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Join the Advanced Data Analytics team to build and enhance Credit Data Content, utilizing various statistical methodologies for predictive modeling and data governance.
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Responsibilities:
- Architect, build, and maintain highly scalable, resilient, and secure cloud infrastructure (e.g., AWS, Azure) tailored for high-throughput media applications.
- Lead the design, development, and continuous enhancement of sophisticated CI/CD pipelines to automate the build, test, and deployment of our media products and services.
- Champion and implement Infrastructure as Code (IaC) principles and practices using tools like Terraform, CloudFormation, or Ansible across all environments.
- Drive the strategy and implementation for containerization (Docker) and orchestration (Kubernetes – EKS, AKS) of media-centric applications.
- Establish and manage comprehensive monitoring, logging, alerting, and observability solutions (e.g., Prometheus, Grafana, ELK Stack, Datadog) to ensure optimal performance and rapid incident response for media services.
- Define and enforce application security best practices (DevSecOps) throughout the agile Software Development Lifecycle (SDLC).
- Mentor and provide technical leadership to DevOps engineers, fostering a culture of innovation, collaboration, and continuous improvement in cloud and DevOps practices.
- Establish technical design principles and operational best practices, driving their adoption across product portfolios to integrate operational readiness into the development lifecycle.
- Collaborate closely with software engineering, QA, and product teams to define infrastructure requirements, troubleshoot complex issues, and ensure the successful delivery of high-quality media technology solutions.
- Lead efforts in performance optimization, cost management, disaster recovery planning, and business continuity for all critical media services.
Requirements:
- BS/MS/BTech in Computer Science, Engineering, or a related field preferred.
- 8+ years of progressive experience in DevOps, Site Reliability Engineering (SRE), or Cloud Operations, with lead, or architectural capacity within a product-centric SaaS or Media Tech environment.
- Deep understanding and substantial hands-on experience with fundamental services on major cloud platforms (AWS strongly preferred; GCP or Azure is a plus), including compute, networking, storage, databases, security, and observability services.
- Expertise in one or more scripting/programming languages such as Python, Go, Bash, or Ruby.
- Excellent hands-on experience with Kubernetes, Docker container technology, and associated ecosystem tools.
- Proven experience as a technical leader with a strong background in software development principles and scalable web application architectures.
- Deep technical knowledge of cloud-native architectures and technologies relevant to media streaming, content processing, and delivery.
- Proficiency in driving secure SDLC with established DevOps/DevSecOps practices, metrics, and tooling.
- Hands-on development experience with infrastructure as code frameworks; Terraform highly preferred.
- Expertise in CI/CD automation tools (e.g., Jenkins, GitLab CI, CircleCI, ArgoCD) and configuration management tools.
- Strong understanding of networking protocols, security best practices, and compliance standards relevant to media applications.
- Experience with monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, ELK, Datadog).
- Prior experience in the Media Technology domain (e.g., video streaming, VOD, live broadcast, CDNs, digital rights management) is highly desirable.
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
