Top Python Jobs in Hyderabad

Research internship focused on digital hardware design and FPGA prototyping for next-generation protocols and system features. Responsibilities include implementing and testing FPGA hardware, evaluating performance, area, and timing, exploring translation to silicon, and collaborating with architects. Candidates need strong digital design and computer architecture fundamentals, hands-on FPGA experience, knowledge of synthesis, timing, and verification flows, and programming skills in C/C++ and Python.

Leads compute-focused cloud engineering initiatives involving software engineering, cloud platforms, containerization, orchestration, infrastructure provisioning, monitoring, logging, and cloud security. Provides technical leadership, independently solves complex design problems, guides technical teams, and collaborates cross-functionally to implement scalable cloud solutions and DevSecOps practices.

Build and operate enterprise integrations across Salesforce, CPQ, contract management, NetSuite, Workato, and cloud data warehouses. Develop event-driven billing automation, MCP servers for internal AI agents, governed APIs, monitoring, security controls, and audit-ready integration processes. Own reliability, incident response, documentation, and on-call coverage while supporting the Lead-to-Cash transformation and other company-wide systems programs.

Develop and maintain Linux-based PCIe platform software, device drivers, hardware control services, management APIs, and validation frameworks. The role includes PCIe topology and configuration, low-level interface support, hardware-software debugging, automated testing, defect analysis, documentation, CI/CD, and customer platform bring-up. The engineer collaborates with hardware, firmware, architecture, validation, and customer engineering teams on semiconductor and FPGA-based platforms.

Designs and implements DFT architectures and specifications for ASIC/SoC products. Responsibilities include scan insertion, ATPG pattern development, compression and clock-control insertion, optimizing test coverage and power, and pre- and post-silicon verification and debug. The role also requires gate-level simulation, failure analysis, scripting, and collaboration across product teams.

Lead the design, development, deployment, and architecture of scalable web applications and APIs using Microsoft technologies, Azure, Angular, GraphQL, and databases. Build cloud-native solutions, manage CI/CD deployments, optimize SQL queries, and ensure application performance, security, and scalability. Collaborate in Agile Scrum teams, translate business requirements into technical designs, mentor junior developers, conduct code reviews, and manage project deliverables.

Own verification and end-to-end analysis of full-chip gate-level custom memory designs. Develop SystemVerilog and UVM testbenches, test cases, stimulus, test vectors, regressions, and coverage improvements for DRAM and emerging memory architectures. Simulate, debug, and analyze block-level and full-chip designs using digital, mixed-signal, and AMS co-simulation tools. Improve verification methodology through automation and AI-assisted workflows, validate AI outputs, collaborate globally, and mentor team members.

Own verification and end-to-end analysis of advanced DRAM and emerging-memory designs. Develop SystemVerilog/UVM testbenches, test cases, stimuli, regressions, and coverage improvements for block- and full-chip designs. Simulate and debug digital, mixed-signal, and gate-level circuits using industry verification tools. Improve verification workflows through AI-based tools, automation, and scripting while validating AI outputs. Collaborate globally, develop verification methodology, support silicon learning, and mentor newer engineers.

Verify analog, digital, and mixed-signal IP using simulation and verification tools. Build SPICE testbenches and co-simulation environments at block and full-chip levels, write Verilog and Verilog-A/MS models, develop SystemVerilog/UVM verification environments and assertions, and debug complex circuits. Experience with DRAM memory is required. The role also involves scripting, collaboration, proactive adoption of approved AI tools, and maintaining technical ownership of verification decisions.

Designs and maintains cloud automation and reliability tooling across multi-cloud SaaS environments. The role improves observability, incident response, SLOs, capacity planning, disaster recovery, and production readiness; participates in a global on-call rotation; leads high-severity incident response and postmortems; partners with engineering, product, security, vendors, and customer-facing teams; and responsibly applies AI-assisted workflows to reliability operations.

Build and lead scalable business intelligence software, including backend systems, APIs, ETL pipelines, cloud data services, user interfaces, dashboards, and analytics capabilities. Own architecture, feature delivery, performance, reliability, testing, security, and data governance. Collaborate with product, analytics, data science, and business teams while mentoring engineers and driving technical excellence.

Leads development of scalable virtual platforms for MCU, MPU, and SoC products. Integrates virtual hardware, firmware, operating systems, and development tools to enable pre-silicon software development, debugging, validation, and testing. Builds reusable automation and CI/CD frameworks, supports cloud-based deployment, and provides architecture guidance across modeling, firmware, verification, tools, and cloud engineering teams.

Designs and operates multi-cloud platforms across GCP and AWS, including Kubernetes, infrastructure as code, CI/CD, monitoring, service mesh, automation, reliability, disaster recovery, and cost optimization. The role establishes reusable platform standards, supports incident response and on-call operations, leads technical direction, mentors engineers, and collaborates with global teams.

Design, build, maintain, debug, and optimize high-volume business logic on mainframe systems. Refactor legacy code, extract business logic, and enable integrations with cloud and mobile applications. Develop scalable software using modern architectures, databases, APIs, containers, and messaging systems while troubleshooting complex system interactions and supporting mainframe modernization.

Design, build, and maintain automated and exploratory tests for web and mobile apps. Create test plans, UI/API automation, compatibility and performance testing, perform root-cause analysis, improve test coverage, and develop testing tools and infrastructure to ensure product stability and user-focused quality.

Owns GCP infrastructure and data systems across project provisioning, organization governance, Terraform automation, container deployment, CI/CD, observability, IAM, networking, security, and database administration. The role manages PostgreSQL, Bigtable, and BigQuery environments, supports multi-region data compliance, optimizes performance, and establishes disaster recovery. It requires autonomous execution, architecture ownership, documentation, and production support across secure, multi-tenant cloud environments.

Designs, builds, operates, and automates Copart’s Linux and hybrid cloud infrastructure. Leads highly available and disaster-recoverable system architecture, complex infrastructure initiatives, incident investigations, and reliability improvements. Develops Ansible automation and infrastructure-as-code, supports virtualization, storage, and cloud platforms, participates in 24x7 on-call operations, and serves as a technical escalation point and mentor for engineering teams.

Designs, implements, and supports corporate IT platforms across a global, multi-location environment. Responsibilities include deploying Microsoft AI and Copilot solutions, managing identity, endpoints, mobile devices, Microsoft 365, collaboration tools, automation, and security controls. The role drives projects autonomously, translates requirements into technical solutions, provides training, evaluates emerging platforms, and addresses AI security, data governance, and responsible AI considerations.

Design and develop scalable Go backend services, REST APIs, microservices, and cloud-native applications. Integrate databases and enterprise systems, deploy with Docker and Kubernetes, troubleshoot production issues, and contribute to architecture, testing, code reviews, observability, performance, and reliability improvements. Collaborate with DevOps and product teams on high-scale distributed systems.

Build scalable Python backend applications, REST APIs, asynchronous services, and database-driven systems. Responsibilities include designing schemas and optimizing SQL queries, integrating frontend and third-party systems, implementing security and testing, containerizing applications with Docker, and supporting deployment, monitoring, scalability, and reliability. The role also involves performance tuning, collaboration with UI teams, and code reviews.

Manages Azure DevOps CI/CD pipelines, infrastructure as code, cloud security, monitoring, incident resolution, automation, and container deployments. Supports Azure PaaS and IaaS environments, optimizes cloud costs, resolves infrastructure and database connectivity issues, maintains documentation, deploys test environments, reviews code, and guides development teams on DevOps best practices. Requires a bachelor’s degree and at least five years of relevant experience or equivalent experience.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Develop and maintain CI/CD pipelines, build systems, test infrastructure, and release processes for embedded Wi-Fi software. Improve automation, developer productivity, monitoring, telemetry, cloud infrastructure, and operating costs. Establish software delivery standards, metrics, documentation, and workflows while collaborating with infrastructure, SRE, and cross-functional engineering teams.

Manage an operations team supporting SaaS Kubernetes applications across OCI and AWS. Lead incident response, ticket triage, technology rollouts, troubleshooting, operational SLA improvement, automation, and infrastructure engineering. Mentor Operations Engineers and collaborate with architects, stakeholders, Engineering, and Client Services. The role requires extensive experience with cloud environments, large-scale .NET applications, Kubernetes, Terraform, automation, operating systems, containers, performance analysis, and full-stack troubleshooting.

Build, deploy, and maintain customer-facing production software for frontier AI labs. Develop full-stack applications with React, TypeScript, and backend technologies; translate customer requirements into scalable solutions; and improve reliability, performance, and maintainability. Collaborate with engineering, research, product, operations, and globally distributed teams while contributing to customer deployments and the growth of Handshake AI’s engineering organization in India.