Top AWS Jobs in Bangalore

Leads enterprise-wide automation testing, test strategy, governance, quality gates, and release sign-off across financial services programs. Manages SIT, UAT, end-to-end, regression, and production validation in complex multi-vendor environments. Provides hands-on support for automation, API validation, test design, data verification, defect investigation, and root-cause analysis. Coordinates stakeholders, environments, test data, vendors, and risks while mentoring QA teams and ensuring SDLC, audit, and quality standards.

Develop scalable Java and Spring Boot backend services, REST APIs, microservices, and data-processing components for AWS cloud and hybrid applications. Integrate relational and NoSQL databases, AWS services, messaging systems, and external applications. Implement secure authentication, authorization, testing, observability, and CI/CD practices. Troubleshoot application, database, network, and performance issues while participating in design reviews, code reviews, production support, and technical documentation.

Develop scalable Java and Spring Boot backend services, REST APIs, microservices, and data-processing components for AWS cloud and hybrid applications. Integrate relational and NoSQL databases, messaging systems, open-source components, and external services. Implement secure authentication, testing, observability, CI/CD, and production support while debugging application, database, network, and performance issues. Contribute to design and code reviews, cloud-native development, reliability, and healthcare interoperability capabilities.

Develop scalable Java and Spring Boot backend services, REST APIs, microservices, and data-processing components for AWS cloud and hybrid applications. Integrate relational and NoSQL databases, messaging systems, open-source components, and external services. Implement secure authentication, authorization, observability, testing, and CI/CD practices. Diagnose application, database, network, and performance issues while supporting production systems and participating in design and code reviews.

Leads DevOps and platform engineering for secure AWS and on-premises applications. Designs CI/CD pipelines, Kubernetes platforms, Infrastructure as Code, automated provisioning, observability, DevSecOps controls, disaster recovery, and reliability mechanisms. Remains hands-on with automation, incident response, troubleshooting, scalability, monitoring, and root-cause analysis while guiding cloud-native and regulated healthcare product development.

Develop scalable Java and Spring Boot backend services, REST APIs, microservices, and data-processing components for AWS cloud and hybrid applications. Integrate relational and NoSQL databases, messaging systems, open-source components, and external services. Implement secure authentication, authorization, testing, observability, and CI/CD practices. Diagnose application, database, network, and performance issues while participating in design reviews, code reviews, and production support.

Design and develop scalable automation frameworks for UI, API, integration, performance, load, stress, reliability, and end-to-end testing. Integrate automated testing into CI/CD pipelines with parallel execution, test-data management, reporting, and quality gates. Diagnose flaky tests, perform root-cause analysis, establish traceability, review code, mentor engineers, and define automation architecture and standards. The role also supports cloud-native, secure, highly available healthcare and medical-device software environments.

Manage enterprise backup and recovery environments using Veritas NetBackup and Commvault. Monitor and troubleshoot backup, restore, replication, storage, and performance issues; conduct disaster recovery tests; maintain security controls, capacity, compliance, and platform health. Automate operational tasks with scripting and APIs, support cloud and infrastructure teams, manage ITIL processes, document recovery procedures, and drive continuous improvements across backup resilience, modernization, and operational standardization.

Lead and scale a global engineering organization for Sales Technology: own roadmap and delivery, define architecture standards, drive modernization including AI-enabled engineering, improve SDLC quality and efficiency, mentor teams, and align with product and business stakeholders to support sales and revenue objectives.

Leads architecture, development, modernization, and delivery of enterprise mobile platforms across iOS and Android. Builds scalable mobile applications, shared libraries, AI-enabled experiences, secure integrations, offline capabilities, testing and CI/CD workflows. Owns initiatives end to end, drives technical architecture and release quality, mentors engineers, establishes AI-assisted development practices, and coordinates with product, design, backend, security, QA, and DevOps teams.

Leads architecture, development, modernization, and delivery of enterprise mobile platforms across iOS and Android. Builds scalable applications, shared libraries, AI-enabled experiences, integrations, testing, CI/CD, observability, and secure release workflows. Owns initiatives end to end, resolves complex technical challenges, guides cross-platform and architecture decisions, mentors engineers, and coordinates product, design, backend, security, QA, and DevOps stakeholders.

Lead the design, development, modernization, testing, release, and ongoing support of enterprise mobile applications across iOS and Android. Build native and cross-platform solutions, integrate APIs and AI services, improve performance, security, accessibility, observability, and reliability, and guide mobile architecture. Coordinate technical workstreams, manage risks, partner with cross-functional teams, mentor engineers, promote AI-assisted development, and support CI/CD, app-store releases, production monitoring, and continuous improvement.

Leads AI-assisted full-stack development across Angular and Python environments. Directs autonomous coding agents, reviews generated code for security and architecture, builds GraphQL and REST APIs, manages SQL and DynamoDB data layers, and optimizes AWS and GCP deployments. Establishes testing frameworks, prompt-engineering workflows, repository context, cloud monitoring, security controls, and CMS integrations.

Leads enterprise AWS cloud architecture across multi-region and hybrid environments. Owns cloud migration strategy, high availability, disaster recovery, infrastructure-as-code governance, CI/CD standards, Kubernetes and service mesh architecture, security, compliance, and cost optimization. The role guides PCI DSS and SOC 2-aligned designs, documents technical decisions and roadmaps, governs architecture reviews, and mentors engineering teams across the organization.

Lead the design, development, and modernization of full-stack account management and customer support applications within an IAM platform. Build Node.js and TypeScript microservices, migrate legacy Java and hybrid services, troubleshoot production issues, improve availability, establish testing practices, make architectural decisions, collaborate cross-functionally, and mentor engineers.

Build and maintain full-stack web applications, customer self-service tools, and microservices for account management within an IAM domain. Modernize legacy TypeScript, Java, and monolithic services into Node.js and TypeScript microservices. Develop REST and GraphQL APIs, write automated tests, troubleshoot production systems, collaborate cross-functionally, and contribute to design and code reviews while expanding expertise in AWS and scalable cloud solutions.

Develop and own Safe’s Android application, bringing it to feature parity with iOS. Build secure, scalable, high-performance Kotlin applications using modern Android architectures, Jetpack Compose, animations, persistence, APIs, and custom visualizations. Translate Figma designs into polished experiences, troubleshoot production issues, participate in architecture and code reviews, leverage AI-assisted development tools, and collaborate cross-functionally to deliver enterprise security features.

Owns end-to-end architecture for cardiovascular ultrasound software across frontend, backend, AWS, and on-premises environments. Translates clinical and product requirements into secure, scalable systems; leads architecture reviews, prototypes, troubleshooting, technical standards, and roadmap execution. Partners with engineering, cybersecurity, DevOps, quality, verification, regulatory, and product teams. Requires extensive distributed systems, hybrid cloud, healthcare interoperability, medical-device software, and technical leadership experience.

Leads the Bengaluru engineering organization responsible for the architecture, development, verification, release, deployment, and lifecycle support of cardiovascular ultrasound digital products. Builds engineering capability, manages talent and resources, drives cloud and hybrid product delivery, and ensures quality, cybersecurity, scalability, reliability, and regulatory compliance. Partners with global product, clinical, systems, quality, regulatory, cybersecurity, and service teams while communicating strategy, risks, investment needs, and delivery status to senior leadership.

Lead and grow an engineering team building cloud-native data and AI platform infrastructure for industrial intelligence. Architect real-time and batch pipelines, IoT data platforms, MLOps systems, and highly available production environments. Partner with Product, AI/ML, and service teams to deliver secure customer solutions, establish DevOps and observability standards, and support regulated and multi-customer deployments.

Design, develop, and scale Avathon’s Computational Knowledge Graph platform. Responsibilities include ontology and schema modeling, IQL query optimization, data ingestion, graph computation, Python and ML integration, API development, large-scale performance optimization, and architectural planning. The role partners with product and data science teams, translates business needs into graph solutions, and mentors engineers.

Maintain and improve a globally distributed corporate and campus network. Responsibilities include network maintenance, upgrades, ISP provisioning, routing and switching troubleshooting, WLAN and remote access support, security configuration, disaster recovery testing, incident response, monitoring, automation, documentation, office deployments, and collaboration with networking, telephony, security, and infrastructure teams.

Build and maintain highly available, distributed systems for Compliance Engineering SRE. Responsibilities include monitoring production services, defining SLIs and SLOs, capacity planning, performance tuning, incident management, automation, self-healing capabilities, reliability improvements, and reducing operational toil. The role requires programming, Linux development, observability, containerization, orchestration, networking, and distributed systems expertise.

Lead backend engineer responsible for designing and maintaining scalable Python services, APIs, event-driven AWS systems, data layers, RAG pipelines, and production AI agents. The role covers distributed systems, authentication, observability, infrastructure automation, dbt and Airflow data-platform workflows, reliability, security, testing, and CI/CD. The engineer will set technical direction, design service and API architectures, conduct code reviews, mentor teammates, and optimize AI quality, performance, cost, and security.

Leads architecture, design, development, testing, and delivery of scalable enterprise software platforms. Drives technical strategy, resolves complex system issues, reviews code, guides design decisions, mentors engineers, and improves engineering practices. Requires full-stack development expertise across .NET, C#, Web APIs, SQL Server, microservices, cloud platforms, CI/CD, distributed systems, secure coding, testing, and performance engineering. Collaborates with cross-functional leaders and supports innovation across multiple teams.