Senior Software Engineer, Cloud Engineering

| Hybrid
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Big Data, the cloud, elastic computing, SaaS, AWS, BYOD, HPC, SDN—we do it all. The solutions we build at ExtraHop are transforming the IT industry. From retail websites and point-of-sale systems to financial services and the healthcare industry, ExtraHop helps modern businesses handle the growing demands on their applications and infrastructures.

The cloud engineering team is responsible for ExtraHop’s hosted analytics and anomaly detection services. We’re growing fast and looking for people who love to learn and build things: products, companies, markets, and their careers! Do you want to grow with one of the best teams in the industry? Read on.

Responsibilities

  • Work on a large-scale, in-production, secure cloud service platform, using state-of-the-art container technologies and cutting-edge microservices architecture
  • Take advantage of rich analytics exposed by the ExtraHop stream processing platform
  • Collaborate with a cross-functional team to tackle complex problems in scalability, end-to-end security, continuous delivery, automation, logging / monitoring, and incident response
  • Drive continuous integration and deployment (CI/CD) practices using developer-driven testing, continuous integration, and highly automated test environments
  • Help choose the best technologies to solve problems as they arise
  • Work closely with product managers, data scientists, and operations teams to build new cloud analytic services from early designs to production code

Requirements

  • Solid knowledge of Go, Python, or an equivalent programming language
  • Self-starter with a strong problem solving track record and ability to grow and learn
  • Excellent communicator and collaborator who can iterate quickly

Desired Skills

  • Experience around container and related technologies (Kubernetes / Docker / HashiCorp - Packer, Vault, and Terraform / etcd).
  • Experience of building and scaling distributed, highly available systems
  • Experience with cloud services on AWS or Azure (RDS / S3 / SQS / EC2 / EMR)
  • Experience with data science information processing pipeline (Spark / Presto / SQL / Hadoop / HBASE)

About ExtraHop

At ExtraHop, we create great products because we give talented employees the freedom to be intellectually curious and creative. We seek a diversity of perspectives and foster employee quirkiness and spunk to help drive innovation. Every ExtraHop employee knows that we’re all in this together and that work is an important part of life so it should be fun. A sense of humor is required here, seriously!

We are the global leader with a novel approach to Security and IT Operational Analytics. Our market opportunity is greater than $20B and our solutions span all industries. Pretty neat, huh? If you want to join a fun team that produces award-winning products that provide tremendous business value and delight customers, then ExtraHop is the company for you!

Founded by engineers, ExtraHop is a Seattle-based technology company that delivers elegant solutions for the tech industry’s most challenging problems. 

As a privately held fast-growing technology leader in the $20B IT operations management space, ExtraHop Networks is positioned to be the next great systems company. We are known as innovators who take a smart, creative approach to solving problems. Our ExtraHop team and product line have received many awards, including wins in multiple categories of Best of Interop, a Gold Medal prize in Puget Sound Business Journal’s annual list of Washington’s Best Workplaces, and several Gold Stevie American Business Awards.

ExtraHop is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law

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Location

ExtraHop is located in the heart of downtown Seattle, with easy access to transportation, restaurants, retail, entertainment and stunning views.

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