Top Python Jobs in Hyderabad

Provides cloud systems support, API and third-party system integrations, software development, troubleshooting, customer training, and technical documentation. Designs customized solutions, monitors cloud performance, resolves hardware and software issues, supports security-system integrations, tests applications, and collaborates with development, operations, customers, and external integrators.

Designs, develops, tests, documents, and maintains embedded firmware for fire alarm panels from concept through production. Responsibilities include architecture, OS abstraction layers, firmware integration, prototype and verification testing, debugging, quality assurance, design controls, agency certification support, and collaboration with multidisciplinary engineering teams.

Leads verification and validation, quality assurance, test strategy, automation, and defect management for embedded firmware and software used in fire and life safety products. Develops manual and automated tests, validates system requirements and interfaces, tests communication protocols, supports hardware and software simulation environments, investigates root causes, documents results, and ensures compliance throughout the product development lifecycle.

Design, build, and maintain scalable Go-based backend services and RESTful APIs. Drive technical architecture, system reliability, observability, and long-term scalability while collaborating with product, design, and frontend teams. Participate in system design, project delivery, production on-call support, and engineering strategy. Mentor junior engineers and contribute to microservices, distributed systems, cloud deployments, and continuous improvement of healthcare technology platforms.

Design and automate CMOS electrical test structures through physical layout, floor planning, placement, wiring, and DRC verification. Develop scalable P-cells and SKILL/SKILL++ automation across technology nodes, enhance EDA and CAD flows using Python and AI-based solutions, and collaborate with global engineering teams. The role also involves process improvement, technical mentoring, and contributing to patents and research publications.

Lead technical vision and hands-on development for high-scale Microsoft 365 Copilot growth experiences. Design extensible software, mentor engineers, drive architecture and cross-team delivery, monitor production services, and improve reliability, performance, observability, and developer productivity through responsible AI-assisted engineering practices.

Lead architecture, development, and operation of scalable backend systems and distributed cloud-native applications. Build data pipelines, streaming analytics, APIs, and production AI/ML workflows while improving performance, reliability, security, and operational excellence. Decompose legacy systems into microservices, own major initiatives end to end, establish engineering standards, mentor engineers, and collaborate with product, data science, and engineering teams.

Leads engineering teams responsible for scalable, secure, cloud-native applications supporting investment and money movement platforms. Owns technical strategy, architecture, design reviews, delivery, API integrations, production readiness, security, compliance, and operational excellence. Coaches engineers and technical leads, drives Agile and DevSecOps practices, manages complex technical initiatives, and partners with product, architecture, infrastructure, UX, and global business stakeholders on technology roadmaps and delivery outcomes.

Monitor, troubleshoot, and support on-premises and cloud infrastructure. Manage incidents, service requests, and changes through ServiceNow, develop automation scripts, maintain system documentation, and collaborate with engineering teams to sustain secure, high-performing systems and 99.9% uptime. The role includes Linux administration, web and database server management, infrastructure monitoring, storage administration, and participation in shifts and a 24/7 on-call rotation.

Develops test strategies, plans, and cases for complex software systems; executes functional, regression, integration, performance, and security testing; builds automated UI, API, and backend test frameworks; integrates tests into CI/CD pipelines; improves quality processes; analyzes defects; collaborates with engineering and product teams; mentors junior QA analysts; and develops testing approaches for Agentic AI solutions.

Build and operate internal developer platforms, reusable Terraform infrastructure, Azure DevOps CI/CD pipelines, automated testing, deployment workflows, observability, and reliability systems. Develop self-service workflows, golden paths, ephemeral environments, quality gates, and Playwright test suites. Define SLOs, improve incident response and production readiness, reduce deployment failures and flaky tests, and troubleshoot issues across applications, infrastructure, networking, and cloud services.

Develop backend services and REST APIs for an enterprise SaaS platform focused on data privacy, data governance, and AI governance. Build workflow, reporting, and data-processing features using Java and Spring Boot; integrate databases and third-party APIs; write unit and integration tests; document APIs; troubleshoot defects; and collaborate with frontend, QA, and DevOps teams in an agile environment.

Lead an engineering pod developing enterprise SaaS features for data privacy, data governance, and AI governance. Own stream architecture, break down requirements, lead sprint delivery, review backend, frontend, data, and integration code, and ensure production readiness. Design microservices, APIs, and cloud integrations while managing technical risks, release quality, security, and performance. Mentor engineers and collaborate with product, architecture, UX, and QA stakeholders.

Leads delivery governance across multiple engineering pods building enterprise SaaS products for data privacy, data governance, and AI governance. Owns release planning, staffing, risk management, engineering metrics, reporting, stakeholder escalations, technical coordination, and team development. Ensures adherence to SDLC, security, compliance, CI/CD, and quality standards while partnering with technical leads and architects on capacity planning and engineering practices.

Operate and administer customer infrastructure, improve availability and resiliency, automate repetitive tasks, perform root cause analysis, maintain documentation, and advise clients on technology road maps. The role includes cloud infrastructure, Kubernetes, networking, virtualization, Puppet, Linux systems, monitoring, incident response, and on-call escalation responsibilities.

Maintains corporate production services through ticket management, incident response, observability, monitoring dashboards, and operational automation. Uses AI-assisted tools and agentic workflows to improve triage, root-cause analysis, documentation, and self-healing capabilities. Writes automation code, supports data pipelines and cloud infrastructure, manages on-call responsibilities, and partners with global stakeholders to resolve issues and improve service reliability.

Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Own test automation strategy and framework architecture for supply chain finance modules. Build Selenium and Cypress UI suites, RestAssured and Karate API tests, and Cucumber BDD scenarios. Integrate automation into CI/CD pipelines with quality gates and reporting. Validate Spark and Talend outputs, financial calculations, and data-platform workflows. Conduct performance testing against SLA targets and communicate bottlenecks to architects.

Define and deploy physical-design methodology for advanced SoCs/MCUs (3/5/16/22nm). Own flows for floorplan, power-plan, P&R, UPF, CTS, and formal/physical verification. Collaborate with cross-functional teams and EDA vendors, resolve blocking issues, benchmark tools, and automate flows using Perl/Tcl/Python to meet low-power, area, and timing convergence goals.

Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.

Designs and maintains scalable automated testing frameworks across enterprise applications. Responsibilities include UI, API, integration, performance, security, CI/CD, cloud-native, Salesforce, Python, .NET, and web application testing. The role establishes quality standards, automated quality gates, test data practices, defect investigations, quality metrics, and continuous improvement while mentoring junior QA resources.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Lead board bring-up and electrical characterization of evaluation boards and silicon (SoCs/MCUs/ASICs). Perform interface testing, power/clock validation, signal integrity and thermal analysis, correlate bench and ATE data, develop test scripts and automated setups, and document procedures and reports.

Lead system and functional testing for distributed cloud and hybrid file-data services. Architect Python and PyTest automation infrastructure, validate performance, scalability, and reliability, analyze complex system issues, and champion testability and quality practices. Serve as a testing subject matter expert, mentor engineers, collaborate across product and engineering teams, and lead complex test initiatives with minimal supervision.

Implement and integrate ASIC Design-for-Test features supporting ATE, in-system testing, debug, diagnostics, scan, ATPG, MBIST, JTAG, and BScan. Collaborate with design, verification, and physical design teams across RTL integration, simulation, implementation, and post-silicon validation. Develop DFT IP, debug gate-level simulations and ATE patterns, and contribute to testability flows using industry EDA tools and scripting languages.