{"id":2453828,"url":"https://alion.io/job/conviva-senior-software-engineer-distributed-systems","title":"Senior Software Engineer — Distributed Systems","company":{"id":673976,"name":"Conviva","domain":"conviva.ai","url":"https://alion.io/company/conviva","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"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":{"min_usd":23000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":133},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-13T13:23:32Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T12:03:03Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.\nAbout the role:\nConviva helps businesses understand and improve experiences across video, digital applications, and AI agents. Our engineering teams build distributed systems that turn streaming data into real-time insights. You will design and build high-scale distributed systems, with a focus on Microservices (Rust,Python, Scala), Stateful Stream Processing, Analytical Databases and analytics AI Agents. You will own components from design through production, solving challenges in high throughput ingestion, event processing, distributed state management, storage, and query performance. The role requires understanding system internals, making sound engineering trade-offs, and building services that remain reliable under load and failures.\nWhat Success Will Look Like: \nBuild Rust-based microservices for high-throughput, low-latency data processing and analytics.\nDesign service APIs and communication patterns with effective backpressure and failure handling.\nDevelop streaming pipelines for ingestion, sessionization, aggregations, and stateful computations.\nImprove analytical storage and query performance through data modeling, indexing, and execution strategies.\nInvestigate bottlenecks across CPU, memory, disk, and network; improve performance and infrastructure efficiency.\nContribute to design reviews, mentor engineers, and collaborate across global teams.\nWho You Are & What You've Done: .\n4-6 years of software engineering experience, including ownership of production backend.\nStrong programming skills in Rust, Python, Scala, Java, or Go.\nStrong fundamentals in data structures, algorithms, concurrency, networking, and operating systems.\nExperience building distributed systems, streaming platforms, databases, or high-scale microservices.\nAbility to reason about correctness and performance, diagnose failures, and explain designtrade-offs.\n\nExperience that would be valuable:\nProduction Rust development, including asynchronous programming and concurrency.\nKafka, Flink, Spark, or similar systems, especially event-time processing, state management, and recovery.\nClickHouse, Druid, or other analytical databases, including storage layouts and query optimization.\nWhy this role\nOwn core infrastructure, influence architectural decisions, and solve distributed systems problems behind real-time analytics at scale. You do not need every technology listed. 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