Top DevOps Jobs in Bangalore

Design, develop, and support enterprise data platforms, ETL/ELT pipelines, Oracle and SQL/PLSQL solutions, data warehouses, and risk and regulatory reporting systems. Provide production support, troubleshoot batch and data issues, optimize performance, automate validation and reconciliation, and ensure data quality, governance, lineage, and audit readiness. Collaborate with Risk, Finance, Regulatory, Business, and Technology stakeholders while providing technical leadership and mentoring.

Leads and develops a mobile engineering team responsible for iOS, Android, and cross-platform applications. Establishes engineering standards, technical roadmaps, CI/CD and testing practices, and oversees secure, scalable application delivery. Manages customer escalations, root-cause analysis, operational metrics, and cross-functional collaboration with Product, Quality, Support, and R&D. Champions AI-assisted development, responsible AI governance, DevOps, and continuous improvement.

Leads a mobile engineering team responsible for iOS, Android, and cross-platform application delivery. Establishes engineering standards, technical roadmaps, CI/CD and testing practices, and resolves complex customer escalations. Partners with Product, Quality, Support, and R&D teams to deliver secure, scalable solutions. Manages people, performance metrics, operational support, continuous improvement, and responsible adoption of AI-assisted software development practices.

The Engineering Manager will lead the architecture and development of scalable software systems, ensuring code quality and resource allocation, while collaborating with teams on technical execution and best practices.

Lead software engineering teams in designing and implementing scalable software solutions. Oversee code quality, architecture, and ensure compliance with IT standards. Mentor developers and collaborate with stakeholders to align technology with business needs, focusing on delivering high-quality products.

Develop, enhance, and maintain SAP ABAP solutions across ECC and S/4HANA. Collaborate with functional consultants and business users to create technical specifications, ensure performance and reliability, conduct code reviews, troubleshoot complex issues, document designs, estimate tasks, and mentor junior developers while adhering to standards and security practices.

Lead development and architecture of cloud-native, AI-enabled platform capabilities to improve reliability, scalability, security, and developer experience. Drive cross-org planning, implement LLM/ML frameworks in production, enhance observability and automation, and mentor engineering teams.

Design, advise, and implement Salesforce DevOps and deployment orchestration solutions. Lead tool selection, CI/CD pipelines, release and environment governance, and support pre-sales technical activities. Collaborate with delivery and client teams and travel to client sites frequently (50-75%).

Design and develop scalable, secure cloud solutions on Microsoft Azure for industrial software products. Responsibilities include architecture evaluation, risk mitigation, secure development, compliance support, infrastructure and data solution delivery, technical documentation, project ownership, and mentoring junior engineers. The role requires strong C#/.NET, React.js, REST API, SQL Server, Azure, DevOps, CI/CD, containerization, microservices, networking, authentication, and secure software development experience.

Leads DevOps engineering teams, infrastructure architecture, cloud migrations, continuous delivery, deployment, security, automation, and SRE adoption. Owns technology strategy, roadmaps, budgets, delivery standards, SDLC practices, and production operations for critical SaaS environments. Coaches and develops engineers, establishes agile engineering practices, collaborates with stakeholders, and drives reliable, scalable public-cloud solutions using AWS, Azure, or GCP.

Design, operate, and improve cloud-native Kubernetes platforms. Build GitOps CI/CD pipelines, IaC with Terraform, observability (Datadog/OpenTelemetry), define SLIs/SLOs, troubleshoot production incidents, automate operations, and explore AI-assisted DevOps/AIOps tooling.

Leads Site Reliability Engineering for large-scale AWS cloud platforms, driving architecture, technical roadmaps, reliability, scalability, security, observability, automation, and operational excellence. Designs infrastructure, troubleshoots production issues, performs root-cause analysis, develops platform capabilities in Python or Go, mentors engineers, and collaborates with product, engineering, security, and customers to deliver highly available SaaS systems.

Design, build, and optimize highly available, scalable, and secure cloud infrastructure for multi-region SaaS systems. Implement SRE practices including monitoring, alerting, error budgets, incident management, automation, and root-cause analysis. Participate in on-call rotations, troubleshoot production incidents, improve system performance, and collaborate with engineering, product, customer, and security teams. Develop software and automation supporting cloud data platforms and operational excellence.

Designs and leads enterprise CI/CD, release management, cloud infrastructure, and platform engineering across multiple environments. Builds automated pipelines, provisions infrastructure with IaC, manages Kubernetes and container platforms, implements GitOps and DevSecOps, and develops observability, testing, rollback, and disaster recovery solutions. Partners across engineering, security, QA, and operations to improve platform reliability, modernize cloud environments, optimize costs, and accelerate secure software delivery.

Lead and grow an 8–12 engineer team to deliver scalable, reliable SaaS systems. Manage hiring, performance, sprint planning, architecture reviews, CI/CD, observability, and technical debt reduction. Partner with Product, Design, QA, and DevOps to prioritize roadmap items and drive engineering best practices, operational excellence, and continuous improvement.

Owns end-to-end technical architecture for complex Guidewire ClaimCenter implementations, modernization programs, and cloud transformations. Leads ClaimCenter configuration, Gosu customization, integrations, architecture reviews, engineering governance, and cross-functional teams. Translates business requirements into scalable, secure, resilient solutions while advancing cloud adoption, AI-enabled delivery, automation, reusable architectures, and technical standards. Partners with customers and global teams across enterprise ecosystems.

Design, develop, validate, and automate scalable cloud features for network management. Build backend services, REST APIs, and responsive React applications while collaborating with product and engineering teams. Ensure quality, reliability, customer value, and timely delivery. Apply system design and DevOps practices, containerization, Kubernetes, cloud deployment, and AI-assisted development. Mentor engineers and contribute to intuitive customer experiences, with networking knowledge preferred.

Design, develop, validate, and automate scalable network-management features for Cisco Meraki Dashboard and Catalyst products. Build cloud applications, backend services, REST APIs, and responsive React interfaces. Collaborate with product management and cross-functional engineering teams to deliver reliable, customer-focused software. Apply system design, DevOps, Kubernetes, containerization, code-quality practices, and mentoring while contributing to AI-assisted development and networking solutions.

Develop and modernize enterprise-scale full-stack applications using Java, Spring Boot, React, cloud-native technologies, microservices, APIs, containers, and databases. Lead modernization and cloud transformation initiatives, design scalable solutions, conduct code reviews, collaborate with architecture and delivery teams, engage clients, and mentor development teams. Contribute to modernization offerings, reusable accelerators, delivery standards, and technical communities.

Lead backend development, make technical decisions, and design scalable high-performance systems using Java, Spring, and microservices. Mentor team members, collaborate with frontend, QA, and DevOps teams, maintain code quality, manage technical debt, and drive backend innovation. The role also involves cloud platforms and may include reactive programming, containerization, Kubernetes, event-driven architecture, and messaging systems.

Administer and maintain SAP BTP global accounts, subaccounts, entitlements, connectivity (Cloud Connector, Destinations), identity integration (IAS/IPS), and BTP services. Monitor platform health, manage licensing/costs, troubleshoot issues, collaborate with Basis, Integration, Security and Development teams, and lead third-party consultants supporting Finance, Procurement, and Supply Chain.

Lead and grow high-performing QA teams; manage capacity, hiring, and performance; define testing goals, KPIs, and delivery objectives; drive automation, performance testing, and process improvements; enable DevOps/continuous testing and AI-driven testing adoption; communicate status to stakeholders and support enterprise quality transformations, especially in retail and eCommerce domains.

Lead multiple engineering teams to build scalable, cloud-native AI‑ready governance platform capabilities. Define engineering strategy, drive technical excellence and AI-assisted development adoption, recruit and mentor leaders, partner cross-functionally to deliver customer-driven product innovations and measurable business outcomes.

Designs and develops Java and Spring-based cloud-ready applications, REST/SOAP services, microservices, and APIs. Leads large technology initiatives, manages stakeholders, risks, deadlines, and geographically distributed teams. Works with Azure, RDBMS, DevOps, CI/CD, containerization, and frontend technologies including Angular and JavaScript. Develops reusable libraries, SDKs, interceptors, and pattern-based solutions while mentoring less experienced staff and driving technical improvements.

Build and support hybrid on-premises and multi-cloud infrastructure across AWS, GCP, and OCI. Manage IAM, Terraform/OpenTofu infrastructure, Docker and Kubernetes environments, CI/CD pipelines, monitoring, logging, alerting, debugging, vulnerability scanning, secrets management, and compliance-as-code. The role requires strong Linux, networking, automation, and systems fundamentals, along with the ability to rapidly learn new cloud platforms and tools.