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LatentBridge is seeking a Backend Python Developer to design, develop, and scale backend systems powering our AI-driven products. You will optimize Azure SQL, create robust APIs, and work with Django/Flask/FastAPI in a collaborative, fast-paced environment.
The role requires 8–10 years of backend experience, strong Python skills, and a focus on performance, security, and scalability. Hybrid work model across Pune, Bengaluru, and Noida opportunities preferred.
At LatentBridge, we make digital transformation work—without the noise.
We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.
Our products—Epic AI and IntellixCore—are built for this depth.Epic AI delivers enterprise-grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.
IntellixCore is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.
We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.
In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.
What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.
JUpdated Job Description: Backend Python DeveloperJob Title: Backend Python DeveloperLocation: Pune, Bengaluru (Hybrid), NoidaExperience: 8–10 yearsEmployment Type: Full-timeRole OverviewWeare looking for a Backend Python Developer to design, develop, and scale backendsystems that power our products and platforms. The role requires strong databaseengineering expertise, particularly in Azure SQL, with a focus on query performance,optimization, and database design.You will work closely with product managers, frontend engineers, data scientists, andDevOps teams to build reliable, secure, and high-performing APIs and services.Key ResponsibilitiesDesign, develop, and maintain backend services and APIs using PythonBuild scalable, high-performance systems using frameworks such as Django, Flask, orFastAPIDevelop and integrate RESTful APIs and asynchronous services where requiredDesign and optimize database structures in Azure SQL and other relationaldatabasesCreate and manage Views, Indexes, and Stored Procedures for performanceoptimizationAnalyze query execution plans and optimize complex SQL queries for highperformanceWork with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)Ensure code quality, performance, security, and scalabilityWrite clean, testable, and maintainable code with proper documentationCollaborate with cross-functional teams to translate business requirements intotechnical solutionsDebug, troubleshoot, and optimize both application and database performancebottlenecksParticipate in code reviews and contribute to engineering best practicesRequired Skills & QualificationsStrong proficiency in PythonExperience with backend frameworks: Django / Flask / FastAPISolid understanding of REST APIs, HTTP protocols, and backend architectureCore Database Expertise (Must-Have)Hands-on experience with Azure SQL DatabaseStrong proficiency in SQL including:o Viewso Indexes (clustered, non-clustered, performance tuning)o Stored ProceduresExpertise in Query Optimization:o Queryplanning and execution analysiso Performance tuning using execution planso Identifying bottlenecks and optimizing large-scale queriesStrong experience in designing efficient and scalable database schemasFamiliarity with Git and version control workflowsKnowledge of object-oriented design, data structures, and algorithmsUnderstanding of authentication, authorization, and security best practicesAbility to work in an agile, fast-paced environmentGood to HaveExperience with AWS cloud platformExposure to Docker, containers, and CI/CD pipelinesExperience with async programming, message queues (Kafka, RabbitMQ), orbackground workers (Celery)Understanding of microservices architecturePrevious experience in data, AI, or analytics-driven platforms
Strong emphasis will be placed on database-related problem-solving during interviews, including:o SQLqueryoptimization scenarioso Indexing strategieso Execution plan analysiso Real-world performance tuning use cases