Staff Software Engineer — Tech Lead, Backend

Reposted One Month Ago
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Beijing, CHN
In-Office
Senior level
Software
The Role
Lead backend architecture and design for a high-scale, real-time data platform. Drive decisions on distributed systems, OLAP and streaming infrastructure (ClickHouse, Kafka, Druid). Integrate LLM pipelines and agentic capabilities, use AI coding tools in daily work, mentor engineers, enforce code quality and CI/CD, and partner with product and cross-regional teams to deliver production-ready systems.
Summary Generated by Built In

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.

We are looking for a Tech Lead who leads through technical excellence, not management authority. You will define backend architecture, elevate the engineering team in Beijing, and drive Conviva's AI-native platform evolution. 

Join us at the frontier of the agent analytics revolution, where we are defining the future of AI-native platforms. We offer a high-impact role where strategy meets technical craft, empowering you to shape our architecture while leveraging an AI-first development culture. This is a rare opportunity to join a team that prioritizes building and moving fast, backed by competitive compensation, equity, and comprehensive benefits.

What Success Looks Like

  • Own architecture for Conviva's high-scale, real-time data platform.
  • Lead design reviews and drive key decisions on distributed systems, OLAP, and streaming infrastructure (ClickHouse, Kafka, Druid).
  • This role operates in an AI-assisted engineering environment. We expect active, fluent use of AI coding and agentic tools as part of normal engineering workflow — not as a productivity bonus, but as a baseline. Use AI coding tools (e.g., Claude Code, Cursor, Copilot) as a standard part of your workflow — for prototyping, code review acceleration, design exploration, and technical documentation. 
  • Integrate AI/agentic capabilities: LLM pipelines, agent observability, intelligent data modeling.
  • Mentor engineers through code reviews, design pairing, and knowledge sharing.
  • Set the technical bar—your code, architecture decisions, and engineering habits are what others build toward.
  • Identify and grow future tech leads; champion code quality, testing, and CI/CD discipline.
  • Partner with Product and cross-regional engineering teams to translate business needs into scalable solutions.
  • Drive end-to-end delivery: design → development → testing → production monitoring.
  • Communicate technical tradeoffs clearly to senior stakeholders in English.

Who You Are

  • BS in Computer Science or equivalent; MS/PhD a plus.
  • 8+ years of software engineering, with 5+ years in data platforms or high-scale backend systems.
  • Hands-on experience with big data platform stacks, including but not limited to Spark, ClickHouse, Druid, and Kafka.
  • Demonstrated understanding and practical experience with AI Agent systems, including LLM pipelines, agent observability, or intelligent data modeling.
  • Leads through technical influence—trusted for solving hard problems, not for holding a title.
  • Track record of mentoring engineers and making them measurably more competitive.
  • Proficient in either of the programming languages: Python, Go, Java, Scala, or Rust.
  • Actively uses AI coding tools (Cursor, Claude Code, GitHub Copilot) in daily engineering work.
  • Thrives in ambiguity; communicates clearly across distributed teams in multiple time zones.
  • Excellent English communication skills, both verbal and written.

Bonus Points

  • Experience with LLM application backends, agentic systems, RAG, or LLM-ops tooling.
  • Familiarity with agent frameworks (LangChain, LangGraph, CrewAI) and production deployment patterns.

Learn more at conviva.ai and follow the company on LinkedIn and YouTube.

Skills Required

  • BS in Computer Science or equivalent
  • 8+ years software engineering experience with 5+ years in data platforms or high-scale backend systems
  • Proficiency in one of: Python, Go, Java, Scala, or Rust
  • Experience with distributed systems, OLAP, and streaming infrastructure (ClickHouse, Kafka, Druid)
  • Active, fluent use of AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) in daily engineering work
  • Track record mentoring engineers and leading through technical influence
  • Excellent English communication skills, verbal and written
  • Ability to work across distributed teams and multiple time zones; comfortable with ambiguity
  • Experience with LLM application backends, agentic systems, RAG, or LLM-ops tooling
  • Familiarity with agent frameworks (LangChain, LangGraph, CrewAI) and production deployment patterns
  • MS/PhD in Computer Science or related field
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The Company
HQ: Foster City, CA
525 Employees
Year Founded: 2006

What We Do

The Conviva Operational Data Platform is the first and only real-time stateful monitoring and analytics platform on the market empowering companies to perform real-time optimization of anything that impacts user experience across applications, networks, platforms, devices, access points, and more – connecting backend infrastructure performance to front-end revenue generation and everything in between. Unlike current observability solutions that limit their focus primarily to infrastructure performance metrics, user-centric operational analytics gives you the capability to get a true real-time lens into everything impacting your users’ experience, enabling you to monitor, manage, and optimize their interactions like never before. More than 250 industry leaders – including CBS, CNN, DAZN, HBO Max, Hulu, Red Bull, RTL, Sky, Sling TV, TED, Turner, and Univision – rely on Conviva to drive time-critical decisions at every level of their organization, reducing customer churn, increasing viewer engagement, driving new monetization models, and growing ROI. In 2006, Conviva’s founders sparked a revolution that defined measurement, analytics, and user experience in streaming entertainment. Today, the company continues to push the industry forward and provide the insights and context companies need to thrive in the digital world.

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