Top DevOps Jobs in Bangalore

Lead the design, development, testing, deployment, and support of scalable Java full-stack software and distributed systems. Define technical direction, create design specifications, conduct architecture and code reviews, improve system quality, and mentor developers. Work with cloud infrastructure, CI/CD, DevOps, AI modernization, LLMs, databases, big data, and web services while collaborating across product, engineering, and customer support teams.

Build and maintain production-ready Java full-stack software and scalable web services using AI-native engineering practices. Lead technical design, architecture, implementation, testing, debugging, code reviews, and cloud DevOps initiatives. Improve existing systems, ensure quality and compliance, mentor developers, support customers, and collaborate across teams. The role requires experience with distributed systems, cloud infrastructure, databases, CI/CD, security, testing, AI modernization, and translating AI capabilities into business impact.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, design, implementation, testing, debugging, and performance improvement for scalable web services and distributed systems. Work with cloud infrastructure, DevOps, CI/CD, databases, big data, and AI technologies. Provide technical direction, conduct code and architecture reviews, mentor developers, support customers, and collaborate across teams to deliver secure, high-quality software products.

Lead the design, development, testing, maintenance, and modernization of scalable Java full-stack and cloud-based software. Establish technical direction, review architecture and code, improve system quality, investigate emerging technologies, and support production issues. Mentor engineers, guide cross-functional initiatives, and translate AI, automation, and cloud innovations into business impact. The role requires extensive experience with Java, distributed systems, cloud infrastructure, DevOps, big data, secure software practices, and highly available web services.

Build and maintain production-ready, scalable Java full-stack software using AI-native engineering practices. Responsibilities include technical design, architecture and code reviews, implementation, testing, debugging, codebase improvement, cloud and DevOps integration, quality and compliance enhancement, and technical documentation. The role leads complex projects, mentors developers, collaborates cross-functionally, supports customers, evaluates emerging technologies, and translates AI and automation innovations into business impact.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Responsibilities include designing scalable web services, implementing and testing software, conducting architecture and code reviews, improving existing systems, debugging distributed cloud applications, and supporting customers. The role requires technical leadership, cross-functional collaboration, mentoring, and expertise in cloud infrastructure, DevOps, security, databases, big data, machine learning, and LLM-based automation.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Responsibilities include designing scalable web services, implementing and testing software, improving code quality, debugging distributed systems, conducting architecture and code reviews, supporting customers, and mentoring developers. The role requires cloud, DevOps, database, security, testing, and big-data expertise, with opportunities to guide technical direction and collaborate across product and engineering teams.

Develop and maintain production-ready Java full-stack software using AI-native engineering practices. Design scalable web services and distributed systems, perform testing and debugging, improve code quality, and participate in architecture and code reviews. Collaborate with cross-functional teams, support customers, investigate technologies, and mentor developers. The role requires cloud infrastructure, DevOps, CI/CD, databases, big data, machine learning, and LLM knowledge, along with the ability to lead technical design and implementation.

Leads the design, development, deployment, and maintenance of scalable Java full-stack software and AI workflows across cloud and enterprise platforms. Responsibilities include architecture and code reviews, technical implementation, testing, debugging, documentation, code quality improvement, cross-functional collaboration, customer support, and mentoring developers. The role requires expertise in cloud infrastructure, DevOps, AI modernization, scalable web services, databases, security practices, and translating AI innovation into business value.

Design, deploy, and maintain AI workflows and scalable software across enterprise technology platforms. Lead technical architecture, Java full-stack development, code reviews, testing, debugging, cloud and DevOps initiatives, and software security improvements. Collaborate with cross-functional teams, support customers, mentor developers, investigate emerging technologies, and translate AI modernization opportunities into business impact.

Lead the design, deployment, implementation, testing, and support of scalable software and AI workflows across enterprise technology platforms. Develop Java full-stack applications, guide architecture and code reviews, improve existing systems, troubleshoot technical issues, and mentor engineers. The role requires expertise in cloud infrastructure, DevOps, CI/CD, scalable web services, testing, databases, security, AI modernization, and LLM-based engineering solutions, along with strong cross-functional communication and independent decision-making.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, technical design, implementation, testing, code reviews, debugging, and cloud-based SaaS delivery. Improve system quality, scalability, security, and operational processes while mentoring developers and collaborating across product, engineering, and customer support teams. The role requires translating AI, automation, and LLM innovations into business and productivity improvements.

Organize deployment of AI workflows across enterprise technology platforms, design scalable software architectures, and implement, test, maintain, and support Java-based applications. Lead architecture and code reviews, improve existing systems, investigate emerging technologies, troubleshoot customer issues, and mentor developers. The role requires cloud, DevOps, AI modernization, full-stack development, database, testing, security, and scalable web-services expertise, along with strong cross-functional communication and technical leadership.

Leads the design, development, implementation, and documentation of highly scalable cloud-based applications and platforms. Creates high- and low-level designs, drives technical decisions, collaborates with architects and global engineering teams, and partners with product and business stakeholders. Builds Java microservices and RESTful services using cloud, container, and DevOps technologies while ensuring quality, cost, and delivery objectives. The role also includes mentoring, team development, performance management, and driving strategic technical initiatives.

Supports the reliability, availability, performance, security, monitoring, and capacity of production and non-production systems. Responsibilities include release support, incident response and communication, service-level objective management, risk assessment, observability, root-cause analysis, and continuous improvement. The role requires production operations experience, AWS and DevOps expertise, Java-based systems knowledge, monitoring tools, resilience planning, and familiarity with ITIL practices and regulated financial services environments.

Designs, deploys, maintains, and troubleshoots enterprise WAN, IP core, MPLS, and data center networks. Coordinates network engineering projects, reviews HLDs, prepares LLDs, supports implementations, resolves operational issues, and optimizes network performance. Collaborates with vendors and global teams while contributing to automation, Infrastructure as Code, scripting, cloud networking, and continuous improvement initiatives.

Design, architect, build, optimize and troubleshoot cross-platform mobile applications using React Native and native Android (Java/Kotlin) and iOS (Swift/Objective-C). Own full development lifecycle in Agile, write unit tests, integrate REST/XML/JSON services, build React Native plugins, and support CI/CD and automated testing practices.

Provides hands-on technical leadership for healthcare software platforms in regulated environments. Responsibilities include software architecture and development, modernization, technical governance, secure coding, code reviews, mentoring, production support, incident resolution, observability, cloud modernization, compliant releases, and continual service improvement. The role partners with product, quality, validation, infrastructure, security, and business teams while applying GxP, risk-management, change-control, and AI governance practices.

Designs and operates scalable cloud-native platforms using AWS, Azure, Kubernetes, Docker, EKS, and AKS. Builds CI/CD pipelines, automates infrastructure, and applies GitOps, DevSecOps, and Infrastructure as Code practices. Manages observability, monitoring, AIOps, anomaly detection, alerting, log analytics, incident response, troubleshooting, and root-cause analysis. Requires an engineering or computer science degree and typically 8–12 years of experience. Cloud and Kubernetes certifications are preferred.

Leads the design, deployment, and management of enterprise storage, backup, and hybrid-cloud infrastructure. Manages NetApp, Infinidat, Commvault, and Rubrik environments; implements high-availability and disaster-recovery solutions; optimizes performance and ensures RTO/RPO compliance. Collaborates with development, security, and operations teams, automates infrastructure processes, monitors system health, resolves incidents, and performs root-cause analysis.

Develops Python-based automation and GenAI/Agentic AI solutions for application support operations. Designs reusable frameworks, integrates ticketing and monitoring platforms, builds RAG and agent workflows, and implements SRE observability, self-healing, and CI/CD practices. The role also contributes to architecture, demonstrates solutions to stakeholders, and mentors junior engineers.

Designs and manages production and non-production cloud environments, deploys automation pipelines, and automates environment creation and configuration. Leads cloud deployment optimization, ensures scalable and secure infrastructure, coordinates cross-functional initiatives, makes team decisions, and mentors engineers. The role requires expertise in cloud automation, DevOps, infrastructure as code, CI/CD, cloud deployment strategies, and scripting.

Leads application assessment, CI/CD planning, cloud migration, deployment, cutover, rollback, and hypercare activities. Owns migration workstreams, standardizes pipelines, integrates quality and security controls, and manages delivery governance, risks, dependencies, and stakeholder communication. Provides leadership to DevOps and infrastructure teams across multiple applications or deployment waves while ensuring predictable, stable, and compliant delivery.

Implement, configure, and support SMAX in cloud-native Kubernetes or OpenShift environments. Provide L2/L3 ITSM production support, resolve incidents within SLA, perform root cause analysis, and support deployments, patches, and upgrades. Manage integrations with enterprise tools and backend components including PostgreSQL, Elasticsearch, and Kafka. Develop SQL queries, reports, dashboards, and KPIs while performing data validation, reconciliation, and basic performance tuning. Drive automation, troubleshooting, and platform improvements.

Develops and operates reliable, scalable applications and platforms for a financial institution. Responsibilities include coding, incident response, root-cause analysis, toil reduction, observability, SLO monitoring, alerting, CI/CD, container orchestration, networking troubleshooting, and secure use of enterprise-authorized AI for incident triage and reliability improvements.