Top Python Jobs in Hyderabad

Own and operate DigitalOcean's billing control plane: triage escalated billing/support issues, build automation and revenue-assurance tooling, ensure platform reliability, collaborate across engineering, product, finance, and support, and support new product operational launches.

Own and operate DigitalOcean’s billing control plane: triage escalated billing/support issues, build automation and revenue-assurance tooling, manage billing operations (credits, refunds, taxation), collaborate with product/finance/ops, and improve platform reliability and documentation.

Build and maintain high-throughput backend services and concurrent asynchronous workflows to orchestrate secure AI agent execution and evaluation. Integrate control planes with isolated execution environments, implement scalable gRPC/REST APIs, monitor performance, troubleshoot bottlenecks, and drive engineering best practices for reliability and scalability.

Build and maintain high-throughput backend services and concurrent asynchronous workflows to orchestrate AI agent evaluations. Integrate control planes with isolated execution environments, develop scalable gRPC/REST APIs, monitor performance, troubleshoot issues, and contribute to testing, code reviews, and technical design to ensure reliable, scalable evaluation infrastructure.

The Lead Software Engineer will design, develop, and maintain Coupa's SaaS products, collaborating with teams to enhance platform functionality and governance, ensuring customer success.

Lead and implement technical initiatives, design and debug software solutions, optimize large data environments, and ensure system reliability while collaborating with teams in an Agile environment.

Design and deliver cloud services using Python, implement scalable APIs, improve operational maturity, and mentor junior engineers in cloud-native environments.

Lead a team of engineers to build and operate cloud-native services for ransomware detection, ensuring system reliability and security.

The Principal Software Engineer will design and implement cloud-native services, lead architectural discussions, and improve CI/CD and operational excellence across AWS and Azure environments, while providing technical mentorship and driving system reliability.

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).

Design, build, test, and deploy full-stack applications using Java, Python, Spring Boot and front-end frameworks. Develop interactive UIs with Visualforce and Lightning Web Components, create custom Salesforce objects/workflows, and implement low-code solutions. Use AI tools (Copilot, Einstein GPT) to generate code, build Copilot skills, and improve testing and security. Collaborate on architecture, integrations, and Azure-based solutions while following company policies.

Lead and develop a .NET full-stack engineering team, own delivery outcomes, provide technical direction while contributing ~20% hands-on. Champion secure, production-grade services with CI/CD, observability, and automated testing. Drive engineering standards, partner cross-functionally (Product, SRE, Security, Data/AI), manage workstreams, and ensure compliance in regulated environments.

The role involves developing Linux-based systems software with proficiency in Python and C++. Responsibilities include debugging, writing scripts, and collaborating on system-level engineering tasks. It's targeted at early-career engineers with a solid foundation in operating systems and systems programming.

Design, implement, test, and optimize performance-sensitive C++/Linux data-path components. Improve throughput, latency, concurrency, and reliability; debug complex memory, threading, I/O, and protocol issues; use profiling/tracing tools; collaborate with QA, Performance, Support, and engineering teams; participate in design and code reviews and mentor junior engineers.

Design, build, and maintain scalable platform services and CI/CD pipelines. Implement deployment automation, observability, and security best practices. Support distributed system architecture, incident response, and developer productivity tools while collaborating with engineering teams.

Lead design, implementation, optimization, and maintenance of performance-critical data-path components. Improve concurrency, throughput, latency, scalability, and reliability; diagnose complex defects and escalations; partner with QA and Performance Engineering; define test strategies; influence architecture, coding standards, and cross-team engineering practices.

The Sr Engineer in Die Design Engineering will oversee TSV & 3D Integration, collaborate across teams, and ensure die design meets advanced packaging requirements.

The role involves validating PCIe/LPDDR Controllers and SoCs, driving test planning, bringing up systems, and ensuring compliance and performance.

Responsible for the validation of PCIe and LPDDR components, interacting with design teams, running simulations, and overseeing silicon bring-up activities.

Design, build, and support analytics-driven Facilities systems: dashboards, AI-enabled capabilities, front-end interfaces, and data pipelines. Partner with Facilities, IT, and Digital teams to enable automation, predictive insights, standards alignment, and global site support.

Define testing strategies and build scalable automation frameworks to validate end-to-end distributed workflows and data pipelines. Ensure data integrity, lineage, resiliency, and integrate automated validation into CI/CD to improve coverage, reliability, and observability across teams.

The Staff/Lead Embedded Software Engineer will develop embedded software, supervise teams, design semiconductor testers, and innovate testing solutions. Responsibilities include hands-on work with electronics, collaboration across disciplines, and supporting manufacturing processes.

This role involves die design engineering focusing on TSV integration and advanced packaging, collaborating across teams and adopting new technologies while ensuring design reliability and innovation in HBM standards.

As a CAD Applications Engineer, you will support EDA tools for Design Verification, improve automation, debug vendor issues, and enhance productivity with the Design and Layout teams.

The CAD Senior Engineer will develop simulation flows, optimize complex circuits, implement AI-assisted workflows, and lead junior engineers in improving productivity and reducing failures.