Top Python Jobs in Hyderabad

Deploy, administer, and support enterprise Red Hat OpenShift and Kubernetes platforms across hybrid cloud environments. Responsibilities include cluster and node management, application onboarding, CI/CD integration, service mesh and registry administration, persistent storage, access control, automation with Ansible, GitOps with ArgoCD, monitoring, troubleshooting, and 24×7 rotational operations support.

Leads software engineering processes and implementations focused on reliability, scalability, security, performance, and maintainability. Develops and integrates Java and Angular applications, microservices, event-driven architectures, and cloud or on-premise solutions. Collaborates with infrastructure and cross-functional teams, evaluates technologies, supports solution design, estimates project costs, develops automated tests, troubleshoots issues, and applies CI/CD and software development best practices.

Administer and support IBM MQ Series and Aspera managed file transfer platforms across enterprise environments. Responsibilities include configuration, clustering, channel security, high availability, monitoring, troubleshooting, upgrades, patching, backup and disaster recovery, certificate management, performance tuning, and incident response. The role supports message and file delivery SLAs, maintains operational documentation, collaborates with engineering teams, and participates in a rotational weekend on-call schedule.

Designs, executes, and maintains manual and automated tests for enterprise applications. Validates UI, APIs, databases, file-based workflows, regulatory reporting, integrations, and complex data transformations. Maintains requirements traceability, manages defects, supports CI/CD automation, and documents test evidence and status. Partners with engineers, product owners, and Scrum teams to improve testability, troubleshoot issues, and deliver secure, compliant software.

Lead Windows device fundamentals engineering, defining strategy and roadmaps for reliability, compatibility, performance, battery life, and sustainability. Manage complex cross-stack initiatives spanning hardware, firmware, operating systems, services, and applications. Use telemetry, experimentation, debugging, and statistical analysis to guide decisions, while recruiting, coaching, and retaining engineers and partnering with OEMs, silicon vendors, and Windows teams.

Lead architecture and hands-on implementation of secure, scalable Azure testing services, including load testing and managed browser automation. Design distributed multi-tenant systems, orchestration, APIs, CI/CD integrations, telemetry, and resilient production operations. Advance AI-assisted testing with responsible safeguards, mentor engineers, drive cross-team technical alignment, and participate in on-call support.

Supports IBM MQ messaging environments across production and non-production systems. Responsibilities include troubleshooting incidents, root cause analysis, provisioning, configuration, certificate management, monitoring, automation, documentation, recovery, and reliability improvements. The role collaborates with application, infrastructure, security, and engineering teams while supporting container, cloud, hybrid infrastructure, CI/CD, and platform modernization initiatives.

Lead the design, automation, and operation of CI/CD pipelines and cloud infrastructure across development, QA, and production environments. Manage AWS and on-premises resources using infrastructure as code, improve reliability and availability, optimize costs, enforce security practices, troubleshoot platform issues, and support development and QA teams. The role also includes documentation, training, capacity planning, cross-functional collaboration, and participation in 24/7/365 operational rotations.

Manage enterprise backup and recovery environments using Veritas NetBackup and Commvault. Monitor and troubleshoot backup, restore, replication, storage, and performance issues; conduct disaster recovery tests; maintain security controls, capacity, compliance, and platform health. Automate operational tasks with scripting and APIs, support cloud and infrastructure teams, manage ITIL processes, document recovery procedures, and drive continuous improvements across backup resilience, modernization, and operational standardization.

Leads enterprise Google Cloud architecture and delivery, translating business requirements into secure, scalable infrastructure solutions. Designs and implements GCP environments, cloud migrations, disaster recovery, high availability, governance, monitoring, and automation. Manages cloud operations, troubleshooting, incident response, performance, capacity, and cost optimization. Uses Terraform, CI/CD, Python, Shell, and Ansible while collaborating with application, network, security, database, SRE, DevOps, vendor, and executive stakeholders.

Lead design verification efforts for memory products by simulating, analyzing, and debugging pre-silicon full-chip designs. Develop test cases, stimulus, test benches, and test vectors; run regressions and improve functional coverage. Contribute to verification methodologies and flows, collaborate internationally, analyze gate-level timing and logic schematics, and identify opportunities for AI-based automation using validated enterprise-approved tools.

Designs, develops, and maintains infrastructure test automation and performance engineering solutions. Performs end-to-end performance, resiliency, recovery, scalability, and failover testing across cloud, container, and hybrid environments. Analyzes system metrics, bottlenecks, and test results; tunes applications and infrastructure; maintains monitoring tools; and supports root-cause analysis. Partners with engineering and project stakeholders, documents governance evidence, contributes to automation frameworks, and mentors junior team members.

Lead performance engineering strategy for critical enterprise applications and platforms. Develop and automate performance test scenarios, maintain traceability to requirements and defects, analyze test results, and drive defect remediation. Collaborate with architecture, development, infrastructure, and product teams on scalability, resilience, environments, and test data. Mentor engineers, improve testing frameworks and coverage, and influence performance-related technology decisions across distributed, cloud, database, and messaging environments.

Perform functional, regression, integration, end-to-end, and compatibility testing for Android and iOS applications. Develop and maintain Appium-based automation frameworks, validate APIs, troubleshoot network traffic with Charles Proxy, and analyze mobile logs. Design test cases, investigate defects, and support release quality. Apply AI tools to testing and evaluate LLM, RAG, and AI-agent features for accuracy, relevance, reliability, grounding, and hallucination risks.

Own the backend API and data-serving layer for a customer-facing metrics platform. Build and evolve FastAPI services, PostgreSQL data models, migrations, authentication, tenant isolation, performance optimizations, and metric reconciliation. Contribute to React and TypeScript development, testing, observability, production support, and cross-functional analytics work. Ensure accurate, secure, performant reporting through end-to-end feature ownership and strong data validation.

Own production reliability for a real-time, multi-tenant platform, including SLOs, error budgets, incident response, scaling, observability, capacity planning, chaos engineering, and safe deployments. Automate remediation using Go or Python, operate event-driven systems and cloud infrastructure at scale, lead incident communications, and maintain uptime through monitoring, load testing, canary releases, and rollback controls.

Leads verification strategy and execution for automotive connectivity SoCs, developing SystemVerilog/UVM environments, firmware-driven tests, C DPI models, coverage plans, and protocol verification. Debugs RTL, software, and system-level issues; supports functional safety, fault injection, FPGA prototyping, silicon bring-up, and post-silicon validation. Collaborates cross-functionally, improves verification automation and methodology, mentors engineers, and drives verification closure for complex processor-based semiconductor products.

Develop and maintain SystemVerilog/UVM verification environments for automotive connectivity SoCs. Create directed and constrained-random tests, integrate C DPI models, analyze coverage, execute regressions, debug RTL and firmware interactions, and verify processors, communication interfaces, mixed-signal subsystems, and E2B functionality. Support functional safety and ISO 26262 activities, automate workflows, document verification results, and collaborate with design, firmware, architecture, and validation teams.

Leads verification engineering teams developing automotive connectivity SoCs. Defines verification strategies, coverage goals, methodologies, infrastructure, and sign-off criteria for processor-based systems incorporating firmware, security, communications, memory, and mixed-signal components. Oversees E2B protocol verification, formal and assertion-based verification, debugging, safety analysis, ISO 26262 compliance, tapeout readiness, resource planning, and cross-functional collaboration. Requires hands-on expertise in SystemVerilog, UVM, DPI, SoC verification, and hardware-software co-verification, plus substantial people-management experience.

Develop and maintain SystemVerilog/UVM verification environments for automotive connectivity SoCs. Create directed and constrained-random tests, integrate C DPI models, analyze coverage, execute regressions, debug RTL and firmware interactions, and verify processors, communication interfaces, mixed-signal subsystems, safety mechanisms, and E2B functionality. Collaborate across design, architecture, firmware, validation, and functional safety teams while documenting verification plans, results, and closure activities.

Leads verification strategy and execution for automotive connectivity SoCs. Develops SystemVerilog/UVM environments, firmware-driven tests, C DPI models, coverage plans, and protocol verification. Debugs RTL, embedded software, and system-level issues; supports functional safety, fault injection, FPGA prototyping, silicon bring-up, and post-silicon validation. Collaborates cross-functionally, improves verification automation and methodology, mentors junior engineers, and drives verification closure.

Leads verification strategy and execution for automotive connectivity SoCs. Develops SystemVerilog/UVM environments, firmware-driven tests, C DPI models, protocol verification, coverage plans, and automation. Debugs RTL, software, and system-level issues; supports functional safety, fault injection, FPGA prototyping, silicon bring-up, and post-silicon validation. Collaborates across architecture, design, firmware, safety, and validation teams while mentoring engineers and driving verification closure.

Lead backend engineer responsible for designing and maintaining scalable Python services, APIs, event-driven AWS systems, data layers, RAG pipelines, and production AI agents. The role covers distributed systems, authentication, observability, infrastructure automation, dbt and Airflow data-platform workflows, reliability, security, testing, and CI/CD. The engineer will set technical direction, design service and API architectures, conduct code reviews, mentor teammates, and optimize AI quality, performance, cost, and security.

Leads cross-functional technology teams, provides technical mentorship, drives software and technology initiatives, develops technology roadmaps, evaluates new technologies, translates business requirements into technical solutions, improves processes, and manages vendor relationships and contracts. The role requires strong software development expertise, cloud knowledge, Agile experience, strategic thinking, stakeholder management, and 8–10 years of technology leadership experience.

Lead the architecture, modernization, automation, and performance optimization of SAS solutions on IBM Mainframe z/OS platforms. Design integrations with DB2, IMS, VSAM, COBOL, and JCL; optimize batch workloads and production operations; and ensure security, governance, and regulatory compliance. Partner with business and technical stakeholders to deliver scalable analytics environments, support modernization and cloud integration, mentor teams, and provide architectural guidance for business-critical enterprise systems.