AWS DevOps Engineer Location: Chennai, India
Who we are: INVIDI Technologies is the world's leading developer of software transforming television all over the world. Our two-time Emmy® Award-winning technology is widely deployed by cable, satellite, and telco operators. We provide a device-agnostic solution delivering ads to the right household no matter what program or network you’re watching, how you're watching, or whether you’re in front of your TV, laptop, cell phone or any other device. INVIDI created the multi-billion-dollar addressable television business that today is growing rapidly globally.
INVIDI is right at the heart of the very exciting and fast-paced world of commercial television; Companies benefiting from our software include DirecTV and Dish Network, networks such as CBS/Viacom and A&E, advertising agencies such as Ogilvy and Publicis, and advertisers such as Chevrolet and Verizon.
INVIDI’s world-class technology solutions are known for their flexibility and adaptability. These traits allow INVIDI partners to transform their video content delivery network, revamping legacy systems without significant capital or hardware investments. Our clients count on us to provide superior capabilities, excellent service, and ease of use.
The goal of developing a unified video ad tech platform is a big one and the right AWS DevOps Engineer - like you – can flourish in INVIDI’s creative, inspiring, and supportive culture. It is a demanding, high-energy, and fast-paced environment. INVIDI’s developers are self-motivated quick studies, can-do individuals who embrace the challenge of solving difficult and complex problems.
About the role:
We are looking for an experienced AWS DevOps Engineer responsible for making our platform application more scalable and reliable. An AWS Specialist is expected to understand all the core AWS services including EKS, ECS, EC2, and S3. You will need to be able to deploy microservices and web service APIs on AWS using a CI/CD approach. You will also be responsible for setting up a monitoring stack. Metrics obtained from monitoring will be used for service capacity planning.
Experience in programming languages including Java, Python, and bash is preferred. It is also preferred that you have experience with data processing and data warehouses, AWS Batch, Glue, Data Pipelines, RedShift, and Athena. You must have deep automation experience in build, test, deployment automation, post-release surveillance, and monitoring.
Key responsibilities:
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