Top Python Developer Jobs in Bangalore

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 design, build, and maintain secure, scalable software systems; write and review production-quality Python code; drive adoption and safe use of enterprise AI-assisted engineering tools; improve automation, resiliency, and operational stability; evaluate vendors and lead engineering communities of practice within Commercial and Investment Banking.

Lead design and implementation of scalable Python-based, cloud-native backend services. Architect microservices and REST APIs, enforce CI/CD and testing, mentor developers, collaborate with cross-functional teams, and integrate cloud, containerization, and security best practices.

Join an agile Consumer & Community Banking engineering team to design, develop, and troubleshoot secure, scalable software. Write high-quality Python code, use CI/CD and cloud infrastructure (Kubernetes, Terraform, AWS), leverage enterprise AI-assisted development tools responsibly, analyze data, and support application resiliency and operational stability while gaining skills to grow.

Lead design, build, and maintain end-to-end Java or Python full-stack applications with secure APIs and responsive frontends. Embed AI via prompt engineering, ensure CI/CD, observability, and production support, collaborate cross-functionally, and drive adoption of AI-assisted engineering practices and secure development.

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.

Design, implement, and maintain ALM applications and services using Python and Java. Build REST APIs, integrate ALM toolchains, develop frontend components (React/Angular/Vue as needed), implement CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions), optimize performance, support automated testing and deployments, and mentor team members while collaborating with cross-functional teams.

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.

As a Python Developer, you will develop fullstack applications, manage backend systems, and collaborate to drive technical solutions that impact business results.

Lead design and implementation of scalable, fault-tolerant cloud-native microservices, streaming and batch pipelines, and APIs to support rule- and ML-based detection, alert triage, reviewer workflows, observability, CI/CD, and operationalized ML/LLM models for enterprise communications compliance.

Lead engineering work to design, build, and operate production-scale telemetry, resiliency, observability, and automation solutions. Develop secure, high-quality Python code, drive CI/CD and cloud-native practices, adopt AI-assisted development responsibly, and lead technical evaluations and communities of practice to improve operational stability.

Lead technical design and delivery of low‑latency, high‑throughput real‑time Risk/PnL UIs and backend services. Build distributed microservices and event-driven pipelines, integrate APIs with robust error handling and state management, drive observability and production excellence, and champion enterprise-authorized AI-assisted engineering and secure SDLC practices.

Lead design, build, test, deploy, and maintain cloud-native, containerized applications. Work with Golang/Python, Kubernetes/OpenShift, cloud platforms, CI/CD, IaC, observability, and test automation. Mentor engineers, resolve technical challenges, and lead platform engineering initiatives to improve reliability, scalability, and security.

The Sr Software Engineer leads architecture and implementation of ML platforms, optimizes processes, collaborates in a team, and develops quality software. They are responsible for mentoring junior engineers and enhancing software quality.

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.

Design, build, and operate the Kubernetes-based core infrastructure for Nexus Dashboard. Lead cluster lifecycle management, reliability and observability, security and certificate management, and scalability efforts. Develop backup/restore, automated anomaly detection, and test plans. Collaborate with cross-functional teams to optimize performance and deploy microservices at scale using AI-assisted development and modern CI/CD practices.

Design and execute automated functional, integration, regression, and end-to-end tests for cloud networking and SD-WAN products. Build Python-based automation frameworks and backend tools, integrate tests into CI/CD pipelines, validate networking functionality, troubleshoot issues, and collaborate with cross-functional teams to improve product quality and release reliability.

Develop and execute lab-based system and protocol tests for 400G/800G AI data-center fabrics. Configure Linux servers, run NVMeoF/RoCEv2 traffic, capture performance metrics, troubleshoot L2/L3 and RDMA issues, tune kernels/NICs, and produce test plans and reports while collaborating with architects and engineering teams.

The SDET Engineer will develop and execute system tests for a 5G carrier-grade platform, focusing on containerization and automation using Python and various tools. Responsibilities include issue investigation, documentation support, and collaboration with global teams.

Design, build, and enhance scalable cloud-native backend systems. Integrate AI/ML features, develop RESTful APIs, work with microservices, Kubernetes, event-driven pipelines, and CI/CD to deliver secure, high-performance solutions.

Design, build, and maintain scalable backend and full-stack systems, integrate AI/ML features, implement microservices and real-time pipelines, ensure API security and performance, collaborate across product and UX teams, and participate in CI/CD and code quality practices.

Work in a feature team to design, build, test, deploy and maintain high-quality Python services, scripts and tools. Collaborate with engineers, architects and analysts across the software lifecycle to deliver scalable, secure, performant solutions and implement engineering best practices.

Build and maintain the Kubernetes-based Nexus Dashboard platform: architect core infrastructure, manage cluster lifecycle and upgrades, implement reliability/observability, handle security and certificate lifecycle, optimize scalability and performance, and collaborate across teams to support high-scale data center microservices and telemetry stacks.

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.