Grid Dynamics
Python Fullstack Developer
Skills
14 days ago
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Important information
Contract type:
Permanent
Salary:
₹2,500,000 – ₹2,750,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
5 October 2026
What they need
Job Title: Lead / Principal Software Engineer Systems & Architecture
Experience: 8+ Years
Location: Hybrid / On-site
Employment Type: Full-time
Job Overview
We are looking for a Senior / Lead Software Engineer to take end-to-end ownership of the architecture, design, and production stability of our high-throughput systems. You will design scalable microservices, manage complex relational data models, implement enterprise security protocols, and drive operational excellence across engineering teams.
Key Responsibilities
- Architecture & System Design: Produce high-level and detailed technical designs, API contracts, and integration patterns while balancing trade-offs (consistency vs. availability, maintainability vs. complexity).
- Distributed Systems & Concurrency: Design resilient systems handling high concurrency, asynchronous messaging, idempotency, transaction isolation, and auditability.
- Security & Auth: Implement enterprise SSO, OAuth 2.0, OpenID Connect (OIDC), and RBAC/ABAC while adhering to OWASP security standards.
- Data & Performance: Drive relational database modeling, complex SQL optimization, performance tuning, and safe schema migrations.
- Operations & Observability: Own production diagnostics, RCA for incidents, and observability setup (tracing, metrics, structured logging, SLI/SLOs) on Kubernetes and Docker infrastructure.
- AI & Engineering Practices: Leverage AI coding assistants (Claude Code, GitHub Copilot, Cursor) to accelerate development and set technical standards across teams.
Key Requirements
- 8+ years of software engineering experience with strong full-stack delivery and system ownership.
- Deep experience in Distributed Systems, OAuth 2.0/OIDC, Relational Data Modeling, and Concurrency Controls.
- Hands-on proficiency with Docker, Kubernetes, CI/CD pipelines, and Observability tools.
- Daily fluency with AI-assisted development tools and strong code verification judgment.
- Proven track record of operating production systems and leading live-incident responses in Agile environments.
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