Top Python Jobs in Hyderabad

The Senior Cloud Engineer will enhance CI/CD pipelines, manage Kubernetes clusters in cloud environments, automate infrastructure, and mentor junior engineers.

The Data Engineer will build and maintain ETL pipelines, manage data integration, and implement solutions using AWS technologies and various programming languages.

Lead integration engineering efforts by designing and maintaining the integration layer, focusing on APIs, event-driven systems, and secure file transfers.

Lead front-end design of advanced SoCs focusing on AI workloads, overseeing RTL design, verification, and physical design collaboration while mentoring high-performing teams.

The Senior Programmer III will produce and validate datasets using SAS, mentor junior programmers, and ensure quality in clinical trial data management.

The Solutions Architect will design and implement solutions to scale the Arcesium technology platform, manage risks, and collaborate with various teams while mentoring others.

Design and architect cloud-native data solutions, build data pipelines, implement data governance, and provide technical leadership on data architecture best practices.

As a Systems Administrator II, maintain and optimize enterprise systems and infrastructure, ensuring system reliability, implementing security measures, and managing applications/tools.

This role involves managing critical incidents, advanced troubleshooting of AWS services, mentoring junior engineers, and contributing to internal tools. Requires extensive AWS experience and skills in incident response and communication.

The role involves verifying block and chip-level designs, developing tests, and supporting post-silicon validation in the semiconductor industry.

The role involves providing technical support, validating solutions, designing prototypes, creating documentation, collaborating with teams, and staying updated on advancements.

The Staff Verification Design Engineer will perform RTL and AMS verification, develop tests, run regressions, and improve verification scalability. The role includes collaboration with design teams and post-silicon support.

The Senior Site Reliability Engineer will manage production environments, improve software reliability and performance, and collaborate with teams on system design and automation.

The Senior Staff Engineer will lead development projects, mentor junior developers, and innovate solutions for complex technical challenges, primarily using data engineering and analytics.

As a Staff SDE, you will design and implement scalable backend systems for data collaboration, leading the development of microservices and improving system performance.

As a Realtime DevOps Engineer, you will design and implement scalable solutions, manage production systems, and troubleshoot complex issues in high-traffic environments. You will collaborate cross-functionally and leverage cloud technologies and container orchestration.

The R&D Specialist role involves developing and testing features, ensuring product quality, and improving R&D efficiency in a cloud-based telecom environment.

The Software QA Engineer II designs, develops, and executes automated test scripts for SaaS applications, collaborating with teams to ensure quality and improve testing processes.

The Software QA Engineer II develops automated test scripts, validates features, collaborates with teams for comprehensive testing, and enhances testing processes for SaaS applications.

Successful candidates will undergo a 6-12 week training program and then work on designing and maintaining technology solutions for client companies while receiving ongoing support and training.

The DevOps Engineer will manage deployments, maintain environments, and implement CI/CD solutions, focusing on Kubernetes and automation tools while ensuring DR drills and infrastructure management.

The R&D Specialist is responsible for analysis, development, and implementation of registers features, ensuring product quality and addressing customer issues while considering performance and robustness in telecom products.

Maintain and scale cloud-native platform infrastructure: manage Kubernetes (GKE/EKS), build Terraform modules, standardize deployments with Helm, implement GitLab CI/CD, enhance observability (Prometheus/Grafana/Datadog), automate tooling in Python/Go/Shell, participate in on-call rotation, perform RCAs, and collaborate with development teams to improve reliability.

The Senior AI QA Engineer will oversee test planning, automation framework development, API testing, and ensure high-quality AI solutions. Responsibilities include end-to-end testing across AI/ML systems, collaboration with data and DevOps teams, and mentoring junior QA members.

The Senior DevOps Engineer will design, implement, and automate cloud platform components, ensuring operational excellence and reliability across large-scale systems while collaborating with engineering teams and managing production environments.