Top Python Jobs in Hyderabad

Lead EDI and B2B integration design and delivery: create best practices, translate client blueprints into project tasks, mentor engineers, maintain customer solutions, drive quality, perform impact analysis, implement mappings (ANSI X12/EDIFACT/IDoc) and integrations, and manage testing, validation, and documentation.

Lead test engineering teams to design and execute system integration and automated tests across UI, services, and APIs. Develop and maintain reusable automation frameworks, test plans, and procedures; partner with product, development, and DevOps; track execution, risks, and environment/data dependencies; ensure process compliance and mentor junior engineers.

Lead test engineering for enterprise applications: design, develop, and maintain automated functional and non-functional tests (UI, API, database, performance); drive test automation strategy, CI/CD adoption, environment/data management, risk controls, and mentor junior engineers while coordinating with product, development, and DevOps teams.

The Senior Full Stack Engineer will design, develop, and test new features for an analytics platform. Responsibilities include collaborating across teams on both server-side and front-end development, utilizing technologies like Python, Java, and Angular, and integrating with APIs.

The QA Engineer will design test strategies and implement automated tests for high-performance analytics products, ensuring quality throughout the product lifecycle.

The Senior Site Reliability Engineer will manage production systems focusing on reliability and performance, build AWS infrastructure, and automate operations using Python and Terraform.

Own the architecture and technical direction of large-scale distributed applications. Build secure, scalable Python backend services, contribute to Java services, guide platform strategy, mentor engineers, and establish engineering standards. Improve reliability, observability, automation, developer experience, security, testing, and operational excellence. Use AI-assisted development tools responsibly to increase productivity while maintaining software quality. Collaborate cross-functionally and lead through technical excellence, pragmatic architecture, and strong ownership.

Architect and operate scalable, reliable infrastructure across Kubernetes, AWS, RDS, and distributed microservices. Lead capacity planning, benchmarking, observability, alerting, SLA enforcement, security, CI/CD, and infrastructure roadmap initiatives. Apply AI and automation to improve reliability and developer productivity. Optimize databases and production systems, identify bottlenecks, mentor engineers, and translate business objectives into technical roadmaps. The role requires strong Golang, backend, SRE, distributed systems, database, and cloud expertise.

Provide Tier 2/3 network engineering and security support for managed services clients: plan and execute network projects, configure and maintain firewalls/VPNs, perform assessments, patching, upgrades, troubleshooting, documentation, and participate in on-call rotations and after-hours change windows.

Lead development, automation, and maintenance of physical implementation EDA flows; optimize PPA and TFM for IP/SoC in advanced nodes; manage regression infrastructure; perform digital implementation using Cadence tools; automate full-chip floorplanning with AI; collaborate across teams and lead design efforts.

Design, implement, and maintain AWS-based CI/CD solutions using Jenkins. Manage build environments, operating systems, software, and multiple AWS accounts. Collaborate across teams to develop DevOps solutions, promote agile practices, and troubleshoot CI and production issues. The role also involves applying AI tools, coding assistants, agents, MCPs, and agentic SDLC practices to improve testing, troubleshooting, and workflows.

Design, build, and maintain automation test frameworks and pipelines using Selenium, Cucumber, TestNG and DevOps tools. Write automated scripts in Python/Java/JavaScript, execute web, API and mobile tests, manage test environments, report metrics, mentor team members, and support CI/CD-driven test execution.

Lead SRE responsible for platform reliability, incident management, automation, observability, and production stability across cloud-native and Kubernetes environments. Mentor teams, run RCA, define SLIs/SLOs, automate operations, manage Apigee APIs, and support CI/CD and IaC initiatives to improve availability and performance.

Oversee, scale, and optimize high-density AI hardware infrastructure across regional data centers. Build Python automation and infrastructure-as-code tooling, integrate incident workflows, develop telemetry pipelines and monitoring dashboards, and improve reliability across private cloud, bare-metal, and virtualized environments. Lead on-call incident response, runbooks, post-mortems, service rollouts, vendor coordination, and field technician activities while driving uptime, performance, and operational readiness.

Develop Python applications, APIs, automation tools, and platform capabilities while supporting CI/CD, Docker, Kubernetes, cloud and on-premise deployments. Implement observability, monitoring, alerting, and SRE practices including SLIs, SLOs, error budgets, incident response, disaster recovery, and root cause analysis. Troubleshoot production systems, automate recurring operational work, maintain documentation, and collaborate across engineering, security, platform, product, operations, and external teams.

The Release Engineer designs, implements, and maintains CI/CD pipelines, collaborates with teams for software deployment, and advocates for engineering excellence through automation and best practices.

Design, build, and maintain Workday Extend custom applications: create Pages, Business Objects, Orchestrations, and Canvas UIs; integrate with REST/SOAP APIs; monitor and troubleshoot apps; manage security groups, versioning, WQL performance tuning, and CI/CD promotions across Sandbox and Production.

As a WLAN Engineer in SQA, you will design and execute various tests, automate testing processes, and work closely with development teams to ensure software quality for Silicon Labs IoT products.

The Staff Verification Design Engineer is responsible for verifying block and chip designs, developing tests, running simulations, and ensuring tape-out quality for semiconductor projects.

Design and architect large-scale GPU clusters across compute, networking, and storage. Model performance for AI/ML workloads, define low-latency interconnects (InfiniBand/RoCE), integrate storage, and operationalize reliability and monitoring with SRE, networking, and storage teams.

Design, implement, and maintain Adobe Experience Platform solutions including XDM schemas, data ingestion pipelines, identity resolution, RT-CDP and Journey Optimizer integrations to enable segmentation, personalization, audience activation, and platform governance.

Develop, test, and deploy Java/Scala microservices for supply-chain-finance modules. Build Spark batch/streaming jobs, design Kafka event pipelines, integrate bank/ERP systems via Talend/REST, and produce Jasper reports. Maintain Kubernetes deployments, ensure ≥80% unit-test coverage, troubleshoot via Elasticsearch and Prometheus/Grafana.

We are looking for a Full Stack Developer with 5+ years of experience in high-quality code, proficient in MERN, Python, and cloud services, to optimize scalable APIs and enhance development speed using AI tools.

Lead the development of a data platform using Apache technologies, optimize distributed data systems, and contribute to the open-source community by driving project direction and enhancing functionality.

Lead and evolve SRE best practices, observability, and incident response. Design and automate cloud infrastructure, Kubernetes platforms, and IaC. Mentor engineers, drive large platform initiatives, reduce operational toil, and improve reliability, scalability, performance, and security across services.