Top AWS Jobs in Bangalore

The Lead Software Engineer at Salesforce is responsible for developing scalable components, writing production-ready code, mentoring junior engineers, and managing the software development lifecycle in a multi-tenant SaaS cloud environment.

Develop, enhance, and maintain custom software solutions using AWS cloud infrastructure, modern frameworks, and agile practices. Troubleshoot cloud and application performance issues, automate cloud operations, document technical processes, collaborate with cross-functional teams, and support junior team members. The role requires independent execution, technical leadership, and subject matter expertise in AWS administration.

Develop and enhance custom software solutions across systems and applications using modern frameworks and agile practices. Manage AWS cloud infrastructure, deployment automation, monitoring, security, troubleshooting, and cost optimization. Serve as a subject matter expert, lead team decisions, coordinate with stakeholders, improve development processes, mentor junior engineers, and deliver scalable, high-performing solutions aligned with business objectives.

Develop and enhance custom software components using modern frameworks and agile practices. Design scalable, high-performing solutions, troubleshoot complex system issues, apply cloud security best practices, and automate infrastructure deployment. Serve as a subject matter expert, make team decisions, collaborate across teams, establish best practices, mentor junior engineers, and coordinate cross-functional delivery.

Design and execute AWS network and Kubernetes migrations, including multi-account VPCs, Transit Gateway, hybrid connectivity, routing, security, and network segmentation. Design and operate production Amazon EKS environments, optimize cluster networking and scaling, and support workload migration. Automate infrastructure with Terraform, implement GitOps and CI/CD workflows, enforce policy as code, develop scripts in Python or Go, and lead risk management, troubleshooting, and stakeholder collaboration.

Design and govern a custom automotive finance ERP platform supporting contract management, loan origination, loan and lease management, payments, configurable business rules, integrations, data migration, cloud deployment, security, compliance, and multi-market rollout across Europe and APAC. The role requires solution architecture leadership across lending and leasing products, enterprise applications, APIs, financial services regulations, and modernisation initiatives.

Designs, builds, operates, and improves enterprise integration platforms and distributed systems. Responsibilities include API management, event-driven architecture, messaging, service mesh, containers, cloud solutions, CI/CD, infrastructure automation, observability, incident response, root cause analysis, and platform reliability. The role partners with technical and business stakeholders, modernizes services, maintains operational standards, leads proof-of-concepts, mentors teams, and participates in after-hours on-call support.

Design, build, operate, and continuously improve enterprise integration platforms and distributed systems. Develop API, event-driven, messaging, service mesh, and containerized solutions while implementing CI/CD, infrastructure automation, observability, and reliability standards. Troubleshoot complex production issues, lead incident response and root-cause analysis, modernize services, evaluate technologies, document operational practices, and mentor development teams. Ensure cloud solutions comply with security, risk, and operational requirements, including after-hours on-call support.

Leads ServiceNow platform production support, reliability, incident management, service governance, release and change activities. Oversees Tier 1 and Tier 2 teams, 24x7 operations, escalations, SLAs, KPIs, vendor coordination, platform upgrades, monitoring, automation, root-cause analysis, and continuous improvement. Requires deep ServiceNow administration and development expertise across ITSM, Service Catalog, CMDB, integrations, and multi-instance environments, combined with enterprise support leadership and executive stakeholder communication.

Develop and improve C#/.NET automation infrastructure for Zerto’s QA and CI workflows. Design automated tests, AI/Copilot solutions, and scalable framework enhancements; troubleshoot failures, debug issues, review code, and report defects. Maintain Jenkins pipelines and Groovy scripts, collaborate with engineering and QA teams, and mentor QA engineers, interns, and developers. Work in an agile Scrum environment supporting disaster recovery products.

Develops, tests, reviews, documents, deploys, and supports moderately complex software solutions. Designs RESTful APIs and serverless applications using TypeScript, AWS Lambda, DynamoDB, and graph databases. Collaborates with architects and DevOps engineers on CI/CD pipelines, diagnoses defects, applies security and design best practices, monitors performance metrics, and creates reusable, maintainable code.

Develop and maintain secure, scalable full-stack applications using C# and .NET. Responsibilities include requirements analysis, backend and frontend development, API integration, testing, code reviews, debugging, technical documentation, deployment collaboration, and performance optimization. The role involves working with databases, cloud platforms, Docker, CI/CD, microservices, and potentially Kubernetes. The developer will collaborate in Agile teams, mentor junior developers, and contribute to continuous improvement.

Design, develop, test, and deploy scalable full‑stack enterprise applications. Build backend services (Python/Java), frontend components (React/Angular), REST APIs, cloud-native deployments (AWS/Azure), CI/CD pipelines, containerized services, and monitoring. Participate in code reviews, agile ceremonies, troubleshooting, and platform reliability improvements.

Design, architect, and implement scalable cloud-native backends (.NET/C#) and cross-platform frontends (ReactJS/React Native). Build microservices and REST APIs, optimize performance, implement automated tests, deploy on Azure/AWS using containers and CI/CD, and collaborate with global architects and UX teams.

Lead a distributed Platform Engineering team to build and operate a large-scale, cloud-native AWS/Kubernetes compute platform for AI/ML workloads. Drive platform strategy, reliability, scalability, operational excellence, incident management, developer experience, and cross-functional adoption while coaching and growing engineering talent.

Lead and grow a distributed Platform Engineering team that builds and operates a large-scale, cloud-native AWS/Kubernetes compute platform to host AI/ML applications. Drive platform strategy, roadmap, reliability, security, CI/CD and GitOps practices, developer self-service, incident management, and cross-functional collaboration to ensure scalable, multi-tenant production operations.

The Senior Software Engineer (Python) will design, develop, and maintain backend services, focusing on building and managing GraphQL APIs, and optimizing database performance with SQL Server, PostgreSQL, and MongoDB while collaborating with multiple teams.

Manage hybrid infrastructure across VMware, Hyper-V, Windows, Linux, Azure, and AWS environments. Responsibilities include provisioning, patching, monitoring, troubleshooting, high availability, backup, cloud migration, networking, and hardware lifecycle management. Design infrastructure solutions using Terraform and automate operations with PowerShell, PowerCLI, Ansible, Python, or Bash. Collaborate on secure infrastructure modernization while following ITIL processes and supporting enterprise observability, source control, ITSM, and DevOps practices.

Lead global network strategy and engineering across enterprise, cloud, WAN, campus, wireless, data center and manufacturing. Create target architectures, reference designs, standards, and roadmaps; validate requirements; ensure security and compliance; drive innovation, capability building, and oversee technical delivery with third parties.

Lead strategy and execution for automation-first quality engineering across API, UI, cloud-native, and data platforms. Define governance, modernize testing frameworks, integrate automation into CI/CD, validate large-scale ETL/data pipelines, drive AI-enabled testing innovations, and build high-performing teams to ensure scalable, secure, and reliable releases.

Executes and verifies software application tests, including manual functional, regression, integration, and UAT testing. Creates test cases, scenarios, and plans; tracks defects; validates test data; and performs root cause analysis. Collaborates with developers, product owners, and stakeholders in Agile/Scrum teams. Automation testing, API testing, SQL, performance and security testing, and cloud platform experience are preferred.

Build and support full-stack integration applications for asset management using Python, Java, Flask, Spring Boot, AWS, Docker, and Kubernetes. Develop REST APIs, create automated tests, deploy applications to EKS and AWS, and contribute to CI/CD pipelines. Collaborate with product owners and technology partners, guide technical decisions, prototype solutions, document designs, and provide Level 3 on-call support for incidents and alerts.

Design, develop, and implement scalable web applications and microservices. Work with front-end JavaScript frameworks, back-end services, containerization, relational and NoSQL databases, and cloud providers. Produce documentation, perform systems analysis, improve operations, and mentor other engineers.

Lead backend development using Java, Spring, and microservices; design scalable high-performance systems; mentor engineers; collaborate with frontend, QA, and DevOps teams; maintain code quality and manage technical debt; and drive backend innovation. The role requires 3–6 years of Java backend experience, cloud familiarity, team leadership, and strong communication skills. Reactive programming, DevOps tools, Docker, Kubernetes, Kafka, and event-driven architecture are advantageous.

Develop and maintain a large-scale data lake platform, including data pipelines and platform services. Write, test, troubleshoot, and document reliable software components across development and production environments. Collaborate with senior engineers on architecture, participate in code reviews, improve engineering standards, and apply AI-assisted development workflows. The role requires cloud, distributed systems, deployment, production operations, and CI/CD experience, with opportunities to grow in data engineering and AI technologies.