Working closely with the engineering team to deploy and maintain the infrastructure.
Automate and streamline our operations and processes for scale.
Maintain SLAs by tuning systems according to scale.
Designing systems at scale to make sure solutions built are economical and secured.
Strong understanding of immutable infrastructure and infrastructure as code concepts.
A 'detail obsessed' professional who puts customer experience at the heart of any product design
A technology enthusiast who is up-to-date with the latest developments in the world of technology
Someone who can:
Balance customer delight, technology viability and business feasibility
Think big and take ownership of deliverables from ideation to execution
Embrace chaos, uncertainty and volatility
Work in a dynamic environment with a diverse set of stakeholders

Key Stakeholders

Our Ideal Candidate

AWS certified DevOps Engineer with 5-8 years of experience.
Hands on experience working on AWS and Google Cloud.
At least one-year exp in microservices using Docker, kubernetes (EKS), Lambda, EC2, ingress and api gateways.
Most have worked with Container and automation tools such as Docker, terraform and Ansible Jenkins
In-depth knowledge of Networks topology and cloud Security.
Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
Well versed with at-least two scripting languages - Shell and one more (Python , Ruby). And CloudFormation .
Sound understanding of OS (Linux, CentOs) and OS hardening.
Defining and setting development, test, release, update, and support processes for DevOps operation
Capable of leading a team of ops and ability of prepare and execute a vision.
Implementing various development, testing, automation tools, and IT infrastructure
Should be able to work Independently and execute tasks with precision.
Encouraging and building automated processes wherever possible
Code, Build and Release management (CICD) using GIT / Bitbucket and Jenkins.
Optimising and monitoring server performance and infrastructure cost optimisations.
Operation and architecture of multi-tier distributed systems Involving load balancers, firewalls, elastic compute, RDS and KAFKA.
Having the working knowledge of Promatheus and Grafana