Top Python Jobs in Bengaluru

Develop scalable, high-performance backend applications using Python. Responsibilities include Core Python and object-oriented programming, functional programming, multithreading, multiprocessing, asynchronous development, REST API creation and integration, SQL query optimization, Apache Spark distributed processing, debugging, performance tuning, and problem-solving.

Develop backend applications using Python, object-oriented and functional programming, REST APIs, SQL, Apache Spark, multithreading, multiprocessing, and asynchronous programming. This hybrid full-time role is based in Bengaluru, Hyderabad, Pune, or Chennai and requires 6–10 years of experience.

Manage and operate cloud infrastructure across AWS, Azure, or GCP. Administer Linux and Windows servers, implement infrastructure as code using Terraform or Bicep, and automate with scripting and Ansible. Handle patching, monitoring, backups, performance tuning, incident management, troubleshooting, and root cause analysis. Apply knowledge of networking, virtualization, IAM, Kubernetes, and DevOps tools while communicating effectively with customers.

Lead architecture and development of scalable backend services, APIs, and secure crypto payment products. Own technical roadmaps, make system design decisions, mentor engineers, collaborate with product and leadership, and optimize performance across large-scale systems. The role involves Azure cloud deployment, Kubernetes, Terraform, CI/CD, testing, debugging, DevSecOps, and security best practices, while shaping engineering culture and product strategy in a fintech startup.

Deploys Maxima’s AI accounting platform for enterprise customers. Responsibilities include supporting technical sales cycles, running proofs of concept, leading discovery, scoping implementations, tuning prompts and models, building integrations and custom modules, and troubleshooting production software. The role requires close customer collaboration, communication with Account Executives, and partnership with product and engineering teams to deliver reliable customer solutions.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Lead the quality strategy for AI-powered products, including LLM outputs, agent workflows, APIs, cloud services, and enterprise deployments. Manage and mentor QA teams, build automation frameworks, develop AI-specific evaluation and regression testing, oversee performance and API testing, integrate tests into CI/CD, manage release sign-offs, and monitor model reliability and production behavior. Partner with Product, ML, Platform, DevOps, and leadership teams to drive quality initiatives.

Develop and maintain scalable backend applications, APIs, and microservices. Containerize and deploy applications using Docker, Kubernetes, and cloud platforms. Build and manage CI/CD pipelines, troubleshoot production issues using monitoring data, and contribute to system design, scalability, performance, and reliability.

Provides Level 1 and Level 2 production support for trading systems, manages order management and market data platforms, monitors system health, troubleshoots incidents, conducts root cause analysis, and improves reliability through automation and self-correction. Works with traders, quants, developers, clients, and system users while supporting follow-the-sun operations and adapting to non-standard work hours.

Build and operate high-throughput, low-latency Python backend systems for a computer vision AI platform used in semiconductor manufacturing. Responsibilities include designing APIs, scaling distributed infrastructure, supporting cloud and customer-hosted deployments, operating production systems, debugging customer issues, improving observability, and contributing to architecture, code reviews, mentoring, and post-mortems.

Build and maintain JavaScript and React applications, cloud infrastructure, AI-enabled workflows, scalable APIs, event-driven systems, and healthcare integrations. The role involves working with telephony platforms, AI providers, and third-party services while advancing autonomous workflow orchestration. Engineers will use modern AI-assisted development tools, contribute independently in a startup environment, and collaborate during consistent EST hours.

Develop and optimize optical alignment systems, test methodologies, and manufacturing tests for LiDAR and sensor modules from prototypes through high-volume production. Build precision fixtures and motorized stages, create active alignment algorithms, characterize silicon photonics components, and improve test throughput, repeatability, yield, and coverage. Analyze manufacturing data to identify process variation and failures while collaborating with design, photonics, mechanical, manufacturing, quality, and external vendor teams.

Own backend systems for video exports, proxies, media preprocessing, analysis, and AI-powered editing. Maintain APIs and state contracts across browsers, workers, storage, and databases. Improve long-running workflows including uploads, processing, progress tracking, recovery, and exports. The role requires production backend ownership, distributed workflow reasoning, media-format knowledge, and flexibility across TypeScript, Go, Rust, or Python. Deep FFmpeg, GStreamer, or codec expertise is a bonus.

Build and ship customer-facing backend services, APIs, AI-powered workflows, and integrations with CRM and scheduling platforms. Work across the product lifecycle with Product, Design, Customer Success, and senior engineers. Responsibilities include writing tests, monitoring production systems, participating in on-call and incident response, and solving loosely defined customer problems. The role requires fast, high-quality execution in a hybrid Bengaluru startup environment.

Develop and maintain geospatial solutions using satellite imagery, raster and vector data, weather datasets, and geospatial databases. Responsibilities include Python-based raster processing, spatial data acquisition and quality assurance, algorithm development, database management, technical support, and collaboration with cross-functional teams. The role requires expertise in open-source geospatial tools, remote sensing, Google Earth Engine, PostgreSQL, and geospatial data formats.

Design, automate, and operate cloud infrastructure and developer platforms using Kubernetes, Pulumi, Istio, and AWS. Build CI/CD pipelines for microservices, manage service mesh and IoT integrations, improve developer tooling, and implement monitoring, alerting, and reliability standards. The role partners with engineering teams to troubleshoot distributed systems, optimize performance and costs, and guide technical decisions.

Design, develop, test, and maintain software applications and features. Build REST APIs, work with SQL databases, debug issues across environments, and contribute to code reviews, technical designs, and Agile ceremonies. Own features end-to-end, collaborate with QA and engineering teams, and write scalable, well-tested code using modern software development technologies.

Leads customer-facing technical delivery as a hands-on software engineering owner. Designs and implements production-grade backend services, APIs, distributed systems, integrations, and GenAI applications involving LLMs, RAG, and agentic workflows. Owns architecture, reliability, observability, troubleshooting, customer rollouts, and technical escalations. Mentors engineers, establishes delivery standards, collaborates across product and research teams, and converts customer insights into reusable platform components and patterns.

Build and maintain scalable UI, API, and integration test automation for an AI-driven cloud operations platform. Develop test strategies for microservices and distributed systems, integrate automated testing into CI/CD pipelines, validate REST APIs and contracts, investigate defects, and use observability data to improve quality. Support cloud environments, test data, release coverage, code reviews, and shift-left and shift-right quality practices.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Own enterprise supply chain implementations from discovery through go-live, translating complex planning and execution challenges into AI-native models and workflows. Build and debug Python, SQL, optimization, simulation, and machine learning solutions on Lyric’s platform. Partner with customers, Product, and Engineering; mentor junior engineers; develop reusable accelerators; and apply AI tools to improve delivery. Focus areas include network optimization, scenario analysis, demand planning, inventory management, production scheduling, and supply chain execution.

Lead full‑stack development and technical leadership for CFRA's next‑generation customer‑facing web applications. Mentor the team, design scalable React/TypeScript frontends and Python backends on AWS, collaborate with product stakeholders, follow Agile practices, resolve production issues, and drive continuous improvement.

Build and maintain complete web applications and backend services from architecture through production. Develop responsive interfaces, APIs, background workers, data pipelines, and AI integrations. Manage cloud deployment, monitoring, CI/CD, load testing, and system optimization. The role requires end-to-end ownership, strong full-stack development skills, relational database expertise, event-driven architecture knowledge, and the ability to work independently while communicating technical tradeoffs.

Develop kernel- and user-mode device drivers for Ethernovia networking hardware, integrating with Linux and AUTOSAR communication stacks. Own driver architecture, implementation, testing, debugging, and SDK integration for safety-critical automotive systems. Develop stack extensions, utilities, and automated unit and system tests while applying functional safety and engineering standards. The role requires strong C/C++ skills, operating-system and kernel knowledge, hardware integration experience, and familiarity with communication devices and embedded platforms.

Manage Azure administration and DevOps infrastructure, including CI/CD pipelines, infrastructure as code, containers, Kubernetes, and microservice deployments. Deploy and scale AI and ETL workloads using Azure services, Python, and PySpark. Implement DevSecOps, secrets management, RBAC, monitoring, logging, governance, and Git-based collaboration while supporting Agile development practices.