Scala expert

Software Engineer, Low-Latency Systems

• Employment Type: Full-time
• Experience Level: senior-level (7–10 years)

About the Role

We are hiring a Software Engineer, Low-Latency Systems to design and optimize the core infrastructure powering our algorithmic trading systems. In this role, you will work on latency-critical execution paths where nanoseconds, cache lines, memory layout, and network behavior matter.

This is a hands-on engineering position for someone who enjoys building high-performance systems and reasoning deeply about correctness, throughput, and tail latency. Prior trading domain experience is helpful but not required—we value engineering depth and systems thinking above all else.

What You’ll Do (Responsibilities)

• Build Core Infrastructure: Design, develop, and maintain low-latency components including order routing, market data handling, and execution pipelines.
• Optimize Performance: Profile and optimize critical code paths to minimize throughput and tail latency.
• Collaborate Across Teams: Work closely with quant and trading teams to translate complex strategy requirements into highly efficient infrastructure primitives.
• Drive System Design: Contribute to architectural decisions around threading models, memory layout, and network stack configurations.
• Ensure Reliability: Improve observability and operational performance across trading infrastructure. Participate in on-call rotations, incident response, and post-mortems to keep systems running smoothly.

What We’re Looking For (Requirements)

• Experience: 7 to 10 years of professional experience in systems engineering, with a demonstrable focus on low-latency systems or high-performance computing (HPC).
• Language Proficiency: Strong, production-level proficiency in Rust and/or C++.
• Systems Depth: Comfort reasoning about memory management, lock-free data structures, compiler behavior, and CPU-level performance.
• Tooling: Experience using Linux performance tooling such as perf, flamegraphs, strace, or similar tools.
• Networking Fundamentals: Solid understanding of network stack behavior, including TCP, UDP, multicast, and kernel bypass.
• Problem Solving: Ability to debug complex production issues and optimize systems under real-world constraints.

Nice to Have (Bonus Points)

• Prior exposure to trading systems, market data feeds, or exchange connectivity.
• Familiarity with financial market protocols (e.g., FIX, ITCH, OUCH).
• Experience with low-latency networking technologies like DPDK, RDMA, or kernel bypass.
• Familiarity with co-location environments and latency-sensitive infrastructure.

Culture & Fit

We are looking for an engineer who takes ownership, thrives in ambiguous and fast-moving environments, and holds an incredibly high bar for correctness and performance. If you love drilling down into the lowest levels of software to squeeze out maximum efficiency, we want to hear from you.

Have you streamed a program on Disney+, watched your favorite binge-worthy series on Peacock or cheered your favorite team on during the World Cup from one of the 20 top streaming platforms around the globe? If the answer is yes, you’ve already benefitted from Conviva technology, helping the world’s leading streaming publishers deliver exceptional streaming experiences and grow their businesses. 

Conviva is the only global streaming analytics platform for big data that collects, standardizes, and puts trillions of cross-screen, streaming data points in context, in real time. The Conviva platform provides comprehensive, continuous, census-level measurement through real-time, server side sessionization at unprecedented scale. If this sounds important, it is! We measure a global footprint of more than 500 million unique viewers in 180 countries watching 220 billion streams per year across 3 billion applications streaming on devices. With Conviva, customers get a unique level of actionability and scale from continuous streaming measurement insights and benchmarking across every stream, every screen, every second.

As Conviva is expanding, we are building products providing deep insights into end user experience for our customers.

Platform and TLB Team

The vision for the TLB team is to build data processing software that works on terabytes of streaming data in real time. Engineer the next-gen Spark-like system for in-memory computation of large time-series dataset’s – both Spark-like backend infra and library based programming model. Build horizontally and vertically scalable system that analyses trillions of events per day within sub second latencies. Utilize the latest and greatest of big data technologies to build solutions for use-cases across multiple verticals. Lead technology innovation and advancement that will have big business impact for years to come. Be part of a worldwide team building software using the latest technologies and the best of software development tools and processes.

What You’ll Do

This is an individual contributor position. Expectations will be on the below lines:

• Design, build and maintain the stream processing, and time-series analysis system which is at the heart of Conviva's products
• Responsible for the architecture of the Conviva platform
• Build features, enhancements, new services, and bug fixing in Scala and Java on a Jenkins-based pipeline to be deployed as Docker containers on Kubernetes
• Own the entire lifecycle of your microservice including early specs, design, technology choice, development, unit-testing, integration-testing, documentation, deployment, troubleshooting, enhancements etc.
• Lead a team to develop a feature or parts of the product
• Adhere to the Agile model of software development to plan, estimate, and ship per business priority

What you need to succeed

• 9+ years of work experience in software development of data processing products.
• Engineering degree in software or equivalent from a premier institute.
• Excellent knowledge of fundamentals of Computer Science like algorithms and data structures. Hands-on with functional programming and know-how of its concepts
• Excellent programming and debugging skills on the JVM. Proficient in writing code in Scala/Java/Rust/Haskell/Erlang that is reliable, maintainable, secure, and performant
• Experience with big data technologies like Spark, Flink, Kafka, Druid, HDFS, etc.
• Deep understanding of distributed systems concepts and scalability challenges including multi-threading, concurrency, sharding, partitioning, etc.
• Experience/knowledge of Akka/Lagom framework and/or stream processing technologies like RxJava or Project Reactor will be a big plus. Knowledge of design patterns like event-streaming, CQRS and DDD to build large microservice architectures will be a big plus
• Excellent communication skills. Willingness to work under pressure. Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their businesses ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision, and Warner Bros Discovery.  

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! 

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation

• As a polyglot developer Ideally, you should have:
• 1.5+ years of development experience using any of technology java, scala, python or any similar exciting technologies.
• Hands-on experience in coding, and implementation of complex, custom-built applications Working knowledge of build tool like maven/sbt and code versioning systems like git/bitbucket/cvs/svn
• Familiarity with few databases, like MySQL, Oracle, PostgreSQL, SQL Server, NoSQL etc Great OO skills, including strong design patterns knowledge
• Good communication and ability to work in a consulting environment is essential

• Think through hard problems in a consultancy environment, and work with amazing people to make the solutions a reality Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience
• Build custom software using the latest technologies and tools Craft your own career path

• Providing solution to real problems in Bigdata world.
• RnD on using the latest tools,techniques and cloud services.
• Automating the manual-timetaking tasks.
• Hands-on coding, usually in a pair programming environment.
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments
• Understanding the business domain deeply