FanCode is India’s premier digital sports destination, dedicated to delivering a best-in-class experience for fans across live and non-live sports. Launched in March 2019 by industry veterans Yannick Colaco and Prasana Krishnan, FanCode has reached over 160 million users. The platform features a wide array of global and domestic sporting leagues, in partnership with leading sports associations. FanCode offers interactive live streaming through industry-first subscription models, including Match, Bundle, and Tour Passes, as well as monthly and annual plans at accessible price points. Some of the marquee properties include La Liga, Formula 1, MotoGP, cricket leagues from around the globe including CPL, Super Smash amongst others.

Dream Sports, India’s leading Sports Technology company, is the parent company of FanCode, with brands such as Dream11, and DreamSetGo in its portfolio.

Role Overview:

Technology @ FanCode

The mission is to create a platform for all sports fans, covering Sports Live Video Streaming, Live Scores & Commentary, Video On Demand, Player Analytics, Fantasy Research, News.

Our tech stack is hosted on GCP and is built on GKE, GCS, Cloud Run, MediaCDN utilizing a microservices-based architecture with Java, Node.js, Python, Redis, MySQL, Cassandra, and Elasticsearch. They are a data-driven team that also uses Python and big data technologies like Kafka, Spark, and Redshift for Machine Learning and Predictive Analytics. As a data-driven team, we also use Python and other big data technologies for Machine Learning and Predictive Analytics. Besides these, we heavily use Kafka, Spark, Redshift and other cutting edge tech to keep improving FanCode's performance.

You will be joining the Core Infra Engineering Team, responsible for maintaining a fresh, stable, and secure environment. The team builds a great foundation, spreads infrastructure knowledge across other teams, and evangelizes best practices in:

Continuous Delivery

Containerisation & Orchestration

Automation

Networking

Security

Observability

Design and deploy a resilient Cloud Architecture by using Infrastructure as Code automation tools.

Design and implement services and tools to manage and scale a service-oriented architecture (e.g., service discovery, config managers, container orchestration, and more).

Build self-serve infrastructure automation and optimize deployment workflow at scale.

Build and maintain a Containers Orchestration Platform on GCP Cloud Infrastructure.

Develop and support tools for infrastructure, and evangelize best practices to be used by other engineers.

Write Code to implement networking and security at scale.

Mentoring/supporting engineers regarding development, concepts, and best practices.

4+ years of experience as a DevOps or Platform Engineer.

Experience with GCP Cloud Infrastructure

Experience with Infrastructure Automation Tools (e.g., Terraform, Ansible)

Experience with Linux & Networking in Production Clusters.

Experience with Docker & Container Orchestration (e.g., GKE, Helm, ArgoCD).

Experience with SDLC, SCM, CI/CD Pipelines, Build and Release (e.g., GitHub Actions, MVN, NPM).

Experience with Observability Platforms (e.g. New Relic)

Good Understanding of Microservice Design patterns and Distributed Architecture.

Experience with Database Administration (e.g., MySQL, Cassandra, Redis, Kafka)

Experience with CDN and Caching Technologies. (e.g GCP MediaCDN, Redis).

Experience with coding in at least one higher-level language (e.g., Python or GoLang).

Experience working on Multi Cloud Setup (AWS/Azure).

Experience on designing and operating AI Platforms.

Industry Leading Certifications such as CKA, GCP Cloud Architecture, CKAD, etc.

Good understanding of Data Engineering Technologies.

Good understanding of Cloud Security Best Practices

Good understanding on FinOps, AIOps, MLOps.

SDE 2 - DevOps

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