Sr Software Engineer - Big Data

Verisign•Reston, VA

15h•$164,300 - $222,300•Hybrid

About The Position

Verisign helps enable the security, stability, and resiliency of the internet. We are a trusted provider of internet infrastructure services for the networked world and deliver unmatched performance in domain name system (DNS) services. We are a mission focused, values driven company where each individual can contribute to building a stronger, more secure internet. We offer a dynamic and flexible work environment with competitive benefits and the ability to grow your career. Verisign is looking for a Senior Engineer to join the Architecture and Infrastructure Team. In this role the Engineer will be responsible for implementing systems to gather and analyze large data sets representing network/application traffic flows, DNS and Web content data and much more to derive actionable operational and business intelligence. The ideal Engineer is an individual who can bring ideas from all areas, is proactive, has a strong sense of urgency and ownership, and is used to deal with distributed systems, large-scale system design, networking, data storage and security. The successful candidate will support the design, development, integration, testing, deployment, and maintenance of software solutions in a collaborative Agile environment. This role provides an excellent opportunity to gain hands-on experience with modern software engineering practices, including software integration, vulnerability management, automated testing, and CI/CD pipeline development in a big data eco-system. Successful engineers will work closely with team members to master our software and make a positive impact on projects as well as team chemistry.

Requirements

Bachelor’s + 12 years OR Masters + 10 years of relevant work experience
8+ years of software development experience in a Unix environment
Expert level programming experience with Java, Python or other equivalent programming language
Experience with Big Data (Map reduce, Spark, etc) applications and jobs
Experience with Hadoop, Hive, Kafka, Spark and other Big Data Technologies
Experience with testing systems from existing system and functional specifications
Experience with performance testing and tuning of big data jobs
Experience in data migration methodologies
Experience with RDBMs, Timeseries DBs and/or NoSQL databases
Experience working in Linux environment
Experience with Automation frameworks/systems like Ansible, Terraform, Jenkins
Experience with Private or Public Cloud environments and Cloud-native application architectures
Experience working in highly productive team environments employing agile practices

Responsibilities

Apply “Big Data” solutions to solve real customer problems using web content and traffic data
Design, write, test, and maintain object-oriented software for collecting, storing, analyzing and reporting on big data sets, using Java, Python and various open-source technologies
Work on systems with enormous data processing requirements and ensure all OLAs and SLAs are comfortably met
Perform all aspects of system verification, including all phases of the testing process
Work with application architects and developers to define test approaches, success criteria, and testing procedures to ensure quality in data, data processing, and interfaces
Use industry best practices to deliver high-quality solutions leveraging open-source tools/toolkits and utilities with automated daily builds, tests, and deployment
Collaborate effectively with cross-functional organizations including system architects, project managers, product managers and operations
Be a hands-on Engineer and lead by example to earn the respect as an effective technical leader
Foster a culture of documentation and knowledge sharing across the organization
Takes ownership and responsibility for organizational practices and processes and their continuous improvement
Leads incident response across the engineering organization as needed to troubleshoot challenging problems that involve virtual environments, networking, kernel configs, distributed systems