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4/28
我們的目標為協助企業簡便地整合軟體服務,並且朝著能使Netskope的平台存取世界上任一軟體服務的目標前進。 ★ 你的主要任務 • 負責Netskope的產品開發與問題技術解決 • 與公司合作夥伴協同開發和測試各式應用程式 • 在
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4/28
PLEASE APPLY THIS JOD FROM THIS LINK: https://grnh.se/f6cbd8481us <About the role> Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. We are looking for a software engineer who is passionate about testing. Our world-class QE organization is built with engineers who love to write code to test, have aptitude to find ways to break things, understand how cloud services should work and can build automation for day to day tasks that machines can run. Our SDETs have built Python-based automation tools to do functional, regression, security, performance and load/scale testing of our services and clients. Your contribution will test software that large Fortune 500 enterprises use and rely on everyday. <What’s in it for you> As a Sr. Staff Development Engineer in Test on the Data Security team, you will be working on a greenfield initiative that complements the existing data protection technologies. If you enjoy innovation, building brand-new software applications or shipping new products, this is the position for you. <What you will be doing> - Develop expertise in our cloud security solutions, and use that expertise and your experience to help design and qualify the solution as a whole. - Build flexible and scalable test automation solutions. - Work closely with software engineers to identify pain points in writing effective tests, and come up with solutions. - Work closely with the development and design team to help create an amazing user experience. - Identify and communicate risks about our releases. Look beyond your specific area of responsibility and ensure our solutions deliver value to our customers. - Establish and own the quality metrics of the systems. <Required skills and experience> - 10+ years of experience in the field of SDET track record showing that you are a highly motivated individual, capable of coming up with creative, innovative and working solutions in a collaborative environment. - Strong Python programming skills. Familiarity with Golang or C++ is a plus. - Experience with Docker and Kubernetes. - Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies. - Experience testing distributed systems. - A proponent of Strong Quality Engineering methodology. - Attention to detail with strong verbal and written communication skills. - Comfortable with ambiguity and taking the initiative regarding issues and decisions. <Education> - BSCS or equivalent required, MSCS or equivalent strongly preferred
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4/28
We are looking for skilled engineers with eyes for building and optimizing distributed systems. From data ingestion, processing, storage optimization, we work closely with engineers and the product team to build highly scalable systems that tackle real world data problems. Our customers depend on us to provide accurate, real-time, and fault tolerant solutions to their ever growing data needs. The senior level engineer position is a highly technical position with responsibility to lead the development, validation, publishing, and maintenance of logical and physical data models which support various OLTP and analytics environments. About this role: - Designs and implements planet scale distributed data platform, services and frameworks including solutions to address high-volume and complex data collections, processing, transformations and analytical reporting - Work with the application development team to implement data strategies, build data flows and develop conceptual data models - Understand and translate business requirements into data models supporting long-term solutions - Analyze data system integration challenges and propose optimized solutions - Research to identify effective data designs, new tools and methodologies for data analysis - Provide guidance and expertise to development community in effective implementation of data models and building high throughput data access services - Provide technical leadership in all phases of a project from discovery and planning through implementation and delivery Qualifications: - 12+ years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations - Ability to conceptualize and articulate ideas clearly and concisely - Excellent algorithms, data structure, and coding skills with either Java, Python or Scala programming experience - Proficiency in SQL - Experience building products using one from each of the following distributed technologies: *Relational Stores (i.e. Postgres, MySQL or Oracle) *Columnar or NoSQL Stores (i.e. Big Query, Clickhouse, or Redis) *Distributed Processing Engines (i.e. Apache Spark, Apache Flink, or Celery) * Distributed Queues (i.e. Apache Kafka, AWS Kinesis or GCP PubSub) - Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document) - Experience working with GCP, Azure, AWS or similar cloud platform technologies a plus - Excellent written and verbal communication skills - Bonus points for contributions to the open source community
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