Sanjay Jat

Software Engineer

Bengaluru, Karnataka, India1 yr 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in backend engineering with AI integration.
  • Proficient in cloud infrastructure design and management.
  • Strong experience in building scalable backend services.
Stackforce AI infers this person is a Backend Engineer specializing in AI-driven scalable systems within the SaaS industry.

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Skills

Core Skills

Backend EngineeringCloud Infrastructure

Other Skills

Google Cloud Platform (GCP)Amazon Web Services (AWS)TerraformFastAPIDockerKubernetesPythonObject-Oriented Programming (OOP)Database Management System (DBMS)Artificial Intelligence (AI)DevOpsbackendPostgreSQLWebSocketDocker Products

About

Backend & Platform Engineer focused on building scalable systems that combine backend engineering with AI-driven workflows. Currently working at Quantiphi, where I design and operate cloud infrastructure on GCP and AWS using Terraform, while also building backend services using FastAPI with a focus on async processing, validation, and system reliability. My work sits at the intersection of backend systems and ML infrastructure — enabling model deployment, secure service-to-service communication, and scalable data pipelines. I’m currently deepening my focus on: • Backend system design (scalable APIs, caching, async systems) • AI systems (RAG pipelines, embeddings, LLM integrations) • Production engineering (Docker, CI/CD, observability) I’m particularly interested in roles where backend engineering meets AI — building systems that are not just functional, but production-ready and scalable.

Experience

1 yr 10 mos
Total Experience
1 yr 10 mos
Average Tenure
1 yr 10 mos
Current Experience

Quantiphi

2 roles

Software Engineer

Aug 2024Present · 1 yr 10 mos

  • Designed and maintained cloud infrastructure on GCP and AWS using Terraform, following modular and reusable IaC patterns
  • Built and supported backend services using Python and FastAPI with async APIs and structured validation
  • Containerized applications using Docker and deployed services on Kubernetes-based environments
  • Worked on internal platform/framework components enabling scalable service and model delivery
  • Implemented secure service-to-service authentication, IAM role-based access, and environment isolation
  • Collaborated with ML engineers to operationalize model deployments and supporting infra
Google Cloud Platform (GCP)Amazon Web Services (AWS)TerraformFastAPIDockerKubernetes+3

Software Engineer Intern

Feb 2024Aug 2024 · 6 mos

KubernetesTerraform

Persistent systems

Martian Summer Intern

Jun 2023Aug 2023 · 2 mos · India · Remote

Object-Oriented Programming (OOP)Database Management System (DBMS)

Education

Institute of Engineering & Technology DAVV, Indore

Bachelor of Engineering - BE — electronic and telecommunications

Jan 2020Jan 2024

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