Senior Software Development Engineer, Backend ( PNR )

Overview

Senior Software Development Engineer on the Personalization & Recommendations (PNR) API Platform team, building and operating backend systems that power personalized content discovery and recommendations across FOX's digital products.

What you'll do

• Design, build, and operate high-throughput, low-latency backend microservices for real-time personalization and content recommendations
• Take complete ownership of assigned problem areas, from system design to production rollout and ongoing operations
• Build and evolve distributed systems that are resilient, fault-tolerant, and observable in production
• Work with multiple data stores including relational databases, vector databases, search engines, key-value stores, and caching systems to build efficient data access patterns
• Integrate ML models into real-time serving pipelines, working closely with ML Engineers and Data Scientists
• Perform high-level and low-level system design, clearly articulating trade-offs and architectural decisions
• Optimize systems for performance, latency, scalability, and cost at scale
• Collaborate with Product, Data Science, Machine Learning, Analytics, and Platform Engineering teams to deliver recommendation capabilities across Web, Mobile, and Connected TV
• Participate in on-call rotation and drive production reliability and operational excellence
• Contribute to engineering best practices around architecture, testing, CI/CD, observability, and security

What you'll need

• Bachelor's or Master's degree in Computer Science or a related technical field
• 5+ years of experience building backend software systems in production environments
• Strong programming skills in one or more backend languages, preferably Golang
• Experience designing and building distributed systems with a focus on scalability, availability, and reliability
• Hands-on experience with relational databases (PostgreSQL/Aurora) including query optimization and data modeling
• Experience with caching systems (Redis/ElastiCache) and cache invalidation strategies
• Experience working with NoSQL databases (DynamoDB) and understanding of access patterns and cost trade-offs
• Hands-on experience with cloud-based systems on AWS
• Solid understanding of data structures, algorithms, and their application in backend and distributed systems
• Ability to work independently, take ownership, and deliver systems end-to-end with minimal guidance

Nice to have

• Experience with vector databases (Milvus, Zilliz, Pinecone) and similarity search systems
• Experience with search engines (OpenSearch/Elasticsearch)
• Experience with ML model serving and real-time inference systems (Triton, KServe, SageMaker)
• Experience building recommendation engines, personalization platforms, or content ranking services
• Experience with event-driven architectures (SNS/SQS, Kafka)
• Kubernetes and container orchestration (EKS, pod tuning, HPA)
• Infrastructure as Code (Terraform)
• Observability stack (OpenTelemetry, Prometheus, Grafana, Datadog)
• Service mesh experience (Istio)
• Experience with experimentation / A/B testing platforms
• Experience with streaming platforms, digital media, or consumer-facing applications

Details

• Location: Bengaluru, Karnataka, India
• Participation in an on-call rotation