Sr. Development Engineer in Test, API Protection
Publicado en 2025-10-19
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Desarrollo de Software
Ingeniero Cloud, Ingeniero de Software, DevOps, Desarrollador/a Back-end
Location: Santxolopeztegi
Spain
About NetskopeToday, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market‑leading cloud security company and an award‑winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork.
From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on Linked In and Twitter @Netskope.
Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
The API Protection Team is responsible for accelerating support for SaaS apps across Netskope’s CASB offering. The team is responsible for designing and implementing a scalable and elastic architecture to provide protection for enterprise SaaS application data. This is achieved by ingesting high volume activity events at near real‑time and analyzing data to provide security risk management for our customers, including data security, access control, threat prevention, data loss prevention, user coaching and more.
We focus on key abstractions across the integration pipeline:
Authentication/Authorization, REST APIs, webhooks, and more. We use popular programming languages and cloud technologies in our stack:
Golang, Python, Kubernetes, Spinnaker, Jenkins, Docker, Redis, Click House, Postgre
SQL, and more!
- As a member of this team you will work in an innovative, fast‑paced environment with other experts to build Cloud‑Native solutions using technologies like Kubernetes, Helm, Prometheus, Grafana, Jaeger (open tracing), persistent messaging queues, SQL/NO‑SQL databases, key‑value stores, etc. You will solve complex scale problems, and deploy and manage the solution in production. If you are driven by high‑quality, high‑velocity software delivery challenges, and using innovative and cutting edge solutions to achieve these goals, we would like to speak with you.
- As a member of this team you will work cross‑functionally to build state‑of‑the‑art cloud platform test automation to support our growing portfolio of API Protection solutions.
- Contribute to building a flexible and scalable automation solution
- Develop and automate release engineering and security review processes.
- Participate in the on‑call (only during business hours) rotation to triage production issues.
- Identify and communicate risks about our releases.
- Own the release and be a customer advocate.
- Be able to own and make quality decisions for the solution.
- Help create and implement quality processes and requirements
- Develop expertise in our cloud security solutions, and use that expertise and your experience to help design and qualify the solution as a whole
- Work closely with the development and design team to help create an amazing user experience
- Developing test libraries and coordinating their adoption.
- Owning and making quality decisions for the solution.
- 5+ years of experience including 2+ years of SDET experience with cloud environments
- Strong Java or Python (or equivalent scripting) programming language skills. Golang is a plus
- Knowledge of Jenkins, Drone, Spinnaker, or any other CI system.
- A proponent of Strong Quality Engineering methodology.
- Strong knowledge of Linux systems, Docker, Kubernetes.
- Experience building automation frameworks
- Experience with in‑memory databases like Redis
- Experience with Databases, SQL and No
SQL (Mongo
DB or Cassandra) a plus - Bonus points for…
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