Lead Software Engineer

Visa • Bachelor's Degree • Python • TypeScript • JavaScript • 2 months ago
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Salary
≈ $31k – $83k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp
Overview
Company
Impact
Profile match

Visa

Visa operates a global electronic payments network that connects consumers, merchants, financial institutions, and governments. It provides transaction processing and related services for credit, debit, prepaid, and digital payments but generally does not issue cards directly.
visa.com • HQ: San Francisco, United States • Financial Services • Credit Cards • Payments • Est. 1958

Requirements:

  • Bachelor's or master's degree in computer science, IT, or a related field.
  • 8-11 years of experience in software engineering, including 8-10 years in technical ownership and delivery leadership roles.
  • Proven ability to design and deliver scalable, distributed systems across backend, frontend, and runtime layers.
  • Strong leadership skills with experience mentoring engineers, leading epics, and driving cross-service execution.
  • Hands-on expertise in Python and Django (DRF/Ninja) for building production-grade APIs, data models, and async workloads (Celery).
  • Strong experience with TypeScript and React ecosystems (React 19 Vite, monorepos) for modern web application development.
  • Solid experience in REST APIs, microservices, containerization (Docker/ECS Fargate), and cloud-native architectures.
  • Proficiency in PostgreSQL, Redis, and search/indexing systems (OpenSearch); exposure to document/graph databases is a plus.
  • Deep experience with AWS services such as ECS Fargate, RDS, S3 SQS, ALB, IAM, CloudFront, and Bedrock.
  • Strong understanding of asynchronous systems, messaging, and real-time communication (SSE/WebSockets).
  • Experience with authentication and authorization (Okta/OIDC, JWT) in multi-tenant SaaS environments.
  • Working knowledge of DevOps and IaC practices (Terraform/AWS CDK), CI/CD pipelines, and testing frameworks.
  • Exposure to Generative AI technologies (LLMs, RAG, agent-based systems) with hands-on experience preferred.
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