обновлено 2 дня назад
Senior Software Engineer-Bigdata & Hadoop Engineer with Development Experience
110 700 - 171 800$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Software Engineer-Bigdata & Hadoop Engineer with Development Experience (Big Data/Hadoop): Building and maintaining large-scale Hadoop and cloud-based ecosystems, automation tools, front-end applications, and back-end services with an accent on platform reliability, scalable software engineering, and Generative AI. Focus on integrating Hadoop, Spark, HBase, Python, Java, APIs, and LLM frameworks while improving testing, deployment, and operational efficiency.
Location: Hybrid role in Austin, Texas, United States; office attendance expectations will be confirmed by the hiring manager.
Salary: $110,700–$171,800 USD per year, with potential bonus and equity eligibility.
Company
is a global payments technology company facilitating transactions among consumers, merchants, financial institutions, and governments in more than 200 countries and territories.
What you will do
- Engineer and administer large-scale Big Data platforms using Hadoop, Spark, HBase, and other open-source technologies.
- Design and implement automation tools to improve operational efficiency, platform reliability, and scalability.
- Develop, test, deploy, and validate maintainable software solutions.
- Build front-end applications with HTML, CSS, JavaScript, and SQL, applying UI/UX principles.
- Develop back-end services and APIs using Python, Java, and related technologies.
- Apply Generative AI, LLMs, and modern frameworks to development, testing, and automation initiatives.
Requirements
- At least 2 years of relevant experience with a bachelor's degree, or 5+ years of relevant experience.
- At least 2 years of experience with Big Data technologies, including Hadoop and Spark.
- Strong programming experience with Python or Java and hands-on software engineering skills.
- Experience developing both front-end applications and back-end services.
- Knowledge of computer science fundamentals, data structures, Linux, and system concepts such as CPU, memory, storage, and networking.
- Experience with Generative AI, LLMs, LangChain or LangGraph, and AI libraries such as TensorFlow or PyTorch.
Nice to have
- Experience with cloud platforms such as AWS or GCP.
Culture & Benefits
- Hybrid work arrangement with office attendance determined by the hiring manager.
- Travel required for 5–10% of working time.
- Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.
- Work hours vary according to department needs.
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