Staff Engineer

Posted 4 Days Ago
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Senior level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Designs, builds, and delivers scalable software-defined storage components for a cloud control plane. Responsibilities include architecture discussions, prototyping, code reviews, performance and reliability improvements, product release collaboration, documentation, project management, reporting, and mentoring. The role requires extensive Go development, Kubernetes, AWS, distributed databases, monitoring, testing, Linux, Git, and CI/CD experience, with occasional travel.
Summary Generated by Built In

We are looking for a Staff Software Engineer for our Cloud Control Plane team who will design, build and deliver components of Infinia software storage solution:

  • Participate in the implementation of scalable software defined storage components

  • Drive design discussions, build prototypes and contribute to deliver high quality products

  • Conduct code reviews and improve scalability, stability, reliability and performance of solutions.

  • Collaborate with your teammates and integrate a group of passionate developers in an outcome-oriented environment.

  • Work closely with program management in the successful delivery of product releases

  • Contribute to and validate product documentation

  • Effectively manage, engage and complete projects as they are assigned to the role

  • Provide regular reports on project progress and activity updates

  • Ability to travel as may be required from time to time (e.g. for team meetings, training)

 
Qualifications:
  • BS/MS/Ph.D in Computer Science, Computer Engineering, Statistics, Mathematics or equivalent degree/experience.

 
Experience:
  • Basic Qualifications • 8+ years of experience in software development, with extensive knowledge of GoLang. • Strong experience with Kubernetes for managing and orchestrating containerized applications in cloud environments. • Proven experience in deploying and managing applications on AWS, utilizing services such as EC2, S3, and RDS. AWS Solutions Architect certification or equivalent experience is highly desirable. • Strong experience with Elasticsearch for efficient search and data retrieval. • Experience with Cassandra for distributed database management and Prometheus for monitoring and alerting in distributed systems. • Proficient in unit testing and mocking frameworks such as JUnit and Mockito. • Solid understanding of SOLID principles, object-oriented design, and design patterns. • Basic experience with Linux, including deployment skills and bash scripting. • Hands-on experience with Git, CI/CD pipelines, and Agile methodologies. • Excellent communication skills for articulating technical concepts and mentoring teams. Good to Have • Familiarity with microservices architecture and event-driven systems. • Experience with additional scripting languages (e.g., Python, Shell) for automating tasks and improving development workflows.

Skills Required

  • BS, MS, PhD in Computer Science, Computer Engineering, Statistics, Mathematics, or equivalent degree or experience
  • 8+ years of software development experience
  • Extensive knowledge of Go
  • Strong Kubernetes experience for container orchestration
  • Experience deploying and managing applications on AWS, including EC2, S3, and RDS
  • Strong Elasticsearch experience
  • Experience with Cassandra for distributed database management
  • Experience with Prometheus for monitoring and alerting
  • Proficiency with unit testing and mocking frameworks such as JUnit and Mockito
  • Understanding of SOLID principles, object-oriented design, and design patterns
  • Basic Linux experience, including deployment and Bash scripting
  • Hands-on experience with Git, CI/CD pipelines, and Agile methodologies
  • Excellent communication skills, including technical communication and team mentoring
  • AWS Solutions Architect certification or equivalent experience
  • Familiarity with microservices architecture and event-driven systems
  • Experience with Python or Shell scripting for automation
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The Company
HQ: Chatsworth, CA
706 Employees
Year Founded: 1998

What We Do

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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