Top Python Jobs in Bangalore

Design, develop, and maintain software tools and automation for large-scale data center networks. Collaborate with network infrastructure engineers to maintain network automation and monitoring platforms, support scalable network architectures, participate in code reviews, and use AI coding tools for rapid prototyping. The role requires programming experience in Go or Python, Linux familiarity, networking knowledge, and exposure to CI/CD, containers, observability, automation frameworks, and version control.

Leads Systems Operations teams supporting platform and production systems. Responsibilities include managing technical staff, influencing stakeholders, overseeing monitoring and maintenance, conducting network and security assessments, managing risk initiatives, ensuring incident communications, allocating resources, and developing operational policies. The role requires systems engineering and technology architecture expertise, leadership experience, and knowledge of ITIL, automation, cloud, observability, CI/CD, programming, databases, messaging, and infrastructure platforms.

Design and build scalable SDET testing infrastructure for data connectors, parsers, and ingestion platforms. Develop reusable testing frameworks, CI/CD integrations, AI-powered test generation, monitoring and reporting systems, utilities, and testing standards. Lead technical architecture decisions while ensuring quality, reliability, and accuracy across distributed systems. The role requires programming expertise in Python or Go, cloud platform experience, containerization, orchestration, and scalable automation framework development.

Leads global production management and technology support teams responsible for service availability, resiliency, performance, security, and operational excellence. Establishes SRE practices, observability standards, incident governance, automation, CI/CD, disaster recovery, and AWS resiliency strategies. Oversees major incident response, root-cause remediation, IAM controls, compliance evidence, capacity planning, and executive reporting. Partners across engineering, security, infrastructure, and business teams while governing safe, auditable AI use in production support workflows.

Provides pre- and post-sales WLAN consulting, design, implementation, migration, troubleshooting, and optimization for Aruba networking solutions. Creates requirements, network designs, installation and migration plans, and customer review materials. Resolves technical issues, simulates designs in labs, develops knowledge-base content, and collaborates with customers, partners, QA, engineering, and field teams. The role requires customer-site travel, strong communication, independent work, and expertise in Aruba products, authentication, wireless networking, VoIP, routing, switching, and security.

Develop and maintain software testing strategies, plans, executions, and automation frameworks for HPE Hybrid Cloud products. Build Python-based automation tools, perform functional, regression, scale, and data-path testing, troubleshoot complex issues, and collaborate with distributed Agile teams. The role requires knowledge of system engineering, AI workflows, storage technologies, networking, containerization, CI/CD, Linux, and virtualization environments.

Leads a DevOps team delivering automation and platform solutions for Ericsson’s 4G and 5G customer environments. Responsibilities include performance monitoring, troubleshooting, system design, platform management, CI/CD automation, infrastructure and service lifecycle management, reliability improvements, and live-node support. The role requires expertise in cloud-native systems, Kubernetes, Python, Bash, Ansible, operating systems, public cloud platforms, DevOps pipelines, security tooling, and Agile methodologies.

Lead the DevOps organization’s cloud, automation, CI/CD, release engineering, and platform strategy. Manage and mentor engineers while designing secure, scalable Azure and AWS environments, infrastructure-as-code solutions, deployment pipelines, serverless architectures, API platforms, and Python tooling. Drive reliability, observability, DevSecOps, incident management, governance, and cost optimization initiatives.

Administer and support Magna’s engineering IT systems, including CAD/CAx environments, virtual desktops, license servers, PLM systems, hardware, software, operating systems, and networking. Troubleshoot technical issues, maintain system security and performance, support engineering users onsite and remotely, collaborate across IT and engineering teams, and develop PowerShell, Python, and batch-script automation.

Designs, builds, and operates backend platforms, Kubernetes infrastructure, distributed services, and cloud-native systems at scale. The role owns platform initiatives from architecture through deployment, improves CI/CD and engineering quality, collaborates with product, AI, and security teams, and mentors engineers. Responsibilities also include integrating applied AI tooling, developing infrastructure-as-code, and driving reliability, performance, observability, and engineering productivity.

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.

Build and own full-stack features for an AI solution registry using Next.js, React, TypeScript, and backend services. Develop LLM agents, MCP servers, APIs, integrations with enterprise chat and search platforms, governance workflows, and evaluation tooling. Create secure, auditable experiences across web and agent channels while partnering with platform, security, and governance teams. Responsibilities span data modeling, API design, frontend development, cloud deployment, observability, and end-to-end feature ownership.

Administer and optimize Nutanix hyperconverged infrastructure, including AHV clusters, storage, networking, replication, disaster recovery, security, upgrades, and capacity planning. Automate operations with PowerShell, Python, REST APIs, and Calm; integrate Nutanix with Azure; lead VMware and Hyper-V migrations; and provide L3 support, root-cause analysis, and incident resolution.

Operate and improve large-scale Kubernetes platforms across public clouds, custom data centers, and business-critical Linux environments. Responsibilities include incident response, cluster upgrades, capacity changes, monitoring, alerting, Go-based automation, platform reliability improvements, tooling evaluation, documentation, mentoring, and cross-time-zone on-call support. The role also involves using AI technologies to improve operational workflows and decision-making.

Build and maintain infrastructure automation, VM lifecycle workflows, patching, configuration management, CI/CD pipelines, self-healing tools, and proactive alerting. Administer and troubleshoot Linux servers, virtualization platforms, storage, networking, and logs. Support cloud orchestration integrations, document infrastructure as code, contribute to design reviews, and improve platform reliability through permanent automation and engineering solutions.

Build and maintain infrastructure automation, infrastructure-as-code, VM lifecycle workflows, CI/CD pipelines, self-healing automation, and proactive alerting. Administer and troubleshoot Linux servers, virtualization platforms, storage, networking, and logs. Support cloud orchestration integrations, improve platform reliability, and maintain documentation, architecture diagrams, and runbooks for HPE’s private cloud and CloudOps environments.

Build, test, and maintain People systems automations and integrations across Workday, Greenhouse, Slack, Workato, Google Cloud, and internal tools. Develop Ruby or comparable scripting solutions, Slack apps, AI-powered workflows, and reliable CI/CD deployments. Monitor integration health, troubleshoot failures, follow security and SOX controls, and collaborate with People Technology, Security, IT, and AI Engineering teams. Use AI, LLMs, and MCP frameworks to streamline People operations and improve employee experiences.

Leads the design, implementation, and optimization of CI/CD pipelines for on-premises and public cloud environments. Develops infrastructure-as-code solutions, automates provisioning and deployment, manages containerized environments, troubleshoots build and release issues, and collaborates with development, QA, and operations teams. The role also includes mentoring junior engineers, participating in code reviews, defining architectural standards, and driving improvements in reliability, scalability, and deployment efficiency.

Designs and delivers end-to-end telecom and IT Service Assurance solutions, including requirements analysis, enterprise integration, implementation, deployment, customer acceptance, and operational handover. Leads architecture reviews, delivery projects, governance, risk mitigation, stakeholder engagement, automation, and continuous improvement. The role requires expertise in OSS/BSS integration, monitoring and observability, cloud and virtualized environments, event-driven architectures, containers, and multiple programming and database technologies. It also includes mentoring engineers, technical consulting, solution estimation, and customer-facing leadership.

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.

Own and operate virtualized infrastructure, IaaS platforms, and cloud environments supporting CrowdStrike’s software factory. Lead Infrastructure as Code and configuration management using Terraform, Packer, and Ansible; support migration from VMware to KVM-based private cloud; build automation and tooling; maintain monitoring, reliability, and resilience; troubleshoot incidents; participate in on-call; and document processes and review infrastructure code.

Designs and develops complex embedded flight-control and avionics systems. Responsibilities include creating system and software requirements, MATLAB/Simulink/Stateflow modeling, system integration, troubleshooting, flight testing, verification and validation, technical reviews, certification processes, and stakeholder coordination. The role also supports innovation, technical documentation, patents, and execution across global teams.

Leads development of enterprise cloud-native applications, APIs, microservices, AI-enabled systems, data pipelines, and full-stack solutions. Builds Java and Python backend services with React, Angular, or Next.js front ends; integrates Azure, Databricks, Snowflake, Spark, and Adobe platforms. Establishes CI/CD and infrastructure automation using GitHub Actions and Terraform, deploys with Docker and Kubernetes, and ensures secure, scalable, high-quality delivery. Provides technical leadership, architecture guidance, mentorship, production support, and cross-functional collaboration.

Leads customer-facing SSD technical activities, including complex issue resolution, debugging, root cause and failure analysis, qualification, platform integration, deployment, production ramp, sustaining support, performance testing, and interoperability validation. Owns firmware release management, technical documentation, diagnostic tools, customer communications, training, and Design-for-Debug initiatives. Coordinates cross-functional engineering and customer organizations while translating feedback into product improvements, readiness plans, and roadmap recommendations.

Leads architecture, integration, deployment, and operation of multi-cloud solutions across AWS and GCP. Builds infrastructure with Terraform and Ansible, develops automation in Python or Go, and manages Kubernetes, Docker, Linux, observability, incident response, SLOs, and 24x7 production support. Partners with customers and engineering teams to troubleshoot and improve highly available services. AI/LLM platform, Jenkins/Groovy, and backend development experience are advantageous.