Top AWS Jobs in Bangalore

Build and maintain backend microservices for an EV fleet management platform, including depot charging, vehicle management, trip planning, and charge optimization. Own features through design, coding, testing, deployment, monitoring, and production release. Collaborate with Product, Support, and Quality teams, participate in code reviews, document technical decisions, and use AI-assisted development and testing tools.

Develop and maintain responsive web interfaces using JavaScript or TypeScript frameworks such as React or Angular. Integrate front-end components with REST APIs, write testable code, troubleshoot UI and integration issues, participate in code reviews and automation, and collaborate with UX, backend, QA, and product teams. The role may also contribute to backend development and requires a willingness to learn modern engineering, security, accessibility, and Agile practices.

Owns and engineers JLL’s global GCP platform, including landing zones, organization structure, IAM, networking, governance, security, automation, and application infrastructure. The role manages the platform as a product, builds reusable Terraform-based infrastructure, establishes CI/CD and GitOps practices, supports AI/ML workloads, and partners with security, GRC, architecture, and regional teams. Responsibilities include platform administration, roadmap ownership, stakeholder engagement, request resolution, policy development, and operationalization across AMER, EMEA, and APAC.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Lead architecture, design, implementation, testing, debugging, and code reviews for scalable web services and distributed systems. Drive cloud, DevOps, and AI modernization initiatives across AWS and Azure, improve software quality, mentor developers, and collaborate with cross-functional teams. The role requires translating AI innovation into business impact while supporting mission-critical SaaS products and customer technical needs.

Build and ship production-ready full-stack enterprise software using AI-native development practices. Develop Java-based front-end and back-end components, integrate AI services and APIs, implement RAG features, and use LLM-powered coding tools for development, testing, debugging, and documentation. Ensure scalable, compliant, high-quality delivery while collaborating with architects and AI specialists.

Build and ship production-ready AI-native software using Java full-stack development. Responsibilities include designing, implementing, testing, debugging, and maintaining scalable web services and distributed systems; leading architecture and code reviews; improving system quality; supporting cloud, DevOps, and AI modernization initiatives; and mentoring engineers. The role requires collaboration across technical and business teams, strong communication, independent decision-making, and the ability to translate AI innovation into business impact.

Design and deliver enterprise-grade full-stack applications using Java and AI-assisted development tools. Define scalable architectures, integrate AgentAI copilots, LLM-based services, RAG, conversational APIs, and cloud-native technologies. Lead front-end and back-end design, API and data-flow optimization, governance, security, performance, and responsible AI practices. Act as a bridge between traditional engineering teams and AI-native specialists while improving software development productivity without training ML models or owning MLOps.

Lead architecture and deployment of AI workflows across enterprise and cloud platforms. Define technical designs, drive architectural governance and platform convergence, guide modernization initiatives, and improve system reliability, scalability, and security. Mentor engineers, conduct design sessions and code reviews, collaborate with product and engineering stakeholders, and translate AI capabilities into business impact. The role requires extensive .NET full-stack development, cloud, DevOps, microservices, REST APIs, and multi-cloud experience.

Lead the design, deployment, and delivery of AI-enabled SaaS solutions across enterprise technology platforms. Provide technical leadership, architecture guidance, project oversight, mentorship, stakeholder collaboration, and innovation. Develop .NET full-stack applications and manage cloud, DevOps, CI/CD, containerization, infrastructure as code, databases, security, and AI modernization initiatives. Drive product vision and make technical decisions across business, product, architecture, and implementation levels.

Leads software architecture and engineering initiatives involving AI workflows, cloud platforms, microservices, and full-stack .NET development. Responsibilities include defining technical designs, driving architectural governance, improving system reliability and scalability, mentoring developers, conducting code reviews, and guiding cloud, DevOps, and AI modernization efforts. The role requires collaboration with product managers, engineering teams, stakeholders, and executive leadership to deliver secure, scalable software and translate AI innovation into business impact.

Design and deliver enterprise-grade full-stack applications using AI copilots, pre-built AI services, and APIs. Define scalable architectures, integrate RAG and conversational capabilities, optimize front-end and back-end systems, and promote AI-assisted development practices. Ensure compliance, security, performance, reliability, and responsible AI governance. The role requires extensive Java full-stack experience and focuses on AI integration and productivity rather than model training or MLOps.

Build and ship production-ready full-stack enterprise applications using AI-assisted development tools. Develop Java or other backend services, frontend components, integrations, APIs, and RAG-based features while applying software engineering, quality, compliance, cloud-native, and CI/CD best practices. Collaborate with architects and AI specialists to accelerate delivery and continuously improve development processes.

Lead the design, development, and deployment of AI-enabled SaaS solutions across enterprise technology platforms. Provide technical leadership, architecture guidance, project oversight, mentorship, and stakeholder collaboration. Drive cloud, DevOps, AI modernization, CI/CD, containerization, infrastructure as code, security, and database initiatives while translating AI innovation into business impact.

Build and deploy production-ready full-stack applications using Java, .NET, and Python across AWS, Azure, and Google Cloud. Develop front-end solutions with React or Angular, integrate APIs, microservices, event-driven systems, and practical AI capabilities, and support containerization, infrastructure as code, CI/CD, security, and performance optimization. Collaborate with architects, developers, product managers, and infrastructure teams while contributing to solution design, coding, testing, mentoring, and continuous improvement.

Leads architecture and deployment of AI workflows across enterprise and multi-cloud platforms. Designs scalable systems and APIs, drives architectural governance, modernization, reliability, and platform convergence. Mentors engineers, conducts design reviews and code reviews, collaborates with product and executive stakeholders, and translates AI innovation into business impact. Requires extensive .NET full-stack development, software architecture, microservices, DevOps, cloud, and AI/LLM experience.

Leads architecture and deployment of AI workflows across enterprise and multi-cloud platforms. Designs scalable systems and APIs, drives architectural governance, modernization, reliability, and platform convergence. Collaborates with product and engineering teams, conducts design reviews and code reviews, mentors developers, supports DevOps and continuous delivery, and translates AI innovations into business impact.

Build and ship production-ready software using AI-native engineering practices. Lead architecture and technical direction for SaaS products, oversee delivery, mentor engineers, collaborate with stakeholders, and drive innovation. Responsibilities include .NET full-stack development, cloud and DevOps initiatives, CI/CD, containerization, infrastructure as code, database architecture, security, AI and LLM integration, and translating innovation into business value.

Develop and enhance scalable custom software solutions using .NET full-stack development, modern architecture, microservices, REST APIs, cloud, DevOps, and AI modernization. Provide architectural direction, lead design sessions, conduct code reviews, mentor developers, drive governance and platform convergence, and collaborate with product and engineering stakeholders to improve system reliability, scalability, and business impact.

Leads software architecture and engineering teams in building AI-enabled, production-ready systems. Provides architectural direction, technical governance, design specifications, code reviews, mentoring, and recommendations for reliability, scalability, platform convergence, and application improvement. Collaborates with product managers, stakeholders, executives, and development teams while driving cloud, DevOps, AI modernization, microservices, REST API, and multi-cloud initiatives.

Leads the design, development, and delivery of production-ready SaaS software using AI-native engineering practices. Provides technical direction, oversees complex projects, mentors engineers, establishes architecture and technology choices, and collaborates with product and business stakeholders. Requires expertise in .NET full-stack development, cloud platforms, DevOps, CI/CD, containers, infrastructure as code, databases, security, AI modernization, and LLM-enabled engineering workflows.

Build and ship production-ready software using AI-native engineering practices. Lead architecture and technical direction for SaaS products, oversee delivery, mentor engineers, collaborate with stakeholders, and drive cloud, DevOps, automation, and AI modernization initiatives. The role requires .NET full-stack development, cloud platforms, CI/CD, containerization, infrastructure as code, database expertise, security practices, and strong technical leadership.

Lead and contribute to the design, development, and delivery of production-ready SaaS software using AI-native engineering practices. Provide technical direction, architecture guidance, project oversight, and mentorship while collaborating with product and business stakeholders. Build .NET full-stack solutions, cloud platforms, CI/CD pipelines, containerized services, and infrastructure as code. Drive AI modernization, automation, quality, security, and compliance initiatives while translating AI capabilities into measurable business and productivity outcomes.

Lead the architecture, development, and deployment of SaaS and AI modernization solutions using .NET, cloud platforms, DevOps practices, and modern infrastructure tooling. Provide technical direction, oversee complex projects, mentor engineers, collaborate with product and business stakeholders, and translate AI innovation into business impact. The role includes hands-on software design, cloud engineering, CI/CD, containerization, infrastructure as code, and product ownership responsibilities.

Lead the architecture, development, and delivery of production-ready SaaS software using AI-native engineering practices. Guide technical direction, oversee complex projects, mentor engineers, collaborate with stakeholders, and drive innovation. Develop .NET full-stack solutions using cloud platforms, CI/CD, containers, infrastructure as code, databases, and security best practices. Translate AI, LLM, automation, and modernization initiatives into business and productivity improvements while balancing product goals and delivery outcomes.

Lead the design and delivery of production-ready SaaS software using AI-native engineering practices. Provide technical direction, oversee complex projects, mentor engineers, establish architecture and technology standards, and collaborate with product and business stakeholders. Build and maintain cloud-based applications using .NET, DevOps, CI/CD, containers, infrastructure as code, and database technologies. Drive AI modernization, automation, LLM adoption, innovation, quality, security, and alignment with product strategy.