Top Python Jobs in Bangalore

Develop and support full-stack supply chain applications on Microsoft Azure. Build React/Next.js frontends and Python/FastAPI backend services, REST APIs, secure integrations, database solutions, and event-driven workflows. Integrate with Oracle Fusion, iCertis, and enterprise systems while supporting authentication, AI/search capabilities, production stability, troubleshooting, documentation, code reviews, and Agile delivery.

Own and administer Slurm across NVIDIA’s VLSI compute environment, including cluster configuration, tuning, accounting, node management, automation, health checks, and maintenance. Operate alongside LSF, develop dashboards for throughput and queue performance, and provide hands-on production support, job triage, and escalation handling for design engineers. The role requires strong Linux administration, Python and shell automation, and batch scheduling expertise.

Own the architecture, deployment, automation, and operation of large-scale HPC clusters in Google Cloud and on-premises data centers. Build reproducible infrastructure-as-code, configuration management, image pipelines, and host lifecycle automation. Troubleshoot Linux, networking, storage, boot, quotas, and scheduler issues while partnering with infrastructure teams on cross-site connectivity and performance. Support VLSI and AI workloads across globally distributed environments.

Own the operational health, performance, efficiency, and observability of a large Linux compute farm supporting VLSI design and AI workloads. Diagnose kernel, filesystem, memory, I/O, NFS, and workload issues; improve resource utilization; build telemetry, metrics, dashboards, and license alerts; and provide hands-on operational triage for compute users.

Supports EDA tools and develops automated ASIC design flows for RTL-to-GDS delivery. Responsibilities include logic and physical synthesis, formal verification, timing closure, SDC validation, flow benchmarking, and CAD tool customization using Tcl and Python. The role partners with global business units and EDA vendors to troubleshoot tools, evaluate advanced features, and optimize PPA and timing for advanced process nodes.

Build and operate cloud-scale data integration services that transfer large data volumes with low latency. Responsibilities include designing products, developing build/test/deployment pipelines, managing Hadoop and Spark clusters, resolving service issues, conducting root cause analysis and post-mortems, and owning components from requirements through deployment and ongoing reliability. The role requires data integration or migration experience and strong software design, architecture, scalability, security, and performance skills.

Leads end-to-end quality assurance for web applications through manual and automated testing. Responsibilities include creating test strategies, developing UI and API automation frameworks, testing RESTful APIs and databases, managing defects, integrating tests into CI/CD pipelines, and mentoring junior QA engineers. The role supports Angular, .NET, and Python applications within Agile teams.

Investigate, troubleshoot, and resolve issues across critical business applications using C# and potentially Python. Analyze logs and system behavior, monitor performance, manage incidents, and recommend improvements. Collaborate with cross-functional teams and stakeholders to prioritize system issues, make technical decisions, provide solutions, and maintain system stability. Serve as a subject matter expert, mentor junior team members, and coordinate team activities.

Develop and enhance custom software solutions using Python, modern frameworks, and agile practices. Design scalable applications, lead software development activities, make technical decisions, coordinate cross-functional integration, mentor junior engineers, and improve development processes. The role requires collaboration across teams, software design expertise, version control, testing, debugging, database knowledge, and continuous integration experience.

Develop scalable cloud applications and high-quality, secure software. Responsibilities include technical design, coding, debugging, testing, troubleshooting, system optimization, feature delivery, product adoption tracking, and advocating for customer-focused enhancements. The role requires applying software development lifecycle and agile practices, using AI coding assistants to accelerate development, and collaborating with engineering leaders and teams.

Leads development of cloud-native software, platform automation, APIs, and microservices across hybrid environments. Drives AI- and ML-enabled capabilities, including agent workflows and operational intelligence, using frameworks such as LangChain, LangGraph, PyTorch, and TensorFlow. Provides architectural direction, improves observability and reliability, establishes CI/CD and secure engineering standards, leads production readiness and incident learning, and mentors engineers across multiple teams.

Leads firmware testing for carrier-class optical telecommunications products. Responsibilities include developing test strategies, executing white-box and black-box testing, creating automated test frameworks and optical performance test cases, debugging cross-functional issues, performing root-cause analysis, and supporting sustenance releases. The role requires extensive embedded telecom testing experience, Python automation, optical test equipment expertise, and technical leadership across geographically distributed teams.

Design, build, and operate distributed platform services and APIs using Java, Python, Kubernetes, and cloud-native technologies. Contribute to Spark-based data engineering, AI and agentic capabilities, microservices, event-driven systems, observability, reliability, and production operations. Lead system and code reviews, mentor engineers, and partner with data and ML teams to deliver scalable platform primitives. The role requires strong ownership, technical judgment, security awareness, and operational excellence in a newly formed team.

Leads the Builder Experience and CI/CD Platforms engineering team, setting strategy, managing delivery, guiding architecture, and developing engineers. Oversees scalable cloud-native platforms for build automation, testing, security validation, release management, deployment orchestration, and developer workflows. Partners across product, security, infrastructure, and engineering teams to improve developer productivity, reliability, adoption, and operational efficiency.

Define QA strategies, test plans, release criteria, and functional and integration tests. Build scalable Playwright or Selenium automation frameworks, integrate suites into CI/CD pipelines, analyze system stability and test results, and collaborate with engineering and product teams to resolve defects and clarify requirements. Document quality metrics, bug findings, and release reports while supporting continuous improvement in an Agile/Scrum environment.

Lead the architecture and delivery of simulation and virtual-platform solutions for AI system-on-chip products. Establish methodologies, develop configurable simulation and performance models, enable early software development, and support first-pass silicon success. The role requires deep computer architecture expertise, advanced C++ and Python programming, build-system knowledge, collaboration with software and verification teams, and technical leadership in pre-silicon development environments.

Develop and verify embedded software for ECU reprogramming, bootloaders, and secure over-the-air updates. Responsibilities include implementing authentication, integrity checks, flash programming, activation, rollback, and recovery; developing UDS and DoIP services; integrating memory drivers and update clients; performing unit, bench, integration, robustness, and fault-condition testing; debugging timing, memory, power-loss, communication, and compatibility issues; and maintaining code quality, traceability, and release documentation.

Provides L2 escalation support for end-to-end observability incidents across applications, infrastructure, networks, cloud-native environments, APM, logs, synthetics, and RUM. Performs root cause analysis, configures and tunes Datadog monitors and dashboards, supports major incidents, drives problem management and permanent fixes, automates monitoring tasks, analyzes performance trends, maintains ITSM documentation, and mentors L1 engineers.

Serves as the L3 technical authority for enterprise observability, resolving complex cross-domain incidents and leading root cause analysis. Owns Datadog architecture, monitoring standards, SLOs, dashboards, instrumentation, platform governance, cost optimization, and automation. Defines observability coverage across applications, infrastructure, networks, and cloud-native environments. Leads major incident response, post-incident improvements, capacity and performance insights, stakeholder governance, and mentoring of L1/L2 engineers.

Leads DevOps transformation by designing CI/CD pipelines, automating software delivery, establishing infrastructure-as-code standards, and supporting cloud migration to Microsoft Azure. Collaborates with engineering, SRE, product, and Agile teams to improve reliability, observability, scalability, and deployment efficiency. Supports Java enterprise platforms across on-premise and cloud environments using containers, orchestration, scripting, and automation tools. Provides technical direction, mentoring, standards development, and escalation support across enterprise platforms.

Design and deliver data platform infrastructure for ads metrics alerting, diagnostics, and monitoring. Optimize large-scale streaming and batch pipelines, enhance analysis infrastructure, perform deep data analysis, collaborate with partner teams, and provide operational support and incident resolution.

Develop and maintain scalable data-platform infrastructure for Microsoft Fabric, Azure Synapse Spark, and Cosmos Analytics. Responsibilities include writing maintainable code, debugging, testing, code reviews, security practices, AI-assisted development, partner-team integration, deployments, and on-call customer support. The role requires coding experience and participation in designing reliable, performant distributed systems under guidance.

Leads Walmart’s Big Data engineering organization, setting platform strategy, architecture, roadmap, reliability, scalability, security, and operational standards. Oversees software development across multiple teams, including lifecycle management, DevOps, cloud optimization, observability, and AI/ML-enabled product development. Manages engineering leaders and develops high-performing teams while coordinating cross-functional dependencies, aligning roadmaps, and delivering scalable data platforms for analytics and AI initiatives.

Develop, integrate, test, deploy, operate, and maintain software platforms through the full SDLC. Build high-performance Python backend solutions, troubleshoot test and production issues, collaborate with architects and technical leaders, follow coding standards, and identify product quality improvements in an agile environment.

Develop and maintain reliable, high-throughput, multi-tenant Microsoft Fabric services. Responsibilities include designing and implementing solutions, participating in on-call service support, automating operational tasks, collaborating with product and partner teams, improving operational excellence, and documenting and optimizing data engineering processes and technology.