Pranay Fating

CTO

Bengaluru, Karnataka, India5 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building cloud-native applications.
Proven track record in microservices architecture.
Certified AWS Solutions Architect and CKAD.

Stackforce AI infers this person is a SaaS and Fintech specialist with expertise in cloud-native application development.

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Skills

Core Skills

MicroservicesCloud InfrastructureMobile Development

Other Skills

TerraformKubernetesCloud ServicesJSON Web Token (JWT)Continuous Integration and Continuous Delivery (CI/CD)AnsibleJenkinsAWS LambdaServerless FrameworkFlutterAndroid DevelopmentMachine LearningPython (Programming Language)C++Android

About

Experienced Engineer with 4+ years of expertise in Java, Spring Boot, and Microservices, focused on building scalable, high-performance, cloud-native applications. Proficient in system design, distributed architectures, and secure authentication/authorization. Skilled in both SQL (PostgreSQL, MySQL) and NoSQL databases, with strong hands-on experience in AWS and cloud security. Well-versed in DevOps technologies such as Kubernetes, Jenkins, and Terraform, with a track record of streamlining CI/CD pipelines in Agile environments. Certified AWS Solutions Architect and Certified Kubernetes Application Developer (CKAD).

Experience

5 yrs 3 mos

Total Experience

2 yrs 7 mos

Average Tenure

4 yrs 8 mos

Current Experience

Kickdrum

4 roles

Technical Lead

Promoted

Jul 2025 – Present · 11 mos · On-site

Senior Software Engineer

Jan 2024 – Jun 2025 · 1 yr 5 mos · On-site

Leading a team of 3 engineers through the migration of automated subscription payments to Stripe, I worked on the intricate process. The client, a leader with 20,000 enterprise customers across 20+ countries, is involved in in-depth project management, handling complexities, and facilitating client interactions, demos, and inquiries.

Software Engineer

Promoted

Jul 2022 – Dec 2023 · 1 yr 5 mos · On-site

Redesigned a monolithic system into a scalable, microservices-based architecture using Kubernetes, cutting SLA times from 4 minutes to 2 seconds.
Implemented security best practices, including multi-tenant authentication, JWE/JWT tokens, and SSL/TLS communication, alongside expertise in monitoring tools like Prometheus, Grafana, Datadog, and AWS X-Ray.
Automated AWS infrastructure with Terraform, Ansible, Jenkins, and CodePipeline, optimizing services like RDS, S3, WAF, and OpsWorks through reverse engineering.

TerraformKubernetesCloud ServicesJSON Web Token (JWT)Continuous Integration and Continuous Delivery (CI/CD)Ansible+2