Senior Backend Engineer

Suresh Chandra Sekar

Senior Backend Engineer with 7+ years of experience designing and owning Python API platforms, cloud integrations, and event-driven systems for enterprise-scale products.

7+ years100+ API featuresAWS + Azure + GCP1,000+ cloud accounts

Open to senior backend, platform, and cloud engineering roles focused on API ownership, cloud platform work, and production reliability · Chennai, India

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View Experience·GitHub

Who I am

About Me

Suresh Chandra Sekar

I'm a Senior Backend Engineer with 7+ years of experience building Python APIs, cloud integrations, and event-driven backend systems. My work centers on turning complex product and platform problems into reliable, maintainable systems that perform well at enterprise scale.

NameSuresh Chandra Sekar
LocationChennai, India
Experience7+ Years
FocusBackend APIs, cloud platforms, and reliability engineering
EducationB.E. Computer Science (Anna University)
AvailabilityOpen to Relocation & Remote

What I work with

Key Skills

Languages & Frameworks

Python (Advanced)FlaskFastAPIpytestPydanticMSALPandasGo (Basic)Rust (Basic)

Backend Engineering

REST API DesignEvent-Driven SystemsPerformance ProfilingMemory OptimisationBackground Job ProcessingIn-memory Caching

Cloud SDKs

AWS (Boto3)Azure REST APIGCP (google-api-python-client)OCI

API & Messaging

Swagger / OpenAPIgRPCRabbitMQAWS SQSJWTRBAC

Infrastructure & Databases

MongoDBDockerTerraform (Intermediate)ARM TemplatesCloudFormationLinux

DevOps, Testing & Tools

GitJenkinsServiceNow CMDBZabbixDocker SDK

My journey

Work Experience

Apr 2024 – PresentCurrent

Senior Backend Engineer

Enterprise cloud platform product work · Chennai, India

Led backend platform work across FinOps, pricing intelligence, performance optimization, and API delivery for large-scale multi-cloud products.

  • Delivered 100+ REST API features for cloud governance products used across 1,000+ cloud accounts.
  • Designed and built FinOps ingestion pipelines across 15+ SaaS providers, expanding billing intelligence coverage for enterprise clients.
  • Optimized cost-processing performance and memory efficiency, resolving production incidents tied to large-scale SaaS spend.
  • Led a budgeting engine redesign with better alerting, multi-dimensional policies, and stronger spend forecasting.
  • Architected a real-time pricing engine for multi-cloud provisioning workflows and pre-deployment cost visibility.
  • Mentored 2 junior engineers through code reviews, pairing, and backend/API design guidance.
Mar 2019 – Apr 2024

Backend Engineer

Multi-cloud platform systems work · Chennai, India

Built foundational backend systems for cloud discovery, automation, observability, and asynchronous job processing across multi-cloud integrations.

  • Migrated daemon- and thread-based services into a centralized background job framework secured with JWT authentication.
  • Introduced Pydantic models and stronger typing across owned modules to improve reliability and development consistency.
  • Built utilization metrics support for 30+ cloud services through an event-driven discovery pipeline using AWS SQS.
  • Expanded observability with CloudWatch alarm templates, Zabbix, and custom CWAgent metrics for EC2 instances.
  • Integrated AWS SSM, ARM, CloudFormation, ServiceNow CMDB, and RabbitMQ for secure automation and ITSM workflows.
  • Developed cloud provisioning workflows and Mistral templates, deepening multi-cloud IaC capabilities across the platform.

Things I've built

Notable Projects

PythonFastAPIREST APIs

Case Study 01: Real-Time Multi-Cloud Pricing API

A platform backend case study showing how I design APIs that help teams estimate infrastructure cost before provisioning.

  • Problem: Enterprise teams needed real-time multi-cloud cost visibility before provisioning.
  • Solution: Built a real-time cost estimation API spanning AWS, Azure, GCP, and OCI with normalized pricing data across 50+ SKU categories.
  • Performance: Optimized the FastAPI endpoint to <200ms p99 latency using Redis caching and async processing.
  • Outcome: Reduced deployment cost uncertainty by 40% for enterprise provisioning workflows.
  • Validation: Achieved 99.8% pricing accuracy across environments managing 1,000+ cloud accounts.
PythonFlaskMongoDBETL

Case Study 02: Multi-Provider Billing Intelligence Pipeline

A backend data systems case study showing how I built resilient ingestion, reconciliation, and billing intelligence workflows.

  • Problem: Billing data across SaaS providers was fragmented, noisy, and slow to reconcile.
  • Solution: Built 15+ custom parsers across CSV, JSON, and Parquet formats for multi-provider billing ingestion.
  • Data quality: Reduced duplicate invoice records from 8,500+ monthly to <50 through idempotent MongoDB pipeline design.
  • Performance: Cut billing reconciliation time from 4 hours to 45 minutes through batching and async processing.
  • Outcome: Maintained 100% uptime for production ingestion serving 1,000+ cloud-account environments.

Thoughts & Writings

Latest Articles

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Academic background & growth

Education & Certifications

Bachelor of Engineering — Computer Science & Engineering

T.J.S. Engineering College, Tamil Nadu (Anna University)

2014 – 2018

Selected Learning

Master Modern Software Architecture: Microservices & Event-Driven Architecture

Udemy · Feb 2025

Pragmatic System Design

Udemy · Feb 2025

Python Unit Testing Fundamentals (unittest & pytest)

Udemy · Feb 2025

Open to backend roles

Contact

Available for new opportunities — response within 24h via LinkedIn

Call

Available on request via LinkedIn

Email

Shared on request through LinkedIn

LinkedIn

linkedin.com/in/sureshchandrasekar

GitHub

github.com/sureshchandrasekar

Blog

medium.com/@sureshchandrasekar

Location

Chennai, India · Open to Remote

Resume

Download resume