Hexalog Technologies Private Limited

Role & responsibilities: Architecture & Design: Lead the design and implementation of large-scale distributed systems using Python. Define and enforce architectural standards, design patterns, and scalability strategies. Backend Development: Build, optimize, and maintain backend services, APIs, and microservices. Ensure robustness, performance, and security of systems handling high traffic and sensitive data Technical Leadership: Mentor SDE 1/2 engineers through code reviews, design sessions, and technical guidance. Drive adoption of best practices in coding, testing, DevOps, and documentation. Collaboration: Partner with product managers, frontend engineers, and DevOps to deliver end-to-end features. Influence technical decisions aligning with business goals. Performance & Monitoring: Optimize system performance and reliability. Implement observability tools for monitoring, logging, and alerting. Innovation & Scaling: Explore new tools, frameworks, and approaches to improve developer productivity and platform performance. Anticipate scaling challenges and design proactively for future growth. Preferred candidate profile 7-10 years of backend engineering experience, with Python (Django/FastAPI/Flask) as a core skill. Proven experience in designing and scaling high-performance distributed systems. Deep understanding of system design, architecture principles, and microservices. Expertise in databases (PostgreSQL, MySQL, MongoDB, Redis) and caching strategies. Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Proficiency with asynchronous programming, event-driven systems, and message brokers (Kafka, RabbitMQ, Celery). Strong understanding of CI/CD pipelines, automated testing, and version control (Git). Excellent problem-solving, debugging, and performance tuning skills. Preferred Qualifications Bachelors degree in computer science, Engineering, or a related field. Prior experience building SaaS products, logistics-tech platforms, or large-scale transactional systems. Knowledge of GraphQL, API gateways, and advanced security practices. Familiarity with observability stacks (Prometheus, Grafana, ELK). Experience in mentoring and leading small engineering teams.