Top Python Jobs in Hyderabad

Design and enhance automation frameworks for cloud-native observability platforms. Own end-to-end testing, including strategy, test design, execution, reporting, defect tracking, and release readiness. Implement CI/CD-driven automation and validate APIs, integrations, distributed systems, data pipelines, and event-driven architectures. Collaborate with engineering, product, DevOps, and operations teams to improve quality, reliability, scalability, and Agile delivery while applying AI-assisted testing tools.

Leads end-to-end quality assurance and automation for cloud-native, microservices-based telecommunications systems. Responsibilities include designing test strategies, architecting scalable automation frameworks, translating requirements into test plans, validating subsystem integration and system performance, identifying quality risks, troubleshooting defects, and mentoring engineering teams. The role also advances AI-assisted and agentic testing capabilities while collaborating with customers, product managers, architects, and developers.

Lead the architecture, design, development, deployment, and maintenance of scalable backend systems, distributed services, and mission-critical REST and GraphQL APIs. Provide hands-on technical guidance, mentor engineers, establish coding standards, oversee code quality, and drive end-to-end delivery. Design asynchronous pipelines, microservices, database solutions, cloud deployments, CI/CD processes, observability, and secure cloud-native architectures on AWS.

Design and maintain scalable Python microservices, REST APIs, WebSockets, background jobs, and event-driven systems. Deploy AWS infrastructure using Terraform or AWS CDK, build CI/CD pipelines, optimize PostgreSQL, DynamoDB, and Redis data layers, and enforce secure authentication and access controls. Develop frontend features with React, Next.js, and TypeScript, while integrating AI/LLM capabilities, agentic frameworks, RAG workflows, and vector databases. Lead backend architecture and ensure quality through automated testing and LLM evaluations.

Design and implement globally distributed, scalable, low-latency DNS services on Azure. Own components end-to-end, write high-quality performant code, manage safe deployments, monitor and respond to incidents, integrate DDoS protections, and mentor teammates.

Lead software quality engineering for applications and infrastructure supporting global financial markets. Responsibilities include developing and executing functional and automated test suites, building Selenium and Cucumber solutions, conducting API and web services testing, maintaining QA and UAT environments, coordinating builds and production deployments, supporting release planning, and improving test coverage through gap analysis. The role collaborates with development, database, integration, and customer support teams while advocating testing best practices.

Monitors and improves the reliability, availability, performance, and scalability of systems and infrastructure. Responds to incidents, troubleshoots issues, supports software and infrastructure deployments, automates routine tasks, assists with capacity planning, documents incidents, participates in root cause analysis, and applies security and compliance best practices in collaboration with development, operations, and security teams.

Monitors and improves the reliability, availability, scalability, and performance of systems and infrastructure. Responds to incidents, troubleshoots issues, supports software and infrastructure deployments, automates routine tasks, assists with capacity planning, documents resolutions, participates in post-incident reviews, and applies security best practices. The role collaborates with development, operations, and security teams while developing expertise in site reliability engineering.

Design, build, and maintain enterprise OpenShift and Kubernetes platforms across private and hybrid cloud environments. Develop automation with Go, Python, Ansible, APIs, Kubernetes Operators, and IaC practices. Implement GitOps and CI/CD workflows, observability, self-service capabilities, and automated reliability mechanisms. Support containerized and virtualized workloads, integrate enterprise systems, improve developer experience, and mentor teams on engineering and automation best practices.

Develop full-stack web applications for Netskope’s security products, implementing reusable React or Angular UI components and supporting WebUI backend services. Collaborate with backend teams across machine learning, threat, DLP, IaaS, and API technologies. Ensure cross-browser compatibility, optimize application performance, apply secure development practices, and evaluate emerging web technologies and AI-assisted coding tools.

Architects, implements, and manages enterprise on-premises and cloud storage supporting semiconductor EDA workflows. Responsibilities include performance and capacity monitoring, scalability planning, backup and disaster recovery, security and compliance, documentation, cross-functional collaboration, technical execution, and mentoring. The role requires deep expertise in SAN/NAS platforms, storage protocols, automation scripting, replication, recovery, and high-throughput infrastructure environments.

Develop and execute quality assurance strategies, test plans, functional and regression tests for cloud-based enterprise applications. Automate UI, CLI, and API testing; build frameworks and scripts for acceptance, scalability, and performance testing. Track and troubleshoot defects, collaborate with engineering teams, promote testing best practices, and mentor QA engineers.

Design, build, and maintain high-volume mainframe business logic and optimize mission-critical applications. Debug complex system interactions, improve performance, and extract legacy business logic for migration or integration with cloud-based services. Develop scalable software using modern architectures, databases, APIs, containers, and messaging technologies while supporting mainframe modernization and cloud/mobile application integration.

Build and operate scalable backend and distributed systems in cloud environments. Own software problems from design through deployment, improve architecture, reliability, automation, and observability, and contribute to engineering excellence and mentorship. The role involves microservices, API gateways, event streaming, container orchestration, DevOps, CI/CD, and debugging production systems. Bonus experience includes agentic AI applications, LLM frameworks, MCP servers, and startup product development.

Build, test, deploy, and maintain production automations using n8n, custom code, AI models, APIs, and PostgreSQL pipelines. Identify high-value automation opportunities, integrate unfamiliar systems, validate data integrity, manage CI/CD, monitor reliability and cost, respond to incidents, and resolve recurring failures. Collaborate with stakeholders and audit teams on security, compliance, and process quality while researching emerging automation and AI technologies.

Lead design-for-test (DFT) for advanced ASICs: define and implement DFT/IP, collaborate with RTL and physical teams, drive ATPG/AT E and post-silicon validation, debug test logic, and integrate testability throughout implementation and validation flows.

Ownership of AWS EKS infrastructure and CI/CD pipelines (Terraform, GitHub Actions, Concourse, Jenkins). Implement observability, automation with Python, and maintain Docker/Helm deployments. Secondary focus on building scalable Django/Python backend APIs, PostgreSQL optimization, and integrating AWS services (SQS, S3, Lambda).

Design, build, and operate enterprise automation solutions across cloud and on-prem platforms. Develop software and CI/CD pipelines (C#, Python, PowerShell, Bash, Terraform), administer Azure and AKS, ensure platform reliability, security, compliance, and lifecycle management, support production incidents, and contribute to enterprise automation strategy and governance.

Own the quality engineering strategy and platform across Android, web, API, and backend systems. Design and maintain comprehensive manual and automated testing for complex distributed architectures, lead root-cause analysis, define quality metrics, integrate testing into CI/CD, and certify releases and production hotfixes. Collaborate with product, engineering, and DevOps teams, conduct QA automation code reviews, identify production risks, monitor field issues, and mentor junior quality engineers.

Design, implement, and manage AWS cloud infrastructure and CI/CD pipelines. Automate build, test, and deployments using Jenkins/GitHub/Harness and Python/Shell. Configure VPC, subnets, load balancers, Route 53, IAM, and security groups. Monitor systems with CloudWatch, handle production incidents and RCA, optimize cost and scalability, and collaborate with development and infrastructure teams to drive DevOps best practices and documentation.

Designs, develops, executes, and maintains automated tests across the software delivery lifecycle. Builds and enhances test automation frameworks, maintains traceability between requirements and automated scripts, performs functional, regression, integration, backend, API, database, and unit testing, and integrates continuous testing into CI/CD pipelines. Collaborates with development and business teams to troubleshoot issues, improve software quality, and address privacy, security, risk, and control requirements.

Designs, implements, and operates cloud platforms; monitors and optimizes performance; automates deployments and maintenance; ensures cloud security and compliance; administers patching, backups, and capacity management; troubleshoots issues and mentors teams to support hybrid cloud environments and cloud-based application development.

Design, develop, and maintain Python-based test automation frameworks for web and mobile applications. Create automated tests with Selenium, Playwright, and Appium; implement BDD practices; integrate testing into CI/CD pipelines; execute regression, smoke, and functional suites; analyze defects and logs; support test planning, quality metrics, and manual exploratory testing.

Lead the architecture, reliability, scalability, and security of Kubernetes infrastructure and CI/CD pipelines. Build infrastructure as code, establish observability standards, improve deployment velocity and self-service, lead incident response, implement SLOs and SLIs, evaluate platform tooling, and mentor engineers. The role requires hands-on production Kubernetes expertise, Linux troubleshooting, scripting, pipeline security, deployment strategies, and infrastructure automation, with on-premises and GPU infrastructure experience as potential advantages.

Administer PostgreSQL, Cassandra, and ClickHouse databases for high-volume fintech workloads. Design schemas, indexes, partitioning, replication, disaster recovery, and point-in-time recovery strategies. Tune performance, automate operations with Shell and Python, manage access controls and compliance, resolve production incidents, document systems, and provide 24/7 on-call support while collaborating with application and engineering teams.