • Influence full-stack architecture patterns across UI, API, and service layers.

Requirements

  • Strong backend engineering expertise with Java 17+ and Spring Boot.
  • Proven experience building secure, scalable platform services in cloud environments (AWS or Azure).
  • Ability to convert market requirements into strategic software product design and technical direction.
  • Must be based in Irving, TX (Dallas).
  • Knowledge of responsible AI usage and secure coding practices in AI-assisted development.

Nice to have

  • Experience building production AI agents using Python.
  • Experience with agent orchestration frameworks such as LangChain or LangGraph.
  • Knowledge of LLM integration with external tools, APIs, and retrieval systems.
  • Experience in MLOps or model deployment.
  • Skills in prompt optimization and multi-agent workflow design.

Culture & Benefits

  • Comprehensive medical, dental, and vision benefits.
  • 401(k) savings plans and Health Savings Account (HSA).
  • Paid time off, including vacation, holidays, and volunteer days.
  • Career development and tuition reimbursement programs.
  • Parental leave and adoption benefits.

Hiring process

  • All offers are conditioned upon the successful completion of a drug screen.

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