Senior Software Engineer — Distributed Systems

Conviva

Bengaluru, India

On-site

Who this role is best for

Geared toward engineers comfortable with building high-throughput microservices and optimizing analytical storage, with a focus on distributed systems and global collaboration in Bengaluru, India.

Best fit for

Candidates with 4–6 years of backend ownership and experience in distributed systems and streaming platforms
— “4–6 years of software engineering experience, including ownership of production backend”
Individuals with strong systems fundamentals and a track record of solving infrastructure challenges
— “Strong fundamentals in data structures, algorithms, concurrency, networking, and operating systems”

Things to consider

The role demands ownership of components from design to production, requiring full lifecycle accountability
— “You will own components from design through production”
The company emphasizes systems fundamentals over specific technologies, requiring adaptability and depth
— “You do not need every technology listed. We value strong systems fundamentals, technical depth, and the ability to learn”

How to stand out

Highlight your experience with stateful stream processing and distributed systems in your resume and interviews
— “Develop streaming pipelines for ingestion, sessionization, aggregations, and stateful computations”
Demonstrate your ability to reason about performance trade-offs and infrastructure bottlenecks
— “Investigate bottlenecks across CPU, memory, disk, and network; improve performance and infrastructure efficiency”
Showcase your work with analytical databases and query optimization strategies in your portfolio or projects
— “ClickHouse, Druid, or other analytical databases, including storage layouts and query optimization”
Emphasize your background in designing service APIs with backpressure and failure handling
— “Design service APIs and communication patterns with effective backpressure and failure handling”
Demonstrate your ability to contribute to design reviews and mentor engineering teams
— “Contribute to design reviews, mentor engineers, and collaborate across global teams”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

build rust-based microservices
design service APIs
develop streaming pipelines
improve analytical storage and query performance
investigate bottlenecks and improve infrastructure efficiency

Typical background

4-6 years of software engineering experienceownership of production backendstrong programming skills in rust, python, scala, java, or go

Skills & requirements

Required

Distributed SystemsMicroservicesStateful Stream ProcessingAnalytical DatabasesRustPythonScalaJavaGoData StructuresAlgorithmsConcurrencyNetworkingOperating SystemsHigh-scale MicroservicesStreaming PlatformsDatabasesPerformance TuningDiagnosing FailuresDesign Trade-offs

Preferred

KafkaFlinkSparkClickhouseDruidEvent-time ProcessingState ManagementRecoveryStorage LayoutsQuery Optimization

Stack & domain

RustPythonScalaJavaGoKafkaFlinkSparkClickhouseDruidLeadershipCommunicationProblem-solvingTeamworkDistributed SystemsStream ProcessingAnalytical DatabasesAI

About the role

Original posting from Conviva

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.
About the role:
Conviva 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.
Learn more at conviva.ai and follow the company on LinkedIn and YouTube.

Source: Conviva careers