
High Performing Software Engineer
2 days ago
This role is part of a high-performing team maintaining and evolving a large-scale, production-grade system used by global enterprise clients.
Key Responsibilities- Maintain and enhance a core platform built with Python and Django ORM, using PostgreSQL, NGINX, and Celery for orchestration and background processing
- Extend and navigate the internal GraphQL API layer for scalable and testable integrations
- Write robust unit and integration tests using Pytest and related frameworks to ensure high coverage and system reliability
- Participate in incident resolution and performance tuning by analyzing logs and metrics through tools like Splunk and Sentinel
- Collaborate with cross-functional teams including Product Managers, UX Designers, Developers, and QA to implement improvements and resolve production issues
- Review peer code contributions and uphold engineering standards and CI/CD workflows
- Produce and maintain clear technical documentation and contribute to internal knowledge bases
- 7+ years of experience developing and maintaining web applications using Python
- Strong knowledge of frontend technologies including HTML, CSS, JavaScript, and React (hooks, state management, component design)
- Experience working with REST APIs and GraphQL
- Familiarity with relational databases such as PostgreSQL
- Hands-on experience with testing frameworks like Pytest, Jest, or React Testing Library
- Comfortable with feature flagging systems and version control best practices using Git
- Ability to write clean, maintainable, and well-documented code focused on testability
- Basic proficiency in reading and writing English for technical documentation purposes
- Willingness to work collaboratively in a remote, asynchronous, and agile team environment
- Experience with large-scale, multi-tenant enterprise platforms
- Knowledge of NGINX, Celery, or SAML/SSO authentication flows
- Familiarity with CI/CD pipelines and observability tools such as Splunk or Sentinel
- Experience with feature toggles, environment-based deployments, or customer-specific customizations
- Background in multi-language or internationalized product environments
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