Top Python Developer Jobs in Bangalore

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.

Lead development of secure, scalable software using Python, Django or Flask, and React. Designs, tests, troubleshoots, reviews, and delivers production code while improving operational stability. Leads adoption of approved AI-assisted engineering tools, establishes validation and security standards, coaches engineers on responsible AI use, and evaluates vendor and architectural solutions. Requires strong SDLC, agile, CI/CD, application resiliency, security, cloud-native, and financial services expertise.

Develop secure, high-quality software and supporting infrastructure for Chase UK’s digital banking platform. Responsibilities include system design, application development, testing, troubleshooting, CI/CD and developer-experience improvements, architecture documentation, data analysis, and operational stability. The role also involves Atlassian SaaS administration, SSO and SCIM integrations, and Terraform-based infrastructure provisioning while collaborating with distributed engineering teams.

Develops, troubleshoots, and maintains secure, scalable software within an agile Payments Technology team. The role involves Python development, observability using OTel and Dynatrace, SDLC practices, AI-assisted coding, data analysis, microservices, AWS deployments, Terraform, and relational databases. Responsibilities include writing high-quality code, addressing technical issues, considering system dependencies, and contributing to resilient application development.

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.

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.

Lead design and development of scalable AI-enabled applications. Own end-to-end AI/ML solution lifecycle, architect backend services (Python/FastAPI, Java/Spring), build React front-ends, deploy cloud-native solutions (Azure/GCP), implement DevOps/CI-CD, optimize real-time performance, support production, and collaborate with stakeholders on technical designs and testing.

Leads software engineering delivery within an agile team, designing, developing, testing, debugging, and supporting secure, scalable applications. Establishes effective and responsible AI-assisted engineering practices, including code generation, review, testing, troubleshooting, and validation. Automates recurring remediation, improves operational stability, evaluates vendor and startup technologies, and contributes to AWS web application development, Java engineering, cloud deployments, DevOps, and machine learning or LLM integrations.

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.

Develop and maintain scalable Python test automation frameworks for cloud security products. Collaborate with engineering teams, test software at scale, troubleshoot complex production customer issues, and provide debugging insights. Integrate automated test APIs into Jenkins and GitLab CI/CD pipelines while building tools that improve testing workflows and engineering productivity. The role also involves diagnosing networking, cloud infrastructure, HTTP/HTTPS, and TLS issues.

Develop secure, high-quality software and infrastructure for Chase UK’s digital banking platform. Responsibilities include developer tooling, CI/CD enablement, system design, application development, troubleshooting, architecture documentation, data analysis, operational stability, and participation in engineering communities. The role requires experience with cloud services, infrastructure as code, container orchestration, modern programming languages, testing, Agile methodologies, and the software development lifecycle.

Design, optimize, and maintain resilient backend services and database infrastructure. Develop automation and tooling in Python and Perl, build high-performance applications in Java/C++, administer Linux systems, troubleshoot performance issues, manage or interface with relational/in-memory databases, and use Git for collaboration.

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.

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

Leads software release engineering for endpoint cloud software across AWS, Azure, and vSphere. Designs CI/CD pipelines, automated testing, deployment and rollback strategies, quality gates, and release processes. Oversees infrastructure reliability, troubleshooting, observability, security compliance, and documentation across platforms. Acts as technical lead, mentors engineers, coordinates cross-functional releases, and drives automation and continuous improvement.

Develop and test control-plane and data-plane software for Cisco IOS XE switching, routing, wireless, and IIOT products. Design scalable system components, write technical specifications, diagnose complex issues, and improve engineering processes. The role requires strong C/C++ development, networking systems expertise, Linux or RTOS experience, and familiarity with networking protocols. Experience with Python-based network diagnostics, OpenAI APIs, RAG, and MCP tools is also required.

Individual contributor responsible for designing test strategies and plans, developing automated test frameworks, and validating networking and software products across functional, performance, scalability, and end-to-end scenarios. The role requires network protocol expertise, hands-on automation using Python or related scripting languages, API and web testing, performance testing, debugging, defect tracking, and collaboration with engineering, services, and field teams throughout the product lifecycle.

Build and own full-stack features using React or Angular, Python, FastAPI, AWS, and multiple database technologies. Develop conversational AI and agentic applications with RAG, text-to-SQL, MCP integrations, streaming, guardrails, and observability. Use AI coding agents, review code, lead technical design, mentor engineers, and partner with product, data science, and business stakeholders. The role requires production software engineering experience, strong technical judgment, and ownership from front end through data layer.

Develop full-stack applications using Python and modern front-end technologies. Responsibilities include designing client and server architecture, building responsive interfaces, managing databases, creating APIs, testing and debugging software, implementing security protections, deploying to cloud platforms, documenting solutions, and collaborating with product, development, data science, and analytics teams.

Lead backend and cloud-native development while owning CI/CD, infrastructure automation, deployments, reliability, and observability. Build microservices and automated workflows for Azure AI Foundry model and agent lifecycles. Provision infrastructure with Terraform, deploy containerized workloads to AKS using Helm, implement monitoring and testing, troubleshoot production systems, and optimize performance, cost, and security. Collaborate across engineering, cloud, AI, QA, and operations teams using Agile practices.

Develop, test, deploy, maintain, and support software solutions using Java, Python, Node.js, and cloud or related technologies. Collaborate with cross-functional and testing teams, prepare technical specifications, participate in code reviews, resolve technical issues, and follow Agile, Scrum, and SDLC practices. Contribute to reliable releases, documentation, security, performance, scalability, and process improvements while evaluating emerging technologies.

Designs, deploys, configures, and validates Cisco wireless solutions across current and emerging Wi-Fi standards, including Wi-Fi 8. Develops Python and AI/ML-enhanced test automation, test plans, monitoring tools, and productivity solutions. Troubleshoots wireless performance, roaming, interference, latency, and packet loss; performs root cause analysis; supports presales, customer transitions, documentation, and knowledge transfer; and mentors less experienced engineers.

Design and develop scalable Kubernetes platforms supporting microservices, AI/ML, LLM, and GPU workloads. Build backend services and infrastructure automation using Go or Python, implement IaC and CI/CD, improve observability and reliability, and support production ML workflows. Participate in on-call operations, incident response, code reviews, technical decision-making, and mentoring. Collaborate with SREs, data scientists, and engineering teams to optimize distributed systems and AI platforms.

Designs and executes automated and manual tests for SONiC networking functionality on Broadcom switching platforms. Validates L2/L3 protocols, SAI integration, ASIC drivers, optical modules, performance, scale, and control/data plane behavior. Develops Python and Robot Framework automation, performs deep debugging, collaborates with the SONiC open-source community, and contributes fixes and enhancements.