Top Engineering Jobs in Hyderabad

The Site Reliability Engineer will monitor and ensure the reliability and performance of platforms using ELK and TICK stacks, bridging development and operations.

The Data Engineer will design, build, and maintain scalable data pipelines using Databricks, integrating data into systems and ensuring data quality and performance while collaborating with stakeholders.

Develop and maintain ecommerce platforms using Magento, collaborate with teams, resolve issues, and keep updated with trends.

As a Backend Engineer, you will develop and maintain core backend infrastructure, build integrations, and work closely with frontend engineers to enhance user experience.

As a Senior Backend Engineer, you will develop and maintain backend systems, collaborate with frontend teams, and leverage AI for finance solutions.

Design, deploy, and maintain AWS infrastructure using Terraform, optimize CI/CD workflows, and implement monitoring and logging for DevOps operations.

The Data Engineer will design and maintain data pipelines, optimize data warehousing, and ensure data quality and governance while collaborating with cross-functional teams.

As a QA Automation Engineer, you'll design and maintain automated test frameworks for data workflows, validate data quality, and ensure reliability across ETL/ELT pipelines while collaborating with data teams.

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

We are looking for a part-time WordPress Developer skilled in creating responsive websites using WordPress and Elementor, focused on design, maintenance, and user experience.

Develop and maintain web applications, manage performance and security, mentor junior engineers, and collaborate on system design.

The Staff Engineer (Full Stack) will develop web platform features, enhance performance, integrate analytics, and lead systems improvement in a remote, fast-paced environment.

The Salesforce Core Developer will design and maintain data solutions, optimize data models, develop integrations, implement data governance, and ensure data quality within Salesforce.

Develop and design full stack modules using MEAN/MERN stack with agile methodology, driving features from business to tech requirements.

The PHP Developer will design, develop, and maintain software applications, collaborate with teams to meet client needs, and ensure software quality through testing and troubleshooting.

Provide end-to-end support for customer issues, manage defect escalation, and communicate with cross-functional teams to ensure customer satisfaction.

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

The Senior Data Engineer will lead data architecture, mentor engineers, implement data solutions, and ensure data governance while collaborating across teams.

The GRC Engineer I will assist in implementing cybersecurity compliance frameworks, maintain documentation, perform control testing, manage projects, and communicate with clients.

Drive end-to-end product delivery, partner with clients, define requirements, and support effective engineering culture in a dynamic environment.

As a Senior Software Engineer at Fluxon, you will implement software, collaborate with teams, engage clients, and provide mentorship.

The Actimize Developer will implement Actimize solutions, develop custom models, configure case management systems, and write complex SQL queries for AML monitoring.

The AI/ML Engineer designs and deploys machine learning models, collaborates across teams, and translates business needs into AI solutions.

The AI/ML Engineer designs, develops, and deploys machine learning models, optimizing performance while collaborating across teams for AI-driven solutions.

The Senior AI Engineer will develop and maintain software solutions in a SaaS environment for life sciences, focusing on AI-powered applications and architectural decisions for data management and analytics.