Top Engineering Jobs in Hyderabad

The Data Engineer will design, develop, and maintain data pipelines and warehouse solutions using VaultSpeed, focusing on data integration and governance.

Lead technical delivery of software projects for Life Asia, collaborate with business teams, and maintain insurance industry knowledge to support policy administration systems.

The Site Reliability Engineer will support multi-tier Java applications, develop CI/CD capabilities, manage incidents, and ensure high availability in a hybrid-cloud environment.

The role involves participating in software design, writing production-quality code, and developing critical modules using TDD and DevOps practices.

The CloudOps Engineer will manage AWS services, drive SRE practices, automate operations, and ensure cloud security and compliance while overseeing incident response and troubleshooting.

The Senior Software Engineer will lead technical delivery, engage with business stakeholders, and ensure the integration of solutions with OpenText Exstream. Responsibilities include guiding junior members, managing projects, and maintaining compliance with industry standards.

The role involves consulting on ServiceNow best practices, leading technical project delivery, developing custom applications, and managing instance upgrades.

The iOS Developer will design, develop, and maintain high-quality iOS applications, collaborating with teams to deliver innovative solutions.

Responsible for developing responsive web-based user interfaces, collaborating with the engineering team, and building front-end architecture and supporting APIs.

Seeking a Senior MLOps Engineer experienced in Databricks to build and scale automated ML platforms, collaborating with data scientists and DevOps teams.

Responsible for building and maintaining scalable data pipelines on Databricks. Collaborates with data scientists and stakeholders to ensure high-quality data for analytics and ML.

Seeking a Senior Data Engineer with 6+ years of experience to design and optimize data pipelines for intelligent systems, utilizing modern data platforms and cloud services.

Seeking a senior AI/ML engineer with 6+ years experience to design and scale AI/ML platforms, innovate, mentor, and solve complex data challenges.

Responsible for designing, developing and maintaining full-stack applications with a focus on Python backend. Collaborate with teams to build scalable software solutions.

Responsible for RTL SoC verification of ARM CPUs using UVM. Lead project developments and collaborate with various teams during ASIC development.

The ASIC Design Engineer will develop and implement SoCs, optimize performance, work closely with teams across ASIC development, and debug on FPGA platforms.

The Fullstack Engineer will design and develop solutions for .NET web applications, conduct code reviews, troubleshoot issues, and communicate with clients about work progress.

The Cloud Engineer leads Azure migrations, designs scalable solutions, implements IaC with Terraform, ensures security, and optimizes performance while collaborating with teams.

The QA Engineer will develop and implement test strategies, conduct various types of testing, and ensure software quality throughout the development lifecycle.

Seeking an experienced Generative AI Engineer to develop enterprise AI solutions, automate workflows, and design interoperable AI agents while collaborating across cloud platforms.

The Frontend Developer will design and maintain web applications, translating business requirements into technical solutions, performing code reviews, and ensuring best practices adherence.

The DevOps Engineer will manage software releases, configure CI/CD pipelines, automate infrastructure provisioning, and ensure optimal Azure environment security and compliance.

Design and maintain microservices and data solutions, collaborate on AI/ML model integration, ensure system performance, and support engineering culture.

The Data Engineer is responsible for developing orchestrated data pipelines using technologies like DBT and Airflow, ensuring data accuracy for business decision-making.

The .NET Backend Developer will design and develop scalable backend systems, manage APIs, and optimize performance while collaborating with teams and following security best practices.