Top AWS Jobs in Bangalore

Develop software applications for fund accounting and trade processing, collaborate with stakeholders, and improve platforms using modern technologies.

Design, build, and operate scalable, highly available infrastructure and services (Trino, Spark, Kubernetes). Mentor engineers, own systems, write production code, improve reliability, automation, and observability.

Drive architecture and implementation of customer-facing cloud-native digital platforms. Design scalable APIs, microservices, event-driven integrations, and modernization paths. Lead cross-team architecture reviews, integrate enterprise systems (Salesforce, CRM, ERP, data platforms), and apply AI and automation to improve experience and operations.

The Lead Business Analyst will oversee PLM applications, collaborate internationally, ensure technical architecture integration, and support cloud migration while managing project satisfaction and delivery.

The Senior Big Data Engineer will manage customer engagements, develop big data architectures, and guide clients in utilizing the Databricks platform effectively.

Design, develop, test, maintain, and support Java/J2EE applications, REST APIs, microservices, and backend components. Translate requirements into technical solutions, write maintainable code, troubleshoot issues, optimize SQL queries, support system integrations, and participate in code reviews, deployments, documentation, and Agile collaboration with cross-functional teams.

Design, develop, and maintain enterprise infrastructure automation and Infrastructure as Code solutions across cloud, operating systems, virtualization, storage, databases, networking, and observability platforms. Build reusable frameworks, APIs, self-service capabilities, provisioning and patching workflows, compliance validation, security remediation, and operational dashboards. Collaborate with platform, cloud, security, architecture, and operations teams while documenting automation standards and engineering practices.

Develop and maintain fintech applications using Java and Spring Boot. Design secure RESTful APIs for financial transactions, translate financial workflows into technical solutions, ensure PCI DSS and GDPR compliance, and optimize high-volume, low-latency systems. Participate in Agile ceremonies, code reviews, CI/CD, Docker, cloud, and DevOps practices while collaborating with product managers, analysts, business units, leaders, associates, and clients.

Lead QA automation initiatives by architecting frameworks, migrating automation suites to Playwright, and developing UI and API tests. Integrate testing into CI/CD pipelines, define quality metrics, maintain testing infrastructure, document standards, conduct peer reviews, assess product quality, mitigate testing risks, and provide technical guidance and onboarding for QA teams.

Designs and implements web and API test automation frameworks, migrates automation to Playwright, integrates tests into CI/CD, and measures product quality. The role defines testing standards, develops functional UI and service-level tests, maintains testing infrastructure, conducts peer reviews, manages risks, documents strategies, reports quality outcomes, mentors team members, and advises QA teams. Requires strong JavaScript, testing methodologies, database, cloud DevOps, version control, and Agile expertise, with four hours of overlap with Central US hours.

Implements, maintains, upgrades, monitors, and troubleshoots server infrastructure across operating systems, storage, virtualization, email, Active Directory, and cloud environments. Develops standards, procedures, documentation, and disaster recovery practices; supports users through tickets and direct assistance; manages equipment procurement and installation subcontractors; participates in projects; and provides on-call and remote support.

Monitor and support a multi-cloud infrastructure environment across Azure, AWS, Windows, Linux, and SQL Server. Triage alerts, resolve incidents, execute patches, maintain compliance records, track reliability metrics, document incidents, improve runbooks, and identify automation opportunities. Participate in a follow-the-sun on-call rotation, including off-hours coverage.

Administer and support enterprise Snowflake, PostgreSQL, SQL Server, and MySQL environments across Azure and AWS. Responsibilities include installation, upgrades, patching, migrations, backup and recovery, replication, high availability, performance tuning, access control, security compliance, automation, and cloud data-platform integration. Provides Level 2 and Level 3 troubleshooting, incident response, documentation, and on-call support while collaborating with infrastructure, cybersecurity, application, cloud, and data engineering teams.

Design, develop, test, debug, and support software solutions across modern and legacy technologies. Collaborate on requirements, code reviews, pair programming, security, risk mitigation, and delivery estimates. Improve engineering processes and product quality while contributing to AI-assisted development, innovation, and continuous professional growth. The role operates independently on well-scoped tasks and supports less experienced team members.

Manage and maintain highly available Windows and Linux systems, infrastructure, deployments, monitoring, backups, and disaster recovery. Build infrastructure as code and CI/CD pipelines using cloud and automation tools. Analyze logs, metrics, and trends to support scalability and reliability, administer Kubernetes environments, automate service workflows, and apply security and ITIL best practices. Collaborate with DevOps, DBA, development, and security teams, with a primary focus on AWS and additional Azure technologies.

Hands-on individual contributor who designs, implements, and automates enterprise observability across Dynatrace, SCOM, and ServiceNow ITOM. Improve alert quality, event correlation, onboarding, dashboards, and integrations using scripting and CI/CD. Partner with application, infrastructure, and operations teams to reduce noise, accelerate incident response, and increase monitoring coverage and automation.

Operate and maintain enterprise Oracle database platforms across on-prem and cloud. Implement automation and lifecycle management, perform upgrades/migrations, scripting (Shell/Python/SQL/PLSQL), monitoring, on-call incident response, HA/DR support, and basic performance tuning using AWR/ASH/ADDM.

Lead SRE for the Network Assurance Data Platform responsible for designing, building, and optimizing cloud and big-data infrastructure for ML/AI workloads. Provide technical leadership, troubleshoot production issues, implement SRE practices (monitoring, alerting, error budgets), mentor engineers, collaborate with cross-functional teams, and drive the platform roadmap and automation for enterprise-scale deployments.

QA Software Engineer responsible for functional and system testing of data center networking (L2/L3, VxLAN EVPN). Develop test automation (Python/Golang), plan tests, map requirements to test cases, log/track defects, debug networking issues, and apply AI-assisted tools to augment QA workflows.

Design, build, and operate scalable, secure multi-cloud infrastructure (AWS/GCP) and Kubernetes platforms; lead migrations (ECS→EKS/GKE), implement IaC (Terraform/Ansible), improve observability/CI-CD, define SLOs/SLIs, mentor teams, and participate in on-call incident response.

Design, implement, and maintain complex, secure AWS network architectures using IaC (Terraform/CloudFormation). Optimize connectivity across multi-account and multi-region environments, manage hybrid connectivity, collaborate on security controls, troubleshoot root causes, and support automation and pipeline integration. Participate in on-call rotation.

Develop and maintain secure, high-performance backend services. Participate in sprint planning, estimate and complete tasks, write unit and high-level tests, integrate frontend logic, use GitLab/GitHub for source control, deploy/configure on AWS, and contribute to process improvements.

Lead design and implementation of Salesforce Data Cloud and Marketing Cloud Personalization solutions. Architect data models, ingestion pipelines, identity resolution, audience activation, and real-time personalization. Integrate MarTech systems, ensure data quality and privacy compliance, optimize performance, troubleshoot integrations, mentor engineers, and support journey orchestration and audience segmentation.

Lead architecture and hands-on development of scalable, reliable backend and ML deployment infrastructure. Guide multiple platform teams, resolve critical system issues, design workloads, and raise engineering and operational standards.

Design, develop, and maintain high-quality software solutions using Java, React, Python, and shell scripting. Write and execute unit and regression tests, collaborate with cross-functional teams, and apply strong CS fundamentals and problem-solving skills. Exposure to cloud platforms (AWS/Azure) is a plus.