DevOps / Infrastructure Engineer (offline)

We are a team building a category defining product and have achieved early market traction. As a well funded, early stage startup we offer a unique opportunity for highly driven, enterprise sales leaders who want to help write the playbook. Are you someone who wants to create the narrative, not just follow it? Do you want to help define and build a category? Are you excited for the impact AI and machine learning will have on business? If this sounds like you, Nexla is where you belong.

Join us if you seek work with a purpose. If you like to work with people who can become your lifelong friends, mentors and trusted advisors. Come because you like to work with a well-aligned team where everyone is exemplary—a place where you can learn from them and they are also keen to learn from you.

This is a place with singular focus on making an impact in the machine learning age. We believe in saying less and doing more. We care about our work and want to get it in as many hands as we can. We know the explosion of machine learning on big data will change the world, and we’re here to help.

The Opportunity
Nexla’s Data Operations Platform is the data infrastructure for companies collaborating with a large number of partners is a core element of the business, whether it drives Machine Learning, AI or business operations. As an intelligent infrastructure service creating smart data pipes, we deal with high volumes of data across different types of cloud and on-premise infrastructure. This is a unique opportunity to create industry-leading infrastructure innovation working with the latest technology in containerization, microservices, and multi-colo deployments.

Core Company Values
Have Empathy — towards customers, colleagues, family and everyone else
Be Curious — ask, innovate, learn, repeat
Be Intellectually Honest — we don’t push it under the rug
Achieve Excellence — don’t just try, get it done!
Remember to Relax — it’s a marathon, not a sprint

Requirements
Strong Computer Science fundamentals with deep understanding of performance in compute, storage, networking, and distributed systems.
Excellent system administration and scripting skills to be hands on a small team of very smart engineers
Experience working with Big Data, Streaming Data, Data Pipelines, and most importantly Data Security
Ability to manage and scale in cloud, VPC, on-premise, and hybrid environments
Hands on experience with container based, kubernetes managed deployments in AWS, GCP, and On-premise
Process driven with the right mix of skepticism and optimism.
Ability to deliver three to five 9s of SLA across large number of customers
Scale, redundancy, performance, and recovery are the 4 pillars of everything you evaluate, design, or build.
You can code, you can script, and what you don’t know you can learn quickly