{"id":3864730,"url":"https://alion.io/job/fox-corporation-senior-software-development-engineer-backend-pnr-","title":"Senior Software Development Engineer, Backend ( PNR )","company":{"id":17022,"name":"Fox Corporation","domain":"foxcorporation.com","url":"https://alion.io/company/foxcorporation","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":23,"ghost_share":0,"stale_share":0.478,"repost_share":0.13,"time_to_fill_p50_days":45,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"Go","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Redis","optional":false},{"name":"Reranking","optional":false},{"name":"A/B Testing","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Datadog","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Grafana","optional":true},{"name":"Istio","optional":true},{"name":"KServe","optional":true},{"name":"Kubernetes","optional":true},{"name":"Milvus","optional":true},{"name":"OpenSearch","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Pinecone","optional":true},{"name":"Prometheus","optional":true},{"name":"Service Mesh","optional":true},{"name":"Terraform","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-11-04T00:00:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-12T21:52:56Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"OVERVIEW OF THE COMPANY\nFox CorporationUnder the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.JOB DESCRIPTION\nSenior Software Development Engineer - Backend (PNR API Platform)\nOVERVIEW OF THE COMPANY\nFox Corporation is home to industry-leading brands including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, Tubi Media Group, and FOX One, our recently launched direct-to-consumer (DTC) platform. Across our portfolio, we build and operate large-scale digital platforms that serve millions of users globally. Our teams combine innovative technology, deep data insights, and world-class content to deliver highly personalized, reliable, and scalable consumer experiences across web, mobile, and connected TV platforms.\nABOUT THE ROLE\nAs a Senior Software Development Engineer on the Personalization & Recommendations (PNR) API Platform team, you will build and operate the backend systems that power personalized content discovery and recommendation experiences across FOX's digital products. The PNR API platform serves real-time personalized recommendations at scale, combining user behavioral signals, content metadata, vector similarity search, and ML model inference to deliver individualized experiences to millions of users.\nYou will work at the intersection of backend engineering and ML infrastructure - building recommendation engines, reranking services, user profile systems, and model serving pipelines. This role requires engineers who take end-to-end ownership - from understanding the problem and designing systems to implementing, deploying, and operating them in production.\nA SNAPSHOT OF YOUR RESPONSIBILITIES\nDesign, build, and operate high-throughput, low-latency backend microservices for real-time personalization and content recommendations\nTake complete ownership of assigned problem areas, from system design to production rollout and ongoing operations\nBuild and evolve distributed systems that are resilient, fault-tolerant, and observable in production\nWork with multiple data stores including relational databases, vector databases, search engines, key-value stores, and caching systems to build efficient data access patterns\nIntegrate ML models into real-time serving pipelines, working closely with ML Engineers and Data Scientists\nPerform high-level and low-level system design, clearly articulating trade-offs and architectural decisions\nOptimize systems for performance, latency, scalability, and cost at scale\nCollaborate with Product, Data Science, Machine Learning, Analytics, and Platform Engineering teams to deliver recommendation capabilities across Web, Mobile, and Connected TV\nParticipate in on-call rotation and drive production reliability and operational excellence\nContribute to engineering best practices around architecture, testing, CI/CD, observability, and security\nWHAT YOU WILL NEED\nBachelor's or Master's degree in Computer Science or a related technical field\n5+ years of experience building backend software systems in production environments\nStrong programming skills in one or more backend languages, preferably Golang\nExperience designing and building distributed systems with a focus on scalability, availability, and reliability\nHands-on experience with relational databases (PostgreSQL/Aurora) including query optimization and data modeling\nExperience with caching system s (Redis/ElastiCache) and cache invalidation strategies\nExperience working with NoSQL databases (DynamoDB) and understanding of access patterns and cost trade-offs\nHands-on experience with cloud-based systems on AWS\nSolid understanding of data structures, algorithms, and their application in backend and distributed systems\nAbility to work independently, take ownership, and deliver systems end-to-end with minimal guidance\nNICE TO HAVE\nExperience with vector databases (Milvus, Zilliz, Pinecone) and similarity search systems\nExperience with search engines (OpenSearch/Elasticsearch)\nExperience with ML model serving and real-time inference systems (Triton, KServe, SageMaker)\nExperience building recommendation engines, personalization platforms, or content ranking services\nExperience with event-driven architectures (SNS/SQS, Kafka)\nKubernetes and container orchestration (EKS, pod tuning, HPA)\nInfrastructure as Code (Terraform)\nObservability stack (OpenTelemetry, Prometheus, Grafana, Datadog)\nService mesh experience (Istio)\nExperience with experimentation / A/B testing platforms\nExperience with streaming platforms, digital media, or consumer-facing applications\nWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. 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