Senior Software Engineer — Distributed Systems
Company shown to members 🔒 · Remote · India only
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First recorded by Psst: 14 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 4+ years required
- Where you can live
- India only
- Skills and tools
- python, java, retention
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Job details
- Where you can work
- India
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- 4+ years required
- Employer publication date
- 13 October 2026
- First recorded by Psst
- 14 October 2026
- Last checked at the source
- 10 November 2026
About the job
The company is the experience analytics platform for AI agents, apps, and streaming. The company 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, the company shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.
About the role
The company 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.
What Success Will Look Like
- Build Rust-based microservices for high-throughput, low-latency data processing and analytics.
- Design service APIs and communication patterns with effective backpressure and failure handling.
- Develop streaming pipelines for ingestion, sessionization, aggregations, and stateful computations.
- Improve analytical storage and query performance through data modeling, indexing, and execution strategies.
- Investigate bottlenecks across CPU, memory, disk, and network; improve performance and infrastructure efficiency.
- Contribute to design reviews, mentor engineers, and collaborate across global teams.
Who You Are & What You've Done: .
- 4–6 years of software engineering experience, including ownership of production backend.
- Strong programming skills in Rust, Python, Scala, Java, or Go.
- Strong fundamentals in data structures, algorithms, concurrency, networking, and operating systems.
- Experience building distributed systems, streaming platforms, databases, or high-scale microservices.
- Ability to reason about correctness and performance, diagnose failures, and explain design
trade-offs.
Experience that would be valuable
- Production Rust development, including asynchronous programming and concurrency.
- Kafka, Flink, Spark, or similar systems, especially event-time processing, state management, and recovery.
- ClickHouse, Druid, or other analytical databases, including storage layouts and query optimization.
Why this role
Own core infrastructure, influence architectural decisions, and solve distributed systems problems behind real-time analytics at scale. You do not need every technology listed. We value strong systems fundamentals, technical depth, and the ability to learn.
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