Top Python Developer Jobs in Bangalore

Develop and maintain Python backend services for global trade structuring and risk tools. Lead full-lifecycle software development, participate in requirements gathering, propose technical solutions, and support production systems. Promote AI-assisted engineering practices with secure validation standards, automated testing, and governance. Collaborate with global teams, troubleshoot distributed applications, work with event-based architectures, and help expand platform adoption across development teams.

Leads an agile software feature team while contributing hands-on to Python and Java development, microservices, REST and event-driven integrations, batch processing, testing, deployment, and production support. Establishes engineering standards for CI/CD, security, reliability, observability, and responsible AI-assisted development. Provides estimates, facilitates agile ceremonies, mentors engineers, manages stakeholders, and owns solutions throughout the full software lifecycle.

Lead design and deliver low-latency, high-throughput Python services and event-driven microservices for real-time Risk & PnL. Drive engineering standards, production excellence, observability, performance tuning, secure coding, and AI-assisted development adoption. Mentor engineers and collaborate with quant, trading, risk, and production teams to meet SLAs and operational readiness.

Leads development of secure, scalable data pipelines and software applications using Python, Spark, FastAPI, AWS, and Terraform. Designs, deploys, tests, troubleshoots, and maintains production data architectures, reviews code, improves operational stability, and evaluates architectural solutions with vendors and internal teams. Promotes responsible AI-assisted engineering practices, coaches team members on secure AI adoption, and contributes to agile team culture.

Leads software engineering within an agile team, designing, developing, testing, debugging, and operating secure, scalable production applications. Provides technical guidance, reviews code, influences product and technical decisions, and serves as a subject-matter expert. Drives adoption and governance of AI-assisted engineering practices, automation, secure coding, testing, and SDLC frameworks. Requires advanced Java and Python expertise, cloud-native experience, independent problem-solving, and the ability to coach engineering teams on responsible AI usage.

Leads backend software engineering within an agile financial-services technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable production code using Java and Python. Drives adoption of approved AI-assisted development practices, establishes validation standards, automates recurring remediation, improves application resiliency, and evaluates vendor and architectural solutions. Requires strong SDLC, cloud-native, security, CI/CD, platform engineering, and financial-services technology expertise.

Leads agile software engineering efforts within JPMorganChase’s CTO organization. Designs, develops, tests, troubleshoots, and reviews secure, scalable Java and Python applications; improves operational stability through automation and remediation. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, coaches engineers on secure usage, applies SDLC and cloud-native practices, and evaluates vendor and startup technologies for architectural fit.

Develop and support full-stack, data-enabled applications using Python and FastAPI back ends, React front ends, Databricks data workflows, SQLite persistence, and SharePoint integrations. Responsibilities include API and UI development, data transformation, testing, documentation, CI/CD, deployment support, observability, troubleshooting, stakeholder collaboration, and secure, resilient solution delivery.

Lead full‑stack development across frontend and backend, design and operate scalable SaaS systems, embed AI capabilities, modernize legacy services, build RESTful APIs and microservices, review code, and collaborate with product and design to deliver high‑quality user experiences.

Lead full‑stack engineer responsible for end-to-end feature delivery: front-end interfaces, back-end services/APIs, cloud/DevOps, testing, security, and promoting enterprise AI‑assisted engineering practices and automation.

The Senior Software Development Engineer will develop automation frameworks, execute testing strategies, optimize performance, and collaborate with teams to ensure product reliability and quality.

Design and develop control-plane and data-plane software for Cisco IOS XE networking platforms. Lead complex features from architecture through production, make system-level design decisions, improve software quality and performance, resolve production issues, and guide technical standards. Collaborate with product and engineering leaders on telemetry, configuration management, and data modeling. Mentor engineers, lead reviews and threat modeling, influence roadmaps, and apply AI-assisted technologies to build secure, scalable networking software.

Develop and execute test plans for Cisco ACI fabric deployment, management, monitoring, automation, APIs, and integrations with VMware vCenter, OpenShift, and Kubernetes. Build and improve Python-based test automation, troubleshoot complex network and software issues, validate networking protocols and infrastructure, and support continuous integration. Collaborate across engineering, product, and design teams, lead projects and feature delivery, review code, document designs, and improve agile development processes.

Develop and maintain Blue Yonder’s cloud-native Supply Chain Data Platform using Python, Django, REST APIs, scalable microservices, event-driven architecture, and Azure. Responsibilities include writing tested, secure code; troubleshooting incidents; resolving defects; participating in Agile planning and design; improving reliability, performance, automation, and CI pipelines; documenting solutions; collaborating with stakeholders; mentoring junior engineers; and supporting customer implementations.

Develop and maintain frontend and backend components for enterprise Data to Decision systems using React and Python. Integrate data science outputs through REST APIs, create interactive visualizations, collaborate with business and product stakeholders, participate in UAT, troubleshoot application and integration issues, and maintain technical documentation. The role also involves database development, performance optimization, testing, deployment, and infrastructure maintenance.

Build and maintain core components of Fortanix’s Data Security Manager platform. Develop backend services and REST APIs, automate the software development lifecycle, and improve code quality, stability, scalability, performance, and security. Collaborate with global engineering teams to translate product requirements into technical designs and implementation plans. The role focuses on distributed systems, microservices, cloud platforms, CI/CD, Docker, and Kubernetes.

As a Full Stack Engineer, you will leverage technologies to develop AI applications and prototypes, focusing on innovative solutions and cloud services.

Design, develop, and maintain full-stack applications with Python backends and React interfaces. Build data engineering systems, ETL/ELT pipelines, data warehouses, and models for large-scale datasets. Deploy scalable microservices on cloud platforms, implement CI/CD and automated testing, and collaborate with AI, data, cloud, and product teams. Prototype AI/ML and generative AI solutions while translating ambiguous business needs into reliable technical products.

Develops, tests, deploys, and supports software applications, primarily within ServiceNow and cloud environments. Responsibilities include coding, unit testing, build and deployment activities, environment validation, configuration management, automation, impact analysis, process improvement, and mentoring junior team members. The role applies requirements analysis and decision-making techniques while meeting delivery responsibilities and service-level agreements.

Develop and maintain scalable test automation frameworks and reusable scripts across UI, API, database, and potentially mobile or desktop applications. Integrate automated testing with CI/CD pipelines, execute and troubleshoot tests, manage test data and environments, document coverage, and support quality initiatives. Collaborate with developers, QA, DevOps, and product owners across Agile teams while mentoring junior engineers and contributing to code reviews and continuous improvement.

Develops and enhances systems software using Golang and Python. Designs, codes, tests, debugs, and integrates software components while addressing scalability and performance. Leads project teams and collaborates with internal and outsourced partners on architecture, development, and issue resolution. Provides technical guidance and mentoring to less-experienced engineers. The role requires expertise in databases, distributed systems, DevOps, Kubernetes, open-source data tools, networking, and software development workflows.

Designs, implements, and maintains automated service fulfillment, remediation, and reporting solutions via software development and system configuration. Participates in automation design reviews, scopes and estimates work, and provides production support, troubleshooting, and root-cause analysis to reduce manual IT operations.

Develop and maintain backend services in Python and C#/.NET, contributing to AI and ML capabilities in industrial systems while collaborating with a global team.

Design, develop, test, deploy, and maintain cloud-native backend services using Golang, Node.js, Python, AWS, and microservices. Build scalable security data-processing systems, REST APIs, CI/CD pipelines, and deployment automation. Monitor performance, troubleshoot distributed data flows, conduct root-cause analysis, and improve reliability. Collaborate with product, architecture, security, and operations teams while participating in code reviews, Agile ceremonies, and technical design discussions.

Design and maintain scalable Python microservices, REST APIs, WebSockets, background jobs, and event-driven systems. Deploy AWS infrastructure using Terraform or AWS CDK, build CI/CD pipelines, optimize PostgreSQL, DynamoDB, and Redis data layers, and enforce secure authentication and access controls. Develop frontend features with React, Next.js, and TypeScript, while integrating AI/LLM capabilities, agentic frameworks, RAG workflows, and vector databases. Lead backend architecture and ensure quality through automated testing and LLM evaluations.