Top Python Developer Jobs in Bangalore

Develop and maintain scalable full-stack applications using Java, Spring Boot, React, Python, and AWS. Build cloud-native solutions, integrate generative AI and LLM capabilities, and use authorized AI development tools responsibly. Participate in design, code reviews, testing, troubleshooting, CI/CD, automation, and operational remediation. Collaborate with cross-functional teams, apply secure development practices, and guide peers in validating AI-generated outputs. The role requires experience with databases, messaging, containers, Kubernetes, and enterprise software development.

Leads development of reusable software components, APIs, automation, infrastructure, and cross-product engineering capabilities. Designs secure production solutions using Java, Python, React, cloud-native technologies, CI/CD, and infrastructure as code. Establishes governed AI-assisted engineering workflows, validates AI outputs, improves observability and application resiliency, standardizes engineering practices, mentors developers, and partners with product and architecture teams to deliver strategic initiatives.

Supports system reliability for JPMorgan Chase Payments Technology by developing robust code, managing cloud infrastructure, resolving incidents, eliminating operational toil, and improving observability, alerting, and service-level objectives. The role also uses authorized AI tools for troubleshooting and post-incident analysis, while contributing to CI/CD, containerized AWS deployments, Terraform automation, microservices, and database development.

Develop and maintain scalable software and AI-enabled solutions across the product lifecycle. Collaborate with agile product teams, build full-stack and cloud-native capabilities, implement CI/CD, automated testing, observability, and DevOps practices, and contribute to responsible AI development. Own production reliability through monitoring, incident response, root cause analysis, and continuous improvement while reducing technical debt and sharing engineering best practices.

Leads a team of software engineers developing secure, scalable financial technology solutions using Java and Python. Responsibilities include system design, coding, code review, testing, production support, troubleshooting, automation, AI-assisted engineering adoption, vendor evaluation, and maintaining application resiliency and security within an agile SDLC.

Leads software engineering teams building Python and generative AI automation, governing application risk and compliance, and operating resilient production services. Responsibilities include Kubernetes and cloud architecture, data pipelines, observability, CI/CD, SRE practices, incident management, security, AI-assisted engineering adoption, and cross-team execution. The role also establishes service-level objectives, error budgets, and reliability improvements while coaching engineers and documenting organizational knowledge.

Staff backend engineer responsible for architecting, developing, scaling, deploying, and operating distributed services and APIs. The role emphasizes Kubernetes, cloud infrastructure, reliability, performance, incident response, root-cause analysis, and production support. The engineer will lead technical initiatives, make architectural decisions, troubleshoot complex systems, and apply AI-assisted engineering workflows to improve development velocity and operational efficiency.

Lead development and support of an asset and liability platform for risk evaluation and business activities. Design, develop, test, debug, and maintain secure production software using Java and Python. Provide technical guidance, review code, improve SDLC automation, govern AI-assisted engineering practices, and influence application architecture and operations. Serve as a subject matter expert while promoting secure coding, testing, cloud-native practices, and engineering standards across teams.

Designs and develops scalable web-based automation platforms for manufacturing partners and business operations. Responsibilities include architecture, system integration documentation, troubleshooting, root-cause analysis, testing, production support, and delivery of enterprise software solutions. The role requires Python and broad backend, frontend, database, cloud, API, AI, and machine learning expertise, along with experience integrating AI capabilities into applications and workflows.

Designs, develops, operates, and scales secure data platforms, backend systems, pipelines, and distributed services. Provides technical leadership, reviews code, influences architecture, and serves as a subject matter expert in data processing, storage, and reliability. Leads enterprise adoption of AI-assisted engineering and SDLC automation by establishing governance, security controls, quality gates, and measurable outcomes. Collaborates across global teams and promotes scalable engineering practices and technologies.

Develops comprehensive validation plans and Python-based automation for firmware, BIOS/UEFI, iLO products, and server platforms. Executes system-level qualification, analyzes defects, supports release readiness, and collaborates with quality, development, and outsourced teams throughout the software testing lifecycle. The role also applies AI and GenAI tools, including GitHub Copilot, to improve test design, debugging, and automation productivity.

Develops and operates reliable, scalable applications and platforms for a financial institution. Responsibilities include coding, incident response, root-cause analysis, toil reduction, observability, SLO monitoring, alerting, CI/CD, container orchestration, networking troubleshooting, and secure use of enterprise-authorized AI for incident triage and reliability improvements.

Design and validate large-scale network topologies for software releases, investigate field issues, support customer proofs of concept and escalations, and develop Python-based test automation. The role requires deep expertise in IP routing, multicast protocols, network architectures, traffic-generation tools, and service-provider, cloud, and data-center deployments. AI/ML-based testing experience is also valued.

Designs and builds automated operational workflows for Akamai’s global backbone and network infrastructure. Responsibilities include reducing manual toil, improving observability and telemetry, developing maintainable software with CI/CD and test-driven practices, and deploying cloud-native third-party systems using Infrastructure as Code. The role requires programming, scalable full-stack development, Kubernetes, microservices, DevOps, database, monitoring, dashboarding, and alerting experience.

Designs, builds, and maintains high-volume mainframe business logic while modernizing legacy systems for cloud and mobile integration. Responsibilities include performance optimization, debugging complex system interactions, testing, extracting business logic for migration, and developing scalable software using modern architectures, databases, APIs, containers, and messaging systems.

Design and develop Android remote-control applications that communicate with external devices using Bluetooth Classic and BLE. Build intuitive control interfaces, ensure secure and reliable connectivity, optimize performance and battery usage, and collaborate with hardware engineers on integration and testing. The role requires strong Kotlin and Java expertise, Android SDK knowledge, Bluetooth troubleshooting, asynchronous programming, JSON serialization, concurrency, and familiarity with Android Automotive technologies.

Develops, tests, troubleshoots, and maintains secure, scalable software within an agile Asset and Wealth Management team. Writes Python or Java code, works with databases and large datasets, supports application resiliency and security, and participates across the software development lifecycle. Uses enterprise-authorized AI-assisted development tools responsibly for coding, testing, troubleshooting, and documentation. Preferred experience includes high-performance Python, Redis, Kafka, specialized time-series databases, and AWS.

Develop scalable backend cloud applications and distributed systems using modern software engineering practices. Responsibilities include technical design, coding, debugging, testing, troubleshooting, system optimization, secure development, feature ownership, and technical collaboration. The engineer will apply data structures, algorithms, cloud architecture, AI coding assistants, and agile development practices while contributing to product adoption and coaching others.

Develop scalable cloud applications and high-quality, secure software. Responsibilities include technical design, coding, debugging, testing, troubleshooting, system optimization, feature delivery, product adoption tracking, and advocating for customer-focused enhancements. The role requires applying software development lifecycle and agile practices, using AI coding assistants to accelerate development, and collaborating with engineering leaders and teams.

Develop scalable cloud applications and distributed systems using Java, Golang, Python, or C/C++. Responsibilities include software design, coding, debugging, testing, troubleshooting, system optimization, secure development, and feature ownership. The role also involves applying agile engineering practices, using AI coding assistants, tracking product adoption metrics, advocating for customer-focused features, and potentially leading small-to-medium features.

Develop and execute automated and manual tests for automotive infotainment systems. Build Python-based test frameworks, validate multimedia, connectivity, navigation, HMI, Bluetooth, Android Auto, and Apple CarPlay features, and perform functional, integration, regression, and end-to-end testing. Analyze requirements, debug defects, conduct root-cause analysis, manage test campaigns, and collaborate with development teams in Agile processes. Produce test plans, quality metrics, reports, and release documentation.

Develops and executes automated and manual tests for automotive infotainment systems. Responsibilities include building Python test frameworks, validating multimedia, connectivity, navigation, HMI, Bluetooth, Android Auto, and Apple CarPlay, executing hardware and simulator test campaigns, analyzing defects, supporting root-cause resolution, and producing quality metrics and release documentation within Agile teams.

Develop scalable cloud applications and high-quality software through coding, debugging, testing, troubleshooting, and system design. Lead small-to-medium features, optimize architecture, apply secure and privacy-focused development practices, use AI coding assistants, track product adoption metrics, and collaborate across teams while contributing to agile engineering and continuous improvement.

Lead reliability, scalability, and operations for Kubernetes-based production and air-gapped deployments. Own installation, upgrades, observability, automation, incident response, performance tuning, and internal tooling using Python/Go. Collaborate with engineering and customers to design secure, scalable deployment architectures and manage infrastructure via Terraform and cloud platforms.

Lead backend architecture and development of highly available Python/FastAPI systems powering company-wide AI features. Own technical decisions, build and maintain an MCP gateway, deploy and troubleshoot AWS services, design scalable data models and database schemas, implement secure API patterns, write tests and documentation, and provide code reviews. The role requires independent problem-solving in an ambiguous environment and collaboration with backend, frontend, and data science engineers.