Available to hire
Hi, I’m Praneeth CH, a Software Development Engineer with 5+ years of experience building resilient distributed backend systems. I specialize in Python, Terraform, Docker, and Kubernetes, delivering scalable APIs and reliable platforms across e-commerce, investment banking, and pharmaceutical domains.
I’m passionate about cloud-native architectures, production reliability, incident management, and AI-driven observability. I thrive in fast-paced Agile teams, delivering end-to-end features, driving cloud deployments, and automating CI/CD pipelines to improve security and performance.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Software Development Engineer at Amazon
May 1, 2025 - PresentBuilt Python-based Lambda functions and Dockerized workloads to streamline cloud workloads on AWS. Deployed Kubernetes clusters on EKS using Terraform IaC, enabling zero-downtime rollouts for platform services. Strengthened information security posture by enforcing IAM policies and Secrets Manager rotation on AWS ECS. Engineered scalable REST APIs with Spring Boot, reducing data workflow latency. Automated networking configurations via Terraform modules, decreasing manual provisioning errors on EC2. Enhanced production observability with Prometheus and Grafana, automating SLO alerts and canary releases. Collaborated with agile teams to deliver end-to-end features, driving cloud deployments and CI/CD pipelines.
Software Engineer at JP Morgan
January 1, 2021 - July 1, 2024Built AI anomaly detection pipelines using Python to flag irregular SQL transaction patterns. Refactored monoliths into Spring Boot microservices, cutting tech debt and speeding builds. Developed robust microservices and schema registries for seamless communication across 5+ systems. Enforced SOX-compliant audit controls via Jenkins pipelines, securing PCI-DSS transaction workflows end-to-end. Defined strict GraphQL data contracts for zero-downtime integrations. Integrated React UI with Java backend services and secured role-based APIs. Improved performance by optimizing critical paths, caching data, and handling failures. Integrated Docker-based build environments into Jenkins CI/CD, cutting release cycle time by 19% on 12 services. Reduced Tier-1 production MTTR by 25% by tracing dependencies via OpenTelemetry and ELK logs. Hardened networking security by implementing OAuth2 token validation across 8 SOX-regulated banking microservices. Engineered Grafana dashboards to monitor SLAs a
Associate Software Engineer at Eli Lilly
January 1, 2019 - December 1, 2020Designed Python ETL pipelines ingesting clinical SQL datasets into HIPAA-compliant Azure Cosmos DB data stores. Deployed HIPAA-compliant RBAC and tamper-evident audit logs to secure healthcare data pipelines. Migrated legacy SQL systems to Azure Cosmos DB, enhancing data scalability and release automation. Provisioned Terraform-based Azure infrastructure for GxP-validated pharma environment builds. Built internal workflow services and APIs supporting operational tracking and business processes. Standardized error handling to improve reliability across workflows. Automated Linux server health checks with Bash and Jenkins to enforce FDA 21 CFR Part 11 audit workflows. Architected CI/CD pipelines via Jenkins, reducing manual deployments by over 50%. Containerized six Eli Lilly production services with Docker, reducing deployment failures by 31%.
Education
Master of Professional Studies in Data Sciences and Applications at University at Buffalo
January 11, 2030 - April 17, 2026Qualifications
Industry Experience
Software & Internet, Financial Services, Life Sciences
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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