What you will do:

• Design and build automated pipelines for media ingest processing and distribution.
• Implement and maintain CI/CD workflows tailored for media-centric applications and services.
• Architect and manage scalable cloud infrastructure (AWS) for high-availability media pipelines.
• Working on ways to automate and improve development and release processes.
• Implement robust monitoring/logging to ensure system reliability and performances.
• Implement DevSecOps best practices in pipeline management and cloud access control. Also ensuring that systems are safe and secure against cybersecurity threats.
• Work cross functionally with Software engineers, broadcast teams and operations to align on technical requirements.
• Mentor junior engineers and help establish best practices for DevOps in media environments.
• Testing and examining code written by others and analyzing results.
• Develop internal tools, scripts (Java, Python, Bash, Node.js) and use Cloud formation or similar tools to streamline media integration tasks and infrastructure as code (IaC).
• Able to assist/perform software upgrades/migrations in project.
• Maintain comprehensive documentation of pipelines, architectures and integration touchpoints in confluence.
• Provide reports and analysis on cost optimization, system performance- optional.
• Provide training sessions and documentation to operations and support teams for new solutions.
• Identify areas of improvement in existing workflows and contribute to strategic enhancements.
• Plan, implement, and manage changes, adhering to established change control processes.
• Stay updated with industry trends and emerging technologies to improve solution design and delivery.

The skills you bring: 
Must Have:

• Qualification and Experience: 5-9 Years relevant experience in IT Industry & Bachelor’s degree in computer engineering/information technology or equivalent.
• Strong AWS services knowledge (EC2, S3, Lambda, RDS, etc.).
• Expertise in CI/CD pipelines (Jenkins, Sonar, Git etc.).
• Proficiency in container technologies, with a focus on Kubernetes.
• Experience with serverless, Kafka, Elasticsearch.
• Strong programming skills in Python or scripting languages.
• Experience with monitoring & logging tools (CloudWatch, ELK).