Role DevOps Engineer
Reports To Software Architect
Use the latest cloud infrastructure and technologies to tackle security,
deployment and scalability challenges for advanced applications in the areas
of marketing analytics and real-world evidence analytics. You will be
responsible to setup and maintain the infrastructure and resources for
multiple projects depending upon the business requirement. You will be
required to work in a cross-functional team comprising of UI designer, data
scientists, UI developers, server-side developers and client facing team.
Qualifications / Requirements
Strong experience building and maintaining production systems on AWS using EC2, RDS, S3,
Redshift, Cloud Formation, etc. and familiarity interacting with the AWS APIs. You should be
equally comfortable in a traditional datacentre setting.
Experience with Cloud Formation
Experience with infrastructure automation solutions
Proficiency in Linux administration (CentOS or Ubuntu)
Experience installing/maintaining tools and software like SASStudio, RStudio.
Experience with relational(MySQL) database. Good to have knowledge with Redshift.
Experience in deploying application in cloud.
Strong knowledge with Docker/Docker-compose.
Knowledge of best practices and IT operations in an always-up, always-available service
Proficient understanding of code versioning tools (Git)
Functions and Responsibilities
Interact with the team members and provide support and resources based on project needs.
Supervision and Coordination of Offshore DevOps Resources
Collaborating with developers to make sure new environments meet requirements and conform to best
Manage all AWS infrastructure (EC2, RDS, Redshift and many more)
Implement processes to automate deployment and scaling
Learning about and gathering new technologies and related tools to introduce to the company to grow
the agile development environment.
Review, monitoring and set up alerts for all the various services
Help with cost optimisations of infrastructure
Experience in Atlassian products administration
Must have excellent debugging and problem-solving skills
Excellent communication skills to work in a globally distributed team.
1. Company Profile, Work Culture:
b. Profile: A data science company which blends data science and industry expertise
to deliver actionable insights and facilitate decision-making. We offer customized
analytic products and solutions to our clients to help them attain business goals.
Our solutions are unique, innovative and effective because we interweave science
and art to unearth patterns and insights which are buried deep into data. We are
headquartered in California and have a development and service delivery center
Our work is mainly focused in Healthcare Industry. The global healthcare
landscape is evolving. It is facing many challenges like unsustainable rise in spend
on healthcare products and services, aging population, lack of access etc. Some of
the areas that we operate in include Segmentation, Multi-channel resource
allocation, Promotion response analysis, Field Force sizing and alignment,
Concept testing, Forecasting, Patient and Payer level analytics. We make
extensive use of advanced Statistical and Machine Learning techniques.
c. Culture: Employee-friendly, open and democratic.
Industry: Analytics/Data Science/Advanced Analytics/Product Development