Chinmay Kannao

Senior Software Engineer

London, England, United Kingdom7 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

7 years of backend engineering experience.
Expert in building scalable distributed systems.
Proven leadership in mentoring engineers.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and IoT solutions.

Contact

Skills

Core Skills

KubernetesBackend EngineeringApi DevelopmentIot Development

Other Skills

API integrationAmazon S3Amazon SQSAnsibleCachingCassandraConsulContinuous Integration and Continuous Delivery (CI/CD)Data migrationDocker SwarmElasticsearchGDPR complianceGitGrafanaHBase

About

An enthusiastic software engineer with leadership qualities and 7 years of backend engineering experience in building highly scalable distributed systems.

Experience

Reliaquest

2 roles

Senior Software Engineer

Aug 2024 – Present · 1 yr 7 mos · On-site

➔ Mentored junior/mid level engineers in their work, setup onboarding process
➔ Designed customer deletion pipeline to erase data across services seamlessly for GDPR compliance
➔ Worked on migration of acquired company’s functionalities to core platform
➔ Revamped runner service to use Kubernetes pod pooling which saved 20 million seconds of wait time per year
➔ Implemented multiple lightweight connector modules for security solutions which dynamically run as actions from a runner service on demand

KubernetesGDPR complianceMentoringData migrationBackend Engineering

Senior Software Engineer

Feb 2022 – Aug 2024 · 2 yrs 6 mos · On-site

Cars24

SDE-2

Nov 2021 – Jan 2022 · 2 mos · Pune, Maharashtra, India · Remote

➔ Authored API integration with Credit score services required for ML services. Used caching and OAuth for authentication
➔ Worked with external finance services teams and implemented their loan offer APIs in platform for car purchase flow

API integrationCachingOAuthAPI Development

Qualys

2 roles

Senior Software Engineer

Promoted

Jul 2021 – Oct 2021 · 3 mos

➔ Implemented feature of Update, Rollback, and Reboot IoT devices which reduced 70% man-hours of maintaining the devices manually.
➔ Authored Gateway and Event service which consumed events from network devices as required, and published to other services using Kafka. Enabled more features, i.e pinpointing the location of the device in the network.
➔ Authored Management service, implemented features for registration, deregistration, tech support e.t.c on IoT devices, critical for customer onboarding
➔ Updated architecture by introducing a caching layer of Redis, which in turn increased the whole throughput of the system by 40%
➔ Responsible for timeline service, which shows an aggregation of data in a single UI, by processing thousands of events
➔ Migrated services to Kubernetes cluster also used helm, ansible for deployment pipeline

KafkaRedisKubernetesIoTBackend EngineeringIoT Development