Careers

Bachelor’s Degree

Minimum of 1-2 years of experience in the field of Tech & Software Sales

Highly motivated self-starter in sales with an innate passion for Technology, Data, and Cloud environments.

 Harnesses a Collaborative, Coachable, and Growth mindset

 Proven Track Record of Success with regards to Prospecting Fortune 500 Enterprise Clients

Excellent verbal and written Communication skills alongside great listening skills

Ability to Develop Long lasting & Strong relationships with clients

Team player who is highly proficient in working at a fast-paced, goal oriented high growth sales environment

Bachelor’s Degree or Equivalent in Computer Science, Information Systems Management, or IT.

Minimum of 3-4 years of experience in designing, implementing, and testing migration strategies

Strong expertise in the fundamentals of major cloud providers such as Azure, AWS, and GCP.

Experience with agile development methodology is a must

Experience with an Automation meets Orchestration methodology is preferred

Possess a clear understanding of security protocols, compliance with data privacy laws, and conformity with aspects of data governance such as e.g. data residency laws.

Bachelor’s Degree in Computer Science or a related technical field  2+ Years of Experience leading projects, and designing, analyzing, and troubleshooting distributed systems

2-3 Years of Experience with various data structures and algorithms

Highly competent in working with Hadoop, Hive, Databricks, or similar technologies

Minimum 2 years of experience in building highly available and scalable Enterprise SaaS Applications

Strong attention to detail, curiosity, and a willingness to learn about new technologies.

Ability to effectively write reliable, secure, performant, and scalable code

Successfully conduct and perform Code reviews and analysis

Bachelor’s Degree in Computer Science (Master’s Degree preferred)

Performed multiple use cases utilizing the programming languages Python, Scala, Go, or Java.

Minimum 2 years of experience with machine learning algorithms & tools, artificial intelligence, deep learning, and natural language processing.

Excellent problem solving and software design skills

Comfortable in communicating with Data scientists, Data Engineers, and ML/AI Product Managers

Highly skilled with Container technologies and Container Orchestration Systems like Kubernetes

Successfully deploy ML to detect, identify, and classify PII, PCI, and PHI data within different file formats that are stored within structured or unstructured systems across on-prem or cloud environments.