Raja Kunal Pandit

Software Engineer

Delhi, India2 yrs 4 mos experience

Key Highlights

Expert in building automated AWS environments.
Proven track record in disaster recovery solutions.
Strong collaboration with product and backend teams.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with a focus on SaaS and disaster recovery solutions.

Contact

rajakunalpandit1@gmail.com LinkedIn

Skills

Core Skills

Software DevelopmentAwsCloud InfrastructureDisaster Recovery

Other Skills

React.jsFastAPIAmazon Web Services (AWS)DevOpsSystem DesignProblem SolvingSoftware DesignAWS LambdaAmazon ECSAmazon Elastic Container Registry (ECR)DockerAWS CodeBuildAWS CodePipelineAmazon S3Amazon CloudWatch

About

At Ganit, I worked on cloud infrastructure, disaster recovery, and backend systems. In my current role at Ganit Inc, I focus on building and operating reliable, automated AWS environments, with hands-on ownership of multi-region DR setups, backups, monitoring, and performance optimization.I worked with designing and improving systems for database replication, Elasticsearch disaster recovery, S3 cross-region replication, and automated infrastructure provisioning, where I’ve helped significantly reduce recovery and restore times by identifying and fixing cluster-level bottlenecks. I enjoy digging into production issues, understanding failure modes, and turning manual, error-prone processes into automated, repeatable workflows.Alongside infrastructure work, I collaborate closely with product and backend teams, contributing to API development, internal tools, and user-facing features, which helps me bridge the gap between application needs and platform reliability.I’m particularly interested in roles that involve cloud reliability, system design, automation, and scaling production systems, and I enjoy learning by working on real-world problems rather than isolated proofs of concept.

Experience

2 yrs 4 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 1 mo

Current Experience

Ganit inc.

3 roles

Software Engineer

Feb 2026 – Present · 4 mos

Built an internal RAG-based conversational AI system to query historical grid event logbooks using natural language.
Integrated Amazon Bedrock with Retrieval-Augmented Generation (RAG) using Amazon Bedrock Knowledge Bases and vector search (OpenSearch) for grounded, citation-backed responses.
Implemented resilience patterns for Bedrock API calls; exponential backoff with jitter for throttling exceptions ensuring fault-tolerant LLM communication under load and secured the platform with Azure AD / MSAL SSO authentication.

React.jsFastAPISoftware DevelopmentAWS

Product Engineer

May 2025 – Feb 2026 · 9 mos

Designed and operated secure AWS infrastructures and disaster-recovery architectures across multiple projects,covering VPC networking, compute, backups and Azure AD-integrated SSO with MFA.
Implemented multi-region DR solutions including PostgreSQL replication with automatic failover, Aurora Cross-region replicas, Elasticsearch DR via snapshot lifecycle management and S3 CRR, and full S3 cross-region replication for application and platform buckets.
Automated and optimized cloud operations using CloudFormation and service-level tuning, reducing environments provisioning time and improving Elasticsearch snapshot restore time from ~1 hour to ~20 minutes by addressing cluster-level bottlenecks.
Automated and monitored DR workflows using EventBridge, Lambda, SNS, CloudFormation, Step Functions and AWS backup, enabling scheduled secret replication, AMI backups for bastion hosts, and proactive alerting for replication or recovery failures.
Contributed to internal product development, building UI components, API integrations, and notification workflows for a Team Management Application and other products (including an AWS Marketplace-listed solution) along with functional testing and validation.

Amazon Web Services (AWS)DevOpsCloud InfrastructureDisaster Recovery