Staff Data Security Engineer - Nutanix Data Lens

The Opportunity

Nutanix combines its industry-leading software-defined storage technologies with a cloud-based multi-tenant solution (NDL) to build the best-in-breed data management and security solution.

You will join an impactful, fast-moving unified storage group team. You will be crucial in designing and developing reliable, efficient, and high-performance software for large-scale enterprise and hybrid cloud environments.

Your work will involve understanding complex distributed systems and solving customer requirements by designing innovative solutions.

Working closely with various teams, you will contribute to delivering high-quality products in a fast-paced environment.

The role also offers the opportunity to engage with customers and support them in resolving production issues. You will have the opportunity to address technical debt and drive aggressive performance goals for the platform, while ensuring prompt resolution of customer issues by collaborating with support and SRE teams.

Engineering / R&D at Nutanix Nutanix Data Lens, a new product offering, is a cloud-based data management, security and compliance solution for Nutanix unified storage - Files and Objects.

The product not only supports Nutanix unified storage but also supports other storage systems. NDL helps developers build an integrated data pipeline with storage systems, utilizing the cloud platform for speedy feature rollout and better manageability and support.

For business owners, NDL helps reduce data blindness and gives a comprehensive view of data on data complying with security and compliance standards.

Some of these features are already available to our customers and need further improvements to make it enterprise-grade.

We are utilizing a primary tech stack of :

• Go Lang and Python
• Kubernetes
• Cloud platform
• Snowflake
• Interface with storage system and build data pipeline.
• APIs and Ui stack running on containers

Your Role

• Design and develop the security features that interface with the storage systems and build the comprehensive security analytics features.
• Develop a good understanding of Cloud services, Snowflake, and building data pipelines that are performance and cost-effective
• Suggest the cloud solution that can help optimize the cost and the performance.
• Develop software features and unit tests designed as per Nutanix framework
• Review and mentor Junior engineer's work and guide them with code design.
• Work with the Nutanix Global (mainly India and USA) engineering and multi-functional teams

What You Will Bring

• BS / MS degree in Computer Science or equivalent
• 10 15 years of experience building products on distributed systems, preferably in the Data Security domain
• Working knowledge of the security domain - Ransomware protection, Anomaly detection, data compliance
• Strong knowledge of Cloud platform, APIs, containers, Kubernetes, and Snowflake
• Knowledge of building micro-service-based applications.
• Hands-on development in either Golang or Python
• Strong development experience in Linux / Unix OS platform
• Hands-on experience working with version control / DevOps tools Git, Gerrit, or Jenkins

About the Team Meet Pankaj Sinha

• Joined Nutanix in 2015 and currently leading the Data Lens technical team. Grew the team organically from zero engineers to a team of 50+ with multiple engineering leaders.
• Currently leading the charter to build scalable and enterprise-grade data management, security and compliance solutions Data pipeline, Smart Tiering, Ransomware protection, Scheduler and NDL team in the US, Europe, and India
• 25+ Years of experience building and shipping products with startups; Nutanix, Cisco, and Applied Materials.

What The Team Says

Pankaj is very dedicated and driven for the projects he works on. He takes his job seriously and he has owner's mindset.

His intent is always to get the job done most efficiently. He also understands the challenges in peer teams and ready to cooperate and help..

Pankaj is a great person to work with; very logical in his approach, understands the quality aspect of the project really well, always willing to help.

He also tries to hire the best.

Have bias for action is probably Pankaj's strongest asset - Just get heads down, and get things done. The sheer grit that goes along with it, and not worrying about what the noise in the rest of the org, is a great dependable behavior to lean on.

How We Work

As a global team, we work in various regions worldwide and function asynchronously as much as possible. Every engineer is given full autonomy and responsibility to work on features while collaborating with other stakeholders.

As we work on some of the industry-leading solutions, we are focused on learning and leading the way when it comes to infrastructure solutions for hybrid cloud.

We mainly focus on getting our customers the most ROI and strive to be the best HCI solution in the world, whether from a performance or savings perspective.

The pay range for this position at commencement of employment is expected to be between USD $ 172000 and USD $ 344400 per year.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and / or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered.

Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an at-will position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department / team performance, and market factors.