24 hours ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain robust backend systems for high-volume data processing.
- Lead the design and optimization of relational and non-relational databases, particularly PostgreSQL.
- Ensure the reliability, scalability, and performance of production data pipelines and backend services.
- Provide hands-on production support through monitoring, troubleshooting, and resolution of time-sensitive issues.
- Collaborate with Product, Operations, Design, and Architecture teams to deliver solutions aligned with business objectives.
- Apply complex business logic to improve system capabilities and data workflows.
- Champion code quality, performance tuning, maintainability, and continuous improvement across development, deployment, and monitoring.
- Participate in the full software development lifecycle, including design, development, testing, deployment, monitoring, and support.
- Lead initiatives and mentor peers.
Requirements
- 3-7 years of professional software engineering experience developing enterprise-grade backend and data systems.
- Advanced proficiency in SQL, Python, and PySpark for data processing and application development.
- Expertise in PostgreSQL, including query optimization, indexing, partitioning, and performance tuning.
- Experience supporting mission-critical, time-sensitive production environments and client-facing data delivery.
- Strong understanding of RESTful APIs, microservices architecture, and scalable system design.
- Working knowledge of Git, CI/CD pipelines, and DevOps practices.
- Ability to lead initiatives, mentor peers, independently drive complex technical solutions, and adapt to evolving technical environments.
- Ability to incorporate AI-enabled development workflows while maintaining security, code quality, and architectural standards.
- Experience working in Agile development environments.
- Strong analytical, problem-solving, communication, and collaboration skills.
Benefits
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning.
- Employee Assistance Program (EAP).
Tech Stack
Categories
BackendData Engineering
