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.

Leads software development for banking digital platforms, owning product execution, technical roadmaps, delivery quality, scalability, operational excellence, and cost optimization. Provides hands-on code reviews and architecture guidance, leads technical program management across product, technology, enterprise, IT, and vendors, coaches Agile practices, manages risks and dependencies, defines non-functional requirements, drives defect resolution, and reports product and program progress through KPIs.

Design, develop, and implement software solutions across the full SDLC. Build microservices, troubleshoot application issues, participate in code and design reviews, and collaborate on requirements and project planning. The role requires experience with Java or Python, Spring, databases, workflow orchestration, containerization, messaging platforms, cloud services, CI/CD, domain-driven design, and agile delivery.

Build and operate CI/CD pipelines, Terraform modules, AWS infrastructure, and container platforms for a large application modernization program. Develop reusable Harness and GitHub Actions pipelines, manage front-end and Java builds, enforce security and quality gates, automate Linux environments, troubleshoot deployments, and support reliability practices including monitoring, secrets management, and controlled releases.

Lead design and hands-on delivery of cloud-native, AI-enabled platforms on AWS. Build reusable IaC, serverless, multi-account solutions; mentor Cloud/DevOps teams; implement CI/CD, observability, networking, security, and disaster recovery. Drive API, frontend (React/GraphQL), scripting, and genAI integration while ensuring scalable, testable, and user-friendly systems.

Lead the technical strategy, architecture, and execution of hyperscale cloud platform and deployment systems. Design and deliver secure, reliable, scalable distributed infrastructure; drive automation, observability, and reliability engineering; influence technical direction; mentor engineers; and collaborate across Microsoft to deliver globally impactful platform solutions.

Lead technical vision and architecture for large-scale, low-latency data systems; contribute hands-on to core code and production support; drive cross-team alignment; mentor engineers; refine data pipelines and CI/CD; apply AI tools to improve workflows; collaborate with Ads and Bing to integrate shared infrastructure and deliver reliable, scalable platforms.

Develop and optimize Windows device fundamentals across hardware, firmware, operating-system, and application layers. Analyze telemetry and trace data, diagnose system issues with low-level debugging, identify performance and power optimization opportunities, design architectural improvements, and deliver reliable solutions. The role collaborates with internal teams, OEMs, and hardware partners while using large-scale data and statistical analysis to prioritize engineering investments.

Leads the strategy, architecture, and execution of Windows Fundamentals backend services, telemetry platforms, data pipelines, analytics, and diagnostic capabilities. Builds and manages a senior engineering organization, establishes reliability and security standards, drives large-scale systems improvements, and uses telemetry, experimentation, automation, and AI-assisted analysis to improve Windows health. The role also requires cross-organizational alignment, portfolio planning, talent development, and operational accountability.