Top Python Jobs in Bengaluru

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.

Design, develop, and maintain cloud-native backend systems and scalable APIs using Golang, Python, and Rust. Build and deploy microservices to Kubernetes, optimize cloud infrastructure for performance and cost, implement CI/CD/GitOps pipelines, and monitor and improve system reliability, performance, and availability.

Develop and maintain microservices in Golang and Python, build RESTful APIs, manage Docker/Kubernetes deployments, and implement infrastructure as code with Terraform. Manage AWS and on-prem infrastructure, design PostgreSQL schemas and Redis caching, configure CI/CD pipelines, optimize database performance, and contribute to system design including Kafka-based event-driven architectures.

Lead design, implement, and maintain multi-cloud infrastructure using IaC and GitOps; build CI/CD pipelines, manage Kubernetes and service mesh, enforce security and compliance, automate infrastructure and monitoring, optimise costs and performance, lead incident response, disaster recovery, and mentor junior engineers.

Leads network platform software development from requirements and feature design through implementation, testing, customer delivery, and issue resolution. Develops data paths for L2, L3, and QoS technologies using ASICs, Broadcom SDK, P4, and DPDK. Reviews technical documentation and code, improves performance and scalability, integrates third-party libraries, and mentors engineers. Requires deep expertise in Linux internals, networking stacks, high availability, kernel networking, packaging, containers, and virtual machines.

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.

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.

Design and lead development of miniaturized PCBs for wearable devices using custom Wi-R ICs and COTS components. Create schematics and layouts, perform board-level testing and debugging, collaborate on packaging, and support prototype validation and test automation.

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.

The CAD/Flow Methodology Development leader will define and scale EDA infrastructure, automate design flows, debug issues, and establish metrics for silicon delivery efficiency in cross-functional environments.

The Design Verification Engineer ensures functional correctness of IPs and SoCs by developing verification environments, driving coverage closure, and automating tasks to enhance productivity.

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.

Lead the architecture, design, and development of scalable full stack web applications. Establish frontend and backend standards, guide API and integration decisions, mentor developers, resolve technical conflicts, and collaborate with product, UX, QA, DevOps, and security teams. The role requires strong frontend expertise in Angular or React, backend knowledge, and experience translating business requirements into enterprise technical architectures.

Develop and optimize safety-critical embedded software for eVTOL flight controllers, avionics, and autopilot systems. Responsibilities include low-level driver and application development, sensor integration, guidance and navigation logic, real-time C/C++ programming, SIL/HIL testing, debugging, hardware integration, and DO-178C certification support. The role also involves architecture, code reviews, cross-functional collaboration, mentoring junior engineers, and contributing to aerospace software best practices.

Build and maintain an end-to-end real-time flight simulation framework for eVTOL aircraft, including dynamics, propulsion, controls, avionics, environmental effects, and failure modes. Develop C++ and Python software, automate verification and validation, integrate visual, audio, motion, VR/MR, and external systems, and ensure deterministic performance. Support SIL, HIL, pilot-in-the-loop testing, simulator qualification, certification readiness, and cross-functional collaboration with flight controls, avionics, autonomy, and hardware teams.

Build and operate scalable backend services for logistics, credit, compliance, and AI-driven applications. Responsibilities include designing high-throughput APIs and workflows, developing distributed and real-time systems, making data and reliability decisions, implementing testing and monitoring, and owning production services through deployment and debugging.

Design and build scalable backend microservices, distributed systems, event-driven architectures, data pipelines, and real-time analytics for procurement, logistics, credit, and compliance. Lead cloud infrastructure, CI/CD, observability, security, performance tuning, and reliability initiatives across high-throughput systems. Apply machine learning and automation to vendor recommendations, demand forecasting, risk scoring, and fraud detection while driving engineering standards through code reviews and cross-functional collaboration.