Senior Python Developer

Job Description: Senior Python DeveloperRequired Expertise (10+ Years):Location: Delhi – Netaji Subhash Place (NSP), Work From Office (WFO)Position: Full-time, Senior-LevelAbout UsFounded in 2010, Innefu is an AI Driven R&D company providing cutting edge Data Analytics and Information Security solutions. The company was started with a clear focus to carry out high Tech R&D which fuels innovation and leads to products which can capture the global market and be the cornerstone of the economy of the country. With more than 100+ installations across Indian Subcontinent, Middle East and Southeast Asia, the company is today a de-facto leader in developing and deploying AI for National and cyber-Security. The company with its own range of products serves a diverse client base including Defense and Intelligence organizations, Law Enforcement Agencies, Financial Intelligence Units, BFSI as well as top Fortune 500 companies. Having worked with some of the most sensitive organizations, the company has a deep understanding of handling sensitive and critical installations. The company has a clear focus on developing state-of-the-art products oriented towards solving real world problems of our clients with exemplary support to ensure 100% customer satisfaction.The Role: Own the ArchitectureWe are looking for a Principal Senior Python Developer with over 10 years of experience to be a cornerstone of our engineering team. This role goes beyond writing code; it's about owning the technical direction of critical services. You will be the go-to expert for designing, scaling, and optimizing our core platform, leveraging your deep expertise across the Python ecosystem and modern data stacks. Your influence will be felt in our architecture, our code quality, and the growth of your peers.Key Responsibilities: Where You'll Make an ImpactArchitectural Leadership & Strategy:Design & Build: Architect, develop, and deploy robust, scalable backend services using Python with deep expertise in its frameworks, particularly Django, Flask, and FastAPI.Data & Search Mastery: Design and manage our data layer, utilizing PostgreSQL for complex transactional data and Elasticsearch for powerful search, analytics, and log management capabilities. You will optimize queries, design indices, and ensure data integrity.Technical Direction: Lead the evolution of our system architecture, making pivotal decisions on technology, patterns, and tools to ensure long-term scalability, resilience, and performance.Full-Lifecycle Ownership: Take complete ownership of features from conceptualization and technical design through to deployment, monitoring, and iterative improvement.Engineering Excellence & Mentorship:Raise the Bar: Champion best practices in software engineering, including comprehensive testing (unit, integration, e2e), clean code principles, and effective documentation. You will be a standard-bearer for quality.Mentor and Guide: Act as a force multiplier for the team by providing technical guidance, conducting insightful code reviews, and mentoring mid-level and junior developers to accelerate their growth.Solve Complex Challenges: Tackle our most difficult technical problems, from performance bottlenecks in PostgreSQL to designing complex data pipelines and high-throughput APIs with FastAPI.What You Bring (Qualifications & Experience)Required Expertise (10+ Years):A decade of professional experience in software development, with the vast majority focused on the Python ecosystem.Master-level, production experience with at least two of the following: Django, Flask, and FastAPI. The ability to articulate the trade-offs between them is essential.5+ years of hands-on experience with Elasticsearch, including index design, mapping, complex query DSL, aggregations, and performance tuning.Extensive experience with PostgreSQL, including advanced query optimization, schema design, and performance troubleshooting.A proven track record of designing, building, and maintaining distributed systems and microservices architectures.Demonstrable experience in a role with significant technical influence—where you've been responsible for guiding architectural choices, setting technical standards, and mentoring others.Nice-to-Have Skills:Experience with cloud platforms (AWS, GCP, Azure) and containerization/orchestration (Docker, Kubernetes).Knowledge of asynchronous programming in Python (asyncio) and message brokers (RabbitMQ, Kafka).Familiarity with Infrastructure-as-Code (e.g., Terraform, CDK).Experience with the wider ELK Stack (Logstash, Kibana).