Top Python Jobs in Bangalore

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.

Develop and integrate Android Automotive OS platform features and customer-facing infotainment functionality. Modify Android framework components, system services, and SDK elements; own multiple system modules; perform integration, unit testing, verification, defect resolution, and requirements traceability. Collaborate across technical domains, ensure system robustness, and mentor less experienced engineers. Work may span connectivity, multimedia, vehicle HAL, automotive HMI, navigation, ADAS, and other in-vehicle infotainment domains.

Staff Software Engineer responsible for architecting and building scalable marketplace platform systems, contributing hands-on across Python backend services and React/TypeScript frontend applications. The role includes technical leadership, architectural planning, complex problem solving, code review, mentoring, operational ownership, AI-assisted development, and collaboration with product, design, leadership, and global engineering teams. As an early member of Xometry’s India PDT team, the engineer will help establish engineering practices and technical standards.

Leads long-term architecture and execution for a critical global platform. Establishes AI-native development practices, designs scalable distributed systems and microservices, sets organizational code quality and reliability standards, mentors senior engineers, owns multi-quarter technical roadmaps, and serves as the technical liaison between Xometry’s India PDT team and global engineering leadership while helping build the new organization.

Architects and develops secure, scalable full-stack applications using .NET, C#, ASP.NET Core, and Angular. Leads microservices and RESTful API development, database integration, application security remediation, CI/CD automation, testing practices, debugging, production support, and root-cause analysis. Collaborates across engineering, security, and business teams in Agile environments while mentoring developers and applying advanced design, multithreading, and performance optimization techniques.

Design, build, and operate large-scale distributed platforms for observability, telemetry, automation, and AI-driven infrastructure reliability. Develop APIs, control planes, event-processing systems, and autonomous remediation capabilities across storage, compute, networking, VMware, OpenShift, Kubernetes, and bare-metal environments. Lead architecture across teams, improve scalability, security, performance, and operational readiness, and mentor engineers while delivering measurable gains in reliability, MTTR, toil reduction, and infrastructure efficiency.

Own and improve enterprise and data center network reliability, availability, and operational excellence. Resolve complex incidents, monitor performance, conduct root cause analyses, and implement automation to reduce toil and meet service-level objectives. Partner with architecture and deployment teams, develop observability and operational tooling, mitigate risks, collaborate on production issues, and create knowledge-base content. The role requires extensive network operations experience, automation expertise, and proficiency with networking protocols, monitoring platforms, Linux, and service management tools.

Build and operate global Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms. Lead data-center provisioning, lifecycle management, fleet automation, observability, SLOs, incident response, and reliability improvements. Develop Python or Go automation, self-service capabilities, RESTful infrastructure integrations, and infrastructure-as-code solutions. Partner across infrastructure, security, hardware, data-center, and application teams while participating in on-call rotations.

Own the reliability, performance, scalability, and operations of global NAS, SAN, and Object Storage platforms. Design storage solutions, build infrastructure automation, manage observability and SLOs, respond to incidents, analyze capacity, and drive root-cause prevention. Collaborate with distributed infrastructure teams, document operational procedures, mentor engineers, and lead reliability improvements for highly available systems supporting critical services and AI/ML workloads.

Leads global Site Reliability Engineering teams responsible for availability, scalability, observability, incident management, capacity planning, disaster recovery, and operational excellence across a regulated real-time payments platform. The role defines SLOs and error budgets, drives automation and resilience practices, partners with engineering, security, and compliance teams, manages reliability budgets, and communicates technical risk to executives. It also requires hands-on expertise with cloud infrastructure, Kubernetes, infrastructure-as-code, observability, distributed systems, scripting, and CI/CD.

Develop, validate, and maintain PERC rule decks for electrical reliability checks including ESD, latch-up, current density, voltage stress, and floating gates. Integrate verification flows across Calibre PERC, Cadence Pegasus, and Synopsys tools; debug violations and false positives; collaborate with PDK, foundry, physics, process, and design teams; automate checks using scripting; and document reliability methodologies.

Leads analog and mixed-signal design flows, EDA infrastructure, PDK integration, compute farms, storage, licensing, design data governance, tapeout manifests, configuration management, and environment reproducibility. Manages Linux-based infrastructure and automation, establishes verification and release controls, supports tapeout readiness, and mentors design automation and infrastructure engineers. Partners with analog, digital CAD, IT, and EDA vendors on tool evaluations, upgrades, negotiations, documentation, training, and service-level improvements.

Technical lead for embedded firmware and Linux wireless architecture on residential gateways. Own Wi‑Fi 6E/7 feature integration, SoC‑agnostic implementations (prplOS/OpenWrt), profiling/optimization with perf and Valgrind, Python-based test automation, container lifecycle with Docker/prpl LCM, TR-181/TR-369 device management, IPC (ubus/iMTP), Layer 2/3 networking, and Git-based release pipelines.

Leads troubleshooting of customer-reported networking issues across hardware and software, replicates environments, isolates root causes, and delivers final fixes. Supports Juniper routers, switches, and firewalls while advising on network deployment and operations. Partners with services and engineering teams, conducts customer reviews and trainings, documents knowledge, mentors engineers, and provides weekend and pager-rotation coverage. Requires deep expertise in Layer 2/3 networking, routing, multicast, MPLS, VPNs, and related technologies.

Provides Level 3 customer support for Juniper networking platforms, including routers, switches, and firewalls. Leads hardware and software troubleshooting, reproduces issues in laboratory environments, coordinates with customers and engineering, and delivers final fixes. Supports deployment and operations, customer reviews, network training, documentation, and knowledge-base development. Mentors support engineers and participates in pager and weekend coverage rotations.

Leads troubleshooting of customer-reported networking issues across hardware and software, reproduces problems in laboratories, coordinates with customers and engineering, and drives final resolutions. Provides technical expertise during testing, deployment, and operations; supports Juniper routers, switches, and firewalls; contributes to documentation, training, and knowledge bases; and mentors support engineers. The role includes customer reviews, weekend roster coverage, and pager rotation.

Develop and maintain efficient full-stack software and database solutions. Design, query, and optimize databases for scalability and performance; debug coding, design, and database issues; collaborate with stakeholders on requirements; and update existing systems. The role requires Java or similar programming experience, frontend framework knowledge, database fundamentals, Unix/Linux exposure, and an interest in RESTful APIs, microservices, cloud environments, and Agile/DevOps practices.

Develops, modifies, tests, debugs, documents, and implements software solutions and applications. Reviews system requirements and business processes, develops program logic, analyzes existing applications, and delivers technology solutions in an Agile environment. Works independently on complex problems, applies best practices, supports system improvements, and may lead small projects or provide technical guidance to less experienced colleagues.

Designs, implements, and maintains scalable cloud infrastructure using Terraform across AWS, GCP, and Azure. Manages cloud networking, IAM, security controls, automation, monitoring, availability, cost optimization, and platform tooling. Collaborates with development and operations teams on deployment automation, contributes to cloud architecture and technical roadmaps, and applies DevOps and CI/CD practices.

Develop and validate FPGA Soft IP throughout the RTL lifecycle, including micro-architecture, RTL coding, synthesis, place-and-route, timing closure, simulation, verification, hardware bring-up, and lab debugging. Collaborate with embedded software, hardware, and systems teams on specifications, interfaces, and system integration. Automate FPGA tool workflows and resolve clock-domain-crossing, timing, and constraint issues.

Designs, develops, and manages Stonebranch MFT workflows, tasks, schedules, dependencies, and event-driven automation. Integrates workload automation with ServiceNow, databases, Snowflake, Databricks, and APIs. Implements monitoring, alerting, error handling, retries, and secure credential management. Troubleshoots production automation issues and optimizes file-transfer processing. Uses Python, PowerShell, and generative AI to improve monitoring, incident analysis, root-cause investigation, and operational efficiency.

Own end-to-end quality for secure AI Agent Gateway services. Design risk-based test strategies and automate component, API, integration, performance, security, resilience, and production-readiness testing in GitHub and Jenkins. Validate networking, proxy, cloud, container, authentication, authorization, policy enforcement, MCP, and LLM workflows. Diagnose complex distributed-system failures involving latency, concurrency, retries, failover, recovery, and capacity, while driving defects through closure and supporting release readiness.

Designs high-quality analog and mixed-signal layouts for complex power-management IP, including regulators, amplifiers, drivers, switches, and sensing blocks. Responsibilities include floor planning, area optimization, power routing, shielding, physical verification, EM/IR-drop analysis, DFM, tapeout support, debugging DRC/LVS issues, cross-functional collaboration, and developing layout automation scripts.

Develops high-quality analog and mixed-signal layouts for complex power-management IP using deep-submicron CMOS and BCD technologies. Responsibilities include floor planning, area optimization, power routing, shielding, physical verification, ESD and EM/IR-drop analysis, tapeout support, cross-functional collaboration, and layout automation scripting. The role also requires debugging DRC/LVS issues and applying semiconductor manufacturing and DFM knowledge.

Build an AI-first self-service performance engineering platform: develop reusable tools, SDKs, and CI/CD integrations for API/UI/service performance testing; create AI-assisted workflows for test creation, execution, analysis, and defect routing; integrate observability (metrics, logs, traces) and support performance validation across releases and scale events.