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Software Engineer III - Cloud Data Platform

132 000 - 228 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer III - Cloud Data Platform (Java/Big Data): Building internet-scale, cloud-native data platform and analytics SaaS services that process billions of real-time data points with an accent on distributed systems, stream processing, microservices, and secure cloud architecture. Focus on designing scalable data services, solving complex reliability and performance challenges, and mentoring engineers while advancing AI, cloud, and data platform adoption.

Location: United States - San Mateo, CA; hybrid work environment in San Mateo. New hires participate in an in-person orientation process.

US base salary: $132,000–$228,000 per year, depending on experience, skills, education, training, and location. Some roles may also include annual bonuses, commissions, or long-term incentive awards.

Company

hirify.global provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers in more than 40 countries.

What you will do

  • Architect, design, and implement high-performance, cloud-native data platform and analytics SaaS services processing billions of real-time data points.
  • Develop large-scale distributed systems using Kafka, Hadoop, Spark, Flink, Hive, Java, and Scala.
  • Design and build real-time stream-processing systems and microservices with strong scalability, reliability, and data security.
  • Own and resolve complex code defects while championing software development and system design best practices.
  • Collaborate cross-functionally on AI, cloud, and data platform adoption, supporting agile delivery and measurable customer value.
  • Provide technical leadership and mentorship while contributing to operational excellence and continuous improvement.

Requirements

  • 5+ years of experience in software engineering roles focused on data platforms or data engineering.
  • Deep expertise in Java and proficiency designing and building large-scale distributed systems.
  • Strong understanding of distributed systems principles, including consistency, availability, durability, reliability, fault tolerance, and consensus algorithms.
  • Advanced knowledge of algorithms, data structures, and performance optimization.
  • Experience with Kubernetes, AWS, Docker, and infrastructure-as-code tools such as Terraform or CloudFormation.
  • Experience designing and developing microservices and API-driven systems.
  • Ability to embrace AI in the current role and apply data-driven insights to innovation, productivity, and continuous improvement.
  • Excellent technical communication and mentoring skills.
  • Eagerness to learn new technologies and passion for innovation.

Nice to have

  • BS or MS degree in Computer Science, Mathematics, or a related field, or equivalent experience.
  • Experience building cloud-based data platforms with Kafka, Hadoop, Spark, Flink, and Hive.
  • Familiarity with ELK, Debezium, and building SaaS or PaaS on AWS, GCP, or Azure.
  • Experience with TeamCity-based CI/CD pipelines.
  • Experience developing in multiple programming languages and frameworks.

Culture & Benefits

  • Collaborative, innovative culture focused on curiosity, continuous learning, strong communication, and team wins.
  • Flexible work environment with hybrid work in San Mateo.
  • Health, dental, vision, and wellness benefits, plus a company-sponsored retirement plan.
  • Paid time off programs, including volunteer time off.
  • Continual development and internal career growth opportunities.
  • Full-time employees and part-time employees working at least 30 hours per week are eligible for benefits.

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