Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Python Engineer with 6+ years in Scalable Microservices & Distributed Systems
Senior Backend Engineer with 7+ years of experience building scalable microservices, distributed systems, and cloud-native applications using Node.js, Golang, Python, AWS, Kafka, PostgreSQL, Redis, Docker, and Kubernetes. Experienced in designing high-throughput APIs, event-driven architectures, backend platforms, and production-grade systems. Strong expertise in backend development, system design, cloud engineering, observability, performance optimization, Infrastructure as Code, and CI/CD automation. Experience Summary: Backend Engineering (7+ Years) • Golang (2+ Years) • Node.js (7 Years) • Python (3 Years) • AWS Cloud Distributed Systems Kafka Kubernetes Core Expertise: Backend Engineering • Distributed Systems • Microservices • Event-Driven Architecture • System Design Kafka AWS Cloud Golang. Node.js
Guru Gobind Singh Indraprastha University
B.Tech · Computer Science Engineering
N/A – June 30, 2019
Robosoft Technologies (Client: Warner Bros. Discovery)
Senior Software Engineer
June 1, 2025 – Present
India
R Systems
Lead Engineer
January 1, 2025 – June 1, 2025
India
DAZN
Senior Software Engineer
October 1, 2023 – January 1, 2025
India
SourceFuse
Software Engineer
July 1, 2022 – August 1, 2023
India
wayForward (Acquired by DarioHealth)
Software Engineer
June 1, 2019 – July 1, 2022
India
Real-Time Data Streaming & Processing System
June 10, 2026 – Present
Designed a real-time data pipeline using Apache Kafka, AWS Lambda, and DynamoDB. Implemented retry strategies, idempotent consumers, and Dead Letter Queues (DLQ). Optimized batch writes improving throughput by 50%. Deployed services on AWS ECS with auto-scaling policies.
High Performance Backend API Platform
June 10, 2026 – Present
Built scalable REST and GraphQL APIs using Node.js, NestJS, and Python-based backend services. Implemented middleware-based authentication, validation, and centralized error handling. Improved API response time by 35% compared to previous implementations. Designed concurrent backend services leveraging goroutines and efficient processing patterns.
Scalable Backend APIs & Microservices Architecture
June 10, 2026 – Present
Architected distributed microservices using Node.js, TypeScript, Python, PostgreSQL, and AWS. Introduced Redis caching reducing API latency by up to 40%. Implemented centralized logging, distributed tracing, metrics, alerting, and observability workflows. Automated deployments using Terraform and CI/CD pipelines.
View ProjectCultural Fit Analysis
The candidate has worked in diverse professional environments, including client-facing roles (Warner Bros. Discovery) and various companies (Robosoft, R Systems, DAZN, SourceFuse, wayForward). Their project diversity, ranging from real-time data streaming to high-performance APIs and microservices, indicates adaptability and a broad skill set. The consistent focus on scalable, distributed systems and cloud-native solutions aligns well with modern engineering practices, suggesting a good cultural fit for a forward-thinking technical team.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams, mentoring junior engineers, and leading production issue resolution, indicating strong team collaboration and leadership potential. Their experience with AI-assisted workflows (GitHub Copilot) suggests an openness to adopting new tools for productivity. The detailed project and experience descriptions demonstrate clear communication and a structured approach to problem-solving.