About the role
This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
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Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.
Fresher - DevOps Engineer
Team: Engineering
Location: Remote
Relevant Exp: 0 - 2 Years
Background: Been there-Done that
Compensation: Above industry standards
Requirements
This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsive
Remote position (work-from-anywhere)
Immediate joiners must apply
DevOps Experienced - course/competitions/internships/job (<2 years)
Competitive compensation
************ | MUST HAVE | ************
1. Implemented major managed services in AWS or Azure or GCP
2. Implemented Python application containerization
3. Implemented Javscript application containerization 4. Implemented CI/CD pipelines at scale
5. Implemented container orchestration
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We are offering one of the most challenging & exciting work on DevOps Deployments. You shall be working on sophisticated platforms, products and applications
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We are looking for developer with real passion for deployments. This is a specialist and individual contributorrole. Product development experience preferably at a startup or a lean team is desired
ROLE
We are looking for engineers with real passion for services deployments with actual hands-on experience deploying data artefacts on AWS or Azure or GCP. You would be required to work with our engineering team on development of several services
Mandatory
1. Deploy docker containers orchestrated through AWS EKS or Azure AKS or Google GKE 2. Deploy web application on any cloud platform managed service 3. Deploy microservices on anycloud platform managed service 4. Deploy node apps and/or django apps on docker containers 5. Deploy AWS managed databases - relational and no sql
Preferred 1.Deploy deep learning pipelinesvinaigretteon GPU containers 2.Worked on AWS SQS, AWS MKS, AWS EMR, AWS S3, AWS SNS - Azure or GCP equivalent 3. Worked on development of data platform
How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write
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Benefits
Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.
We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at
We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
We look for intent & talent, not skills 1. You must be [super sharp] 2. You must be [extremely energetic] 3. You must be [honourably honest] In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you:[Greatest work of life]
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace
Originally posted on Himalayas