Senior Software Engineer

Role Overview

We are seeking a seasoned Senior Backend Engineer with 4 to 6 years of core backend software development experience to join our engineering team. In this role, you will take ownership of our server-side architecture - building scalable services, designing robust data models, and optimizing production infrastructure.

The ideal candidate possesses deep expertise in Python, Django, OOP design principles, distributed systems, and modern database architectures. You will lead key technical initiatives, mentor mid-level/junior engineers, and ensure high reliability, security, and performance across all our backend platforms.

Key Responsibilities

• System Architecture Design: Architect, build, and deploy production-grade, highly scalable, and low-latency microservices and RESTful/GraphQL APIs using Python and Django.
• Database Data Modeling: Design, optimize, and maintain complex relational (PostgreSQL, MySQL) and non-relational databases. Drive query performance tuning and caching strategy optimization (e.g., Redis).
• Technical Leadership Mentorship: Lead architectural reviews, define coding standards, conduct comprehensive code reviews, and mentor engineers to level up the team’s engineering rigor.
• Performance Reliability: Identify performance bottlenecks, optimize application speed, drive zero-downtime deployments, and maintain robust error-monitoring systems.
• Security Compliance: Enforce security best practices across APIs and data pipelines (e.g., auth protocols, data encryption, OWASP guidelines).
• Cross-Functional Collaboration: Partner closely with product management, engineering leads, and DevOps to translate complex business requirements into clear technical specifications.

Required Skills Qualifications (Must-Have)

• Experience: 4 to 6 years of hands-on experience building, scaling, and maintaining complex backend software systems in production.
• Core Stack: Advanced proficiency in Python and extensive production experience with Django (and Django REST Framework).
• Object-Oriented Design Patterns: Deep expertise in OOP, Clean Architecture, Domain-Driven Design (DDD), SOLID principles, and design patterns.
• Database Engineering: Expert-level knowledge of SQL, schema design, index optimization, ORM tuning, and data caching mechanisms (Redis, Memcached).
• Asynchronous Processing: Strong experience with asynchronous task queues, background workers, and message brokers (e.g., Celery, RabbitMQ, Apache Kafka).
• API Architecture: Proven track record in designing, building, and documenting secure, versioned RESTful APIs or GraphQL endpoints.
• Testing Quality: Rigorous commitment to testing (unit, integration, load testing using pytest, locust, etc.) and CI/CD automation workflows.
• Version Control: Mastery of Git, branching strategies, and collaborative code integration.

Preferred Bonus Skills (Good-to-Have)

• Cloud Infrastructure: Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).
• System Design Scale: Experience migrating monolithic applications to microservices or event-driven architectures.
• Observability: Experience setting up logging, metrics, and tracing tools (e.g., Prometheus, Grafana, Datadog, Sentry, OpenTelemetry).
• Frontend Familiarity: Basic understanding of modern web frontend frameworks (e.g., React, Vue.js) for seamless full-stack collaboration.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.