Govind Bhone

Software Engineer

Pune, Maharashtra, India13 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

14 years of experience in high-performance trading systems.
Expert in building scalable, reactive applications.
Strong mentor and leader in engineering teams.

Stackforce AI infers this person is a Fintech expert specializing in scalable, high-performance distributed systems.

Contact

bhonegovind@gmail.com LinkedIn

Skills

Core Skills

Distributed SystemsData InfrastructureData StreamingBig Data AnalyticsNetwork Performance Monitoring

Other Skills

AJAXAWS Elastic BeanstalkAWS LambdaAdvanced JavaAgile MethodologiesAkkaAkka FrameworkAmazon DynamodbAmazon Elastic MapReduce (EMR)Amazon SQSAmazon Simple Notification Service (SNS)Amazon Web Services (AWS)Apache KafkaApache ParquetApache Spark

About

I’m a seasoned software engineer with over 14 years of experience building high-performance trading and real-time systems in fast-paced, mission-critical environments. I specialize in developing scalable, reactive applications using Scala, Java, Kafka, Cassandra, and Python. I have a strong track record of writing resilient, maintainable code and solving time-sensitive production issues—especially where performance and uptime are non-negotiable. I'm passionate about designing distributed systems and delivering cloud-native SaaS solutions that scale reliably and efficiently. In addition to hands-on development, I mentor and lead engineering teams—guiding design decisions, reviewing code for quality and consistency, and helping team members grow technically and professionally. I believe in fostering a collaborative, growth-oriented engineering culture. Recently, I’ve been working with AWS services like EMR and Spark to support large-scale analytics and real-time streaming pipelines. I'm excited by the challenge of building future-ready systems that blend strong engineering fundamentals with modern cloud and data technologies. My objective is to contribute to innovative projects that value scalability, reliability, and clean system design.

Experience

13 yrs 5 mos

Total Experience

4 yrs 5 mos

Average Tenure

8 yrs 7 mos

Current Experience

Trading technologies

3 roles

Principal Software Engineer

Promoted

Mar 2024 – Present · 2 yrs 3 mos

Trading Technologies provides professional-grade trading software, infrastructure, and data solutions to a broad range of clients—including proprietary traders, brokers, money managers, CTAs, hedge funds, commercial hedgers, and risk managers. Its flagship TT® trading platform offers access to major global exchanges and liquidity venues, along with domain-specific tools for cryptocurrency trading and real-time trade surveillance powered by machine learning.
I’m part of the Data and Infrastructure Services (DaIS) team, which is responsible for maintaining and enhancing the company’s core data infrastructure. Our stack includes Cassandra, LBM messaging, Zookeeper, and Elasticsearch, supporting both transactional systems (such as ledger and bookie) and market data systems (such as PDS and HDS). The platform processes 160+ million messages daily, requiring us to ensure zero downtime, high availability, and data consistency across all pipelines. My role involves building, optimizing, and supporting scalable data services that are critical to Trading Technologies' global trading operations.

CassandraLBM messagingZookeeperElasticsearchDistributed SystemsData Infrastructure

Senior Software Engineer

Jan 2021 – Mar 2024 · 3 yrs 2 mos

Software Engineer

Nov 2017 – Jan 2021 · 3 yrs 2 mos

Implemented a publish-subscribe (pub/sub) mechanism using Kafka to enable communication between various cloud-based microservices, facilitating real-time data querying, ledgering, and alerting for users. Developed several key components from the ground up, significantly enhancing business value through improved system responsiveness and scalability.

KafkaMicroservicesReal-time data queryingData Streaming

Datametica solutions private limited

Senior Software Engineer

Apr 2016 – Nov 2017 · 1 yr 7 mos · Pune

I contributed to the development of Kohl’s eCommerce Recommendation Engine—a big data analytics platform leveraging machine learning and statistical algorithms to analyze transaction and clickstream data. This system delivers personalised product recommendations to online shoppers, driving increased sales and enhancing customer engagement. My responsibilities included business requirement gathering, software development using Scalding (Scala-based MapReduce framework) and Hadoop technologies, data modeling, software design, and testing, with a focus on building tailored recommendation capabilities based on individual user behavior.

ScaldingHadoopMachine LearningBig Data Analytics

Persistent systems

2 roles

Senior Software Engineer

Promoted

Sep 2014 – Apr 2016 · 1 yr 7 mos · Pune

I contributed to building a reactive, distributed application from scratch using Scala, Akka, and Kafka. This system facilitates real-time network monitoring by ingesting and processing traffic data across protocols like UDP, TCP, and SCTP. It offers both batch and real-time aggregation capabilities, enabling dynamic, on-demand field selection for flexible and efficient data analysis. By leveraging Akka’s concurrency framework and Kafka’s robust streaming platform, the solution efficiently handles large-scale telemetry data with high throughput and minimal latency.

ScalaAkkaKafkaDistributed Systems

Software Engineer

Jan 2013 – Sep 2014 · 1 yr 8 mos · Pune

I have hands-on experience working with C++, TCL, Smalltalk, and Java to enhance and extend the functionality of IBM Tivoli Netcool Performance Manager (TNPM)—a complex network performance monitoring solution. My responsibilities included adding new features, optimising existing modules, and ensuring integration across multiple components. I also played a key role in supporting the migration to DB2, contributing to both application-level changes and performance tuning during the transition.

C++TCLJavaNetwork Performance Monitoring