Kartheekasasanka Kaipa
@karsas
Senior backend engineer building reliable Python/Go microservices, distributed systems, and GenAI-powered RAG integrations for production.
What I'm looking for
I’m a backend engineer with 18 years of overall engineering experience, including 10+ building and operating production backend services. I deliver stable, maintainable, and reliable systems by designing REST APIs, background processing components, and distributed workflows using Python (Flask, FastAPI) and Go.
In my recent role, I designed and developed scalable APIs for a multi-CDN platform integrating 6+ CDN providers, and I helped ensure maintainability by following 12-factor app principles. I also built Golang-based background jobs and scheduling components using Redis Streams and Go workers (with gocron and 3-retry fault tolerance) to reliably propagate configuration across providers.
I’m hands-on with production-grade infrastructure and observability: I use Redis for API response caching and event distribution, MySQL for transactional data management, and InfluxDB for real-time analytics like bandwidth, request counts, error rates, and cache hit/miss metrics. I’ve also migrated an undocumented legacy Java application to Python as a drop-in replacement, achieving zero functional regression while improving maintainability and debugging efficiency.
I focus on engineering excellence through code reviews, mentoring, and participating in backend system design discussions around scalability, reliability, and performance. I’ve supported 24/7 production systems through on-call rotation for 3 years, performing root-cause analysis and coordinating fixes across CDN routing and API layers, and earlier in my career I built private-cloud and automation platform capabilities.
Experience
Work history, roles, and key accomplishments
Backend Engineer - Senior Consultant
Work Devon
Jul 2019 - Present (6 years 11 months)
Designed and developed scalable backend APIs for a multi-CDN platform integrating 6+ CDN providers (4 active in production), using Python (Flask/FastAPI) and 12-factor principles. Built Go background jobs using Redis Streams and gocron with 3-retry fault tolerance, and supported 24/7 production on-call for 3 years.
Designed and built an end-to-end private cloud platform for R&D workloads, delivering backend APIs, frontend interfaces, and Perl-based automation for VM provisioning and lifecycle management. Automated OS/VM deployment across x86/IA systems and Synergy Enclosures, and mentored 4 engineers through code reviews and technical guidance.
Education
Degrees, certifications, and relevant coursework
Scaler
MS, Artificial Intelligence and Machine Learning
In-progress MS in AI-ML at Scaler.
Jawaharlal Nehru Technological University, Hyderabad
Bachelor of Technology
Earned a B.Tech from JNTU Hyderabad.
Availability
Location
Authorized to work in
Job categories
Skills
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