Top Python Jobs in Bangalore

Designs test cases, plans, scripts, and reports for train performance and energy management software. Collaborates with systems, software, and product engineering teams to define validation scope, configure laboratory test benches, execute hardware- and software-in-the-loop testing, diagnose issues, and document objective evidence. The role also logs and retests defects, evaluates communication protocols, uses protocol analysis tools, and supports automated testing and technical documentation.

Leads physical design implementation for complex SoCs from RTL to GDSII across advanced technology nodes. Responsibilities include floorplanning, place and route, clock-tree synthesis, timing closure, physical verification, IP integration, IR/EM analysis, signal integrity, and methodology development. The role owns full-chip and subsystem challenges, collaborates with global implementation teams, mentors junior engineers, and supports first-pass silicon success. Occasional travel is required.

Designs, deploys, monitors, troubleshoots, and optimizes LAN, WAN, SD-WAN, Wi-Fi, cloud, and security infrastructure. Configures network devices and security systems, automates operational tasks, maintains technical documentation, implements security and disaster recovery measures, and resolves escalated issues. The role also mentors engineers, communicates with users, and recommends improvements to network performance, capacity, and scalability.

Operate and improve production Azure and hybrid infrastructure, including compute, storage, networking, identity, backup, and recovery. Build automation and Infrastructure as Code with Terraform or Bicep using PowerShell, Bash, or Python. Enhance monitoring, alerting, and observability; participate in incident response, root-cause analysis, on-call support, change management, restore testing, and operational documentation.

Collaborates with cross-functional teams to gather technology requirements, design solutions, write technical specifications, develop and deploy software, conduct code reviews, support testing, resolve technical issues, and provide team support. The role requires knowledge of modern technologies such as cloud, mobile, IoT, and blockchain, along with proficiency in programming languages and Agile development practices.

Lead the architecture of large-scale distributed data platforms for real-time and batch processing, driving technical direction and partnership across teams.

Lead the design, development, and technical ownership of scalable backend services in Python. Responsibilities include system architecture, distributed systems development, testing, debugging, optimization, code reviews, production issue resolution, and cross-functional collaboration with product, frontend, DevOps, and QA teams. The role also involves improving observability, event-driven infrastructure, authentication, cloud efficiency, and overall backend reliability.

Designs, builds, delivers, and maintains software applications and services. Develops Java and Spring Boot enterprise applications, RESTful APIs, and frontend features using React or Angular. Manages relational databases, Redis caching, Docker containers, Kubernetes deployments, and AWS EKS infrastructure. Applies software development lifecycle practices, CI/CD, testing, documentation, performance evaluation, data structures, and algorithms. Collaborates in Agile environments and contributes to innovation and production integration of emerging technologies.

Administer and optimize cloud-based data platforms, including Databricks workspaces, clusters, pools, and jobs. Configure RBAC, audit logging, governance, and security controls. Build CI/CD pipelines and Terraform-based automation for notebooks, libraries, jobs, and cluster lifecycles. Troubleshoot performance and integration issues, support data teams, and integrate platforms with Azure Data Lake, Power BI, Dataverse, and other enterprise systems.

Designs and automates cloud infrastructure, CI/CD pipelines, and containerized deployments. Manages Kubernetes and Azure environments, infrastructure as code, monitoring, scalability, service reliability, incident response, and postmortems. Supports system design, capacity planning, production engineering, and continuous service improvement. The role also integrates security scanning and other tooling into established delivery pipelines while collaborating across technical teams.

Develops reusable analog and mixed-signal CMOS circuit blocks, including amplifiers, LDOs, bandgaps, and charge pumps. Responsibilities include circuit design, layout supervision, simulation, verification, laboratory debugging, bench characterization, post-silicon validation, DFT collaboration, documentation, and production release. Provides technical leadership in specifications, project planning, design-team coordination, and collaboration with systems, test, product, applications, and marketing teams.

Own system-level quality for Portworx Enterprise across Kubernetes, storage, virtualization, and AI/ML environments. Design test strategies and Golang-based automation, validate high availability, resiliency, disaster recovery, upgrades, scalability, and failure scenarios, and improve functional and automation coverage. Maintain CI/CD test infrastructure, troubleshoot distributed system issues, collaborate across global engineering teams, mentor engineers, and support multiple concurrent releases.

Own system-level quality for Portworx Enterprise across Kubernetes, storage, and virtualization environments. Develop test strategies and Golang-based automation, validate high availability, resiliency, disaster recovery, upgrades, scale, and failure scenarios, and improve CI/CD test infrastructure. Troubleshoot complex distributed-system issues, identify coverage gaps, collaborate across engineering teams, support releases, and mentor engineers through code reviews and automation practices.

Deliver microarchitecture and RTL for Graphcore silicon: integrate IP/subsystems into SoC, maintain build/config environments, run synthesis/lint/CDC/timing checks, support verification and physical design handoffs, debug integration issues, improve automation and integration flows, and produce high-quality documentation.

The Principal Enterprise Architect will design solution architectures, engage with technical teams and customers, and support sales goals through integration strategies and architecture development.

Designs and maintains automated GPU performance verification infrastructure spanning workload generation, testing, simulation, emulation, silicon validation, data pipelines, dashboards, and metrics analysis. Partners with GPU architects and hardware teams to improve verification workflows, performance observability, and build iteration speed. The role primarily uses C++ and Python, with opportunities to develop full-stack applications and scalable infrastructure.

Prove correctness of design blocks, IPs, and SoC components using formal verification methods. Develop test plans, implement formal verification techniques, experiment with formal tools and flows, and collaborate with hardware design and verification teams to achieve quality and performance goals.

Lead customer-facing technical implementations for Fortune 500 clients. Discover and optimize third-party risk and compliance processes, configure workflows, forms, logic, scoring, approvals, integrations, and data flows in Certa Studio, and debug cross-system issues. Own project governance, testing, cutover, go-live, hypercare, and handoff. Use production LLMs and scripting to build solutions, identify platform limitations, and create reusable templates and accelerators.

The Site Reliability Engineer will design scalable infrastructure, automated deployment pipelines, monitoring, and alerting systems. Responsibilities include troubleshooting production incidents, participating in on-call rotations, maintaining systems, improving security and compliance, optimizing reliability and efficiency, and mentoring junior engineers. The role requires collaboration with development and cross-functional teams, technical communication, infrastructure automation, and expertise in distributed systems, cloud platforms, and networking.

Develop and maintain scalable full-stack applications using React, TypeScript, Java, Spring Boot, and cloud services across AWS and Azure. Design APIs, microservices, event-driven systems, CI/CD pipelines, infrastructure as code, and containerized deployments. Implement testing, monitoring, security, and production support practices. Translate business requirements into reliable technical solutions, collaborate with architects and Agile teams, document designs, and incorporate AI-driven capabilities into products.

Develop and validate clocking methodology solutions and scalable CAD automation tools for NVIDIA chips. Responsibilities include creating validation strategies, quality checks, debug infrastructure, bug fixes, and production workflows using C++, Python, Perl, and Tcl. The role partners with design, verification, architecture, methodology, and QA teams to deliver robust tools across SoC, CPU, GPU, and networking architectures.

Develop and operate observability solutions for large-scale distributed systems. Establish logging, metrics, and tracing standards; build infrastructure for collecting, aggregating, and storing metrics; and improve system scalability, reliability, and performance. Contribute to the technical roadmap, participate in on-call rotations, reduce incident response times, and optimize observability costs through improved visibility, retention policies, query efficiency, and resource sizing.

Design, develop, and maintain SQL drivers for data warehousing while ensuring seamless connectivity and optimizing performance. Engage with open source communities and collaborate across teams to enhance partner integrations.

Own backend integration services connecting market data providers, client systems, and internal platforms. Build reliable APIs and ingestion services, manage distributed systems on Kubernetes, and ensure performance, observability, security, and correctness. Responsibilities span design through production operations, including CI/CD, incident response, SLOs, and cost management. The role requires strong Java and Python skills, financial data experience, API design expertise, and practical use of AI engineering tools.

Build and support AI and DevOps platforms using production-grade Python, LLM orchestration, agent loops, prompt evaluation, CI/CD automation, GitLab pipelines, and REST/OpenAPI services. The role emphasizes infrastructure engineering, deployment environments, security automation, monitoring, source control, containers, Kubernetes, and infrastructure as code.