Unity Game Developer

At Egnyte we build and maintain our flagship software: a secure content platform used by companies like Red Bull and Yamaha.

We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.  

We have 300+ engineers spread across the US, Poland, and India.

You will be part of our DevOps Team working closely with our DBA team in automating, monitoring, and scaling our massive MySQL cluster. Previous MySQL experience is a plus. 

Your day-to-day at Egnyte

• Designing, building, and maintaining cloud environments (using Terraform, Puppet or Kubernetes)
• Migrating services to cloud-based environments
• Collaborating with software developers and DBAs to create a reliable and scalable infrastructure for our product. 

• 2+ years of proven experience in a DevOps Engineer, System Administrator or Developer role, working on infrastructure or build processes
• Programming prowess (Python, Java, Ruby, Golang, or JavaScript)
• Experience with databases (MySQL or Postgress or RDS/Aurora or others)
• Experience with public cloud services (GCP/AWS/Azure)
• Good understanding of the Linux Operating System on the administration level
• Preferably you have experience with HA solutions: our tools of choice include Orchestrator, Proxysql, HAProxy, Corosync & Pacemaker, etc.
• Experience with metric-based monitoring solutions (Cloud: CloudWatch/Stackdriver, On-prem: InfluxDB/OpenTSDB/Prometheus)
• Drive to grow as a DevOps Engineer (we value open-mindedness and a can-do attitude)

Key Responsibilities:

- Actively seek out new sales opportunities through cold calling, networking, and social media

- Set up meetings with potential clients and pitch them to take PlanetSpark trial classes

- Negotiate and close deals, while providing exceptional customer service

- Follow and achieve department's sales goals on a monthly, quarterly, and yearly basis.

Sell BETSOL products and services using the power of words. • Write content that will be included in marketing, public relations, and advertising material. • Write engaging headlines and concise product descriptions. • Create conversion-oriented content that turns visitors into customers. • Collaborate with product managers and product owners to build a complete understanding of BETSOL’s products and services. • Research the technology and solutions that our competitors offer. • Responsible for gaining in-depth understanding of backup industry's terms and trends. • Ability to understand technical terms and speak to B2B audiences about complex topics. • Brainstorm visual and content ideas with other members of the Marketing team. • Leverage brand strategies, unique voices of BETSOL and its various products to maintain identifiable voices while also producing creative and innovative campaigns. Required Skills • 1-3 years of content marketing in a web-based marketing environment. • Familiarity with web content marketing best practices. • Excellent verbal and written communication skills including an ability to work in a team environment. • Ability to share a portfolio of relevant works. Preferred Skills • Experience marketing for a technology company. • A strong “technical IQ” to match creative aspirations. • Experience working in backup and recovery industry.

• Reporting to the Customer Experience Manager
• Work from office: the role will be based in Bark’s offices in Bangalore
• The package will be a good base salary with excellent commission on top
• He/she will be responsible for the following aspects of customer success, including:
• Front-line B2B support for inbound calls & mails (ratio 80:20))
• Successful onboarding of professionals to buy their first pack, soft sales for elite/up-gradation
• Build sustainable relationships and trust with customer accounts through open and interactive communication

Requirements

• Well versed in English and Marathi (oral and written communication)
• Experience in sales or customer support domain will be appreciated
• Fresh graduate or less than 2 years of experience
• A go-getter attitude to get things done efficiently and resolve user queries in a single contact
• Excellent communication style and ability to stay calm under pressure

Desirable

• Knowledge of any CRM tools/customer success platforms and how they work (Zendesk is preferred)
• Comfortable to work for 40 hours/ week on a roster basis
• Knowledge of other languages will be an advantage

• Expert in Python. Comfortable with Web frameworks, such as Flask or Django
• Familiarity with Object Relational Mapping Libraries and ability to Integrate with Multiple Data Sources into One System
• Understanding of Limitations of Python and Multi Process Architecture. Understanding of Design Principles of Scalable Application
• Has familiarity with data frameworks in Python - Pandas or
• Good object-oriented design skills and knowledge of design
• Knowledge of key-value stores, caching, search, messaging queues
• Minimum 5 years of experience in the above

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.