Jaya Krishna M

Senior Software Engineer

Bangalore Urban, Karnataka, India8 yrs 10 mos experience

Key Highlights

Architected microservices handling 2M requests per second.
Led large-scale data migrations improving reliability.
Mentored engineers fostering a culture of ownership.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in scalable systems and distributed architectures.

Contact

jm@samsara.com LinkedIn

Skills

Core Skills

Distributed SystemsMicroservicesBackend DevelopmentScalable Systems

Other Skills

AWS Elastic BeanstalkAmazon DynamodbAmazon SQSAmazon Web Services (AWS)Apache KafkaCassandraDjangoElasticSearchElasticsearchEngineeringGitHTMLHigher EducationInformation RetrievalKubernetes

About

I love building simple solutions for complex problems. As a Senior Software Engineer, I operate where performance is critical and scale is massive. I have extensive experience architecting concurrent, event-driven microservices capable of handling upwards of 2M requests per second. My work focuses on distributed systems and database internals, where I have successfully led large-scale data migrations that significantly improved reliability without disrupting live traffic. I am a problem solver who stays ahead of the curve. Whether it is optimizing low-latency infrastructure or integrating AI into engineering workflows, I constantly look for ways to elevate efficiency and innovation. Beyond the architecture, I am a dedicated technical lead. I mentor engineers to think clearly and execute with operational rigor, fostering a culture of ownership where we build systems that are not just fast, but resilient and maintainable.

Experience

8 yrs 10 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 6 mos

Current Experience

Samsara

Senior Software Engineer I

Dec 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India

Allen digital

Senior Software Engineer

May 2023 – Nov 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India

Stockx

Senior Software Engineer

Mar 2021 – May 2023 · 2 yrs 2 mos · Bangalore Urban, Karnataka, India

Node.jsApache KafkaKubernetesDistributed SystemsPostgreSQLTerraform+3

Supr daily by swiggy

Software Engineer II

Jan 2019 – Mar 2021 · 2 yrs 2 mos · Bangalore Urban, Karnataka, India

Conceptualized & built Address Directory service which can tag users at a unique door level with Geo-mapping. The service helped reduce fraud by 30% and improve the success of last-mile deliveries by 10%.
Contributed to designing and implementing a highly scalable Offers service that serves more than 300k requests a day with very minimal latency.
Taken the responsibility to refactor the architecture of Communications service which brought down the delivery failure rates by more than 80%.
Led the Growth backend team which is responsible for the cart, customer loyalty program, service fees, offers, rewards, and many other core services.
Actively organised and participated in various design discussions & reviews to model solutions in an extensible and scalable way.
Brought in good engineering and coding practices to ensure the team is continuously learning.

MicroservicesAmazon SQSAWS Elastic BeanstalkDistributed SystemsPython (Programming Language)Object-Oriented Programming (OOP)+2

Directi

Platform Engineer

Jun 2017 – Dec 2018 · 1 yr 6 mos · Mumbai, Maharashtra, India

Worked on building a highly scalable email marketing platform
Collaborated to design and build a highly scalable Delivery Engine, achieving a scale of million email deliveries a day.
Collaborated to build an Events Service which listens, enriches, and store upto millions of events per day.
Took responsibility for developing and shipping critical parts (Features, Integrations) of the product.

Node.jsMessage QueueRedisLaravelElasticsearchPHP+4

Kitboard

Software Developer Intern

Jun 2016 – Jul 2016 · 1 mo · Toronto, Canada Area

Configured storage models for IoT devices in Cassandra & developed a Python API for the same.
Developed an API for Event Publishing & Consuming using Apache Kafka and Python.
Developed a Historical data API for data generated by the IoT devices.
Developed a Prediction Analytics Service, using PredictionIO, Tornado, MongoDB, Python.
Testing and Documentation of all the Developed packages.

MongoDBCassandraTornadoApache KafkaPython (Programming Language)