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:
We are building a next-generation, high-performance video platform that powers live sports streaming at massive scale. As a Backend Engineer in the Video Engineering team, you will design and build distributed systems that handle real-time ingest, encoding, packaging, storage, and delivery of live video to millions of fans.
You will work across AWS Media Services and Cloud, GCP cloud, and internal video platform components including our custom video stack. This role is ideal for engineers who enjoy solving deep technical challenges in video systems, distributed backend architectures, and real-time data flows.
What you'll do:
- Collaborate with Video Operations, Player, and Platform teams to ensure reliability, observability, and world-class streaming quality.
- Being part of a lean backend team which has streamed over 50,000 hours of live content.
- Building high performance and scalable software platforms for a global product
- Developing and owning product components from inception to production to scaling up, supporting new requirements, re-architectures
- Work with leaders in Product and Engineering to drive and implement platform and product vision
- Continuously discover, evaluate, and implement new technologies to improve development efficiency
Must haves:
- 47 years of backend engineering experience using Java, Go, Node.js, or equivalent.
- Strong understanding of distributed systems, concurrency, memory-efficient programming, and performance optimization.
- Experience building REST APIs, microservices, and containerized services (Docker/Kubernetes).
- Strong SQL and NoSQL database knowledge.
- Solid debugging skills in cloud-native environments (logs, metrics, tracing).
Good to have:
- Experience with AWS Media Services (MediaConnect, MediaLive, MediaConvert, CloudFront).
- Experience with live video encoders or other broadcast encoding systems.
- Knowledge of SRT, RTMP, WebRTC ingest pipelines.
- Experience building high-throughput real-time systems (video, gaming, trading, messaging, etc.).
- Familiarity with packaging workflows, manifest editing, and SSAI-related concepts.
- Exposure to QoE and perceptual quality metrics: VMAF, PSNR, SSIM, NR-VQA.
- Interest in sports broadcasting, low-latency workflows, or automation tooling.
- Passion for sports is a bonus.
Dream Sports , India's leading sports technology company, powers the fan journey for 300 million sports fans across entertainment, content, gaming, travel, AI, and grassroot sports development. Its portfolio includes Dream11 , a sports entertainment platform; FanCode , India's digital sports destination; DreamSetGo , India's premium sports travel and experiences platform; Dream Cricket, an AAA mobile sports game; Dream Horizon , our battle-tested tech, now open-sourced & free for all; Dream Sports AI, reimagining sports with AI, and Dream Money, empowering every Indian to grow their net-worth. The company is also home to the Dream Sports Foundation , its philanthropic arm.
Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports is headquartered in Mumbai.
Checked out Dream Locker Room yet Head over to our official blog to get a glimpse into our culture, and how we Make Sports Better, together.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
