Top DevOps Jobs in Hyderabad

Develop, maintain, and troubleshoot cloud-native applications using front-end and back-end technologies. Implement CI/CD and DevOps practices, collaborate with global teams, and follow Agile methodologies to support MetLife's digital and AI transformation.

Lead design and development of cloud-ready .NET Core applications with Angular UIs, REST APIs, SQL/SSIS ETL, CI/CD pipelines, and Azure/Kubernetes deployment. Troubleshoot, optimize performance, remediate security issues, and coach developers. Implement DevOps best practices, support Power BI/AI integrations, and deliver high-quality, timely solutions.

Lead design, development, and optimization of ServiceNow ITSM solutions. Configure ITSM modules, script with Glide/JavaScript, build integrations (REST/SOAP, IntegrationHub), manage platform administration and upgrades, support CMDB and automation, mentor junior developers, and collaborate with stakeholders in Agile delivery to improve ITIL-aligned processes.

The Software Engineering Manager - DevOps Manager is responsible for overseeing the DevOps team, managing software deployments, and ensuring efficient development processes to enhance CI/CD practices.

Design, develop, test, and maintain scalable web and microservice-based applications. Collaborate with product and architecture teams, ensure code quality and operational excellence, mentor junior engineers, participate in code reviews, and drive continuous improvement across the full software development lifecycle.

The Software Engineer will develop, maintain, and support applications, applying good software engineering principles and participating in quality improvement efforts.

The Workflow Automation Engineer will design and implement automated workflows using N8N, Tray.ai, and AI technologies, collaborating with teams to enhance operational efficiency and deliver scalable solutions.

The Lead Software Engineer will design, develop, and maintain Coupa's SaaS products, collaborating with teams to enhance platform functionality and governance, ensuring customer success.

Provide hands-on technical guidance and support across Java, Node.js, JavaScript, React, MongoDB, Ionic, REST APIs and microservices. Deliver end-to-end support including solution design, security, debugging, performance tuning, data modeling, and API design. Implement CI/CD, Agile, and DevOps best practices and apply SDLC methodologies. Use Microsoft Office tools for documentation and design.

The role involves maintaining VMware and Jenkins infrastructure, automating tasks using Terraform, Ansible, and Packer, and supporting engineering teams in build and release processes.

Design, configure, and support packaged/SaaS Salesforce applications. Own end-to-end technical architecture, lead development teams, integrate Generative AI into workflows, ensure scalability, performance, security, CI/CD and integrations, mentor engineers, and deliver reusable enterprise solutions across multiple workstreams.

Configure and support packaged/SaaS applications with a focus on Salesforce technical architecture. Lead end-to-end design, integrations, CI/CD, and AI-enabled solutions. Mentor teams, enforce governance and non-functional requirements, and deliver reusable, scalable Salesforce implementations integrating generative AI tools.

Lead technical architecture and delivery for Salesforce implementations, integrating Generative AI into workflows. Design scalable, secure solutions, oversee CI/CD and integrations, mentor teams, conduct design reviews, and ensure platform performance and governance.

The Packaged/SaaS Application Engineer configures and supports SaaS applications, ensuring stability and alignment with business needs while driving AI adoption across Salesforce platforms.

Lead design and governance of Salesforce Data Cloud (Data 360) architectures. Build enterprise-scale ingestion, unification, identity resolution, data modeling, and activation solutions. Integrate Data Cloud with Salesforce clouds and external systems, run architecture reviews, define reusable frameworks, ensure performance, security and governance, mentor teams, and drive adoption of AI-enabled and real-time activation use cases.

Design, build, govern, and deploy Salesforce Agentforce intelligent agents across enterprise implementations. Define orchestration, prompts, intents, workflows, integrations, and scalable architectures. Lead and mentor teams, run design reviews and workshops, ensure performance, security, CI/CD, and adoption of agent-based best practices.

Lead technical design and architecture for Salesforce implementations, integrate Generative AI into workflows, govern scalable solutions, mentor teams, oversee non-functional requirements, and drive reusable, enterprise-grade Salesforce engineering practices.

Lead architecture, design, build, and governance of Agentforce-based Salesforce solutions. Develop intelligent agents, orchestration, prompts, workflows, and integrations while ensuring scalability, performance, security, and release governance. Mentor teams, run technical workshops, and define reusable frameworks and best practices.

Lead Salesforce technical architecture and delivery for packaged/SaaS solutions. Design scalable, secure Salesforce implementations, integrate AI-driven workflows, guide CI/CD and DevOps, mentor teams, perform code and design reviews, resolve platform limitations, and produce reusable enterprise solutions aligned with governance and best practices.

The role involves owning the technical architecture for AI core platforms, leading technical teams, and integrating AI solutions across Salesforce and enterprise applications.

As a Packaged/SaaS Application Engineer, you'll provide strategic technical leadership for AI core platforms, leading architecture governance and overseeing AI-first development practices across Salesforce and multi-cloud environments.

Lead design, build, governance, and deployment of enterprise Salesforce Data Cloud (Data 360) solutions. Architect data ingestion, identity resolution, activation, and integrations across Salesforce clouds, mentor teams, ensure performance, security, governance, and drive adoption of AI-enabled use cases.

Design and implement scalable Data 360 solutions within Salesforce, ensuring data governance and collaborating on customer data strategies across various Salesforce clouds.

Lead Salesforce technical architecture and delivery for packaged/SaaS solutions. Design scalable integrations, govern multi-workstream architectures, integrate generative AI, oversee performance/security, enforce best practices, mentor teams, and drive reusable, enterprise-grade solutions.

Lead Salesforce technical architecture and delivery for packaged/SaaS solutions, integrate Generative AI into workflows, govern scalable designs, mentor teams, enforce best practices, and resolve platform and integration issues.