Top Python Developer Jobs in Bangalore

Builds and operates reliable, scalable applications and cloud infrastructure for employee platforms. Responsibilities include infrastructure and configuration as code, CI/CD pipeline development, observability, SLO-based monitoring, incident triage, troubleshooting, and proactive reliability improvements. The role collaborates with software engineers and stakeholders, applies SRE best practices, validates enterprise-authorized AI recommendations, and mentors or guides teammates on reliability and operational excellence.

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.

Develop and maintain scalable Python backend services and React.js interfaces within an AWS microservices environment. Design reusable components, optimize application performance, conduct code reviews, and collaborate with product, design, and engineering stakeholders. Use enterprise-authorized AI-assisted development tools responsibly for coding, testing, documentation, and automation while validating security and quality. Translate business requirements into technical solutions and stay current with full-stack engineering practices.

Principal Software Engineer responsible for designing scalable software frameworks, writing and reviewing secure production code, and leading cloud-native data platform development. The role architects and governs agentic AI-enabled engineering workflows, establishes responsible AI and security guardrails, advises cross-functional teams, and serves as a technical subject matter expert. It requires strong Java or Python expertise, system design and application development experience, cloud and data platform knowledge, executive communication skills, and leadership in adopting AI-assisted development practices.

Leads complex, large-scale software engineering initiatives; designs, codes, tests, debugs, documents, and reviews technology solutions. Establishes engineering standards, technical strategies, and architecture roadmaps while driving delivery across teams. Builds cloud-native distributed systems, mentors engineers, collaborates with technical stakeholders, and supports platform reliability, observability, incident management, security, and operational excellence.

Lead development and operational support for Python products within a network automation team. Design, build, test, troubleshoot, and maintain secure, resilient microservices and APIs. Guide code reviews, automated testing, AI-assisted engineering practices, vendor evaluations, data modeling, integrations, and remediation automation. Collaborate with stakeholders and global technology teams while applying cloud-native, agile, CI/CD, security, and application resiliency practices.

Designs and maintains automated test frameworks using Python, ROBOT Framework, and Selenium. Integrates testing into CI/CD pipelines, validates databases and APIs, executes cross-platform tests in cloud environments, analyzes defects, and improves test coverage. The role collaborates with product teams, mentors junior QA engineers, and applies AI tools, prompt engineering, and modern cloud and DevOps practices to enhance testing and development quality.

Leads full-stack software engineering within an agile team, designing, developing, testing, troubleshooting, and maintaining secure, scalable production applications. Builds solutions using Python, Django, React, and relational databases; reviews code; improves operational stability; applies cloud-native and CI/CD practices; and promotes responsible AI-assisted development, automation, resiliency, and security. Evaluates vendor and internal architectural solutions while coaching teams on secure, compliant AI tool adoption.

Leads the design, development, and operation of secure, scalable Python and Flask services, REST APIs, and cloud applications. Provides architecture leadership, code reviews, debugging, production support, and technical direction across teams. Builds on GAP and AWS, works with SQL and CockroachDB, performs data analysis, and governs responsible AI-assisted engineering practices.

Configures, deploys, monitors, and optimizes applications and cloud infrastructure for high availability, reliability, and scalability. Builds CI/CD pipelines, automates provisioning with AWS CloudFormation and Terraform, integrates AWS services, and supports Docker and Kubernetes environments. Responds to production alerts, performs incident triage, conducts smoke tests, and provides L1/L2 production support. Uses observability tools, analyzes capacity and performance, troubleshoots issues, and collaborates with development teams on application onboarding and operational improvements.

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.

Designs and maintains manual and automated tests for embedded firmware, BIOS/UEFI, and server platforms. Responsibilities include creating test plans, executing validation and release qualification, debugging firmware issues, analyzing system designs, improving test methodologies, and collaborating with engineering partners. The role uses Python-based automation and requires understanding of embedded Linux, device drivers, system architecture, communication protocols, SDLC, and Agile practices.

Leads backend software engineering for secure, scalable, and resilient applications within an agile Asset and Wealth Management team. Designs microservices and cloud-native solutions, writes and reviews production code, resolves technical issues, and supports zero-downtime releases. Establishes AI-assisted engineering governance, automation, testing, and secure development practices. Provides technical guidance, serves as a subject matter expert, influences architecture and operations, and mentors teams while advancing software development lifecycle standards.

Leads software engineering within an agile team, designing, developing, testing, troubleshooting, and reviewing secure production code. Drives automation, operational stability, architectural evaluations, technical communities of practice, and adoption of emerging technologies. Requires strong Python development, cloud-native experience, CI/CD, software design, object-oriented programming, application resiliency, security, and financial services technology knowledge.

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.

Own the CVIS/NVIS release lifecycle for AI cluster software, driving Jenkins-based integration and end-to-end automated testing through release qualification and readiness. Develop measurable tests, acceptance criteria, and release gates covering GPU, NCCL, networking, workloads, performance, interoperability, and reliability. Debug Linux-based compute, GPU, network, and storage issues, track feature readiness, and provide reproducible, traceable evidence for engineering, support, and customer stakeholders.

Build and maintain eBay’s Python developer platform, including core modules, automated releases, upgrades, container images, observability, security integrations, and AI developer tools. Support internal engineers, troubleshoot platform issues, improve documentation and automation, and own software throughout its testing, deployment, operation, and support lifecycle.

Own backend and infrastructure architecture while developing Python and PHP services, APIs, authentication integrations, and database solutions. Design and maintain GCP infrastructure, Docker environments, CI/CD pipelines, monitoring, security, backups, and disaster recovery. Lead technical decisions, cloud optimization, incident response, documentation, and collaboration with frontend teams on headless CMS and SaaS deployments. Advise stakeholders on technical approaches, costs, risks, and estimates while mentoring engineers and supporting client-facing initiatives.

Design, develop, optimize, and validate high-performance broadband subscriber forwarding software for Cisco Silicon One hardware and IOS-XR platforms. Build L2/L3 and subscriber features, integrate with the BNG control plane, and own unit, integration, system, scale testing, and automation. The role also involves debugging, quality ownership through release, mentoring junior engineers, and applying AI-assisted development practices.

Develop and maintain Python applications, automation tools, data platforms, and system integrations supporting production and business workflows. Build REST API integrations, improve reliability, troubleshoot defects, provide application support, and collaborate with global stakeholders. The role also contributes to architecture, testing, code reviews, documentation, release coordination, and technical process improvements.

Own quality validation for Cisco IOS XR routing, platform infrastructure, optics, and Layer 0/1 capabilities. Design comprehensive functional, scale, performance, resiliency, interoperability, and high-availability tests; build Python automation with pyATS or Genie; investigate system failures; maintain complex test environments; integrate testing into CI/CD; validate model-driven interfaces and telemetry; mentor engineers; and provide evidence-based release recommendations.

Designs and operates secure container platforms across Kubernetes and OpenStack. Responsibilities include managing container images and vulnerabilities, building Python automation and CI/CD pipelines, troubleshooting Linux and container infrastructure, validating security patches, and collaborating with engineering, QA, and security teams. The role also uses AI coding assistants and infrastructure-as-code tools to improve platform reliability, security, and release readiness.

Lead development, testing, deployment, and maintenance of cloud-native supply chain software using Python, Django, microservices, and Azure. The role designs scalable services, translates requirements into user stories, troubleshoots incidents, improves reliability and security, automates operations, and collaborates with stakeholders and Agile teams. It requires strong hands-on software engineering, architecture, DevOps, infrastructure automation, secure cloud configuration, and enterprise application experience.

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.

Maintain and secure Red Hat Linux environments, manage patching and upgrades, build and deploy Docker containers, and automate administration with shell scripts and Ansible. Provide technical leadership, mentor team members, improve platform architecture, lead incident response and root cause analysis, and oversee complex project delivery. Collaborate with stakeholders on platform roadmaps and use Kubernetes, cloud infrastructure, and GitOps practices.