Top Python Jobs in Hyderabad

Design, develop, and maintain software tools and automation for large-scale data center networks. Collaborate with network infrastructure engineers to maintain automation and monitoring platforms, support scalable network architectures, participate in code reviews, and use AI coding tools for rapid prototyping and deployment.

Designs and operates distributed telemetry infrastructure, Kafka streaming pipelines, ClickHouse data platforms, Kubernetes deployments, and production services. The role owns observability, incident response, on-call operations, APIs, data modeling, and full development lifecycles. It also contributes to analytics interfaces, client SDKs, AI-enabled features, and cross-team technical leadership through architecture, mentoring, automation, code review, and postmortems.

Develop and test moderate-to-complex cloud application modules using Java. Design distributed, event-driven, scalable microservices; troubleshoot code and integration issues; create test plans; and deploy cloud applications through CI/CD pipelines. The role also addresses Kubernetes, Linux networking and storage, REST APIs, caching, data modeling, hybrid cloud environments, and cloud-native architecture.

Leads embedded avionics software development and verification for aerospace systems. Responsibilities include defining test architectures, environments, tools, and processes; ensuring DO-178B/C compliance; reviewing PDR/CDR designs; evaluating emerging technologies; using C, C++, Python, MATLAB, debuggers, and simulators; automating verification with generative AI; conducting audits and technical reviews; and guiding engineers while managing cross-functional stakeholders.

Leads embedded aerospace software development and verification activities for avionics programs. Defines test architectures, environments, tools, processes, and methodologies aligned with DO-178B/C. Influences software architecture, reviews designs, evaluates emerging technologies, drives productivity improvements, and manages technical stakeholders. Provides technical leadership, mentors engineers, coordinates cross-functional initiatives, and supports quality, cost, schedule, certification, and risk objectives. Uses C, C++, Python, MATLAB, VectorCAST/Cover, debuggers, simulators, and generative AI tools to improve verification workflows.

Leads quality engineering for disability and absence solutions by defining risk-based testing strategies, building automated tests across user interfaces, APIs, databases, integrations, and workflows, and integrating testing into CI/CD pipelines. Oversees defect triage, root-cause analysis, release validation, and production readiness. Ensures performance, security, privacy, accessibility, regulatory, and operational quality while mentoring engineers and advising stakeholders.

Own verification and end-to-end analysis of full-chip gate-level DRAM designs. Develop SystemVerilog and UVM testbenches, test cases, stimuli, test vectors, regressions, and coverage improvements. Simulate, debug, and analyze pre-silicon block and full-chip designs using digital, mixed-signal, and SPICE tools. Apply AI-based automation to accelerate verification while validating outputs against specifications, simulations, waveforms, assertions, and coverage. Guide newer engineers and collaborate globally on verification methodologies and environments.

Design and enable ASIC, memory, SoC, mixed-signal, and semiconductor CAD flows. Develop automation using scripting and programming languages, integrate EDA and AI-assisted tools, and lead physical implementation, timing closure, DFT, custom layout, verification, and signoff. Collaborate across engineering teams to support tape-out, manufacturability, silicon success, production ramp, documentation, training, and methodology improvements.

Leads customer-facing SSD technical activities, including complex issue resolution, debugging, root cause and failure analysis, qualification, platform integration, deployment, production ramp, sustaining support, performance testing, and interoperability validation. Owns firmware release management, technical documentation, diagnostic tools, customer communications, training, and Design-for-Debug initiatives. Coordinates cross-functional engineering and customer organizations while translating feedback into product improvements, readiness plans, and roadmap recommendations.

Plan and execute analog and mixed-signal verification across block, subsystem, and full-chip levels. Develop simulation environments, behavioral models, verification plans, automation scripts, and AI-assisted engineering workflows. Debug complex failures, perform electrical reliability and connectivity checks, analyze power behavior, and collaborate with design, firmware, product engineering, and manufacturing teams to improve product quality and verification efficiency.

Develop and scale C#/.NET test automation for DryvIQ’s Kubernetes-based distributed applications. Build API, integration, system, UI, regression, and end-to-end coverage; improve frameworks, reusable utilities, diagnostics, test data, and CI/CD integration. Validate microservices, asynchronous workflows, deployments, upgrades, recovery, and enterprise integrations. Diagnose complex failures using logs and system evidence, collaborate with engineering and QA teams, contribute to Python/PyTest tooling, and provide technical guidance.

Own the architecture and implementation of AI-native user experiences across ServiceNow’s platform. Design agent-to-UI interactions, streaming experiences, uncertainty handling, human-in-the-loop workflows, and trustworthy reasoning visibility. Lead UXC and Workspace platform architecture, write production frontend code using Lit.js and React/TypeScript, and collaborate with ML and backend teams using Java, Python, PostgreSQL, and Kubernetes. Mentor senior engineers, align technical decisions with business outcomes, and drive cross-functional execution.

The Senior Engineer will design and maintain standard cells for DRAM products, collaborate on architecture development, and perform characterization and quality analysis of cells. Development of automation tools and engagement in AI-assisted design improvements are also key responsibilities.

Develop and support embedded and interface software for semiconductor manufacturing equipment. Work across bare-metal and Linux environments using C, C++, and Python to interface with custom hardware and microcontrollers. Collaborate with software, electrical, controls, and mechanical engineers on equipment design, PCB and schematic review, circuit prototyping, debugging, testing, documentation, and system integration. Support existing equipment and use laboratory instruments for design bring-up and characterization.

Own complex software features, services, integrations, and technical workstreams from design through production. Solve ambiguous engineering problems, make project-level technical decisions, improve reliability and scalability, and apply secure engineering practices. Use AI-assisted development tools responsibly, diagnose production issues, and guide other engineers through reviews, collaboration, and knowledge sharing. The role focuses on enterprise technology, cloud environments, automated testing, observability, and maintainable production systems.

The role involves performing failure analysis on NAND components, driving solutions for system development, and innovating testing methodologies while collaborating with multi-functional teams.

Plans and executes analog and mixed-signal verification at block, subsystem, and full-chip levels. Develops simulation environments, models, verification plans, regression automation, and AI-assisted engineering workflows. Performs electrical rule checks, power and reliability simulations, waveform analysis, and complex failure debugging. Collaborates across design, firmware, product engineering, test, and manufacturing teams to improve quality, reliability, cost, and time to market.

Validate non-functional resiliency requirements by designing, executing, and automating performance, scalability, and stress tests. Build and maintain JMeter scripts, BlazeMeter test runs, and Jenkins/Groovy CI/CD pipelines. Analyze results, identify bottlenecks, recommend fixes, and integrate testing into delivery pipelines while collaborating with development teams and following performance engineering standards.

Design, develop, test, deploy, and support scalable software applications for FactSet’s Buyside Services products. Build backend services, RESTful APIs, and modern web applications; optimize PostgreSQL databases and large-data workflows; implement caching and service-oriented architectures; troubleshoot production issues; and improve application reliability, performance, and maintainability. Collaborate with Product and Engineering teams, contribute to technical design, conduct code reviews, and mentor less-experienced engineers.

Develop and maintain scalable software for FactSet’s Buyside Services products. Responsibilities include designing features, resolving bugs, translating business requirements into technical solutions, participating in architecture discussions, addressing production issues, and contributing to code reviews, documentation, and testing. The role requires Python, REST API, frontend framework, testing, and PostgreSQL expertise, with preferred experience in dataframes, caching, microservices, and distributed systems.

Deploys, manages, and optimizes cloud infrastructure and DevOps processes for product development. Leads automation, develops deployment and monitoring tools, troubleshoots complex issues across environments, mentors junior engineers, and coordinates releases. Partners with engineering, performance, and documentation teams to improve operational efficiency, installation, and customer experiences. Requires expertise in cloud platforms, infrastructure as code, containers, orchestration, scripting, version control, and CI/CD.

Develop, implement, test, deploy, monitor, and support real-time and batch enterprise data integrations using webMethods across REST, SOAP, JDBC, SFTP, and JMS. Build messaging flows, troubleshoot runtime issues, manage SDLC activities, and support production releases. Use AWS, GitHub, Jenkins, CloudFormation, ServiceNow, and JIRA while collaborating with global IT, infrastructure, and business teams. Participate in performance optimization, platform upgrades, capacity planning, and rotational on-call support.

The Lead Software Engineer at Salesforce is responsible for developing scalable components, writing production-ready code, mentoring junior engineers, and managing the software development lifecycle in a multi-tenant SaaS cloud environment.

Design, build, and operate secure, scalable enterprise applications and AI-powered seller experiences. Develop full-stack solutions with React, TypeScript, backend services, Azure, Dynamics 365, and cloud-native architectures. Integrate AI agents, copilots, and large language models; improve platform reliability, observability, automation, and developer productivity. Lead architecture and technical design discussions, uphold engineering and security standards, and collaborate with product, design, data science, security, and engineering teams across Microsoft.

Develops and maintains scalable data integration software for Microsoft Fabric, Power Query, and Dataflows. Responsibilities include writing maintainable code, creating test strategies, applying AI tools throughout the software development lifecycle, improving reliability and performance, and supporting live services through rotational on-call operations. The role requires collaboration on high-scale, multi-tenant data services serving Fabric, Excel, and Power Platform customers.