Top DevOps Jobs in Hyderabad

Leads and delivers enterprise-scale full-stack software initiatives using Java, Spring Boot, React, REST APIs, microservices, event-driven integrations, and cloud technologies. Designs, tests, deploys, and maintains secure, scalable applications; builds CI/CD automation; optimizes relational and NoSQL databases; troubleshoots production issues; supports modernization and cloud migration; and mentors engineers while collaborating with product, architecture, QA, and security teams.

Leads software engineering delivery for clinical applications supporting care management, provider integrations, and regulatory workflows. Manages engineering and QA teams, oversees architecture, sprint execution, coding standards, scalability, security, compliance, incident management, monitoring, and continuous improvement. Partners with clinical, product, architecture, and platform stakeholders while managing capacity, roadmaps, risks, and enterprise application delivery across global teams.

Leads teams of software engineers and engineering managers delivering Java full-stack capabilities. Owns technical strategy, architecture alignment, cloud modernization, security, scalability, deployment, risk mitigation, and application development. Partners with product, architecture, scrum, and vendor teams to resolve impediments and deliver roadmaps. Provides hands-on technical guidance, code reviews, mentoring, hiring, performance management, and resource planning while promoting Agile, DevOps, continuous improvement, and talent development.

Lead end-to-end development of complex platform features using Angular and Python or Spring Boot. Set technical direction, design scalable APIs and data models, improve reliability and performance, mature CI/CD pipelines, expand automated testing, translate ambiguous requirements into delivery plans, mentor engineers, and establish engineering best practices. Integrate generative AI capabilities, coding tools, agents, and MCP servers into internal developer platforms and engineering workflows.

Leads software engineering teams delivering resilient, scalable, 24/7 payment systems. Responsibilities include coaching engineers and managers, guiding architecture and modernization, resolving technical obstacles, ensuring security and platform stability, partnering with product and technology stakeholders, managing vendors and resources, and driving agile, DevOps, and talent-development practices.

Leads multiple engineering teams delivering scalable enterprise applications. Provides technical leadership in architecture, modernization, cloud adoption, engineering standards, AI adoption, and delivery execution. Manages programs, risks, dependencies, resources, stakeholders, and compliance while mentoring technical leads and engineers. Drives strategic planning, Agile delivery, operational excellence, and continuous improvement across cross-functional teams.

Leads software engineering and AI-enabled development for scalable web application platforms. Responsibilities include designing, coding, testing, debugging, maintaining backend and frontend systems, developing AI agents and automation tools, building CI/CD pipelines, working with databases, and applying Agile practices. The role requires strong Java and Spring expertise, web services knowledge, database skills, problem-solving ability, and experience using generative AI tools such as Copilot, Claude, and Gemini.

Lead technical strategy and solution architecture for complex, high-value GSI-led bids. Develop joint solutions, proposals, architectures, demonstrations, and executive presentations while coordinating MongoDB, partners, customers, sales, delivery, legal, and finance stakeholders. Translate business outcomes into scalable, secure MongoDB architectures and partner delivery models, identify risks and competitive threats, support strategic pursuits, create reusable bid assets, and mentor architects and partner technical teams.

Owns end-to-end software application design, development, testing, deployment, DevOps, and production support across Angular, .NET Core, Azure, SQL Server, and Kubernetes. Leads modernization, cloud-native architecture, automation, CI/CD, testing, production troubleshooting, and operational improvements. Uses AI-assisted engineering tools to improve code quality and delivery speed, collaborates with cross-functional teams on product roadmaps, and mentors engineers while ensuring security, compliance, reliability, and SLA performance.

Leads software engineering initiatives across the full application lifecycle, including architecture, coding, testing, debugging, documentation, upgrades, and deployments. Develops scalable Java-based web applications, RESTful services, microservices, and cloud-native solutions using Spring Boot, Angular or React, databases, and event-driven architectures. Provides technical leadership, resolves complex issues, guides junior engineers, supports Agile and DevOps delivery, and improves system resiliency and scalability.

Lead end-to-end development of AI platform features using Angular and Python or Spring Boot. Own architecture, APIs, data models, integrations, performance, reliability, CI/CD, testing strategy, and production delivery. Mentor engineers, drive technical direction, clarify ambiguous requirements, and promote engineering best practices. Build generative AI capabilities using LLMs, prompt engineering, RAG, AI coding tools, agents, and MCP servers.

Build and lead scalable business intelligence software, including backend systems, APIs, ETL pipelines, cloud data services, user interfaces, dashboards, and analytics capabilities. Own architecture, feature delivery, performance, reliability, testing, security, and data governance. Collaborate with product, analytics, data science, and business teams while mentoring engineers and driving technical excellence.

Leads quality engineering practices by designing Java-based automation frameworks, executing end-to-end and integration testing, validating environments, tracking defects, and ensuring test coverage. Develops and maintains automation code, performs database and RESTful service testing, creates test plans and cases, investigates issues, and mentors team members. Collaborates within Scrum teams, manages development environments, deploys to cloud environments, and uses AI coding tools to improve productivity.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, and mobile technologies. Troubleshoot production issues, apply cloud and AI/data best practices, and collaborate with global teams in an Agile environment. Follow CI/CD and DevOps practices while contributing to digital transformation initiatives.

Leads the technical direction, architecture, and full-stack development of large-scale ServiceNow product experiences. Designs scalable distributed systems and modern user interfaces, drives AI-powered capabilities such as LLM experiences and intelligent workflows, owns production reliability and security, influences cross-team engineering strategy, conducts architecture reviews, and mentors senior engineers. Partners with Product, UX, Data Science, and Platform teams to deliver customer-facing enterprise products and improve engineering standards.

Lead development of secure, scalable Java and cloud-native software products. Provide technical guidance, write and review production code, lead AI-assisted engineering adoption, and drive software lifecycle automation. Design and migrate microservices, APIs, and databases in production while ensuring observability, SRE, testing, security, and operational excellence. Lead small teams, influence broader engineering organizations, mentor engineers, and own technical estimates, timelines, and delivery outcomes.

Design, build, and support full-stack solutions for customer acquisition and account origination, including Java/Spring Boot services, REST APIs, microservices, and React or Angular interfaces. Improve reliability, performance, CI/CD, testing, observability, and secure development practices. Collaborate with Product, Design, and Data teams in Agile delivery, participate in architecture and code reviews, troubleshoot production issues, mentor engineers, and apply enterprise-authorized AI development tools responsibly.

Provides hands-on coaching and support to engineering teams adopting modern DevOps and software delivery practices. Assesses team needs, recommends tools and workflows, promotes CI/CD, testing, automation, release readiness, and operational feedback, and facilitates training and workshops. Helps resolve process and tooling challenges while fostering collaboration, accountability, quality, reliability, and continuous improvement across software, quality, product, and delivery teams.

Provides application and production support for a mission-critical nuclear-industry monitoring system. Responsibilities include developing and debugging .NET applications, troubleshooting application, infrastructure, and database issues, supporting SQL Server and data-platform integrations, monitoring system performance, conducting root-cause analysis, and collaborating on incident, change, DevOps, and release activities.

Provide L3/L4 operational support for complex Cisco Unified Communications and Collaboration environments. Manage Cisco voice, video, WebEx, SIP, CUBE, CUSP, Expressway, and gateway infrastructure; resolve incidents, implement changes, and support migrations. Coordinate vendors, conduct root-cause analysis, prepare technical solutions and estimates, improve processes, implement automation, mentor team members, and manage escalations and project deliverables.

Provide technical leadership and architecture for cloud-native enterprise applications. Drive implementation of DevOps, CI/CD, IaC, and secure, scalable APIs; mentor engineers; ensure observability, performance optimization, incident management, and compliance while collaborating with cross-functional teams.

Manage and mentor a cloud platform engineering team to design, operate, and evolve scalable, secure hybrid cloud platforms. Provide technical leadership, incident decision-making, cross-team coordination, governance, automation, and documentation while driving reliability, performance, and cloud migration initiatives.

Develop and operate cloud-scale software for Azure AI services, including monitoring, telemetry, diagnostics, alerting, deployment safety, operational intelligence, and incident automation. Investigate production issues, build dashboards and analytics, improve release engineering, and support reliable 24x7 services. Collaborate with engineering, operations, reliability, and support teams while applying distributed-systems, DevOps, AI-assisted engineering, and service supportability practices.

Leads technical development and delivery for complex software applications and platforms. Responsibilities include hands-on software engineering, system design, code reviews, troubleshooting, performance and reliability improvements, technical direction, secure coding, DevOps practices, and CI/CD. The role also involves mentoring engineers, line management where applicable, managing technical debt, overseeing application health and governance, collaborating with stakeholders, and driving engineering standards and innovation.

Designs, develops, tests, deploys, and maintains scalable enterprise applications, data platforms, cloud-native solutions, web applications, APIs, and microservices. Leads Snowflake data engineering, AWS architecture, CI/CD modernization, observability, troubleshooting, technical design, and architecture reviews. Uses AI-assisted development tools, mentors engineers, establishes engineering standards, and partners with cross-functional stakeholders to deliver secure, resilient, high-performance solutions.