Top AWS Jobs in Bangalore

Leads and mentors software engineering teams delivering complex commerce, pricing, product, and offer systems. Defines architecture and API specifications, oversees implementation, integration, testing, operations, and sustainability, and partners with product, business, and technical teams. Develops scalable Java services and back-office interfaces, supports cloud-native and DevSecOps practices, troubleshoots production issues, and manages globally distributed Agile delivery teams.

Leads and mentors software engineering teams delivering complex commerce systems for products, pricing, and offers. Defines architecture, API specifications, integrations, testing, operations, and platform sustainability. Develops Java-based services and back-office interfaces, supports cloud-native and scalable architectures, troubleshoots production issues, manages globally distributed Agile delivery teams, and partners with technical and business stakeholders.

Serves as the principal technical authority for enterprise Reltio MDM architecture. Designs scalable cloud-native data platforms, APIs, integrations, streaming pipelines, graph and NoSQL data solutions, and microservices. Leads data governance, entity resolution, survivorship, DevOps automation, security compliance, performance testing, and machine learning integration. Provides architectural oversight, mentors engineering and data teams, conducts design reviews, and drives successful delivery of enterprise healthcare data initiatives.

Lead development, configuration, testing, and deployment of cloud-native Reltio master data management solutions for healthcare. Build REST APIs, event-driven integrations, microservices, workflows, data connectors, and JSON configurations. Apply DevOps, machine learning matching, performance testing, secure data practices, and healthcare compliance requirements. Mentor junior engineers, contribute to architecture reviews, support medical-device data syndication, and provide technical leadership for Agile delivery.

Leads reliability, scalability, security, and performance for critical cloud-native and hybrid platforms. Architects infrastructure, containers, CI/CD, automation, observability, and Infrastructure as Code; defines reliability objectives; leads incident response and remediation; and applies FinOps optimization. Partners across engineering, product, security, and operations teams on capacity, recovery, migrations, and platform projects. Mentors engineers, provides technical direction, and drives continuous improvement across large-scale distributed systems.

Own highly available AWS production systems, lead P1/P2 incident response and root-cause reviews, and improve reliability and operational excellence. Design and manage Terraform-based AWS infrastructure, EKS platforms, networking, security, and resilience. Build GitLab CI and ArgoCD pipelines, manage observability and on-call operations, support compliance initiatives, document operations, collaborate globally, and mentor engineers.

Own highly available AWS production systems, lead incident response and root-cause reviews, and improve reliability and operational excellence. Design and manage Terraform-based AWS infrastructure, EKS platforms, networking, security, and resilience. Build GitLab CI and Argo CD GitOps pipelines, automate operations, and manage observability using PagerDuty, Prometheus, Grafana, ELK, and Datadog. Collaborate on architecture and compliance initiatives, document operations, and mentor engineers.

Lead HR Service Delivery automation and build scalable HR applications, data pipelines, APIs and integrations. Drive process optimization, GenAI adoption, product lifecycle, data governance, and cross-functional stakeholder engagement to deliver production-grade HR tools and analytics.

Lead the Common Platform Services team to design and deliver scalable, secure, high-availability platform services and developer tooling. Own technical roadmap, cross-team collaboration, AI-native SDLC transformation, and enterprise web services with deep integrations (Salesforce, AWS, GCP). Mentor and grow senior technical talent.

Defines enterprise integration architecture and business-aligned standards; designs and implements API-led connectivity using MuleSoft Anypoint Platform; architects AWS cloud-native solutions and applies DevOps practices. Ensures API security, governance, compliance, performance, and operational excellence while providing technical leadership, mentoring, and stakeholder collaboration across enterprise integrations.

Manage a Site Reliability Engineering team supporting observability, availability, security, incident management, and platform operations across Disney Experiences. Lead DevSecOps adoption, deployment pipeline development, infrastructure automation, telemetry, systems security, compliance, budgeting, technical planning, and technology evaluation. Develop team members, coordinate cross-functional delivery, and promote reliable, secure, and resilient systems using cloud, configuration management, orchestration, and continuous integration technologies.

Manage a Site Reliability Engineering team supporting observability, availability, security, incident management, infrastructure, deployment pipelines, and reliable platform operations across Disney Experiences. Lead DevSecOps adoption, monitoring, automation, telemetry, systems security administration, compliance, budgeting, planning, and technology evaluation. Develop engineers, oversee performance and OKRs, and collaborate with enterprise security and cross-functional teams to deliver scalable, resilient, secure systems.

Develop and maintain Java backend services, REST APIs, React interfaces, IAM integrations, CI/CD pipelines, containerized deployments, and automated tests. Collaborate cross-functionally on secure, scalable software while monitoring applications and supporting incident response. Contribute to documentation, code reviews, and cloud-native practices, and experiment with AI/LLM integrations using APIs and coding tools.

Lead development of scalable Python microservices and full-stack applications with React frontends. Design APIs, optimize databases, manage CI/CD pipelines, containerize services with Docker and Kubernetes, and ensure automated testing, performance, and reliability. Collaborate on architecture and requirements, conduct code reviews, mentor junior developers, and enforce software engineering best practices.

Develop and maintain frontend and backend components for enterprise Data to Decision systems using React and Python. Integrate data science outputs through REST APIs, create interactive visualizations, collaborate with business and product stakeholders, participate in UAT, troubleshoot application and integration issues, and maintain technical documentation. The role also involves database development, performance optimization, testing, deployment, and infrastructure maintenance.

Architects enterprise data migration, disaster recovery, hybrid-cloud storage, and high-availability infrastructure solutions. Partners with Sales, Engineering, and enterprise customers on pre-sales strategy and post-sales delivery. Leads complex data center consolidations, block and file migrations, automation scripting, replication, cloud integration, technical scoping, risk management, and project execution.

Designs, operates, and improves scalable cloud infrastructure across GCP and AWS. Builds Terraform-based infrastructure, GitHub Actions CI/CD pipelines, observability, automation, and AI-enabled monitoring and remediation. Manages MySQL and SQL Server databases, Cloudflare services, security controls, repository governance, and incident response. Supports reliability, performance, cost optimization, compliance, and cloud modernization while providing 24/7 on-call coverage and mentoring junior engineers.

Design, develop, and support enterprise automation and integration solutions across IT, identity, procurement, ERP, cloud, infrastructure, and asset-management platforms. Build scripts, APIs, workflows, provisioning processes, and reusable automation frameworks; troubleshoot failures; document solutions; ensure security and compliance; and create reporting dashboards. Collaborate with infrastructure, security, IAM, procurement, HR, service desk, and business teams to reduce manual work and improve operational efficiency.

Lead a cross-functional engineering team building and scaling the DataSwitch data integration platform. Own feature and release delivery, roadmap planning, architecture governance, CI/CD adoption, quality standards, agile practices, and project risk management. Recruit, mentor, and develop engineers while coordinating with product, architecture, QA, DevOps, and senior leadership. Translate business requirements into engineering plans and ensure scalable, resilient, maintainable technical solutions.

Lead backend engineering for high-scale distributed systems supporting over 100 million daily active users. Design scalable architectures, optimize APIs for sub-50ms latency, and ensure reliability across microservices, messaging, caching, storage, and cloud infrastructure. Mentor engineers, conduct code reviews, establish engineering best practices, and use AI tools such as GPT and Copilot to accelerate development. The role offers substantial ownership of critical platforms and opportunities to grow toward principal engineer, architect, or CTO roles.

Leads the design and implementation of Salesforce Data Cloud solutions, translating business requirements into technical designs, data models, schemas, and ingestion pipelines. Integrates Data Cloud with Marketing Cloud Personalization and other MarTech platforms for audience activation. Manages development teams, ensures delivery quality, troubleshoots complex integrations, supports segmentation and journey orchestration, and drives data governance, privacy, performance, mentoring, and roadmap initiatives.

Designs and manages scalable, secure CI/CD pipelines and decoupled development environments. Automates application testing, releases, deployments, and infrastructure across cloud providers. Creates DevOps architecture documentation and standards, promotes application security best practices, optimizes technology stacks, collaborates with development, QA, and security teams, and mentors engineers.

Designs and leads Salesforce Data Cloud solutions, including data models, ingestion pipelines, identity resolution, integrations, activation, segmentation, and personalization. Translates business requirements into technical designs, leads development teams, troubleshoots complex platform issues, and ensures data quality, privacy, governance, and performance. Collaborates with architects and stakeholders on strategy, roadmap planning, delivery, mentoring, and reusable technical standards.

Lead the design and maintenance of CI/CD pipelines, infrastructure as code, cloud operations, configuration management, Snowflake deployments, monitoring, and automation across AWS and Azure. Develop Python tooling, support disaster recovery and high availability, optimize infrastructure and deployment workflows, and lead data engineering associates while collaborating with global technology teams.

Leads engineering for ERP data management, high-volume email processing, backend APIs, distributed systems, and service architecture. Owns reliability, scalability, security, observability, and iterative platform improvements for 24/7 systems. Acts as a liaison between engineering and business teams, mentors engineers, and collaborates across global teams in India, China, Singapore, and the United States. The role is fully remote from India and requires flexibility for global operations.