Top Python Jobs in Bangalore

Leads the design, development, deployment, and optimization of scalable software systems and services. Drives feature development, architectural decisions, code quality, production troubleshooting, and engineering best practices. Mentors junior engineers, conducts code reviews, collaborates on technical strategy, and promotes continuous learning and team effectiveness across Tekion’s cloud-native automotive platforms.

Leads the design, operation, and modernization of secure, scalable Azure and AWS cloud platforms. Owns Kubernetes and AKS architecture, Infrastructure as Code, CI/CD, GitOps, observability, networking, reliability, and cloud cost optimization. Builds reusable platform patterns, supports .NET and AI/ML workloads, establishes governance and automation, and mentors engineers while partnering with software, architecture, security, and product teams.

Develop and support Informatica MDM solutions, including Product 360 and Reference 360. Design data models, mappings, validation rules, interfaces, workflows, reports, and integrations. Create technical documentation and perform data quality, integration, business logic, and remediation testing. Configure repositories and security, support ActiveVOS workflows, install and upgrade PIM systems, and troubleshoot data anomalies and integration issues while partnering with business and governance teams.

Architect and develop scalable web services, distributed systems, dashboards, databases, ETL pipelines, and Python quantitative libraries supporting portfolio management, trading, market monitoring, alpha generation, and risk management. The role requires strong software design, quantitative reasoning, high-efficiency programming, multithreading, SQL, and financial-services experience.

Develop scalable web services, front-end dashboards, Excel tools, data pipelines, ETLs, and quantitative Python libraries supporting portfolio management, trading, alpha generation, and risk management. The role also promotes software engineering best practices and requires strong quantitative reasoning, database knowledge, communication, and financial services experience.

Designs, implements, and maintains enterprise F5 LTM and GTM load-balancing and DNS infrastructure. Develops Python and Ansible automation, performs certification and lab testing, troubleshoots complex network issues, and improves performance, stability, security, and availability. Collaborates with architects, developers, and operations teams while supporting monitoring, documentation, traffic management, and infrastructure initiatives.

Designs, builds, and maintains infrastructure automation using Python and Ansible. Manages F5 load balancers, APIs, infrastructure-as-code provisioning, certification and testing frameworks, and critical application delivery infrastructure. The role includes Linux administration, networking, troubleshooting, code reviews, lifecycle management, stakeholder collaboration, and mentoring junior engineers in a scalable enterprise environment.

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 collaborate with developers, DevOps, QA leads, and product owners. Mentor junior engineers and support quality initiatives across CRM, e-commerce, ERP, AI, and service operations platforms.

Owns the architecture and governance of enterprise data ingestion and integration platforms. Defines scalable batch, streaming, API, and event-driven frameworks; establishes engineering standards for APIs, schemas, testing, CI/CD, observability, reliability, and security; leads complex design reviews; mentors distributed software and data engineering teams; and develops reusable lakehouse patterns, libraries, and platform components.

Develop and maintain manual and automated UI, API, and backend tests for cloud-native SaaS services. Build reusable testing utilities and infrastructure, execute test suites across environments, analyze failures, and integrate automation into Jenkins and cloud-based CI/CD systems. Collaborate with distributed engineering teams on test strategies, functional validation, regression testing, test data, and environment configuration. Explore AI-assisted automation and support quality throughout the software development lifecycle.

Senior Site Reliability Engineer responsible for designing and maintaining scalable infrastructure, deployment processes, monitoring platforms, and automation for distributed systems. The role improves reliability, performance, observability, and operational efficiency through Linux administration, scripting, infrastructure as code, CI/CD, Kubernetes, cloud platforms, and monitoring tools. The engineer collaborates with internal teams to resolve technical challenges, safely deploy software, and drive continuous improvement.

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 collaborate with developers, QA, DevOps, and product teams. The role also includes code reviews, mentoring, and supporting large-scale CRM, e-commerce, ERP, AI, and service operations initiatives.

Lead strategy, architecture, and modernization of enterprise software delivery platforms (GitHub Enterprise, Azure DevOps, Nexus). Drive CI/CD standards, migrations, developer self-service, supply chain security, observability, and resilient platform operations. Mentor teams, define governance and IaC practices, and partner with security and exec leadership to improve developer productivity and platform reliability.

Develop and validate GPU graphics, media, display, and compute software across pre-silicon and post-silicon stages. Build automated tests, validation tools, and AI/ML solutions for kernel-mode drivers, memory managers, virtualization, performance, power, and debuggability. Collaborate with hardware, operating system, BIOS, and software teams while contributing to GenAI, LLM, RAG, and agentic workflow applications.

Manages secure data-transfer technologies through installation, configuration, monitoring, testing, migration, maintenance, and troubleshooting. Supports Windows and Linux systems, networks, firewalls, databases, APIs, encryption, and cloud environments. Resolves customer and vendor issues, monitors infrastructure performance, manages tickets, develops administrative procedures, and collaborates on initiatives. Creates scripts and AI prompts to automate routine processes while validating agentic AI output and behavior.

Lead hands-on software development across scalable SaaS applications, microservices, APIs, event-driven workflows, and AI-enabled systems. Design agentic AI workflows using LLMs, tools, APIs, data sources, structured outputs, and workflow state. Lead feature delivery, modernize legacy systems, mentor engineers, establish AI-assisted development practices, and partner on architecture, security, observability, CI/CD, deployment, and production support. Build containerized applications with Docker and Kubernetes using relational and NoSQL databases in cloud environments.

Build and deploy scalable CI/CD pipelines, Azure infrastructure automation, APIs, web UIs, and reusable operational tools. Implement Infrastructure as Code with Bicep, embed observability and reliability, codify runbooks, and collaborate with platform engineering, security, and operations teams to reduce toil and improve MTTR. The role supports cloud or network platform operations at scale and requires daily collaboration with U.S. stakeholders during overlapping hours.

Lead cloud architecture and full-stack development for an enterprise SaaS platform. Own AWS architecture, backend services, REST APIs, frontend standards, containerization, CI/CD, security, scalability, and reliability. Mentor engineers, conduct code reviews, guide technical decisions, and partner with product, data science, and analytics teams to productionize AI and ML capabilities. Establish responsible AI-assisted development practices and contribute to hiring, onboarding, and team capability development.

Automates Azure platform deployments and operations through CI/CD pipelines, APIs, scripting, infrastructure as code, and cloud tooling. Builds self-service workflows, embeds observability and reliability controls, manages RBAC and secrets, supports Kubernetes and networking integrations, and troubleshoots validation labs and production platform issues. Collaborates with platform engineering, security, and operations teams to improve scalable deployments and ongoing upgrades.

Build and maintain full-stack SaaS features across Angular or other frontend technologies, Python backend services, REST APIs, databases, testing, and deployment workflows. Responsibilities include translating requirements into production-ready software, troubleshooting issues, contributing to CI/CD, participating in Agile ceremonies and code reviews, and collaborating with engineering, product, QA, and cross-functional teams. The role requires strong ownership, maintainable coding practices, and effective use of AI-assisted development tools.

Develop and maintain automation for 5G standalone mobile packet core certification across lab and production environments. Build end-to-end and CLI health-check tests using ANT, create Azure DevOps YAML pipelines, manage scripts and infrastructure deployments, and troubleshoot telecom mobility networks. Collaborate with development, platform, testing, and infrastructure teams in Agile environments while tracking requirements and deliveries in Jira. The role requires deep 3GPP, cloud, Kubernetes, networking, Python, and CI/CD expertise.

Designs, implements, and optimizes infrastructure monitoring and observability solutions across distributed, cloud, and on-premises environments. Configures monitoring platforms, metrics, dashboards, and alerting; troubleshoots service checks; and improves automation, standardization, reliability, and user experience. Collaborates with infrastructure, application, business, observability, and supplier teams while maintaining monitoring standards, documentation, governance, and compliance.

Designs and optimizes high-performance analog and mixed-signal circuits for SerDes, memory interfaces, and advanced process nodes. Responsibilities include circuit simulation, parameter extraction, test planning, post-layout validation, post-silicon debugging, and optimization for power, area, timing, yield, and reliability. The role collaborates with architecture and layout teams, improves design methodologies, and uses industry-standard EDA tools.

Owns the design and delivery of medium-to-large software features and services across backend, frontend, AI, and automation. Builds Java or Python microservices, React and TypeScript applications, event-driven systems, and cloud infrastructure. Drives system reliability, scalability, security, performance, observability, and production troubleshooting. Partners with product stakeholders, contributes to architecture and technical planning, conducts reviews, and mentors junior engineers. Develops AI-enabled capabilities, workflow automation, RAG applications, and intelligent search solutions.

Design, build, and operate Okta’s internal developer platform, including CI/CD pipelines, build and test orchestration, Kubernetes workloads, and multi-cloud infrastructure across AWS, GCP, and Azure. Improve the performance, scalability, cost, and reliability of distributed compute jobs. Serve as a technical leader, architect, mentor, and hands-on engineer while creating self-service tools for internal developers.