Top Python Jobs in Bangalore

Leads enterprise software architecture, modernization, cloud transformation, and performance engineering initiatives. Defines architecture standards, designs distributed and microservices-based systems, drives automation and quality engineering, and oversees observability, reliability, production readiness, and complex issue resolution. The role requires hands-on development, performance testing, database expertise, emerging AI technology evaluation, cross-functional technical leadership, stakeholder collaboration, and mentoring across engineering teams.

Support and improve mission-critical messaging platforms and production infrastructure. Responsibilities include Level 3 production support, observability and dashboard creation, monitoring and alerting, scripting and automation, complex troubleshooting, incident and change management, infrastructure documentation, and collaboration with engineering teams. The role participates in global on-call rotations and supports middleware, distributed systems, and multi-tenant production environments.

Leads enterprise infrastructure automation and AI Ops across endpoints, identity, Microsoft 365, cloud, networking, and IT service management. Designs policy-as-code, infrastructure-as-code, CI/CD pipelines, API integrations, telemetry, anomaly detection, and secure automated remediation. Owns Intune and Entra ID architecture, Microsoft 365 governance, access lifecycle automation, and AI-assisted operational workflows. Establishes enterprise standards, mentors engineers, and partners across infrastructure, security, identity, network, cloud, and service desk teams.

Develop and architect high-performance PCIe firmware and driver software for Microsoft's Data Processing Unit. Responsibilities include designing secure PCIe firmware, developing and debugging PCIe issues with protocol analyzers, conducting code reviews, and mentoring engineers. The role requires embedded or operating system kernel development, complex software architecture, PCIe expertise, and proficiency in systems programming languages.

Designs and develops end-to-end robotic process automation solutions using UiPath, Blue Prism, Automation Anywhere, scripting languages, cognitive RPA, and API integrations. Responsibilities include analyzing complex problems, designing automation architectures and process flows, writing code, creating technical documentation, collaborating with sales and delivery teams, and overseeing small work efforts. The role may involve client interaction and rotational shifts.

Design and maintain automated testing frameworks for APIs, microservices, event-driven workflows, cloud-native applications, and enterprise integrations. Develop functional, integration, regression, performance, resiliency, and data validation tests across Kafka, AWS, databases, and distributed systems. Integrate automation into CI/CD pipelines, analyze defects, perform root-cause analysis, establish quality standards, and collaborate with engineering, product, architecture, and DevOps teams to improve release quality.

Leads ASIC design-for-test implementation for Cisco Silicon One networking chips. Defines DFT architecture, scan insertion, ATPG, MBIST, JTAG, verification strategies, reusable infrastructure, and timing constraints. Coordinates with RTL, physical design, verification, CAD, vendors, and ATE teams through implementation, signoff, post-silicon validation, and debug. Supports timing closure, gate-level simulation, pattern translation, and production readiness while driving DFT methodology and technical direction across complex ASIC projects.

Designs and maintains automated test frameworks for F5’s Distributed Cloud platform. The role validates distributed systems across multi-cloud environments, performs functional, performance, scalability, and reliability testing, tracks defects, and investigates production issues. Responsibilities include creating test plans, participating in design and code reviews, collaborating cross-functionally, mentoring junior QA engineers, and promoting automation and quality best practices throughout the development lifecycle.

Designs and maintains automated test frameworks and suites for a distributed cloud platform. Tests complex systems across multi-cloud environments, including performance, scalability, reliability, APIs, and microservices. Documents and tracks defects, creates test plans, participates in design and code reviews, investigates production issues, and mentors junior QA engineers while promoting quality assurance best practices.

Leads development of AI-driven network operations and automation platforms. Designs cloud networking, Infrastructure-as-Code, GitOps, CI/CD, enterprise integrations, observability, knowledge systems, and intelligent workflows. Builds AI assistants, RAG solutions, autonomous troubleshooting, governance automation, analytics, and self-service capabilities while managing global network architecture, SASE, security, compliance, and operational standards. Partners across engineering, security, cloud, platform, and business teams to deliver scalable and resilient infrastructure.

Design, develop, test, deploy, and support distributed data engineering features for Microsoft Fabric and Azure HDInsight. Build scalable services using languages such as C#, Java, Scala, or Python and technologies including Spark, Kafka, Hadoop, and HBase. Responsibilities include architecture, code reviews, debugging, telemetry, incident response, on-call operations, performance optimization, and collaboration with product and engineering teams.

Designs and develops capacitor products using physics-based experimentation, mathematical modeling, simulations, data analysis, and qualification testing. Conducts reliability studies, root-cause analysis, DFMEA, prototyping, and design reviews. Produces technical documentation, supports regulatory compliance, and collaborates with engineering teams. Requires a master’s degree in physics, preferably a PhD in thermal, sound, or acoustics, plus 4–5 years of manufacturing experience.

Design, build, test, and maintain web-based applications using Python. Edit and update website content, document technical designs, integrate web components, monitor performance, and implement user experience improvements. Collaborate with cross-functional teams, contribute solutions, participate in technical discussions, and mentor junior team members. The role requires knowledge of Python web frameworks, front-end technologies, databases, clean coding practices, and version control.

Develop and enhance custom Python software applications using modern frameworks and agile practices. Design scalable solutions, collaborate with multiple teams, troubleshoot issues, optimize performance, and ensure maintainable code. Serve as a subject matter expert, make team decisions, mentor junior engineers, and contribute to application architecture and user experience improvements. The role requires 7.5 years of Python experience and 15 years of full-time education, and is based in Chennai.

Develop and execute end-to-end system test strategies for Cisco optical networking and high-end routing products. Design Python and TCL automation, validate OpenConfig and network manageability applications, debug complex network issues, and apply AI/ML and generative AI to test optimization. Collaborate with global teams and customers while translating deployment scenarios into effective test plans. Requires expertise in optical technologies, Layer-0/Layer-1 traffic analysis, Linux, software testing methodologies, and network automation.

Develop and enhance custom Python software solutions using object-oriented programming, agile practices, testing, debugging, version control, and database integration. Lead technical decisions, collaborate with stakeholders and cross-functional teams, implement development best practices, solve complex problems, and mentor junior engineers while ensuring scalable, maintainable, and efficient applications.

Administer and support mission-critical Oracle database environments across development, testing, UAT, and production. Responsibilities include RAC, ASM, Data Guard, RMAN recovery, upgrades, migrations, patching, performance tuning, security, disaster recovery, automation, and cloud database administration. The role also requires production incident leadership, technical documentation, collaboration with application teams, and mentoring junior DBAs.

Designs and manages global enterprise networks across data centers, cloud, and network environments. Responsibilities include network architecture, automation, observability, reliability engineering, incident and problem management, troubleshooting, transformation roadmaps, stakeholder coordination, project quality oversight, documentation, and mentoring. The role requires expertise in routing, switching, firewalls, cloud networking, network management tools, AIOps, monitoring, root-cause analysis, and 24x7 rotational support.

Designs, deploys, and manages large-scale HPC and AI infrastructure across on-premises, cloud, and hybrid environments. The role architects XPU clusters, GPUaaS and AIaaS platforms; manages Linux, Slurm, Kubernetes, containers, networking, storage, and automation; optimizes performance, scalability, energy, and cost; integrates platforms with enterprise systems and security frameworks; and provides monitoring, troubleshooting, documentation, and technical guidance for advanced AI and HPC workloads.

Designs, deploys, and manages large-scale HPC and AI infrastructure across on-premises, cloud, and hybrid environments. Responsibilities include building GPU and accelerator clusters, configuring Slurm and Kubernetes platforms, optimizing performance and costs, integrating AI workloads and data pipelines, monitoring reliability, and automating infrastructure with Terraform, Ansible, and scripting. The role also provides technical guidance, develops operational documentation, and supports advanced computing services such as GPUaaS, AIaaS, and MaaS.

Designs, deploys, and manages high-performance computing and AI infrastructure across on-premises, cloud, and hybrid environments. Responsibilities include operating XPU clusters, optimizing performance and costs, implementing orchestration and automation, integrating platforms with IT and data systems, monitoring availability and resiliency, and supporting large-scale AI and HPC workloads. The role also develops architecture documentation, operational runbooks, and technical guidance for users.

Develops and enhances custom software solutions using Unreal Engine, modern frameworks, and agile practices. Designs scalable, high-performing components, resolves software issues, integrates systems, and collaborates across teams. Acts as a subject matter expert, contributes to team decisions, leads development best practices, coordinates cross-functional efforts, and mentors junior engineers. The role requires at least five years of Unreal Engine experience and 15 years of full-time education.

Administer and optimize Dynatrace environments, deploying OneAgent and ActiveGate, configuring observability across applications and infrastructure, creating dashboards and alerts, investigating performance issues, and improving reliability. Collaborate with development, DevOps, cloud, and operations teams. Automate workflows using Python or Shell scripting, integrate enterprise tools, and apply Linux, cloud, DQL, Grail, ITIL, Terraform, and CI/CD knowledge.

Designs and implements scalable software architectures for semiconductor equipment systems. Collaborates with engineers, product managers, and stakeholders to translate requirements into technical designs, prototypes solutions, conducts reviews, mitigates technical risks, evaluates technologies, and mentors engineering teams. The role requires extensive Java, Spring Boot, microservices, workflow framework, reactive programming, algorithms, and large-scale systems experience, with Python and machine learning knowledge preferred.

Design, build, test, debug, and configure Python applications tailored to business requirements. Collaborate with stakeholders and cross-functional teams, gather requirements, participate in code reviews, contribute to Agile and DevOps practices, and provide technical solutions. The role requires developing clean, efficient, maintainable software and independently contributing as a subject matter expert.