Top DevOps Jobs in Bangalore

Leads quality engineering and quality intelligence initiatives for enterprise clients. Designs full-stack automation frameworks, AI-driven testing workflows, test data strategies, and risk-based validation across web, mobile, API, and database platforms. Provides technical consulting, assessments, solution architecture, proposals, and pre-sales support while driving revenue outcomes. Builds quality engineering practices, mentors regional teams, develops centers of excellence, and promotes AI/ML, agentic automation, and continuous improvement.

Design, develop, and manage cloud-native distributed systems, microservices, and platform components across the full software lifecycle. Lead architecture, Kubernetes platform engineering, CI/CD, test automation, observability, DevSecOps, reliability, and AI-powered engineering automation. Mentor engineers, drive technical standards, and collaborate cross-functionally. Serve additionally as Scrum Master for a SAFe agile team, supporting planning and delivery commitments.

Leads the architecture, development, customization, integration, and optimization of Microsoft Dynamics 365 and CRM solutions. Gathers requirements, defines technical specifications, manages migrations, resolves complex issues, conducts code reviews, enforces engineering standards, mentors junior engineers, and evaluates Microsoft platform enhancements. The role also integrates Dynamics with enterprise systems using Azure services, APIs, Power Platform tools, and custom C#/.NET and JavaScript development.

Leads the Systems and Verification & Validation organization for healthcare digital products across on-premises, cloud, and hybrid environments. Owns system integration, requirements traceability, verification strategy, test automation, defect management, risk-based testing, and release readiness. Builds and develops engineering teams, establishes quality metrics, and partners with Software Engineering, Architecture, Product, Clinical, Quality, Regulatory, and Cybersecurity teams. Requires extensive software-intensive product, systems engineering, V&V, automation, cloud, and people leadership experience.

Designs, implements, and supports build, release, and development infrastructure. Automates environments and deployment workflows using Docker, Ansible, Kubernetes, and CI tools. Supports engineering teams with Git, Jenkins, Artifactory, and JIRA, while maintaining Linux-based tooling and infrastructure. Develops AI-powered agents and workflow automations using LLMs, MCP, APIs, and modern frameworks. Participates in tool refreshes, incident support, training, and administrative rotations.

Lead enterprise application architecture and transformation for data-driven consulting platforms. Design scalable distributed systems, REST APIs, microservices, cloud-native AWS solutions, serverless architectures, and containerized platforms. Evaluate technologies, establish development and data governance standards, mentor engineering teams, oversee technical decisions, and collaborate with business and enterprise technology stakeholders. The role requires hands-on technical leadership, AI/LLM familiarity, BI and data platform knowledge, DevOps practices, second-shift availability, occasional weekend work, and Bangalore office attendance at least three days weekly.

Designs, develops, and maintains critical applications and enterprise integrations. Builds cloud-native solutions using modern programming languages, cloud platforms, databases, APIs, microservices, and DevOps practices. Collaborates with cross-functional teams, supports agile delivery, guides team members, documents technical solutions, participates in on-call support, and applies software security best practices.

Develop and enhance custom Python software solutions using modern frameworks and agile practices. Design scalable architectures, write maintainable code, collaborate across teams, make technical decisions, lead project delivery, mentor junior engineers, and drive continuous process improvements. The role requires expertise in software development lifecycle practices, version control, collaborative development tools, and solutions serving multiple teams.

Develop, enhance, and maintain custom Java software applications using object-oriented principles, modern frameworks, and agile practices. Responsibilities include designing scalable solutions, debugging, testing, performance tuning, documenting technical work, collaborating cross-functionally, and contributing to team discussions. The engineer will work independently as a subject matter expert and guide junior team members while continuously improving application performance and user experience.

Diagnose complex performance issues and lead automation architecture initiatives across the software development lifecycle. Drive GenAI-enabled automation, performance testing, capacity planning, application performance management, CI/CD integration, and scalable framework design. Provide technical delivery leadership, manage P&L, mentor engineering teams, align stakeholders, and implement reusable solutions that improve productivity, quality, scalability, and deployment speed.

Design and build scalable, secure mobile and web applications for field operations, integrating cloud systems with LiDAR, GIS, drones, sensors, AI, and rugged equipment. Lead architecture, development, testing, deployment, and support while ensuring offline functionality and reliable synchronization. Partner with stakeholders, assess technical risks, guide engineering teams, and mentor developers. The role requires hands-on ownership of solution architecture and product delivery, with occasional travel to remote field locations.

Design, build, maintain, debug, and optimize high-volume mainframe business logic. Refactor legacy code to support cloud and mobile integrations, extract business logic for modernization, and develop scalable, robust software using modern architectures, databases, web services, containers, and messaging systems.

Design, implement, and manage AWS-based CI/CD pipelines and automation. Provision infrastructure via IaC (Terraform/ARM), manage Git workflows, build agents, and release pipelines. Integrate automated testing, implement monitoring, logging and tracing, and collaborate on security assessments for cloud resources. Maintain Docker/Kubernetes platform components and optimize deployment processes.

Develop full-stack applications and AI-enabled platform services using Java, Python, React, Spring Boot, APIs, microservices, and data pipelines. Design distributed and event-driven systems, integrate generative AI and multi-agent architectures, and implement AWS cloud solutions. Build secure, tested applications with REST, GraphQL, authentication, and optimized databases. Own CI/CD, infrastructure as code, DevOps automation, observability, monitoring, and SDLC tooling across end-to-end delivery.

Build, implement, test, maintain, and improve production-ready Java full-stack software using AI-native engineering practices. Lead architecture and technical design for scalable web services, conduct code and architecture reviews, troubleshoot complex issues, support customers, and improve software quality. Collaborate across teams, mentor developers, investigate emerging technologies, and drive cloud, DevOps, AI modernization, automation, and LLM initiatives.

Leads the design, development, testing, deployment, and support of scalable Java full-stack software. Provides technical direction for SaaS products, leads architecture and code reviews, mentors developers, improves existing codebases, and drives cloud, DevOps, and AI modernization initiatives. Collaborates across functions, investigates emerging technologies, supports customers, and ensures software quality, security, performance, and compliance.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Responsibilities include technical design, implementation, testing, architecture and code reviews, system quality improvements, debugging, documentation, customer support, and mentoring. The role leads scalable web service development, cloud and DevOps initiatives, software security, CI/CD, and cross-functional technical delivery while translating AI and automation opportunities into business impact.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, technical design, implementation, testing, debugging, code reviews, and quality improvements for scalable web services and distributed systems. Work with cloud infrastructure, DevOps, databases, big data, and security tools while mentoring developers and collaborating across functions. Translate AI, automation, and LLM capabilities into business and productivity improvements.

Develop and maintain scalable, production-ready Java full-stack software and cloud-based distributed systems. Lead technical design, architecture, implementation, testing, debugging, code reviews, and quality improvements. Collaborate across functions, mentor developers, support customers, evaluate emerging technologies, and drive AI-native engineering practices, DevOps modernization, automation, and productivity improvements.

Build and ship production-ready AI-native software using Java full-stack development. Lead architecture, design, implementation, testing, debugging, and maintenance of scalable web services and distributed systems. Guide technical direction, conduct code and architecture reviews, mentor developers, improve software quality, and support customers. Work with cloud infrastructure, CI/CD, DevOps, databases, big data, machine learning, and LLM toolchains while collaborating across product and engineering teams.

Build and ship production-ready, AI-enabled software using Java full-stack development. Lead architecture, design, implementation, testing, debugging, and maintenance of scalable web services and distributed systems. Guide technical direction, improve code quality, conduct reviews, mentor developers, and collaborate across teams. Work with cloud infrastructure, CI/CD, big data, security tools, and AI engineering toolchains while supporting customer-facing technical issues.

Build, ship, and maintain production-ready Java full-stack software using AI-native engineering practices. Lead technical design, architecture, implementation, testing, code reviews, debugging, and quality improvements for scalable web services and distributed systems. Work with cloud infrastructure, DevOps, databases, big data, LLMs, and automation. Mentor developers, collaborate cross-functionally, support customers, evaluate emerging technologies, and translate AI innovations into business and productivity improvements.

Lead the design, development, testing, maintenance, and support of scalable Java full-stack software and cloud-based distributed systems. Provide technical direction, architecture and code reviews, mentorship, documentation, debugging, and cross-functional collaboration. Drive AI-native engineering practices, cloud and DevOps modernization, quality improvements, security, and adoption of emerging technologies while translating AI innovations into business and productivity impact.

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.