We are building an intuitive cloud-native platform for Kubernetes to define, manage, integrate & scale applications across multiple clusters.

Does the following sound like you?

• You like analyzing challenges, troubleshooting issues and putting together a solution .
• It's your passion to keep thinking about various ways to improve a product, solution or a process.
• Your pride yourself on helping & educating people.
• You like to continuously research & learn using self-study, training programs & certifications.

We have a rigorous interview process as we hire the best. If you get through, this is what a typical day would look like

What you will be doing

• Collaborating with customers to arrive at the best solution using our products & services.
• Collaborating with our engineering and solution architecture team to improve our products and services.
• You will become an expert on Kubernetes as our products are based on it and we deploy and manage our applications on Kubernetes.
• Educating our customers on best practices and how to use our products & services to achieve their business outcomes.
• Empathetic, analytical and efficient are the most important attributes of your job.
• You will be an advocate on cloud-native best practices.
• Diagnose technical issues and work with our engineering team to resolve issues.
• We believe in a merit based culture and you are expected to participate in all design and architecture discussions to provide your first hand experience in helping our customers.
• You will primarily be working on Linux (Mac is fine too).
• You will be working remotely with a bunch of like minded individuals in a collaborative manner.
• We firmly believe in a DevOps culture and all engineers share the responsibility of managing and deploying applications.

What you will bring

• Should have experience with at least one language - Java, Golang or Javascript
• Strong written and oral communication skills
• Experience helping people in a personal or professional setting
• Strong computer science fundamentals, data structures, and algorithms