What you’ll do:
- Architect for Hyper-Scale: Own the reliability and scalability of the platform. Architect systems capable of handling massive traffic spikes during live matches with zero downtime.
- Advanced Orchestration & Automation: Go deep into Kubernetes internals. Design custom controllers, operators, or CRDs to automate complex stateful workloads on GKE.
- Drive "Platform as a Product": Lead the design and implementation of an Internal Developer Platform (IDP). Move beyond simple CI/CD scripts to building self-service capabilities that allow product teams to provision resources autonomously and securely.
- Cost Architecture (FinOps): Take ownership of the cloud budget. Proactively identify cost-optimization opportunities (Spot instances, Autoscaling efficiencies, Reserved capacity) without compromising performance.
- Security & Compliance: Implement policy-as-code (OPA/Kyverno) and automated compliance scanning within the delivery lifecycle.
- Mentoring: Supporting junior engineers regarding development, concepts, and best practices.
Must haves:
- 6+ years of experience as a DevOps or Platform Engineer.
- Deep expertise in GCP with a track record of designing multi-region, highly-available and distributed architectures.
- Experience with Infrastructure Automation Tools (e.g., Terraform, Ansible)
- Strong proficiency in scripting languages such as Python or Bash
- Deep understanding of Kubernetes Internals, Networking and Service Meshes
- Experience with DevSecOps and Cloud Security & AppSec tools.
- Experience with GenAI, LLMs, Agentic AI Workflows in context of Platform Engineering
Good to have:
- Video Engineering context: Understanding of CDN, HLS, DASH, and video delivery workflows.
- Internal Developer Platform (IDP) tools: Experience with tools like Backstage, Crossplane, or similar tools.
- Experience implementing SRE practices (SLOs/SLIs, Post-mortems, Chaos Engineering).
- Experience with coding in either Java or Golang.
- Experience working on Multi Cloud Setup (AWS/Azure).
- Industry Leading Certifications such as CKA, GCP Cloud Architecture, CKAD, etc.
- Good understanding of Data Engineering Technologies.
- Good understanding on FinOps, AIOps, MLOps.
Skills Required
- 6+ years of experience as a DevOps or Platform Engineer
- Deep expertise in GCP with a track record of designing multi-region, highly-available and distributed architectures
- Experience with Infrastructure Automation Tools (e.g., Terraform, Ansible)
- Strong proficiency in scripting languages such as Python or Bash
- Deep understanding of Kubernetes Internals, Networking and Service Meshes
- Experience with DevSecOps and Cloud Security & AppSec tools
- Experience with GenAI, LLMs, Agentic AI Workflows in context of Platform Engineering
What We Do
Dream Sports is India’s leading sports technology company with 220M+ users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform, DreamSetGo, a sports experiences platform and DreamPay, a payment solutions provider. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ mission is to ‘Make Sports Better’ for fans through the confluence of sports and technology. Since 2018, Dream Sports has been consistently featured as the only sports tech company in the ‘Great Places to Work’ survey.








