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6 дней назад

Software Engineering Lead (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Lead Software Engineer (AI): Driving the design, delivery, and operation of large-scale content pipelines for an AI platform with an accent on technical strategy, architecture, and engineering excellence. Focus on building robust distributed systems using Java, Python, and cloud technologies, mentoring engineers, and ensuring high standards of performance, reliability, and security.

Location: Mexico

Company

hirify.global is a global leader in advanced information and decision support for science and healthcare.

What you will do

  • Lead and mentor a team of software engineers, fostering an inclusive, high-trust culture.
  • Own technical strategy and architecture for scalable content ingestion, enrichment, retrieval, and search/index pipelines.
  • Design, prototype, and build robust distributed systems using Java (Spring Boot), Python (FastAPI), Kafka, Spark, Airflow, Snowflake, Iceberg, and RDBMS.
  • Build and operate cloud infrastructure on AWS, automating infrastructure and deployments via CI/CD.
  • Establish engineering excellence in code reviews, testing, performance tuning, and reliability engineering.
  • Partner cross-functionally with Product, Data, Security, and Platform teams to define roadmaps and delivery plans.
  • Drive security, privacy, and compliance standards across data flows and services.
  • Continuously improve and optimize cost, latency, throughput, and developer productivity.

Requirements

  • 10+ years of professional software engineering experience delivering server-side applications and distributed systems.
  • 4+ years of hands-on technical leadership, including mentoring and architectural decision-making.
  • Expert programming skills in Java and Python; strong design skills for distributed, event-driven architectures.
  • Practical expertise with Kafka/streaming, Spark/data processing, Airflow/orchestration, Snowflake/Iceberg, and relational databases.
  • Advocate of engineering best practices: clean code, testing strategies, security-by-design, performance, and reliability principles.
  • Outstanding communication, stakeholder management, and collaboration skills.

Nice to have

  • Experience with large-scale content management systems and big data environments.

Culture & Benefits

  • Promotes a healthy work/life balance with numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
  • Offers private medical/dental plan, savings fund, life insurance, and meal/grocery vouchers.
  • Works in a truly global company with colleagues in all regions of the world.
  • Committed to building cohesive teams where communication, support, and innovation thrive.

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