Top Python Jobs in Bangalore

Perform IP-level verification of GPU ASIC control subsystems: create test plans, develop UVM-based constrained-random tests and verification infrastructure, ensure functional and code coverage of RTL, work with architects/designers, and use simulation and debug tools to validate micro-architecture and golden models.

Lead development and scaling of identity and access management services for an AI cloud platform. Build authentication/authorization systems (OAuth2, OIDC, SAML), manage user and machine identities, design RBAC/ABAC/OPA-based authorization frameworks, ensure reliability and security at high scale, partner with cross-functional teams, and mentor engineers.

The Hardware Design Architect will drive architecture innovations for Hardware Design, collaborating with various teams to ensure solutions align with business needs and technical specifications.

The Software DevOps Engineer will develop, enhance, and implement software systems for generative AI, focusing on backend development, quality assurance, and scalability.

Define and implement DFT architecture and flows (SCAN, MBIST, BSCAN), develop ATPG and insertion flows, debug timing, support post-silicon bring-up and failure analysis, collaborate with physical design and test teams, and improve DFT methodology.

Design, build, and deliver cloud-native backend services and APIs on AWS. Shape cloud architecture, integrate internal and third-party components, ensure scalability, security, and maintainability, and collaborate across teams to produce production-grade code and improve CI/CD and deployment tooling.

Design, build, and operate resilient, highly available services at scale. Monitor service health, improve observability and tooling, lead incident response, collaborate across architecture and engineering teams, and create SOPs and reliability tests.

Operate, maintain and optimize Linux/RedHat scientific computing and HPC environments; manage schedulers, troubleshoot performance and dependencies; develop and maintain automation and code (Bash, Python, Perl); apply ITIL and DevOps practices; support users and stakeholders; drive automation and continuous improvement using AI tools and cloud technologies.

Develop and maintain web-based engineering tools: build React frontends and Python/Node.js/.NET backends, integrate engineering algorithms and FEA tools, create APIs/plugins, refactor legacy code, and collaborate with core engineering teams in Agile environments.

Responsible for ensuring reliability and continuous improvement of TD SYNNEX enterprise platforms, focusing on automation, IaC, and incident management in hybrid cloud environments.

Own the architecture and technical direction of large-scale distributed applications. Build secure, scalable Python backend services, contribute to Java services, guide platform strategy, mentor engineers, and establish engineering standards. Improve reliability, observability, automation, developer experience, security, testing, and operational excellence. Use AI-assisted development tools responsibly to increase productivity while maintaining software quality. Collaborate cross-functionally and lead through technical excellence, pragmatic architecture, and strong ownership.

Architect and operate scalable, reliable infrastructure across Kubernetes, AWS, RDS, and distributed microservices. Lead capacity planning, benchmarking, observability, alerting, SLA enforcement, security, CI/CD, and infrastructure roadmap initiatives. Apply AI and automation to improve reliability and developer productivity. Optimize databases and production systems, identify bottlenecks, mentor engineers, and translate business objectives into technical roadmaps. The role requires strong Golang, backend, SRE, distributed systems, database, and cloud expertise.

Lead the Monetization Infrastructure engineering team, provide hands-on technical leadership, ensure high uptime and incident management, collaborate with Finance and Product, drive operational excellence, and champion adoption of AI-assisted SDLC practices.

Develop high-quality, resilient software across Ubuntu and the open source stack, from Linux systems and firmware to cloud, containers, and desktop applications. Contribute to product roadmaps, user experience, code reviews, issue resolution, security, and enterprise requirements. Collaborate remotely with global engineering teams and the open source community, while building expertise in programming languages and Linux systems. Attend international company sprints twice yearly.

Design, implement, and maintain AWS-based CI/CD solutions using Jenkins. Manage build environments, operating systems, software, and multiple AWS accounts. Collaborate across teams to develop DevOps solutions, promote agile practices, and troubleshoot CI and production issues. The role also involves applying AI tools, coding assistants, agents, MCPs, and agentic SDLC practices to improve testing, troubleshooting, and workflows.

Design, implement, and maintain the Atlassian ecosystem (Jira, Confluence, JSM). Build workflows, automations, integrations, reporting, and governance. Provide tier-3 support, training, and lead upgrades/migrations to scale the platform across engineering, IT, and business teams.

Lead design, development, and support of enterprise automation solutions using Automation Anywhere, Power Platform, and Pega. Act as Automation Anywhere SME, create PDDs/SDDs, ensure secure scalable architecture and governance, manage scrum delivery, resolve production issues, and evaluate cognitive automation and ML innovations.

Lead and manage a technical cloud engineering team to define and evolve multi-cloud architecture (GCP/Azure/AWS), implement IaC and automation, ensure security, resilience, and observability, mentor engineers, and collaborate cross-functionally to deliver scalable, highly available cloud platforms.

Create, organize, and maintain reusable technical documentation and illustrations using Word/SharePoint and CCMS practices. Collaborate with global SMEs, manage translation and publishing workflows, perform task analysis, support structured authoring (DITA/XML), and improve documentation standards, templates, and metadata to ensure consistent, localized, user-focused content.

Create, organize, and maintain reusable technical documentation and illustrations using authoring tools and CCMS. Collaborate with global SMEs, manage reviews, translations, and content quality checks. Support structured-authoring adoption, metadata, localization, and Agile workflows while contributing to documentation standards and templates.

Lead enterprise application modernization initiatives by defining modernization strategies (replatform, refactor, rebuild), transforming monoliths into microservices, conducting application discovery and technical debt analysis, designing cloud-native architectures, implementing containerized CI/CD pipelines, using code-quality/security tooling and agentic AI for migration, and driving client-facing consulting, pre-sales, and executive stakeholder engagements.

Lead platform engineering and AWS cloud migrations from on-prem VMware to AWS. Architect, deploy, and maintain cloud infrastructure; design hybrid networking and security; automate migrations and CI/CD using IaC, scripting, and configuration management; troubleshoot OS and database migrations; and optimize post-migration performance.

Develop and deliver industrial AR/VR/MR applications using Unity across Apple Vision Pro, HoloLens, Android XR and mobile devices. Translate user stories into features, evaluate device capabilities, coordinate with European teams, follow Agile, maintain CI/CD pipelines, and ensure architecture aligns with Airbus standards while supporting deployment and documentation.

Design, develop, debug, and integrate firmware and embedded software (BMC, BIOS/UEFI, drivers, RTOS) for high-performance server platforms. Lead projects, coordinate partners, define architecture and test strategies, mentor engineers, and drive adoption of new technologies.

Develop and maintain manageability and boot firmware for Tegra CPUs, perform embedded bare-metal and Linux kernel development, integrate with server management protocols, collaborate with hardware architects, and improve system performance and tooling.