8 дней назад
Senior Software Engineer (Big Data)
164 300 - 222 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Big Data): Building systems that collect, store, analyze, and report on large network, application traffic, DNS, and web content datasets with an accent on distributed systems, data processing, and operational intelligence. Focus on designing high-throughput big data jobs, performance tuning, automated testing and CI/CD, and troubleshooting complex networking and distributed-system incidents.
Location: Reston, Virginia, United States; hybrid work schedule from the Reston office
Annual base salary: $164,300–$222,300, with potential discretionary bonus and stock awards for eligible roles.
Company
provides internet infrastructure services focused on the security, stability, and resiliency of the networked world, including DNS services.
What you will do
- Design, develop, integrate, test, deploy, and maintain systems for collecting and analyzing large network, application traffic, DNS, and web content datasets.
- Build object-oriented software for storing, processing, analyzing, and reporting on big data using Java, Python, and open-source technologies.
- Develop and optimize data-processing jobs to meet demanding operational and service-level requirements.
- Define testing approaches and success criteria with architects and developers, covering data quality, processing, interfaces, performance, and system verification.
- Build automated testing, daily build, deployment, and CI/CD workflows.
- Lead incident response and troubleshoot issues involving virtual environments, networking, kernel configurations, and distributed systems.
Requirements
- Bachelor’s degree with 12 years or master’s degree with 10 years of relevant experience, including 8+ years of software development in a Unix environment.
- Expert programming ability in Java, Python, or an equivalent language.
- Experience with Big Data applications and jobs, including Hadoop, Hive, Kafka, Spark, and MapReduce.
- Experience with performance testing and tuning, data migration, RDBMS, time-series or NoSQL databases, and Linux.
- Experience with automation tools such as Ansible, Terraform, and Jenkins, plus private or public cloud environments and cloud-native architectures.
- Experience testing systems from functional specifications and working in agile, highly productive teams.
Culture & Benefits
- Collaborative Agile environment with cross-functional work involving architects, project managers, product managers, and operations.
- Emphasis on documentation, knowledge sharing, ownership, and continuous improvement.
- Flexible hybrid work environment with opportunities for career growth and hands-on work with modern software engineering practices.
- Competitive benefits, discretionary performance-based bonus, and potential stock awards for eligible roles.
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